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Review

Barley’s Second Spring as a Model Organism for Chloroplast Research

Dipartimento di Bioscienze, Università Degli Studi di Milano, 20133 Milano, Italy
*
Author to whom correspondence should be addressed.
Plants 2020, 9(7), 803; https://doi.org/10.3390/plants9070803
Submission received: 10 June 2020 / Revised: 22 June 2020 / Accepted: 24 June 2020 / Published: 27 June 2020

Abstract

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Barley (Hordeum vulgare) has been widely used as a model crop for studying molecular and physiological processes such as chloroplast development and photosynthesis. During the second half of the 20th century, mutants such as albostrians led to the discovery of the nuclear-encoded, plastid-localized RNA polymerase and the retrograde (chloroplast-to-nucleus) signalling communication pathway, while chlorina-f2 and xantha mutants helped to shed light on the chlorophyll biosynthetic pathway, on the light-harvesting proteins and on the organization of the photosynthetic apparatus. However, during the last 30 years, a large fraction of chloroplast research has switched to the more “user-friendly” model species Arabidopsis thaliana, the first plant species whose genome was sequenced and published at the end of 2000. Despite its many advantages, Arabidopsis has some important limitations compared to barley, including the lack of a real canopy and the absence of the proplastid-to-chloroplast developmental gradient across the leaf blade. These features, together with the availability of large collections of natural genetic diversity and mutant populations for barley, a complete genome assembly and protocols for genetic transformation and gene editing, have relaunched barley as an ideal model species for chloroplast research. In this review, we provide an update on the genomics tools now available for barley, and review the biotechnological strategies reported to increase photosynthesis efficiency in model species, which deserve to be validated in barley.

Graphical Abstract

1. Barley, the Crop and the Model Species

Barley (Hordeum vulgare) is a self-pollinating monocotyledonous plant species that belongs to the Poaceae, a grass family that includes several major crops exploited in modern agriculture. Its domestication dates back to 10,000 BC, took place in the Fertile Crescent and began with the wild species Hordeum vulgare ssp. spontaneum [1]. Barley ranks fourth in terms of annual grain tonnage after maize, wheat and rice, with a worldwide production level (2018/2019) of 141 million tons. The primary role of cultivated barley (Hordeum vulgare ssp. vulgare) is as a source of animal feed (about 75% of the global production), with subsidiary uses in alcoholic and non-alcoholic beverages (20%), and in human nutrition (5%)—partly due to its high content of beta-glucan, a beneficial fibre that can reduce levels of cholesterol in the blood. During the 20th century, barley was widely exploited as a model species for crop studies. As a self-pollinating species with a diploid (2n) genome and a haploid complement of only seven chromosomes, barley proved to be an excellent model organism for both basic and applied research. Furthermore, due to the fact that wild barley (Hordeum vulgare ssp. spontaneum) can grow in a wide range of environments and climates, from the Arctic Circle to the equatorial highlands, barley is cultivated more widely than any other major crop. This resilience relies on a wealth of natural genetic diversity which enables the plant to adapt effectively to various environmental challenges such as cold temperatures, drought, alkalinity and salinity, and makes it a perfect model species for investigating crop adaptation to abiotic stresses [2].

1.1. A Brief History of Genome Manipulation in Barley

Hordeum vulgare was one of the very first crops used in cereal improvement programs based on different induced mutation strategies. In 1930, Stadler studied the mutagenic effects of different types of radiation on maize and barley, describing chlorophyll-deficient and virescent phenotypes in seedlings [3]. In 1938, Nilsson-Ehle and Gustafsson tested X-rays and UV light on the barley cultivar (cv.) ‘Gull’ and isolated several mutants, which were named albina, xantha, alboviridis, viridis, tigrina, striata and maculata, categorizing them by their carotenoid and chlorophyll contents and distribution within the leaf blade [4]. The characteristics of several mutated lines were recognized as being very valuable for potential use in agriculture, since they exhibited alterations in grain yield, straw stiffness, straw length and tillering capacity, as well as changes in spike firmness, kernel maturation and pigmentation [5]. Later on, two varieties of barley ‘Trebi’ and ‘Moister’ were exposed to the radiation generated by the first aerial atomic explosion at Bikini atoll in 1946 [6]. Meanwhile, Gustafsson and Mackey applied mustard gas to barley to observe the effect of chemical mutagenesis [7], whereas Ehrenberg and collaborators tested various mutagenic compounds on barley and evaluated their impact on chlorophyll accumulation [8]. After these pioneering experiments, a broad range of chemical and physical mutagens were tested systematically. During this phase, alkylating agents able to generate G/C to A/T transitions in DNA, such as EMS (Ethyl Methane Sulfonate), ENU (N-nitroso-N-ethylurea), MNU (N-nitroso-N-methylurea), DES (diEthyl Sulfate) and sodium azide (NaN3), were widely used for the mutagenesis of barley. The first chemically induced barley variety, ‘Luther’, was released in the US in 1966. ‘Luther’ was obtained by exposing the variety ‘Alpine’ to DES. In 1965, in Czechoslovakia, the variety ‘Diamant’ was obtained after gamma-ray irradiation. This new variety was ~ 15 cm shorter than the parental ‘Valticky’ and displayed an increase in grain yield amounting to about 12% [9]. At around the same time, in the UK, ‘Golden Promise’ was registered. This semi-dwarf cultivar originated from exposure of the salt-sensitive variety ‘Maythorpe’ to gamma rays [10]. The generation of ‘Golden Promise’ represented an important step towards the development of tissue culture and barley transformation techniques (see below).

1.2. Early Studies and Milestones in Understanding of Chloroplast Biogenesis and Physiology in Barley

Genetic studies of barley have not been restricted to breeding programs. The plant has also been used as a model species to dissect the molecular mechanisms that underlie plant development and physiology and, for a large part of the 20th century, it served as a major experimental system for the investigation of chloroplast biogenesis and photosynthesis. In particular, several studies during the 1970s characterized different aspects of plastid structure and development, such as plastid growth, replication and differentiation. Dark-grown barley seedlings were used to determine the protochlorophyll content and structure of the etioplasts. Exposure to different light conditions allowed chloroplast development to be characterised from both structural and biochemical points of view [11,12,13,14].
The organization of chloroplast membranes was analysed in chloroplast preparations solubilised with digitonin and fractionated by electrophoresis, proving the existence of distinct sets of membranes [15]. The functionality and structural organization of thylakoids were also studied in barley mutants altered in chlorophyll biosynthesis [16] and revealed the impact of such changes on thylakoid membrane organization. For instance, the chlorina-f2 mutant, which is impaired in chlorophyll b accumulation, led to the discovery of light-harvesting chlorophyll-binding proteins [17,18,19,20]. Chlorina-f2 was also used to assess the impact of protein-chlorophyll complexes on the ultrastructure of thylakoid membranes, shedding light on the organisation of the photosynthetic apparatus [17,21]. In addition, the tigrina-d mutant [22], originally suggested to be involved in the early steps of tetrapyrrole biosynthesis prior to ALA formation, was recently identified as the barley orthologue [23] of the FLU gene of Arabidopsis thaliana, a nuclear-encoded, plastid-localized protein that plays a key role in the negative-feedback control of chlorophyll biosynthesis, with an essential role during the dark-to-light switch [24]. Moreover, the barley xantha mutants helped to elucidate key steps in chlorophyll biosynthesis [25]: xantha-l was shown to code for a mutated form of Mg-protoporphyrin IX monomethyl ester cyclase, while xantha-f, -g, and -h carry genetic lesions at three distinct loci encoding the three Mg-chelatase subunits [26,27].
From a physiological point of view, Smith et al. [28] documented changes in chloroplast activity during de-etiolation of barley seedlings by measuring the Hill reaction in relation to chlorophyll accumulation. The correlation between plastid ultrastructure, chlorophyll synthesis and development of photosynthetic activity was also evaluated by measuring O2 evolution [29].
Besides the characterization of the photosynthetic apparatus, barley played an important part in the dissection of the chloroplast’s gene expression machinery. Indeed, evidence for a fully nuclear-encoded transcriptional activity in plastids, later named the Nuclear-Encoded RNA Polymerase (NEP; [30]), was first reported in barley, based on analysis of the albostrians mutant. In particular, the synthesis of RNA was reported in the white sectors of albostrians leaves, which harbor plastids that are devoid of ribosomes. These data provided initial evidence for the existence of a nuclear-encoded and plastid-localized RNA polymerase [31]. In addition, ribosome-free plastids of albostrians were helpful in distinguishing between the set of plastid genes preferentially transcribed by NEP, such as rRNA, rpo and rps15, and the set transcribed by the Plastid-Encoded RNA polymerase (PEP), which is enriched in photosynthesis-related genes such as psbA, rbcL, atpI-H [31,32]. Furthermore, the barley albostrians mutant was essential to the initial detection of communication between organellar and nuclear genomes. By analyzing albostrians, which is characterized by reduced amounts and/or activities of nucleus-encoded chloroplast proteins including the small subunit of ribulose-1,5-bisphosphate carboxylase⁄oxygenase (Rubisco), ferredoxin NADP+ reductase, and enzymes of the Calvin cycle, Börner provided the first evidence for plastid signals that control nuclear gene expression, leading to the discovery of chloroplast-to-nucleus retrograde communication [33,34,35].

2. Arabidopsis thaliana as the Model Plant of Modern Times

In the 1990s, crop models lost their dominant position in basic research on plants to Arabidopsis thaliana, which has now reigned supreme for three decades. Its small size, short life cycle, ability to produce thousands of seeds from a single plant and simple growth requirements were perfectly compatible with lab facilities and research workflows. Moreover, its small diploid nuclear genome (~135 Mb on 5 chromosomes) and the Agrobacterium tumefaciens-based transformation protocol made Arabidopsis ideal for use in basic research [36]. The Arabidopsis Genome Project was initiated in 1990, and led to the publication of the first sequenced plant genome in 2000 [37]. This, together with large collections of insertional mutants (SIGnAL, http://signal.salk.edu/cgi-bin/tdnaexpress), permitted the functional characterization of large numbers of genes and biological processes, thus laying the foundations for the modern age of plant biology.
Although Arabidopsis has been considered the “golden” model species in plant science, it does have some limitations in terms of the extent to which lessons on development and physiology learnt from this model species can be extrapolated to monocots, including barley. This is particularly true for processes such as chloroplast biogenesis and photosynthesis. For instance, Arabidopsis does not produce an overhead canopy, and therefore cannot be employed in studies of plant architecture and optimization of photosynthesis under field conditions [38,39]. Moreover, the biogenesis of the multisubunit photosynthetic complexes, and indeed the chloroplast more generally, appear to differ significantly between monocotyledonous and dicotyledonous plants [40]. In monocots, the process of chloroplast development from the proplastid to functional chloroplasts can be observed as a gradient along the leaf blade, since leaves have a basal meristem and, as a consequence, the youngest cells carrying proplastids are found at the leaf base, while the leaf tip consists of the oldest cells with mature chloroplasts [29,41,42]. In contrast, in dicots like Arabidopsis thaliana chloroplast development varies between plant organs—i.e., between cotyledons and leaves—and with respect to the leaves, most of the events take place inside the shoot apex, which constitutes a major limitation for functional studies [43,44]. In light of these limitations, the widely accepted knowledge transfer route from Arabidopsis to crops is not always the most convenient and effective strategy, especially in the era of next-generation sequencing technologies and gene-editing approaches that make functional genomics studies feasible in species with complex genomes.

3. The Genomes of Barley

3.1. The Nuclear Genome

For a long time, the absence of a reference genome has been the major obstacle to the exploitation of barley genomic resources in both research and breeding programs. The relatively large size of the barley genome (5.3 Gb), together with its high proportion of repetitive DNA (more than 80%), has severely compromised the assembly of the whole-genome shotgun sequence and the generation of a reference genome (Figure 1). However, in 2012 the International Barley Sequencing Consortium circumvented these problems by integrating several different strategies. This involved coupling a detailed physical map of the barley cv. ‘Morex’ (a US spring six-row malting barley) with high-density genetic maps, superimposing deep short-read whole-genome shotgun assemblies, and annotating the resulting linear genomic sequence with dense-coverage RNA-derived, i.e., full-length cDNA and RNA-seq, data. This strategy allowed approximately 4 Gb (80%) of the genome to be delineated, including more than 90% of the expressed genes, together with their physical distribution and patterns of expression [45]. This partially ordered sequence assembly has since been substantially improved by Mascher and collaborators [46] through the release of a map-based reference sequence of the barley cv. ‘Morex’ genome that included the first comprehensively ordered assembly of the pericentromeric regions. The final genome sequence covered 4.79 Gb (approximately 95% of the total genome size), of which 4.54 Gb were assigned to precise chromosomal locations. Mapping of transcriptome data and reference protein sequences from other plant species to the assembly identified 39,734 high- and 41,949 low-confidence genes, representing 98% of the Morex gene complement. Furthermore, homology-guided repeat annotation identified 3.7 Gb (80.8%) of the assembled sequence as derived from transposable elements, most of which were present as truncated and degenerated copies, with only 10% of mobile elements being intact and potentially active. A second improved version of the barley cv. ‘Morex’ reference genome has recently been released [47]. This is based on the use of TRITEX, an open-source computational workflow, whose output is available on the IPK Barley BLAST server (https://webblast.ipk-gatersleben.de/barley_ibsc/, see Table 1). The need for an improved assembly arose from large sequence gaps and local mis-assemblies present in the first reference sequence. A total of 32,787 high- and 30,871 low-confidence gene models were annotated in the second version of the barley genome. The smaller number of high-confidence gene models described in the second version of the genome (32,787 vs 39,734) is certainly due to the more precise annotation process, making the TRITEX-based assembly a greatly improved version of the reference genome. More recently, a reference genome assembly for the barley cv. Golden Promise has been reported [48]. The assembled genome of seven chromosomes comprising 4.13 Gb contains 95.2% of complete and single-copy genes and will prove particularly useful for functional genomics studies, given that Golden Promise is the most readily transformable barley genotype.

3.2. The Exomes

A broader knowledge of the genetic diversity of barley is an essential prerequisite for the development of new varieties with increased yields and greater environmental robustness. A comprehensive genotyping of germplasm based on exome sequencing currently offers the best route to this goal. Sequencing of the coding DNA alone dramatically decreases the complexity of the task, and reduces the computational effort and associated costs compared with whole-genome approaches. This makes it highly suitable for crops like barley, which contain very high proportions of transposon DNA [46]. The application of the exome approach to barley was initially reported in Mascher et al. [55], and was first applied to examine the crop’s adaptive responses in an analysis of 267 geo-referenced landraces and wild accessions [56]. This analysis combined exome capture and sequencing with field trials, bioclimatic data and various statistical approaches to investigate the genomic signatures that underlie barley’s adaptive responses to various environmental stresses. A total of 1,688,807 SNPs and 143,872 short InDels were identified in 59.5 Mb of genomic sequence. The study yielded a large pool of genetic variation to be exploited in future breeding programs, as many of the SNPs identified were rare, showing an overall allele frequency below 5% and being more highly represented in wild accessions. A similar strategy based on exome capture sequencing [57] explored the genetics of barley adaptation to multiple contrasting environments in 371 domesticated lines, comprising cultivars and landraces of both two- and six-rowed types. The identification of 435,431 SNPs uncovered significant genetic diversity—including a well-defined subset of spring-growth-habit barleys, made up of 111 cultivars and 63 landraces—as well as revealing strong differentiation at specific chromosome positions between two- and six-row barley lines, and high adaptation and heritability of phenotypes such as days to heading, plant height, 1000-grain weight and awn length.

4. Barley Genetic Resources: Natural and Induced Genetic Diversity

4.1. Natural Genetic Diversity

Crop improvement through crossing of high-performance cultivars has resulted in the loss of genetic diversity across cultivated genomes, a phenomenon known as the “domestication bottleneck” [58]. Therefore, landraces and wild accessions of barley are a precious pristine source of natural allelic variability that can be exploited in barley breeding programs, as has now been verified by exome sequencing assays (see above). Over the years, several research institutes around the world have collected barley accessions with the aim of preserving this genetic variability and making it accessible to breeders through the adoption of advanced methods that are better able to discover, dissect and deploy useful variations [46,59]. The major collections are maintained in institutions around the world, and the most representative are listed in Table 2. Among them, the ICARDA Collection hosts 222,704 barley accessions. Most of these are advanced materials, such as released cultivars and research lines, while 22% are geo-referenced wild barley relatives and landraces. The International Barley Core Collection (BCC) is a research collection that aims to represent the fullest possible range of the extant diversity of wild and cultivated barley. About 1300 accessions are currently available. Of these, some 300 varieties and landraces are held in the IPK Gatersleben Genebank. Of special relevance is the WHEALBI collection (http://www.whealbi.eu/), which comprises 511 accessions. This source of material represents a worldwide selection of barley’s genetic diversity, including landraces, cultivars and progenitors. In particular, the WHEALBI panel includes accessions originating from a wide range of locations covering key crop production regions in Europe, Africa, the Middle East and Asia. A subset of 371 domesticated lines chosen from the entire WHEALBI germplasm has been subjected to exome sequencing in order to correlate genomic and phenotypic data [57]. Various online platforms have been developed to facilitate searches of germplasm collections and provide detailed information on their origins and characteristics. Some of these are listed in Table 2.

4.2. Induced Genetic Diversity: Random Chemical and Physical Mutagenesis

Besides natural genetic diversity, the availability of barley mutants is very important for understanding gene functions and their links with phenotypical traits (Figure 1). As described above (see Section 1.1), chemical and physical agents have been used to generate random mutagenized barley populations by several research groups. A few of these populations, derived from diverse genetic backgrounds, are listed in Table 3. Two large-scale EMS mutant populations from the cv. Optic, for instance, have been developed [60] and comprise approximately 20,000 M2 plants. TILLMore, a sodium azide-mutagenized population of cv. Morex, has also been created [61] and consists of 4906 M3 families. More recently, the HorTILLUS (Hordeum—TILLING—University of Silesia) population, derived from the spring barley cultivar Sebastian following treatment of seeds with two chemical mutagens (NaN3 and MNU) and consisting of more than 9600 M2 plants, was reported [62]. However, one limitation of the available resources is that the parental cultivars used for mutant population development are all recalcitrant to genetic transformation. Consequently, gene-specific complementation assays, which are essential for phenotype-to-genotype association, are generally not possible. To mitigate this drawback, a heavily mutagenized EMS population of cv. Golden Promise (the reference variety used across the barley research community for genetic transformation and functional genomics) has been developed [63]. This population permits direct complementation of candidate mutations, opening up new possibilities for efficient functional genomics studies.
During the last 15 years, mutagenized populations have emerged as a key resource for gene discovery [67]. Using forward genetics approaches, many genes, especially those that confer morphological or developmental phenotypes, have now been isolated [68,69,70,71]. In addition, Targeting Induced Local Lesions in Genomes (TILLING; [72]) has become particularly powerful for gene validation studies, and for exploring the roles of genes for which no obvious visual phenotype can be predicted, i.e., the reverse genetics approach [73]. Moreover, the TILLING approach produces allelic series, which are important for genes whose knock-out would be lethal, but also in cases where proteins/enzymes with novel properties are needed. Identification of the DNA sequence changes responsible for mutant phenotypes has been performed, so far, through heteroduplex analysis [74]. This involves amplification of the gene of interest from a DNA pool, enzymatic cleavage of heteroduplexes formed by allelic mismatches, and detection of the cleaved strands in polyacrylamide gels, followed by sequencing for confirmation of the variation. However, with the advent of Next Generation Sequencing (NGS) technologies and the availability of reference genomes, the use of exome capture sequencing and/or pooled amplicon sequencing of multiple target genes appears to be more effective in the case of barley [63,75]. Moreover, it is worth mentioning that these mutagenized barley plants are not considered as Genetically Modified (GM), and can be used in field trials to evaluate their performance, even in countries in which the cultivation of GM organisms is forbidden.

4.3. Induced Genetic Diversity: Genome Transformation and Insertional Mutagenesis

The need for complete sequencing of the barley genome, the range of genetic diversity and the numerous mutant populations all underline the importance of developing an efficient and versatile transformation protocol for functional genomics studies. In barley, many types of explant tissues have been used for tissue culture and plant regeneration, and immature embryos have proven to be the most suitable for barley transformation. Immature embryos were first used as explants for barley transformation in 1986 [76], and gradually became the most popular system. However, plant regeneration from immature embryo-derived callus is influenced by genotype, with the highest rates of success having been obtained in the cv. Golden Promise [77]. Up to now, a variety of DNA delivery methods, which involve biological, chemical, mechanical and/or physical treatment, have proven effective in barley. However, Agrobacterium-mediated transformation seems to be the best strategy, since it is characterised by low cost, high efficiency, simple integration, stable inheritance and expression of the transgene over generations. Indeed, the current transformation protocol integrates Agrobacterium and immature embryos, yielding an average transformation efficiency of 25% [78]. This protocol is widely used for overexpression, RNAi (RNA interference) applications and, more recently, CRISPR/Cas 9-mediated gene editing, as discussed below. Transgenic approaches have been employed to control pathogens such as Barley Yellow Dwarf Virus (BYDV; [79]), Fusarium graminearum [80], leaf stripe disease (Pyrenophora graminea; [81]), powdery mildew (Blumeria graminis f. sp. Hordei; [82]) and stem rust (Puccinia graminis f. sp. Tritici; [83]). Moreover, the transgenic technology has also been used to increase tolerance to environmental stresses, such as drought [84,85] and frost [86,87,88], and to modify enzymes, such as α-amylase, β-amylase, β-glucanase and (1,3;1,4)-β-D-glucan endohydrolase [89,90,91,92,93], which have an influence on the brewing process. The transgenic technology is also essential for mutagenesis. In barley, insertional mutagenesis has been used to produce loss-of-function mutations based on transposable elements such as the Ac/Ds-based tagging system [94,95,96], and gain-of-function mutations using the activation tagging strategy that promotes or enhances, through random genomic insertion, the expression of neighbouring regions [95]. However, unlike the case in Arabidopsis, no large-scale T-DNA insertional populations are currently available for barley.

4.4. Induced Genetic Diversity: Gene Editing

The availability of the whole genome sequence, together with the recently developed gene-editing strategies, makes targeted mutagenesis possible in barley [97]. Among the various customized endonucleases used in plant research, the type II Clustered Regularly Interspaced Short Palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) system has proven to be the best tool for gene editing [98]. The CRISPR/Cas9 gene-editing technology is easy to design and very precise. It requires the synthesis of oligonucleotides which, once transcribed into RNA, guide the Cas9 enzyme to the desired target. Being based on RNA–DNA interaction, the method is quite specific. The CRISPR/Cas9 technology can be used to create null alleles (i.e., gene knock-outs), and by adding a designed DNA template to the CRISPR/Cas9 system, it is possible to replace the target sequence via the error-free homology-directed repair pathway [99]. Furthermore, the system can be used to modulate gene expression [100]. In the past few years, the CRISPR/Cas9 technique has been increasingly applied to barley. In particular, a simple and efficient CRISPR/Cas9 platform for the induction of single and multiple, heritable mutations has been introduced [101]. The CRISPR/Cas9 technique has also been utilised to study genes involved in responses to pathogens, such as HvMORC1, whose protein product is one of the seven MORC members encoded by the barley genome [102]. Knock-out alleles of HvCKX1 or HvCKX3, which are involved in the regulation of cytokinin metabolism and root morphology [103], as well as mutants in the D-hordein gene, which participates in the control of grain size and grain composition in barley [104], were also generated with the aid of CRISPR/Cas9.

5. Barley is Ready for a New Age of Functional Genomics Studies and Genetic Improvements

With the aid of the recently acquired collection of functional genomics tools, in a large part described above, the unique potential of barley as an ideal system for functional genomics studies can now be fully exploited. These new methods can elucidate, for instance, the molecular mechanisms behind chloroplast-to-nucleus communication, which is essential for chloroplast biogenesis and leaf emergence, leaf senescence and adaptation to environmental stresses. They can also be used to test—in an established crop plant—strategies intended to increase photosynthesis efficiency and biomass production, which have been shown to work in model species (Figure 2).

5.1. Plastid-to-Nucleus Retrograde Signalling

The chloroplast genome in barley encodes only 78 of the 3000 proteins that compose the plastid proteome [105,106]. The rest now reside in the nuclear DNA. Hence, signalling pathways that allow plastid and nuclear genomes to communicate with each other are essential for proper chloroplast development and functionality. The plastid-to-nucleus component of this circuit is often referred as “retrograde signalling” and it was first discovered in the barley mutant albostrians (see Section 1.2), which lacks plastid ribosomes and, concomitantly, shows reduced amounts and/or activities of nuclear-encoded plastidic proteins [33,34,35]. This channel is used to keep the nucleus informed of the developmental state of plastids (known as biogenic control), but it also signals changes in the functional status of fully developed chloroplasts in response to environmental factors, a process termed operational control [107]. Thus, chloroplast-to-nucleus communication is vital for chloroplast biogenesis and leaf emergence, as well as for the transition from chloroplast to gerontoplast during leaf senescence. Since the modulation of early leaf emergence and leaf senescence extends the proportion of the photosynthetically active radiation (PAR) that is intercepted by the crop over the growing season (the interception efficiency), both aspects of this communication are likely to be important determinants of crop yield. In addition, leaf senescence is a central process in maximising the efficiency of nutrient use, i.e., the ability of the plant to mobilise and translocate nutrients from leaves to grains. This is particularly true for small-grained cereals like barley, where up to 90% of the nitrogen is mobilised to the grains, mainly from the photosynthetic apparatus present in the leaves, and including Rubisco.
During the last 15 years, studies performed mainly in Arabidopsis thaliana have revealed a complex network of signals that allows chloroplasts to communicate their functional status to the nucleus. Singlet oxygen [108], H2O2 [109], the redox state of the photosynthetic electron transport chain [110], 3′-phosphoadenosine 5′-phosphate [111], the isoprenoid precursor methylerythritol cyclodiphosphate [112], β-cyclocitral [113,114] and other potential candidates [115,116,117,118,119] have been added to the list of operational control signals [107]. Understanding the degree to which these pathways are operative in monocot species like barley, together with a deeper knowledge of the regulatory, biochemical and redox networks that control the stability, functionality and disassembly of the photosynthetic apparatus under stress conditions and during induced senescence is pivotal for the identification of novel genes and favourable allelic variants for use in breeding programs.
Chloroplast biogenesis during leaf emergence is initiated upon light perception and is also dependent on plastid retrograde signals. Over the past two decades, many publications have explored the role of plastid gene expression and tetrapyrrole biosynthesis as sources of biogenic signals. This system is disrupted in ‘genomes uncoupled’ mutants (gun; [120]). Five of the six GUN proteins (GUN2-6) are enzymes of the tetrapyrrole biosynthesis pathway and control the branched pathways downstream of Protoporphyrin IX (for a review see [121]). GUN1, however, does not take part in tetrapyrrole biosynthesis, but is required for the generation of retrograde signals triggered by the accumulation of tetrapyrrole precursors and inhibition of plastid gene expression (PGE) [122]. More recently, GUN1 has been reported to play a prominent role in the maintenance of chloroplast protein homeostasis by modulating plastid protein synthesis through its interaction with the plastid ribosomal protein S1 [123], and to control the activity of the plastid protein import machinery [124,125], suggesting that unimported preproteins in the cytosol could act as messenger molecules. Although most of the information on biogenic retrograde signalling has been obtained in Arabidopsis, the barley mutant albostrians has proved to be a valuable system for studying the regulation of tetrapyrrole biosynthesis and the involvement of these compounds in communication between plastids and the nucleus. Due to the lack of plastid-encoded proteins in this mutant, low levels of tRNAGlu, which serves as a substrate activator in tetrapyrrole biosynthesis, are observed in bleached albostrians leaves, and this might be one reason for the much lower chlorophyll content in albostrians plastids [126,127,128]. In the mutant, the common precursors of all tetrapyrroles are channelled in the direction of heme synthesis, while the formation of chlorophylls is repressed [127]. This, in turn, suggests that excess heme might leave the chloroplast and act as a signalling molecule, as has been observed in Arabidopsis [129]. Recently, the mutation responsible for the albostrians phenotype has been identified. It lies in the barley gene HvCMF7, which codes for a putative plastid protein that belongs to the CCT motif family (CMF), which includes CONSTANS, CO-like and TOC1 [130]. This gene is likely to play a crucial role in plastid ribosome formation during early embryo development and hence for chloroplast development. The identification of the gene defect that causes the albostrians phenotype represents a major step forward in the understanding of the molecular mechanisms that mediate chloroplast biogenesis in barley. In this context, it would be interesting to determine whether a GUN1-like protein exists in barley. Furthermore, the gradient in chloroplast biogenesis observed in the barley leaf blade provides access to leaf sectors that contain cells of the same developmental stage, which facilitates the use of RNA-seq and proteomics approaches to investigate the molecular network at the basis of proplastid-to-chloroplast differentiation.

5.2. Photosynthesis and Yield

Doubling agricultural production by 2050 is essential if the demands of a constantly growing population for food and biomass are to be satisfied. Among cereals, barley straw is characterised by the highest content of carbohydrates [131]. Barley is therefore an ideal feedstock for the bio-based economy, since it can be used for the production of food/feed/spirits from grains, and renewable resources, including biofuel, from straw. It is worth mentioning here that none of the huge improvements in agricultural production made during the ‘Green Revolution’ were directly related to manipulations of photosynthesis. Hence, the process remains an unexplored target with a high potential for crop improvement. Indeed, the theoretical maximum efficiency of the conversion of solar energy into biomass in a C3 crop like barley is around 4.6% and this value decreases to 2.4% under field conditions across the entire growing season. Therefore, the conversion efficiency of visible solar energy is considerably below its theoretical maximum, and several promising targets for its improvement have been identified in model species, some of which are described below (Figure 2 and Table 4).

5.3. Optimization of Antenna Size in Crop Canopies

One of the main reasons for the lower conversion efficiency of solar radiation is the saturation of the photosynthetic machinery with light. Indeed, it has been demonstrated that the photosynthetic apparatus operates with near maximum efficiency when light levels are low. For instance, the photosynthetic process in a C3 plant is already saturated at approximately 25% of maximum sunlight [153]. As light absorption increases, photosynthetic efficiency declines. In fact, the antennal apparatus of photosystems is larger than optimal, since under competitive natural conditions, shading of neighbouring plants confers an important selective advantage on the upper storey [154]. However, this behaviour is clearly disadvantageous for cultivated crops. Reducing the size of the antenna systems in the leaves of the upper canopy can offer important advantages, saving the metabolic resources required for the production of the antenna complex and the activity of photoprotective mechanisms, while increasing the amount and quality of light able to reach the lower leaves [155]. Several studies have provided evidence that the reduction of antenna size can improve photosynthetic efficiency. For instance, cell suspensions of Synechocystis PCC6714 and Chlorella pyrenoidosa with reduced contents of light-harvesting pigments showed a photosynthetic activity 20–30% higher than the wild type [156]. An engineered Chlamydomonas reinhardtii strain with a small PSII antenna size exhibited about a 50% increase in photosynthetic efficiency under saturating levels of light [157]. In the same alga, a partial reduction in chlorophyll b levels resulted in a two-fold increase in photosynthetic rate at high light intensities [158]. The hypothesis that a constitutively smaller antenna size should improve canopy photosynthetic efficiency by minimizing the over-absorption of the incident sunlight, and improving canopy light penetration, has also been tested in higher plants. A decrease in antenna size in tobacco, for instance, led to an increase of about 25% in plant–canopy biomass accumulation under high-density cultivation conditions [39]. Similarly, beneficial effects were observed in a rice genotype with pale green leaves cultivated under high light conditions [132].

5.4. Increased Photosynthetic Electron Transport

The modification of the thylakoid electron transport chain has also been reported to contribute to the improvement of photosynthetic performance and biomass accumulation. For instance, Chida et al. [133] showed that the expression of the algal Porphyra yezoensis cytochrome c6 in the chloroplasts of Arabidopsis led to an increase of CO2 assimilation, and biomass production [133]. The overexpression of cytochrome c6 from Ulva fasciata in tobacco gave similar results [134]. Moreover, overexpression of plastocyanin in Arabidopsis resulted in 1.6-fold increase in leaf area [135]. A large increase in biomass and seed yield was also obtained in Arabidopsis upon overexpression of its endogenous Rieske FeS protein, a subunit of the cytochrome b6/f [136].

5.5. Improving the Adaptation to Fluctuating Light: Dissipation of Excess Energy through Non-Photochemical Quenching

Non-Photochemical Quenching (NPQ) serves as photoprotective mechanism in leaves, and is responsible for the dissipation of excess absorbed light energy as heat, thus preventing oxidative damage. Dissipation takes place in photosystem II (PSII) and involves the enzymes violaxanthin de-epoxidase (VDE) and zeaxanthin epoxidase (ZEP) [159], together with PsbS, a PSII protein subunit [160]. Activation and relaxation of NPQ take place over timescales of seconds to minutes, which are rather slow with respect to the instantaneous changes in light intensities observable within plant canopies in field settings. This leads to loss of photosynthetic efficiency, as heat dissipation continues even when light does not exceed the photosynthetic capacity [161]. Recently, the overexpression of PsbS, ZEP and VDE genes was reported in tobacco plants. These plants displayed an improved kinetics of NPQ, resulting in about 20% increase in biomass accumulation under both greenhouse and field conditions [137].

5.6. Transgenic Manipulation of the Calvin–Benson Cycle

Attempts to improve photosynthetic efficiency through transgenic manipulations have also focused on the overexpression of single enzymes of the Calvin–Benson cycle (Table 4). For example, overexpression of sedoheptulose-1,7-bisphosphatase (SBPase) in Arabidopsis [139], tobacco [138,140] and tomato [141] has shown that an increased SBPase activity results in a 30-40% increase in biomass yield, depending on the species. More recently it was shown that significant increases in photosynthetic rates, biomass and grain yield can be achieved by augmenting SBPase activity in wheat [162]. In 2012, the overexpression of the fructose 1,6-bisphosphate aldolase (FBPA) enzyme in tobacco also resulted in an increase in biomass production of 10-30% [142]. Overall, these findings demonstrated that SBPase and FBPA are enzymes that can exert control over the flow of carbon in the Calvin–Benson cycle in a number of different species, and proved that their manipulation also benefits grain yield. Efforts to increase the light activation rate of the Calvin–Benson cycle have also yielded very promising results. For instance, the overexpression of maize Rubisco activase in rice increased the rate of Rubisco activation by light and at high temperature (40 °C; [143]). Increased levels of thioredoxin f (TRX f), which is known to reductively activate enzymes of the Calvin–Benson cycle, have also increased leaf weight and sugar content under both ambient and increased CO2 conditions [144,145]. Overexpression of the chloroplast NADPH-dependent thioredoxin reductase (NTRC), also reported to interact with several Calvin–Benson enzymes, has also been shown to be beneficial for productivity in Arabidopsis. Indeed, the biomass increases in the NTRC-overexpressing Arabidopsis plants were between 2- and 2.5-fold in plants grown under long- and short-day conditions, respectively, at fluence levels of 600 μmol m−2 s−1 light [146,147]. Additionally, overexpression of NTRC has been reported to enhance tolerance to oxidative and drought stresses. These are traits of great significance for improvement of crop productivity under field conditions [163].

5.7. Photorespiration and Photorespiratory Bypasses

Photorespiration is also an important target to improve photosynthesis. For instance, the reversible conversion of glycine into serine that takes place in mitochondria is crucial for plants [164,165,166,167,168,169]. These reactions involve the pyridoxal phosphate-dependent enzyme glycine decarboxylase (P-protein), the THF-dependent enzyme aminomethyltransferase (T-protein), the NAD+-dependent enzyme dihydrolipoyl dehydrogenase (L-protein) and the lipoic acid-containing H-protein. In Arabidopsis, overexpression of the H- or L-protein resulted in an improvement in photosynthetic efficiency and larger biomass accumulation [148,149]. Similar results were also obtained with the mesophyll-specific overexpression of the H-protein in tobacco [150]. Besides increasing photorespiration flow and reducing accumulation of photorespiratory intermediates, the most promising strategies for enhancing productivity are based on photorespiratory bypasses, i.e., the introduction of alternative pathways to metabolize 2PG, thus liberating CO2 in the chloroplast stroma for Rubisco fixation [151,152]. In particular, Kebeish et al. introduced the Escherichia coli glycolate catabolic pathway into Arabidopsis. In these transgenic plants, the glycolate derived from the dephosphorylation of 2-phosphoglycolate was converted into glycerate in the chloroplast without the release of ammonia, which can make nitrogen use more efficient. Moreover, CO2 release was shifted from mitochondria to chloroplasts, based on the idea that CO2 should have a better chance to be re-fixed by Rubisco if it is released in the chloroplast rather than in the mitochondria. As a result of the increased concentration of CO2 in the chloroplasts and the reduced energy demand for photorespiration, transgenic plants grew faster and produced more biomass, indicating that the bypass effectively reduced photorespiration and enhanced photosynthesis. Inspired by this work, another group [152] introduced synthetic glycolate metabolic pathways that are more efficient than the endogenous pathway into tobacco chloroplasts. Flux through the synthetic pathways was maximized by inhibiting glycolate export from the chloroplast. These synthetic pathways were able to improve photosynthetic quantum yield by 20% and biomass productivity by >40% in replicated field trials.
It is reasonable to expect that the various transgenic approaches described above will result in increased photosynthetic quantum yield, biomass and, eventually, grain yield also in barley, although species-dependent effects were observed in the multigene manipulation of the Calvin–Benson cycle [138,139]. In addition to that, the large genetic diversity readily available in barley also allows the exploitation of natural and/or induced allelic variants of enzymes involved in defining the antenna size of photosystems, in thylakoid electron transport, NPQ, the Calvin–Benson cycle, and photorespiration, which could ameliorate barley yield (Table 4). These allelic variants can be identified either by allele mining of exome sequences of barley cultivars, landraces and wild varieties (see Table 2), or through TILLING of mutant populations (Table 3). As mentioned above, the latter approaches enable one to obtain new barley varieties by using the classical breeding approach based on crosses. Thus, the performance of the new varieties can be verified under field conditions and they could be grown even in countries that have banned the cultivation of genetically modified plants.

6. Conclusions

Its genetic diversity and the availability of a large collection of molecular tools make barley an ideal model crop for functional genomics studies related to chloroplast biogenesis and retrograde communication. Such studies will reveal to what extent retrograde signalling mechanisms are conserved between Arabidopsis and barley, and permit us to learn more about aspects of chloroplast biogenesis that are specific to monocots. The recent identification of the genetic factor responsible for the albostrians phenotype demonstrates that this type of analysis can now be effectively conducted in barley. The fact that the gene concerned, HvCMF7, encodes a protein that is apparently located exclusively in plastids highlights the need for systematic investigation of barley mutants with defects in chloroplast biogenesis. Furthermore, novel approaches to the screening of barley mutant populations are required to elucidate the molecular details of the chloroplast-to-nucleus communication. The genes and allelic variants identified in future studies could have an important impact in breeding programs, since retrograde communication controls the leaf life cycle.
Barley can also make a significant contribution to the testing of novel biotechnological strategies for improving photosynthesis, and the validation of their effects on biomass accumulation and grain yield. In recent decades, our knowledge of the photosynthetic process has increased substantially, and improvements in its efficiency have been demonstrated in different model species. The high level of conservation of the photosynthetic process strongly argues that similar enhancements can be achieved in barley. Thanks to the high content of sugars in the straw, barley could be transformed into a dual-purpose crop suitable for the production of biofuel from the straw, and food, feed and spirits from the grain. Furthermore, the use of barley varieties characterised by high photosynthetic efficiency and reduced antenna size of photosystems is a promising strategy for boosting productivity and water use efficiency, while increasing land–surface reflectivity to offset greenhouse gas warming. In light of the foreseeable rise in the demand for food by the middle of this century, and the fact that the development and commercialization of a new plant variety with improved quality takes 10 to 15 years, concerted efforts to increase agricultural yields through manipulation of photosynthesis must be initiated immediately. The “redesign” of photosynthesis must represent one of the main pillars of the next “Green Revolution”.

Author Contributions

Conceptualization, P.P., L.R., F.S., and L.T.; methodology, P.P., L.R., F.S., and L.T.; validation, P.P., L.R., and F.S.; resources, P.P.; data curation, P.P., L.R., and F.S.; writing—original draft preparation, P.P., L.R., F.S., and L.T.; writing—review and editing, P.P. and L.R.; visualization, C.M.; supervision, P.P.; project administration, P.P.; funding acquisition, P.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received funding from ERA-NET Cofund FACCE SURPLUS (BarPLUS grant id. 93).

Acknowledgments

We apologize to the authors who did not get their work discussed in this review due to space limitation. The authors thank Paul Hardy for critical reading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zohary, D.; Hopf, M.; Weiss, E. Domestication of Plants in the Old World: The origin and spread of domesticated plants in Southwest Asia, Europe, and the Mediterranean Basin. In Domestication of Plants in the Old World: The Origin and Spread of Domesticated Plants in Southwest Asia, Europe, and the Mediterranean Basin; Oxford University Press: Oxford, UK, 2013; ISBN 9780191810046. [Google Scholar]
  2. Dawson, I.K.; Russell, J.; Powell, W.; Steffenson, B.; Thomas, W.T.B.; Waugh, R. Barley: A translational model for adaptation to climate change. New Phytol. 2015, 206, 913–931. [Google Scholar] [CrossRef] [PubMed]
  3. Stadler, L.J. Some genetic effect of X-rays in plants. J. Hered. 1930, 21, 3–20. [Google Scholar] [CrossRef]
  4. Afsson, Å.K.E.G. Studies on the genetic basis of chlorophyll formation and the mechanism of induced mutating. Hereditas 1938, 24, 33–93. [Google Scholar] [CrossRef]
  5. Afsson, A.K.E.G. Mutation experiments in barley. Hereditas 1941, 27, 225–242. [Google Scholar] [CrossRef]
  6. Smith, L. Effects of atomic bomb radiations and x-rays on seeds of cereals: A comparison of the effects of ionizing radiations from the “ test able” atomic bomb and from x-rays on seeds of barley, wheat and oats. J. Hered. 1950, 41, 125–130. [Google Scholar] [CrossRef] [PubMed]
  7. Gustafsson, Å.; Key, J.M. The genetical effects of musterd gas substances and neutrons. Hereditas 1948, 34, 371–386. [Google Scholar] [CrossRef]
  8. Ehrenberg, L.; Gustafsson, Å.; Lundqvist, U.; Stenhagen, E.; Thorell, B. Chemically induced mutation and sterility in Barley. Acta Chem. Scand. 1956, 10, 492–494. [Google Scholar] [CrossRef]
  9. Bouma, J.; Ohnoutka, Z. Importance and application ot the mutant “Diamant” in spring barley breeding. Plant Mutat. Breed. Crop Improv. 1991, 1, 127–134. [Google Scholar]
  10. Forster, B.P. Mutation genetics of salt tolerance in barley: An assessment of Golden Promise and other semi-dwarf mutants. Euphytica 2001, 120, 317–328. [Google Scholar] [CrossRef]
  11. Henningsen, K.W.; Boynton, J.E. Macromolecular physiology of plastids. VII. The effect of a brief illumination on plastids of dark-grown barley leaves. J. Cell Sci. 1969, 5, 757–793. [Google Scholar]
  12. Kannanga, G.; Gamini, C. The formation of Ribulose Diphosphate Carboxylase Protein during chloroplast development in Barley. Plant Physiol. 1969, 44, 1533–1537. [Google Scholar] [CrossRef] [PubMed]
  13. Wellburn, A.R.; Robinson, D.C.; Wellburn, F.A.M. Chloroplast development in low light-grown barley seedlings. Planta 1982, 154, 259–265. [Google Scholar] [CrossRef] [PubMed]
  14. Apel, K.; Gollmer, I.; Batschauer, A. The light-dependent control of chloroplast development in barley (Hordeum vulgare L). J. Cell. Biochem. 1983, 23, 181–189. [Google Scholar] [CrossRef] [PubMed]
  15. Fradkin, L.I.; Kolyago, V.M.; Nisenbaum, G.D.; Domanskaya, I.N. Disintegration and fractionation of Barley chloroplast membranes at different concentrations of digitonin and chloroplasts. Biokhimiya 1978, 43, 723–733. [Google Scholar]
  16. Nielsen, N.C.; Smillie, R.M.; Henningsen, K.W.; Von Wettstein, D.; French, C.S. Composition and function of thylakoid membranes from grana-rich and grana-deficient chloroplast mutants of barley. Plant Physiol. 1979, 63, 174–182. [Google Scholar] [CrossRef]
  17. Thornber, J.P.; Highkin, H.R. Composition of the photosynthetic apparatus of normal barley leaves and a mutant lacking chlorophyll b. Eur. J. Biochem. 1974, 41, 109–116. [Google Scholar] [CrossRef]
  18. Król, M.; Spangfort, M.D.; Huner, N.P.; Oquist, G.; Gustafsson, P.; Jansson, S. Chlorophyll a/b-binding proteins, pigment conversions, and early light-induced proteins in a chlorophyll b-less barley mutant. Plant Physiol. 1995, 107, 873–883. [Google Scholar] [CrossRef] [Green Version]
  19. Król, M.; Ivanov, A.G.; Jansson, S.; Kloppstech, K.; Huner, N.P.A. Greening under high light or cold temperature affects the level of xanthophyll-cycle pigments, early light-inducible proteins, and light-harvesting polypeptides in wild-type barley and the chlorina f2 mutant. Plant Physiol. 1999, 120, 193–203. [Google Scholar] [CrossRef] [Green Version]
  20. Bossmann, B.; Knoetzel, J.; Jansson, S. Screening of chlorina mutants of barley (Hordeum vulgare L.) with antibodies against light-harvesting proteins of PS I and PS II: Absence of specific antenna proteins. Photosynth. Res. 1997, 52, 127–136. [Google Scholar] [CrossRef]
  21. Goodchild, D.J.; Highkin, H.R.; Boardman, N.K. The fine structure of chloroplasts in a barley mutant lacking chlorophyll B. Exp. Cell Res. 1966, 43, 684–688. [Google Scholar] [CrossRef]
  22. Von Wettstein, D.; Kahn, A.; Nielsen, O.F.; Gough, S. Genetic Regulation of Chlorophyll Synthesis Analyzed with Mutants in Barley. Science 1974, 184, 800–802. [Google Scholar] [CrossRef] [PubMed]
  23. Lee, K.P.; Kim, C.; Lee, D.W.; Apel, K. TIGRINA d, required for regulating the biosynthesis of tetrapyrroles in barley, is an ortholog of the FLU gene of Arabidopsis thaliana. FEBS Lett. 2003, 553, 119–124. [Google Scholar] [CrossRef] [Green Version]
  24. Meskauskiene, R.; Nater, M.; Goslings, D.; Kessler, F.; Op den Camp, R.; Apel, K. FLU: A negative regulator of chlorophyll biosynthesis in Arabidopsis thaliana. Proc. Natl. Acad. Sci. USA 2001, 98, 12826–12831. [Google Scholar] [CrossRef] [Green Version]
  25. Gustafsoon, Å. Drastic morphological mutation in Barley. Hereditas 1946, 32, 120–122. [Google Scholar] [CrossRef]
  26. Rzeznicka, K.; Walker, C.J.; Westergren, T.; Kannangara, C.G.; Von Wettstein, D.; Merchant, S.; Gough, S.P.; Hansson, M. Xantha-I encodes a membrane subunit of the aerobic Mg-protoporphyrin IX monomethyl ester cyclase involved in chlorophyll biosynthesis. Proc. Natl. Acad. Sci. USA 2005, 102, 5886–5891. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Jensen, P.E.; Willows, R.D.; Petersen, B.L.; Vothknecht, U.C.; Stummann, B.M.; Kannangara, C.G.; Von Wettstein, D.; Henningsen, K.W. Structural genes for Mg-chelatase subunits in barley: Xantha-f, -g and -h. Mol. Gen. Genet. 1996, 250, 383–394. [Google Scholar] [CrossRef] [PubMed]
  28. Smith, J.H.C.; French, C.S.; Koski, V.M. The Hill Reaction: Development of Chloroplast Activity During Greening of Etiolated Barley Leaves. Plant Physiol. 1952, 27, 212–213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Robertson, D.; Laetsch, W.M. Structure and Function of Developing Barley Plastids. Plant Physiol. 1974, 54, 148–159. [Google Scholar] [CrossRef] [Green Version]
  30. Hajdukiewicz, P.T.J.; Allison, L.A.; Maliga, P. The two RNA polymerases encoded by the nuclear and the plastid compartments transcribe distinct groups of genes in tobacco plastids. EMBO J. 1997, 16, 4041–4048. [Google Scholar] [CrossRef] [Green Version]
  31. Siemenroth, A.; Wollgiehn, R.; Neumann, D.; Börner, T. Synthesis of ribosomal RNA in ribosome-deficient plastids of the mutant “albostrians” of Hordeum vulgare L. Planta 1981, 153, 547–555. [Google Scholar] [CrossRef]
  32. Hess, W.R.; Prombona, A.; Fieder, B.; Subramanian, A.R.; Börner, T. Chloroplast rps15 and the rpoB/C1/C2 gene cluster are strongly transcribed in ribosome-deficient plastids: Evidence for a functioning non-chloroplast-encoded RNA polymerase. EMBO J. 1993, 12, 563–571. [Google Scholar] [CrossRef] [PubMed]
  33. Hagemann, R.; Börner, T.; Knoth, R. Plastid ribosome deficiency in plastid mutants of Pelargonium and Hordeum. Genetics 1973, 74, 103–104. [Google Scholar]
  34. Börner, T.; Schumann, B.; Hagemann, R. Biochemical studies on a plastid ribosome-deficient mutant of Hordeum vulgare. In Genetics Biogenesis of Chloroplasts Mitochondria; Bücher, T., Neupert, W., Sebald, W., Werner, S., Eds.; Elsevier; North-Hill Medical Press: Amsterdam, The Netherlands, 1976; pp. 41–48. [Google Scholar]
  35. Börner, T. The discovery of plastid-to-nucleus retrograde signaling—a personal perspective. Protoplasma 2017, 254, 1845–1855. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Chilton, M.D.; Drummond, M.H.; Merlo, D.J.; Sciaky, D.; Montoya, A.L.; Gordon, M.P.; Nester, E.W. Stable incorporation of plasmid DNA into higher plant cells: The molecular basis of crown gall tumorigenesis. Cell 1977, 11, 263–271. [Google Scholar] [CrossRef]
  37. Kaul, S.; Koo, H.L.; Jenkins, J.; Rizzo, M.; Rooney, T.; Tallon, L.J.; Feldblyum, T.; Nierman, W.; Benito, M.I.; Lin, X.; et al. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature 2000, 408, 796–815. [Google Scholar] [CrossRef] [Green Version]
  38. Song, W.; Li, C.; Sun, X.; Wang, P.; Zhao, S. Effects of ridge direction on growth and yield of tomato in solar greenhouse with diffuse film. Nongye Gongcheng Xuebao/Trans. Chinese Soc. Agric. Eng. 2017, 33, 242–248. [Google Scholar] [CrossRef]
  39. Kirst, H.; Gabilly, S.T.; Niyogi, K.K.; Lemaux, P.G.; Melis, A. Photosynthetic antenna engineering to improve crop yields. Planta 2017, 245, 1009–1020. [Google Scholar] [CrossRef]
  40. Pogson, B.J.; Ganguly, D.; Albrecht-Borth, V. Insights into chloroplast biogenesis and development. Biochim. Biophys. Acta Bioenerg. 2015, 1847, 1017–1024. [Google Scholar] [CrossRef] [Green Version]
  41. Boffey, S.A.; Selldén, G.; Leech, R.M. Influence of Cell Age on Chlorophyll Formation in Light-grown and Etiolated Wheat Seedlings. Plant Physiol. 1980, 65, 680–684. [Google Scholar] [CrossRef] [Green Version]
  42. Mullet, J.E. Chloroplast Development and Gene Expression. Annu. Rev. Plant Physiol. Plant Mol. Biol. 1988, 39, 475–502. [Google Scholar] [CrossRef]
  43. Pogson, B.J.; Albrecht, V. Genetic dissection of chloroplast biogenesis and development: An overview. Plant Physiol. 2011, 155, 1545–1551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Jarvis, P.; López-Juez, E. Biogenesis and homeostasis of chloroplasts and other plastids. Nat. Rev. Mol. Cell Biol. 2013, 14, 787–802. [Google Scholar] [CrossRef] [PubMed]
  45. Mayer, K.F.X.; Waugh, R.; Langridge, P.; Close, T.J.; Wise, R.P.; Graner, A.; Matsumoto, T.; Sato, K.; Schulman, A.; Ariyadasa, R.; et al. A physical, genetic and functional sequence assembly of the barley genome. Nature 2012, 491, 711–771. [Google Scholar] [CrossRef] [PubMed]
  46. Mascher, M.; Gundlach, H.; Himmelbach, A.; Beier, S.; Twardziok, S.O.; Wicker, T.; Radchuk, V.; Dockter, C.; Hedley, P.E.; Russell, J.; et al. A chromosome conformation capture ordered sequence of the barley genome. Nature 2017, 544, 427–433. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Monat, C.; Padmarasu, S.; Lux, T.; Wicker, T.; Gundlach, H.; Himmelbach, A.; Ens, J.; Li, C.; Muehlbauer, G.J.; Schulman, A.H.; et al. TRITEX: Chromosome-scale sequence assembly of Triticeae genomes with open-source tools. Genome Biol. 2019, 20, 284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Schreiber, M.; Mascher, M.; Wright, J.; Padmarasu, S.; Himmelbach, A.; Heavens, D.; Milne, L.; Clavijo, B.; Stein, N.; Waugh, R. A Genome Assembly of the Barley “Transformation Reference” Cultivar Golden Promise. G3 Genes Genomes Genet. 2020, 10, 1823–1827. [Google Scholar] [CrossRef] [Green Version]
  49. Colmsee, C.; Beier, S.; Himmelbach, A.; Schmutzer, T.; Stein, N.; Scholz, U.; Mascher, M. BARLEX—The barley draft genome explorer. Mol. Plant 2015, 8, 964–966. [Google Scholar] [CrossRef] [Green Version]
  50. Bolser, D.; Staines, D.M.; Pritchard, E.; Kersey, P. Ensembl plants: Integrating tools for visualizing, mining, and analyzing plant genomics data. Methods Mol. Biol. 2016, 1533, 1–31. [Google Scholar] [CrossRef]
  51. Deng, W.; Nickle, D.C.; Learn, G.H.; Maust, B.; Mullins, J.I. ViroBLAST: A stand-alone BLAST web server for flexible queries of multiple databases and user’s datasets. Bioinformatics 2007, 23, 2334–2336. [Google Scholar] [CrossRef]
  52. Tello-Ruiz, M.K.; Naithani, S.; Stein, J.C.; Gupta, P.; Campbell, M.; Olson, A.; Wei, S.; Preece, J.; Geniza, M.J.; Jiao, Y.; et al. Gramene 2018: Unifying comparative genomics and pathway resources for plant research. Nucleic Acids Res. 2018, 46, D1181–D1189. [Google Scholar] [CrossRef] [Green Version]
  53. Spannagl, M.; Nussbaumer, T.; Bader, K.C.; Martis, M.M.; Seidel, M.; Kugler, K.G.; Gundlach, H.; Mayer, K.F.X. PGSB plantsDB: Updates to the database framework for comparative plant genome research. Nucleic Acids Res. 2016, 44, D1141–D1147. [Google Scholar] [CrossRef] [PubMed]
  54. Rapazote-Flores, P.; Bayer, M.; Milne, L.; Mayer, C.D.; Fuller, J.; Guo, W.; Hedley, P.E.; Morris, J.; Halpin, C.; Kam, J.; et al. BaRTv1.0: An improved barley reference transcript dataset to determine accurate changes in the barley transcriptome using RNA-seq. BMC Genom. 2019, 20, 968. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Mascher, M.; Richmond, T.A.; Gerhardt, D.J.; Himmelbach, A.; Clissold, L.; Sampath, D.; Ayling, S.; Steuernagel, B.; Pfeifer, M.; D’Ascenzo, M.; et al. Barley whole exome capture: A tool for genomic research in the genus Hordeum and beyond. Plant J. 2013, 76, 494–505. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Russell, J.; Mascher, M.; Dawson, I.K.; Kyriakidis, S.; Calixto, C.; Freund, F.; Bayer, M.; Milne, I.; Marshall-Griffiths, T.; Heinen, S.; et al. Exome sequencing of geographically diverse barley landraces and wild relatives gives insights into environmental adaptation. Nat. Genet. 2016, 48, 1024–1030. [Google Scholar] [CrossRef] [Green Version]
  57. Bustos-Korts, D.; Dawson, I.K.; Russell, J.; Tondelli, A.; Guerra, D.; Ferrandi, C.; Strozzi, F.; Nicolazzi, E.L.; Molnar-Lang, M.; Ozkan, H.; et al. Exome sequences and multi-environment field trials elucidate the genetic basis of adaptation in barley. Plant J. 2019, 99, 1172–1191. [Google Scholar] [CrossRef] [Green Version]
  58. Hasan, M.; Hasibuzzaman, A.S.M.; Abdullah, H.M.; Kallol, M.M.H. Rediscovery of Genetic and Genomic Resources for Future Food Security. In Genetic and Genomic Resources and their Explotation for Unlocking Genetic Potential from the Wild Relatives; Springer: Singapore, 2020; pp. 193–210. [Google Scholar]
  59. Dempewolf, H.; Baute, G.; Anderson, J.; Kilian, B.; Smith, C.; Guarino, L. Past and future use of wild relatives in crop breeding. Crop Sci. 2017, 57, 1070–1082. [Google Scholar] [CrossRef]
  60. Caldwell, D.G.; McCallum, N.; Shaw, P.; Muehlbauer, G.J.; Marshall, D.F.; Waugh, R. A structured mutant population for forward and reverse genetics in Barley (Hordeum vulgare L.). Plant J. 2004, 40, 143–150. [Google Scholar] [CrossRef]
  61. Talamè, V.; Bovina, R.; Sanguineti, M.C.; Tuberosa, R.; Lundqvist, U.; Salvi, S. TILLMore, a resource for the discovery of chemically induced mutants in barley. Plant Biotechnol. J. 2008, 6, 477–485. [Google Scholar] [CrossRef]
  62. Szurman-Zubrzycka, M.E.; Zbieszczyk, J.; Marzec, M.; Jelonek, J.; Chmielewska, B.; Kurowska, M.M.; Krok, M.; Daszkowska-Golec, A.; Guzy-Wrobelska, J.; Gruszka, D.; et al. HorTILLUS—a rich and renewable source of induced mutations for forward/reverse genetics and pre-breeding programs in barley (Hordeum vulgare L.). Front. Plant Sci. 2018, 9, 216. [Google Scholar] [CrossRef]
  63. Schreiber, M.; Barakate, A.; Uzrek, N.; Macaulay, M.; Sourdille, A.; Morris, J.; Hedley, P.E.; Ramsay, L.; Waugh, R. A highly mutagenised barley (cv. Golden Promise) TILLING population coupled with strategies for screening-by-sequencing. Plant Methods 2019, 15, 99. [Google Scholar] [CrossRef]
  64. Gottwald, S.; Bauer, P.; Komatsuda, T.; Lundqvist, U.; Stein, N. TILLING in the two-rowed barley cultivar “Barke” reveals preferred sites of functional diversity in the gene HvHox1. BMC Res. Notes 2009, 2, 258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Lababidi, S.; Mejlhede, N.; Rasmussen, S.K.; Backes, G.; Al-Said, W.; Baum, M.; Jahoor, A. Identification of barley mutants in the cultivar “lux” at the dhn loci through tilling. Plant Breed. 2009, 128, 332–336. [Google Scholar] [CrossRef]
  66. Kurowska, M.; Labocha-Pawłowska, A.; Gnizda, D.; Maluszynski, M.; Szarejko, I. Molecular analysis of point mutations in a barley genome exposed to MNU and Gamma rays. Mutat. Res. Fundam. Mol. Mech. Mutagen. 2012, 738–739, 52–70. [Google Scholar] [CrossRef] [PubMed]
  67. Druka, A.; Franckowiak, J.; Lundqvist, U.; Bonar, N.; Alexander, J.; Houston, K.; Radovic, S.; Shahinnia, F.; Vendramin, V.; Morgante, M.; et al. Genetic dissection of barley morphology and development. Plant Physiol. 2011, 155, 617–627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Dockter, C.; Gruszka, D.; Braumann, I.; Druka, A.; Druka, I.; Franckowiak, J.; Gough, S.P.; Janeczko, A.; Kurowska, M.; Lundqvist, J.; et al. Induced variations in brassinosteroid genes define barley height and sturdiness, and expand the green revolution genetic toolkit. Plant Physiol. 2014, 166, 1912–1927. [Google Scholar] [CrossRef] [Green Version]
  69. Jost, M.; Taketa, S.; Mascher, M.; Himmelbach, A.; Yuo, T.; Shahinnia, F.; Rutten, T.; Druka, A.; Schmutzer, T.; Steuernagel, B.; et al. A homolog of blade-on-petiole 1 and 2 (BOP1/2) controls internode length and homeotic changes of the barley inflorescence. Plant Physiol. 2016, 171, 1113–1127. [Google Scholar] [CrossRef] [Green Version]
  70. Komatsuda, T.; Pourkheirandish, M.; He, C.; Azhaguvel, P.; Kanamori, K.; Perovic, D.; Stein, N.; Graner, A.; Wicker, T.; Tagiri, A.; et al. Six-rowed barley originated from a mutation in a homeodomain-leucine zipper I-class homeobox gene. Proc. Natl. Acad. Sci. USA 2007, 104, 1424–1429. [Google Scholar] [CrossRef] [Green Version]
  71. Ramsay, L.; Comadran, J.; Druka, A.; Marshall, D.F.; Thomas, W.T.B.; MacAulay, M.; MacKenzie, K.; Simpson, C.; Fuller, J.; Bonar, N.; et al. INTERMEDIUM-C, a modifier of lateral spikelet fertility in barley, is an ortholog of the maize domestication gene TEOSINTE BRANCHED 1. Nat. Genet. 2011, 43, 169–172. [Google Scholar] [CrossRef]
  72. Henikoff, S.; Till, B.J.; Comai, L. TILLING. Traditional mutagenesis meets functional genomics. Plant Physiol. 2004, 135, 630–636. [Google Scholar] [CrossRef] [Green Version]
  73. Waugh, R.; Leader, D.J.; McCallum, N.; Caldwell, D. Harvesting the potential of induced biological diversity. Trends Plant Sci. 2006, 11, 71–79. [Google Scholar] [CrossRef]
  74. Till, B.J.; Reynolds, S.H.; Greene, E.A.; Codomo, C.A.; Enns, L.C.; Johnson, J.E.; Burtler, C.; Odden, A.R.; Young, K.; Taylor, N.E.; et al. Large-scale discovery of induced point mutations with high-throughput TILLING. Genome Res. 2003, 13, 524–530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Henry, I.M.; Nagalakshmi, U.; Lieberman, M.C.; Ngo, K.J.; Krasileva, K.V.; Vasquez-Gross, H.; Akhunova, A.; Akhunov, E.; Dubcovsky, J.; Tai, T.H.; et al. Efficient genome-wide detection and cataloging of EMS-induced mutations using Exome capture and next-generation sequencing. Plant Cell 2014, 26, 1382–1397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Goldstein, C.S.; Kronstad, W.E. Tissue culture and plant regeneration from immature embryo explants of Barley, Hordeum vulgare. Theor. Appl. Genet. 1986, 71, 631–636. [Google Scholar] [CrossRef] [PubMed]
  77. Dahleen, L.S.; Bregitzer, P. An improved media system for high regeneration rates from barley immature embryo-derived callus cultures of commercial cultivars. Crop Sci. 2002, 42, 934–938. [Google Scholar] [CrossRef]
  78. Harwood, W.A. A protocol for high-throughput agrobacterium-mediated barley transformation. Methods Mol. Biol. 2014, 1099, 251–260. [Google Scholar] [CrossRef] [PubMed]
  79. McGrath, P.F.; Vincent, J.R.; Lei, C.H.; Pawlowski, W.P.; Torbert, K.A.; Gu, W.; Kaeppler, H.F.; Wan, Y.; Lemaux, P.G.; Rines, H.R.; et al. Coat protein-mediated resistance to isolates of barley yellow dwarf in oats and barley. Eur. J. Plant Pathol. 1997, 103, 695–710. [Google Scholar] [CrossRef]
  80. Hückelhoven, R. BAX Inhibitor-1, an ancient cell death suppressor in animals and plants with prokaryotic relatives. Apoptosis 2004, 9, 299–307. [Google Scholar] [CrossRef]
  81. Bulgarelli, D.; Biselli, C.; Collins, N.C.; Consonni, G.; Stanca, A.M.; Schulze-Lefert, P.; Valè, G. The CC-NB-LRR-Type RDG2a resistance gene confers immunity to the seed-borne barley leaf stripe pathogen in the absence of hypersensitive cell death. PLoS ONE 2010, 5, e12599. [Google Scholar] [CrossRef] [Green Version]
  82. Eichmann, R.; Bischof, M.; Weis, C.; Shaw, J.; Lacomme, C.; Schweizer, P.; Duchkov, D.; Hensel, G.; Kumlehn, J.; Hückelhoven, R. Bax inhibitor-1 is required for full susceptibility of barley to powdery mildew. Mol. Plant-Microbe Interact. 2010, 23, 1217–1227. [Google Scholar] [CrossRef] [Green Version]
  83. Horvath, H.; Rostoks, N.; Brueggeman, R.; Steffenson, B.; Von Wettstein, D.; Kleinhofs, A. Genetically engineered stem rust resistance in barley using the Rpg1 gene. Proc. Natl. Acad. Sci. USA 2003, 100, 364–369. [Google Scholar] [CrossRef] [Green Version]
  84. Morran, S.; Eini, O.; Pyvovarenko, T.; Parent, B.; Singh, R.; Ismagul, A.; Eliby, S.; Shirley, N.; Langridge, P.; Lopato, S. Improvement of stress tolerance of wheat and barley by modulation of expression of DREB/CBF factors. Plant Biotechnol. J. 2011, 9, 230–249. [Google Scholar] [CrossRef]
  85. Seiler, C.; Harshavardhan, V.T.; Reddy, P.S.; Hensel, G.; Kumlehn, J.; Eschen-Lippold, L.; Rajesh, K.; Korzun, V.; Wobus, U.; Lee, J.; et al. Abscisic acid flux alterations result in differential abscisic acid signaling responses and impact assimilation efficiency in barley under terminal drought stress. Plant Physiol. 2014, 164, 1677–1696. [Google Scholar] [CrossRef] [PubMed]
  86. Soltész, A.; Vágújfalvi, A.; Rizza, F.; Kerepesi, I.; Galiba, G.; Cattivelli, L.; Coraggio, I.; Crosatti, C. The rice Osmyb4 gene enhances tolerance to frost and improves germination under unfavourable conditions in transgenic barley plants. J. Appl. Genet. 2012, 53, 133–143. [Google Scholar] [CrossRef]
  87. Soltész, A.; Smedley, M.; Vashegyi, I.; Galiba, G.; Harwood, W.; Vágújfalvi, A. Transgenic barley lines prove the involvement of TaCBF14 and TaCBF15 in the cold acclimation process and in frost tolerance. J. Exp. Bot. 2013, 64, 1849–1862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  88. Kovalchuk, N.; Jia, W.; Eini, O.; Morran, S.; Pyvovarenko, T.; Fletcher, S.; Bazanova, N.; Harris, J.; Beck-Oldach, K.; Shavrukov, Y.; et al. Optimization of TaDREB3 gene expression in transgenic barley using cold-inducible promoters. Plant Biotechnol. J. 2013, 11, 659–670. [Google Scholar] [CrossRef] [PubMed]
  89. Murray, F.; Matthews, P.; Jacobsen, J.; Gubler, F. Increased expression of HvGAMYB in transgenic barley increases hydrolytic enzyme production by aleurone cells in response to gibberellin. J. Cereal Sci. 2006, 44, 317–322. [Google Scholar] [CrossRef]
  90. Kihara, M.; Okada, Y.; Kuroda, H.; Saeki, K.; Yoshigi, N.; Ito, K. Improvement of β-amylase thermostability in transgenic barley seeds and transgene stability in progeny. Mol. Breed. 2000, 6, 511–517. [Google Scholar] [CrossRef]
  91. Tull, D.; Phillipson, B.A.; Kramhøft, B.; Knudsen, S.; Olsen, O.; Svensson, B. Enhanced amylolytic activity in germinating barley through synthesis of a bacterial Alpha-amylase. J. Cereal Sci. 2003, 37, 71–80. [Google Scholar] [CrossRef]
  92. Jensen, L.G.; Olsen, O.; Kops, O.; Wolf, N.; Thomsen, K.K.; Von Wettstein, D. Transgenic barley expressing a protein-engineered, thermostable (1,3-1,4)-β-glucanase during germination. Proc. Natl. Acad. Sci. USA 1996, 93, 3487–3491. [Google Scholar] [CrossRef] [Green Version]
  93. Nuutila, A.M.; Ritala, A.; Skadsen, R.W.; Mannonen, L.; Kauppinen, V. Expression of fungal thermotolerant endo-1,4-β-glucanase in transgenic barley seeds during germination. Plant Mol. Biol. 1999, 41, 777–783. [Google Scholar] [CrossRef]
  94. Koprek, T.; McElroy, D.; Louwerse, J.; Williams-Carrier, R.; Lemaux, P.G. An efficient method for dispersing Ds elements in the barley genome as a tool for determining gene function. Plant J. 2000, 24, 253–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Ayliffe, M.A.; Pallotta, M.; Langridge, P.; Pryor, A.J. A barley activation tagging system. Plant Mol. Biol. 2007, 64, 329–347. [Google Scholar] [CrossRef] [PubMed]
  96. Lazarow, K.; Lütticke, S. An Ac/Ds-mediated gene trap system for functional genomics in barley. BMC Genom. 2009, 10, 55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Ryder, P.; McHale, M.; Fort, A.; Spillane, C. Generation of stable nulliplex autopolyploid lines of Arabidopsis thaliana using CRISPR/Cas9 genome editing. Plant Cell Rep. 2017, 36, 1005–1008. [Google Scholar] [CrossRef] [PubMed]
  98. Jinek, M.; Chylinski, K.; Fonfara, I.; Hauer, M.; Doudna, J.A.; Charpentier, E. A Programmable Dual-RNA – Guided DNA Endonuclease S figs. Science 2012, 337, 816–821. [Google Scholar] [CrossRef]
  99. Lawrenson, T.; Shorinola, O.; Stacey, N.; Li, C.; Østergaard, L.; Patron, N.; Uauy, C.; Harwood, W. Induction of targeted, heritable mutations in barley and Brassica oleracea using RNA-guided Cas9 nuclease. Genome Biol. 2015, 16, 258. [Google Scholar] [CrossRef] [Green Version]
  100. Holme, I.B.; Wendt, T.; Gil-Humanes, J.; Deleuran, L.C.; Starker, C.G.; Voytas, D.F.; Brinch-Pedersen, H. Evaluation of the mature grain phytase candidate HvPAPhy_a gene in barley (Hordeum vulgare L.) using CRISPR/Cas9 and TALENs. Plant Mol. Biol. 2017, 95, 111–121. [Google Scholar] [CrossRef]
  101. Gasparis, S.; Kała, M.; Przyborowski, M.; Łyżnik, L.A.; Orczyk, W.; Nadolska-Orczyk, A. A simple and efficient CRISPR/Cas9 platform for induction of single and multiple, heritable mutations in barley (Hordeum vulgare L.). Plant Methods 2018, 14, 111. [Google Scholar] [CrossRef] [Green Version]
  102. Kumar, N.; Galli, M.; Ordon, J.; Stuttmann, J.; Kogel, K.H.; Imani, J. Further analysis of barley MORC1 using a highly efficient RNA-guided Cas9 gene-editing system. Plant Biotechnol. J. 2018, 16, 1892–1903. [Google Scholar] [CrossRef] [Green Version]
  103. Gasparis, S.; Przyborowski, M.; Kała, M.; Nadolska-Orczyk, A. Knockout of the HvCKX1 or HvCKX3 Gene in Barley (Hordeum vulgare L.) by RNA-Guided Cas9 Nuclease Affects the Regulation of Cytokinin Metabolism and Root Morphology. Cells 2019, 8, 782. [Google Scholar] [CrossRef] [Green Version]
  104. Yang, Q.; Zhong, X.; Li, Q.; Lan, J.; Tang, H.; Qi, P.; Ma, J.; Wang, J.; Chen, G.; Pu, Z.; et al. Mutation of the D-hordein gene by RNA-guided Cas9 targeted editing reducing the grain size and changing grain compositions in barley. Food Chem. 2020, 311, 125892. [Google Scholar] [CrossRef] [PubMed]
  105. Saski, C.; Tomkins, J.; Lee, S.-B.; Daniell, H.; Fjellheim, S.; Rognli, O.A.; Guda, C.; Jansen, R.K.; Luo, H.; Clarke, J.L. Complete chloroplast genome sequences of Hordeum vulgare, Sorghum bicolor and Agrostis stolonifera, and comparative analyses with other grass genomes. Theor. Appl. Genet. 2007, 115, 571–590. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Petersen, J.; Rogowska-Wrzesinska, A.; Jensen, O.N. Functional proteomics of barley and barley chloroplasts-strategies, methods and perspectives. Front. Plant Sci. 2013, 4, 52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Pogson, B.J.; Woo, N.S.; Förster, B.; Small, I.D. Plastid signalling to the nucleus and beyond. Trends Plant Sci. 2008, 3, 602–609. [Google Scholar] [CrossRef]
  108. Wagner, D.; Przybyla, D.; Op Den Camp, R.; Kim, C.; Landgraf, F.; Keun, P.L.; Würsch, M.; Laloi, C.; Nater, M.; Hideg, E.; et al. The genetic basis of singlet oxygen-induced stress response of Arabidopsis thaliana. Science 2004, 306, 1183–1185. [Google Scholar] [CrossRef]
  109. Maruta, T.; Noshi, M.; Tanouchi, A.; Tamoi, M.; Yabuta, Y.; Yoshimura, K.; Ishikawa, T.; Shigeoka, S. H2O2-triggered retrograde signaling from chloroplasts to nucleus plays specific role in response to stress. J. Biol. Chem. 2012, 287, 11717–11729. [Google Scholar] [CrossRef] [Green Version]
  110. Pfalz, J.; Liebers, M.; Hirth, M.; Grübler, B.; Holtzegel, U.; Schröter, Y.; Dietzel, L.; Pfannschmidt, T. Environmental control of plant nuclear gene expression by chloroplast redox signals. Front. Plant Sci. 2012, 3, 257. [Google Scholar] [CrossRef] [Green Version]
  111. Estavillo, G.M.; Crisp, P.A.; Pornsiriwong, W.; Wirtz, M.; Collinge, D.; Carrie, C.; Giraud, E.; Whelan, J.; David, P.; Javot, H.; et al. Evidence for a SAL1-PAP chloroplast retrograde pathway that functions in drought and high light signaling in Arabidopsis. Plant Cell 2011, 23, 3992–4012. [Google Scholar] [CrossRef] [Green Version]
  112. Xiao, Y.; Savchenko, T.; Baidoo, E.E.K.; Chehab, W.E.; Hayden, D.M.; Tolstikov, V.; Corwin, J.A.; Kliebenstein, D.J.; Keasling, J.D.; Dehesh, K. Retrograde signaling by the plastidial metabolite MEcPP regulates expression of nuclear stress-response genes. Cell 2012, 149, 1525–1535. [Google Scholar] [CrossRef] [Green Version]
  113. Ramel, F.; Birtic, S.; Ginies, C.; Soubigou-Taconnat, L.; Triantaphylidès, C.; Havaux, M. Carotenoid oxidation products are stress signals that mediate gene responses to singlet oxygen in plants. Proc. Natl. Acad. Sci. USA 2012, 109, 5535–5540. [Google Scholar] [CrossRef] [Green Version]
  114. D’Alessandro, S.; Havaux, M. Sensing β-carotene oxidation in photosystem II to master plant stress tolerance. New Phytol. 2019, 223, 1776–1783. [Google Scholar] [CrossRef] [PubMed]
  115. Chi, W.; Feng, P.; Ma, J.; Zhang, L. Metabolites and chloroplast retrograde signaling. Curr. Opin. Plant Biol. 2015, 25, 32–38. [Google Scholar] [CrossRef] [PubMed]
  116. Tian, L. Recent advances in understanding carotenoid-derived signaling molecules in regulating plant growth and development. Front. Plant Sci. 2015, 6, 790. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Chan, K.X.; Phua, S.Y.; Crisp, P.; McQuinn, R.; Pogson, B.J. Learning the Languages of the Chloroplast: Retrograde Signaling and Beyond. Annu. Rev. Plant Biol. 2016, 67, 25–53. [Google Scholar] [CrossRef] [PubMed]
  118. Kleine, T.; Leister, D. Retrograde signaling: Organelles go networking. Biochim. Biophys. Acta Bioenerg. 2016, 1857, 1313–1325. [Google Scholar] [CrossRef] [PubMed]
  119. de Souza, A.; Wang, J.-Z.; Dehesh, K. Retrograde Signals: Integrators of Interorganellar Communication and Orchestrators of Plant Development. Annu. Rev. Plant Biol. 2017, 68, 85–108. [Google Scholar] [CrossRef]
  120. Susek, R.E.; Ausubel, F.M.; Chory, J. Signal transduction mutants of arabidopsis uncouple nuclear CAB and RBCS gene expression from chloroplast development. Cell 1993, 74, 787–799. [Google Scholar] [CrossRef] [Green Version]
  121. Larkin, R.M.; Stefano, G.; Ruckle, M.E.; Stavoe, A.K.; Sinkler, C.A.; Brandizzi, F.; Malmstrom, C.M.; Osteryoung, K.W.; Chory, J. REDUCED CHLOROPLAST COVERAGE genes from Arabidopsis thaliana help to establish the size of the chloroplast compartment. Proc. Natl. Acad. Sci. USA 2016, 113, E1116–E1125. [Google Scholar] [CrossRef] [Green Version]
  122. Koussevitzky, S.; Nott, A.; Mockler, T.C.; Hong, F.; Sachetto-Martins, G.; Surpin, M.; Lim, J.; Mittler, R.; Chory, J. Signals from Chloroplasts Converge to Regulate Nuclear Gene Expression. Science 2007, 316, 715–719. [Google Scholar] [CrossRef]
  123. Tadini, L.; Pesaresi, P.; Kleine, T.; Rossi, F.; Guljamow, A.; Sommer, F.; Mühlhaus, T.; Schroda, M.; Masiero, S.; Pribil, M.; et al. Gun1 controls accumulation of the plastid ribosomal protein S1 at the protein level and interacts with proteins involved in plastid protein homeostasis. Plant Physiol. 2016, 170, 1817–1830. [Google Scholar] [CrossRef] [Green Version]
  124. Tadini, L.; Peracchio, C.; Trotta, A.; Colombo, M.; Mancini, I.; Jeran, N.; Costa, A.; Faoro, F.; Marsoni, M.; Vannini, C.; et al. GUN1 influences the accumulation of NEP-dependent transcripts and chloroplast protein import in Arabidopsis cotyledons upon perturbation of chloroplast protein homeostasis. Plant J. 2020, 101, 1198–1220. [Google Scholar] [CrossRef]
  125. Wu, G.Z.; Meyer, E.H.; Richter, A.S.; Schuster, M.; Ling, Q.; Schöttler, M.A.; Walther, D.; Zoschke, R.; Grimm, B.; Jarvis, R.P.; et al. Control of retrograde signalling by protein import and cytosolic folding stress. Nat. Plants 2019, 5, 525–538. [Google Scholar] [CrossRef] [PubMed]
  126. Börner, T.; Meister, A. Chlorophyll and carotenoid content of ribosome-deficient plastids. Photosynthetica 1980, 14, 589–593. [Google Scholar]
  127. Yaronskaya, E.; Ziemann, V.; Walter, G.; Averina, N.; Börner, T.; Grimm, B. Metabolic control of the tetrapyrrole biosynthetic pathway for porphyrin distribution in the barley mutant albostrians. Plant J. 2003, 35, 512–522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  128. Feierabend, J.; Mikus, M. Occurrence of a High Temperature Sensitivity of Chloroplast Ribosome Formation in Several Higher Plants. Plant Physiol. 1977, 59, 863–867. [Google Scholar] [CrossRef]
  129. Woodson, J.D.; Perez-Ruiz, J.M.; Chory, J. Heme synthesis by plastid ferrochelatase i regulates nuclear gene expression in plants. Curr. Biol. 2011, 21, 897–903. [Google Scholar] [CrossRef] [Green Version]
  130. Li, M.; Hensel, G.; Mascher, M.; Melzer, M.; Budhagatapalli, N.; Rutten, T.; Himmelbach, A.; Beier, S.; Korzun, V.; Kumlehn, J.; et al. Leaf variegation and impaired chloroplast development caused by a truncated CCT domain gene in albostrians barley. Plant Cell 2019, 31, 1430–1445. [Google Scholar] [CrossRef] [Green Version]
  131. Kim, S.; Dale, B.E. Global potential bioethanol production from wasted crops and crop residues. Biomass Bioenergy 2004, 26, 361–375. [Google Scholar] [CrossRef]
  132. Gu, J.; Zhou, Z.; Li, Z.; Chen, Y.; Wang, Z.; Zhang, H.; Yang, J. Photosynthetic properties and potentials for improvement of photosynthesis in pale green leaf rice under high light conditions. Front. Plant Sci. 2017, 8, 1082. [Google Scholar] [CrossRef] [Green Version]
  133. Chida, H.; Nakazawa, A.; Akazaki, H.; Hirano, T.; Suruga, K.; Ogawa, M.; Satoh, T.; Kadokura, K.; Yamada, S.; Hakamata, W.; et al. Expression of the algal cytochrome c6 gene in Arabidopsis enhances photosynthesis and growth. Plant Cell Physiol. 2007, 48, 948–957. [Google Scholar] [CrossRef]
  134. Yadav, S.K.; Khatri, K.; Rathore, M.S.; Jha, B. Introgression of UfCyt c 6, a thylakoid lumen protein from a green seaweed Ulva fasciata Delile enhanced photosynthesis and growth in tobacco. Mol. Biol. Rep. 2018, 45, 1745–1758. [Google Scholar] [CrossRef] [PubMed]
  135. Pesaresi, P.; Hertle, A.; Pribil, M.; Kleine, T.; Wagner, R.; Strissel, H.; Lhnatowicz, A.; Bonardi, V.; Scharfenberg, M.; Schneider, A.; et al. Arabidopsis STN7 kinase provides a link between short- and long-term photosynthetic acclimation. Plant Cell 2009, 21, 2402–2423. [Google Scholar] [CrossRef] [Green Version]
  136. Simkin, A.J.; McAusland, L.; Lawson, T.; Raines, C.A. Overexpression of the rieskeFeS protein increases electron transport rates and biomass yield. Plant Physiol. 2017, 175, 134–145. [Google Scholar] [CrossRef] [Green Version]
  137. Kromdijk, J.; Głowacka, K.; Leonelli, L.; Gabilly, S.T.; Iwai, M.; Niyogi, K.K.; Long, S.P. Improving photosynthesis and crop productivity by accelerating recovery from photoprotection. Science 2016, 354, 857–861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  138. Simkin, A.J.; McAusland, L.; Headland, L.R.; Lawson, T.; Raines, C.A. Multigene manipulation of photosynthetic carbon assimilation increases CO2 fixation and biomass yield in tobacco. J. Exp. Bot. 2015, 66, 4075–4090. [Google Scholar] [CrossRef] [PubMed]
  139. Simkin, A.J.; Lopez-Calcagno, P.E.; Davey, P.A.; Headland, L.R.; Lawson, T.; Timm, S.; Bauwe, H.; Raines, C.A. Simultaneous stimulation of sedoheptulose 1,7-bisphosphatase, fructose 1,6-bisphophate aldolase and the photorespiratory glycine decarboxylase-H protein increases CO2 assimilation, vegetative biomass and seed yield in Arabidopsis. Plant Biotechnol. J. 2017, 15, 805–816. [Google Scholar] [CrossRef] [Green Version]
  140. Lefebvre, S.; Lawson, T.; Zakhleniuk, O.V.; Lloyd, J.C.; Raines, C.A. Increased sedoheptulose-1,7-bisphosphatase activity in transgenic tobacco plants stimulates photosynthesis and growth from an early stage in development. Plant Physiol. 2005, 138, 451–460. [Google Scholar] [CrossRef] [Green Version]
  141. Ding, F.; Wang, M.; Zhang, S.; Ai, X. Changes in SBPase activity influence photosynthetic capacity, growth, and tolerance to chilling stress in transgenic tomato plants. Sci. Rep. 2016, 6, 32741. [Google Scholar] [CrossRef] [PubMed]
  142. Uematsu, K.; Suzuki, N.; Iwamae, T.; Inui, M.; Yukawa, H. Increased fructose 1,6-bisphosphate aldolase in plastids enhances growth and photosynthesis of tobacco plants. J. Exp. Bot. 2012, 63, 3001–3009. [Google Scholar] [CrossRef]
  143. Yamori, W.; Masumoto, C.; Fukayama, H.; Makino, A. Rubisco activase is a key regulator of non-steady-state photosynthesis at any leaf temperature and, to a lesser extent, of steady-state photosynthesis at high temperature. Plant J. 2012, 71, 871–880. [Google Scholar] [CrossRef]
  144. Sanz-Barrio, R.; Corral-Martinez, P.; Ancin, M.; Segui-Simarro, J.M.; Farran, I. Overexpression of plastidial thioredoxin f leads to enhanced starch accumulation in tobacco leaves. Plant Biotechnol. J. 2013, 11, 618–627. [Google Scholar] [CrossRef] [Green Version]
  145. Farran, I.; Fernandez-San Millan, A.; Ancin, M.; Larraya, L.; Veramendi, J. Increased bioethanol production from commercial tobacco cultivars overexpressing thioredoxin f grown under field conditions. Mol. Breed. 2014, 34, 457–469. [Google Scholar] [CrossRef] [Green Version]
  146. Toivola, J.; Nikkanen, L.; Dahlström, K.M.; Salminen, T.A.; Lepistö, A.; Vignols, F.; Rintamäki, E. Overexpression of chloroplast NADPH-dependent thioredoxin reductase in Arabidopsis enhances leaf growth and elucidates in vivo function of reductase and thioredoxin domains. Front. Plant Sci. 2013, 4, 389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  147. Nikkanen, L.; Toivola, J.; Rintamäki, E. Crosstalk between chloroplast thioredoxin systems in regulation of photosynthesis. Plant Cell Environ. 2016, 39, 1691–1705. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  148. Timm, S.; Florian, A.; Arrivault, S.; Stitt, M.; Fernie, A.R.; Bauwe, H. Glycine decarboxylase controls photosynthesis and plant growth. FEBS Lett. 2012, 586, 3692–3697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Timm, S.; Wittmiß, M.; Gamlien, S.; Ewald, R.; Florian, A.; Frank, M.; Wirtz, M.; Hell, R.; Fernie, A.R.; Bauwe, H. Mitochondrial dihydrolipoyl dehydrogenase activity shapes photosynthesis and photorespiration of Arabidopsis Thaliana. Plant Cell 2015, 27, 1968–1984. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  150. López-Calcagno, P.E.; Fisk, S.; Brown, K.L.; Bull, S.E.; South, P.F.; Raines, C.A. Overexpressing the H-protein of the glycine cleavage system increases biomass yield in glasshouse and field-grown transgenic tobacco plants. Plant Biotechnol. J. 2019, 7, 141–151. [Google Scholar] [CrossRef]
  151. Kebeish, R.; Niessen, M.; Thiruveedhi, K.; Bari, R.; Hirsch, H.J.; Rosenkranz, R.; Stäbler, N.; Schönfeld, B.; Kreuzaler, F.; Peterhänsel, C. Chloroplastic photorespiratory bypass increases photosynthesis and biomass production in Arabidopsis thaliana. Nat. Biotechnol. 2007, 25, 593–599. [Google Scholar] [CrossRef]
  152. South, P.F.; Cavanagh, A.P.; Liu, H.W.; Ort, D.R. Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field. Science 2019, 367, 45. [Google Scholar] [CrossRef] [Green Version]
  153. Jansson, C.; Wullschleger, S.D.; Kalluri, U.C.; Tuskan, G.A. Phytosequestration: Carbon Biosequestration by Plants and the Prospects of Genetic Engineering. Bioscience 2010, 60, 685–696. [Google Scholar] [CrossRef] [Green Version]
  154. Zhu, X.-G.; Long, S.P.; Ort, D.R. Improving Photosynthetic Efficiency for Greater Yield. Annu. Rev. Plant Biol. 2010, 61, 235–261. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Blankenship, R.E.; Chen, M. Spectral expansion and antenna reduction can enhance photosynthesis for energy production. Curr. Opin. Chem. Biol. 2013, 17, 457–461. [Google Scholar] [CrossRef]
  156. Nakajima, Y.; Ueda, R. Improvement of photosynthesis in dense microalgal suspension by reduction of light harvesting pigments. J. Appl. Phycol. 1997, 9, 503–510. [Google Scholar] [CrossRef]
  157. Beckmann, J.; Lehr, F.; Finazzi, G.; Hankamer, B.; Posten, C.; Wobbe, L.; Kruse, O. Improvement of light to biomass conversion by de-regulation of light-harvesting protein translation in Chlamydomonas reinhardtii. J. Biotechnol. 2009, 142, 70–77. [Google Scholar] [CrossRef] [PubMed]
  158. Perrine, Z.; Negi, S.; Sayre, R.T. Optimization of photosynthetic light energy utilization by microalgae. Algal Res. 2012, 1, 134–142. [Google Scholar] [CrossRef] [Green Version]
  159. Demmig-Adams, B.; Adams, W.W. Chlorophyll and carotenoid composition in leaves of Euonymus kiautschovicus acclimated to different degrees of light stress in the field. Aust. J. Plant Physiol. 1996, 23, 649–659. [Google Scholar] [CrossRef]
  160. Li, X.P.; Müller-Moulé, P.; Gilmore, A.M.; Niyogi, K.K. PsbS-dependent enhancement of feedback de-excitation protects photosystem II from photoinhibition. Proc. Natl. Acad. Sci. USA 2002, 99, 15222–15227. [Google Scholar] [CrossRef] [Green Version]
  161. Pérez-Bueno, M.L.; Johnson, M.P.; Zia, A.; Ruban, A.V.; Horton, P. The Lhcb protein and xanthophyll composition of the light harvesting antenna controls the ΔpH-dependency of non-photochemical quenching in Arabidopsis thaliana. FEBS Lett. 2008, 582, 1477–1482. [Google Scholar] [CrossRef] [Green Version]
  162. Driever, S.M.; Simkin, A.J.; Alotaibi, S.; Fisk, S.J.; Madgwick, P.J.; Sparks, C.A.; Jones, H.D.; Lawson, T.; Parry, M.A.J.; Raines, C.A. Increased sbpase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions. Philos. Trans. R. Soc. B Biol. Sci. 2017, 372, 20160384. [Google Scholar] [CrossRef] [Green Version]
  163. Kim, M.R.; Khaleda, L.; Jung, I.J.; Kim, J.Y.; Lee, S.Y.; Cha, J.Y.; Kim, W.Y. Overexpression of chloroplast-localized NADPH-dependent thioredoxin reductase C (NTRC) enhances tolerance to photo-oxidative and drought stresses in Arabidopsis thaliana. J. Plant Biol. 2017, 60, 175–180. [Google Scholar] [CrossRef]
  164. Kisaki, T.; Tolbert, N.E. Glycine as a substrate for photorespiration. Plant Cell Physiol. 1970, 11, 247–258. [Google Scholar] [CrossRef]
  165. Kisaki, T.; Imai, A.; Tolbert, N.E. Intracellular localization of enzymes related to photorespiration in green leaves. Plant Cell Physiol. 1971, 12, 267–273. [Google Scholar] [CrossRef]
  166. Eisenhut, M.; Ruth, W.; Haimovich, M.; Bauwe, H.; Kaplan, A.; Hagemann, M. The photorespiratory glycolate metabolism is essential for cyanobacteria and might have been conveyed endosymbiontically to plants. Proc. Natl. Acad. Sci. USA 2008, 105, 17199–17204. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Kikuchi, G.; Motokawa, Y.; Yoshida, T.; Hiraga, K. Glycine cleavage system: Reaction mechanism, physiological significance, and hyperglycinemia. Proc. Japan Acad. Ser. B Phys. Biol. Sci. 2008, 84, 246–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Zelitch, I.; Schultes, N.P.; Peterson, R.B.; Brown, P.; Brutnell, T.P. High glycolate oxidase activity is required for survival of maize in normal air. Plant Physiol. 2009, 149, 195–204. [Google Scholar] [CrossRef] [Green Version]
  169. Hackenberg, C.; Kern, R.; Hüge, J.; Stal, L.J.; Tsuji, Y.; Kopka, J.; Shiraiwa, Y.; Bauwe, H.; Hagemann, M. Cyanobacterial lactate oxidases serve as essential partners in N2 fixation and evolved into photorespiratory glycolate oxidases in plants. Plant Cell 2011, 23, 2978–2990. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Overview of the genetic characteristics and genomics tools available for barley. These features, together with its canopy architecture and developmental properties, make barley an optimal model for chloroplast research.
Figure 1. Overview of the genetic characteristics and genomics tools available for barley. These features, together with its canopy architecture and developmental properties, make barley an optimal model for chloroplast research.
Plants 09 00803 g001
Figure 2. Biotechnological strategies that have been shown to enhance photosynthetic efficiency in model species. All of them can be applied to barley using the available genetic tools, and can potentially be improved by exploiting the genetic diversity of barley.
Figure 2. Biotechnological strategies that have been shown to enhance photosynthetic efficiency in model species. All of them can be applied to barley using the available genetic tools, and can potentially be improved by exploiting the genetic diversity of barley.
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Table 1. List of databases, genome browsers and bioinformatics tools available for barley genome analyses.
Table 1. List of databases, genome browsers and bioinformatics tools available for barley genome analyses.
ToolDescription/ApplicationURLReference
BARLEXThe Barley Genome Explorer permits visual inspection of BAC overlaps, and comparisons of BACs and provides useful information on genes and markershttp://barlex.barleysequence.org[49]
EnsemblPlantsA genome browser that incorporates genomic data from diverse organisms, including numerous plant species. It enables users to compare genome-scale datasets with the aid of a single collection of interfaceshttp://plants.ensembl.org[50]
IPK Barley BLAST ServerBarley BLAST server for genome-scale homology-based searcheshttp://webblast.ipk-gatersleben.de/barley[51]
Golden Promise GenomeGMAP and BLAST server for barley (cv. Golden Promise) genome comparisons, including mapping of transcriptshttps://ics.hutton.ac.uk/gmapper/[48]
GrameneIntegrated data resource for comparative functional genomics in crops and model plant specieshttp://www.gramene.org[52]
PlantsDBProvides data and information resources for individual plant species and a platform for integrative and comparative plant genome research.http://pgsb.helmholtz-muenchen.de/plant/[53]
BaRTv1.0Barley Reference Transcript Dataset provides access to 177,240 barley-expressed transcripts covering 60,444 geneshttps://ics.hutton.ac.uk/barleyrtd/[54]
Table 2. List of representative collections of natural variants of barley available at different institutions worldwide, together with online platforms that provide information about barley genetic resources.
Table 2. List of representative collections of natural variants of barley available at different institutions worldwide, together with online platforms that provide information about barley genetic resources.
Collections of natural genetic diversity
Gene BankCountryURL
PGRC
Plant Gene Resources of Canada, Saskatoon Research Centre, Agriculture and Agri-Food Canada)
Canadahttps://pgrc.agr.gc.ca/index_e.html
NSGC
The National Small Grains Collection is part of the National Plant Germplasm System (NPGS) of the United States Department of Agriculture - Agricultural Research Service (USDA-ARS)
USAhttps://www.ars.usda.gov/pacific-west-area/aberdeen-id/small-grains-and-potato-germplasm-research/docs/barley-wheat-genetic-stocks-collections-1/
ICARDA
International Centre for Agricultural Research in the Dry Areas
Globalhttps://grs.icarda.org/
IPK
Leibniz Institute of Plant Genetics and Crop Plant Research
Germanyhttp://gbis.ipk-gatersleben.de
WHEALBI
WHEAt and barley Legacy for Breeding Improvement
Francehttp://wheat-urgi.versailles.inra.fr/Projects/Achieved-projects/Whealbi
NORDGEN
Nordic Genetic Resources Centre
Swedenhttps://www.nordgen.org/bgs/
GRU
Germplasm Resource Unit, John Innes Centre
UKhttps://www.seedstor.ac.uk/
NARO
NIAS, National Institute of Agrobiological Sciences
Japanhttps://www.gene.affrc.go.jp/databases_en.php
Online platforms for barley germplasm searches
NameDescriptionURL
GENESISAn online platform containing information about plant genetic resources for food and agriculture, conserved in gene banks worldwidehttps://www.genesys-pgr.org/
SINGER (The system-wide Information Network for Genetic Resources)An online catalogue of crop collections together with their locations https://www.gbif.org/dataset/85818aea-f762-11e1-a439-00145eb45e9a
EURISCO (The European Search Catalogue for Plant Genetic Resources)Information on more than 2 million crop plant accessions and their wild relatives, preserved ex situ by almost 400 institutes in Europe and beyondhttps://www.ecpgr.cgiar.org/resources/germplasm-databases/eurisco-catalogue/
Table 3. List of representative barley mutant populations obtained by either chemical or physical mutagenesis in different genetic backgrounds, i.e., cultivars.
Table 3. List of representative barley mutant populations obtained by either chemical or physical mutagenesis in different genetic backgrounds, i.e., cultivars.
Induced Mutant Populations
CultivarMutagenReference
OpticEMS[60]
BarkeEMS[64]
MorexNaN3[61]
LuxNaN3[65]
DH-930-36MNU[66]
DH-930-36Gamma rays[66]
SebastianNaN3+MNU[62]
Golden PromiseEMS[63]
Table 4. Brief summary of biotechnological strategies that are being employed for photosynthesis improvement in barley.
Table 4. Brief summary of biotechnological strategies that are being employed for photosynthesis improvement in barley.
TargetEfficiency GainStrategyOutcomeReferences
Retrograde signalling
1. Investigating the existence of a GUN1-dependent retrograde signalling pathway in barleyNot expectedKnock-out of the HORVU.MOREX.r2.5HG0366860.1 gene through gene editingMolecular details of the retrograde signalling pathway involved in chloroplast biogenesis with possible repercussions for the control of leaf life-cycle[122]
Light phase of photosynthesis
1. Optimisation of the antenna size20–50%Reduction of photosystem antenna size obtained by either reducing chlorophyll production or decreasing levels of the photosystem antenna proteins by gene editing or introgression of induced mutations. Identification of allelic variants by allele mining and TILLING.More uniform photosynthetic performance throughout the crop canopy and prevention of photo-oxidative damage in the upper layers of the canopy. Increases in land–surface reflectivity to offset greenhouse gas warming.[39,132]
2. Increased photosynthetic electron transport30–70%Increased accumulation of electron carriers, such as cytochrome c6, plastocyanin and Rieske proteins, by transgenic approaches. Identification of allelic variants by allele mining and TILLING.Increased electron transport rate through the thylakoid membranes[133,134,135,136]
3. Fine-Tuning of NPQ30% Increased accumulation of VDE, ZEP and PsbS by transgenic approaches. Identification of allelic variants by allele mining and TILLING. More rapid induction and relaxation of heat dissipation at PSII.[137]
Dark phase of photosynthesis
1. Increasing the abundance of different enzymes of the Calvin–Benson cycle>30%Increased accumulation of SBPase and FBPA enzymes by transgenic approaches. Identification of allelic variants by allele mining and TILLING.Optimization of ribulose 1,5-bisphosphate (RuBP) regeneration.[138,139,140,141,142]
2. Increasing the efficiency of light activation of Calvin–Benson enzymes>20%Increased accumulation of Rubisco activase, TRX f and NTRC by transgenic approaches.
Identification of allelic variants by allele mining and TILLING.
More efficient light-dependent activation of Calvin–Benson enzyme optimises CO2 fixation.[143,144,145,146,147]
Photorespiration
1. Increasing the photorespiration flow of intermediates>15%Increased accumulation of H- and L-proteins by transgenic approaches.Reduced accumulation of photorespiration intermediates and increased CO2 assimilation rate[148,149,150]
2. Synthetic bypasses to photorespiration>20%Introduction of natural and synthetic glycolate catabolic pathways in the chloroplastIncreased CO2 assimilation rates[151,152]

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Rotasperti, L.; Sansoni, F.; Mizzotti, C.; Tadini, L.; Pesaresi, P. Barley’s Second Spring as a Model Organism for Chloroplast Research. Plants 2020, 9, 803. https://doi.org/10.3390/plants9070803

AMA Style

Rotasperti L, Sansoni F, Mizzotti C, Tadini L, Pesaresi P. Barley’s Second Spring as a Model Organism for Chloroplast Research. Plants. 2020; 9(7):803. https://doi.org/10.3390/plants9070803

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Rotasperti, Lisa, Francesca Sansoni, Chiara Mizzotti, Luca Tadini, and Paolo Pesaresi. 2020. "Barley’s Second Spring as a Model Organism for Chloroplast Research" Plants 9, no. 7: 803. https://doi.org/10.3390/plants9070803

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