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Article

Disruption of LLM9428/OsCATC Represses Starch Metabolism and Confers Enhanced Blast Resistance in Rice

by
Yongxiang Liao
†,
Asif Ali
†,
Zhenzhen Xue
,
Xia Zhou
,
Wenwei Ye
,
Daiming Guo
,
Yingxiu Liao
,
Pengfei Jiang
,
Tingkai Wu
,
Hongyu Zhang
,
Peizhou Xu
,
Xiaoqiong Chen
,
Hao Zhou
,
Yutong Liu
,
Wenming Wang
* and
Xianjun Wu
*
State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2022, 23(7), 3827; https://doi.org/10.3390/ijms23073827
Submission received: 24 February 2022 / Revised: 21 March 2022 / Accepted: 29 March 2022 / Published: 30 March 2022
(This article belongs to the Special Issue Molecular Research in Rice: Genetics and Breeding)
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Abstract

:
Catalases (CATs) are important self-originating enzymes and are involved in many of the biological functions of plants. Multiple forms of CATs suggest their versatile role in lesion mimic mutants (LMMs), H2O2 homeostasis and abiotic and biotic stress tolerance. In the current study, we identified a large lesion mimic mutant9428 (llm9428) from Ethyl-methane-sulfonate (EMS) mutagenized population. The llm9428 showed a typical phenotype of LMMs including decreased agronomic yield traits. The histochemical assays showed decreased cell viability and increased reactive oxygen species (ROS) in the leaves of llm9428 compared to its wild type (WT). The llm9428 showed enhanced blast disease resistance and increased relative expression of pathogenesis-related (PR) genes. Studies of the sub-cellular structure of the leaf and quantification of starch contents revealed a significant decrease in starch granule formation in llm9428. Genetic analysis revealed a single nucleotide change (C > T) that altered an amino acid (Ala > Val) in the candidate gene (Os03g0131200) encoding a CATALASE C in llm9428. CRISPR-Cas9 targetted knockout lines of LLM9428/OsCATC showed the phenotype of LMMs and reduced starch metabolism. Taken together, the current study results revealed a novel role of OsCATC in starch metabolism in addition to validating previously studied functions of CATs.

1. Introduction

CATALASE (CAT) is an antioxidant enzyme located in the cytoplasm, mitochondria and chloroplast. It mainly decomposes H2O2 produced in the mitochondrial electron transport chain and photorespiration and prevents plant cells from oxidative stress damage [1]. Previous studies have demonstrated that CAT plays an important role in plant growth and response to biotic and abiotic stresses [2]. At present, three types of CAT genes e.g., OsCATA, OsCATB and OsCATC have been characterized in rice. OsCATA is expressed in different tissue including roots, leaves and stem, where the highest expression level was observed in leaves [1,3]. Under a copper stressed environment, the expression level of OsCATA was down-regulated in germinating seeds and resulted in an increase of H2O2 [4]. The expression level of OsCATA and OsCATC were repressed under a water stress environment, but the expression of OsCATB was up-regulated and prevented the excessive accumulation of H2O2 [4]. The Llss of function mutant of OsCATC revealed increased H2O2 content that activates nitrate reductase and promotes the production of nitric oxide (NO), which have been reported to be involved in H2O2-induced cell death in rice [5]. OsCATC also has been reported to play its role in the oxidation of glycolate into CO2 and increases nitrogen content, photosynthetic efficiency and grain yield [6].
A leaf is the main source organ of photosynthesis in plants. Photosynthetic products are stored in leaf chloroplasts in the form of excessive starch during the daytime. At night, starch is hydrolyzed into sucrose with the help of different enzymes to sustain sugar metabolism [5,7]. Like H2O2, the excessive accumulation of starch in leaves also plays a role in programmed cell death (PCD) and causes leaf senescence by damaging the thylakoid membrane [8]. At present, starch metabolic pathway in Arabidopsis is clear, however, there are relatively few studies in rice, e.g., TREHALOSE-6-PHOSPHATE PHOSPHATASE 1 (OsTPP1), SUCROSE PHOSPHATE SYNTHASE 1 (SPS1), ISOAMYLASE 3 (OsISA3) [9,10,11] and GLUCAN WATER-DIKINASE 1 (OsGWD1) [12]. OsGWD1 encodes a key enzyme for starch degradation and its loss of function mutant produced excessive starch in leaves [12]. Overexpression of OsTPP1 enhances stress tolerance to salt and cold. Mutations in starch-producing genes can cause abnormalities in starch metabolism and activate the expression of stress-responsive genes [9]. Similarly, in rice, SEKIGUCHI LESION (OsSL) encodes a CYTOCHROME P450 MONOOXYGENASE located in the endoplasmic reticulum and its loss of function mutant early lesion leaf1 (ell1) showed lesions like phenotype and enrichment of starch particles [2]. Previous studies have highlighted the role of starch in the development of leaf lesions, however, the relationship between starch metabolism and PCD remained largely unknown.
Lesion-mimic mutants (LMMs) are present in hypersensitive (HR)-like lesions without pathogenic attack, and are used as an excellent source for the exploration of PCD and its molecular mechanism in plants [13]. Several LMMs have been characterized in Arabidopsis, barley (Hordeum vulgare), maize (Zea mays) and rice [14,15,16,17]. In rice, more than 20 LMM-related genes have been cloned and characterized, which encode different types of proteins e.g., AAA-type ATPase [18,19], CYTOCHROME P450 MONO-OXYGENASE [20], HEAT STRESS TRANSCRIPTION FACTOR PROTEIN [21], ATP-CITRATE LYASES [17], CULLIN 3-BASED RING E3 UBIQUITIN LIGASES [22] and XANTOXIN DEHYDROGENASE [23]. Therefore, the genetic regulation of lesion mimic formation in plants is controlled by multistep and complex processes. Despite a variety of LMMs having been isolated and characterized, the relationship between starch metabolism and lesion formation is elusive.
In the current study, a large lesion mimic mutant 9428 (llm9428) was screened from an Ethyl methanesulfonate (EMS) mutagenized population of an indica cv. Yixiang 1B. The mutant (llm9428) displayed typical phenotypes of an auto-immune response, such as spontaneous cell death, up-regulation of PR-genes, enhanced blast disease resistance and reduced starch metabolism. Loss of function mutant and CRISPR/Cas9 knock-out lines confirmed the role of OsCATC/LLM9428 in the immune response, retarded plant growth and development, and repression of starch metabolism. These results provide further insights into the molecular function of OsCATC in lesion mimic formation, disease resistance and starch metabolism in rice.

2. Results

2.1. llm9428 Showed a Stable Phenotype of Lesion Mimic Mutant

To understand the genetic and molecular basis of the lesion mimic phenotype, we observed the growth pattern of llm9428 and compared it to a wild-type (WT). At the seedling stage, the WT showed normal phenotypic traits, however, llm9428 showed stunted and retarded growth (Figure 1A). Large lesion-like spots began to appear in the leaves and expanded to the whole leaf with further growth and development in llm9428 (Figure 1B). Various agronomic traits, e.g., plant height, tiller number per plant, the number of grains per panicle, 1000-grains weight and seed-setting rate were significantly reduced in llm9428 (Figure 1C–G). Phenotypic and agronomic traits analyses revealed that llm9428 showed lesion mimic phenotypes on its leaves coupled with a significant decrease in yield-related traits.

2.2. llm9428 Showed Decreased Cell Viability and Increased (Reactive Oxygen Species) ROS

To assess the changes associated with the lesion mimic phenotype on leaves, trypan blue staining was used to check cell viability in llm9428 and the WT (Figure 2). Trypan blue solution produced light stains in the WT and dark and larger stains on leaves of llm9428, which indicated the cell viability in llm9428 had been compromised (Figure 2A). Excessive ROS accumulation can be a result of genetic factors and environmental stresses and cause damage to the cellular machinery, proteins, DNA and structure of macromolecules [24]. Additionally, 3,3′-diaminobenzidine (DAB) staining revealed high levels of H2O2 in llm9428 as compared to the WT (Figure 2B). These histochemical assays revealed that the lesion mimic phenotype was associated with increased cell death and ROS.

2.3. llm9428 Showed Enhanced Blast Disease Resistance

Recent studies have revealed that cell death in blast disease is often associated with the immune response [25]. To check the immune response, leaves of the WT and llm9428 were inoculated with a Magnaporthe oryzae strain Zhong10-8-14 (GZ8) at the four-leaf stage. Although, initially both the WT and llm9428 showed affinity to lesion development, however, after six days of inoculation the lesions were developed more vigorously in the WT than llm9428 (Figure 3A). The length and width of the lesions were also significantly increased in the WT compared to llm9428 (Figure 3B,C). Previous studies have reported increased expression of PR-genes in mutants with enhanced blast resistance [26]. Accordingly, the relative expression of PR genes e.g., PR1a, PR1b and PR10 was higher in llm9428 than the WT (Figure 3D). These results support that llm9428 has enhanced blast disease resistance.

2.4. Suppression in the Development of Chloroplast and Starch Metabolism in llm9428

Previous studies have indicated the role of ROS in biotic and abiotic stress including damage to leaf structures especially chloroplast [24,27]. To assess whether the ROS associated with lesions caused any damage to the subcellular structure of llm9428, we analyzed the chloroplast and mesophyll cell morphology using electron micrographs of the WT and llm9428 at the flowering stage (Figure 4). The WT revealed a well-developed membrane system, starch granules and grana (Figure 4A,B). However, in llm9428, the grana stacks were found degenerated and less dense with a significant decrease in the area of starch granules (Figure 4C,D). The thylakoid membrane system and membrane spacing were also found significantly disturbed compared to the WT. These results indicated the development of chloroplast and starch granule formation was suppressed in llm9428.

2.5. Reduction in Starch Content and Expression of Its Related Genes in llm9428

To answer whether reduced starch granules in llm9428 have caused any change in starch contents, the starch contents were quantified from the leaves and grains of the WT and llm9428 (Figure 5). Results showed that total starch content in the leaves of llm9428 was significantly lower than the WT (Figure 5A). Starch metabolism was reported to be changed according to the day length, temperature and circadian clocks [28]. The total starch contents “before end of day” and “before end of night” were quantified, and both were significantly decreased in llm9428 (Figure 5A). Reduction of the starch granules area and number were also reported to distress the starch signalling pathway by affecting the relative expression of starch-synthesis genes [29,30]. Relative expression of different structural components of starch, transport and its synthesis genes were determined in the WT and llm9428 (Figure 5C). Among them, the relative expression of STARCH SYNTHASE I (OsSSI), OsSSIIb, ADP-GLUCOSE PYROPHOSPHORYLASE LARGE SUBUNIT 1 (OsAGPL1) and OsAGPL3 especially starch-synthesis and structural component genes were significantly lower in llm9428 compared to the WT. These results indicated that the reduced accumulation of starch granules was attributed to the relative expression of starch genes in llm9428.

2.6. Genetic Analysis of llm9428

To find whether the phenotype of llm9428 is controlled by a dominant or recessive gene, llm9428 was crossed as a female and male parent to Yixiang 1B to develop two populations (llm9428 × Yixiang1B and Yixiang1B × llm9428). None among the F1 plants of both populations showed any phenotype of LMMs. In F2, 132 among 584 plants from llm9428 × Yixiang1B population, and 219 among 890 plants from Yixiang1B × llm9428 population showed the phenotype of LMMs (Table 1). Chi-square analysis of observed trait and segregation ratios (3:1) revealed that the phenotype of LMM in llm9428 is controlled by a single recessive nuclear gene.
To map a locus controlling the phenotype of LMMs, llm9428 was crossed with a japonica cv. 02428 to develop a mapping population (llm9428 × 02428). 512 pairs of simple sequence repeats (SSR) markers, evenly distributed on all 12 chromosomes of rice, were applied to the F2 individual showing the phenotype of LMMs. The presence of polymorphic bands between dominant (F2 plants without LMM phenotype) and recessive (F2 plants with LMM phenotype) plants showed that the locus is present on chromosome 3 between SSR markers RM5474 and Os.3.6.3 (Figure 6A and Figure S1A). To further narrow down, the polymorphic markers were searched from the primary mapped region. Screening of 276 plants from the mapping population revealed that the locus can be further narrowed down between SSR markers RM14360 and Indel-304 (Figure 6B). Screening of a further 1806 plants with newly developed indel markers revealed the mutation in llm9428 was located between the indel markers Indel-312 and Indel-319. A list of primers used in the SSR and indel markers analysis is given in Table S2 (Figure 6C and Figures S1B,C). Genetic linkage map, SSR and indels markers revealed that the candidate gene locus is positioned between Indel-312 and Indel-319 within a physical distance of 59 kb (Table S3). According to the Rice Genome annotation project accessed on 15 June 2021 (http://rice.plantbiology.msu.edu/), this region contains a gene “Os03g0131200”, which encodes a CATALASE C (OsCATC). To further verify the mutation, we deep sequenced the OsCATC gene from the WT and llm9428. Comparative sequence analysis revealed a one bp mutation (C > T) of 752nd nucleotide in the third exon of OsCATC in llm9428. This is a missense mutation and caused the change of amino acid alanine (Ala) to valine (Val) (Figure 6D). The chromatogram of llm9428 validated the presence of a single nucleotide polymorphism (SNP) in OsCATC (Figure 6E). Hence, a tentative name “LLM9428” was assigned to the candidate gene of llm9428.

2.7. CRISPR-Cas9 Targetted Knockout Lines of LLM9428/OsCATC Showed the Phenotype of LMMs and Reduced Starch Metabolism

To confirm whether phenotypes of llm9428 were associated with the mutation of LLM942, we developed knockout (KO) lines of its candidate gene. Three independent KO lines were developed by targetting the first exon of LLM9428 (Figure 7A). Sequencing revealed the successful deletion of 4 bp, 2 bp and 1 bp deletion in ko1, ko2 and ko3, respectively (Figure 7A and Figure S2). Transgenic lines of LLM9428 displayed lesion mimic spots on their leaves (Figure 7B). LLM9428 encodes a CATALASE C (OsCATC), an enzyme involved in the hydrolysis of H2O2, and its activity was significantly decreased in ko-1 compared to Nipponbare (NIP) (Figure 7C). A previous study has reported the role of CATALASE in the regulation of intracellular levels of H2O2 [31]. Accordingly, the quantification assays indicated that the CAT activity was decreased (Figure 7C) and H2O2 contents were significantly increased in ko1 compared to NIP (Figure 7D).
Further, to test whether the deletion in ko1 has caused any changes in granular starch, as previously observed in llm9428. Leaf sub-cellular structure of ko-1 at “before end of day” and “before end of night” were examined using transmission electron micrography at tillering stage (Figure 7E–H). The results indicated that the mesophyll cells and chloroplast in ko1 had degenerated and the number of starch granules was found to be significantly decreased compared to NIP. In addition, other phenotypic and agronomic traits e.g., plant height, tiller number, number of grains per panicle, 1000-grains weight and seed setting rate were significantly decreased in ko1 and comparable to llm9428 (Figure 7I–M). Taken together, these results not only validate the role of LLM9428 in lesion mimic formation but also present its novel role in starch granule formation.

3. Discussion

CATs are self-originating enzymes and have been reported to play their role in ROS homeostasis, nitrogen use efficiency, leaf senescence, cell death, photorespiration and conferring blast disease resistance [4,5,6,31,32]. The diversity in the role of these enzymes indicates their importance in plant function and metabolism. Versatility in the functions of these enzymes is attributed to their role in H2O2, which acts as a modulator of oxidative stress under biotic and abiotic stresses [33]. In the current study, a novel role of OsCATC in regulating starch granule formation in llm9428 was reported. The llm9428 showed a typical phenotype of LMMs and showed brown color lesions on the surface of leaves. These lesions are necrotic spots and are reported to vary in different mutants in terms of size and color e.g., reddish-brown [23], orange [24], yellow-brown [25], brown [26] and yellow-green striped necrotic spots [27]. These spots also vary in terms of shape and range from a diameter of about 1 mm in spl3 [28] to more than 10 mm in spl5 [29] and noe1 [17]. However, llm9428 showed relatively larger white and green lesion-like spots, which usually start from the lower leaves and gradually spread to all the leaves. The llm9428 displayed decreased height, reduced tillering, reduced 1000-grains weight (Figure 1), and enhanced resistance to rice blast (Figure 3). Typical phenotypic traits of llm9428 are consistent with the previous findings of LMMs [23,34,35].
Starch granules in leaf chloroplasts are a temporary storage form of photosynthetic products. These are synthesized in amyloplasts and stored in the endosperm [30,31]. Dysregulation of starch metabolism in leaves will lead to the excessive accumulation of starch granules in leaves [32]. Starch granule formation was affected due to the loss of function of ISOAMYLASE in barley [36]. However, in the current study, degenerated starch granules were found in chloroplasts of llm9428 due to loss of function of OsCATC (Figure 4). Total starch contents in leaves and grains of llm9428 were significantly decreased compared to the WT (Figure 5). Moreover, the decrease in the relative expression of starch synthesis and transport-related genes highlights the role of these enzymes in starch granule formation. It can be speculated that the obstruction of photosynthetic activity may have caused changes in starch granules in llm9428. A significant decrease in the starch accumulation in the leaves of llm9428 revealed an opposite trend to the leaf pre-senescence mutants starch accumulating 4 (ossac4) [33]. A significant decrease in the starch content in llm9428 could be due to decreased photosynthesis, which was affected by lesions. Moreover, the reduced starch content in leaves (Figure 5A,B) and the large area of disease-like spots refer to the decreased photosynthetic rate in llm9428.
CAT widely exists in animals, plants and microorganisms, and its main function is to decompose H2O2 into oxygen and water to maintain the balance of ROS in the cell. In the current study, the CAT activity was significantly decreased but on the contrary, the H2O2 contents were increased in llm9428 compared to the WT (Figure 7). H2O2 is a stable reactive oxygen species that plays an important regulatory role in biological processes such as plant growth and development, senescence, biotic stress and abiotic stress [35,36,37]. In addition, the expression levels of PR genes e.g., PR1a, PR1b and PR10 were higher in llm9428 than the WT and showed enhanced resistance to M. oryzae (Figure 3). Therefore, results revealed that mutation in LLM9428 reduces CAT activity, promotes H2O2 content, which increases cell death and triggers an immune response. Similar findings have already been observed in LLMs e.g., spl5 [29], spl3 [28] and lmm9150 [11]. Additionally, llm9428 will serve as a source to study the effect of lesions on starch granule formation. The relationship between H2O2 and starch metabolism in leaf chloroplasts is still elusive and deserves further study.
Fine-mapping of LLM9428 between the molecular markers of Indel-312 and Indel-319 on chromosome 3 was mapped in a physical interval of about 59 kb. This interval contains other eight annotated genes, among them OsCATC/NOE1 catalyzes the hydrolysis of H2O2. Lin et al. already reported the involvement of H2O2 in inducing leaf cell death by promoting the production of nitric oxide that results in the appearance of massive lesions on the leaves of the noe1 at the seedling stage [17]. Whether other genes in this region have a linkage with OsCATC/NOE1, and how the final phenotype of llm9428 is controlled at the molecular and proteomic level should be studied in the future. The current study adds a novel role in the multiple biological functions of OsCATC.

4. Material and Methods

4.1. Plant Materials

The seeds of a maintainer line (Yixiang 1B), the backbone of more than 50 hybrids and bred from the Institute of Agricultural Sciences, Yibin, Sichuan, China, were soaked (18 h) in a 1.2% solution of EMS for mutagenesis. The seeds were thoroughly washed in running water for 72 h and M0 population was grown in the field for phenotypic screening. A disease-like phenotype showing mutant llm9428 was screened from the mutagenized population and Yixiang 1B was taken as the Wild Type (WT) throughout the study. The phenotypic trait of LMM was stable and inherited in all succeeding segregating generations of the mutagenized population. The mutant was used alternatively as a male and a female parent and crossed with Yixiang 1B to develop two populations to study the segregation behavior of the candidate gene (Table 1). At the same time, llm9428 was crossed with a japonica cv. 02428 to generate a mapping population, which was used for gene mapping and SSR analysis. The F2 generation of the mapping population was used for genetic analysis. All plants were grown under natural field conditions in an experimental area of Rice Research Institute, Sichuan Agricultural University, Chengdu (N30.67°, E104.06°), China.

4.2. Investigation of Agronomic Traits

Data of agronomic traits were taken as an average number of 10 randomly selected plants of WT and llm9428 at the maturity stage.

4.3. Trypan Blue Staining

Trypan blue staining was used to identify dead cells. Samples were taken from the three-leaf stage, and immediately placed into trypan blue solution (ddH2O: lactic acid: glycerol: phenol: ethanol in the volume of 50 mL: 50 mL: 50 mL: 50 mL: 300 mL, respectively). The solution containing samples was boiled for five minutes and thoroughly rinsed with sterilized water. Then samples were placed in a decolorization solution to decolorize the dying. The decolorized green leaves were placed in glycerol (50%) for long-term storage and leaf sections were observed and photographed.

4.4. DAB Staining

DAB staining was used to detect the ROS from the samples. The selected samples were soaked in a DAB solution (1 mg/mL) and the pH of the solution was adjusted to 3.8 with concentrated HCl and stored in the dark at 4 °C. The solution containing samples was incubated (25–29 °C) overnight for staining. Samples were decolorized with a solution (75% alcohol, 5% glycerol mixture). After decolorization, samples were directly observed and photographed.

4.5. Identification of Rice Blast and Pathogen Inoculation

M. oryzae strain Zhong10-8-14 (GZ8) was cultured on sterilized plates containing oatmeal-tomato-agar (OTA) medium for 10 days at 28 °C with 12 h light and 12 h dark cycles, as previously reported by Chen et al. [37]. All-grown hyphae were scraped off with distilled water and to promote sporulation plates were further incubated for four days under the above-mentioned conditions. Fresh leaves, collected from the four-leaf stage were used for punch inoculation. The concentration of spores was adjusted to 5 × 105 conidia mL−1 for inoculation. 10 μL spore suspension was applied to each wounded site of the leaves. The inoculated leaves were incubated on 0.1 mmol/L 6-benzyl-adenine buffer. After 6 days, leaves were observed for blast lesions and size measurements.

4.6. Quantitative Relative Expression of Genes

RNA was extracted using Trizol reagent (purchased from Invitrogen) from rice leaves. High-quality RNA was reverse transcribed into cDNA with Takara’s PrimeScriptTM RT Kit with a gDNA eraser (Takara, Dalian, China) according to the manufacturer’s instruction. Takara SYBR® PrimeScript™ RT-PCR kit (Takara, Dalian, China) was used to determine the expression of the particular genes. Quantitative expression analysis was carried out by the software Bio-Rad CFX Manager V2.0 software installed in the qPCR instrument. Actin was used as an internal control. The quantitative expression data were analyzed according to 2 ΔΔCT method proposed by Livak et al. [38]. All primer sequences used for qPCR are listed in Table S1.

4.7. Transmission Electron Microscopic Observations

At tillering stage, the leaves with particular disease-like spots were selected from llm9428 and at the same stage from the WT. The samples were pre-fixed in a solution (3% glutaraldehyde, 1% osmium tetroxide) and then fixed in acetone. Subsequently, the dehydration gradients (30%, 50%, 70%, 80%, 90%, 95% and 100%) were used to wash samples. The dehydrated cells were successively passed through a dehydrating agent and embedded in epoxy resin (Sigma–Aldrich Epon 812, Fluke, Beijing, China). The infiltrated samples were put into an appropriate mold and polymerized to form a solid matrix (also called an embedding block). The samples were cut into semi-thin (500–800 Ǻ) sections with an ultramicrotome (Leica EM UC7, Leica Microsystems, Wetzlar, Germany). After cutting, samples were double-stained with uranyl-acetate and lead citrate and washed with deionized water before observation under the transmission electron microscope (HITACHI HT7700, Tokyo, Japan).

4.8. Determination of Starch Content

At the tillering stage, the samples were harvested and leaves were ground into powder form. The mature grains were pulverized into flour form. The starch contents were estimated with a starch detection kit (YX-C-C400) purchased from SINOBESTBIO, according to the manufacturer’s instructions. The same quantity (0.1 g) from the WT and llm9428 samples were used to measure the starch contents and data was recorded from three individual biological repeats.

4.9. Gene Mapping and Genetic Analysis

Map-based cloning and SSR marker analyses were performed according to the study of Ali et al. [39]. Individuals of F2 populations (llm9428 × Yixiang1B and Yixiang1B × llm9428) were used for inheritance behavior (dominance or recessiveness) of the llm9428 phenotype. The llm9428 was crossed with a japonica cv. 02428, and F2 individuals of mapping population (llm9428 × 02428) were used for SSR marker analysis and fine mapping. The primers used in primary and fine mapping are listed in Table S2. The genetic linkage map of chromosome 3 and physical distance are given in Table S3. The mutation was confirmed by individual primer amplification followed by deep sequencing from the WT and llm9428.

4.10. Construction of Knock-Out Vector and Genetic Transformation

The construction of the CRISPR/Cas9 knockout (KO) vector was performed according to the previous study of Xie et al. [40]. The vector used in the CRISPR/Cas9 system was provided by Professor Liu Yaoguang of South China Agricultural University. The specific construction steps were as follows, two targets, sequence 1 (CCTTCTGGAGGACTACCACCTGG) and sequence 2 (GAAGCTGGCCAACTTCGACAGGG) were selected according to the website accessed on 12 April 2021 (http://skl.scau.edu.cn/) developed by Professor Liu Yaoguang’s research group and oligos were designed for knockout of the target sequence. The possible off-target effects were prevented using the blast search of the target sequence in the Gramene and NCBI database. The KO constructs were developed according to instructions provided with the Kit (BGK032) purchased from Hangzhou Biogle Biotechnology Co., Ltd. The target single-guide RNA (sgRNA) was constructed into the expression cassette of the pYLCRISPR/Cas9P35S-H vector and digested with BsaI. The recombinant vector was transformed into E.coli strain Trans-DH5α according to the guidelines of Ma et al. [41]. Positive clones were confirmed using sequencing of individual clones and positive vectors were sent to Boyun Biotechnology Co., Ltd. for transforming into calli of japonica cv. Nipponbare according to guidelines of Toki et al. [42]. The homozygous T3 plants were used for phenotypic analysis.

5. Conclusions

In the current study, llm9428 mutant displayed the typical phenotype of LMMs e.g., spontaneous cell death and enhanced rice blast resistance. So far, previous studies did not report the effect of LLMs on starch metabolism. Map-based cloning revealed that the LLM9428, encoding a CATALASE C played a role in repressing the metabolism of starch granule formation in llm9428. The knockout lines of LLM9428 also displayed phenotypes of lesion mimic, reduced starch metabolism, and retarded plant growth and development, which were comparable to that of llm9428. Together, our data demonstrated the novel functions of LLM9428/OsCATC in starch metabolism, in addition to its function in plant growth and disease resistance.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/article/10.3390/ijms23073827/s1.

Author Contributions

X.W., W.W. designed and approved the project. Y.L. (Yongxiang Liao), A.A. and Z.X. designed experiments. Y.L. (Yongxiang Liao), Z.X., X.Z., and T.W. carried out the genetic analysis and map-based cloning. Y.L. (Yingxiu Liao), P.J., W.Y., D.G., P.X., H.Z. (Hongyu Zhang), X.C., X.C., H.Z. (Hao Zhou) and Y.L. (Yutong Liu) assisted in the data analysis. A.A., Y.L. (Yongxiang Liao) and X.W. performed data curation and revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

We acknowledge grants-in-aid from the Department of Science and Technology of Sichuan Province (2021YFYZ0020, 2021YFY20016), an Open Project Program (20190106) of State Key Laboratory of Rice Biology, the Project of Science and Technology of Chengdu City (2021-YF05-02090-SN, 2021-YF09-00065-SN) and a Breeding Research Project (21ZDYF2186). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The datasets supporting the conclusions of this article are included within the article.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Phenotypic observation of wild type and llm9428. (A) Plant of WT and llm9428 at the seedling stage, (B) The phenotype of WT leaf and llm9428 leaf at the seedling stage. Comparison of plant height (C) tiller number per plant (D) number of grains per panicle (E) 1000-grains weight (F) and seed setting rate (G) between WT and llm9428 respectively. Statistical significance was analyzed using Student’s t-test, *** and **** indicate p < 0.001 and p < 0.0001, respectively. Scale bar in (A,B) = 10 cm. Data presented in (C–G) are the average of n = 10 plants.
Figure 1. Phenotypic observation of wild type and llm9428. (A) Plant of WT and llm9428 at the seedling stage, (B) The phenotype of WT leaf and llm9428 leaf at the seedling stage. Comparison of plant height (C) tiller number per plant (D) number of grains per panicle (E) 1000-grains weight (F) and seed setting rate (G) between WT and llm9428 respectively. Statistical significance was analyzed using Student’s t-test, *** and **** indicate p < 0.001 and p < 0.0001, respectively. Scale bar in (A,B) = 10 cm. Data presented in (C–G) are the average of n = 10 plants.
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Figure 2. Histochemical staining of WT and llm9428. (A) Trypan blue staining of leaf section of WT and llm9428. (B) DAB staining of leaf section of WT and llm9428. Scale bar: 1 cm.
Figure 2. Histochemical staining of WT and llm9428. (A) Trypan blue staining of leaf section of WT and llm9428. (B) DAB staining of leaf section of WT and llm9428. Scale bar: 1 cm.
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Figure 3. llm9428 has enhanced blast disease resistance compared to WT. (A) The phenotype of disease lesions of WT and llm9428 at four-leaf stage, (B) length and (C) width of disease lesions in WT and llm9428. (D) The relative expression levels of PR-genes in WT and llm9428. The data presented in B-C is the average of 10 leaves. Mean and SD were obtained from three independent measurements. Statistical analysis was performed using Student’s t-test, ** and *** indicate p < 0.01 and p < 0.0001, respectively. Scale bar: 1 cm in (A).
Figure 3. llm9428 has enhanced blast disease resistance compared to WT. (A) The phenotype of disease lesions of WT and llm9428 at four-leaf stage, (B) length and (C) width of disease lesions in WT and llm9428. (D) The relative expression levels of PR-genes in WT and llm9428. The data presented in B-C is the average of 10 leaves. Mean and SD were obtained from three independent measurements. Statistical analysis was performed using Student’s t-test, ** and *** indicate p < 0.01 and p < 0.0001, respectively. Scale bar: 1 cm in (A).
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Figure 4. Transmission electron micrographs of leaf sub-cellular structure of WT and llm9428. (A,B) Subcellular structure of leaf chloroplast of WT, and llm9428 (C,D) at flowering stage under a transmission electron microscope. Where CW: cell wall, CH: chloroplast; SG: starch granules and OB: osmiophilic body. Scale bar: 2 μm in (A,C) and 5 μm in (B,D).
Figure 4. Transmission electron micrographs of leaf sub-cellular structure of WT and llm9428. (A,B) Subcellular structure of leaf chloroplast of WT, and llm9428 (C,D) at flowering stage under a transmission electron microscope. Where CW: cell wall, CH: chloroplast; SG: starch granules and OB: osmiophilic body. Scale bar: 2 μm in (A,C) and 5 μm in (B,D).
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Figure 5. Comparison of total starch contents and relative expressions of its related genes in WT and llm9428. (A) Comparison of starch contents in the second leaves between WT and llm9428 mutant at tillering stage (ED: end of day, EN: end of night). (B) Comparison of starch contents in mature grains between WT and llm9428. (C) Relative expression levels of starch metabolism-related genes in leaves of WT and llm9428 at heading stage. Statistical analysis was performed using Student’s t-test, *, ** and *** indicate p < 0.05, p < 0.01 and p < 0.001, respectively. Mean and SD were obtained from three individual measurements.
Figure 5. Comparison of total starch contents and relative expressions of its related genes in WT and llm9428. (A) Comparison of starch contents in the second leaves between WT and llm9428 mutant at tillering stage (ED: end of day, EN: end of night). (B) Comparison of starch contents in mature grains between WT and llm9428. (C) Relative expression levels of starch metabolism-related genes in leaves of WT and llm9428 at heading stage. Statistical analysis was performed using Student’s t-test, *, ** and *** indicate p < 0.05, p < 0.01 and p < 0.001, respectively. Mean and SD were obtained from three individual measurements.
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Figure 6. Gene mapping of candidate gene of llm9428.(A) The position of the candidate gene of llm9428 on chromosome 3 between SSR marker Os.3.6.3 and RM5474, (B) The further narrowed down region of the candidate gene of llm9428 between Indel marker RM14360 and Indel-304, (C) The further narrowed down region of the candidate gene of llm9428 between Indel marker Indel-312 and Indel-319, (D) The structure of the candidate gene, which has six exons and five introns are indicated by green rectangles and black lines respectively. (E) Chromatograms showing the sequence comparison of WT and llm9428.
Figure 6. Gene mapping of candidate gene of llm9428.(A) The position of the candidate gene of llm9428 on chromosome 3 between SSR marker Os.3.6.3 and RM5474, (B) The further narrowed down region of the candidate gene of llm9428 between Indel marker RM14360 and Indel-304, (C) The further narrowed down region of the candidate gene of llm9428 between Indel marker Indel-312 and Indel-319, (D) The structure of the candidate gene, which has six exons and five introns are indicated by green rectangles and black lines respectively. (E) Chromatograms showing the sequence comparison of WT and llm9428.
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Figure 7. Phenotypic characterizations of knockout lines. (A) Deletion of nucleotides through CRISPR/cas9 in ko-1, ko2 and ko3, (B) The phenotype of KO lines displaying lesion mimic spots on leaves at tillering stage. NIP: Nipponbare. Scale bar: 1 cm. (C) Changes of CAT activity in the leaf of NIP and ko1 at the tillering stage, (D) Comparison of H2O2 content in the leaves between NIP and ko1 at the tillering stage, (E) Sub-cellular structure of leaves in NIP at the end of the night, (F) Sub-cellular structure of leaves in ko1 at the end of the night, (G) Sub-cellular structure of leaves in NIP at the end of the day, (H) Sub-cellular structure of leaves in ko1 at the end of the day, where CW, cell wall, CH, chloroplast; SG, starch granules; OB, osmiophilic body. Scale bar: 2 μm in (E–H). Comparison of agronomic traits e.g plant height (I), tiller number (J), number of grains per panicle (K), 1000-grains weight (L), and seed setting rate (M). Data were obtained from 10 plants of NIP and ko1. Statistical analysis was performed using Student’s t-test, where *** indicates p < 0.001 in (D) and **** indicates p < 0.0001 in (C,I–M). Data presented in (I–M) were the average of n = 3 plants.
Figure 7. Phenotypic characterizations of knockout lines. (A) Deletion of nucleotides through CRISPR/cas9 in ko-1, ko2 and ko3, (B) The phenotype of KO lines displaying lesion mimic spots on leaves at tillering stage. NIP: Nipponbare. Scale bar: 1 cm. (C) Changes of CAT activity in the leaf of NIP and ko1 at the tillering stage, (D) Comparison of H2O2 content in the leaves between NIP and ko1 at the tillering stage, (E) Sub-cellular structure of leaves in NIP at the end of the night, (F) Sub-cellular structure of leaves in ko1 at the end of the night, (G) Sub-cellular structure of leaves in NIP at the end of the day, (H) Sub-cellular structure of leaves in ko1 at the end of the day, where CW, cell wall, CH, chloroplast; SG, starch granules; OB, osmiophilic body. Scale bar: 2 μm in (E–H). Comparison of agronomic traits e.g plant height (I), tiller number (J), number of grains per panicle (K), 1000-grains weight (L), and seed setting rate (M). Data were obtained from 10 plants of NIP and ko1. Statistical analysis was performed using Student’s t-test, where *** indicates p < 0.001 in (D) and **** indicates p < 0.0001 in (C,I–M). Data presented in (I–M) were the average of n = 3 plants.
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Table
Table 1. Segregation ratios of F2 plants with and without LMM phenotype.
Table 1. Segregation ratios of F2 plants with and without LMM phenotype.
PopulationTotal Plants ObservedPlants Showing WT’s PhenotypePlants Showing Mutant’s PhenotypeChi-Square TestSegregation Ratio
llm9428 × Yixiang1B584452132χ2 = 1.66 < χ20.05,1 = 3.843.42:1
Yixiang1B × llm9428890671219χ2 = 0.05 < χ20.05,1 = 3.843.06:1
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Liao, Y.; Ali, A.; Xue, Z.; Zhou, X.; Ye, W.; Guo, D.; Liao, Y.; Jiang, P.; Wu, T.; Zhang, H.; et al. Disruption of LLM9428/OsCATC Represses Starch Metabolism and Confers Enhanced Blast Resistance in Rice. Int. J. Mol. Sci. 2022, 23, 3827. https://doi.org/10.3390/ijms23073827

AMA Style

Liao Y, Ali A, Xue Z, Zhou X, Ye W, Guo D, Liao Y, Jiang P, Wu T, Zhang H, et al. Disruption of LLM9428/OsCATC Represses Starch Metabolism and Confers Enhanced Blast Resistance in Rice. International Journal of Molecular Sciences. 2022; 23(7):3827. https://doi.org/10.3390/ijms23073827

Chicago/Turabian Style

Liao, Yongxiang, Asif Ali, Zhenzhen Xue, Xia Zhou, Wenwei Ye, Daiming Guo, Yingxiu Liao, Pengfei Jiang, Tingkai Wu, Hongyu Zhang, and et al. 2022. "Disruption of LLM9428/OsCATC Represses Starch Metabolism and Confers Enhanced Blast Resistance in Rice" International Journal of Molecular Sciences 23, no. 7: 3827. https://doi.org/10.3390/ijms23073827

APA Style

Liao, Y., Ali, A., Xue, Z., Zhou, X., Ye, W., Guo, D., Liao, Y., Jiang, P., Wu, T., Zhang, H., Xu, P., Chen, X., Zhou, H., Liu, Y., Wang, W., & Wu, X. (2022). Disruption of LLM9428/OsCATC Represses Starch Metabolism and Confers Enhanced Blast Resistance in Rice. International Journal of Molecular Sciences, 23(7), 3827. https://doi.org/10.3390/ijms23073827

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