Genetic Breeding and Germplasm Enhancement of Rice

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 15416

Special Issue Editors


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Guest Editor
State Key Laboratory of Exploration and Utilization of Crop Gene Resources in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
Interests: rice–microbe Interactions; rice disease resistance; rice germplasm; molecular breeding; genetic improvement

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Guest Editor
College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
Interests: rice breeding; Rice planthopper; rice resistance; rice planthopper

Special Issue Information

Dear Colleagues,

Rice is one of the main staple crops and provides food for half of the world population. Developing rice varieties with elite agronomic traits, including high yield, and good grain quality, resistance to biotic stresses and tolerance to abiotic stresses is the main goal of the rice industry. Genetic breeding and germplasm enhancement of rice are of great importance for us to reach this goal. For this purpose, we need to explore rice genetic resources, in order to characterize the genetic basis and elucidate the underlying mechanisms of important traits, and thereafter to improve germplasms and develop elite rice varieties. This Special Issue of Plants will highlight the exploration or creation of rice genetic resources, characterization and isolation of genes in the regulation of important agronomic traits, discovery of novel mechanisms in agricultural traits’ development and enhancement of germplasms and genetic breeding.

Prof. Dr. Xuewei Chen
Prof. Dr. Yuqiang Liu
Guest Editors

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Keywords

  • rice
  • genetic resources
  • agronomic trait
  • yield
  • grain quality
  • disease resistance
  • stress tolerance
  • germplasm enhancement
  • gene editing
  • molecular design
  • genetic breeding

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Published Papers (4 papers)

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Research

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15 pages, 2191 KiB  
Article
Characterization and QTL Mapping of a Major Field Resistance Locus for Bacterial Blight in Rice
by Jae-Ryoung Park, Chang-Min Lee, Hyeonso Ji, Man-Kee Baek, Jeonghwan Seo, O-Young Jeong and Hyun-Su Park
Plants 2022, 11(11), 1404; https://doi.org/10.3390/plants11111404 - 25 May 2022
Cited by 3 | Viewed by 2117
Abstract
Bacterial blight (BB) disease, caused by Xanthomonas oryzae pv. oryzae (Xoo), is among the major factors that can cause rice yields to decrease. To address BB disease, researchers have been looking for ways to change pesticides and cultivation methods, but developing [...] Read more.
Bacterial blight (BB) disease, caused by Xanthomonas oryzae pv. oryzae (Xoo), is among the major factors that can cause rice yields to decrease. To address BB disease, researchers have been looking for ways to change pesticides and cultivation methods, but developing resistant cultivars is the most effective method. However, the resistance and genetic factors of cultivars may be destroyed due to the emergence of new Xoo species caused by recent and rapid climate changes. Therefore, breeders need to identify resistance genes that can be sustained during unpredictable climate changes and utilized for breeding. Here, qBBR11, a quantitative trait locus (QTL) for resistance to BB disease, was detected in KJ (Korea Japonica varieties) 11_067 to KJ11_068 on chromosome 11 in a population derived by crossing JJ (Jeonju) 623 and HR(High resistant)27,195, which possess similar genetic backgrounds but different degrees of resistance to BB disease. qBBR11 was reduced from 18.49–18.69 Mbp of chromosome 11 to 200 kbp segment franked. In this region, 16 candidate genes were detected, and we identified 24 moderate-impact variations and four high-impact variations. In particular, high-impact variations were detected in Os11g0517800 which encode the domain region of GCN2 which is the eIF-2-alpha kinase associated with the resistance of abiotic/biotic stress in rice. In JJ623, which is moderately resistant to BB disease, a stop codon was created due to single nucleotide polymorphism (SNP). Therefore, compared with HR27195, JJ623 has weaker resistance to BB disease, though the two have similar genetic backgrounds. The results suggest that variation in the qBBR11 region regulates an important role in improving resistance to BB diseases, and qBBR11 is useful in providing an important resource for marker-assisted selection to improve mechanisms of resistance to BB disease. Full article
(This article belongs to the Special Issue Genetic Breeding and Germplasm Enhancement of Rice)
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15 pages, 2475 KiB  
Article
QTL Analysis Revealed One Major Genetic Factor Inhibiting Lesion Elongation by Bacterial Blight (Xanthomonas oryzae pv. oryzae) from a japonica Cultivar Koshihikari in Rice
by Shameel Shah, Hiroaki Tsuneyoshi, Katsuyuki Ichitani and Satoru Taura
Plants 2022, 11(7), 867; https://doi.org/10.3390/plants11070867 - 24 Mar 2022
Cited by 1 | Viewed by 3615
Abstract
Xanthomonas oryzae pv. oryzae (Xoo) is a pathogen that has ravaged the rice industry as the causal agent of bacterial blight (BB) diseases in rice. Koshihikari (KO), an elite japonica cultivar, and ARC7013 (AR), an indica cultivar, are both susceptible to [...] Read more.
Xanthomonas oryzae pv. oryzae (Xoo) is a pathogen that has ravaged the rice industry as the causal agent of bacterial blight (BB) diseases in rice. Koshihikari (KO), an elite japonica cultivar, and ARC7013 (AR), an indica cultivar, are both susceptible to Xoo. Their phenotypic characteristics reveal that KO has shorter lesion length than that of AR. The F2 population from KO × AR results in continuous distribution of lesion length by inoculation of an Xoo race (T7147). Consequently, quantitative trait loci (QTL) mapping of the F2 population is conducted, covering 12 chromosomes with 107 simple sequence repeat (SSR) and insertion/deletion (InDel) genetic markers. Three QTLs are identified on chromosomes 2, 5, and 10. Of them, qXAR5 has the strongest resistance variance effect of 20.5%, whereas qXAR2 and qXAR10 have minor QTL effects on resistance variance, with 3.9% and 2.3%, respectively, for a total resistance variance of 26.7%. The QTLs we examine for this study differ from the loci of BB resistance genes from earlier studies. Our results can help to facilitate understanding of genetic and morphological fundamentals for use in rice breeding programs that are more durable against evolving Xoo pathogens and uncertain climatic temperature. Full article
(This article belongs to the Special Issue Genetic Breeding and Germplasm Enhancement of Rice)
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15 pages, 1349 KiB  
Article
New Hybrid Spikelet Sterility Gene Found in Interspecific Cross between Oryza sativa and O. meridionalis
by Katsuyuki Ichitani, Daiki Toyomoto, Masato Uemura, Kentaro Monda, Makoto Ichikawa, Robert Henry, Tadashi Sato, Satoru Taura and Ryuji Ishikawa
Plants 2022, 11(3), 378; https://doi.org/10.3390/plants11030378 - 29 Jan 2022
Cited by 4 | Viewed by 2927
Abstract
Various kinds of reproductive barriers have been reported in intraspecific and interspecific crosses between the AA genome Oryza species, to which Asian rice (O. sativa) and African rice (O. glaberrima) belong. A hybrid seed sterility phenomenon was found in [...] Read more.
Various kinds of reproductive barriers have been reported in intraspecific and interspecific crosses between the AA genome Oryza species, to which Asian rice (O. sativa) and African rice (O. glaberrima) belong. A hybrid seed sterility phenomenon was found in the progeny of the cross between O. sativa and O. meridionalis, which is found in Northern Australia and Indonesia and has diverged from the other AA genome species. This phenomenon could be explained by an egg-killer model. Linkage analysis using DNA markers showed that the causal gene was located on the distal end of chromosome 1. Because no known egg-killer gene was located in that chromosomal region, this gene was named HYBRID SPIKELET STERILITY 57 (abbreviated form, S57). In heterozygotes, the eggs carrying the sativa allele are killed, causing semi-sterility. This killer system works incompletely: some eggs carrying the sativa allele survive and can be fertilized. The distribution of alleles in wild populations of O. meridionalis was discussed from the perspective of genetic differentiation of populations. Full article
(This article belongs to the Special Issue Genetic Breeding and Germplasm Enhancement of Rice)
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Review

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36 pages, 2649 KiB  
Review
A Review of Integrative Omic Approaches for Understanding Rice Salt Response Mechanisms
by Mohammad Asad Ullah, Muhammad-Redha Abdullah-Zawawi, Rabiatul-Adawiah Zainal-Abidin, Noor Liyana Sukiran, Md Imtiaz Uddin and Zamri Zainal
Plants 2022, 11(11), 1430; https://doi.org/10.3390/plants11111430 - 27 May 2022
Cited by 27 | Viewed by 5849
Abstract
Soil salinity is one of the most serious environmental challenges, posing a growing threat to agriculture across the world. Soil salinity has a significant impact on rice growth, development, and production. Hence, improving rice varieties’ resistance to salt stress is a viable solution [...] Read more.
Soil salinity is one of the most serious environmental challenges, posing a growing threat to agriculture across the world. Soil salinity has a significant impact on rice growth, development, and production. Hence, improving rice varieties’ resistance to salt stress is a viable solution for meeting global food demand. Adaptation to salt stress is a multifaceted process that involves interacting physiological traits, biochemical or metabolic pathways, and molecular mechanisms. The integration of multi-omics approaches contributes to a better understanding of molecular mechanisms as well as the improvement of salt-resistant and tolerant rice varieties. Firstly, we present a thorough review of current knowledge about salt stress effects on rice and mechanisms behind rice salt tolerance and salt stress signalling. This review focuses on the use of multi-omics approaches to improve next-generation rice breeding for salinity resistance and tolerance, including genomics, transcriptomics, proteomics, metabolomics and phenomics. Integrating multi-omics data effectively is critical to gaining a more comprehensive and in-depth understanding of the molecular pathways, enzyme activity and interacting networks of genes controlling salinity tolerance in rice. The key data mining strategies within the artificial intelligence to analyse big and complex data sets that will allow more accurate prediction of outcomes and modernise traditional breeding programmes and also expedite precision rice breeding such as genetic engineering and genome editing. Full article
(This article belongs to the Special Issue Genetic Breeding and Germplasm Enhancement of Rice)
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