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Wu T, Bi Y, Yu Y, Zhou Z, Yuan B, Ding X, Zhang Q, Chen X, Yang H, Liu H, Chu Z. Activated Expression of Rice DMR6-like Gene OsS3H Partially Explores the Susceptibility to Bacterial Leaf Streak Mediated by Knock-Out OsF3H04g. Int J Mol Sci 2023; 24:13263. [PMID: 37686066 PMCID: PMC10487387 DOI: 10.3390/ijms241713263] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/09/2023] [Accepted: 08/15/2023] [Indexed: 09/10/2023] Open
Abstract
Downy Mildew Resistance 6-like (DMR6-like) genes are identified as salicylic acid (SA) hydroxylases and negative regulators of plant immunity. Previously, we identified two rice DMR6-like genes, OsF3H03g, and OsF3H04g, that act as susceptible targets of transcription activator-like effectors (TALEs) from Xanthomonas oryzae pv. oryzicola (Xoc), which causes bacterial leaf streak (BLS) in rice. Furthermore, all four homologs of rice DMR6-like proteins were identified to predominantly carry the enzyme activity of SA 5-hydroxylase (S5H), negatively regulate rice broad-spectrum resistance, and cause the loss of function of these OsDMR6s, leading to increased resistance to rice blast and bacterial blight (BB). Here, we curiously found that an OsF3H04g knock-out mutant created by T-DNA insertion, osf3h04g, was remarkedly susceptible to BLS and BB and showed an extreme reduction in SA content. OsF3H04g knock-out rice lines produced by gene-editing were mildly susceptible to BLS and reduced content of SA. To explore the susceptibility mechanism in OsF3H04g loss-of-function rice lines, transcriptome sequencing revealed that another homolog, OsS3H, had induced expression in the loss-of-function OsF3H04g rice lines. Furthermore, we confirmed that a great induction of OsS3H downstream and genomically adjacent to OsF3H04g in osf3h04g was primarily related to the inserted T-DNA carrying quadruple enhancer elements of 35S, while a slight induction was caused by an unknown mechanism in gene-editing lines. Then, we found that the overexpression of OsS3H increased rice susceptibility to BLS, while gene-editing mediated the loss-of-function OsS3H enhanced rice resistance to BLS. However, the knock-out of both OsF3H04g and OsS3H by gene-editing only neutralized rice resistance to BLS. Thus, we concluded that the knock-out of OsF3H04g activated the expression of the OsS3H, partially participating in the susceptibility to BLS in rice.
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Affiliation(s)
- Tao Wu
- College of Plant Protection, Yangzhou University, Yangzhou 225009, China; (T.W.); (Q.Z.)
| | - Yunya Bi
- State Key Laboratory of Hybrid Rice, Hubei Hongshan Laboratory, College of Life Sciences, Wuhan University, Wuhan 430072, China; (Y.B.); (Y.Y.); (Z.Z.); (X.C.)
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China;
| | - Yue Yu
- State Key Laboratory of Hybrid Rice, Hubei Hongshan Laboratory, College of Life Sciences, Wuhan University, Wuhan 430072, China; (Y.B.); (Y.Y.); (Z.Z.); (X.C.)
| | - Zhou Zhou
- State Key Laboratory of Hybrid Rice, Hubei Hongshan Laboratory, College of Life Sciences, Wuhan University, Wuhan 430072, China; (Y.B.); (Y.Y.); (Z.Z.); (X.C.)
| | - Bin Yuan
- Institute of Plant Protection and Soil Fertilizer, Hubei Academy of Agricultural Sciences, Wuhan 430064, China;
| | - Xinhua Ding
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China; (X.D.); (H.L.)
| | - Qingxia Zhang
- College of Plant Protection, Yangzhou University, Yangzhou 225009, China; (T.W.); (Q.Z.)
| | - Xiangsong Chen
- State Key Laboratory of Hybrid Rice, Hubei Hongshan Laboratory, College of Life Sciences, Wuhan University, Wuhan 430072, China; (Y.B.); (Y.Y.); (Z.Z.); (X.C.)
| | - Hong Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China;
| | - Haifeng Liu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China; (X.D.); (H.L.)
| | - Zhaohui Chu
- State Key Laboratory of Hybrid Rice, Hubei Hongshan Laboratory, College of Life Sciences, Wuhan University, Wuhan 430072, China; (Y.B.); (Y.Y.); (Z.Z.); (X.C.)
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Zhu X, Chen L, Zhang Z, Li J, Zhang H, Li Z, Pan Y, Wang X. Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS. BMC PLANT BIOLOGY 2023; 23:396. [PMID: 37596557 PMCID: PMC10436437 DOI: 10.1186/s12870-023-04412-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Rice is the second-largest food crop in the world and vulnerable to bacterial leaf streak disease. A thorough comprehension of the genetic foundation of agronomic traits was essential for effective implementation of molecular marker-assisted selection. RESULTS Our study aimed to evaluate the vulnerability of rice to bacterial leaf streak disease (BLS) induced by the gram-negative bacterium Xanthomonas oryzae pv. oryzicola (Xoc). In order to accomplish this, we first analyzed the population structure of 747 accessions and subsequently assessed their phenotypes 20 days after inoculation with a strain of Xoc, GX01. We conducted genome-wide association studies (GWAS) on a population of 747 rice accessions, consisting of both indica and japonica subpopulations, utilizing phenotypic data on resistance to bacterial leaf streak (RBLS) and sequence data. We identified a total of 20 QTLs associated with RBLS in our analysis. Through the integration of linkage mapping, sequence analysis, haplotype analysis, and transcriptome analysis, we were able to identify five potential candidate genes (OsRBLS1-OsRBLS5) that possess the potential to regulate RBLS in rice. In order to gain a more comprehensive understanding of the genetic mechanism behind resistance to bacterial leaf streak, we conducted tests on these genes in both the indica and japonica subpopulations, ultimately identifying superior haplotypes that suggest the potential utilization of these genes in breeding disease-resistant rice varieties. CONCLUSIONS The findings of our study broaden our comprehension of the genetic mechanisms underlying RBLS in rice and offer significant insights that can be applied towards genetic improvement and breeding of disease-resistant rice in rapidly evolving environmental conditions.
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Affiliation(s)
- Xiaoyang Zhu
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Lei Chen
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572025, People's Republic of China
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Zhanying Zhang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jinjie Li
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Hongliang Zhang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zichao Li
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Yinghua Pan
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572025, People's Republic of China.
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
| | - Xueqiang Wang
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572025, People's Republic of China.
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
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Yang J, Fang Y, Wu H, Zhao N, Guo X, Mackon E, Peng H, Huang S, He Y, Qin B, Liu Y, Liu F, Chen S, Li R. Improvement of resistance to rice blast and bacterial leaf streak by CRISPR/Cas9-mediated mutagenesis of Pi21 and OsSULTR3;6 in rice ( Oryza sativa L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1209384. [PMID: 37528980 PMCID: PMC10389665 DOI: 10.3389/fpls.2023.1209384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/27/2023] [Indexed: 08/03/2023]
Abstract
Rice (Oryza sativa L.) is a staple food in many countries around the world, particularly in China. The production of rice is seriously affected by the bacterial leaf streak and rice blast, which can reduce rice yield or even cause it to fail to be harvested. In this study, susceptible material 58B was edited by CRISPR/Cas9, targeting a target of the Pi21 gene and a target of the effector-binding element (EBE) of the OsSULTR3;6 gene, and the mutants 58b were obtained by Agrobacterium-mediated method. The editing efficiency of the two targets in the T0 generation was higher than 90.09%, the homozygous mutants were successfully selected in the T0 generation, and the homozygous mutation rate of each target was higher than 26.67%. The expression of the edited pi21 and EBE of Ossultr3;6 was significantly reduced, and the expression of defense responsive genes was significantly upregulated after infected with rice blast. The lesion areas of rice blast and bacterial leaf streak were significantly reduced in 58b, and the resistance of both was effectively improved. Furthermore, the gene editing events did not affect the agronomic traits of rice. In this study, the resistance of 58b to rice blast and bacterial leaf streak was improved simultaneously. This study provides a reference for using Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 (CRISPR/Cas9) to accelerate the improvement of rice varieties and the development of new materials for rice breeding.
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Affiliation(s)
- Jinlian Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Yaoyu Fang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Hu Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Neng Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Xinying Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Enerand Mackon
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Haowen Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Sheng Huang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning, China
| | - Yongqiang He
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Baoxiang Qin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Yaoguang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agricultural Bioresources, South China Agricultural University, Guangzhou, China
| | - Fang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Shengwu Chen
- Guangxi Lvhai Seed Co., Ltd, Marketing Department, Nanning, China
| | - Rongbai Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
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Yuan G, Sun K, Yu W, Jiang Z, Jiang C, Liu D, Wen L, Si H, Wu F, Meng H, Cheng L, Yang A, Wang Y. Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco. FRONTIERS IN PLANT SCIENCE 2023; 13:1086950. [PMID: 36704165 PMCID: PMC9871594 DOI: 10.3389/fpls.2022.1086950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/02/2022] [Indexed: 06/18/2023]
Abstract
Multiparent Advanced Generation Inter-Cross (MAGIC) population is an ideal genetic and breeding material for quantitative trait locus (QTL) mapping and molecular breeding. In this study, a MAGIC population derived from eight tobacco parents was developed. Eight parents and 560 homozygous lines were genotyped by a 430K single-nucleotide polymorphism (SNP) chip assay and phenotyped for nicotine content under different conditions. Four QTLs associated with nicotine content were detected by genome-wide association mapping (GWAS), and one major QTL, named qNIC7-1, was mapped repeatedly under different conditions. Furthermore, by combining forward mapping, bioinformatics analysis and gene editing, we identified an ethylene response factor (ERF) transcription factor as a candidate gene underlying the major QTL qNIC7-1 for nicotine content in tobacco. A presence/absence variation (PAV) at qNIC7-1 confers changes in nicotine content. Overall, the large size of this MAGIC population, diverse genetic composition, balanced parental contributions and high levels of recombination all contribute to its value as a genetic and breeding resource. The application of the tobacco MAGIC population for QTL mapping and detecting rare allelic variation was demonstrated using nicotine content as a proof of principle.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Lirui Cheng
- *Correspondence: Lirui Cheng, ; Aiguo Yang, ; Yuanying Wang,
| | - Aiguo Yang
- *Correspondence: Lirui Cheng, ; Aiguo Yang, ; Yuanying Wang,
| | - Yuanying Wang
- *Correspondence: Lirui Cheng, ; Aiguo Yang, ; Yuanying Wang,
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Ishwarya Lakshmi VG, Sreedhar M, JhansiLakshmi V, Gireesh C, Rathod S, Bohar R, Deshpande S, Laavanya R, Kiranmayee KNSU, Siddi S, Vanisri S. Development and Validation of Diagnostic KASP Markers for Brown Planthopper Resistance in Rice. Front Genet 2022; 13:914131. [PMID: 35899197 PMCID: PMC9309266 DOI: 10.3389/fgene.2022.914131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Rice (Oryza sativa L.) is an important source of nutrition for the world’s burgeoning population that often faces yield loss due to infestation by the brown planthopper (BPH, Nilaparvata lugens (Stål)). The development of rice cultivars with BPH resistance is one of the crucial precedences in rice breeding programs. Recent progress in high-throughput SNP-based genotyping technology has made it possible to develop markers linked to the BPH more quickly than ever before. With this view, a genome-wide association study was undertaken for deriving marker-trait associations with BPH damage scores and SNPs from genotyping-by-sequencing data of 391 multi-parent advanced generation inter-cross (MAGIC) lines. A total of 23 significant SNPs involved in stress resistance pathways were selected from a general linear model along with 31 SNPs reported from a FarmCPU model in previous studies. Of these 54 SNPs, 20 were selected in such a way to cover 13 stress-related genes. Kompetitive allele-specific PCR (KASP) assays were designed for the 20 selected SNPs and were subsequently used in validating the genotypes that were identified, six SNPs, viz, snpOS00912, snpOS00915, snpOS00922, snpOS00923, snpOS00927, and snpOS00929 as efficient in distinguishing the genotypes into BPH-resistant and susceptible clusters. Bph17 and Bph32 genes that are highly effective against the biotype 4 of the BPH have been validated by gene specific SNPs with favorable alleles in M201, M272, M344, RathuHeenati, and RathuHeenati accession. These identified genotypes could be useful as donors for transferring BPH resistance into popular varieties with marker-assisted selection using these diagnostic SNPs. The resistant lines and the significant SNPs unearthed from our study can be useful in developing BPH-resistant varieties after validating them in biparental populations with the potential usefulness of SNPs as causal markers.
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Affiliation(s)
- V. G. Ishwarya Lakshmi
- Department of Genetics and Plant Breeding, College of Agriculture, Professor Jayashankar Telangana State Agricultural University (PJTSAU), Hyderabad, India
| | - M. Sreedhar
- Administrative Office, PJTSAU, Hyderabad, India
| | | | - C. Gireesh
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Santosha Rathod
- ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Rajaguru Bohar
- CGIAR Excellence in Breeding (EiB), CIMMYT-ICRISAT, Hyderabad, India
| | - Santosh Deshpande
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | - R. Laavanya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
| | | | - Sreedhar Siddi
- Agricultural Research Station, PJTSAU, Peddapalli, India
| | - S. Vanisri
- Institute of Biotechnology, PJTSAU, Hyderabad, India
- *Correspondence: S. Vanisri,
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6
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Liu Y, Yuan G, Si H, Sun Y, Jiang Z, Liu D, Jiang C, Pan X, Yang J, Luo Z, Zhang J, Ren M, Pan Y, Sun K, Meng H, Wen L, Xiao Z, Feng Q, Yang A, Cheng L. Identification of QTLs Associated With Agronomic Traits in Tobacco via a Biparental Population and an Eight-Way MAGIC Population. FRONTIERS IN PLANT SCIENCE 2022; 13:878267. [PMID: 35734263 PMCID: PMC9207565 DOI: 10.3389/fpls.2022.878267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
Agronomic traits such as plant height (PH), leaf number (LN), leaf length (LL), and leaf width (LW), which are closely related to yield and quality, are important in tobacco (Nicotiana tabacum L.). To identify quantitative trait loci (QTLs) associated with agronomic traits in tobacco, 209 recombinant inbred lines (RILs) and 537 multiparent advanced generation intercross (MAGIC) lines were developed. The biparental RIL and MAGIC lines were genotyped using a 430 K single-nucleotide polymorphism (SNP) chip assay, and their agronomic traits were repeatedly evaluated under different conditions. A total of 43 QTLs associated with agronomic traits were identified through a combination of linkage mapping (LM) and association mapping (AM) methods. Among these 43 QTLs, three major QTLs, namely qPH13-3, qPH17-1, and qLW20-1, were repeatedly identified by the use of various genetically diverse populations across different environments. The candidate genes for these major QTLs were subsequently predicted. Validation and utilization of the major QTL qLW20-1 for the improvement of LW in tobacco were investigated. These results could be applied to molecular marker-assisted selection (MAS) for breeding important agronomic traits in tobacco.
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Affiliation(s)
- Yutong Liu
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Guangdi Yuan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Huan Si
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Ying Sun
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Zipeng Jiang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Dan Liu
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Caihong Jiang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Xuhao Pan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Jun Yang
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Zhaopeng Luo
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Jianfeng Zhang
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Min Ren
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Yi Pan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
- School of Agriculture, Yunnan University, Kunming, China
| | - Kefan Sun
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - He Meng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Liuying Wen
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Zhiliang Xiao
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Quanfu Feng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Aiguo Yang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Lirui Cheng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
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7
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Zhu F, Ahchige MW, Brotman Y, Alseekh S, Zsögön A, Fernie AR. Bringing more players into play: Leveraging stress in genome wide association studies. JOURNAL OF PLANT PHYSIOLOGY 2022; 271:153657. [PMID: 35231821 DOI: 10.1016/j.jplph.2022.153657] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/14/2022] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
In order to meet the demand of the burgeoning human population as well as to adapt crops to the enhanced abiotic and biotic stress caused by the global climatic change, breeders focus on identifying valuable genes to improve both crop stress tolerance and crop quality. Recently, with the development of next-generation sequencing methods, millions of high quality single-nucleotide polymorphisms (SNPs) have been made available and genome-wide association studies (GWAS) are widely used in crop improvement studies to identify the associations between genetic variants of genomes and relevant crop agronomic traits. Here, we review classic cases of use of GWAS to identify genetic variants associated with valuable traits such as geographic adaptation, crop quality and metabolites. We discuss the power of stress GWAS to identify further associations including those with genes that are not, or only lowly, expressed during optimal growth conditions. Finally, we emphasize recent demonstrations of the efficiency and accuracy of time-resolved dynamic stress GWAS and GWAS based on genomic gene expression and structural variations, which can be applied to resolve more comprehensively the genetic regulation mechanisms of complex traits.
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Affiliation(s)
- Feng Zhu
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany; National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, 430070, Wuhan, China
| | - Micha Wijesingha Ahchige
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
| | - Yariv Brotman
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany; Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Saleh Alseekh
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany; Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria
| | - Agustin Zsögön
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany; Departamento de Biologia Vegetal, Universidade Federal de Viçosa, CEP 36570-900, Viçosa, MG, Brazil
| | - Alisdair R Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany; Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
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8
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Adhikari TB, Aryal R, Redpath LE, Van den Broeck L, Ashrafi H, Philbrick AN, Jacobs RL, Sozzani R, Louws FJ. RNA-Seq and Gene Regulatory Network Analyses Uncover Candidate Genes in the Early Defense to Two Hemibiotrophic Colletorichum spp. in Strawberry. Front Genet 2022; 12:805771. [PMID: 35360413 PMCID: PMC8960243 DOI: 10.3389/fgene.2021.805771] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 12/29/2021] [Indexed: 12/02/2022] Open
Abstract
Two hemibiotrophic pathogens, Colletotrichum acutatum (Ca) and C. gloeosporioides (Cg), cause anthracnose fruit rot and anthracnose crown rot in strawberry (Fragaria × ananassa Duchesne), respectively. Both Ca and Cg can initially infect through a brief biotrophic phase, which is associated with the production of intracellular primary hyphae that can infect host cells without causing cell death and establishing hemibiotrophic infection (HBI) or quiescent (latent infections) in leaf tissues. The Ca and Cg HBI in nurseries and subsequent distribution of asymptomatic infected transplants to fruit production fields is the major source of anthracnose epidemics in North Carolina. In the absence of complete resistance, strawberry varieties with good fruit quality showing rate-reducing resistance have frequently been used as a source of resistance to Ca and Cg. However, the molecular mechanisms underlying the rate-reducing resistance or susceptibility to Ca and Cg are still unknown. We performed comparative transcriptome analyses to examine how rate-reducing resistant genotype NCS 10-147 and susceptible genotype ‘Chandler’ respond to Ca and Cg and identify molecular events between 0 and 48 h after the pathogen-inoculated and mock-inoculated leaf tissues. Although plant response to both Ca and Cg at the same timepoint was not similar, more genes in the resistant interaction were upregulated at 24 hpi with Ca compared with those at 48 hpi. In contrast, a few genes were upregulated in the resistant interaction at 48 hpi with Cg. Resistance response to both Ca and Cg was associated with upregulation of MLP-like protein 44, LRR receptor-like serine/threonine-protein kinase, and auxin signaling pathway, whereas susceptibility was linked to modulation of the phenylpropanoid pathway. Gene regulatory network inference analysis revealed candidate transcription factors (TFs) such as GATA5 and MYB-10, and their downstream targets were upregulated in resistant interactions. Our results provide valuable insights into transcriptional changes during resistant and susceptible interactions, which can further facilitate assessing candidate genes necessary for resistance to two hemibiotrophic Colletotrichum spp. in strawberry.
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Affiliation(s)
- Tika B. Adhikari
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, United States
- *Correspondence: Tika B. Adhikari, ; Frank J. Louws,
| | - Rishi Aryal
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
| | - Lauren E. Redpath
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
| | - Lisa Van den Broeck
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | - Hamid Ashrafi
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
| | - Ashley N. Philbrick
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, United States
| | - Raymond L. Jacobs
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
| | - Rosangela Sozzani
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | - Frank J. Louws
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, United States
- Department of Horticultural Science, North Carolina State University, Raleigh, NC, United States
- *Correspondence: Tika B. Adhikari, ; Frank J. Louws,
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Diversity of transcription activator-like effectors and pathogenicity in strains of Xanthomonas oryzae pv. oryzicola from Yunnan. World J Microbiol Biotechnol 2022; 38:71. [PMID: 35258706 DOI: 10.1007/s11274-022-03230-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 01/07/2022] [Indexed: 10/18/2022]
Abstract
The present study aimed to evaluate transcriptional activator-like effector (TALE) genes in 86 Xanthomonas oryzae pv. oryzicola strains collected from 8 rice-growing regions in Yunnan, and to examine the relationship between TALE genotypes and virulence in 6 differential rice lines. Besides, the geographical areas, distribution of these genotypes were studied in detail. Genetic diversity was analyzed through the number and size of putative TALE genes based on TALE gene avrXa3 as a probe. We found that X. oryzae pv. oryzicola strains consist of variable number (13-27) of avrXa3-hybridizing fragments (putative TALE genes). Test strains were classified into 8 genotypes (G1-G8) with major genotypes G3 and G7 widely distributed in Yunnan. Pathogenicity of X. oryzae pv. oryzicola was evaluated by inoculating 6 differential rice lines with a single resistance gene into 9 pathotypes clusters (I-IX), the dominant Genotypes G3 and G7 consist of pathotypes I, II, and IV. Furthermore, we also detected the known TALE target genes expression in susceptible rice cultivar (cv. nipponbare) after inoculating 8 genotypes-representative X. oryzae pv. oryzicola strain. Correlation between the numbers of putative TALE genes of X. oryzae pv. oryzicola and relevant target genes in nipponbare confirmed up-regulation. Altogether, this study has given insights into the population structure of X. oryzae pv. oryzicola that may inform strategies to control BLS in rice.
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10
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Gangurde SS, Xavier A, Naik YD, Jha UC, Rangari SK, Kumar R, Reddy MSS, Channale S, Elango D, Mir RR, Zwart R, Laxuman C, Sudini HK, Pandey MK, Punnuri S, Mendu V, Reddy UK, Guo B, Gangarao NVPR, Sharma VK, Wang X, Zhao C, Thudi M. Two decades of association mapping: Insights on disease resistance in major crops. FRONTIERS IN PLANT SCIENCE 2022; 13:1064059. [PMID: 37082513 PMCID: PMC10112529 DOI: 10.3389/fpls.2022.1064059] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/10/2022] [Indexed: 05/03/2023]
Abstract
Climate change across the globe has an impact on the occurrence, prevalence, and severity of plant diseases. About 30% of yield losses in major crops are due to plant diseases; emerging diseases are likely to worsen the sustainable production in the coming years. Plant diseases have led to increased hunger and mass migration of human populations in the past, thus a serious threat to global food security. Equipping the modern varieties/hybrids with enhanced genetic resistance is the most economic, sustainable and environmentally friendly solution. Plant geneticists have done tremendous work in identifying stable resistance in primary genepools and many times other than primary genepools to breed resistant varieties in different major crops. Over the last two decades, the availability of crop and pathogen genomes due to advances in next generation sequencing technologies improved our understanding of trait genetics using different approaches. Genome-wide association studies have been effectively used to identify candidate genes and map loci associated with different diseases in crop plants. In this review, we highlight successful examples for the discovery of resistance genes to many important diseases. In addition, major developments in association studies, statistical models and bioinformatic tools that improve the power, resolution and the efficiency of identifying marker-trait associations. Overall this review provides comprehensive insights into the two decades of advances in GWAS studies and discusses the challenges and opportunities this research area provides for breeding resistant varieties.
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Affiliation(s)
- Sunil S. Gangurde
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Alencar Xavier
- Department of Agronomy, Purdue University, West Lafayette, IN, United States
| | | | - Uday Chand Jha
- Indian Council of Agricultural Research (ICAR), Indian Institute of Pulses Research (IIPR), Kanpur, Uttar Pradesh, India
| | | | - Raj Kumar
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - M. S. Sai Reddy
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Sonal Channale
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - Dinakaran Elango
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Reyazul Rouf Mir
- Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST), Sopore, India
| | - Rebecca Zwart
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - C. Laxuman
- Zonal Agricultural Research Station (ZARS), Kalaburagi, University of Agricultural Sciences, Raichur, Karnataka, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Manish K. Pandey
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Somashekhar Punnuri
- College of Agriculture, Family Sciences and Technology, Dr. Fort Valley State University, Fort Valley, GA, United States
| | - Venugopal Mendu
- Department of Plant Science and Plant Pathology, Montana State University, Bozeman, MT, United States
| | - Umesh K. Reddy
- Department of Biology, West Virginia State University, West Virginia, WV, United States
| | - Baozhu Guo
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
| | | | - Vinay K. Sharma
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Xingjun Wang
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
- *Correspondence: Mahendar Thudi, ; Chuanzhi Zhao,
| | - Mahendar Thudi
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
- *Correspondence: Mahendar Thudi, ; Chuanzhi Zhao,
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11
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Tonnessen BW, Bossa-Castro AM, Martin F, Leach JE. Intergenic spaces: a new frontier to improving plant health. THE NEW PHYTOLOGIST 2021; 232:1540-1548. [PMID: 34478160 DOI: 10.1111/nph.17706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 08/09/2021] [Indexed: 06/13/2023]
Abstract
To more sustainably mitigate the impact of crop diseases on plant health and productivity, there is a need for broader spectrum, long-lasting resistance traits. Defense response (DR) genes, located throughout the genome, participate in cellular and system-wide defense mechanisms to stave off infection by diverse pathogens. This multigenic resistance avoids rapid evolution of a pathogen to overcome host resistance. DR genes reside within resistance-associated quantitative trait loci (QTL), and alleles of DR genes in resistant varieties are more active during pathogen attack relative to susceptible haplotypes. Differential expression of DR genes results from polymorphisms in their regulatory regions, that includes cis-regulatory elements such as transcription factor binding sites as well as features that influence epigenetic structural changes to modulate chromatin accessibility during infection. Many of these elements are found in clusters, known as cis-regulatory modules (CRMs), which are distributed throughout the host genome. Regulatory regions involved in plant-pathogen interactions may also contain pathogen effector binding elements that regulate DR gene expression, and that, when mutated, result in a change in the plants' response. We posit that CRMs and the multiple regulatory elements that comprise them are potential targets for marker-assisted breeding for broad-spectrum, durable disease resistance.
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Affiliation(s)
- Bradley W Tonnessen
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA
- Western Colorado Research Center, Colorado State University, 30624 Hwy 92, Hotchkiss, CO, 81419, USA
| | - Ana M Bossa-Castro
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA
- Universidad de los Andes, Bogotá, 111711, Colombia
| | - Federico Martin
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA
| | - Jan E Leach
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA
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12
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Liu Z, Zhu Y, Shi H, Qiu J, Ding X, Kou Y. Recent Progress in Rice Broad-Spectrum Disease Resistance. Int J Mol Sci 2021; 22:11658. [PMID: 34769087 PMCID: PMC8584176 DOI: 10.3390/ijms222111658] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/25/2021] [Accepted: 10/25/2021] [Indexed: 11/25/2022] Open
Abstract
Rice is one of the most important food crops in the world. However, stable rice production is constrained by various diseases, in particular rice blast, sheath blight, bacterial blight, and virus diseases. Breeding and cultivation of resistant rice varieties is the most effective method to control the infection of pathogens. Exploitation and utilization of the genetic determinants of broad-spectrum resistance represent a desired way to improve the resistance of susceptible rice varieties. Recently, researchers have focused on the identification of rice broad-spectrum disease resistance genes, which include R genes, defense-regulator genes, and quantitative trait loci (QTL) against two or more pathogen species or many isolates of the same pathogen species. The cloning of broad-spectrum disease resistance genes and understanding their underlying mechanisms not only provide new genetic resources for breeding broad-spectrum rice varieties, but also promote the development of new disease resistance breeding strategies, such as editing susceptibility and executor R genes. In this review, the most recent advances in the identification of broad-spectrum disease resistance genes in rice and their application in crop improvement through biotechnology approaches during the past 10 years are summarized.
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Affiliation(s)
- Zhiquan Liu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; (Z.L.); (Y.Z.); (H.S.); (J.Q.)
| | - Yujun Zhu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; (Z.L.); (Y.Z.); (H.S.); (J.Q.)
| | - Huanbin Shi
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; (Z.L.); (Y.Z.); (H.S.); (J.Q.)
| | - Jiehua Qiu
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; (Z.L.); (Y.Z.); (H.S.); (J.Q.)
| | - Xinhua Ding
- State Key Laboratory of Crop Biology, Shandong Provincial Key Laboratory for Biology of Vegetable Diseases and Insect Pests, College of Plant Protection, Shandong Agricultural University, Taian 271018, China;
| | - Yanjun Kou
- State Key Lab of Rice Biology, China National Rice Research Institute, Hangzhou 311400, China; (Z.L.); (Y.Z.); (H.S.); (J.Q.)
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13
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Thianthavon T, Aesomnuk W, Pitaloka MK, Sattayachiti W, Sonsom Y, Nubankoh P, Malichan S, Riangwong K, Ruanjaichon V, Toojinda T, Wanchana S, Arikit S. Identification and Validation of a QTL for Bacterial Leaf Streak Resistance in Rice ( Oryza sativa L.) against Thai Xoc Strains. Genes (Basel) 2021; 12:1587. [PMID: 34680982 PMCID: PMC8535723 DOI: 10.3390/genes12101587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/02/2021] [Accepted: 10/07/2021] [Indexed: 11/17/2022] Open
Abstract
Rice is one of the most important food crops in the world and is of vital importance to many countries. Various diseases caused by fungi, bacteria and viruses constantly threaten rice plants and cause yield losses. Bacterial leaf streak disease (BLS) caused by Xanthomonas oryzae pv. oryzicola (Xoc) is one of the most devastating rice diseases. However, most modern rice varieties are susceptible to BLS. In this study, we applied the QTL-seq approach using an F2 population derived from the cross between IR62266 and Homcholasit (HSC) to rapidly identify the quantitative trait loci (QTL) that confers resistance to BLS caused by a Thai Xoc isolate, SP7-5. The results showed that a single genomic region at the beginning of chromosome 5 was highly associated with resistance to BLS. The gene xa5 was considered a potential candidate gene in this region since most associated single nucleotide polymorphisms (SNPs) were within this gene. A Kompetitive Allele-Specific PCR (KASP) marker was developed based on two consecutive functional SNPs in xa5 and validated in six F2 populations inoculated with another Thai Xoc isolate, 2NY2-2. The phenotypic variance explained by this marker (PVE) ranged from 59.04% to 70.84% in the six populations. These findings indicate that xa5 is a viable candidate gene for BLS resistance and may help in breeding programs for BLS resistance.
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Affiliation(s)
- Tripop Thianthavon
- Plant Breeding Program, Faculty of Agriculture at Kamphaeng Saen, Kesetsart University, Nakhon Pathom 73140, Thailand;
| | - Wanchana Aesomnuk
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Mutiara K. Pitaloka
- Rice Science Center, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand;
| | - Wannapa Sattayachiti
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Yupin Sonsom
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Phakchana Nubankoh
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Srihunsa Malichan
- Department of Plant Pathology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand;
| | - Kanamon Riangwong
- Department of Biotechnology, Faculty of Engineering and Industrial Technology, Silpakorn University, Sanamchandra Palace Campus, Nakhon Pathom 73000, Thailand;
| | - Vinitchan Ruanjaichon
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Theerayut Toojinda
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Samart Wanchana
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani 12120, Thailand; (W.A.); (W.S.); (Y.S.); (P.N.); (V.R.); (T.T.)
| | - Siwaret Arikit
- Rice Science Center, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand;
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand
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14
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Yang W, Zhao J, Zhang S, Chen L, Yang T, Dong J, Fu H, Ma Y, Zhou L, Wang J, Liu W, Liu Q, Liu B. Genome-Wide Association Mapping and Gene Expression Analysis Reveal the Negative Role of OsMYB21 in Regulating Bacterial Blight Resistance in Rice. RICE (NEW YORK, N.Y.) 2021; 14:58. [PMID: 34185169 PMCID: PMC8241976 DOI: 10.1186/s12284-021-00501-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 06/08/2021] [Indexed: 05/17/2023]
Abstract
BACKGROUND Bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases in rice all over the world. Due to the diversity and rapid evolution of Xoo, identification and use of the non-race specific quantitative resistance QTLs has been considered the preferred strategy for effective control of this disease. Although numerous QTLs for BB resistance have been identified, they haven't been effectively used for improvement of BB resistance in rice due to their small effects and lack of knowledge on the function of genes underlying the QTLs. RESULTS In the present study, a genome-wide association study of BB resistance was performed in a rice core collection from South China. A total of 17 QTLs were identified to be associated with BB resistance. Among them, 13 QTLs were newly identified in the present study and the other 4 QTLs were co-localized with the previously reported QTLs or Xa genes that confer qualitative resistance to Xoo strains. Particularly, the qBBR11-4 on chromosome 11 explained the largest phenotypic variation in this study and was co-localized with the previously identified QTLs for BB and bacterial leaf streak (BLS) resistance against diverse strains in three studies, suggesting its broad-spectrum resistance and potential value in rice breeding. Through combined analysis of differential expression and annotations of the predicted genes within qBBR11-4 between two sets of rice accessions selected based on haplotypes and disease phenotypes, we identified the transcription factor OsMYB21 as the candidate gene for qBBR11-4. The OsMYB21 overexpressing plants exhibited decreased resistance to bacterial blight, accompanied with down-regulation of several defense-related genes compared with the wild-type plants. CONCLUSION The results suggest that OsMYB21 negatively regulates bacterial blight resistance in rice, and this gene can be a promising target in rice breeding by using the gene editing method. In addition, the potential candidate genes for the 13 novel QTLs for BB resistance were also analyzed in this study, providing a new source for cloning of genes associated with BB resistance and molecular breeding in rice.
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Affiliation(s)
- Wu Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Junliang Zhao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Shaohong Zhang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Luo Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Tifeng Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Jingfang Dong
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Hua Fu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Yamei Ma
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Lian Zhou
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Jian Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Wei Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Qing Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
| | - Bin Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
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15
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Jiang N, Fu J, Zeng Q, Liang Y, Shi Y, Li Z, Xiao Y, He Z, Wu Y, Long Y, Wang K, Yang Y, Liu X, Peng J. Genome-wide association mapping for resistance to bacterial blight and bacterial leaf streak in rice. PLANTA 2021; 253:94. [PMID: 33830376 DOI: 10.1007/s00425-021-03612-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/24/2021] [Indexed: 06/12/2023]
Abstract
Using genome-wide SNP association mapping, a total of 77 and 7 loci were identified for rice bacterial blight and bacterial leaf streak resistance, respectively, which may facilitate rice resistance improvement. Bacterial blight (BB) and bacterial leaf streak (BLS) caused by Gram-negative bacteria Xanthomonas oryzae pv. oryzae (Xoo) and X. oryzae pv. oryzicola (Xoc), respectively, are two economically important diseases negatively affecting rice production. To mine new sources of resistance, a set of rice germplasm collection consisting of 895 re-sequenced accessions from the 3000 Rice Genomes Project (3 K RGP) were screened for BB and BLS resistance under field conditions. Higher levels of BB resistance were observed in aus/boro subgroup, whereas the japonica, temperate japonica and tropical japonica subgroups possessed comparatively high levels of resistance to BLS. A genome-wide association study (GWAS) mined 77 genomic loci significantly associated with BB and 7 with BLS resistance. The phenotypic variance (R2) explained by these loci ranged from 0.4 to 30.2%. Among the loci, 7 for BB resistance were co-localized with known BB resistance genes and one for BLS resistance overlapped with a previously reported BLS resistance QTL. A search for the candidates in other novel loci revealed several defense-related genes that may be involved in resistance to BB and BLS. High levels of phenotypic resistance to BB or BLS could be attributed to the accumulation of the resistance (R) alleles at the associated loci, indicating their potential value in rice resistance breeding via gene pyramiding. The GWAS analysis validated the known genes underlying BB and BLS resistance and identified novel loci that could enrich the current resistance gene pool. The resources with strong resistance and significant SNPs identified in this study are potentially useful in breeding for BB and BLS resistance.
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Affiliation(s)
- Nan Jiang
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops and College of Agronomy, Hunan Agricultural University, Changsha, China
- Huazhi Bio-Tech Company Ltd., Changsha, China
- Key Laboratory of Southern Rice Innovation and Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Company Ltd., Changsha, China
| | - Jun Fu
- Key Laboratory of Southern Rice Innovation and Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Company Ltd., Changsha, China
| | - Qin Zeng
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Yi Liang
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops and College of Agronomy, Hunan Agricultural University, Changsha, China
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Yanlong Shi
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Zhouwei Li
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Youlun Xiao
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Zhizhou He
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Yuntian Wu
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Yu Long
- Huazhi Bio-Tech Company Ltd., Changsha, China
| | - Kai Wang
- Key Laboratory of Southern Rice Innovation and Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Company Ltd., Changsha, China
| | - Yuanzhu Yang
- Key Laboratory of Southern Rice Innovation and Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Company Ltd., Changsha, China
| | - Xionglun Liu
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops and College of Agronomy, Hunan Agricultural University, Changsha, China.
| | - Junhua Peng
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops and College of Agronomy, Hunan Agricultural University, Changsha, China.
- Huazhi Bio-Tech Company Ltd., Changsha, China.
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16
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Identification of Bacterial Blight Resistance Loci in Rice ( Oryza sativa L.) against Diverse Xoo Thai Strains by Genome-Wide Association Study. PLANTS 2021; 10:plants10030518. [PMID: 33802191 PMCID: PMC8001028 DOI: 10.3390/plants10030518] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/24/2021] [Accepted: 03/05/2021] [Indexed: 01/08/2023]
Abstract
Bacterial leaf blight (BLB) is a serious disease affecting global rice agriculture caused by Xanthomonas oryzae pv. oryzae (Xoo). Most resistant rice lines are dependent on single genes that are vulnerable to resistance breakdown caused by pathogen mutation. Here we describe a genome-wide association study of 222 predominantly Thai rice accessions assayed by phenotypic screening against 20 Xoo isolates. Loci corresponding to BLB resistance were detected using >142,000 SNPs. We identified 147 genes according to employed significance thresholds across chromosomes 1–6, 8, 9 and 11. Moreover, 127 of identified genes are located on chromosomal regions outside estimated Linkage Disequilibrium influences of known resistance genes, potentially indicating novel BLB resistance markers. However, significantly associated SNPs only occurred across a maximum of six Xoo isolates indicating that the development of broad-spectrum Xoo strain varieties may prove challenging. Analyses indicated a range of gene functions likely underpinning BLB resistance. In accordance with previous studies of accession panels focusing on indica varieties, our germplasm displays large numbers of SNPs associated with resistance. Despite encouraging data suggesting that many loci contribute to resistance, our findings corroborate previous inferences that multi-strain resistant varieties may not be easily realised in breeding programs without resorting to multi-locus strategies.
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17
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Lu J, Wang C, Zeng D, Li J, Shi X, Shi Y, Zhou Y. Genome-Wide Association Study Dissects Resistance Loci against Bacterial Blight in a Diverse Rice Panel from the 3000 Rice Genomes Project. RICE (NEW YORK, N.Y.) 2021; 14:22. [PMID: 33638765 PMCID: PMC7914325 DOI: 10.1186/s12284-021-00462-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 02/12/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the most devastating bacterial diseases of rice in temperate and tropical regions. Breeding and deployment of resistant cultivars carrying major resistance (R) genes has been the most effective approach for BB management. However, because of specific interaction of each R gene with the product of the corresponding pathogen avirulence or effector gene, new pathogen strains that can overcome the deployed resistance often emerge rapidly. To deal with ever-evolving Xoo, it is necessary to identify novel R genes and resistance quantitative trait loci (QTL). RESULTS BB resistance of a diverse panel of 340 accessions from the 3000 Rice Genomes Project (3 K RGP) was evaluated by artificial inoculation with four representative Xoo strains, namely Z173 (C4), GD1358 (C5), V from China and PXO339 (P9a) from Philippines. Using the 3 K RG 4.8mio filtered SNP Dataset, a total of 11 QTL associated with BB resistance on chromosomes 4, 5, 11 and 12 were identified through a genome-wide association study (GWAS). Among them, eight resistance loci, which were narrowed down to relatively small genomic intervals, coincided with previously reported QTL or R genes, e.g. xa5, xa25, xa44(t). The other three QTL were putative novel loci associated with BB resistance. Linear regression analysis showed a dependence of BB lesion length on the number of favorable alleles, suggesting that pyramiding QTL using marker-assisted selection would be an effective approach for improving resistance. In addition, the Hap2 allele of LOC_Os11g46250 underlying qC5-11.1 was validated as positively regulating resistance against strain C5. CONCLUSIONS Our findings provide valuable information for the genetic improvement of BB resistance and application of germplasm resources in rice breeding programs.
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Affiliation(s)
- Jialing Lu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193 China
| | - Chunchao Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Dan Zeng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jianmin Li
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xiaorong Shi
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036 China
| | - Yingyao Shi
- College of Agronomy, Anhui Agricultural University, Hefei, 230036 China
| | - Yongli Zhou
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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18
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Huerta AI, Delorean EE, Bossa‐Castro AM, Tonnessen BW, Raghavan C, Corral R, Pérez‐Quintero ÁL, Leung H, Verdier V, Leach JE. Resistance and susceptibility QTL identified in a rice MAGIC population by screening with a minor-effect virulence factor from Xanthomonas oryzae pv. oryzae. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:51-63. [PMID: 32594636 PMCID: PMC7769240 DOI: 10.1111/pbi.13438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/02/2020] [Accepted: 06/17/2020] [Indexed: 05/07/2023]
Abstract
Effective and durable disease resistance for bacterial blight (BB) of rice is a continuous challenge due to the evolution and adaptation of the pathogen, Xanthomonas oryzae pv. oryzae (Xoo), on cultivated rice varieties. Fundamental to this pathogens' virulence is transcription activator-like (TAL) effectors that activate transcription of host genes and contribute differently to pathogen virulence, fitness or both. Host plant resistance is predicted to be more durable if directed at strategic virulence factors that impact both pathogen virulence and fitness. We characterized Tal7b, a minor-effect virulence factor that contributes incrementally to pathogen virulence in rice, is a fitness factor to the pathogen and is widely present in geographically diverse strains of Xoo. To identify sources of resistance to this conserved effector, we used a highly virulent strain carrying a plasmid borne copy of Tal7b to screen an indica multi-parent advanced generation inter-cross (MAGIC) population. Of 18 QTL revealed by genome-wide association studies and interval mapping analysis, six were specific to Tal7b (qBB-tal7b). Overall, 150 predicted Tal7b gene targets overlapped with qBB-tal7b QTL. Of these, 21 showed polymorphisms in the predicted effector binding element (EBE) site and 23 lost the EBE sequence altogether. Inoculation and bioinformatics studies suggest that the Tal7b target in one of the Tal7b-specific QTL, qBB-tal7b-8, is a disease susceptibility gene and that the resistance mechanism for this locus may be through loss of susceptibility. Our work demonstrates that minor-effect virulence factors significantly contribute to disease and provide a potential new approach to identify effective disease resistance.
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Affiliation(s)
- Alejandra I. Huerta
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
- Present address:
Department of Entomology and Plant PathologyNorth Carolina State UniversityRaleighNCUSA
| | - Emily E. Delorean
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
- Present address:
Department of Plant PathologyKansas State UniversityManhattanKS66506USA
| | - Ana M. Bossa‐Castro
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
| | - Bradley W. Tonnessen
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
- Present address:
Extension Plant SciencesNew Mexico State UniversityLas CrucesNM88003USA
| | - Chitra Raghavan
- Division Genetics and BiotechnologyInternational Rice Research InstituteManilaPhilippines
- Present address:
Queensland Department of Agriculture and FisheriesHorticulture and Forestry SciencesCairnsQLD4870Australia
| | - Rene Corral
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
| | | | - Hei Leung
- Division Genetics and BiotechnologyInternational Rice Research InstituteManilaPhilippines
| | | | - Jan E. Leach
- Department of Agricultural BiologyColorado State UniversityFort CollinsCOUSA
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19
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Scott MF, Ladejobi O, Amer S, Bentley AR, Biernaskie J, Boden SA, Clark M, Dell'Acqua M, Dixon LE, Filippi CV, Fradgley N, Gardner KA, Mackay IJ, O'Sullivan D, Percival-Alwyn L, Roorkiwal M, Singh RK, Thudi M, Varshney RK, Venturini L, Whan A, Cockram J, Mott R. Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity (Edinb) 2020; 125:396-416. [PMID: 32616877 PMCID: PMC7784848 DOI: 10.1038/s41437-020-0336-6] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 11/21/2022] Open
Abstract
Crop populations derived from experimental crosses enable the genetic dissection of complex traits and support modern plant breeding. Among these, multi-parent populations now play a central role. By mixing and recombining the genomes of multiple founders, multi-parent populations combine many commonly sought beneficial properties of genetic mapping populations. For example, they have high power and resolution for mapping quantitative trait loci, high genetic diversity and minimal population structure. Many multi-parent populations have been constructed in crop species, and their inbred germplasm and associated phenotypic and genotypic data serve as enduring resources. Their utility has grown from being a tool for mapping quantitative trait loci to a means of providing germplasm for breeding programmes. Genomics approaches, including de novo genome assemblies and gene annotations for the population founders, have allowed the imputation of rich sequence information into the descendent population, expanding the breadth of research and breeding applications of multi-parent populations. Here, we report recent successes from crop multi-parent populations in crops. We also propose an ideal genotypic, phenotypic and germplasm 'package' that multi-parent populations should feature to optimise their use as powerful community resources for crop research, development and breeding.
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Affiliation(s)
| | | | - Samer Amer
- University of Reading, Reading, RG6 6AH, UK
- Faculty of Agriculture, Alexandria University, Alexandria, 23714, Egypt
| | - Alison R Bentley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Jay Biernaskie
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK
| | - Scott A Boden
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia
| | | | | | - Laura E Dixon
- Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Carla V Filippi
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), INTA-CONICET, Nicolas Repetto y Los Reseros s/n, 1686, Hurlingham, Buenos Aires, Argentina
| | - Nick Fradgley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Keith A Gardner
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Ian J Mackay
- SRUC, West Mains Road, Kings Buildings, Edinburgh, EH9 3JG, UK
| | | | | | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rakesh Kumar Singh
- International Center for Biosaline Agriculture, Academic City, Dubai, United Arab Emirates
| | - Mahendar Thudi
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev Kumar Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Alex Whan
- CSIRO, GPO Box 1700, Canberra, ACT, 2601, Australia
| | - James Cockram
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, UK
| | - Richard Mott
- UCL Genetics Institute, Gower Street, London, WC1E 6BT, UK
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20
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Sattayachiti W, Wanchana S, Arikit S, Nubankoh P, Patarapuwadol S, Vanavichit A, Darwell CT, Toojinda T. Genome-Wide Association Analysis Identifies Resistance Loci for Bacterial Leaf Streak Resistance in Rice ( Oryza sativa L.). PLANTS (BASEL, SWITZERLAND) 2020; 9:E1673. [PMID: 33260392 PMCID: PMC7761455 DOI: 10.3390/plants9121673] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/14/2020] [Accepted: 11/26/2020] [Indexed: 12/31/2022]
Abstract
Bacterial leaf streak (BLS) caused by Xanthomonas oryzae pv. oryzicola (Xoc) is one of the most devastating diseases in rice production areas, especially in humid tropical and subtropical zones throughout Asia and worldwide. A genome-wide association study (GWAS) analysis conducted on a collection of 236 diverse rice accessions, mainly indica varieties, identified 12 quantitative trait loci (QTLs) on chromosomes 1, 2, 3, 4, 5, 8, 9 and 11, conferring resistance to five representative isolates of Thai Xoc. Of these, five QTLs conferred resistance to more than one Xoc isolates. Two QTLs, qBLS5.1 and qBLS2.3, were considered promising QTLs for broad-spectrum resistance to BLS. The xa5 gene was proposed as a potential candidate gene for qBLS5.1 and three genes, encoding pectinesterase inhibitor (OsPEI), eukaryotic zinc-binding protein (OsRAR1), and NDP epimerase function, were proposed as candidate genes for qBLS2.3. Results from this study provide an insight into the potential QTLs and candidate genes for BLS resistance in rice. The recessive xa5 gene is suggested as a potential candidate for strong influence on broad-spectrum resistance and as a focal target in rice breeding programs for BLS resistance.
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Affiliation(s)
- Wannapa Sattayachiti
- Plant Breeding Program, Faculty of Agriculture at Kamphaeng Saen, Kesetsart University, Nakhon Pathom 73140, Thailand;
| | - Samart Wanchana
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Siwaret Arikit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand; (S.A.); (A.V.)
- Rice Science Center, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
- Center of Excellence on Rice Precision Breeding for Food Security, Quality, and Nutrition, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
| | - Phakchana Nubankoh
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Sujin Patarapuwadol
- Department of Plant Pathology, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand;
| | - Apichart Vanavichit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand; (S.A.); (A.V.)
- Rice Science Center, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
- Center of Excellence on Rice Precision Breeding for Food Security, Quality, and Nutrition, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
| | - Clive T. Darwell
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Theerayut Toojinda
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
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21
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Satturu V, Vattikuti JL, J DS, Kumar A, Singh RK, M SP, Zaw H, Jubay ML, Satish L, Rathore A, Mulinti S, Lakshmi VG I, Fiyaz R. A, Chakraborty A, Thirunavukkarasu N. Multiple Genome Wide Association Mapping Models Identify Quantitative Trait Nucleotides for Brown Planthopper ( Nilaparvata lugens) Resistance in MAGIC Indica Population of Rice. Vaccines (Basel) 2020; 8:vaccines8040608. [PMID: 33066559 PMCID: PMC7712083 DOI: 10.3390/vaccines8040608] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/07/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023] Open
Abstract
Brown planthopper (BPH), one of the most important pests of the rice (Oryza sativa) crop, becomes catastrophic under severe infestations and causes up to 60% yield loss. The highly disastrous BPH biotype in the Indian sub-continent is Biotype 4, which also known as the South Asian Biotype. Though many resistance genes were mapped until now, the utility of the resistance genes in the breeding programs is limited due to the breakdown of resistance and emergence of new biotypes. Hence, to identify the resistance genes for this economically important pest, we have used a multi-parent advanced generation intercross (MAGIC) panel consisting of 391 lines developed from eight indica founder parents. The panel was phenotyped at the controlled conditions for two consecutive years. A set of 27,041 cured polymorphic single nucleotide polymorphism (SNPs) and across-year phenotypic data were used for the identification of marker–trait associations. Genome-wide association analysis was performed to find out consistent associations by employing four single and two multi-locus models. Sixty-one SNPs were consistently detected by all six models. A set of 190 significant marker-associations identified by fixed and random model circulating probability unification (FarmCPU) were considered for searching resistance candidate genes. The highest number of annotated genes were found in chromosome 6 followed by 5 and 1. Ninety-two annotated genes identified across chromosomes of which 13 genes are associated BPH resistance including NB-ARC (nucleotide binding in APAF-1, R gene products, and CED-4) domain-containing protein, NHL repeat-containing protein, LRR containing protein, and WRKY70. The significant SNPs and resistant lines identified from our study could be used for an accelerated breeding program to develop new BPH resistant cultivars.
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Affiliation(s)
- Vanisri Satturu
- Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad 500030, India; (D.S.J.); (I.L.V.)
- Correspondence: ; Tel.: +91-8186945838
| | - Jhansi Lakshmi Vattikuti
- Entomology, Pathology and Plant breeding Division, Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad 500030, India; (J.L.V.); (S.P.M.); (A.F.R.)
| | - Durga Sai J
- Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad 500030, India; (D.S.J.); (I.L.V.)
| | - Arvind Kumar
- Plant Breeding Division, International Rice Research Institute (IRRI)-South Asia Hub (SAH), Patancheru, Hyderabad 502324, India;
| | - Rakesh Kumar Singh
- Plant Breeding Division, International Rice Research Institute (IRRI), Metro Manila 1226, Philippines; (R.K.S.); (H.Z.); (M.L.J.)
- Program Leader and Principal Scientist (Plant Breeding), Crop Diversification and Genetics, International Center for Biosaline Agriculture, Academic City, Dubai 14660, UAE
| | - Srinivas Prasad M
- Entomology, Pathology and Plant breeding Division, Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad 500030, India; (J.L.V.); (S.P.M.); (A.F.R.)
| | - Hein Zaw
- Plant Breeding Division, International Rice Research Institute (IRRI), Metro Manila 1226, Philippines; (R.K.S.); (H.Z.); (M.L.J.)
- Department of Agriculture, Plant Biotechnology Center, Shwe Nanthar, Mingalardon Township, Yangon 11021, Myanmar
| | - Mona Liza Jubay
- Plant Breeding Division, International Rice Research Institute (IRRI), Metro Manila 1226, Philippines; (R.K.S.); (H.Z.); (M.L.J.)
| | - Lakkakula Satish
- Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel;
| | - Abhishek Rathore
- Agriculture Statistics Division, International Crops Research for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad 502324, India;
| | - Sreedhar Mulinti
- MFPI-Quality Control Lab, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad 500030, India;
| | - Ishwarya Lakshmi VG
- Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad 500030, India; (D.S.J.); (I.L.V.)
| | - Abdul Fiyaz R.
- Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad 500030, India; (D.S.J.); (I.L.V.)
| | - Animikha Chakraborty
- Plant Breeding Division, Indian Institute of Millets Research (ICAR-IIMR), Rajendranagar, Hyderabad 500030, India; (A.C.); (N.T.)
| | - Nepolean Thirunavukkarasu
- Plant Breeding Division, Indian Institute of Millets Research (ICAR-IIMR), Rajendranagar, Hyderabad 500030, India; (A.C.); (N.T.)
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22
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Nelson R. International Plant Pathology: Past and Future Contributions to Global Food Security. PHYTOPATHOLOGY 2020; 110:245-253. [PMID: 31680649 DOI: 10.1094/phyto-08-19-0300-ia] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The challenge of feeding the current and future world population is widely recognized, and the management of plant diseases has an important role in overcoming this. This paper explores the ways in which international plant pathology has contributed and continues to support efforts to secure adequate, safe and culturally appropriate nourishment and livelihoods for present and future generations. For the purposes of this paper, "international plant pathology" refers to the work that plant pathologists do when they work across international borders, with a focus on enhancing food security in tropical regions. Significant efforts involve public and philanthropic resources from the global North for addressing plant disease concerns in the global South, where food security is a legitimate and pressing concern. International disease management efforts are also aimed at protecting domestic food security, for example when pathogens of major staples migrate across national borders. In addition, some important crops are largely produced in tropical countries and consumed globally, including in industrialized countries; the diseases of these crops are of international interest, and they are largely managed by the private sector. Finally, host-microbe interactions are fascinating biological systems, and basic research on plant diseases of international relevance has often yielded insights and technologies with both scientific and practical implications.
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Affiliation(s)
- Rebecca Nelson
- School of Integrative Plant Sciences, Cornell University
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23
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Han Z, Hu G, Liu H, Liang F, Yang L, Zhao H, Zhang Q, Li Z, Zhang Q, Xing Y. Bin-based genome-wide association analyses improve power and resolution in QTL mapping and identify favorable alleles from multiple parents in a four-way MAGIC rice population. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:59-71. [PMID: 31549182 DOI: 10.1007/s00122-019-03440-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 09/17/2019] [Indexed: 05/25/2023]
Abstract
A whole genome bin map was developed for a MAGIC population. Association studies for heading date at bin level exhibited powerful QTL mapping and identified favorable alleles. The presumed advantages of multiparent advanced generation intercross (MAGIC) population in quantitative trait locus (QTL) mapping were not fully utilized in the previous studies in which genome-wide association studies (GWAS) were conducted at only single nucleotide polymorphism level. In this study, we genotyped a rice four-way MAGIC population of 247 F7 lines and their parents by sequencing. A total of 5934 bins with an average length of 65 kb were constructed and covered 97% of the genome. The MAGIC population showed low population structure and balanced parental contributions. A bin-based GWAS for heading date identified 4 QTLs in three environments. Three major QTLs were mapped exactly to the bins where the major heading date genes DTH3, Ghd7.1 and Ghd8 were located. Multiple comparisons showed that different parental alleles had varied genetic effects. Like DTH3, the alleles of the Guichao 2/YJSM, IR34 and Cypress had larger, intermediate and no effects, respectively. Based on comparative sequencing of 8 known heading date genes undetected in this MAGIC population, only Ghd7 exhibited diverse function among parents. The failure in Ghd7 mapping was well explained by its interaction with Hd1 because Ghd7 had no effects on heading date when combined with the nonfunctional hd1 carried by all four parents. Overall, bin-based GWAS have more mapping power and higher resolution with a MAGIC population and provide favorable alleles to breeders. The use of more diversified parents is encouraged to develop a MAGIC population for detecting more QTLs for important agronomical traits.
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Affiliation(s)
- Zhongmin Han
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Gang Hu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Hua Liu
- College of Agriculture, Yangtze University, Hubei Collaborative Innovation Center for Grain Industry, Jingzhou, 434000, China
| | - Famao Liang
- College of Agriculture, Yangtze University, Hubei Collaborative Innovation Center for Grain Industry, Jingzhou, 434000, China
| | - Lin Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Hu Zhao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Qinghua Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Zhixin Li
- College of Agriculture, Yangtze University, Hubei Collaborative Innovation Center for Grain Industry, Jingzhou, 434000, China
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agriculture University, Wuhan, 430070, China.
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24
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Descalsota-Empleo GI, Noraziyah AAS, Navea IP, Chung C, Dwiyanti MS, Labios RJD, Ikmal AM, Juanillas VM, Inabangan-Asilo MA, Amparado A, Reinke R, Cruz CMV, Chin JH, Swamy BPM. Genetic Dissection of Grain Nutritional Traits and Leaf Blight Resistance in Rice. Genes (Basel) 2019; 10:E30. [PMID: 30626141 PMCID: PMC6356647 DOI: 10.3390/genes10010030] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 12/27/2018] [Accepted: 12/28/2018] [Indexed: 11/16/2022] Open
Abstract
Colored rice is rich in nutrition and also a good source of valuable genes/quantitative trait loci (QTL) for nutrition, grain quality, and pest and disease resistance traits for use in rice breeding. Genome-wide association analysis using high-density single nucleotide polymorphism (SNP) is useful in precisely detecting QTLs and genes. We carried out genome-wide association analysis in 152 colored rice accessions, using 22,112 SNPs to map QTLs for nutritional, agronomic, and bacterial leaf blight (BLB) resistance traits. Wide variations and normal frequency distributions were observed for most of the traits except anthocyanin content and BLB resistance. The structural and principal component analysis revealed two subgroups. The linkage disequilibrium (LD) analysis showed 74.3% of the marker pairs in complete LD, with an average LD distance of 1000 kb and, interestingly, 36% of the LD pairs were less than 5 Kb, indicating high recombination in the panel. In total, 57 QTLs were identified for ten traits at p < 0.0001, and the phenotypic variance explained (PVE) by these QTLs varied from 9% to 18%. Interestingly, 30 (53%) QTLs were co-located with known or functionally-related genes. Some of the important candidate genes for grain Zinc (Zn) and BLB resistance were OsHMA9, OsMAPK6, OsNRAMP7, OsMADS13, and OsZFP252, and Xa1, Xa3, xa5, xa13 and xa26, respectively. Red rice genotype, Sayllebon, which is high in both Zn and anthocyanin content, could be a valuable material for a breeding program for nutritious rice. Overall, the QTLs identified in our study can be used for QTL pyramiding as well as genomic selection. Some of the novel QTLs can be further validated by fine mapping and functional characterization. The results show that pigmented rice is a valuable resource for mineral elements and antioxidant compounds; it can also provide novel alleles for disease resistance as well as for yield component traits. Therefore, large opportunities exist to further explore and exploit more colored rice accessions for use in breeding.
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Affiliation(s)
- Gwen Iris Descalsota-Empleo
- International Rice Research Institute (IRRI), Laguna 4031, Philippines.
- University of the Southern Mindanao, Kabacan, Cotabato 9407, Philippines.
| | | | - Ian Paul Navea
- International Rice Research Institute (IRRI), Laguna 4031, Philippines.
- Nousbo Corp. #4-107, 89 Seohoro, Gwonsun, Suwon 16614, Gyeonggi, Korea.
| | - Chongtae Chung
- Chungcheongnam-do Agricultural Research and Extension Services, 167, Chusa-ro, Shinam-myeon, Yesan-gun 32418, Chungcheongnam-do, Korea.
| | - Maria Stefanie Dwiyanti
- International Rice Research Institute (IRRI), Laguna 4031, Philippines.
- Applied Plant Genome Laboratory, Hokkaido University, Kita 9, Nishi 9, Kita-ku, Sapporo 060-8589, Japan.
| | | | - Asmuni Mohd Ikmal
- Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
| | | | | | - Amery Amparado
- International Rice Research Institute (IRRI), Laguna 4031, Philippines.
| | - Russell Reinke
- International Rice Research Institute (IRRI), Laguna 4031, Philippines.
| | | | - Joong Hyoun Chin
- Department of Integrative Bio-Industrial Engineering, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.
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