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Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS
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 evaluat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436437/ https://www.ncbi.nlm.nih.gov/pubmed/37596557 http://dx.doi.org/10.1186/s12870-023-04412-7 |
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author | Zhu, Xiaoyang Chen, Lei Zhang, Zhanying Li, Jinjie Zhang, Hongliang Li, Zichao Pan, Yinghua Wang, Xueqiang |
author_facet | Zhu, Xiaoyang Chen, Lei Zhang, Zhanying Li, Jinjie Zhang, Hongliang Li, Zichao Pan, Yinghua Wang, Xueqiang |
author_sort | Zhu, Xiaoyang |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04412-7. |
format | Online Article Text |
id | pubmed-10436437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104364372023-08-19 Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS Zhu, Xiaoyang Chen, Lei Zhang, Zhanying Li, Jinjie Zhang, Hongliang Li, Zichao Pan, Yinghua Wang, Xueqiang BMC Plant Biol Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04412-7. BioMed Central 2023-08-18 /pmc/articles/PMC10436437/ /pubmed/37596557 http://dx.doi.org/10.1186/s12870-023-04412-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhu, Xiaoyang Chen, Lei Zhang, Zhanying Li, Jinjie Zhang, Hongliang Li, Zichao Pan, Yinghua Wang, Xueqiang Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title | Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title_full | Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title_fullStr | Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title_full_unstemmed | Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title_short | Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS |
title_sort | genetic-based dissection of resistance to bacterial leaf streak in rice by gwas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436437/ https://www.ncbi.nlm.nih.gov/pubmed/37596557 http://dx.doi.org/10.1186/s12870-023-04412-7 |
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