Cargando…
Genetic variation and association mapping for 12 agronomic traits in indica rice
BACKGROUND: Increasing rice (Oryza sativa L.) yield is a crucial challenge for modern agriculture. The ideal plant architecture is considered to be critical to enhance rice yield. Elite plant morphological traits should include compact plant type, short stature, few unproductive tillers, thick and s...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681178/ https://www.ncbi.nlm.nih.gov/pubmed/26673149 http://dx.doi.org/10.1186/s12864-015-2245-2 |
_version_ | 1782405715382501376 |
---|---|
author | Lu, Qing Zhang, Mengchen Niu, Xiaojun Wang, Shan Xu, Qun Feng, Yue Wang, Caihong Deng, Hongzhong Yuan, Xiaoping Yu, Hanyong Wang, Yiping Wei, Xinghua |
author_facet | Lu, Qing Zhang, Mengchen Niu, Xiaojun Wang, Shan Xu, Qun Feng, Yue Wang, Caihong Deng, Hongzhong Yuan, Xiaoping Yu, Hanyong Wang, Yiping Wei, Xinghua |
author_sort | Lu, Qing |
collection | PubMed |
description | BACKGROUND: Increasing rice (Oryza sativa L.) yield is a crucial challenge for modern agriculture. The ideal plant architecture is considered to be critical to enhance rice yield. Elite plant morphological traits should include compact plant type, short stature, few unproductive tillers, thick and sturdy stems and erect leaves. To reveal the genetic variations of important morphological traits, 523 germplasm accessions were genotyped using the Illumina custom-designed array containing 5,291 single nucleotide polymorphisms (SNPs) and phenotyped in two independent environments. Genome-wide association studies were performed to uncover the genotypic and phenotypic variations using a mixed linear model. RESULTS: In total, 126 and 172 significant loci were identified and these loci explained an average of 34.45 % and 39.09 % of the phenotypic variance in two environments, respectively, and 16 of 298 (~5.37 %) loci were detected across the two environments. For the 16 loci, 423 candidate genes were predicted in a 200-kb region (±100 kb of the peak SNP). Expression-level analyses identified four candidate genes as the most promising regulators of tiller angle. Known (NAL1 and Rc) and new significant loci showed pleiotropy and gene linkage. In addition, a long genome region covering ~1.6 Mb on chromosome 11 was identified, which may be critical for rice leaf architecture because of a high association with flag leaf length and the ratio of flag leaf length and width. The pyramid effect of the elite alleles indicated that these significant loci could be beneficial for rice plant architecture improvements in the future. Finally, 37 elite varieties were chosen as breeding donors for further rice plant architectural modifications. CONCLUSIONS: This study detected multiple novel loci and candidate genes related to rice morphological traits, and the work demonstrated that genome-wide association studies are powerful strategies for uncovering the genetic variations of complex traits and identifying candidate genes in rice, even though the linkage disequilibrium decayed slowly in self-pollinating species. Future research will focus on the biological validation of the candidate genes, and elite varieties will also be of interest in genome selection and breeding by design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2245-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4681178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46811782015-12-17 Genetic variation and association mapping for 12 agronomic traits in indica rice Lu, Qing Zhang, Mengchen Niu, Xiaojun Wang, Shan Xu, Qun Feng, Yue Wang, Caihong Deng, Hongzhong Yuan, Xiaoping Yu, Hanyong Wang, Yiping Wei, Xinghua BMC Genomics Research Article BACKGROUND: Increasing rice (Oryza sativa L.) yield is a crucial challenge for modern agriculture. The ideal plant architecture is considered to be critical to enhance rice yield. Elite plant morphological traits should include compact plant type, short stature, few unproductive tillers, thick and sturdy stems and erect leaves. To reveal the genetic variations of important morphological traits, 523 germplasm accessions were genotyped using the Illumina custom-designed array containing 5,291 single nucleotide polymorphisms (SNPs) and phenotyped in two independent environments. Genome-wide association studies were performed to uncover the genotypic and phenotypic variations using a mixed linear model. RESULTS: In total, 126 and 172 significant loci were identified and these loci explained an average of 34.45 % and 39.09 % of the phenotypic variance in two environments, respectively, and 16 of 298 (~5.37 %) loci were detected across the two environments. For the 16 loci, 423 candidate genes were predicted in a 200-kb region (±100 kb of the peak SNP). Expression-level analyses identified four candidate genes as the most promising regulators of tiller angle. Known (NAL1 and Rc) and new significant loci showed pleiotropy and gene linkage. In addition, a long genome region covering ~1.6 Mb on chromosome 11 was identified, which may be critical for rice leaf architecture because of a high association with flag leaf length and the ratio of flag leaf length and width. The pyramid effect of the elite alleles indicated that these significant loci could be beneficial for rice plant architecture improvements in the future. Finally, 37 elite varieties were chosen as breeding donors for further rice plant architectural modifications. CONCLUSIONS: This study detected multiple novel loci and candidate genes related to rice morphological traits, and the work demonstrated that genome-wide association studies are powerful strategies for uncovering the genetic variations of complex traits and identifying candidate genes in rice, even though the linkage disequilibrium decayed slowly in self-pollinating species. Future research will focus on the biological validation of the candidate genes, and elite varieties will also be of interest in genome selection and breeding by design. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2245-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-16 /pmc/articles/PMC4681178/ /pubmed/26673149 http://dx.doi.org/10.1186/s12864-015-2245-2 Text en © Lu et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lu, Qing Zhang, Mengchen Niu, Xiaojun Wang, Shan Xu, Qun Feng, Yue Wang, Caihong Deng, Hongzhong Yuan, Xiaoping Yu, Hanyong Wang, Yiping Wei, Xinghua Genetic variation and association mapping for 12 agronomic traits in indica rice |
title | Genetic variation and association mapping for 12 agronomic traits in indica rice |
title_full | Genetic variation and association mapping for 12 agronomic traits in indica rice |
title_fullStr | Genetic variation and association mapping for 12 agronomic traits in indica rice |
title_full_unstemmed | Genetic variation and association mapping for 12 agronomic traits in indica rice |
title_short | Genetic variation and association mapping for 12 agronomic traits in indica rice |
title_sort | genetic variation and association mapping for 12 agronomic traits in indica rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681178/ https://www.ncbi.nlm.nih.gov/pubmed/26673149 http://dx.doi.org/10.1186/s12864-015-2245-2 |
work_keys_str_mv | AT luqing geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT zhangmengchen geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT niuxiaojun geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT wangshan geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT xuqun geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT fengyue geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT wangcaihong geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT denghongzhong geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT yuanxiaoping geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT yuhanyong geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT wangyiping geneticvariationandassociationmappingfor12agronomictraitsinindicarice AT weixinghua geneticvariationandassociationmappingfor12agronomictraitsinindicarice |