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Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice
Grain number per panicle (GNPP), determined mainly by panicle branching, is vital for rice yield. The dissection of the genetic basis underlying GNPP could help to improve rice yield. However, genetic resources, including quantitative trait loci (QTL) or genes for breeders to enhance rice GNPP, are...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658369/ https://www.ncbi.nlm.nih.gov/pubmed/36362403 http://dx.doi.org/10.3390/ijms232113617 |
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author | Li, Peiyuan Li, Qing Lu, Xueli Dai, Liping Yang, Long Hong, Yifeng Yan, Tiancai Shen, Lan Zhang, Qiang Ren, Deyong Zhu, Li Hu, Jiang Dong, Guojun Zhang, Guangheng Qian, Qian Zeng, Dali |
author_facet | Li, Peiyuan Li, Qing Lu, Xueli Dai, Liping Yang, Long Hong, Yifeng Yan, Tiancai Shen, Lan Zhang, Qiang Ren, Deyong Zhu, Li Hu, Jiang Dong, Guojun Zhang, Guangheng Qian, Qian Zeng, Dali |
author_sort | Li, Peiyuan |
collection | PubMed |
description | Grain number per panicle (GNPP), determined mainly by panicle branching, is vital for rice yield. The dissection of the genetic basis underlying GNPP could help to improve rice yield. However, genetic resources, including quantitative trait loci (QTL) or genes for breeders to enhance rice GNPP, are still limited. Here, we conducted the genome-wide association study (GWAS) on the GNPP, primary branch number (PBN), and secondary branch number (SBN) of 468 rice accessions. We detected a total of 18 QTLs, including six for GNPP, six for PBN, and six for SBN, in the whole panel and the indica and japonica subpanels of 468 accessions. More importantly, qPSG1 was a common QTL for GNPP, PBN, and SBN and was demonstrated by chromosome segment substitution lines (CSSLs). Considering gene annotation, expression, and haplotype analysis, seven novel and strong GNPP-related candidate genes were mined from qPSG1. Our results provide clues to elucidate the molecular regulatory network of GNPP. The identified QTLs and candidate genes will contribute to the improvement of GNPP and rice yield via molecular marker-assisted selection (MAS) breeding and genetic engineering techniques. |
format | Online Article Text |
id | pubmed-9658369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96583692022-11-15 Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice Li, Peiyuan Li, Qing Lu, Xueli Dai, Liping Yang, Long Hong, Yifeng Yan, Tiancai Shen, Lan Zhang, Qiang Ren, Deyong Zhu, Li Hu, Jiang Dong, Guojun Zhang, Guangheng Qian, Qian Zeng, Dali Int J Mol Sci Article Grain number per panicle (GNPP), determined mainly by panicle branching, is vital for rice yield. The dissection of the genetic basis underlying GNPP could help to improve rice yield. However, genetic resources, including quantitative trait loci (QTL) or genes for breeders to enhance rice GNPP, are still limited. Here, we conducted the genome-wide association study (GWAS) on the GNPP, primary branch number (PBN), and secondary branch number (SBN) of 468 rice accessions. We detected a total of 18 QTLs, including six for GNPP, six for PBN, and six for SBN, in the whole panel and the indica and japonica subpanels of 468 accessions. More importantly, qPSG1 was a common QTL for GNPP, PBN, and SBN and was demonstrated by chromosome segment substitution lines (CSSLs). Considering gene annotation, expression, and haplotype analysis, seven novel and strong GNPP-related candidate genes were mined from qPSG1. Our results provide clues to elucidate the molecular regulatory network of GNPP. The identified QTLs and candidate genes will contribute to the improvement of GNPP and rice yield via molecular marker-assisted selection (MAS) breeding and genetic engineering techniques. MDPI 2022-11-06 /pmc/articles/PMC9658369/ /pubmed/36362403 http://dx.doi.org/10.3390/ijms232113617 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Peiyuan Li, Qing Lu, Xueli Dai, Liping Yang, Long Hong, Yifeng Yan, Tiancai Shen, Lan Zhang, Qiang Ren, Deyong Zhu, Li Hu, Jiang Dong, Guojun Zhang, Guangheng Qian, Qian Zeng, Dali Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title | Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title_full | Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title_fullStr | Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title_full_unstemmed | Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title_short | Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice |
title_sort | genome-wide association study reveals novel qtls and candidate genes for grain number in rice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658369/ https://www.ncbi.nlm.nih.gov/pubmed/36362403 http://dx.doi.org/10.3390/ijms232113617 |
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