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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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