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Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize

Dissecting the genetic basis of yield traits in hybrid populations and identifying the candidate genes are important for molecular crop breeding. In this study, a BC1F3:4 population, the line per se (LPS) population, was constructed by using elite inbred lines Zheng58 and PH4CV as the parental lines...

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Autores principales: Ma, Yuting, Li, Dongdong, Xu, Zhenxiang, Gu, Riliang, Wang, Pingxi, Fu, Junjie, Wang, Jianhua, Du, Wanli, Zhang, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102962/
https://www.ncbi.nlm.nih.gov/pubmed/35563470
http://dx.doi.org/10.3390/ijms23095074
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author Ma, Yuting
Li, Dongdong
Xu, Zhenxiang
Gu, Riliang
Wang, Pingxi
Fu, Junjie
Wang, Jianhua
Du, Wanli
Zhang, Hongwei
author_facet Ma, Yuting
Li, Dongdong
Xu, Zhenxiang
Gu, Riliang
Wang, Pingxi
Fu, Junjie
Wang, Jianhua
Du, Wanli
Zhang, Hongwei
author_sort Ma, Yuting
collection PubMed
description Dissecting the genetic basis of yield traits in hybrid populations and identifying the candidate genes are important for molecular crop breeding. In this study, a BC1F3:4 population, the line per se (LPS) population, was constructed by using elite inbred lines Zheng58 and PH4CV as the parental lines. The population was genotyped with 55,000 SNPs and testcrossed to Chang7-2 and PH6WC (two testers) to construct two testcross (TC) populations. The three populations were evaluated for hundred kernel weight (HKW) and yield per plant (YPP) in multiple environments. Marker–trait association analysis (MTA) identified 24 to 151 significant SNPs in the three populations. Comparison of the significant SNPs identified common and specific quantitative trait locus/loci (QTL) in the LPS and TC populations. Genetic feature analysis of these significant SNPs proved that these SNPs were associated with the tested traits and could be used to predict trait performance of both LPS and TC populations. RNA-seq analysis was performed using maize hybrid varieties and their parental lines, and differentially expressed genes (DEGs) between hybrid varieties and parental lines were identified. Comparison of the chromosome positions of DEGs with those of significant SNPs detected in the TC population identified potential candidate genes that might be related to hybrid performance. Combining RNA-seq analysis and MTA results identified candidate genes for hybrid performance, providing information that could be useful for maize hybrid breeding.
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spelling pubmed-91029622022-05-14 Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize Ma, Yuting Li, Dongdong Xu, Zhenxiang Gu, Riliang Wang, Pingxi Fu, Junjie Wang, Jianhua Du, Wanli Zhang, Hongwei Int J Mol Sci Article Dissecting the genetic basis of yield traits in hybrid populations and identifying the candidate genes are important for molecular crop breeding. In this study, a BC1F3:4 population, the line per se (LPS) population, was constructed by using elite inbred lines Zheng58 and PH4CV as the parental lines. The population was genotyped with 55,000 SNPs and testcrossed to Chang7-2 and PH6WC (two testers) to construct two testcross (TC) populations. The three populations were evaluated for hundred kernel weight (HKW) and yield per plant (YPP) in multiple environments. Marker–trait association analysis (MTA) identified 24 to 151 significant SNPs in the three populations. Comparison of the significant SNPs identified common and specific quantitative trait locus/loci (QTL) in the LPS and TC populations. Genetic feature analysis of these significant SNPs proved that these SNPs were associated with the tested traits and could be used to predict trait performance of both LPS and TC populations. RNA-seq analysis was performed using maize hybrid varieties and their parental lines, and differentially expressed genes (DEGs) between hybrid varieties and parental lines were identified. Comparison of the chromosome positions of DEGs with those of significant SNPs detected in the TC population identified potential candidate genes that might be related to hybrid performance. Combining RNA-seq analysis and MTA results identified candidate genes for hybrid performance, providing information that could be useful for maize hybrid breeding. MDPI 2022-05-03 /pmc/articles/PMC9102962/ /pubmed/35563470 http://dx.doi.org/10.3390/ijms23095074 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
Ma, Yuting
Li, Dongdong
Xu, Zhenxiang
Gu, Riliang
Wang, Pingxi
Fu, Junjie
Wang, Jianhua
Du, Wanli
Zhang, Hongwei
Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title_full Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title_fullStr Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title_full_unstemmed Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title_short Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize
title_sort dissection of the genetic basis of yield traits in line per se and testcross populations and identification of candidate genes for hybrid performance in maize
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102962/
https://www.ncbi.nlm.nih.gov/pubmed/35563470
http://dx.doi.org/10.3390/ijms23095074
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