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Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping
Kernel size‐related traits are the most direct traits correlating with grain yield. The genetic basis of three kernel traits of maize, kernel length (KL), kernel width (KW) and kernel thickness (KT), was investigated in an association panel and a biparental population. A total of 21 single nucleotid...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920160/ https://www.ncbi.nlm.nih.gov/pubmed/31199064 http://dx.doi.org/10.1111/pbi.13188 |
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author | Liu, Min Tan, Xiaolong Yang, Yan Liu, Peng Zhang, Xiaoxiang Zhang, Yinchao Wang, Lei Hu, Yu Ma, Langlang Li, Zhaoling Zhang, Yanling Zou, Chaoying Lin, Haijian Gao, Shibin Lee, Michael Lübberstedt, Thomas Pan, Guangtang Shen, Yaou |
author_facet | Liu, Min Tan, Xiaolong Yang, Yan Liu, Peng Zhang, Xiaoxiang Zhang, Yinchao Wang, Lei Hu, Yu Ma, Langlang Li, Zhaoling Zhang, Yanling Zou, Chaoying Lin, Haijian Gao, Shibin Lee, Michael Lübberstedt, Thomas Pan, Guangtang Shen, Yaou |
author_sort | Liu, Min |
collection | PubMed |
description | Kernel size‐related traits are the most direct traits correlating with grain yield. The genetic basis of three kernel traits of maize, kernel length (KL), kernel width (KW) and kernel thickness (KT), was investigated in an association panel and a biparental population. A total of 21 single nucleotide polymorphisms (SNPs) were detected to be most significantly (P < 2.25 × 10(−6)) associated with these three traits in the association panel under four environments. Furthermore, 50 quantitative trait loci (QTL) controlling these traits were detected in seven environments in the intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population, of which eight were repetitively identified in at least three environments. Combining the two mapping populations revealed that 56 SNPs (P < 1 × 10(−3)) fell within 18 of the QTL confidence intervals. According to the top significant SNPs, stable‐effect SNPs and the co‐localized SNPs by association analysis and linkage mapping, a total of 73 candidate genes were identified, regulating seed development. Additionally, seven miRNAs were found to situate within the linkage disequilibrium (LD) regions of the co‐localized SNPs, of which zma‐miR164e was demonstrated to cleave the mRNAs of Arabidopsis CUC1,CUC2 and NAC6 in vitro. Overexpression of zma‐miR164e resulted in the down‐regulation of these genes above and the failure of seed formation in Arabidopsis pods, with the increased branch number. These findings provide insights into the mechanism of seed development and the improvement of molecular marker‐assisted selection (MAS) for high‐yield breeding in maize. |
format | Online Article Text |
id | pubmed-6920160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69201602019-12-27 Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping Liu, Min Tan, Xiaolong Yang, Yan Liu, Peng Zhang, Xiaoxiang Zhang, Yinchao Wang, Lei Hu, Yu Ma, Langlang Li, Zhaoling Zhang, Yanling Zou, Chaoying Lin, Haijian Gao, Shibin Lee, Michael Lübberstedt, Thomas Pan, Guangtang Shen, Yaou Plant Biotechnol J Research Articles Kernel size‐related traits are the most direct traits correlating with grain yield. The genetic basis of three kernel traits of maize, kernel length (KL), kernel width (KW) and kernel thickness (KT), was investigated in an association panel and a biparental population. A total of 21 single nucleotide polymorphisms (SNPs) were detected to be most significantly (P < 2.25 × 10(−6)) associated with these three traits in the association panel under four environments. Furthermore, 50 quantitative trait loci (QTL) controlling these traits were detected in seven environments in the intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population, of which eight were repetitively identified in at least three environments. Combining the two mapping populations revealed that 56 SNPs (P < 1 × 10(−3)) fell within 18 of the QTL confidence intervals. According to the top significant SNPs, stable‐effect SNPs and the co‐localized SNPs by association analysis and linkage mapping, a total of 73 candidate genes were identified, regulating seed development. Additionally, seven miRNAs were found to situate within the linkage disequilibrium (LD) regions of the co‐localized SNPs, of which zma‐miR164e was demonstrated to cleave the mRNAs of Arabidopsis CUC1,CUC2 and NAC6 in vitro. Overexpression of zma‐miR164e resulted in the down‐regulation of these genes above and the failure of seed formation in Arabidopsis pods, with the increased branch number. These findings provide insights into the mechanism of seed development and the improvement of molecular marker‐assisted selection (MAS) for high‐yield breeding in maize. John Wiley and Sons Inc. 2019-06-26 2020-01 /pmc/articles/PMC6920160/ /pubmed/31199064 http://dx.doi.org/10.1111/pbi.13188 Text en © 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Min Tan, Xiaolong Yang, Yan Liu, Peng Zhang, Xiaoxiang Zhang, Yinchao Wang, Lei Hu, Yu Ma, Langlang Li, Zhaoling Zhang, Yanling Zou, Chaoying Lin, Haijian Gao, Shibin Lee, Michael Lübberstedt, Thomas Pan, Guangtang Shen, Yaou Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title | Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title_full | Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title_fullStr | Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title_full_unstemmed | Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title_short | Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
title_sort | analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920160/ https://www.ncbi.nlm.nih.gov/pubmed/31199064 http://dx.doi.org/10.1111/pbi.13188 |
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