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Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population
Maize (Zea mays) root system architecture (RSA) mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study, a set of 204 recombinant inbred lines (RILs) was derived from the widely adapted Chinese hybrid ZD958(Zheng58 × Chang7‐2), genotyped by sequencing (GBS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066741/ https://www.ncbi.nlm.nih.gov/pubmed/26593310 http://dx.doi.org/10.1111/jipb.12452 |
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author | Song, Weibin Wang, Baobao Hauck, Andrew L Dong, Xiaomei Li, Jieping Lai, Jinsheng |
author_facet | Song, Weibin Wang, Baobao Hauck, Andrew L Dong, Xiaomei Li, Jieping Lai, Jinsheng |
author_sort | Song, Weibin |
collection | PubMed |
description | Maize (Zea mays) root system architecture (RSA) mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study, a set of 204 recombinant inbred lines (RILs) was derived from the widely adapted Chinese hybrid ZD958(Zheng58 × Chang7‐2), genotyped by sequencing (GBS) and evaluated as seedlings for 24 RSA related traits divided into primary, seminal and total root classes. Significant differences between the means of the parental phenotypes were detected for 18 traits, and extensive transgressive segregation in the RIL population was observed for all traits. Moderate to strong relationships among the traits were discovered. A total of 62 quantitative trait loci (QTL) were identified that individually explained from 1.6% to 11.6% (total root dry weight/total seedling shoot dry weight) of the phenotypic variation. Eighteen, 24 and 20 QTL were identified for primary, seminal and total root classes of traits, respectively. We found hotspots of 5, 3, 4 and 12 QTL in maize chromosome bins 2.06, 3.02‐03, 9.02‐04, and 9.05‐06, respectively, implicating the presence of root gene clusters or pleiotropic effects. These results characterized the phenotypic variation and genetic architecture of seedling RSA in a population derived from a successful maize hybrid. |
format | Online Article Text |
id | pubmed-5066741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50667412016-11-01 Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population Song, Weibin Wang, Baobao Hauck, Andrew L Dong, Xiaomei Li, Jieping Lai, Jinsheng J Integr Plant Biol Research Articles Maize (Zea mays) root system architecture (RSA) mediates the key functions of plant anchorage and acquisition of nutrients and water. In this study, a set of 204 recombinant inbred lines (RILs) was derived from the widely adapted Chinese hybrid ZD958(Zheng58 × Chang7‐2), genotyped by sequencing (GBS) and evaluated as seedlings for 24 RSA related traits divided into primary, seminal and total root classes. Significant differences between the means of the parental phenotypes were detected for 18 traits, and extensive transgressive segregation in the RIL population was observed for all traits. Moderate to strong relationships among the traits were discovered. A total of 62 quantitative trait loci (QTL) were identified that individually explained from 1.6% to 11.6% (total root dry weight/total seedling shoot dry weight) of the phenotypic variation. Eighteen, 24 and 20 QTL were identified for primary, seminal and total root classes of traits, respectively. We found hotspots of 5, 3, 4 and 12 QTL in maize chromosome bins 2.06, 3.02‐03, 9.02‐04, and 9.05‐06, respectively, implicating the presence of root gene clusters or pleiotropic effects. These results characterized the phenotypic variation and genetic architecture of seedling RSA in a population derived from a successful maize hybrid. John Wiley and Sons Inc. 2016-01-14 2016-03 /pmc/articles/PMC5066741/ /pubmed/26593310 http://dx.doi.org/10.1111/jipb.12452 Text en © 2015 The Authors. Journal of Integrative Plant Biology published by Wiley Publishing Asia Pty Ltd on behalf of Institute of Botany, Chinese Academy of Sciences This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Song, Weibin Wang, Baobao Hauck, Andrew L Dong, Xiaomei Li, Jieping Lai, Jinsheng Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title | Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title_full | Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title_fullStr | Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title_full_unstemmed | Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title_short | Genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
title_sort | genetic dissection of maize seedling root system architecture traits using an ultra‐high density bin‐map and a recombinant inbred line population |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066741/ https://www.ncbi.nlm.nih.gov/pubmed/26593310 http://dx.doi.org/10.1111/jipb.12452 |
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