Cargando…
QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations
BACKGROUND: The different leaf type associated traits of soybean (Glycine max L.) including leaf area, leaf length, leaf width, leaf shape and petiole length are considered to be associated with seed yield. In order to identify quantitative trait loci (QTLs) affecting leaf type traits, two advanced...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444683/ https://www.ncbi.nlm.nih.gov/pubmed/30940069 http://dx.doi.org/10.1186/s12864-019-5610-8 |
_version_ | 1783408068643520512 |
---|---|
author | Wang, Liang Cheng, Yanbo Ma, Qibin Mu, Yinghui Huang, Zhifeng Xia, Qiuju Zhang, Gengyun Nian, Hai |
author_facet | Wang, Liang Cheng, Yanbo Ma, Qibin Mu, Yinghui Huang, Zhifeng Xia, Qiuju Zhang, Gengyun Nian, Hai |
author_sort | Wang, Liang |
collection | PubMed |
description | BACKGROUND: The different leaf type associated traits of soybean (Glycine max L.) including leaf area, leaf length, leaf width, leaf shape and petiole length are considered to be associated with seed yield. In order to identify quantitative trait loci (QTLs) affecting leaf type traits, two advanced recombinant inbred line (RIL, ZH, Zhonghuang 24 × Huaxia 3; GB, Guizao 1 × Brazil 13) populations were introduced to score phenotypic values in plants across nine different environments (years, seasons, locations and soybean growth stages). Two restriction site-associated DNA sequencing (RAD-seq) based high-density genetic linkage maps with an average distance of 1.00 centimorgan (cM) between adjacent bin markers were utilized for QTL fine mapping. RESULTS: Correlation analysis showed that most of the traits were correlated with each other and regulated both by hereditary and environmental factors. A total of 190 QTLs were identified for leaf type associated traits in the two populations, of which 14 loci were found to be environmentally stable. Moreover, these detected QTLs were categorized into 34 QTL hotspots, and four important QTL hotspots with phenotypic variance ranging from 3.89–23.13% were highlighted. Furthermore, Glyma04g05840, Glyma19g37820, Glyma14g07140 and Glyma19g39340 were predicted in the intervals of the stable loci and important QTL hotspots for leaf type traits by adopting Gene Ontology (GO) enrichment analysis. CONCLUSIONS: Our findings of the QTLs and the putative genes will be beneficial to gain new insights into the genetic basis for soybean leaf type traits and may further accelerate the breeding process for reasonable leaf type soybean. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5610-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6444683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64446832019-04-12 QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations Wang, Liang Cheng, Yanbo Ma, Qibin Mu, Yinghui Huang, Zhifeng Xia, Qiuju Zhang, Gengyun Nian, Hai BMC Genomics Research Article BACKGROUND: The different leaf type associated traits of soybean (Glycine max L.) including leaf area, leaf length, leaf width, leaf shape and petiole length are considered to be associated with seed yield. In order to identify quantitative trait loci (QTLs) affecting leaf type traits, two advanced recombinant inbred line (RIL, ZH, Zhonghuang 24 × Huaxia 3; GB, Guizao 1 × Brazil 13) populations were introduced to score phenotypic values in plants across nine different environments (years, seasons, locations and soybean growth stages). Two restriction site-associated DNA sequencing (RAD-seq) based high-density genetic linkage maps with an average distance of 1.00 centimorgan (cM) between adjacent bin markers were utilized for QTL fine mapping. RESULTS: Correlation analysis showed that most of the traits were correlated with each other and regulated both by hereditary and environmental factors. A total of 190 QTLs were identified for leaf type associated traits in the two populations, of which 14 loci were found to be environmentally stable. Moreover, these detected QTLs were categorized into 34 QTL hotspots, and four important QTL hotspots with phenotypic variance ranging from 3.89–23.13% were highlighted. Furthermore, Glyma04g05840, Glyma19g37820, Glyma14g07140 and Glyma19g39340 were predicted in the intervals of the stable loci and important QTL hotspots for leaf type traits by adopting Gene Ontology (GO) enrichment analysis. CONCLUSIONS: Our findings of the QTLs and the putative genes will be beneficial to gain new insights into the genetic basis for soybean leaf type traits and may further accelerate the breeding process for reasonable leaf type soybean. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5610-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-02 /pmc/articles/PMC6444683/ /pubmed/30940069 http://dx.doi.org/10.1186/s12864-019-5610-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Liang Cheng, Yanbo Ma, Qibin Mu, Yinghui Huang, Zhifeng Xia, Qiuju Zhang, Gengyun Nian, Hai QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title | QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title_full | QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title_fullStr | QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title_full_unstemmed | QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title_short | QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations |
title_sort | qtl fine-mapping of soybean (glycine max l.) leaf type associated traits in two rils populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444683/ https://www.ncbi.nlm.nih.gov/pubmed/30940069 http://dx.doi.org/10.1186/s12864-019-5610-8 |
work_keys_str_mv | AT wangliang qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT chengyanbo qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT maqibin qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT muyinghui qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT huangzhifeng qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT xiaqiuju qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT zhanggengyun qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations AT nianhai qtlfinemappingofsoybeanglycinemaxlleaftypeassociatedtraitsintworilspopulations |