Cargando…

QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map

High-density genetic linkage maps are essential for precise mapping quantitative trait loci (QTL) in wheat (Triticum aestivum L.). In this study, a high-density genetic linkage map consisted of 6312 SNP and SSR markers was developed to identify QTL controlling kernel size and weight, based on a reco...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Qiannan, Zhang, Xilan, Zhang, Wei, Zhang, Na, Song, Liqiang, Liu, Lei, Xue, Xin, Liu, Guotao, Liu, Jiajia, Meng, Deyuan, Zhi, Liya, Ji, Jun, Zhao, Xueqiang, Yang, Chunling, Tong, Yiping, Liu, Zhiyong, Li, Junming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193082/
https://www.ncbi.nlm.nih.gov/pubmed/30364249
http://dx.doi.org/10.3389/fpls.2018.01484
_version_ 1783364009294036992
author Su, Qiannan
Zhang, Xilan
Zhang, Wei
Zhang, Na
Song, Liqiang
Liu, Lei
Xue, Xin
Liu, Guotao
Liu, Jiajia
Meng, Deyuan
Zhi, Liya
Ji, Jun
Zhao, Xueqiang
Yang, Chunling
Tong, Yiping
Liu, Zhiyong
Li, Junming
author_facet Su, Qiannan
Zhang, Xilan
Zhang, Wei
Zhang, Na
Song, Liqiang
Liu, Lei
Xue, Xin
Liu, Guotao
Liu, Jiajia
Meng, Deyuan
Zhi, Liya
Ji, Jun
Zhao, Xueqiang
Yang, Chunling
Tong, Yiping
Liu, Zhiyong
Li, Junming
author_sort Su, Qiannan
collection PubMed
description High-density genetic linkage maps are essential for precise mapping quantitative trait loci (QTL) in wheat (Triticum aestivum L.). In this study, a high-density genetic linkage map consisted of 6312 SNP and SSR markers was developed to identify QTL controlling kernel size and weight, based on a recombinant inbred line (RIL) population derived from the cross of Shixin828 and Kenong2007. Seventy-eight putative QTL for kernel length (KL), kernel width (KW), kernel diameter ratio (KDR), and thousand kernel weight (TKW) were detected over eight environments by inclusive composite interval mapping (ICIM). Of these, six stable QTL were identified in more than four environments, including two for KL (qKL-2D and qKL-6B.2), one for KW (qKW-2D.1), one for KDR (qKDR-2D.1) and two for TKW (qTKW-5A and qTKW-5B.2). Unconditional and multivariable conditional QTL mapping for TKW with respect to TKW component (TKWC) revealed that kernel dimensions played an important role in regulating the kernel weight. Seven QTL-rich genetic regions including seventeen QTL were found on chromosomes 1A (2), 2D, 3A, 4B and 5B (2) exhibiting pleiotropic effects. In particular, clusters on chromosomes 2D and 5B possessing significant QTL for kernel-related traits were highlighted. Markers tightly linked to these QTL or clusters will eventually facilitate further studies for fine mapping, candidate gene discovery and marker-assisted selection (MAS) in wheat breeding.
format Online
Article
Text
id pubmed-6193082
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-61930822018-10-25 QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map Su, Qiannan Zhang, Xilan Zhang, Wei Zhang, Na Song, Liqiang Liu, Lei Xue, Xin Liu, Guotao Liu, Jiajia Meng, Deyuan Zhi, Liya Ji, Jun Zhao, Xueqiang Yang, Chunling Tong, Yiping Liu, Zhiyong Li, Junming Front Plant Sci Plant Science High-density genetic linkage maps are essential for precise mapping quantitative trait loci (QTL) in wheat (Triticum aestivum L.). In this study, a high-density genetic linkage map consisted of 6312 SNP and SSR markers was developed to identify QTL controlling kernel size and weight, based on a recombinant inbred line (RIL) population derived from the cross of Shixin828 and Kenong2007. Seventy-eight putative QTL for kernel length (KL), kernel width (KW), kernel diameter ratio (KDR), and thousand kernel weight (TKW) were detected over eight environments by inclusive composite interval mapping (ICIM). Of these, six stable QTL were identified in more than four environments, including two for KL (qKL-2D and qKL-6B.2), one for KW (qKW-2D.1), one for KDR (qKDR-2D.1) and two for TKW (qTKW-5A and qTKW-5B.2). Unconditional and multivariable conditional QTL mapping for TKW with respect to TKW component (TKWC) revealed that kernel dimensions played an important role in regulating the kernel weight. Seven QTL-rich genetic regions including seventeen QTL were found on chromosomes 1A (2), 2D, 3A, 4B and 5B (2) exhibiting pleiotropic effects. In particular, clusters on chromosomes 2D and 5B possessing significant QTL for kernel-related traits were highlighted. Markers tightly linked to these QTL or clusters will eventually facilitate further studies for fine mapping, candidate gene discovery and marker-assisted selection (MAS) in wheat breeding. Frontiers Media S.A. 2018-10-11 /pmc/articles/PMC6193082/ /pubmed/30364249 http://dx.doi.org/10.3389/fpls.2018.01484 Text en Copyright © 2018 Su, Zhang, Zhang, Zhang, Song, Liu, Xue, Liu, Liu, Meng, Zhi, Ji, Zhao, Yang, Tong, Liu and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Su, Qiannan
Zhang, Xilan
Zhang, Wei
Zhang, Na
Song, Liqiang
Liu, Lei
Xue, Xin
Liu, Guotao
Liu, Jiajia
Meng, Deyuan
Zhi, Liya
Ji, Jun
Zhao, Xueqiang
Yang, Chunling
Tong, Yiping
Liu, Zhiyong
Li, Junming
QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title_full QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title_fullStr QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title_full_unstemmed QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title_short QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map
title_sort qtl detection for kernel size and weight in bread wheat (triticum aestivum l.) using a high-density snp and ssr-based linkage map
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193082/
https://www.ncbi.nlm.nih.gov/pubmed/30364249
http://dx.doi.org/10.3389/fpls.2018.01484
work_keys_str_mv AT suqiannan qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT zhangxilan qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT zhangwei qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT zhangna qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT songliqiang qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT liulei qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT xuexin qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT liuguotao qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT liujiajia qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT mengdeyuan qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT zhiliya qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT jijun qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT zhaoxueqiang qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT yangchunling qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT tongyiping qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT liuzhiyong qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap
AT lijunming qtldetectionforkernelsizeandweightinbreadwheattriticumaestivumlusingahighdensitysnpandssrbasedlinkagemap