Cargando…

Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.

Flowering time plays a vital role in determining the life-cycle period, yield, and seed quality of rapeseed (Brassica napus L.) in certain environments. Quantitative trait locus (QTL) mapping to identify the genetic architecture of genes controlling flowering time helps accelerate the early maturity...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Yu, Zhang, Bingbing, Ma, Ning, Liu, Xia, Qin, Mengfan, Zhang, Yan, Wang, Kai, Guo, Na, Zuo, Kaifeng, Liu, Xiang, Zhang, Miao, Huang, Zhen, Xu, Aixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886670/
https://www.ncbi.nlm.nih.gov/pubmed/33613591
http://dx.doi.org/10.3389/fpls.2020.626205
_version_ 1783651844612947968
author Xu, Yu
Zhang, Bingbing
Ma, Ning
Liu, Xia
Qin, Mengfan
Zhang, Yan
Wang, Kai
Guo, Na
Zuo, Kaifeng
Liu, Xiang
Zhang, Miao
Huang, Zhen
Xu, Aixia
author_facet Xu, Yu
Zhang, Bingbing
Ma, Ning
Liu, Xia
Qin, Mengfan
Zhang, Yan
Wang, Kai
Guo, Na
Zuo, Kaifeng
Liu, Xiang
Zhang, Miao
Huang, Zhen
Xu, Aixia
author_sort Xu, Yu
collection PubMed
description Flowering time plays a vital role in determining the life-cycle period, yield, and seed quality of rapeseed (Brassica napus L.) in certain environments. Quantitative trait locus (QTL) mapping to identify the genetic architecture of genes controlling flowering time helps accelerate the early maturity breeding process. In this study, simple sequence repeats (SSR) and specific-locus amplified fragment sequencing (SLAF-seq) technologies were adopted to map the QTLs for flowering time in four environments. As a result, three target intervals, FTA09, FTA10, and FTC05 were identified. Among this, FTA09 was considered as a novel interval, FTA10 and FTC05 as stable regions. Based on the parental re-sequencing data, 7,022 single nucleotide polymorphisms (SNPs) and 2,195 insertion-deletions (InDels) between the two parents were identified in these three target regions. A total of 186 genes possessed genetic variations in these intervals, 14 of which were related to flowering time involved in photoperiod, circadian clock, vernalization, and gibberellin pathways. Six InDel markers linked to flowering time were developed in the three target intervals, indicating that the results were credible in this study. These results laid a good foundation for further genetic studies on flowering-time regulation in B. napus L.
format Online
Article
Text
id pubmed-7886670
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-78866702021-02-18 Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L. Xu, Yu Zhang, Bingbing Ma, Ning Liu, Xia Qin, Mengfan Zhang, Yan Wang, Kai Guo, Na Zuo, Kaifeng Liu, Xiang Zhang, Miao Huang, Zhen Xu, Aixia Front Plant Sci Plant Science Flowering time plays a vital role in determining the life-cycle period, yield, and seed quality of rapeseed (Brassica napus L.) in certain environments. Quantitative trait locus (QTL) mapping to identify the genetic architecture of genes controlling flowering time helps accelerate the early maturity breeding process. In this study, simple sequence repeats (SSR) and specific-locus amplified fragment sequencing (SLAF-seq) technologies were adopted to map the QTLs for flowering time in four environments. As a result, three target intervals, FTA09, FTA10, and FTC05 were identified. Among this, FTA09 was considered as a novel interval, FTA10 and FTC05 as stable regions. Based on the parental re-sequencing data, 7,022 single nucleotide polymorphisms (SNPs) and 2,195 insertion-deletions (InDels) between the two parents were identified in these three target regions. A total of 186 genes possessed genetic variations in these intervals, 14 of which were related to flowering time involved in photoperiod, circadian clock, vernalization, and gibberellin pathways. Six InDel markers linked to flowering time were developed in the three target intervals, indicating that the results were credible in this study. These results laid a good foundation for further genetic studies on flowering-time regulation in B. napus L. Frontiers Media S.A. 2021-02-03 /pmc/articles/PMC7886670/ /pubmed/33613591 http://dx.doi.org/10.3389/fpls.2020.626205 Text en Copyright © 2021 Xu, Zhang, Ma, Liu, Qin, Zhang, Wang, Guo, Zuo, Liu, Zhang, Huang and Xu. 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
Xu, Yu
Zhang, Bingbing
Ma, Ning
Liu, Xia
Qin, Mengfan
Zhang, Yan
Wang, Kai
Guo, Na
Zuo, Kaifeng
Liu, Xiang
Zhang, Miao
Huang, Zhen
Xu, Aixia
Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title_full Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title_fullStr Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title_full_unstemmed Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title_short Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Flowering Time in Brassica napus L.
title_sort quantitative trait locus mapping and identification of candidate genes controlling flowering time in brassica napus l.
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886670/
https://www.ncbi.nlm.nih.gov/pubmed/33613591
http://dx.doi.org/10.3389/fpls.2020.626205
work_keys_str_mv AT xuyu quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT zhangbingbing quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT maning quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT liuxia quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT qinmengfan quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT zhangyan quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT wangkai quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT guona quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT zuokaifeng quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT liuxiang quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT zhangmiao quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT huangzhen quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl
AT xuaixia quantitativetraitlocusmappingandidentificationofcandidategenescontrollingfloweringtimeinbrassicanapusl