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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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 |
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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 |
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