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QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time
Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield. Here, we performed flowering-time quantitative trait loci (QTL) mapping using a double haploid (DH) population grown in three environments to study the genetic architecture. Brassica 60 K Illumina I...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305928/ https://www.ncbi.nlm.nih.gov/pubmed/34299178 http://dx.doi.org/10.3390/ijms22147559 |
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author | Song, Jurong Li, Bao Cui, Yanke Zhuo, Chenjian Gu, Yuanguo Hu, Kaining Wen, Jing Yi, Bin Shen, Jinxiong Ma, Chaozhi Fu, Tingdong Tu, Jinxing |
author_facet | Song, Jurong Li, Bao Cui, Yanke Zhuo, Chenjian Gu, Yuanguo Hu, Kaining Wen, Jing Yi, Bin Shen, Jinxiong Ma, Chaozhi Fu, Tingdong Tu, Jinxing |
author_sort | Song, Jurong |
collection | PubMed |
description | Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield. Here, we performed flowering-time quantitative trait loci (QTL) mapping using a double haploid (DH) population grown in three environments to study the genetic architecture. Brassica 60 K Illumina Infinium™ single nucleotide polymorphism (SNP) array and simple sequence repeat (SSR) markers were used for genotyping of the DH population, and a high-density genetic linkage map was constructed. QTL analysis of flowering time from the three environments revealed five consensus QTLs, including two major QTLs. A major QTL located on chromosome A03 was detected specifically in the semi-winter rapeseed growing region, and the one on chromosome C08 was detected in all environments. Ribonucleic acid sequencing (RNA-seq) was performed on the parents’ leaves at seven time-points in a day to determine differentially expressed genes (DEGs). The biological processes and pathways with significant enrichment of DEGs were obtained. The DEGs in the QTL intervals were analyzed, and four flowering time-related candidate genes were found. These results lay a foundation for the genetic regulation of rapeseed flowering time and create a rapeseed gene expression library for seven time-points in a day. |
format | Online Article Text |
id | pubmed-8305928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83059282021-07-25 QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time Song, Jurong Li, Bao Cui, Yanke Zhuo, Chenjian Gu, Yuanguo Hu, Kaining Wen, Jing Yi, Bin Shen, Jinxiong Ma, Chaozhi Fu, Tingdong Tu, Jinxing Int J Mol Sci Article Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield. Here, we performed flowering-time quantitative trait loci (QTL) mapping using a double haploid (DH) population grown in three environments to study the genetic architecture. Brassica 60 K Illumina Infinium™ single nucleotide polymorphism (SNP) array and simple sequence repeat (SSR) markers were used for genotyping of the DH population, and a high-density genetic linkage map was constructed. QTL analysis of flowering time from the three environments revealed five consensus QTLs, including two major QTLs. A major QTL located on chromosome A03 was detected specifically in the semi-winter rapeseed growing region, and the one on chromosome C08 was detected in all environments. Ribonucleic acid sequencing (RNA-seq) was performed on the parents’ leaves at seven time-points in a day to determine differentially expressed genes (DEGs). The biological processes and pathways with significant enrichment of DEGs were obtained. The DEGs in the QTL intervals were analyzed, and four flowering time-related candidate genes were found. These results lay a foundation for the genetic regulation of rapeseed flowering time and create a rapeseed gene expression library for seven time-points in a day. MDPI 2021-07-15 /pmc/articles/PMC8305928/ /pubmed/34299178 http://dx.doi.org/10.3390/ijms22147559 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Jurong Li, Bao Cui, Yanke Zhuo, Chenjian Gu, Yuanguo Hu, Kaining Wen, Jing Yi, Bin Shen, Jinxiong Ma, Chaozhi Fu, Tingdong Tu, Jinxing QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title | QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title_full | QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title_fullStr | QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title_full_unstemmed | QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title_short | QTL Mapping and Diurnal Transcriptome Analysis Identify Candidate Genes Regulating Brassica napus Flowering Time |
title_sort | qtl mapping and diurnal transcriptome analysis identify candidate genes regulating brassica napus flowering time |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305928/ https://www.ncbi.nlm.nih.gov/pubmed/34299178 http://dx.doi.org/10.3390/ijms22147559 |
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