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SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus

Traits related to flowering time are the most promising agronomic traits that directly impact the seed yield and oil quality of rapeseed (Brassica napus L.). Developing early flowering and maturity rapeseed varieties is an important breeding objective in B. napus. Many studies have reported on days...

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Autores principales: Helal, MMU, Gill, Rafaqat Ali, Tang, Minqiang, Yang, Li, Hu, Ming, Yang, Lingli, Xie, Meili, Zhao, Chuanji, Cheng, Xiaohui, Zhang, Yuanyuan, Zhang, Xiong, Liu, Shengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619824/
https://www.ncbi.nlm.nih.gov/pubmed/34834840
http://dx.doi.org/10.3390/plants10112475
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author Helal, MMU
Gill, Rafaqat Ali
Tang, Minqiang
Yang, Li
Hu, Ming
Yang, Lingli
Xie, Meili
Zhao, Chuanji
Cheng, Xiaohui
Zhang, Yuanyuan
Zhang, Xiong
Liu, Shengyi
author_facet Helal, MMU
Gill, Rafaqat Ali
Tang, Minqiang
Yang, Li
Hu, Ming
Yang, Lingli
Xie, Meili
Zhao, Chuanji
Cheng, Xiaohui
Zhang, Yuanyuan
Zhang, Xiong
Liu, Shengyi
author_sort Helal, MMU
collection PubMed
description Traits related to flowering time are the most promising agronomic traits that directly impact the seed yield and oil quality of rapeseed (Brassica napus L.). Developing early flowering and maturity rapeseed varieties is an important breeding objective in B. napus. Many studies have reported on days to flowering, but few have reported on budding, bolting, and the interval between bolting and DTF. Therefore, elucidating the genetic architecture of QTLs and genes regulating flowering time, we presented an integrated investigation on SNP and haplotype-based genome-wide association study of 373 diverse B. napus germplasm, which were genotyped by the 60K SNP array and were phenotyped in the four environments. The results showed that a total of 15 and 37 QTLs were detected from SNP and haplotype-based GWAS, respectively. Among them, seven QTL clusters were identified by haplotype-based GWAS. Moreover, three and eight environmentally stable QTLs were detected by SNP-GWAS and haplotype-based GWAS, respectively. By integrating the above two approaches and by co-localizing the four traits, ten (10) genomic regions were under selection on chromosomes A03, A07, A08, A10, C06, C07, and C08. Interestingly, the genomic regions FT.A07.1, FT.A08, FT.C06, and FT.C07 were identified as novel. In these ten regions, a total of 197 genes controlling FT were detected, of which 14 highly expressed DEGs were orthologous to 13 Arabidopsis thaliana genes after integration with transcriptome results. In a nutshell, the above results uncovered the genetic architecture of important agronomic traits related to flowering time and provided a basis for multiple molecular marker-trait associations in B. napus.
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spelling pubmed-86198242021-11-27 SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus Helal, MMU Gill, Rafaqat Ali Tang, Minqiang Yang, Li Hu, Ming Yang, Lingli Xie, Meili Zhao, Chuanji Cheng, Xiaohui Zhang, Yuanyuan Zhang, Xiong Liu, Shengyi Plants (Basel) Article Traits related to flowering time are the most promising agronomic traits that directly impact the seed yield and oil quality of rapeseed (Brassica napus L.). Developing early flowering and maturity rapeseed varieties is an important breeding objective in B. napus. Many studies have reported on days to flowering, but few have reported on budding, bolting, and the interval between bolting and DTF. Therefore, elucidating the genetic architecture of QTLs and genes regulating flowering time, we presented an integrated investigation on SNP and haplotype-based genome-wide association study of 373 diverse B. napus germplasm, which were genotyped by the 60K SNP array and were phenotyped in the four environments. The results showed that a total of 15 and 37 QTLs were detected from SNP and haplotype-based GWAS, respectively. Among them, seven QTL clusters were identified by haplotype-based GWAS. Moreover, three and eight environmentally stable QTLs were detected by SNP-GWAS and haplotype-based GWAS, respectively. By integrating the above two approaches and by co-localizing the four traits, ten (10) genomic regions were under selection on chromosomes A03, A07, A08, A10, C06, C07, and C08. Interestingly, the genomic regions FT.A07.1, FT.A08, FT.C06, and FT.C07 were identified as novel. In these ten regions, a total of 197 genes controlling FT were detected, of which 14 highly expressed DEGs were orthologous to 13 Arabidopsis thaliana genes after integration with transcriptome results. In a nutshell, the above results uncovered the genetic architecture of important agronomic traits related to flowering time and provided a basis for multiple molecular marker-trait associations in B. napus. MDPI 2021-11-16 /pmc/articles/PMC8619824/ /pubmed/34834840 http://dx.doi.org/10.3390/plants10112475 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
Helal, MMU
Gill, Rafaqat Ali
Tang, Minqiang
Yang, Li
Hu, Ming
Yang, Lingli
Xie, Meili
Zhao, Chuanji
Cheng, Xiaohui
Zhang, Yuanyuan
Zhang, Xiong
Liu, Shengyi
SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title_full SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title_fullStr SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title_full_unstemmed SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title_short SNP- and Haplotype-Based GWAS of Flowering-Related Traits in Brassica napus
title_sort snp- and haplotype-based gwas of flowering-related traits in brassica napus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619824/
https://www.ncbi.nlm.nih.gov/pubmed/34834840
http://dx.doi.org/10.3390/plants10112475
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