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RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight

Brassica napus is an important oilseed crop worldwide. Although seed weight is the main determinant of seed yield, few studies have focused on the molecular mechanisms that regulate seed weight in B. napus. In this study, the immature seeds of G-42 and 7–9, two B. napus doubled haploid (DH) lines wi...

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Autores principales: Geng, Xinxin, Dong, Na, Wang, Yuquan, Li, Gan, Wang, Lijun, Guo, Xuejiao, Li, Jiabing, Wen, Zhaopu, Wei, Wenhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790231/
https://www.ncbi.nlm.nih.gov/pubmed/29381708
http://dx.doi.org/10.1371/journal.pone.0191297
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author Geng, Xinxin
Dong, Na
Wang, Yuquan
Li, Gan
Wang, Lijun
Guo, Xuejiao
Li, Jiabing
Wen, Zhaopu
Wei, Wenhui
author_facet Geng, Xinxin
Dong, Na
Wang, Yuquan
Li, Gan
Wang, Lijun
Guo, Xuejiao
Li, Jiabing
Wen, Zhaopu
Wei, Wenhui
author_sort Geng, Xinxin
collection PubMed
description Brassica napus is an important oilseed crop worldwide. Although seed weight is the main determinant of seed yield, few studies have focused on the molecular mechanisms that regulate seed weight in B. napus. In this study, the immature seeds of G-42 and 7–9, two B. napus doubled haploid (DH) lines with extremely different thousand-seed weight (TSW), were selected for a transcriptome analysis to determine the regulatory mechanisms underlying seed weight at the whole gene expression level and to identify candidate genes related to seed weight. A total of 2,251 new genes and 2,205 differentially expressed genes (DEGs) were obtained via RNA-seq (RNA sequencing). Among these genes, 1,747 (77.61%) new genes and 2020 (91.61%) DEGs were successfully annotated. Of these DEGs, 1,118 were up-regulated and 1,087 were down-regulated in the large-seed line. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis indicated that 15 DEGs were involved in ubiquitin-mediated proteolysis and proteasome pathways, which might participate in regulating seed weight. The Gene Ontology (GO) database indicated that 222 DEGs were associated with the biological process or molecular function categories related to seed weight, such as cell division, cell size and cell cycle regulation, seed development, nutrient reservoir activity, and proteasome-mediated ubiquitin-dependent protein catabolic processes. Moreover, 50 DEGs encoding key enzymes or proteins were identified that likely participate in regulating seed weight. A DEG (GSBRNA2T00037121001) identified by the transcriptome analysis was also previously identified in a quantitative trait locus (QTL) region for seed weight via SLAF-seq (Specific Locus Amplified Fragment sequencing). Finally, the expression of 10 DEGs with putative roles in seed weight and the expression of the DEG GSBRNA2T00037121001 were confirmed by a quantitative real-time reverse transcription PCR (qRT-PCR) analysis, and the results were consistent with the RNA sequencing data. This work has provided new insights on the molecular mechanisms underlying seed weight-related biosynthesis and has laid a solid foundation for further improvements to the seed yield of oil crops.
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spelling pubmed-57902312018-02-13 RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight Geng, Xinxin Dong, Na Wang, Yuquan Li, Gan Wang, Lijun Guo, Xuejiao Li, Jiabing Wen, Zhaopu Wei, Wenhui PLoS One Research Article Brassica napus is an important oilseed crop worldwide. Although seed weight is the main determinant of seed yield, few studies have focused on the molecular mechanisms that regulate seed weight in B. napus. In this study, the immature seeds of G-42 and 7–9, two B. napus doubled haploid (DH) lines with extremely different thousand-seed weight (TSW), were selected for a transcriptome analysis to determine the regulatory mechanisms underlying seed weight at the whole gene expression level and to identify candidate genes related to seed weight. A total of 2,251 new genes and 2,205 differentially expressed genes (DEGs) were obtained via RNA-seq (RNA sequencing). Among these genes, 1,747 (77.61%) new genes and 2020 (91.61%) DEGs were successfully annotated. Of these DEGs, 1,118 were up-regulated and 1,087 were down-regulated in the large-seed line. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database analysis indicated that 15 DEGs were involved in ubiquitin-mediated proteolysis and proteasome pathways, which might participate in regulating seed weight. The Gene Ontology (GO) database indicated that 222 DEGs were associated with the biological process or molecular function categories related to seed weight, such as cell division, cell size and cell cycle regulation, seed development, nutrient reservoir activity, and proteasome-mediated ubiquitin-dependent protein catabolic processes. Moreover, 50 DEGs encoding key enzymes or proteins were identified that likely participate in regulating seed weight. A DEG (GSBRNA2T00037121001) identified by the transcriptome analysis was also previously identified in a quantitative trait locus (QTL) region for seed weight via SLAF-seq (Specific Locus Amplified Fragment sequencing). Finally, the expression of 10 DEGs with putative roles in seed weight and the expression of the DEG GSBRNA2T00037121001 were confirmed by a quantitative real-time reverse transcription PCR (qRT-PCR) analysis, and the results were consistent with the RNA sequencing data. This work has provided new insights on the molecular mechanisms underlying seed weight-related biosynthesis and has laid a solid foundation for further improvements to the seed yield of oil crops. Public Library of Science 2018-01-30 /pmc/articles/PMC5790231/ /pubmed/29381708 http://dx.doi.org/10.1371/journal.pone.0191297 Text en © 2018 Geng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Geng, Xinxin
Dong, Na
Wang, Yuquan
Li, Gan
Wang, Lijun
Guo, Xuejiao
Li, Jiabing
Wen, Zhaopu
Wei, Wenhui
RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title_full RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title_fullStr RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title_full_unstemmed RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title_short RNA-seq transcriptome analysis of the immature seeds of two Brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
title_sort rna-seq transcriptome analysis of the immature seeds of two brassica napus lines with extremely different thousand-seed weight to identify the candidate genes related to seed weight
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790231/
https://www.ncbi.nlm.nih.gov/pubmed/29381708
http://dx.doi.org/10.1371/journal.pone.0191297
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