Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus
Seed oil content (SOC) is a highly important and complex trait in oil crops. Here, we decipher the genetic basis of natural variation in SOC of Brassica napus by genome- and transcriptome-wide association studies using 505 inbred lines. We mapped reliable quantitative trait loci (QTLs) that control...
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sg-ntu-dr.10356-1466102023-02-28T17:08:44Z Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus Tang, Shan Zhao, Hu Lu, Shaoping Yu, Liangqian Zhang, Guofang Zhang, Yuting Yang, Qing-Yong Zhou, Yongming Wang, Xuemin Ma, Wei Xie, Weibo Guo, Liang School of Biological Sciences Science::Biological sciences Brassica Napus Seed Oil Content Seed oil content (SOC) is a highly important and complex trait in oil crops. Here, we decipher the genetic basis of natural variation in SOC of Brassica napus by genome- and transcriptome-wide association studies using 505 inbred lines. We mapped reliable quantitative trait loci (QTLs) that control SOC in eight environments, evaluated the effect of each QTL on SOC, and analyzed selection in QTL regions during breeding. Six-hundred and ninety-two genes and four gene modules significantly associated with SOC were identified by analyzing population transcriptomes from seeds. A gene prioritization framework, POCKET (prioritizing the candidate genes by incorporating information on knowledge-based gene sets, effects of variants, genome-wide association studies, and transcriptome-wide association studies), was implemented to determine the causal genes in the QTL regions based on multi-omic datasets. A pair of homologous genes, BnPMT6s, in two QTLs were identified and experimentally demonstrated to negatively regulate SOC. This study provides rich genetic resources for improving SOC and valuable insights toward understanding the complex machinery that directs oil accumulation in the seeds of B. napus and other oil crops. Accepted version 2021-03-03T02:27:22Z 2021-03-03T02:27:22Z 2021 Journal Article Tang, S., Zhao, H., Lu, S., Yu, L., Zhang, G., Zhang, Y., ... Guo, L. (2021). Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus. Molecular Plant, 14(3), 470-487. doi:10.1016/j.molp.2020.12.003 1674-2052 0000-0001-7191-5062 https://hdl.handle.net/10356/146610 10.1016/j.molp.2020.12.003 33309900 2-s2.0-85099239596 3 14 470 487 en Molecular Plant © 2020 The Author(s) (Published by the Molecular Plant Shanghai Editorial Office in association with Cell Press, an imprint of Elsevier Inc., on behalf of CSPB and IPPE, SIBS, CAS). All rights reserved. This paper was published in Molecular Plant and is made available with permission of The Author(s) (Published by the Molecular Plant Shanghai Editorial Office in association with Cell Press, an imprint of Elsevier Inc., on behalf of CSPB and IPPE, SIBS, CAS). application/pdf |
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Science::Biological sciences Brassica Napus Seed Oil Content Tang, Shan Zhao, Hu Lu, Shaoping Yu, Liangqian Zhang, Guofang Zhang, Yuting Yang, Qing-Yong Zhou, Yongming Wang, Xuemin Ma, Wei Xie, Weibo Guo, Liang Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
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Seed oil content (SOC) is a highly important and complex trait in oil crops. Here, we decipher the genetic basis of natural variation in SOC of Brassica napus by genome- and transcriptome-wide association studies using 505 inbred lines. We mapped reliable quantitative trait loci (QTLs) that control SOC in eight environments, evaluated the effect of each QTL on SOC, and analyzed selection in QTL regions during breeding. Six-hundred and ninety-two genes and four gene modules significantly associated with SOC were identified by analyzing population transcriptomes from seeds. A gene prioritization framework, POCKET (prioritizing the candidate genes by incorporating information on knowledge-based gene sets, effects of variants, genome-wide association studies, and transcriptome-wide association studies), was implemented to determine the causal genes in the QTL regions based on multi-omic datasets. A pair of homologous genes, BnPMT6s, in two QTLs were identified and experimentally demonstrated to negatively regulate SOC. This study provides rich genetic resources for improving SOC and valuable insights toward understanding the complex machinery that directs oil accumulation in the seeds of B. napus and other oil crops. |
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School of Biological Sciences |
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School of Biological Sciences Tang, Shan Zhao, Hu Lu, Shaoping Yu, Liangqian Zhang, Guofang Zhang, Yuting Yang, Qing-Yong Zhou, Yongming Wang, Xuemin Ma, Wei Xie, Weibo Guo, Liang |
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Article |
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Tang, Shan Zhao, Hu Lu, Shaoping Yu, Liangqian Zhang, Guofang Zhang, Yuting Yang, Qing-Yong Zhou, Yongming Wang, Xuemin Ma, Wei Xie, Weibo Guo, Liang |
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Tang, Shan |
title |
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
title_short |
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
title_full |
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
title_fullStr |
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
title_full_unstemmed |
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus |
title_sort |
genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in brassica napus |
publishDate |
2021 |
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https://hdl.handle.net/10356/146610 |
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1759854347911430144 |