AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Detection of new candidate genes controlling seed weight by integrating gene coexpression analysis and QTL mapping in Brassica napus L.

Hongli Donga, Lei Yanga, Yilin Liua, Guifu Tiana, Huan Tanga, Shuangshuang Xina, Yixin Cuia, Qing Xiongc, Huafang Wana, Zhi Liua, Christian Jungd, Wei Qiana,b( )
College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, China
Engineering Research Center of South Upland Agriculture, Ministry of Education, Chongqing 400715, China
Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210029, Jiangsu, China
Plant Breeding Institute, Christian Albrechts University of Kiel, Olshausenstr. 40, 24098 Kiel, Germany
Show Author Information

Abstract

Seed weight is a component of seed yield in rapeseed (Brassica napus L.). Although quantitative trait loci (QTL) for seed weight have been reported in rapeseed, only a few causal quantitative trait genes (QTGs) have been identified, resulting in a limitation in understanding of seed weight regulation. We constructed a gene coexpression network at the early seed developmental stage using transcripts of 20,408 genes in QTL intervals and 1017 rapeseed homologs of known genes from other species. Among the 10 modules in this gene coexpression network, modules 1 and 2 were core modules and contained genes involved in source–flow–sink processes such as synthesis and transportation of fatty acid and protein, and photosynthesis. A hub gene SERINE CARBOXYPEPTIDASE-LIKE 19 (SCPL19) was identified by candidate gene association analysis in rapeseed and functionally investigated using Arabidopsis T-DNA mutant and overexpression lines. Our study demonstrates the power of gene coexpression analysis to prioritize candidate genes from large candidate QTG sets and enhances the understanding of molecular mechanism for seed weight at the early developmental stage in rapeseed.

References

【1】
【1】
 
 
The Crop Journal
Pages 842-851

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Dong H, Yang L, Liu Y, et al. Detection of new candidate genes controlling seed weight by integrating gene coexpression analysis and QTL mapping in Brassica napus L.. The Crop Journal, 2023, 11(3): 842-851. https://doi.org/10.1016/j.cj.2022.09.009

879

Views

15

Downloads

8

Crossref

7

Web of Science

9

Scopus

1

CSCD

Received: 29 May 2022
Revised: 25 July 2022
Accepted: 17 September 2022
Published: 15 October 2022
© 2022 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).