Identification of candidate genes associated with regreening stage in rapeseed (Brassica Rapa L.) by combined application of BSA-Seq and RNA-Seq

Our findings provide the first comprehensive genetic map of the regreening process in rapeseed, revealing a dynamic regulatory network centered on JA signaling and stress response pathways. The identified candidate genes and associated molecular markers establish a valuable resource and a solid theoretical foundation for future functional studies. More importantly, we have identified direct targets for marker-assisted selection (MAS). This provides a foundation for breeding novel rapeseed cultivars with optimized regreening timing and enhanced yield potential.

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Publication Details

Journal
BMC Plant Biology
Published
2026-02-10
DOI
https://doi.org/10.1186/s12870-026-08345-9
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
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article

Identification of candidate genes associated with regreening stage in rapeseed (Brassica Rapa L.) by combined application of BSA-Seq and RNA-Seq

Mingwei Guan, Lanju Zhai, Hongxia Li, Aiguo Li et al.
BMC Plant Biology
Plant Molecular Biology Research
article

Identification of candidate genes associated with regreening stage in rapeseed (Brassica Rapa L.) by combined application of BSA-Seq and RNA-Seq

Mingwei Guan, Lanju Zhai, Hongxia Li, Aiguo Li, Anqiang Guo, Jiming Li
article en

Abstract

Our findings provide the first comprehensive genetic map of the regreening process in rapeseed, revealing a dynamic regulatory network centered on JA signaling and stress response pathways. The identified candidate genes and associated molecular markers establish a valuable resource and a solid theoretical foundation for future functional studies. More importantly, we have identified direct targets for marker-assisted selection (MAS). This provides a foundation for breeding novel rapeseed cultivars with optimized regreening timing and enhanced yield potential.

BMC Plant BiologyVol. 26(1)
Hengshui University (CN), Hebei Academy of Agriculture and Forestry Sciences (CN)
Openalex Percentile: Top 61%
Plant Molecular Biology Research
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