Mining of co-expression genes in response to cold stress at maize (<i>Zea mays</i> L.) germination and sprouting stages by weighted gene co-expression networks analysis
WGCNA revealed the differences in the response patterns of genes to low-temperature stress between tolerant and sensitive lines at different time points. Seven genes involved in low-temperature stress were functionally annotated. This finding suggests that WGCNA is a viable approach for gene mining. The current findings provide experimental support for further investigation of the molecular mechanisms underlying tolerance to low temperatures in maize.
Authors
- Fengxue Jin
- Xiaohui Zhou (ORCID: https://orcid.org/0000-0003-3205-4743)
- Jing Dong (ORCID: https://orcid.org/0000-0001-7054-5434)
- C. H. Shi
- Liquan Sun (ORCID: https://orcid.org/0000-0001-6309-3441)
- Weilin Wu (ORCID: https://orcid.org/0000-0002-7517-1686)
- Chunxiao Zhang (ORCID: https://orcid.org/0000-0002-5166-2560)
- Xueyan Liu (ORCID: https://orcid.org/0000-0003-1097-1516)
- Xiaohui Li (ORCID: https://orcid.org/0000-0002-1556-228X)
Institutions
- Yanbian University (CN)
- Jilin Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-03-11
- DOI
- https://doi.org/10.7717/peerj.19124
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- People's Government of Jilin Province
- Agricultural Science and Technology Innovation Program