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CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2020, Vol. 42 ›› Issue (4): 554-.doi: 10.19802/j.issn.1007-9084.2020152

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Identification of co-expression networks responding to low-temperature stress by WGCNA in Brassica napus L.

  

  1. State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University,
    Yangling 712100, China
  • Online:2020-08-28 Published:2020-09-04

Abstract: To better understand the gene expressions under low lemperature, weighted gene co-expression net⁃
work analysis (WGCNA) was used on rapeseed (Brassica napus L.) co-expression patterns under cold stress. 36
RNA-seq data generated from HX17 and HX58 (2 materials had different freezing responses) with different lowtemperature
stresses were used as data resource. After filtering out the low-expression genes, the top 15 000 genes
with the largest variation in expression level were screened for WGCNA. A total of 16 co-expression modules were
identified. Combined with transcription factor prediction, cold-related gene prediction, gene ontology (GO) enrich⁃
ment, and gene expression analysis, brown module was determined as the common module in response to freezing
stress, pink module as the specific module of cold tolerance of HX17. Furthermore, the gene co-expression net⁃
works were constructed, which could provide new insights and support for research in cold/frost tolerance mecha⁃
nism of rapeseed.

Key words: rapeseed (Brassica napus L.), cold acclimation, cold shock, weighted gene co-expression net?work

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