The basic helix-loop-helix transcription factor Crf1 is required for development and pathogenicity of the rice blast fungus by regulating carbohydrate and lipid metabolism.
Huijuan CaoPengyun HuangYuxin YanYongkai ShiBo DongXiao-Hong LiuLidan YeFucheng LinJian-Ping LuPublished in: Environmental microbiology (2018)
Pyricularia oryzae is a plant pathogen causing rice blast, a serious disease spreading in cultivated rice globally. Transcription factors play important regulatory roles in fungal development and pathogenicity. Here, we characterized the biological functions of Crf1, a basic helix-loop-helix (bHLH) transcription factor, in the development and pathogenicity of P. oryzae with functional genetics, molecular and biochemical approaches. We found that CRF1 is necessary for virulence and plays an indispensable role in the regulation of carbohydrate and lipid metabolism in P. oryzae. Deletion of CRF1 led to defects in utilization of lipids, ethanol, glycerol and L-arabinose, and down-regulation of many important genes in lipolysis, β-oxidation, gluconeogenesis, as well as glycerol and arabinose metabolism. CRF1 is also essential for peroxisome and vacuole function, and conidial cell death during appressorium formation. The appressorium turgor, penetration ability and virulence in Δcrf1 were restored by supplementation of exogenous glucose. The virulence of Crf1 mutant was also recovered by adding exogenous D-xylose, but not by addition of ethanol, pyruvate, leucine or L-arabinose. These data showed that Crf1 plays an important role in the complex regulatory network of carbohydrate and lipid metabolism that governs fungal development and pathogenicity.
Keyphrases
- transcription factor
- dna binding
- biofilm formation
- escherichia coli
- staphylococcus aureus
- cell death
- genome wide identification
- antimicrobial resistance
- fatty acid
- candida albicans
- type diabetes
- genome wide
- skeletal muscle
- data analysis
- machine learning
- cell proliferation
- deep learning
- single molecule
- artificial intelligence
- dna methylation
- big data