Effects of Carbon, Nitrogen, Ambient pH and Light on Mycelial Growth, Sporulation, Sorbicillinoid Biosynthesis and Related Gene Expression in Ustilaginoidea virens .
Xuping ZhangXuwen HouDan XuMengyao XueJiayin ZhangJiacheng WangYonglin YangDaowan LaiLi-Gang ZhouPublished in: Journal of fungi (Basel, Switzerland) (2023)
Sorbicillinoids are a class of hexaketide metabolites produced by Ustilaginoidea virens (teleomorph: Villosiclava virens ), an important fungal pathogen that causes a devastating rice disease. In this study, we investigated the effects of environmental factors, including carbon and nitrogen sources, ambient pH and light exposure, on mycelial growth, sporulation, as well as the accumulation of sorbicillinoids, and the expression of related genes involved in sorbicillinoid biosynthesis. It was found that the environmental factors had great influences on mycelial growth and sporulation of U. virens . Fructose and glucose, complex nitrogen sources, acidic conditions and light exposure were favorable for sorbicillinoid production. The relative transcript levels of sorbicillinoid biosynthesis genes were up-regulated when U. virens was separately treated with those environmental factors that favored sorbicillinoid production, indicating that sorbicillinoid biosynthesis was mainly regulated at the transcriptional level by different environmental factors. Two pathway-specific transcription factor genes, UvSorR1 and UvSorR2, were found to participate in the regulation of sorbicillinoid biosynthesis. These results will provide useful information to better understand the regulation mechanisms of sorbicillinoid biosynthesis, and be conducive to develop effective means for controlling sorbicillinoid production in U. virens .
Keyphrases
- transcription factor
- cell wall
- gene expression
- air pollution
- particulate matter
- poor prognosis
- genome wide identification
- genome wide
- ms ms
- metabolic syndrome
- healthcare
- dna methylation
- drinking water
- bacillus subtilis
- adipose tissue
- high resolution
- skeletal muscle
- bioinformatics analysis
- blood glucose
- binding protein
- blood pressure