期刊
JOURNAL OF FUNGI
卷 8, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/jof8100998
关键词
digital RNA-seq; Phytophthora sojae; WGCNA; transcription factor; RxLR effector
资金
- National Science Foundation of China [U1804104, U1404318]
- Key Scientific and Technological Project of Henan Province [212102110141]
In this study, a transcription factor (PsCZF3) in Phytophthora sojae was identified using a weighted gene correlation network analysis. PsCZF3 regulates the transcription of multiple effectors and carbohydrate-active enzymes, facilitating the infection of P. sojae.
Phytophthora sojae is a destructive soybean pathogen that orchestrates various secreted proteins (effectors) to modulate plant immunity and facilitate infection. Although a number of effectors have been identified and functionally studied in P. sojae, the way these molecules are regulated is marginally known. In this study, we performed a weighted gene correlation network analysis (WGCNA) based on digital RNA-seq, which enabled the identification of a transcription factor (PsCZF3) in P. sojae. This transcription factor is a C2H2-type zinc finger protein that regulates the transcription of 35 RxLR effectors during the early infection stage. Phylogenetic analysis revealed that PsCZF3 is a highly conserved protein across oomycetes, suggesting that this regulation mechanism may broadly exist in oomycete species. In addition, by building a subnetwork of PsCZF3 and correlated genes, we also found that PsCZF3 contributed to the transcriptional regulation of carbohydrate-active enzymes. Our findings suggest that the activation of PsCZF3 facilitates P. sojae infection by up-regulating RxLR effectors and carbohydrate-active enzymes.
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