GeneticsGeneticsPeer-reviewed journal article
A network of MAP-Kinase pathways and transcription factors regulates cell-to-cell communication and cell wall integrity in Neurospora crassa
Monika S. Fischer, Vincent W. WuiD, Ji E. LeeiD, Ronan C. O’MalleyiD, N. Louise GlassiD
Abstract
Maintenance of cell integrity and cell-to-cell communication are fundamental biological processes. Filamentous fungi, such as Neurospora crassa, depend on communication to locate compatible cells, coordinate cell fusion, and establish a robust hyphal network. Two MAP-Kinase pathways are essential for communication and cell fusion in N. crassa; the Cell Wall Integrity/MAK-1 pathway and the MAK-2 (signal response) pathway. Previous studies have demonstrated several points of cross talk between the MAK-1 and MAK-2 pathways, which is likely necessary for oordinating chemotropic growth toward an extracellular signal, and then mediating cell fusion. Canonical MAP-Kinase pathways begin with signal reception and end with a transcriptional response. Two transcription factors, ADV-1 and PP-1, are essential for communication and cell fusion. PP-1 is the conserved target of MAK-2, while it is unclear what targets ADV-1. We did RNAseq on{Delta} adv-1, {Delta}pp-1, and wild-type cells and found that ADV-1 and PP-1 have a shared regulon including many genes required for communication, cell fusion, growth, development, and stress response. We identified ADV-1 and PP-1 binding sites across the genome by adapting the in vitro method of DNA-Affinity Purification sequencing (DAP-seq) for N. crassa. To elucidate the regulatory network, we misexpressed each transcription factor in each upstream MAPK deletion mutant. Misexpression of adv-1 was sufficient to fully suppress the phenotype of the{Delta} pp-1 mutant and partially suppress the phenotype of the{Delta} mak-1 mutant. Collectively, our data demonstrate that the MAK-1-ADV-1 and MAK-2- PP-1 pathways form a tight regulatory network that maintains cell integrity and mediates communication and cell fusion.
- organism: fungi (other)
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 46
- FWCI
- 2.31
- Field percentile
- top 10%
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