ArticleEukaryotic cell2007
Transcriptional profiling of cross pathway control in Neurospora crassa and comparative analysis of the Gcn4 and CPC1 regulons.
Article in Eukaryotic cell, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 81 citations in OpenAlex.
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- Sensing of H2O2-induced oxidative stress by the UPF factor complex is crucial for activation of catalase-3 expression in Neurospora.PLoS genetics · 2023Article
- Expanding the Toolbox for Functional Genomics inJournal of fungi (Basel, Switzerland) · 2023Article
- GCN4 Enhances the Transcriptional Regulation of AreA by Interacting with SKO1 To Mediate Nitrogen Utilization in Ganoderma lucidum.Applied and environmental microbiology · 2022Article
- Systematic Characterization of bZIP Transcription Factors Required for Development and Aflatoxin Generation by High-Throughput Gene Knockout inJournal of fungi (Basel, Switzerland) · 2022Article
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- Transcription factor control of virulence in phytopathogenic fungi.Molecular plant pathology · 2021Review
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- Adaptation of codon usage to tRNA I34 modification controls translation kinetics and proteome landscape.PLoS genetics · 2020Article
- Circadian clock control of eIF2α phosphorylation is necessary for rhythmic translation initiation.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The Role of Cross-Pathway Control Regulator CpcA in the Growth and Extracellular Enzyme Production of Penicillium oxalicum.Current microbiology · 2020Article
- Molecular and Physiological Study ofProteomes · 2018Review
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- Multiprotein-bridging factor 1 regulates vegetative growth, osmotic stress, and virulence in Magnaporthe oryzae.Current genetics · 2017Article
- A fungal transcription factor essential for starch degradation affects integration of carbon and nitrogen metabolism.PLoS genetics · 2017Article
- Amino Acid Sensor Kinase Gcn2 Is Required for Conidiation, Secondary Metabolism, and Cell Wall Integrity in the Taxol-ProducerFrontiers in microbiology · 2017Article
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4 authors at 2 institutions in 1 country.
Funding
Abstract
Identifying and characterizing transcriptional regulatory networks is important for guiding experimental tests on gene function. The characterization of regulatory networks allows comparisons among both closely and distantly related species, providing insight into network evolution, which is predicted to correlate with the adaptation of different species to particular environmental niches. One of the most intensely studied regulatory factors in the yeast Saccharomyces cerevisiae is the bZIP transcription factor Gcn4p. Gcn4p is essential for a global transcriptional response when S. cerevisiae experiences amino acid starvation. In the filamentous ascomycete Neurospora crassa, the ortholog of GCN4 is called the cross pathway control-1 (cpc-1) gene; it is required for the ability of N. crassa to induce a number of amino acid biosynthetic genes in response to amino acid starvation. Here, we deciphered the CPC1 regulon by profiling transcription in wild-type and cpc-1 mutant strains with full-genome N. crassa 70-mer oligonucleotide microarrays. We observed that at least 443 genes were direct or indirect CPC1 targets; these included 67 amino acid biosynthetic genes, 16 tRNA synthetase genes, and 13 vitamin-related genes. Comparison among the N. crassa CPC1 transcriptional profiling data set and the Gcn4/CaGcn4 data sets from S. cerevisiae and Candida albicans revealed a conserved regulon of 32 genes, 10 of which are predicted to be directly regulated by Gcn4p/CPC1. The 32-gene conserved regulon comprises mostly amino acid biosynthetic genes. The comparison of regulatory networks in species with clear orthology among genes sheds light on how gene interaction networks evolve.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.