The information highways of a biotechnological workhorse – signal transduction in Hypocrea jecorina

Schmoll, Monika

doi:10.1186/1471-2164-9-430

The information highways of a biotechnological workhorse – signal transduction in Hypocrea jecorina

Journal Article · Sat Sep 20 00:00:00 EDT 2008 · BMC Genomics

DOI:https://doi.org/10.1186/1471-2164-9-430· OSTI ID:1626468

Schmoll, Monika ^[1]

Vienna Univ. of Technology (Austria); DOE/OSTI

Background: The ascomycete Hypocrea jecorina (anamorph Trichoderma reesei) is one of the most prolific producers of biomass-degrading enzymes and frequently termed an industrial workhorse. To compete for nutrients in its habitat despite its shortcoming in certain degradative enzymes, efficient perception and interpretation of environmental signals is indispensable. A better understanding of these signals as well as their transmission machinery can provide sources for improvement of biotechnological processes. Results: The genome of H. jecorina was analysed for the presence and composition of common signal transduction pathways including heterotrimeric G-protein cascades, cAMP signaling, mitogen activated protein kinases, two component phosphorelay systems, proteins involved in circadian rhythmicity and light response, calcium signaling and the superfamily of Ras small GTPases. The results of this survey are discussed in the context of current knowledge in order to assess putative functions as well as potential impact of alterations of the respective pathways. Conclusion: Important findings include an additional, bacterial type phospholipase C protein and an additional 6-4 photolyase. Moreover the presence of 4 RGS-(Regulator of G-protein Signaling) proteins and 3 GprK-type G-protein coupled receptors comprising an RGS-domain suggest a more complex posttranslational regulation of G-protein signaling than in other ascomycetes. Also the finding, that H. jecorina, unlike yeast possesses class I phosducins which are involved in phototransduction in mammals warrants further investigation. An alteration in the regulation of circadian rhythmicity may be deduced from the extension of both the class I and II of casein kinases, homologues of which are implicated in phosphorylation of FRQ in Neurospora crassa. On the other hand, a shortage in the number of the pathogenicity related PTH11-type G-protein coupled receptors (GPCRs) as well as a lack of microbial opsins was detected. Considering its efficient enzyme system for breakdown of cellulosic materials, it came as a surprise that H. jecorina does not possess a carbon sensing GPCR.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)

Sponsoring Organization:: Austrian Science Fund; USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1626468

Journal Information:: BMC Genomics, Journal Name: BMC Genomics Journal Issue: 1 Vol. 9; ISSN 1471-2164

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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Additional file 10 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905846	dataset	January 2021
Additional file 1 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905849	image	January 2021
Additional file 2 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905852.v1	image	January 2021
Additional file 6 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905867.v1	dataset	January 2021
Additional file 7 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905870	dataset	January 2021
Additional file 8 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905873	dataset	January 2021
Additional file 9 of Comparative transcriptome analysis of Trichoderma reesei reveals different gene regulatory networks induced by synthetic mixtures of glucose and β-disaccharide Li, Yonghao; Yu, Jingze; Zhang, Peng figshare https://doi.org/10.6084/m9.figshare.14905879.v1	dataset	January 2021
Additional file 2 of Sorbicillinoids hyperproduction without affecting the cellulosic enzyme production in Trichoderma reesei JNTR5 Li, Chengcheng; Gu, Ruihan; Lin, Fengming figshare https://doi.org/10.6084/m9.figshare.20552176.v1	dataset	January 2022
Additional file 2 of RGS4 impacts carbohydrate and siderophore metabolism in Trichoderma reesei Schalamun, Miriam; Molin, Eva Maria; Schmoll, Monika figshare https://doi.org/10.6084/m9.figshare.23621317	dataset	January 2023
Additional file 3 of RGS4 impacts carbohydrate and siderophore metabolism in Trichoderma reesei Schalamun, Miriam; Molin, Eva Maria; Schmoll, Monika figshare https://doi.org/10.6084/m9.figshare.23621320.v1	dataset	January 2023
Trichoderma: the genomics of opportunistic success Druzhinina, Irina S.; Seidl-Seiboth, Verena; Herrera-Estrella, Alfredo Nature Reviews Microbiology, Vol. 9, Issue 10 https://doi.org/10.1038/nrmicro2637	journal	September 2011
The Duality of the MAPK Signaling Pathway in the Control of Metabolic Processes and Cellulase Production in Trichoderma reesei de Paula, Renato Graciano; Antoniêto, Amanda Cristina Campos; Carraro, Cláudia Batista Scientific Reports, Vol. 8, Issue 1 https://doi.org/10.1038/s41598-018-33383-1	journal	October 2018
ENVOY Is a Major Determinant in Regulation of Sexual Development in Hypocrea jecorina ( Trichoderma reesei ) Seibel, Christian; Tisch, Doris; Kubicek, Christian P. Eukaryotic Cell, Vol. 11, Issue 7 https://doi.org/10.1128/ec.05321-11	journal	May 2012
The Genomes of Three Uneven Siblings: Footprints of the Lifestyles of Three Trichoderma Species Schmoll, Monika; Dattenböck, Christoph; Carreras-Villaseñor, Nohemí Microbiology and Molecular Biology Reviews, Vol. 80, Issue 1 https://doi.org/10.1128/mmbr.00040-15	journal	February 2016
Correlation of gene expression and protein production rate - a system wide study Arvas, Mikko; Pakula, Tiina; Smit, Bart BMC Genomics, Vol. 12, Issue 1 https://doi.org/10.1186/1471-2164-12-616	journal	December 2011
Comparative analysis of the repertoire of G protein-coupled receptors of three species of the fungal genus Trichoderma Gruber, Sabine; Omann, Markus; Zeilinger, Susanne BMC Microbiology, Vol. 13, Issue 1 https://doi.org/10.1186/1471-2180-13-108	journal	January 2013
N,N-dimethylformamide induces cellulase production in the filamentous fungus Trichoderma reesei Chen, Yumeng; Wu, Chuan; Shen, Yaling Biotechnology for Biofuels, Vol. 12, Issue 1 https://doi.org/10.1186/s13068-019-1375-1	journal	February 2019
RNA-sequencing reveals the complexities of the transcriptional response to lignocellulosic biofuel substrates in Aspergillus niger Pullan, Steven T.; Daly, Paul; Delmas, Stéphane Fungal Biology and Biotechnology, Vol. 1, Issue 1 https://doi.org/10.1186/s40694-014-0003-x	journal	November 2014
Functional Genomic Analysis of Aspergillus flavus Interacting with Resistant and Susceptible Peanut Wang, Houmiao; Lei, Yong; Yan, Liying Toxins, Vol. 8, Issue 2 https://doi.org/10.3390/toxins8020046	journal	February 2016

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