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Schalamun M, Schmoll M. Trichoderma - genomes and genomics as treasure troves for research towards biology, biotechnology and agriculture. FRONTIERS IN FUNGAL BIOLOGY 2022; 3:1002161. [PMID: 37746224 PMCID: PMC10512326 DOI: 10.3389/ffunb.2022.1002161] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 08/25/2022] [Indexed: 09/26/2023]
Abstract
The genus Trichoderma is among the best studied groups of filamentous fungi, largely because of its high relevance in applications from agriculture to enzyme biosynthesis to biofuel production. However, the physiological competences of these fungi, that led to these beneficial applications are intriguing also from a scientific and ecological point of view. This review therefore summarizes recent developments in studies of fungal genomes, updates on previously started genome annotation efforts and novel discoveries as well as efforts towards bioprospecting for enzymes and bioactive compounds such as cellulases, enzymes degrading xenobiotics and metabolites with potential pharmaceutical value. Thereby insights are provided into genomes, mitochondrial genomes and genomes of mycoviruses of Trichoderma strains relevant for enzyme production, biocontrol and mycoremediation. In several cases, production of bioactive compounds could be associated with responsible genes or clusters and bioremediation capabilities could be supported or predicted using genome information. Insights into evolution of the genus Trichoderma revealed large scale horizontal gene transfer, predominantly of CAZyme genes, but also secondary metabolite clusters. Investigation of sexual development showed that Trichoderma species are competent of repeat induced point mutation (RIP) and in some cases, segmental aneuploidy was observed. Some random mutants finally gave away their crucial mutations like T. reesei QM9978 and QM9136 and the fertility defect of QM6a was traced back to its gene defect. The Trichoderma core genome was narrowed down to 7000 genes and gene clustering was investigated in the genomes of multiple species. Finally, recent developments in application of CRISPR/Cas9 in Trichoderma, cloning and expression strategies for the workhorse T. reesei as well as the use genome mining tools for bioprospecting Trichoderma are highlighted. The intriguing new findings on evolution, genomics and physiology highlight emerging trends and illustrate worthwhile perspectives in diverse fields of research with Trichoderma.
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Affiliation(s)
- Miriam Schalamun
- Center for Health and Bioresources, AIT Austrian Institute of Technology GmbH, Tulln, Austria
| | - Monika Schmoll
- Department of Microbiology and Ecosystem Science, Division of Terrestrial Ecosystem Research, University of Vienna, Vienna, Austria
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Rush TA, Shrestha HK, Gopalakrishnan Meena M, Spangler MK, Ellis JC, Labbé JL, Abraham PE. Bioprospecting Trichoderma: A Systematic Roadmap to Screen Genomes and Natural Products for Biocontrol Applications. FRONTIERS IN FUNGAL BIOLOGY 2021; 2:716511. [PMID: 37744103 PMCID: PMC10512312 DOI: 10.3389/ffunb.2021.716511] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/10/2021] [Indexed: 09/26/2023]
Abstract
Natural products derived from microbes are crucial innovations that would help in reaching sustainability development goals worldwide while achieving bioeconomic growth. Trichoderma species are well-studied model fungal organisms used for their biocontrol properties with great potential to alleviate the use of agrochemicals in agriculture. However, identifying and characterizing effective natural products in novel species or strains as biological control products remains a meticulous process with many known challenges to be navigated. Integration of recent advancements in various "omics" technologies, next generation biodesign, machine learning, and artificial intelligence approaches could greatly advance bioprospecting goals. Herein, we propose a roadmap for assessing the potential impact of already known or newly discovered Trichoderma species for biocontrol applications. By screening publicly available Trichoderma genome sequences, we first highlight the prevalence of putative biosynthetic gene clusters and antimicrobial peptides among genomes as an initial step toward predicting which organisms could increase the diversity of natural products. Next, we discuss high-throughput methods for screening organisms to discover and characterize natural products and how these findings impact both fundamental and applied research fields.
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Affiliation(s)
- Tomás A. Rush
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
| | - Him K. Shrestha
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | | | - Margaret K. Spangler
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - J. Christopher Ellis
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
| | - Jesse L. Labbé
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - Paul E. Abraham
- Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Knoxville, TN, United States
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