Abstract
Trichoderma, a filamentous ascomycete, belonging to order Hypocreales, is well-known for its ability to secrete a number of glycosyl hydrolases and other enzymes. The ability of Trichoderma strains to produce a heterologous group of enzymes contributes to its broad substrate versatility and nutritional shift and makes it a model microbe and industrial cell factory for biofuels and agricultural industries. The multifactorial roles offer tremendous scope, to understand the genomic plasticity of Trichoderma species which can be helpful in investigating its adaptive signatures under various ecological conditions. Recent developments in genomes, transcriptomes, and proteomes coupled to in silico tools have played a vital role in unraveling the industrially relevant enzymes of Trichoderma. Metabolic modeling involving whole-genome stoichiometric tools and integrated transcriptomic and advanced proteomics studies has played a crucial role in exploring the potential applications of Trichoderma. Moreover, synthetic biology, genetic engineering, and genome reshuffling-based approaches offer potential to mine cryptic processes which are otherwise silent in lab conditions. In silico predictions and experimental studies have revealed the role of oxidative enzymes in the degradation of lignocellulose. Still, the physiology and evolution of adaptive strategy of Trichoderma lifestyle are elusive and need considerable efforts. In this book chapter, an attempt has been made to review different approaches for mining genes/proteins for characterizing their role in biofuels.
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Acknowledgment
Authors are thankful to SEED division, DST, and GOI for the award of the project under Scheme for Young Scientists and Technologists (SP/YO/125/2017).
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Salwan, R., Sharma, A., Sharma, V. (2020). Recent Advances in Molecular Approaches for Mining Potential Candidate Genes of Trichoderma for Biofuel. In: Hesham, AL., Upadhyay, R., Sharma, G., Manoharachary, C., Gupta, V. (eds) Fungal Biotechnology and Bioengineering. Fungal Biology. Springer, Cham. https://doi.org/10.1007/978-3-030-41870-0_6
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