Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi

Wilken, St. Elmo; Seppälä, Susanna; Lankiewicz, Thomas S.; Saxena, Mohan; Henske, John K.; Salamov, Asaf A.; Grigoriev, Igor V.; O’Malley, Michelle A.

doi:10.1016/j.mec.2019.e00107

Title: Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi

Journal Article · Mon Jun 01 00:00:00 EDT 2020 · Metabolic Engineering Communications

DOI:https://doi.org/10.1016/j.mec.2019.e00107· OSTI ID:1575291

Wilken, St. Elmo; Seppälä, Susanna; Lankiewicz, Thomas S.; Saxena, Mohan; Henske, John K.; Salamov, Asaf A.; Grigoriev, Igor V.; O’Malley, Michelle A.

Anaerobic fungi (Neocallimastigomycota) are emerging non-model hosts for biotechnology due to their wealth of biomass-degrading enzymes, yet tools to engineer these fungi have not yet been established. Here, we show that the anaerobic gut fungi have the most GC depleted genomes among 443 sequenced organisms in the fungal kingdom, which has ramifications for heterologous expression of genes as well as for emerging CRISPR-based genome engineering approaches. Comparative genomic analyses suggest that anaerobic fungi may contain cellular machinery to aid in sexual reproduction, yet a complete mating pathway was not identified. Predicted proteomes of the anaerobic fungi also contain an unusually large fraction of proteins with homopolymeric amino acid runs consisting of five or more identical consecutive amino acids. In particular, threonine runs are especially enriched in anaerobic fungal carbohydrate active enzymes (CAZymes) and this, together with a high abundance of predicted N-glycosylation motifs, suggests that gut fungal CAZymes are heavily glycosylated, which may impact heterologous production of these biotechnologically useful enzymes. Finally, we present a codon optimization strategy to aid in the development of genetic engineering tools tailored to these early-branching anaerobic fungi.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)

Grant/Contract Number:: SC0010352; AC02-05CH11231; W911NF-19–D-0001

OSTI ID:: 1575291

Alternate ID(s):: OSTI ID: 1615329

Journal Information:: Metabolic Engineering Communications, Journal Name: Metabolic Engineering Communications Vol. 10 Journal Issue: C; ISSN 2214-0301

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
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Title: Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi

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