Anaerobic fungi are emerging biotechnology platforms with genomes rich in biosynthetic potential. Yet, the heterologous expression of their biosynthetic pathways has had limited success in model hosts like . We find one reason for this is that the genome composition of anaerobic fungi like are extremely AT-biased with a particular preference for rare and semi-rare AT-rich tRNAs in , which are not explicitly predicted by standard codon adaptation indices (CAI). Native genes with these extreme biases create drastic growth defects in (up to 69% reduction in growth), which is not seen in genes from other organisms with similar CAIs. However, codon optimization rescues growth, allowing for gene evaluation. In this manner, we demonstrate that anaerobic fungal homologs such as are more active than homologs in a hybrid pathway, increasing the production of mevalonate up to 2.5 g/L (more than two-fold) and reducing waste carbon to acetate by ~90% under the conditions tested. This work demonstrates the bioproduction potential of anaerobic fungal enzyme homologs and how the analysis of codon utilization enables the study of otherwise difficult to express genes that have applications in biocatalysis and natural product discovery.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468974PMC
http://dx.doi.org/10.3390/microorganisms9091986DOI Listing

Publication Analysis

Top Keywords

anaerobic fungal
12
codon adaptation
8
adaptation indices
8
anaerobic fungi
8
anaerobic
5
fungal mevalonate
4
mevalonate pathway
4
pathway genomic
4
genomic biases
4
biases lead
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!