Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products
Author(s) -
Paris S. Hamm,
Jennifer Hathaway,
Ara S. Winter,
Nicole A. Caimi,
Debbie C. Buecher,
Ernest W. Valdez,
Diana E. Northup
Publication year - 2022
Publication title -
fems microbes
Language(s) - English
Resource type - Journals
ISSN - 2633-6685
DOI - 10.1093/femsmc/xtac012
Subject(s) - actinobacteria , biology , phylogenetic tree , computational biology , polyketide synthase , polyketide , homology (biology) , genetics , metagenomics , subfamily , bacterial genome size , genome , gene , microbiome , phylogenetics , evolutionary biology , biosynthesis , 16s ribosomal rna
Polyketide synthases (PKS) are multi-domain enzymes in microorganisms that synthesize complex, bioactive molecules. PKS II systems are iterative, containing only a single representative of each domain: ketosynthase alpha (KS$\alpha$), ketosynthase beta, and the acyl carrier protein. Any gene encoding for one of these domains is representative of an entire PKS II biosynthetic gene cluster (BGC). Bat skin surfaces represent an extreme environment prolific in Actinobacteria that may constitute a source for bioactive molecule discovery. KS$\alpha$ sequences were obtained from culturable bacteria from bats in the southwestern United States. From 467 bat bacterial isolates, we detected 215 (46%) had KS$\alpha$ sequences. Sequencing yielded 210 operational taxonomic units (OTUs), and phylogenetic placement found 45 (21%) shared less than 85% homology to characterized metabolites. Additionally, 16 Actinobacteria genomes from the bat microbiome were sequenced and analyzed for biosynthetic capacity. A range of 69% to 93% of the BGCs were novel suggesting the bat microbiome may contain valuable uncharacterized natural products. Documenting and characterizing these are important in understanding the susceptibility of bats to emerging infectious diseases, like white-nose syndrome. Also noteworthy was the relationship between KS$\alpha$ homology and total BGC novelty within each fully sequenced strain. We propose amplification and detection of KS$\alpha$ could predict a strain's global biosynthetic capacity.
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