The evolutionary processes of bacterial aromatic polyketide ketosynthases

Abstract Background The biosynthesis of bacterial aromatic polyketides (type II polyketides, T2PKs) employs a single set of catalysts (ketosynthases, KSs or KS α , with chain length factors, CLFs or KS β ) and iteratively assembles a carbon backbone with precise chain length control. Considering the increasing number of T2PKs discovered in laboratory settings, it is necessary to understand the evolutionary trajectories of KSs and CLFs. Results We employ our recently developed algorithm, MAAPE, based on large protein language model to glean insights into the evolution process of KSs and CLFs. Our findings indicate the evolutionary history of KS and CLF domains from bacterial T2PKSs and identify a shared ancestral cluster (Cluster A), supporting a common origin. Despite structural homology, KSs and CLFs followed distinct evolutionary paths, shaped by coevolution and early horizontal gene transfer. Conclusions Understanding the evolutionary lineage of these enzymes will illuminate the natural optimization processes of their functions and present opportunities for the rational design of novel polyketides with enhanced efficacy.

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Publication Details

Journal
Genome biology
Published
2026-07-25
DOI
https://doi.org/10.1186/s13059-026-04215-7
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
0.00

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article

The evolutionary processes of bacterial aromatic polyketide ketosynthases

X Wang, Zhiwei Qin, Qiandi Gao, Liangjun Ge
Genome biology
Microbial Natural Products and Biosynthesis
article

The evolutionary processes of bacterial aromatic polyketide ketosynthases

X Wang, Zhiwei Qin, Qiandi Gao, Liangjun Ge
article en

Abstract

Abstract Background The biosynthesis of bacterial aromatic polyketides (type II polyketides, T2PKs) employs a single set of catalysts (ketosynthases, KSs or KS α , with chain length factors, CLFs or KS β ) and iteratively assembles a carbon backbone with precise chain length control. Considering the increasing number of T2PKs discovered in laboratory settings, it is necessary to understand the evolutionary trajectories of KSs and CLFs. Results We employ our recently developed algorithm, MAAPE, based on large protein language model to glean insights into the evolution process of KSs and CLFs. Our findings indicate the evolutionary history of KS and CLF domains from bacterial T2PKSs and identify a shared ancestral cluster (Cluster A), supporting a common origin. Despite structural homology, KSs and CLFs followed distinct evolutionary paths, shaped by coevolution and early horizontal gene transfer. Conclusions Understanding the evolutionary lineage of these enzymes will illuminate the natural optimization processes of their functions and present opportunities for the rational design of novel polyketides with enhanced efficacy.

Genome biology
Beijing Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 10%
Microbial Natural Products and Biosynthesis
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