Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics

Bacteria are known to allocate their proteomes according to how fast they grow, and the allocation strategies employed strongly affect bacterial adaptation to different environments. Much of what is currently known about proteome allocation is based on extensive studies of the model organism <i>Escherichia coli</i>. It is not clear how much of <i>E. coli</i>'s proteome allocation strategy is applicable to other species, particularly since different species can grow at vastly different rates even in the same growth condition. In this study, we investigate differences in nutrient-dependent proteome allocation programs adopted by several distantly related bacterial species, including <i>Vibrio natriegens</i>, one of the fastest-growing bacteria known. Extensive quantitative proteome characterization across conditions reveals an invariant allocation program in response to changing nutrients despite systemic, species-specific differences in enzyme kinetics. This invariant program is not organized according to the growth rate but is based on a common internal metric of nutrient quality after scaling away species-specific differences in enzyme kinetics, with the faster species behaving as if it is growing under a higher temperature. The flexibility of enzyme kinetics and the rigidity of proteome allocation programs across species defy common notions of evolvability and resource optimization. Our results suggest the existence of a blueprint of proteome allocation shared by diverse bacterial species, with implications on common underlying regulatory strategies. Further knowledge on the existence and organization of such phylogeny-transcending relations also promises to simplify the bottom-up description and understanding of bacterial behaviors in ecological communities.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-04-29
DOI
https://doi.org/10.1073/pnas.2427091122
Citations
10
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
18.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics

Manlu Zhu, Terence Hwa B, Xiongfeng Dai, Matteo Mori
10 citations
Proceedings of the National Academy of Sciences
Evolution and Genetic Dynamics
18.17
article

Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics

Manlu Zhu, Terence Hwa B, Xiongfeng Dai, Matteo Mori
article en
10 citations

Abstract

Bacteria are known to allocate their proteomes according to how fast they grow, and the allocation strategies employed strongly affect bacterial adaptation to different environments. Much of what is currently known about proteome allocation is based on extensive studies of the model organism <i>Escherichia coli</i>. It is not clear how much of <i>E. coli</i>'s proteome allocation strategy is applicable to other species, particularly since different species can grow at vastly different rates even in the same growth condition. In this study, we investigate differences in nutrient-dependent proteome allocation programs adopted by several distantly related bacterial species, including <i>Vibrio natriegens</i>, one of the fastest-growing bacteria known. Extensive quantitative proteome characterization across conditions reveals an invariant allocation program in response to changing nutrients despite systemic, species-specific differences in enzyme kinetics. This invariant program is not organized according to the growth rate but is based on a common internal metric of nutrient quality after scaling away species-specific differences in enzyme kinetics, with the faster species behaving as if it is growing under a higher temperature. The flexibility of enzyme kinetics and the rigidity of proteome allocation programs across species defy common notions of evolvability and resource optimization. Our results suggest the existence of a blueprint of proteome allocation shared by diverse bacterial species, with implications on common underlying regulatory strategies. Further knowledge on the existence and organization of such phylogeny-transcending relations also promises to simplify the bottom-up description and understanding of bacterial behaviors in ecological communities.

Proceedings of the National Academy of SciencesVol. 122(18)
University of California San Diego (US), Central China Normal University (CN)
Simons Foundation, Human Frontier Science Program, National Natural Science Foundation of China, National Institutes of Health, National Key Research and Development Program of China, Science Fund for Distinguished Young Scholars of Hubei Province, National Institute of General Medical Sciences
Openalex Percentile: Top 1%
Evolution and Genetic Dynamics
18.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.