Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints

Understanding microbial dynamics in natural environments remains a significant challenge. As an alternative approach, studying model bacterial strains under well-defined laboratory conditions can reveal ecological niche patterns and evolutionary consequences in a controlled setting. Here, we evaluated bacterial growth dynamics to map fitness landscapes that may reflect natural processes experimentally. Six bacterial strains from a broad phylogenetic range were cultured individually across 195 distinct media, comprising 30 components, including both pure chemical compounds and natural ingredients. This approach generated 4,680 growth rate (r) and carrying capacity (K) pairs derived from growth curves spanning a broad range of nutritional conditions. Despite variations in growth profiles among strains, both positive and negative correlations in growth were observed across different media types. Notably, patterns of growth profiles showed strong concordance with known eco-evolutionary relationships, such as phylogenetic affiliations and biogeographic traits, suggesting that microbial responses to nutrient environments are evolutionarily conserved rather than arbitrary. Moreover, the medium components influencing r and K exhibited distinct patterns of generality and specificity, independently of their chemical properties or nutritional categories. These results demonstrate that bacterial fitness landscapes, reconstructed in laboratory conditions, serve as eco-evolutionary fingerprints, offering a proof-of-concept for experimental ecology. Our findings suggest that functional traits, such as growth, can provide a framework to explore trait-phylogeny relationships and offer insights that may inform future microbial design.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-09-23
DOI
https://doi.org/10.1038/s41598-025-17103-0
Citations
3
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
5.45

Funders

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

Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints

Yuanqiang Zhang, Bei‐Wen Ying
3 citations
Scientific Reports
Evolution and Genetic Dynamics
5.45
article

Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints

Yuanqiang Zhang, Bei‐Wen Ying
article en
3 citations

Abstract

Understanding microbial dynamics in natural environments remains a significant challenge. As an alternative approach, studying model bacterial strains under well-defined laboratory conditions can reveal ecological niche patterns and evolutionary consequences in a controlled setting. Here, we evaluated bacterial growth dynamics to map fitness landscapes that may reflect natural processes experimentally. Six bacterial strains from a broad phylogenetic range were cultured individually across 195 distinct media, comprising 30 components, including both pure chemical compounds and natural ingredients. This approach generated 4,680 growth rate (r) and carrying capacity (K) pairs derived from growth curves spanning a broad range of nutritional conditions. Despite variations in growth profiles among strains, both positive and negative correlations in growth were observed across different media types. Notably, patterns of growth profiles showed strong concordance with known eco-evolutionary relationships, such as phylogenetic affiliations and biogeographic traits, suggesting that microbial responses to nutrient environments are evolutionarily conserved rather than arbitrary. Moreover, the medium components influencing r and K exhibited distinct patterns of generality and specificity, independently of their chemical properties or nutritional categories. These results demonstrate that bacterial fitness landscapes, reconstructed in laboratory conditions, serve as eco-evolutionary fingerprints, offering a proof-of-concept for experimental ecology. Our findings suggest that functional traits, such as growth, can provide a framework to explore trait-phylogeny relationships and offer insights that may inform future microbial design.

Scientific ReportsVol. 15(1)
University of Tsukuba (JP)
Japan Society for the Promotion of Science, Institute of Genetics
Openalex Percentile: Top 4%
Evolution and Genetic Dynamics
5.45
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.