Evidence map›Paper›PMID 40987804›Full record

ArticleScientific reports2025

Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.

Shuyang Zhang, Bei-Wen Ying

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shuyang ZhangSchool of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan.
Bei-Wen YingSchool of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8572, Japan. ying.beiwen.gf@u.tsukuba.ac.jp.

Funding

Japan Society for the Promotion of Science 25K02259JST SPRING JPMJSP2124
6 · The paper itself

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.

Indexed as

BacteriaBiological EvolutionGenetic FitnessCulture MediaEcosystemPhylogenyCulture MediaBacterial population dynamicsBiogeographic traitsCarrying capacityExperimental ecologyFitness landscapeGrowth rateMachine learningMediumNutritional nichePhylogenetic tree

Identifiers

PMID40987804
PMCPMC12457625

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.