ArticleCommunications biology2024
Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- EngineeringBiomolecules · 2026Article
- Growth dynamics of 3,909 Escherichia coli single-gene knockouts in rich and minimal media.Scientific data · 2026Article
- Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.Computational and structural biotechnology journal · 2026Article
- Behavioural phase transitions in the migratory locust,ISME communications · 2026Article
- Data-driven analysis reveals distinct genomic and environmental contributions to bacterial growth curves.Scientific reports · 2025Article
- Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.Scientific reports · 2025Article
- Population Dynamics of Escherichia coli Growing under Chemically Defined Media.Scientific data · 2025Article
- Explainable rule-based prediction of cultivation media for microbes.Computational and structural biotechnology journal · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A complex interplay of genetic and environmental factors influences bacterial growth. Understanding these interactions is crucial for insights into complex living systems. This study employs a data-driven approach to uncover the principles governing bacterial growth changes due to genetic and environmental variation. A pilot survey is conducted across 115 Escherichia coli strains and 135 synthetic media comprising 45 chemicals, generating 13,944 growth profiles. Machine learning analyzes this dataset to predict the chemicals' priorities for bacterial growth. The primary gene-chemical networks are structured hierarchically, with glucose playing a pivotal role. Offset in bacterial growth changes is frequently observed across 1,445,840 combinations of strains and media, with its magnitude correlating to individual alterations in strains or media. This counterbalance in the gene-chemical interplay is supposed to be a general feature beneficial for bacterial population growth.
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Registered trials
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.