ArticleProceedings of the National Academy of Sciences of the United States of America2019
Predicting microbial growth in a mixed culture from growth curve data.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 76 papers.
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.
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.
Who cites it
76 citing papers in PubMed.
- Cross-feeding enables robust coexistence between four bacterial species.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Extremal events dictate population growth rate inference.PLoS computational biology · 2026Article
- Comparative genomic, phenotypic, and clinical characterization of ST11-KL25 and ST11-KL64 hypervirulent carbapenem-resistantAntimicrobial agents and chemotherapy · 2026Article
- Determinants of metal import and specificity in a bacterial transporter.bioRxiv : the preprint server for biology · 2026Article
- Mechanistic two-pathway modeling of substrate inhibition in lactic acid bacteria for enhanced fermentation control.Quantitative biology (Beijing, China) · 2026Article
- Emergent coexistence and the limits of reductionism in ecological communities.PLoS computational biology · 2026Article
- Inferring bacterial cell size dynamics across media conditions.Scientific reports · 2026Article
- Hurdles to horizontal gene transfer: species-specific effects of synonymous variation and plasmid copy number determine antibiotic resistance phenotype.Microbiology (Reading, England) · 2026Article
- Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.Computational and structural biotechnology journal · 2026Article
- Elevated temperature exacerbates red sore disease caused byFrontiers in microbiology · 2026Article
- A foundation model for microbial growth dynamics.bioRxiv : the preprint server for biology · 2025Article
- Genomic adaptation of an autochthonous cider yeast strain to buckwheat and barley wort under stressful brewing conditions.Applied and environmental microbiology · 2025Article
- Functional interplay between RND efflux pumps and GacS inApplied and environmental microbiology · 2025Article
- Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont.Nature communications · 2025Article
- Population Dynamics of Escherichia coli Growing under Chemically Defined Media.Scientific data · 2025Article
- An auxin-inducible degron system for conditional mutation in the fungal meningitis pathogen Cryptococcus neoformans.G3 (Bethesda, Md.) · 2025Article
- Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics.PLoS computational biology · 2025Article
- Impact of micro-habitat fragmentation on microbial population growth dynamics.The ISME journal · 2025Article
- Quantifying Competitive Fitness in Yeast with High-Throughput Fluorescence Microscopy Imaging.Current protocols · 2025Article
- Prediction of key biological processes from intercellular DNA damage differences through model-based fitting.iScience · 2024Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining the fitness of specific microbial genotypes has extensive application in microbial genetics, evolution, and biotechnology. While estimates from growth curves are simple and allow high throughput, they are inaccurate and do not account for interactions between costs and benefits accruing over different parts of a growth cycle. For this reason, pairwise competition experiments are the current "gold standard" for accurate estimation of fitness. However, competition experiments require distinct markers, making them difficult to perform between isolates derived from a common ancestor or between isolates of nonmodel organisms. In addition, competition experiments require that competing strains be grown in the same environment, so they cannot be used to infer the fitness consequence of different environmental perturbations on the same genotype. Finally, competition experiments typically consider only the end-points of a period of competition so that they do not readily provide information on the growth differences that underlie competitive ability. Here, we describe a computational approach for predicting density-dependent microbial growth in a mixed culture utilizing data from monoculture and mixed-culture growth curves. We validate this approach using 2 different experiments with
Indexed as
Identifiers
What OpenQuestion holds
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.