ArticlePLoS biology2020
Low mutational load and high mutation rate variation in gut commensal bacteria.
Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed, 80 citations in OpenAlex.
- Antimicrobial Resistance and Phylo-Groups ofAntibiotics (Basel, Switzerland) · 2026Article
- Emergence ofbioRxiv : the preprint server for biology · 2025Article
- Genomic Characterization and Antimicrobial Resistance Profile ofAntibiotics (Basel, Switzerland) · 2025Article
- The role of environmental stress in promoting mutators through evolutionary rescue: quantitative predictions.Genetics · 2025Article
- Effect of Mutations on the Evolution of Extended Spectrum β-lactamases (ESBL).The protein journal · 2025Review
- Functional consequences of genetic variations in DgoR, a GntR/FadR family transcriptional repressor of D-galactonate metabolism inJournal of bacteriology · 2025Article
- Clonal interference and genomic repair during strain coexistence in the gut.PLoS genetics · 2025Article
- Strain tracking in complex microbiomes using synteny analysis reveals per-species modes of evolution.Nature biotechnology · 2025Article
- Structural and evolutionary constraints shape adaptive landscapes of immune-related genes across mammalian phylogeny.PloS one · 2025Article
- Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024Review
- DeGenPrime provides robust primer design and optimization unlocking the biosphere.Bioinformatics advances · 2024Article
- Intrahost evolution of the gut microbiota.Nature reviews. Microbiology · 2023Review
- Article
- Shared Evolutionary Path in Social Microbiomes.Molecular biology and evolution · 2023Article
- Mutators can drive the evolution of multi-resistance to antibiotics.PLoS genetics · 2023Article
- Gut microbe Lactiplantibacillus plantarum undergoes different evolutionary trajectories between insects and mammals.BMC biology · 2022Article
- Gene flow and introgression are pervasive forces shaping the evolution of bacterial species.Genome biology · 2022Article
- Purifying selection enduringly acts on the sequence evolution of highly expressed proteins in Escherichia coli.G3 (Bethesda, Md.) · 2022Article
- Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function.mSystems · 2022Article
- Two modes of evolution shape bacterial strain diversity in the mammalian gut for thousands of generations.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacteria generally live in species-rich communities, such as the gut microbiota. Yet little is known about bacterial evolution in natural ecosystems. Here, we followed the long-term evolution of commensal Escherichia coli in the mouse gut. We observe the emergence of mutation rate polymorphism, ranging from wild-type levels to 1,000-fold higher. By combining experiments, whole-genome sequencing, and in silico simulations, we identify the molecular causes and explore the evolutionary conditions allowing these hypermutators to emerge and coexist within the microbiota. The hypermutator phenotype is caused by mutations in DNA polymerase III proofreading and catalytic subunits, which increase mutation rate by approximately 1,000-fold and stabilise hypermutator fitness, respectively. Strong mutation rate variation persists for >1,000 generations, with coexistence between lineages carrying 4 to >600 mutations. The in vivo molecular evolution pattern is consistent with fitness effects of deleterious mutations sd ≤ 10-4/generation, assuming a constant effect or exponentially distributed effects with a constant mean. Such effects are lower than typical in vitro estimates, leading to a low mutational load, an inference that is observed in in vivo and in vitro competitions. Despite large numbers of deleterious mutations, we identify multiple beneficial mutations that do not reach fixation over long periods of time. This indicates that the dynamics of beneficial mutations are not shaped by constant positive Darwinian selection but could be explained by other evolutionary mechanisms that maintain genetic diversity. Thus, microbial evolution in the gut is likely characterised by partial sweeps of beneficial mutations combined with hitchhiking of slightly deleterious mutations, which take a long time to be purged because they impose a low mutational load. The combination of these two processes could allow for the long-term maintenance of intraspecies genetic diversity, including mutation rate polymorphism. These results are consistent with the pattern of genetic polymorphism that is emerging from metagenomics studies of the human gut microbiota, suggesting that we have identified key evolutionary processes shaping the genetic composition of this community.
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.