ReviewNature reviews. Genetics2026
Experimental evolution in an era of molecular manipulation.
Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Deconstructing empirical fitness seascapes across scales of granularity.G3 (Bethesda, Md.) · 2026Article
- GeneScanner: profiling genetic variation across bacterial populations.Microbial genomics · 2026Article
- Descent from a common ancestor restricts exploration of protein sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026Article
- Article
- Microbial ecology and evolution in the genomics era.Nature reviews. Genetics · 2026Article
- An experimental outlook on investigating temporal-scale dynamics of microbial communities.ISME communications · 2026Article
- Nearly a century of discoveries in bacterial genetics and their continuing impact on the field.G3 (Bethesda, Md.) · 2025Article
- Nearly a century of discoveries in bacterial genetics and their continuing impact on the field.Genetics · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laboratory evolution experiments in microbial and viral populations have provided great insight into the dynamics and predictability of evolution. The rise of high-throughput sequencing technologies over the past two decades has driven a massive expansion in the scale and power of these experiments. However, until recently our abilities to connect genetic with phenotypic changes and analyse the molecular basis of adaptation have remained limited. Rapid technical advances to measure and manipulate both genotypes and phenotypes are now providing opportunities to investigate the genetic basis of phenotypic evolution and the forces that drive evolutionary dynamics. Here we review how these methodological advances are being used to predict and manipulate the course of laboratory evolution, analyse eco-evolutionary interactions, and how they are beginning to bridge the gap between laboratory and natural evolution.
Indexed as
Identifiers
40691351What 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.