ReviewNature reviews. Genetics2011
Systems-biology approaches for predicting genomic evolution.
Review in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled 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.
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
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning enables prediction of metabolic system evolution in bacteria.Science advances · 2023Pooled it
- Compensatory evolution to DNA replication stress is robust to nutrient availability.Molecular systems biology · 2025Article
- Environment-independent distribution of mutational effects emerges from microscopic epistasis.Science (New York, N.Y.) · 2024Article
- Environment-independent distribution of mutational effects emerges from microscopic epistasis.bioRxiv : the preprint server for biology · 2024Article
- The metabolic domestication syndrome of budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The chromatin source-sink hypothesis: a shared mode of chromatin-mediated regulations.Development (Cambridge, England) · 2023Article
- Quantitative systems-based prediction of antimicrobial resistance evolution.NPJ systems biology and applications · 2023Review
- Predicting evolution in experimental range expansions of an aquatic model system.Evolution letters · 2023Article
- Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- A tractable physical model for the yeast polarity predicts epistasis and fitness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Mucosal lesions of the upper gastrointestinal tract in patients with ulcerative colitis: A review.World journal of gastroenterology · 2021Review
- Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.PLoS computational biology · 2021Article
- Investigating the Evolution and Development of Biological Systems from the Perspective of Thermo-Kinetics and Systems Theory.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2020Review
- Article
- The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.Metabolic engineering · 2019Review
- Enzyme promiscuity shapes adaptation to novel growth substrates.Molecular systems biology · 2019Article
- Metabolic Determinants of Enzyme Evolution in a Genome-Scale Bacterial Metabolic Network.Genome biology and evolution · 2018Article
- Evolutionary Perspectives of Genotype-Phenotype Factors in Leishmania Metabolism.Journal of molecular evolution · 2018Article
- Analysis of essential gene dynamics under antibiotic stress in Streptococcus sanguinis.Microbiology (Reading, England) · 2018Article
- Evolution of complex adaptations in molecular systems.Nature ecology & evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Is evolution predictable at the molecular level? The ambitious goal to answer this question requires an understanding of the mutational effects that govern the complex relationship between genotype and phenotype. In practice, it involves integrating systems-biology modelling, microbial laboratory evolution experiments and large-scale mutational analyses - a feat that is made possible by the recent availability of the necessary computational tools and experimental techniques. This Review investigates recent progresses in mapping evolutionary trajectories and discusses the degree to which these predictions are realistic.
Indexed as
Identifiers
21808261What 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.