Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Environmental selection and epistasis in an empirical phenotype-environment-fitness landscape.

Nature ecology & evolution - 1 Apr 2022

Chen J Z, Fowler D M, Tokuriki N

Abstract excerpt

Fitness landscapes, mappings of genotype/phenotype to their effects on fitness, are invaluable concepts in evolutionary biochemistry. Although widely discussed, measurements of phenotype-fitness landscapes in proteins remain scarce. Here, we quantify all single mutational effects on fitness and phenotype (EC50) of VIM-2 β-lactamase across a 64-fold range of ampicillin concentrations. We then construct a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Epistasis, Genetic
Share to Genetic Fitness
Share to Models, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Phenotype

Share to Proteins

Source

Identifiers

PMID: 35210579
DOI: 10.1038/s41559-022-01675-5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Environmental selection and epistasis in an empirical phenotype-environment-fitness landscape.PMID 35210579Read ↗

Shifting Fitness and Epistatic Landscapes Reflect Trade-offs along an Evolutionary Pathway.Semantic proximity Read ↗

Differential strengths of molecular determinants guide environment specific mutational fates.Semantic proximity Read ↗

Evolutionary mechanisms studied through protein fitness landscapes.Semantic proximity Read ↗

Higher-order epistasis drives evolutionary unpredictability toward novel antibiotic resistanceSemantic proximity Read ↗

Quantitative Description of a Protein Fitness Landscape Based on Molecular Features.Semantic proximity Read ↗

Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape.Semantic proximity Read ↗

Single-mutation fitness landscapes for an enzyme on multiple substrates reveal specificity is globally encoded.Semantic proximity Read ↗

Environmental modulation of global epistasis in a drug resistance fitness landscape.Semantic proximity Read ↗

Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype.Semantic proximity Read ↗

Adaptive protein evolution grants organismal fitness by improving catalysis and flexibility.Semantic proximity Read ↗

Capturing the mutational landscape of the beta-lactamase TEM-1.Semantic proximity Read ↗

Dynamic landscapes: a model of context and contingency in evolution.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.