ReviewEvolutionary applications2019
Recent insights into the genotype-phenotype relationship from massively parallel genetic assays.
Review in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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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.
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Who cites it
42 citing papers in PubMed.
- The shape of fitness functions and the distribution of mutational effect sizes jointly limit adaptation by regulatory mutations.Nature ecology & evolution · 2026Article
- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Accessible and robust machine learning approaches to improve the opsin genotype-phenotype map.Molecular biology and evolution · 2026Article
- Genotype-phenotype modeling of light ecotypes inbioRxiv : the preprint server for biology · 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
- D-LIM: A neural network for interpretable gene-gene interactions.PLoS computational biology · 2026Article
- Using TraDIS as a complementary approach to long term evolution for mapping adaptive mutations in Escherichia coli.PLoS genetics · 2026Article
- Deep Mutational Scanning in Immunology: Techniques and Applications.Pathogens (Basel, Switzerland) · 2025Review
- The structure of an ancient genotype-phenotype map shaped the functional evolution of a protein family.Nature ecology & evolution · 2025Article
- A mathematical framework for the quantitative analysis of genetic buffering.PLoS genetics · 2025Article
- The structure of an ancient genotype-phenotype map shaped the functional evolution of a protein family.bioRxiv : the preprint server for biology · 2025Article
- Establishing a Structured Hypospadias Biobank Cohort for Integrated Research: Methodology, Comprehensive Database Integration, and Phenotyping.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- Formalizing the law of diminishing returns in metabolic networks using an electrical analogy.Royal Society open science · 2024Article
- Changing fitness effects of mutations through long-term bacterial evolution.Science (New York, N.Y.) · 2024Article
- Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD).GigaScience · 2024Article
- Evaluating the Accuracy of Methods for Detecting Correlated Rates of Molecular and Morphological Evolution.Systematic biology · 2023Article
- Transcriptomic profiling reveals host-specific evolutionary pathways promoting enhanced fitness in the plant pathogenMicrobial genomics · 2023Article
- Missed connections: Exploring features of undergraduate biology students' knowledge networks relating gene regulation, cell-cell communication, and phenotypic expression.CBE life sciences education · 2023Article
- Epistasis and evolution: recent advances and an outlook for prediction.BMC biology · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the molecular revolution in Biology, a mechanistic understanding of the genotype-phenotype relationship became possible. Recently, advances in DNA synthesis and sequencing have enabled the development of deep mutational scanning assays, capable of scoring comprehensive libraries of genotypes for fitness and a variety of phenotypes in massively parallel fashion. The resulting empirical genotype-fitness maps pave the way to predictive models, potentially accelerating our ability to anticipate the behaviour of pathogen and cancerous cell populations from sequencing data. Besides from cellular fitness, phenotypes of direct application in industry (
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Registered trials
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