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

Is evolution predictable? Quantitative genetics under complex genotype-phenotype maps.

Evolution; international journal of organic evolution - 1 Feb 2020

Milocco Lisandro, Salazar-Ciudad Isaac

Abstract excerpt

A fundamental aim of post-genomic 21st century biology is to understand the genotype-phenotype map (GPM) or how specific genetic variation relates to specific phenotypic variation. Quantitative genetics approximates such maps using linear models, and has developed methods to predict the response to selection in a population. The other major field of research concerned with the GPM, developmental evolutionary...

Read the complete abstract on PubMed

Topics

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

Share to Biological Evolution
Share to Genetic Variation
Share to Genetics, Population

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Phenotype

Source

Identifiers

PMID: 31883344
DOI: 10.1111/evo.13907

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Is evolution predictable? Quantitative genetics under complex genotype-phenotype maps.PMID 31883344Read ↗

Evolution of the G Matrix under Nonlinear Genotype-Phenotype Maps.Semantic proximity Read ↗

Evolutionary quantitative genetics of nonlinear developmental systems.Semantic proximity Read ↗

Bridging developmental and statistical approaches to variation and evolution.Semantic proximity Read ↗

Utilizing developmental dynamics for evolutionary prediction and control.Semantic proximity Read ↗

Beyond genotype-phenotype maps: Toward a phenotype-centered perspective on evolution.Semantic proximity Read ↗

Modeling phenotypic plasticity in growth trajectories: a statistical framework.Semantic proximity Read ↗

Integrator networks: illuminating the black box linking genotype and phenotype.Semantic proximity Read ↗

The inheritance of process: a dynamical systems approach.Semantic proximity Read ↗

Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.Semantic proximity Read ↗

Developing the genotype-to-phenotype relationship in evolutionary theory: A primer of developmental features.Semantic proximity Read ↗

Mechanistic mapping of ontogenetic growth based on biological principles.Semantic proximity Read ↗

Cracking open the blackbox of genotype-phenotype map: crossing the explanatory gap between micro- and macroevolution.Semantic proximity Read ↗

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