ArticleGenetics2016
Evolution of the Genotype-to-Phenotype Map and the Cost of Pleiotropy in Mammals.
Article in Genetics, 2016. 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
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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.
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.
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Who cites it
10 citing papers in PubMed, 36 citations in OpenAlex.
- Evolutionary Dynamics of Oncosuppression Under Selection Pressure.Life (Basel, Switzerland) · 2025Article
- Gene-environment interactions modulate the phenotype severity in mouse models of congenital craniofacial syndromes.The Journal of clinical investigation · 2025Article
- Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior.PloS one · 2024Article
- Evidence for an evo-devo-derived hypothesis on three-dimensional flower shape modularity in a tropical orchid clade.Evolution; international journal of organic evolution · 2022Article
- Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping.PLoS biology · 2020Article
- Measuring the magnitude of morphological integration: The effect of differences in morphometric representations and the inclusion of size.Evolution; international journal of organic evolution · 2019Article
- Integrating natural history collections and comparative genomics to study the genetic architecture of convergent evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Developmental processes regulate craniofacial variation in disease and evolution.Genesis (New York, N.Y. : 2000) · 2019Review
- The evolution of phenotypic integration: How directional selection reshapes covariation in mice.Evolution; international journal of organic evolution · 2017Article
- Novel Candidate Genes Underlying Extreme Trophic Specialization in Caribbean Pupfishes.Molecular biology and 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
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Evolutionary studies have long emphasized that the genetic architecture of traits holds important microevolutionary consequences. Yet, studies comparing the genetic architecture of traits across species are rare, and discussions of the evolution of genetic systems are made on theoretical arguments rather than on empirical evidence. Here, we compared the genetic architecture of cranial traits in two different mammalian model organisms: the gray short-tailed opossum, Monodelphis domestica, and the laboratory mouse, Mus musculus We show that both organisms share a highly polygenic genetic architecture for craniofacial traits, with many loci of small effect. However, these two model species differ significantly in the overall degree of pleiotropy, N, of the genotype-to-phenotype map, with opossums presenting a higher average N They also diverge in their degree of genetic modularity, with opossums presenting less modular patterns of genetic association among traits. We argue that such differences highlight the context dependency of gene effects, with developmental systems shaping the variational properties of genetic systems. Finally, we also demonstrate based on the opossum data that current measurements for the relationship between the mutational effect size and N need to be re-evaluated in relation to the importance of the cost of pleiotropy for mammals.
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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.