The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
GENETIC COVARIANCE OF FITNESS CORRELATES: WHAT GENETIC CORRELATIONS ARE MADE OF AND WHY IT MATTERS
Open accessAbstract
The genetic variance-covariance matrix, G, is determined in part by functional architecture, the pathways by which variation in genotype influences phenotype. I develop a simple architectural model for G for two traits under directional selection constrained by their dependence on a common limiting resource. I assume that genetic variance is maintained by mutation-selection balance. The relative numbers of loci that play a role in acquiring versus allocating a limiting resource play a crucial role in determining genetic covariance. If many loci are involved in acquiring a resource, genetic covariance may be either negative or positive at equilibrium, depending on the fitness function and the input of mutational variance. The form of G does not necessarily reveal the constraint on resource acquisition inherent in the system, and therefore studies estimating G do not test for the existence of life-history tradeoffs. Characters may evolve in patterns that are unpredictable from G. Experiments are suggested that would indicate if this model could explain observations of positive genetic covariance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY
Lande, R. (1979) · Evolution · doi:10.1111/j.1558-5646.1979.tb04694.x · Cited by 2,648
EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?
Barton, N. H., & Turelli, M. (1989) · Annual Review of Genetics · doi:10.1146/annurev.ge.23.120189.002005 · Cited by 686
Cited by
The physiology of life history trade-offs in animals
Zera, A. J., & Harshman, L. G. (2001) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.32.081501.114006 · Cited by 1,577
The evolutionary genetics of personality
Penke, L., Denissen, J. J. A., & Miller, G. F. (2007) · European Journal of Personality · doi:10.1002/per.629 · Cited by 610
Hormones and the physiological architecture of life history evolution
Finch, C. E., & Rose, M. R. (1995) · The Quarterly Review of Biology · doi:10.1086/418864 · Cited by 376
A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology
Agrawal, A. A. (2020) · Ecology · doi:10.1002/ecy.2924 · Cited by 272
Natural selection and quantitative genetics of life-history traits in Western women: a twin study
Kirk, K. M., Blomberg, S. P., Duffy, D. L., Heath, A. C., Owens, I. P. F., & Martin, N. G. (2001) · Evolution · doi:10.1111/j.0014-3820.2001.tb01304.x · Cited by 245
Metadata
- Authors
- Houle, D.
- Venue
- Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-05
- Volume
- 45
- Issue
- 3
- Pages
- 630-648
- ISSN
- 0014-3820 (ISSN-L)
- 1558-5646
- OpenAlex
- W2025693284
- Cited by
- 582
- References
- 2
- FWCI
- 31.94
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.