Cited by 686Evolution and Genetic DynamicsGenetic and phenotypic traits in livestockAnimal Behavior and Reproduction

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EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?

Barton, N. H., Turelli, Michael·1989·Annual Review of Genetics

DOI 10.1146/annurev.ge.23.120189.002005

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Abstract

Our emphasis is on the genetic basis of quantitative variation, and its effects on the evolution of quantitative. Our review indicates that few experiments approach basic issues such as the number of loci that contribute to within-population variation, the rate of polygenic mutation, the extent of pleiotropy, the mechanisms that maintain additive variance, and the reasons for reduced fitness of extreme phenotypes

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“…(multilocus) traits through mutation-selection balance have shown that random temporal variation in phenotypic fitnesses increases genetic variance not at all, or only slightly, over that maintained under constant stabilizing selection (Lande 1977; Turelli 1988; Barton and Turelli 1989).”
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“However, population genetic models indicate that some forms of natural selection can actively maintain variation at higher levels than are expected under the simple scenario (reviewed in Charlesworth 1987; Barton & Turelli 1989 ).”
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“Such strong selection in multiple directions in quick succession could prove detrimental to a population’s genetic diversity since it would reduce diversity within a population (Barton and Turelli 1989), especially as effective population size plummets.”
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Leroi, A. M., Rose, M. R., & LAUDER, G. V. (1994) · The American Naturalist · doi:10.1086/285609 · Cited by 220
“…in natural populations is ambiguous (see, e.g., Arnold 1981; Lofsvold 1986; Kohn and Atchley 1988; Cowley and Atchley 1990; other references in Barton and Turelli 1989), but there is at least one demonstration of evolved-differences in genetic covariance structure (Atchley et al. 1992).”
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Genomic mutation rates for lifetime reproductive output and lifespan in Caenorhabditis elegans
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Futuyma, D. J., Keese, M. C., & Funk, D. J. (1995) · Evolution · doi:10.1111/j.1558-5646.1995.tb02316.x · Cited by 209
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Dynamics of polygenic characters under selection
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“…the maintenance of genetic variation in mutation-selection balance, where model predictions depend on genetic details that are unobservable in practice (Turelli 1984; Barton and Turelli 1989), and this is even before the complexities of epistasis were added to the picture (Hermisson et al. 2003).”
Background
QUANTITATIVE GENETICS IN PLANTS: THE EFFECT OF THE BREEDING SYSTEM ON GENETIC VARIABILITY
Charlesworth, D., & Charlesworth, B. (1995) · Evolution · doi:10.1111/j.1558-5646.1995.tb02326.x · Cited by 252
Clines in polygenic traits
BARTON, N. H. (1999) · Genetical Research · doi:10.1017/s001667239900422x · Cited by 181
Self-citation
Candidate Genes and Genetic Architecture of Symbiotic and Agronomic Traits Revealed by Whole-Genome, Sequence-Based Association Genetics in Medicago truncatula
Stanton‐Geddes, J., Paape, T. D., Epstein, B., Briskine, R. V., Yoder, J. B., Mudge, J., Bharti, A. K., Farmer, A. D., Zhou, P., Denny, R. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065688 · Cited by 186
Two Sites in the Delta Gene Region Contribute to Naturally Occurring Variation in Bristle Number in Drosophila melanogaster
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CAN ONE PREDICT THE EVOLUTION OF QUANTITATIVE CHARACTERS WITHOUT GENETICS?
Willis, J. H., Coyne, J. A., & Kirkpatrick, M. (1991) · Evolution · doi:10.1111/j.1558-5646.1991.tb04418.x · Cited by 178
“Such evolutionary inferences are especially dubious because even the genetic correlations among traits may change over evolutionary time, and often differ among closely-related species (e.g., Turelli, 1988; Barton and Turelli, 1989).”
Background
A universal method for achieving increases in metabolite production
KACSER, H., & Acerenza, L. (1993) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1993.tb18153.x · Cited by 175
MEASURING SELECTION AND CONSTRAINT IN THE EVOLUTION OF GROWTH
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Invasion success and genetic diversity of introduced populations of guppiesPoecilia reticulatain Australia
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“Second, negative frequency dependence may maintain high levels of additive genetic variation (Barton & Turelli 1989; Falconer & Mackay 1989).”
Background
The Benefits of Allocating Sex
West, S. A., Herre, E. A., & Sheldon, B. C. (2000) · Science · doi:10.1126/science.290.5490.288 · Cited by 168
The effects of spontaneous mutation on quantitative traits. I. Variances and covariances of life history traits.
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Life-History Evolution and the Genetics of Fitness Components in Drosophila melanogaster
Flatt, T. (2020) · Genetics · doi:10.1534/genetics.119.300160 · Cited by 174
EVOLUTIONARY SPEED OF SPECIES INVASIONS
Garcı́a-Ramos, G., & Rodríguez, D. (2002) · Evolution · doi:10.1554/0014-3820(2002)056[0661:esosi]2.0.co;2 · Cited by 167
“This required a return to natural space and time based on DX/DT 5 n, X 5 and T 5 r*t (Ap-2Ï2r*/s x pendix 1, 2).”
BackgroundInfluential
The Genetic Analysis of Age-Dependent Traits: Modeling the Character Process
Pletcher, S. D., & Geyer, C. J. (1999) · Genetics · doi:10.1093/genetics/153.2.825 · Cited by 164
Ising Quantum Chain is Equivalent to a Model of Biological Evolution
Baake, E., Baake, M., & Wagner, H. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.559 · Cited by 163
A pleiotropic nonadditive model of variation in quantitative traits.
Caballero, A., & Keightley, P. D. (1994) · Genetics · doi:10.1093/genetics/138.3.883 · Cited by 163
Nature of Deleterious Mutation Load in Drosophila
Keightley, P. D. (1996) · Genetics · doi:10.1093/genetics/144.4.1993 · Cited by 161
Genetic architecture and evolutionary constraint when the environment contains genes
Wolf, J. B. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0635741100 · Cited by 160
Evolution in Organisms that Change Their Niches during the Life Cycle
Ebenman, B. (1992) · The American Naturalist · doi:10.1086/285370 · Cited by 160
GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background
Sinnott-Armstrong, N., Naqvi, S., Rivas, M. A., & Pritchard, J. K. (2021) · eLife · doi:10.7554/elife.58615 · Cited by 149

Authors: Barton, N. H., & Turelli, M.
Affiliations: University College London (GB)
ORCID: Barton, N. H.
Turelli, Michael
Venue: Annual Review of Genetics
Publisher: Annual Reviews
Published: 1989-12
Volume: 23
Issue: 1
Pages: 337-370
ISSN: 0066-4197 (ISSN-L)
1545-2948
DOI: 10.1146/annurev.ge.23.120189.002005
OpenAlex: W2153359028
Cited by: 686
References: 93
Citations by year: 2026: 7 · 2025: 6 · 2024: 12 · 2023: 12 · 2022: 9 · 2021: 28 · 2020: 9 · 2019: 9 · 2018: 17 · 2017: 18 · 2016: 19 · 2015: 13 · 2014: 14 · 2013: 22 · 2012: 18
FWCI: 7.70
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Genetics (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
Keywords: quantitative genetics, polygenic mutations, pleiotropy, additive genetic variance, number of loci, extreme phenotypes
MeSH terms: Animals, Biological Evolution, Genetics, Mutation, Phenotype, Selection, Genetic

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EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?

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