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Journal articles on the topic 'Evolutionary genetics'

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Published: 4 June 2021
Last updated: 28 July 2024

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1

Slatkin, Montgomery. "Evolutionary genetics." Trends in Genetics 5 (1989): 349–50. http://dx.doi.org/10.1016/0168-9525(89)90143-1.

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2

Futuyma, Douglas J. "Evolutionary genetics." Trends in Ecology & Evolution 4, no. 10 (October 1989): 314–15. http://dx.doi.org/10.1016/0169-5347(89)90037-2.

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3

McGlothlin, Joel W., Erol Akçay, Edmund D. Brodie, Allen J. Moore, and Jeremy Van Cleve. "A Synthesis of Game Theory and Quantitative Genetic Models of Social Evolution." Journal of Heredity 113, no. 1 (January 1, 2022): 109–19. http://dx.doi.org/10.1093/jhered/esab064.

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Abstract Two popular approaches for modeling social evolution, evolutionary game theory and quantitative genetics, ask complementary questions but are rarely integrated. Game theory focuses on evolutionary outcomes, with models solving for evolutionarily stable equilibria, whereas quantitative genetics provides insight into evolutionary processes, with models predicting short-term responses to selection. Here we draw parallels between evolutionary game theory and interacting phenotypes theory, which is a quantitative genetic framework for understanding social evolution. First, we show how any evolutionary game may be translated into two quantitative genetic selection gradients, nonsocial and social selection, which may be used to predict evolutionary change from a single round of the game. We show that synergistic fitness effects may alter predicted selection gradients, causing changes in magnitude and sign as the population mean evolves. Second, we show how evolutionary games involving plastic behavioral responses to partners can be modeled using indirect genetic effects, which describe how trait expression changes in response to genes in the social environment. We demonstrate that repeated social interactions in models of reciprocity generate indirect effects and conversely, that estimates of parameters from indirect genetic effect models may be used to predict the evolution of reciprocity. We argue that a pluralistic view incorporating both theoretical approaches will benefit empiricists and theorists studying social evolution. We advocate the measurement of social selection and indirect genetic effects in natural populations to test the predictions from game theory and, in turn, the use of game theory models to aid in the interpretation of quantitative genetic estimates.
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4

Penke, Lars, Jaap J. A. Denissen, and Geoffrey F. Miller. "The evolutionary genetics of personality." European Journal of Personality 21, no. 5 (August 2007): 549–87. http://dx.doi.org/10.1002/per.629.

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Genetic influences on personality differences are ubiquitous, but their nature is not well understood. A theoretical framework might help, and can be provided by evolutionary genetics. We assess three evolutionary genetic mechanisms that could explain genetic variance in personality differences: selective neutrality, mutation‐selection balance, and balancing selection. Based on evolutionary genetic theory and empirical results from behaviour genetics and personality psychology, we conclude that selective neutrality is largely irrelevant, that mutation‐selection balance seems best at explaining genetic variance in intelligence, and that balancing selection by environmental heterogeneity seems best at explaining genetic variance in personality traits. We propose a general model of heritable personality differences that conceptualises intelligence as fitness components and personality traits as individual reaction norms of genotypes across environments, with different fitness consequences in different environmental niches. We also discuss the place of mental health in the model. This evolutionary genetic framework highlights the role of gene‐environment interactions in the study of personality, yields new insight into the person‐situation‐debate and the structure of personality, and has practical implications for both quantitative and molecular genetic studies of personality. Copyright © 2007 John Wiley & Sons, Ltd.
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5

Paaby, Annalise, and Greg Gibson. "Cryptic Genetic Variation in Evolutionary Developmental Genetics." Biology 5, no. 2 (June 13, 2016): 28. http://dx.doi.org/10.3390/biology5020028.

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6

Mackay, Trudy F. C. "Evolutionary genetics quantified." Nature Genetics 42, no. 12 (November 24, 2010): 1033. http://dx.doi.org/10.1038/ng1210-1033.

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7

Bowman, John. "Human Evolutionary Genetics." Journal of Biological Education 49, no. 1 (March 31, 2014): 108–9. http://dx.doi.org/10.1080/00219266.2014.882383.

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8

Wallace, Bruce. "Molecular Evolutionary Genetics." Journal of Heredity 79, no. 2 (March 1988): 139. http://dx.doi.org/10.1093/oxfordjournals.jhered.a110475.

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9

Houled, David. "Serious Evolutionary Genetics." BioScience 61, no. 5 (May 2011): 409–11. http://dx.doi.org/10.1525/bio.2011.61.5.12.

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10

Rodrigo, A. G. "HIV evolutionary genetics." Proceedings of the National Academy of Sciences 96, no. 19 (September 14, 1999): 10559–61. http://dx.doi.org/10.1073/pnas.96.19.10559.

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11

Marks, Jon. "Molecular evolutionary genetics." Journal of Human Evolution 17, no. 4 (June 1988): 449–51. http://dx.doi.org/10.1016/0047-2484(88)90032-2.

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12

Ryder, O. A. "Primate Evolutionary Genetics." Journal of Heredity 92, no. 6 (November 1, 2001): 453. http://dx.doi.org/10.1093/jhered/92.6.453.

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13

Felsenstein, Joe. "Molecular evolutionary genetics." Cell 51, no. 3 (November 1987): 343–44. http://dx.doi.org/10.1016/0092-8674(87)90630-1.

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14

Zietsch, Brendan P., Teresa R. de Candia, and Matthew C. Keller. "Evolutionary behavioral genetics." Current Opinion in Behavioral Sciences 2 (April 2015): 73–80. http://dx.doi.org/10.1016/j.cobeha.2014.09.005.

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15

Sperber, Geoffrey H. "Biblical evolutionary genetics." American Journal of Medical Genetics 107, no. 3 (January 22, 2002): 261. http://dx.doi.org/10.1002/ajmg.10147.

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16

Ye, Shu. "Evolutionary Genetics: Evolutionary path to the heart." European Journal of Human Genetics 13, no. 2 (November 10, 2004): 132–33. http://dx.doi.org/10.1038/sj.ejhg.5201330.

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17

Coyne, Jerry A., and H. Allen Orr. "The evolutionary genetics of speciation." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1366 (February 28, 1998): 287–305. http://dx.doi.org/10.1098/rstb.1998.0210.

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The last decade has brought renewed interest in the genetics of speciation, yielding a number of new models and empirical results. Defining speciation as ‘the origin of reproductive isolation between two taxa’, we review recent theoretical studies and relevant data, emphasizing the regular patterns seen among genetic analyses. Finally, we point out some important and tractable questions about speciation that have been neglected.
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18

Geoghegan, Jemma L., and Edward C. Holmes. "Evolutionary Virology at 40." Genetics 210, no. 4 (December 2018): 1151–62. http://dx.doi.org/10.1534/genetics.118.301556.

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19

Scarpa, Fabio, Marco Casu, and Daria Sanna. "Evolutionary and Conservation Genetics." Life 11, no. 11 (October 30, 2021): 1160. http://dx.doi.org/10.3390/life11111160.

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20

GILL III, THOMAS J. "Evolutionary Genetics and Infertility." American Journal of Reproductive Immunology 48, no. 1 (June 19, 2002): 43–49. http://dx.doi.org/10.1034/j.1600-0897.2002.01102.x.

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21

Oakeshott, J. G., E. A. van Papenrecht, T. M. Boyce, M. J. Healy, and R. J. Russell. "Evolutionary genetics ofDrosophila esterases." Genetica 90, no. 2-3 (June 1993): 239–68. http://dx.doi.org/10.1007/bf01435043.

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22

Müller, Ingo. "Thermodynamics and evolutionary genetics." Continuum Mechanics and Thermodynamics 22, no. 3 (December 13, 2009): 189–201. http://dx.doi.org/10.1007/s00161-009-0131-3.

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23

Joshi, Amitabh. "Evolutionary genetics: TheDrosophila model." Journal of Genetics 82, no. 3 (December 2003): 77–78. http://dx.doi.org/10.1007/bf02715809.

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24

Vagyn, Yu V. "Evolution of darwinism. A new evolutionary synthesis: combining evolutionary genetics and development genetics." Visnik ukrains'kogo tovaristva genetikiv i selekcioneriv 18, no. 1-2 (January 29, 2021): 70–75. http://dx.doi.org/10.7124/visnyk.utgis.18.1-2.1356.

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The results of the synthesis of evolutionary genetics and developmental genetics are presented, the causes of the crisis of evolutionary genetics and ways to overcome it are explained, and the mechanism of speciation of higher organisms is explained.Keywords: new evolutionary synthesis, evolutionary genetics, genetics of ontogenesis, morphogenetic program, developmental genes.
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25

Nauta, M. J., and R. F. Hoekstra. "Evolutionary dynamics of spore killers." Genetics 135, no. 3 (November 1, 1993): 923–30. http://dx.doi.org/10.1093/genetics/135.3.923.

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Abstract Spore killing in ascomycetes is a special form of segregation distortion. When a strain with the Killer genotype is crossed to a Sensitive type, spore killing is expressed by asci with only half the number of ascospores as usual, all surviving ascospores being of the Killer type. Using population genetic modeling, this paper explores conditions for invasion of Spore killers and for polymorphism of Killers, Sensitives and Resistants (which neither kill, nor get killed), as found in natural populations. The models show that a population with only Killers and Sensitives can never be stable. The invasion of Killers and stable polymorphism only occur if Killers have some additional advantage during the process of spore killing. This may be due to the effects of local sib competition or some kind of "heterozygous" advantage in the stage of ascospore formation or in the short diploid stage of the life cycle. This form of segregation distortion appears to be essentially different from other, well-investigated forms, and more field data are needed for a better understanding of spore killing.
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26

Iwasa, Yoh, Franziska Michor, and Martin A. Nowak. "Stochastic Tunnels in Evolutionary Dynamics." Genetics 166, no. 3 (March 2004): 1571–79. http://dx.doi.org/10.1534/genetics.166.3.1571.

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27

Edwards, A. W. F. "Statistical Methods for Evolutionary Trees." Genetics 183, no. 1 (September 2009): 5–12. http://dx.doi.org/10.1534/genetics.109.107847.

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28

O’Brien, Eleanor K., and Jason B. Wolf. "Evolutionary Quantitative Genetics of Genomic Imprinting." Genetics 211, no. 1 (November 2, 2018): 75–88. http://dx.doi.org/10.1534/genetics.118.301373.

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29

Wagner, Günter P. "Evolutionary Genetics: The Nature of Hidden Genetic Variation Unveiled." Current Biology 13, no. 24 (December 2003): R958—R960. http://dx.doi.org/10.1016/j.cub.2003.11.042.

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30

Brookfield, J. F. Y. "Evolutionary Dynamics: evolutionary genetics with the genes taken out." Heredity 94, no. 1 (December 15, 2004): 139–40. http://dx.doi.org/10.1038/sj.hdy.6800535.

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31

Feng, Yuanqing, Michael A. McQuillan, and Sarah A. Tishkoff. "Evolutionary genetics of skin pigmentation in African populations." Human Molecular Genetics 30, R1 (January 12, 2021): R88—R97. http://dx.doi.org/10.1093/hmg/ddab007.

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Abstract Skin color is a highly heritable human trait, and global variation in skin pigmentation has been shaped by natural selection, migration and admixture. Ethnically diverse African populations harbor extremely high levels of genetic and phenotypic diversity, and skin pigmentation varies widely across Africa. Recent genome-wide genetic studies of skin pigmentation in African populations have advanced our understanding of pigmentation biology and human evolutionary history. For example, novel roles in skin pigmentation for loci near MFSD12 and DDB1 have recently been identified in African populations. However, due to an underrepresentation of Africans in human genetic studies, there is still much to learn about the evolutionary genetics of skin pigmentation. Here, we summarize recent progress in skin pigmentation genetics in Africans and discuss the importance of including more ethnically diverse African populations in future genetic studies. In addition, we discuss methods for functional validation of adaptive variants related to skin pigmentation.
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32

Melo, Diogo, Guilherme Garcia, Alex Hubbe, Ana Paula Assis, and Gabriel Marroig. "EvolQG - An R package for evolutionary quantitative genetics." F1000Research 4 (September 30, 2015): 925. http://dx.doi.org/10.12688/f1000research.7082.1.

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We present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this variation is expressed in the form of a covariance matrix, particularly the additive genetic covariance matrix or sometimes the phenotypic matrix, when the genetic matrix is unavailable. Given this mathematical representation of available variation, the EvolQG package provides functions for calculation of relevant evolutionary statistics, estimation of sampling error, corrections for this error, matrix comparison via correlations and distances, and functions for testing evolutionary hypotheses on taxa diversification.
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33

Clark, Nathan L., Eric Alani, and Charles F. Aquadro. "Evolutionary Rate Covariation in Meiotic Proteins Results from Fluctuating Evolutionary Pressure in Yeasts and Mammals." Genetics 193, no. 2 (November 26, 2012): 529–38. http://dx.doi.org/10.1534/genetics.112.145979.

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34

Burke, Donald S., Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, and Annie S. Wu. "Putting More Genetics into Genetic Algorithms." Evolutionary Computation 6, no. 4 (December 1998): 387–410. http://dx.doi.org/10.1162/evco.1998.6.4.387.

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The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented goals of the evolutionary computation community. Understanding better and reducing this gap between GAs and genetics has been a central issue in an interdisciplinary project whose goal is to build GA-based computational models of viral evolution. The result is a system called Virtual Virus (VIV). VIV incorporates a number of more biologically plausible mechanisms, including a more flexible genotype-to-phenotype mapping. In VIV the genes are independent of position, and genomes can vary in length and may contain noncoding regions, as well as duplicative or competing genes. Initial computational studies with VIV have already revealed several emergent phenomena of both biological and computational interest. In the absence of any penalty based on genome length, VIV develops individuals with long genomes and also performs more poorly (from a problem-solving viewpoint) than when a length penalty is used. With a fixed linear length penalty, genome length tends to increase dramatically in the early phases of evolution and then decrease to a level based on the mutation rate. The plateau genome length (i.e., the average length of individuals in the final population) generally increases in response to an increase in the base mutation rate. When VIV converges, there tend to be many copies of good alternative genes within the individuals. We observed many instances of switching between active and inactive genes during the entire evolutionary process. These observations support the conclusion that noncoding regions serve as scratch space in which VIV can explore alternative gene values. These results represent a positive step in understanding how GAs might exploit more of the power and flexibility of biological evolution while simultaneously providing better tools for understanding evolving biological systems.
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35

Hartl, Daniel L., and Jeffrey R. Powell. "Evolutionary Genetics on the Fly." Evolution 52, no. 2 (April 1998): 631. http://dx.doi.org/10.2307/2411099.

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36

Baldo, Laura, and John H. Werren. "Evolutionary Genetics of Microbial Symbiosis." Genes 12, no. 3 (February 25, 2021): 327. http://dx.doi.org/10.3390/genes12030327.

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37

Turner, Thomas F. "The Evolution of Evolutionary Genetics." BioScience 57, no. 4 (April 1, 2007): 375–76. http://dx.doi.org/10.1641/b570413.

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38

Sheldon, Frederick H. "Molecular Evolutionary Genetics Masatoshi Nei." Auk 105, no. 2 (April 1988): 399. http://dx.doi.org/10.2307/4087517.

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39

DINGLE, HUGH. "Evolutionary Genetics of Animal Migration." American Zoologist 31, no. 1 (February 1991): 253–64. http://dx.doi.org/10.1093/icb/31.1.253.

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40

Flatt, Thomas. "The Evolutionary Genetics of Canalization." Quarterly Review of Biology 80, no. 3 (September 2005): 287–316. http://dx.doi.org/10.1086/432265.

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41

Wolf, Jason B., and Michael J. Wade. "Evolutionary genetics of maternal effects." Evolution 70, no. 4 (March 29, 2016): 827–39. http://dx.doi.org/10.1111/evo.12905.

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42

Otsuka, Jun. "Causal Foundations of Evolutionary Genetics." British Journal for the Philosophy of Science 67, no. 1 (March 1, 2016): 247–69. http://dx.doi.org/10.1093/bjps/axu039.

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43

Carleton, Karen L., and Thomas D. Kocher. "Evolutionary Genetics: Rose-colored goggles." Heredity 90, no. 2 (February 2003): 116–17. http://dx.doi.org/10.1038/sj.hdy.6800223.

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44

Moore, R. C. "Evolutionary genetics: Autosomes behaving badly." Heredity 93, no. 2 (May 26, 2004): 126–27. http://dx.doi.org/10.1038/sj.hdy.6800501.

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45

Brown, J. K. M., and R. J. Handley. "Evolutionary genetics: Fight or flinch?" Heredity 96, no. 1 (November 30, 2005): 3–4. http://dx.doi.org/10.1038/sj.hdy.6800776.

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46

IRWIN, D. M., E. M. PRAGER, and A. C. WILSON. "Evolutionary genetics of ruminant lysozymes." Animal Genetics 23, no. 3 (April 24, 2009): 193–202. http://dx.doi.org/10.1111/j.1365-2052.1992.tb00131.x.

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47

Svensson, Erik. "Evolutionary genetics for organismal biologists." Animal Biology 57, no. 3 (2007): 359–62. http://dx.doi.org/10.1163/157075607781753100.

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48

Weir, B. S. "Molecular Evolutionary Genetics. Masatoshi Nei." Quarterly Review of Biology 63, no. 2 (June 1988): 218. http://dx.doi.org/10.1086/415862.

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49

Veuille, Michel. "Genetics and the evolutionary process." Comptes Rendus de l'Académie des Sciences - Series III - Sciences de la Vie 323, no. 12 (December 2000): 1155–65. http://dx.doi.org/10.1016/s0764-4469(00)01256-7.

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50

Carson, Hampton L. "Evolutionary Genetics. John Maynard Smith." Quarterly Review of Biology 75, no. 2 (June 2000): 184. http://dx.doi.org/10.1086/393411.

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