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QST–FST comparisons: evolutionary and ecological insights from genomic heterogeneity
Abstract
Comparative studies of the divergence of quantitative traits and neutral molecular markers, known as Q(ST)-F(ST) comparisons, provide a means for researchers to distinguish between natural selection and genetic drift as causes of population differentiation in complex polygenic traits. The use of Q(ST)-F(ST) comparisons has increased rapidly in the last few years, highlighting the utility of this approach for addressing a wide range of questions that are relevant to evolutionary and ecological genetics. These studies have also provided lessons for the design of future Q(ST)-F(ST) comparisons. Methods based on the Q(ST)-F(ST) approach could also be used to analyse various types of 'omics' data in new and revealing ways.
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“Thus, by testing whether QST is significantly greater than FST, it is possible to determine whether there is more genetically explained trait variation among populations than expected under neutral evolution (28–31).”
From Heritability within groups is uninformative about differences among groups: Cases from behavioral, evolutionary, and statistical genetics (2024) · cites this paper as [31]
In the citing paper
“Under a null model in which phenotypes are selectively neutral, genetic propensity differences contributing to phenotypic differences among populations are predicted to be small.”
From Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences (2019) · cites this paper as [43]
In the citing paper
“In other words, analogous measures of population differences in quantitative phenotypic traits and genetic loci—termed QST and FST, respectively—are approximately equal in neutral evolutionary models that include genetic drift but not natural selection.”
From Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences (2019) · cites this paper as [43]
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Whitlock, M. C., & Guillaume, F. (2009) · Genetics · doi:10.1534/genetics.108.099812 · Cited by 180
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Roy, C. L., Debat, V., & Llaurens, V. (2019) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12500 · Cited by 194
“…in birds (Ricklefs, Konarzewski & Daan, 1996): estimates of flight metabolism for species with extremely high AR such as performance-gliders like swifts (Lentink & de Kat, 2014) shows that energy expenditure during flight is low compared to species of similar size but smaller AR (Hails, 1979).”
BackgroundTowards the identification of the loci of adaptive evolution
Pardo‐Díaz, C., Salazar, C. A., & Jiggins, C. D. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12324 · Cited by 141
“Field experiments to test the adaptive value of traits in the wild come in a great variety and complexity of forms including QST–FST comparison (Leinonen et al. 2013), reciprocal transplants of hybrid individuals (Lowry et al. 2009), controlled introduction of live organisms to new environments…”
BackgroundHighly heritable and functionally relevant breed differences in dog behaviour
MacLean, E. L., Snyder-Mackler, N., vonHoldt, B. M., & Serpell, J. A. (2019) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2019.0716 · Cited by 144
Dittberner, H., Korte, A., Mettler‐Altmann, T., Weber, A. P. M., Monroe, J. G., & de Meaux, J. (2018) · Molecular Ecology · doi:10.1111/mec.14838 · Cited by 138
“We performed a comparison of phenotypic and nucleotide levels of divergence to evaluate the putative role of past selective events in shaping the distribution of diversity we report (Leinonen et al., 2013; Whitlock & Guillaume, 2009).”
BackgroundMethodPopulation genomic evidence for adaptive differentiation in Baltic Sea three-spined sticklebacks
Guo, B., DeFaveri, J., Sotelo, G., Nair, A., & Merilä, J. (2015) · BMC Biology · doi:10.1186/s12915-015-0130-8 · Cited by 128
Self-citationGenetic constraints predict evolutionary divergence in Dalechampia blossoms
Bolstad, G., Hansen, T. F., Pélabon, C., Falahati-Anbaran, M., Pérez-Barrales, R., & Armbruster, W. S. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0255 · Cited by 128
Gene co-expression network connectivity is an important determinant of selective constraint
Mähler, N., Wang, J., Terebieniec, B. K., Ingvarsson, P. K., Street, N. R., & Hvidsten, T. R. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006402 · Cited by 133
Kort, H. D., Vandepitte, K., Bruun, H. H., Closset‐Kopp, D., Honnay, O., & Mergeay, J. (2014) · Molecular Ecology · doi:10.1111/mec.12813 · Cited by 130
“A PCA was performed on the traits to consider genetic and/or morphological autocorrelation among traits (Grant & Grant 1995; Kruuk & Garant 2007; Leinonen et al. 2013).”
MethodRecent human adaptation: genomic approaches, interpretation and insights
Scheinfeldt, L., & Tishkoff, S. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3604 · Cited by 118
Investigating the case of human nose shape and climate adaptation
Zaidi, A. A., Mattern, B. C., Claes, P., McEcoy, B., Hughes, C., & Shriver, M. D. (2017) · PLOS Genetics · doi:10.1371/journal.pgen.1006616 · Cited by 117
The evolutionary dynamics of biological invasions: A multi‐approach perspective
Sherpa, S., & Després, L. (2021) · Evolutionary Applications · doi:10.1111/eva.13215 · Cited by 136
“…differentiation (FST) and phenotypic differentiation (QST) has been largely used to detect the loci targeted by selection (Le Corre & Kremer, 2012; Leinonen et al., 2013) and several quantitative trait detection methods now include population structure to account for shared neutral trait…”
MethodHow Knowledge of Pathogen Population Biology Informs Management of Septoria Tritici Blotch.
McDonald, B., & Mundt, C. (2016) · Phytopathology · doi:10.1094/phyto-03-16-0131-rvw · Cited by 112
Evolutionary Metabolomics Reveals Domestication-Associated Changes in Tetraploid Wheat Kernels
Beleggia, R., Rau, D., Laidò, G., Platani, C., Nigro, F. M., Fragasso, M., Vita, P. D., Scossa, F., Fernie, A., Nikoloski, Z., et al. (2016) · Molecular biology and evolution · doi:10.1093/molbev/msw050 · Cited by 112
Neutral and adaptive genetic diversity in plants: An overview
Chung, M. Y., Merilä, J., Li, J., Mao, K., López-Pujol, J., Tsumura, Y., & Chung, M. (2023) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2023.1116814 · Cited by 110
Self-citationInterpreting polygenic scores, polygenic adaptation, and human phenotypic differences
Rosenberg, N. A., Edge, M. D., Pritchard, J. K., & Feldman, M. W. (2019) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eoy036 · Cited by 105
The genomics of local adaptation in trees: are we out of the woods yet?
Lind, B. M., Menon, M., Bolte, C. E., Faske, T. M., & Eckert, A. J. (2018) · Tree Genetics & Genomes · doi:10.1007/s11295-017-1224-y · Cited by 124
Gene pleiotropy constrains gene expression changes in fish adapted to different thermal conditions
Papakostas, S., Vøllestad, L. A., Bruneaux, M., Aykanat, T., Vanoverbeke, J., Ning, M., Primmer, C. R., & Leder, E. H. (2014) · Nature Communications · doi:10.1038/ncomms5071 · Cited by 122
Population genomics of human adaptation
Lachance, J., & Tishkoff, S. A. (2013) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-110512-135833 · Cited by 95
“To date, most QST-FST comparisons involve studies of non-human adaptation (Leinonen et al 2013).”
BackgroundPopulation genomic evidence for adaptive differentiation in the Baltic Sea herring
Guo, B., Li, Z., & Merilä, J. (2016) · Molecular Ecology · doi:10.1111/mec.13657 · Cited by 96
“However, genetic divergence in loci influencing variability in adaptive traits is possible even in the absence of differentiation in neutral loci (Le Corre & Kremer 2012; Leinonen et al. 2013).”
BackgroundSelf-citationLlusia, D., Márquez, R., Beltrán, J. F., Benítez, M., & do Amaral, J. P. (2013) · Global Change Biology · doi:10.1111/gcb.12267 · Cited by 100
“Moreover, it has also been found that physiological divergence may occur in spite of high gene flow (e.g. Leinonen et al., 2013).”
Backgroundde Villemereuil, P., Mouterde, M., Gaggiotti, O., & Till-Bottraud, I. (2018) · Journal of Ecology · doi:10.1111/1365-2745.12955 · Cited by 90
“Instead of using the QST-FST framework (Spitze, 1993; Leinonen et al., 2013), we used a rigorous model-based approach that explicitly incorporates the effects of genetic drift and migration under an island model (Ovaskainen et al., 2011).”
MethodDelmas, C., Fabre, F., Jolivet, J., Mazet, I., Cervera, S. R., Delière, L., & Delmotte, F. (2016) · Evolutionary Applications · doi:10.1111/eva.12368 · Cited by 88
“…of quantitative traits and neutral molecular markers in populations can suggest which evolutionary processes underly population differentiation for multiple quantitative traits: genetic drift, directional selection or uniform selection (McKay and Latta 2002; reviewed in Leinonen et al. 2013).”
BackgroundLiu, H., Wang, X.-Q., Warburton, M., Wen, W., Jin, M.-L., Deng, M., Liu, J., Tong, H., Pan, Q.-C., Yang, X.-H., et al. (2014) · bioRxiv · doi:10.1101/005751 · Cited by 88
“A QST > FST value was regarded as proof of trait divergence outstripping the expectation of a neutral state and thus of a strong directional selection signal (Leinonen et al., 2013).”
BackgroundMethodInfluentialLocal adaptation to salinity in the three‐spined stickleback?
DeFaveri, J., & Merilä, J. (2013) · Journal of Evolutionary Biology · doi:10.1111/jeb.12289 · Cited by 87
“Also, comparative studies of quantitative trait and molecular marker differentiation can be applied to common garden data and used to test whether the observed population divergence exceeds that expected by genetic drift (e.g. Leinonen et al., 2013).”
BackgroundSelf-citationReilly, K., Ellis, L. A., Davoudi, H. H., Supian, S., Maia, M. T., Silva, G. H., Guo, Z., Martinez, D. S. T., & Lynch, I. (2023) · Frontiers in Toxicology · doi:10.3389/ftox.2023.1178482 · Cited by 100
“Genomics is used to identify genetic variation under natural selection (Mitchell-Olds and Feder, 2003; Leinonen et al., 2013; Grummer et al., 2019) inmodel test organisms, which are accessible to both laboratory and field studies along defined environmental gradients (Spanier et al.”
BackgroundAdaptive diversification of growth allometry in the plant Arabidopsis thaliana
Vasseur, F., Expósito‐Alonso, M., Ayala-Garay, O. J., Wang, G., Enquist, B. J., Vile, D., Violle, C., & Weigel, D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1709141115 · Cited by 104
“S3), which is potentially indicative of 177 polygenic selection acting on the scaling of plant growth (24).”
Detecting signatures of selection on gene expression
Price, P. D., Droguett, D. H. P., Taylor, J. A., Kim, D. W., Place, E., Rogers, T. F., Mank, J. E., Cooney, C. R., & Wright, A. E. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01761-8 · Cited by 89
“…applied to gene expression variation in a few instances 45–49 , accurately estimating the additive genetic basis of gene expression level can be challenging 50 , and there is a tendency for dominance variance to bias Q ST estimates, potentially leading to incorrect inferences of neutrality 44 .”
BackgroundPolygenic evolution drives species divergence and climate adaptation in corals
Rose, N. H., Bay, R. A., Morikawa, M. K., & Palumbi, S. R. (2017) · Evolution · doi:10.1111/evo.13385 · Cited by 75
Leder, E. H., McCairns, R. J. S., Leinonen, T., Cano, J. M., Viitaniemi, H. M., Nikinmaa, M., Primmer, C. R., & Merilä, J. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu328 · Cited by 85
“To infer whether among-population differences were best explained by neutral or putative selective processes, we contrasted an index of quantitative genetic differentiation (QST) for each probe with that of neutral genetic divergence (Spitze 1993; Leinonen et al. 2013).”
Self-citationXu, G., Cao, J., Wang, X., Chen, Q., Jin, W., Li, Z., & Tian, F. (2019) · The Plant Cell · doi:10.1105/tpc.19.00111 · Cited by 102
Population Genomics of Fungal and Oomycete Pathogens
Grünwald, N. J., McDonald, B. A., & Milgroom, M. G. (2016) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-080614-115913 · Cited by 104
The genetic basis of local adaptation for pathogenic fungi in agricultural ecosystems
Croll, D., & McDonald, B. A. (2017) · Molecular Ecology · doi:10.1111/mec.13870 · Cited by 77
“Finally, comparisons of population differentiation for quantitative traits and genetic markers (FST – QST) may identify signatures of selection (Leinonen et al. 2013).”
BackgroundMethodForsman, A., Tibblin, P., Berggren, H., Nordahl, O., Koch‐Schmidt, P., & Larsson, P. (2015) · Journal of Fish Biology · doi:10.1111/jfb.12712 · Cited by 76
“These types of data can be combined for QST −FST (or PST −FST) comparisons to evaluate the contribution of selection v. genetic drift to population differentiation (Holand et al., 2011; Leinonen et al., 2013; Tibblin et al., 2015).”
BackgroundThe genetic architecture of teosinte catalyzed and constrained maize domestication
Yang, C.-J., Samayoa, L., Bradbury, P., Olukolu, B., Xue, W., York, A. M., Tuholski, M. R., Wang, W.-D., Daskalska, L. L., Neumeyer, M. A., et al. (2019) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1820997116 · Cited by 74
Adaptive Evolution of Gene Expression in Drosophila
Nourmohammad, A., Rambeau, J., Held, T., Kováčová, V., Berg, J., & Lässig, M. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.07.033 · Cited by 95
“, 2005; Bedford and Hartl, 2009) and with a standard QST/FST analysis (Leinonen et al., 2013).”
BackgroundMethodResultInfluentialEffects of fragmentation on plant adaptation to urban environments
Dubois, J., & Cheptou, P. (2017) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0038 · Cited by 73
Natural selection shapes variation in genome-wide recombination rate in Drosophila pseudoobscura
Samuk, K., Manzano-Winkler, B., Ritz, K. R., & Noor, M. (2019) · bioRxiv · doi:10.1101/787382 · Cited by 72
“Briefly, we aligned the reads for each sample to the D. pseudoobscura reference genome (version 3.04 from FlyBase, ftp://ftp.flybase.net/genomes/Drosophila_pseudoobscura/) using bwa mem version 0.7.17 (Li & Durbin, 2009).”
MethodInfluentialRoschanski, A. M., Csilléry, K., Liepelt, S., Oddou-Muratorio, S., Ziegenhagen, B., Huard, F., Ullrich, K., Postolache, D., Vendramin, G., & Fady, B. (2016) · Molecular Ecology · doi:10.1111/mec.13516 · Cited by 71
Xia, H., Luo, Z., Xiong, J., Ma, X.-S., Lou, Q., Wei, H., Qiu, J., Yang, H., Liu, G.-L., Fan, L.-J., et al. (2019) · Molecular Plant · doi:10.1016/j.molp.2018.12.011 · Cited by 68
“If the QST is significantly higher 250 than the neutral FST, it means that the directional selection drives phenotypic divergence and 251 results in ecological adaptation (Miller et al., 2008; Leinonen et al., 2013).”
BackgroundDeWoody, J., Trewin, H., & Taylor, G. (2015) · Molecular Ecology · doi:10.1111/mec.13192 · Cited by 68
“The ever-increasing literature comparing differentiation in morphological traits and that at neutral marker loci indicate that phenotypic differentiation is typically greater than neutral genetic differentiation, implying natural selection overcomes ongoing gene flow to maintain morphological differences (Merila & Crn…”
BackgroundDivergence in gene expression within and between two closely related flycatcher species
Uebbing, S., Künstner, A., Mäkinen, H., Backström, N., Bolívar, P., Burri, R., Dutoit, L., Mugal, C. F., Nater, A., Aken, B. L., et al. (2016) · Molecular Ecology · doi:10.1111/mec.13596 · Cited by 70
Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change
Supple, M., Bragg, J., Broadhurst, L., Nicotra, A., Byrne, M., Andrew, R., Widdup, A., Aitken, N., & Borevitz, J. (2017) · bioRxiv · doi:10.7554/elife.31835 · Cited by 66
driftsel: an R package for detecting signals of natural selection in quantitative traits
Karhunen, M., Merilä, J., Leinonen, T., Cano, J. M., & Ovaskainen, O. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12111 · Cited by 65
“Q ST (cid:1) F ST comparisons constitute a popular and well-established method for comparing the differentiation in quantitative traits and neutral molecular markers (Meril € a & Crnokrak 2001; McKay & Latta 2002; Leinonen et al. 2008, 2013).”
MethodSelf-citationWorldwide patterns of human epigenetic variation
Carja, O., MacIsaac, J. L., Mah, S. M., Henn, B. M., Kobor, M. S., Feldman, M. W., & Fraser, H. B. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0299-z · Cited by 80
“We measured epigenetic divergence by computing Pst, the phenotypic differentiation between populations (Pujol et al., 2008; Edelaar et al., 2011; Leinonen et al., 2013), for methylation and expression sites across the genome.”
InfluentialWhat common‐garden experiments tell us about climate responses in plants
Schwinning, S., Lortie, C. J., Esque, T. C., & DeFalco, L. A. (2022) · Journal of Ecology · doi:10.1111/1365-2745.13887 · Cited by 117
“In quantitative genetics, divergent trait selection is tested by determining if standardized among- population variance in quantitative traits (‘QST’) exceeds that of neutral loci (‘FST’) (Leinonen et al., 2013).”
BackgroundFabian, D. K., Lack, J., Mathur, V. S., Schlötterer, C., SCHMIDT, P. S., Pool, J. E., & Flatt, T. (2015) · Journal of Evolutionary Biology · doi:10.1111/jeb.12607 · Cited by 57
“QST is often compared against neutral estimates of population genetic differentiation (FST) from multilocus or genomic data to determine whether phenotypic differences among populations exceed that expected from genetic drift (Meril€a & Crnokrak, 2001; Leinonen et al., 2013).”
InfluentialEvidence for adaptive phenotypic differentiation in B altic S ea sticklebacks
DeFaveri, J., & Merilä, J. (2013) · Journal of Evolutionary Biology · doi:10.1111/jeb.12168 · Cited by 57
“…by directly comparing the allelic variation at QTL in relation to the corresponding trait variation in natural populations (e.g. Peichel et al., 2001; Rogers & Bernatchez, 2005; Hall et al., 2007; Raeymaekers et al., 2007; M€akinen et al., 2008; Kronholm et al., 2012; Liedvogel et al., 2012).”
BackgroundSelf-citationClimate as a driver of adaptive variations in ecological strategies in Arabidopsis thaliana
Vasseur, F., Sartori, K., Baron, E., Fort, F., Kazakou, E., Segrestin, J., Garnier, E., Vile, D., & Violle, C. (2018) · bioRxiv · doi:10.1093/aob/mcy165 · Cited by 61
“Indeed, a value of Qst significantly higher than Fst at neutral loci is generally considered as a signature of diversifying selection on the underlying traits (Leinonen et al. 2013).”
BackgroundMethodPopulation genomics perspectives on convergent adaptation
Lee, K. M., & Coop, G. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0236 · Cited by 61
“F ST comparisons; see Whitlock, 2008; Leinonen et al., 2013, for reviews).”
BackgroundJueterbock, A. O., Franssen, S. U., Bergmann, N., Gu, J., Coyer, J. A., Reusch, T. B. H., Bornberg‐Bauer, E., & Olsen, J. (2016) · Molecular Ecology · doi:10.1111/mec.13829 · Cited by 59
“QST–FST comparisons correct for phylogeographic differentiation and recently have been revised to a multivariate method (Leinonen et al. 2013) that more accurately discriminates neutral from adaptive divergence (Ovaskainen et al.”
BackgroundMethodInfluentialDetermining the evolutionary forces shaping G × E
Josephs, E. B. (2018) · New Phytologist · doi:10.1111/nph.15103 · Cited by 60
Evaluating intra- and inter-individual variation in the human placental transcriptome
Hughes, D. A., Kircher, M., He, Z., Guo, S., Fairbrother, G. L., Moreno, C. S., Khaitovich, P., & Stoneking, M. (2015) · Genome biology · doi:10.1186/s13059-015-0627-z · Cited by 59
“Third, the parameters based on the additive components of variances are a previously published set of parameters that are direct analogs to Wright’s F-statistics (Fst and Fis), a desirable feature that will allow for comparisons between genetic and phenotypic variation [39].”
BackgroundThe effects of clonal forestry on genetic diversity in wild and domesticated stands of forest trees
Ingvarsson, P. K., & Dahlberg, H. (2018) · Scandinavian Journal of Forest Research · doi:10.1080/02827581.2018.1469665 · Cited by 66
“Deviations from this expectation can therefore be used to test for the action of natural selection on a quantitative trait (Leinonen et al. 2013; Savolainen et al. 2013).”
BackgroundLuo, Y.-H., Widmer, A., & Karrenberg, S. (2014) · Heredity · doi:10.1038/hdy.2014.89 · Cited by 55
Leaf economics and slow-fast adaptation across the geographic range of Arabidopsis thaliana
Sartori, K., Vasseur, F., Violle, C., Baron, E., Gerard, M., Rowe, N., Ayala-Garay, O., Christophe, A., Jalón, L. G. D., Masclef, D., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-46878-2 · Cited by 55
Johnson, K. M., & Kelly, M. (2020) · Evolutionary Applications · doi:10.1111/eva.12912 · Cited by 54
Volis, S., Ormanbekova, D., & Shulgina, I. (2016) · Molecular Ecology · doi:10.1111/mec.13565 · Cited by 54
“Soon after its introduction the QST–FST comparison has become a routine test for adaptive population divergence (reviewed in Leinonen et al. 2008, 2013; De Kort et al. 2013) despite its recognized methodological limitations (Leinonen et al. 2008; Pujol et al. 2008; Whitlock 2008; Whitlock &…”
BackgroundCsilléry, K., Buchmann, N., & Fady, B. (2020) · Evolutionary Applications · doi:10.1111/eva.13029 · Cited by 56
Rathmann, H., & Reyes-Centeno, H. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1914330117 · Cited by 53
“To account for stochastic variation inherent to a neutral model of evolution, we calculated r for a given dental trait or trait combination 1,000 times, each time comparing the DP matrix to different DG matrices arrived at by resampling the microsatellite loci data (23, 62).”
BackgroundMethodPerrard, A., Arca, M., Rome, Q., Muller, F. J., Tan, J.-L., Bista, S., Nugroho, H., Baudoin, R., Baylac, M., Silvain, J.-F., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094162 · Cited by 63
“However, these estimates involve the intra-population variation [57] which can hardly be estimated for lowly sampled populations such as some of ours.”
BackgroundKarhunen, M., Ovaskainen, O., Herczeg, G., & Merilä, J. (2014) · Evolution; international journal of organic evolution · doi:10.1111/evo.12268 · Cited by 51
“…we are able to provide the first formal demonstration of natural selection (but see Shimada et al. 2011) in this extensively studied model system, where earlier studies have provided only indirect indications for adaptive differentiation in a range of quantitative traits (reviewed by Merilä 2013).”
BackgroundSelf-citationThe evolution of group differences in changing environments
Harpak, A., & Przeworski, M. (2021) · PLOS Biology · doi:10.1371/journal.pbio.3001072 · Cited by 50
Ledoux, J., Aurelle, D., Bensoussan, N., Marschal, C., Féral, J., & Garrabou, J. (2015) · Ecology and Evolution · doi:10.1002/ece3.1324 · Cited by 55
“If the trait evolves neutrally, then QST should be equal to FST (Leinonen et al. 2013).”
BackgroundInfluentialEpigenetic plasticity enables copepods to cope with ocean acidification
Lee, Y. H., Kim, M., Wang, M., Bhandari, R. K., Park, H. G., Wu, R. S. S., & Lee, J. (2022) · Nature Climate Change · doi:10.1038/s41558-022-01477-4 · Cited by 56
Ramírez‐Valiente, J. A., Deacon, N. J., Etterson, J. R., Sparks, J. P., Sparks, K. L., Longwell, T., Pilz, G. E., & Cavender-Bares, J. M. (2018) · Molecular Ecology · doi:10.1111/mec.14566 · Cited by 47
“Only a few studies have analysed QST under contrasting growing conditions (or treatments), most of them in animals (Leinonen et al., 2013).”
BackgroundInfluentialMcDonald, B. A. (2015) · Plant Pathology · doi:10.1111/ppa.12415 · Cited by 60
Firmat, C., Delzon, S., Louvet, J., Parmentier, J., & Kremer, A. (2017) · Journal of Evolutionary Biology · doi:10.1111/jeb.13185 · Cited by 47
“…the QST distribution was compared to the extreme tail of the FST distribution: a 95% upper bound was calculated from the mean FST assuming a chisquare distribution with (npopulations – 1) degrees of freedom, that is the Lewontin–Krakauer distribution (Lewontin & Krakauer, 1973; Whitlock, 2008).”
The evolution of metabolism: How to test evolutionary hypotheses at the genomic level
Scossa, F., & Fernie, A. R. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.02.009 · Cited by 59
“…[108]; here, suffice to say that F ST , in its sim-plified form, may be expressed as: 2 between þ r 2 within ð 1 Þ where r 2 between is the total genetic variation in a defined locus between populations while r 2 within is the total genetic variation in the same locus within the population [156].”
BackgroundMethodSeeholzer, G., & Brumfield, R. (2018) · Molecular Ecology · doi:10.1111/mec.14429 · Cited by 46
Heritability and quantitative genetic divergence of serotiny, a fire-persistence plant trait
Hernandez‐Serrano, A., Verdú, M., del Blanco, L. S., Climent, J., González‐Martínez, S. C., & Pausas, J. G. (2014) · Annals of Botany · doi:10.1093/aob/mcu142 · Cited by 72
Sun, Y., & Roderick, G. (2019) · Journal of Ecology · doi:10.1111/1365-2745.13198 · Cited by 45
QST–FST comparisons with unbalanced half‐sib designs
Gilbert, K., & Whitlock, M. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12303 · Cited by 45
“QST (Prout & Barker 1993; Spitze 1993) is a commonly used metric of the relative amount of genetic differentiation among populations for quantitative traits (Lynch et al. 1999; Leinonen et al. 2008, 2013; Whitlock 2008).”
BackgroundNeutral and adaptive genomic signatures of rapid poleward range expansion
Swaegers, J., Mergeay, J., Geystelen, A. V., Therry, L., Larmuseau, M., & Stoks, R. (2015) · Molecular Ecology · doi:10.1111/mec.13462 · Cited by 57
“2006), which both may be strong and underlie trait evolution (Leinonen et al. 2013).”
BackgroundBarnes, A. C., Rodríguez-Zapata, F., Juárez-Núñez, K. A., Gates, D. J., Janzen, G. M., Kur, A., Wang, L., Jensen, S. E., Estévez-Palmas, J. M., Crow, T. M., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2100036119 · Cited by 63
Chung, M. Y., Son, S., Herrando‐Moraira, S., Tang, C. Q., Maki, M., Kim, Y.-D., López-Pujol, J., Hamrick, J., & Chung, M. (2020) · Conservation Biology · doi:10.1111/cobi.13467 · Cited by 43
“…in several tree species among-population differentiation at several quantitative (morphological and physiological) traits (mean measured as QST, the among-population differentiation at quantitative, adaptive traits) is higher than GST (Lamy et al. 2012; De Kort et al., 2013; Leinonen et al. 2013).”
BackgroundTibblin, P., Forsman, A., Koch‐Schmidt, P., Nordahl, O., Johannessen, P., Nilsson, J., & Larsson, P. (2015) · American Naturalist · doi:10.1086/681597 · Cited by 43
“To establish whether differentiation among subpopulations was adaptive, we compared phenotypic differentiation estimated from the common-garden experiment (QST) with the neutral expectation based on microsatellite loci (FST; Leinonen et al. 2013).”
BackgroundMethodHaguenauer, A., Zuberer, F., Ledoux, J., & Aurelle, D. (2013) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2013.10.010 · Cited by 58
The Genetics Underlying Natural Variation in the Biotic Interactions of Arabidopsis thaliana
Roux, F., & Bergelson, J. M. (2016) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2016.03.001 · Cited by 50
Detecting Adaptive Differentiation in Structured Populations with Genomic Data and Common Gardens
Josephs, E. B., Berg, J. J., Ross‐Ibarra, J., & Coop, G. (2019) · Genetics · doi:10.1534/genetics.118.301786 · Cited by 45
Guo, B., Lu, D., Liao, W. B., & Merilä, J. (2016) · Molecular Ecology · doi:10.1111/mec.13722 · Cited by 48
“…the outlier approaches were able to pick up footprints of directional selection; in general, it becomes more difficult to detect signals of adaptive differentiation as the neutral genetic baseline increases (e.g. O’Hara & Meril€a 2005; Leinonen et al. 2008, 2013; Whitlock & Guillaume 2009).”
BackgroundSelf-citationCamarretta, N., Harrison, P., Lucieer, A., Potts, B., Davidson, N., & Hunt, M. (2020) · Remote Sensing · doi:10.3390/rs12193184 · Cited by 40
“Traits exhibiting a significant QST > FST signaled evidence for divergent selection driving among provenance variation [26].”
BackgroundMíguez-Soto, B., Fernández-Cruz, J., & Fernández-López, J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211315 · Cited by 40
Causes and consequences of intra-specific variation in vertebral number
Tibblin, P., Berggren, H., Nordahl, O., Larsson, P., & Forsman, A. (2016) · Scientific Reports · doi:10.1038/srep26372 · Cited by 40
Barley, A. J., Monnahan, P. J., Thomson, R. C., Grismer, L. L., & Brown, R. M. (2015) · Molecular Ecology · doi:10.1111/mec.13151 · Cited by 42
“Although comparisons of distributions of FST versus PST represent a primary source of evidence for morphological selection (Leinonen et al. 2013), there is little consensus and/ or justification for estimating the necessary confidence intervals.”
BackgroundEvolution of plant drought strategies and herbivore tolerance after two decades of climate change
Rauschkolb, R., Li, Z., Godefroid, S., Dixon, L., Durka, W., Májeková, M., Bossdorf, O., Enßlin, A., & Scheepens, J. F. (2022) · New Phytologist · doi:10.1111/nph.18125 · Cited by 51
“The Q ST of onset of flowering was larger than the F ST in three species ( M. tricuspidata , C. vulgare and L. hispidus ), suggesting directional selection as the most likely responsible evolutionary process (Leinonen et al ., 2013).”
BackgroundParallel Speciation of Wild Rice Associated with Habitat Shifts
Cai, Z., Zhou, L., Ren, N., Xu, X., Liu, R., Huang, L., Zheng, X., Meng, Q., Du, Y.-S., Wang, M., et al. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz029 · Cited by 40
“…between species is an adaptive response to divergent habitats, we performed QST–FST analysis, a method that has been widely used to examine whether natural selection or genetic drift is the main cause of population differentiation in phenotypic traits (McKay and Latta 2002; Leinonen et al. 2013).”
MethodResultInfluentialHäkli, K., Østbye, K., Kahilainen, K., Amundsen, P., & Præbel, K. (2018) · Ecology and Evolution · doi:10.1002/ece3.3876 · Cited by 38
Reyes‐Centeno, H., Ghirotto, S., & Harvati, K. (2017) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23060 · Cited by 37
Population genetics revisited - towards a multidisciplinary research field
Habel, J. C., Zachos, F. E., Dapporto, L., Rödder, D., Radespiel, U., Tellier, A., & Schmitt, T. (2015) · Biological Journal of the Linnean Society · doi:10.1111/bij.12481 · Cited by 33
“Thus, the distinction between fitness-related and peripheral (often morphological) traits is not general as the forms of natural selection are different (directional vs. stabilizing) and of different magnitudes (e.g. critically reflected in the QST–FST debate, Leinonen et al., 2013).”
BackgroundClo, J., Gay, L., & Ronfort, J. (2019) · Evolution; international journal of organic evolution · doi:10.1111/evo.13789 · Cited by 36
“More data have been published for numerous plant species since this literature review (Lavergne and Molofsky 2007; Leinonen et al. 2013; Wood et al. 2016), making it timely to conduct a new and more precise study.”
MethodHigh degree of genetic differentiation in marine three‐spined sticklebacks (Gasterosteus aculeatus)
Defaveri, J., Shikano, T., Shimada, Y., & Merilä, J. (2013) · Molecular Ecology · doi:10.1111/mec.12430 · Cited by 36
“…this heterogeneous differentiation is consistent with the view that has emerged from a totally independent body of work comparing levels of differentiation in neutral marker genes with those in quantitative traits (reviewed in: Meril€a & Crnokrak 2001; Cano et al. 2008; Leinonen et al. 2008, 2013).”
BackgroundResultInfluentialSelf-citation
Metadata
- Authors
- Leinonen, T., McCairns, R. J. S., O'Hara, R. B., & Merilä, J.
- Affiliations
- University of Helsinki (FI)
- Corresponding author
- Merilä, Juha
- Venue
- Nature Reviews Genetics
- Published
- 2013-02-05
- Volume
- 14
- Issue
- 3
- Pages
- 179-190
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2018112412
- Cited by
- 422
- References
- 122
- Citations by year
- 2026: 16 · 2025: 22 · 2024: 16 · 2023: 24 · 2022: 34 · 2021: 34 · 2020: 34 · 2019: 47 · 2018: 46 · 2017: 28 · 2016: 40 · 2015: 42 · 2014: 20 · 2013: 18
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- QST-FST comparison, natural selection, genetic drift, genetic differentiation, polygenic traits, genomic heterogeneity, evolutionary genetics, ecological genetics, omics data analysis
- MeSH terms
- Animals, Ecology, Genetic Markers, Genetics, Population, Humans, Selection, Genetic, Genetic Variation, Genetic Heterogeneity, Evolution, Molecular, Genomics, Quantitative Trait Loci, Genetic Drift
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