Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 7

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Cultural transmission of reproductive success impacts genomic diversity, coalescent tree topologies, and demographic inferences

Guez, Jérémy, Achaz, Guillaume, Bienvenu, François, Cury, Jean, Toupance, Bruno, Heyer, Évelyne, Jay, Flora, Austerlitz, Frédéric·2023·GENETICS

Published version of a preprint

Abstract

Cultural transmission of reproductive success has been observed in many human populations as well as other animals. Cultural transmission of reproductive success consists of a positive correlation of nongenetic origin between the progeny size of parents and children. This correlation can result from various factors, such as the social influence of parents on their children, the increase of children’s survival through allocare from uncles and aunts, or the transmission of resources. Here, we study the evolution of genomic diversity over time under cultural transmission of reproductive success. Cultural transmission of reproductive success has a threefold impact on population genetics: (1) the effective population size decreases when cultural transmission of reproductive success starts, mimicking a population contraction, and increases back to its original value when cultural transmission of reproductive success stops; (2) coalescent tree topologies are distorted under cultural transmission of reproductive success, with higher imbalance and a higher number of polytomies; and (3) branch lengths are reduced nonhomogenously, with a higher impact on older branches. Under long-lasting cultural transmission of reproductive success, the effective population size stabilizes but the distortion of tree topology and the nonhomogenous branch length reduction remain, yielding U-shaped site frequency spectra under a constant population size. We show that this yields a bias in site frequency spectra-based demographic inference. Considering that cultural transmission of reproductive success was detected in numerous human and animal populations worldwide, one should be cautious because inferring population past histories from genomic data can be biased by this cultural process.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/genetics/iyad007

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Research works printed but not linked: 75

  1. Austerlitz, 1998, Social transmission of reproductive behavior increases frequency of inherited disorders in a young-expanding population, Proc Natl Acad Sci U S A, 95, 15140, 10.1073/pnas.95.25.15140 · DOI
  2. Barber, 2001, The intergenerational transmission of age at first birth among married and unmarried men and women, Soc Sci Res, 30, 219, 10.1006/ssre.2000.0697 · DOI
  3. Barghi, 2020, Polygenic adaptation: a unifying framework to understand positive selection, Nat Rev Genet, 21, 769, 10.1038/s41576-020-0250-z · DOI · Paper page
  4. Barton, 1995, Linkage and the limits to natural selection, Genetics, 140, 821, 10.1093/genetics/140.2.821 · DOI
  5. Beichman, 2018, Using genomic data to infer historic population dynamics of nonmodel organisms, Annu Rev Ecol Evol Syst, 49, 433, 10.1146/annurev-ecolsys-110617-062431 · DOI
  6. Bersaglieri, 2004, Genetic signatures of strong recent positive selection at the lactase gene, Am J Hum Genet, 74, 1111, 10.1086/421051 · DOI
  7. Bienvenu, 2021, Revisiting Shao and Sokal’s B2 index of phylogenetic balance, J Math Biol, 83, 1, 10.1007/s00285-021-01662-7 · DOI
  8. Blum, 2006, Matrilineal fertility inheritance detected in Hunter–Gatherer populations using the imbalance of gene genealogies, PLoS Genet, 2, e122, 10.1371/journal.pgen.0020122 · DOI · Paper page
  9. Bonduriansky, 2018, Extended Heredity: A New Understanding of Inheritance and Evolution
  10. Brandenburg, 2012, Impact of fertility transmission and other sociodemographic factors on reproductive success and coalescent trees, Genet Res, 94, 121, 10.1017/S0016672312000298 · DOI
  11. Braverman, 1995, The hitchhiking effect on the site frequency spectrum of DNA polymorphisms, Genetics, 140, 783, 10.1093/genetics/140.2.783 · DOI · Paper page
  12. Chaix, 2004, The genetic or mythical ancestry of descent groups: lessons from the y chromosome, Am J Hum Genet, 75, 1113, 10.1086/425938 · DOI · Paper page
  13. Colless, 1982, Review of “Phylogenetics: the theory and practice of phylogenetic systematics”, Syst Zool, 31, 100, 10.2307/2413420 · DOI
  14. de Valk, 2013, Intergenerational discrepancies in fertility preferences among immigrant and Dutch families, Hist Fam, 18, 209, 10.1080/1081602X.2013.826591 · DOI
  15. Duncan, 1965, Marital fertility and size of family of orientation, Demography, 2, 508, 10.2307/2060135 · DOI
  16. Durrett, 2005, A coalescent model for the effect of advantageous mutations on the genealogy of a population, Stoch Process Appl, 115, 1628, 10.1016/j.spa.2005.04.009 · DOI
  17. Engh, 2000, Mechanisms of maternal rank “inheritance” in the spotted hyaena, Crocuta crocuta, Anim Behav, 60, 323, 10.1006/anbe.2000.1502 · DOI
  18. Ewens, 2016, Encyclopedia of Evolutionary Biology, 494, 10.1016/B978-0-12-800049-6.00025-1 · DOI
  19. Excoffier, 2013, Robust demographic inference from genomic and SNP data, PLoS Genet, 9, e1003905, 10.1371/journal.pgen.1003905 · DOI
  20. Fay, 2000, Hitchhiking under positive Darwinian selection, Genetics, 155, 1405, 10.1093/genetics/155.3.1405 · DOI · Paper page
  21. Frere, 2010, Social and genetic interactions drive fitness variation in a free-living dolphin population, Proc Natl Acad Sci U S A, 107, 19949, 10.1073/pnas.1007997107 · DOI
  22. Gagnon, 2001, Intergenerational correlation of effective family size in early Québec (Canada): correlation of effective family size, Am J Hum Biol, 13, 645, 10.1002/ajhb.1103 · DOI
  23. Gagnon, 2006, Transmission of migration propensity increases genetic divergence between populations, Am J Phys Anthropol, 129, 630, 10.1002/ajpa.20330 · DOI
  24. Gerbault, 2011, Evolution of lactase persistence: an example of human niche construction, Phil Trans R Soc B Biol Sci, 366, 863, 10.1098/rstb.2010.0268 · DOI
  25. Gutenkunst, 2009, Inferring the joint demographic history of multiple populations from multidimensional SNP frequency data, PLoS Genet, 5, e1000695, 10.1371/journal.pgen.1000695 · DOI · Paper page
  26. Haller, 2019, SLiM 3: forward genetic simulations beyond the Wright–Fisher model, Mol Biol Evol, 36, 632, 10.1093/molbev/msy228 · DOI · Paper page
  27. Hayward, 2021, Polygenic adaptation after a sudden change in environment, eLife, 11, e66697, 10.7554/eLife.66697 · DOI
  28. Heyer, 2012, Sex-specific demographic behaviours that shape human genomic variation: sex-specific behaviours and genomic variation, Mol Ecol, 21, 597, 10.1111/j.1365-294X.2011.05406.x · DOI · Paper page
  29. Jay, 2019, An ABC method for whole-genome sequence data: inferring paleolithic and neolithic human expansions, Mol Biol Evol, 36, 1565, 10.1093/molbev/msz038 · DOI
  30. Jennings, 2013, Differences in intergenerational fertility associations by sex and race in Saba, Dutch Caribbean, 1876–2004, Hist Fam, 18, 135, 10.1080/1081602X.2012.731016 · DOI
  31. Jennings, 2012, Intergenerational transmission of reproductive behavior during the demographic transition, J Interdiscipl Hist, 42, 543, 10.1162/JINH_a_00304 · DOI
  32. Johri, 2021, The impact of purifying and background selection on the inference of population history: problems and prospects, Mol Biol Evol, 38, 2986, 10.1093/molbev/msab050 · DOI
  33. Kawai, 1958, On the rank system in a natural group of Japanese monkey (I): the basic and dependent rank, Primates, 1, 111, 10.1007/BF01813699 · DOI
  34. Kelleher, 2016, Efficient coalescent simulation and genealogical analysis for large sample sizes, PLoS Comput Biol, 12, e1004842, 10.1371/journal.pcbi.1004842 · DOI
  35. Kelly, 2001, Lineage loss in serengeti cheetahs: consequences of high reproductive variance and heritability of fitness on effective population size, Conserv Biol, 15, 11, 10.1111/j.1523-1739.2001.99033.x · DOI
  36. Kim, 2002, Detecting a local signature of genetic hitchhiking along a recombining chromosome, Genetics, 160, 765, 10.1093/genetics/160.2.765 · DOI
  37. Kingman, 1982, The coalescent, Stoch Process Their Appl, 13, 235, 10.1016/0304-4149(82)90011-4 · DOI
  38. Kohler, 1999, Is fertility behavior in our genes? Findings from a Danish twin study, Popul Dev Rev, 25, 253, 10.1111/j.1728-4457.1999.00253.x · DOI
  39. Kolk, 2014, Multigenerational transmission of family size in contemporary Sweden, Popul Stud, 68, 111, 10.1080/00324728.2013.819112 · DOI · Paper page
  40. Lapierre, 2016, The impact of selection, gene conversion, and biased sampling on the assessment of microbial demography, Mol Biol Evol, 33, 1711, 10.1093/molbev/msw048 · DOI
  41. Lapierre, 2017, Accuracy of demographic inferences from the site frequency spectrum: the case of the Yoruba population, Genetics, 206, 439, 10.1534/genetics.116.192708 · DOI
  42. Lawson, 2011, Parental investment and the optimization of human family size, Philos Trans R Soc B Biol Sci, 366, 333, 10.1098/rstb.2010.0297 · DOI
  43. Li, 2011, A new test for detecting recent positive selection that is free from the confounding impacts of demography, Mol Biol Evol, 28, 365, 10.1093/molbev/msq211 · DOI
  44. Li, 2013, Coalescent tree imbalance and a simple test for selective sweeps based on microsatellite variation, PLoS Comput Biol, 9, e1003060, 10.1371/journal.pcbi.1003060 · DOI
  45. Liu, 2020, Stairway plot 2: demographic history inference with folded SNP frequency spectra, Genome Biol, 21, 280, 10.1186/s13059-020-02196-9 · DOI
  46. Mazet, 2016, On the importance of being structured: instantaneous coalescence rates and human evolution–lessons for ancestral population size inference, Heredity, 116, 362, 10.1038/hdy.2015.104 · DOI
  47. Mills, 2015, The biodemography of fertility: a review and future research frontiers, Köln Z für Soziol Sozialpsychologie, 67, 397, 10.1007/s11577-015-0319-4 · DOI
  48. Mulder, 2009, Intergenerational wealth transmission and the dynamics of inequality in small-scale societies, Science, 326, 682, 10.1126/science.1178336 · DOI
  49. Murphy, 1999, Is the relationship between fertility of parents and children really weak?, Biodemogr Soc Biol, 46, 122, 10.1080/19485565.1999.9988991 · DOI
  50. Murphy, 2013, The intergenerational transmission of reproductive behaviour: comparative perspectives, Hist Fam, 18, 107, 10.1080/1081602X.2013.808447 · DOI
  51. Murphy, 2001, Family-level continuities in childbearing in low-fertility societies, Eur J Popul, 17, 75, 10.1023/A:1010744314362 · DOI
  52. Nakayama, 2017, Evidence for very recent positive selection in Mongolians, Mol Biol Evol, 34, 1936, 10.1093/molbev/msx138 · DOI
  53. Neher, 2013, Genealogies of rapidly adapting populations, Proc Natl Acad Sci U S A, 110, 437, 10.1073/pnas.1213113110 · DOI
  54. Pettay, 2005, Heritability and genetic constraints of life-history trait evolution in preindustrial humans, Proc Natl Acad Sci U S A, 102, 2838, 10.1073/pnas.0406709102 · DOI · Paper page
  55. Pluzhnikov, 2007, Correlation of intergenerational family sizes suggests a genetic component of reproductive fitness, Am J Hum Genet, 81, 165, 10.1086/518446 · DOI
  56. Potter, 1955, Social and psychological factors affecting fertility. XXVIII. The influence of siblings and friends on fertility, Milbank Mem Fund Q, 33, 246, 10.2307/3348292 · DOI
  57. Rodgers, 2001, Behavior genetic modeling of human fertility: findings from a contemporary Danish twin study, Demography, 38, 14, 10.1353/dem.2001.0009 · DOI
  58. Sackin, 1972, “Good” and “bad” phenograms, Syst Biol, 21, 225, 10.1093/sysbio/21.2.225 · DOI
  59. Sanchez, 2021, Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation, Mol Ecol Resour, 21, 2645, 10.1111/1755-0998.13224 · DOI
  60. Segurel, 2020, Why and when was lactase persistence selected for? Insights from Central Asian herders and ancient DNA, PLoS Biol, 18, e3000742, 10.1371/journal.pbio.3000742 · DOI
  61. Shao, 1990, Tree balance, Syst Zool, 39, 266
  62. Sheehan, 2016, Deep learning for population genetic inference, PLoS Comput Biol, 12, 1, 10.1371/journal.pcbi.1004845 · DOI
  63. Sibert, 2002, Wright–Fisher revisited: the case of fertility correlation, Theor Popul Biol, 62, 181, 10.1006/tpbi.2002.1609 · DOI
  64. Smith, 1974, The hitch-hiking effect of a favourable gene, Genet Res, 23, 23, 10.1017/S0016672300014634 · DOI · Paper page
  65. Sorokowski, 2013, Why pigs are important in Papua? Wealth, height and reproductive success among the Yali tribe of West Papua, Econ Human Biol, 11, 382, 10.1016/j.ehb.2012.02.008 · DOI
  66. Speidel, 2019, A method for genome-wide genealogy estimation for thousands of samples, Nat Genet, 51, 1321, 10.1038/s41588-019-0484-x · DOI · Paper page
  67. Stephan, 2019, Selective sweeps, Genetics, 211, 5, 10.1534/genetics.118.301319 · DOI
  68. Studer, 2017, Selection during maize domestication targeted a gene network controlling plant and inflorescence architecture, Genetics, 207, 755, 10.1534/genetics.117.300071 · DOI
  69. Studer, 2011, Identification of a functional transposon insertion in the maize domestication gene tb1, Nat Genet, 43, 1160, 10.1038/ng.942 · DOI
  70. Swallow, 2003, Genetics of lactase persistence and lactose intolerance, Annu Rev Genet, 37, 197, 10.1146/annurev.genet.37.110801.143820 · DOI
  71. Terhorst, 2017, Robust and scalable inference of population history from hundreds of unphased whole-genomes, Nat Genet, 49, 303, 10.1038/ng.3748 · DOI
  72. Wang, 1999, The limits of selection during maize domestication, Nature, 398, 236, 10.1038/18435 · DOI · Paper page
  73. Whitehead, 1998, Cultural selection and genetic diversity in matrilineal whales, Science, 282, 1708, 10.1126/science.282.5394.1708 · DOI · Paper page
  74. Wright, 1932, Proceedings of the XI International Congress of Genetics.
  75. Wright, 1938, Size of population and breeding structure in relation to evolution, Science, 87, 430

Cited by

See all 7

Metadata

Authors
Guez, J., Achaz, G., Bienvenu, F., Cury, J., Toupance, B., Heyer, É., Jay, F., & Austerlitz, F.
Venue
GENETICS
Published
2023-02-14
Volume
223
Issue
4
ISSN
1943-2631
Cited by
7
References
8
Language
en
Funders
  • CNRS
  • Dr. Max Rössler, the Walter Haefner Foundation, and the ETH Zürich Foundation
  • Human Frontier Science

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