Adaptive, convergent origins of the pygmy phenotype in African rainforest hunter-gatherers
Open accessAbstract
The evolutionary history of the human pygmy phenotype (small body size), a characteristic of African and Southeast Asian rainforest hunter-gatherers, is largely unknown. Here we use a genome-wide admixture mapping analysis to identify 16 genomic regions that are significantly associated with the pygmy phenotype in the Batwa, a rainforest hunter-gatherer population from Uganda (east central Africa). The identified genomic regions have multiple attributes that provide supporting evidence of genuine association with the pygmy phenotype, including enrichments for SNPs previously associated with stature variation in Europeans and for genes with growth hormone receptor and regulation functions. To test adaptive evolutionary hypotheses, we computed the haplotype-based integrated haplotype score (iHS) statistic and the level of population differentiation (FST) between the Batwa and their agricultural neighbors, the Bakiga, for each genomic SNP. Both |iHS| and FST values were significantly higher for SNPs within the Batwa pygmy phenotype-associated regions than the remainder of the genome, a signature of polygenic adaptation. In contrast, when we expanded our analysis to include Baka rainforest hunter-gatherers from Cameroon and Gabon (west central Africa) and Nzebi and Nzime neighboring agriculturalists, we did not observe elevated |iHS| or FST values in these genomic regions. Together, these results suggest adaptive and at least partially convergent origins of the pygmy phenotype even within Africa, supporting the hypothesis that small body size confers a selective advantage for tropical rainforest hunter-gatherers but raising questions about the antiquity of this behavior.
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Height seems to be under positive selection within European and African populations separately.
“While height seems to be under positive selection within European and African populations separately [19,34], it does not appear to be driven by divergent selection pressures across the populations considered here.”
From Investigating the case of human nose shape and climate adaptation (2017) · cites this paper as [34]
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Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704 · see citing works
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · see citing works
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692 · see citing works
THE GENETICAL STRUCTURE OF POPULATIONS
Wright, S. (1949) · Annals of Eugenics · doi:10.1111/j.1469-1809.1949.tb02451.x · Cited by 6,729 · see citing works
Genome-wide efficient mixed-model analysis for association studies
Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627 · cited 5× · see citing works
“Most of these regions were supported by a second association method, implemented in the program GEMMA (21), that specifically accounts for interindividual relatedness.”
MethodInfluentialSelf-citationA Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,912 · see citing works
Foll, M., & Gaggiotti, O. E. (2008) · Genetics · doi:10.1534/genetics.108.092221 · Cited by 2,748 · see citing works
Self-citationThe positive false discovery rate: a Bayesian interpretation and the q-value
Storey, J. D. (2003) · The Annals of Statistics · doi:10.1214/aos/1074290335 · Cited by 2,204 · see citing works
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Li, J. Z., Absher, D. M., Tang, H., Southwick, A. M., Casto, A. M., Ramachandran, S., Cann, H. M., Barsh, G. S., Feldman, M. W., Cavalli-Sforza, L. L., et al. (2008) · Science · doi:10.1126/science.1153717 · Cited by 1,947 · see citing works
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Lango Allen, H., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F., Willer, C. J., Jackson, A. U., Vedantam, S., Raychaudhuri, S., et al. (2010) · Nature · doi:10.1038/nature09410 · Cited by 1,945 · see citing works
Improved whole-chromosome phasing for disease and population genetic studies
Delaneau, O., Zagury, J., & Marchini, J. (2012) · Nature Methods · doi:10.1038/nmeth.2307 · Cited by 1,309 · see citing works
The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation
Pritchard, J. K., Pickrell, J. K., & Coop, G. (2010) · Current Biology · doi:10.1016/j.cub.2009.11.055 · Cited by 932 · cited 1× · see citing works
“We note that we use polygenic to reference multiple regions of the genome generally (30) rather than necessarily implicate the involvement of any gene coding changes in the phenotype.”
MethodRFMix: A Discriminative Modeling Approach for Rapid and Robust Local-Ancestry Inference
Maples, B. K., Gravel, S., Kenny, E. E., & Bustamante, C. D. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.06.020 · Cited by 900 · see citing works
Self-citationGenome-wide association analysis identifies 20 loci that influence adult height
Initiative, D. G., Weedon, M. N., The Wellcome Trust Case Control Consortium, Cambridge GEM Consortium, Lango, H., Lindgren, C. M., Wallace, C., Evans, D. M., Mangino, M., Freathy, R. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.121 · Cited by 826 · see citing works
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
Zhou, X., Carbonetto, P. S., & Stephens, M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003264 · Cited by 801 · see citing works
Self-citationSignals of recent positive selection in a worldwide sample of human populations
Pickrell, J. K., Coop, G., Novembre, J., Kudaravalli, S., Li, J. Z., Absher, D., Srinivasan, B. S., Barsh, G. S., Myers, R. M., Feldman, M. W., et al. (2009) · Genome Research · doi:10.1101/gr.087577.108 · Cited by 717 · see citing works
Identification of ten loci associated with height highlights new biological pathways in human growth
Initiative, T. D. G., Lettre, G., FUSION, KORA, The Prostate, L. C. A. O. C. S. T., Study, T. N. H., SardiNIA, Jackson, A., Gieger, C., Schumacher, F. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.125 · Cited by 583 · see citing works
Sensitive detection of chromosomal segments of distinct ancestry in admixed populations
Price, A. L., Tandon, A., Patterson, N., Barnes, K. C., Rafaels, N., Ruczinski, I., Beaty, T. H., Mathias, R., Reich, D., & Myers, S. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000519 · Cited by 539 · see citing works
Population Structure and Cryptic Relatedness in Genetic Association Studies
Astle, W. J., & Balding, D. J. (2009) · Statistical Science · doi:10.1214/09-sts307 · Cited by 455 · see citing works
Adaptation–not by sweeps alone
Pritchard, J. K., & Di Rienzo, A. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2880 · Cited by 445 · see citing works
Common variants in the GDF5-UQCC region are associated with variation in human height
Sanna, S., Jackson, A., Nagaraja, R., Willer, C. J., Chen, W., Bonnycastle, L. L., Shen, H., Timpson, N. J., Lettre, G., Usala, G., et al. (2008) · Nature Genetics · doi:10.1038/ng.74 · Cited by 391 · see citing works
Hunting and Gathering in Tropical Rain Forest: Is It Possible?
Bailey, R. C., HEAD, G., Jenike, M. R., OWEN, B., Rechtman, R. B., & ZECHENTER, E. (1989) · American Anthropologist · doi:10.1525/aa.1989.91.1.02a00040 · Cited by 371 · see citing works
Berthiaume, L. G. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1414 · Cited by 367 · see citing works
Enredo and Pecan: genome-wide mammalian consistency-based multiple alignment with paralogs.Preprint
Paten, B., Herrero, J., Beal, K., Fitzgerald, S., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.076554.108 · Cited by 348 · see citing works
Lachance, J., Vernot, B., Elbers, C. C., Ferwerda, B., Froment, A., Bodo, J.-M., Lema, G., Fu, W., Nyambo, T., Rebbeck, T. R., et al. (2012) · Cell · doi:10.1016/j.cell.2012.07.009 · Cited by 334 · see citing works
Evidence of widespread selection on standing variation in Europe at height-associated SNPs
Turchin, M. C., Chiang, C. W., Palmer, C. D., Sankararaman, S., Reich, D., Genetic Investigation of ANthropometric Traits (GIANT) Consortium, & Hirschhorn, J. N. (2012) · Nature Genetics · doi:10.1038/ng.2368 · Cited by 329 · see citing works
Soranzo, N., Rivadeneira, F., Chinappen-Horsley, U., Malkina, I., Richards, J. B., Hammond, N., Stolk, L., Nica, A., Inouye, M., Albert Hofman, D., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000445 · Cited by 276 · see citing works
Life history trade-offs explain the evolution of human pygmies
Migliano, A. B., Vinicius, L., & Lahr, M. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708024105 · Cited by 239 · see citing works
Hart, T. B., & Hart, J. A. (1986) · Human Ecology · doi:10.1007/bf00889209 · Cited by 206 · see citing works
Phillipson, D. W. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511800313 · Cited by 196 · see citing works
Genome-wide nucleotide-level mammalian ancestor reconstructionPreprint
Paten, B., Herrero, J., Fitzgerald, S., Beal, K., Flicek, P., Holmes, I., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.076521.108 · Cited by 195 · see citing works
Patin, É., Laval, G., Barreiro, L. B., Salas, A., Semino, O., Santachiara-Benerecetti, S., Kídd, K. K., Kidd, J. R., Veen, L. J. V. D., Hombert, J.-M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000448 · Cited by 182 · see citing works
Self-citationHeadland, T. N. (1987) · Human Ecology · doi:10.1007/bf00888000 · Cited by 166 · see citing works
Herráez, D. L., Bauchet, M., Tang, K., Theunert, C., Pugach, I., Li, J., Nandineni, M. R., Gross, A., Scholz, M. R., & Stoneking, M. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007888 · Cited by 161 · see citing works
Evolution of the human pygmy phenotype
Perry, G. H., & Dominy, N. J. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.11.008 · Cited by 161 · see citing works
Self-citationFischer, M. C., Foll, M., Excoffier, L., & Heckel, G. (2011) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05015.x · Cited by 154 · see citing works
Self-citationJarvis, J. P., Scheinfeldt, L. B., Soi, S., Lambert, C., Omberg, L., Ferwerda, B., Froment, A., Bodo, J.-M., Beggs, W., Hoffman, G., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002641 · Cited by 139 · see citing works
Veeramah, K. R., Wegmann, D., Woerner, A. E., Mendez, F. L., Watkins, J. C., Destro‐Bisol, G., Soodyall, H., Louie, L. G., & Hammer, M. F. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr212 · Cited by 139 · see citing works
The maximum rate of mammal evolution
Evans, A. R., Jones, D., Boyer, A. G., Brown, J. H., Costa, D. P., Ernest, S. K. M., Fitzgerald, E. M. G., Fortelius, M., Gittleman, J. L., Hamilton, M. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120774109 · Cited by 128 · see citing works
Selection and Adaptation in the Human Genome
Fu, W., & Akey, J. M. (2013) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-091212-153509 · Cited by 123 · see citing works
Estimating population structure from AFLP amplification intensity
Foll, M., Fischer, M. C., Heckel, G., et al. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04820.x · Cited by 121 · see citing works
Self-citationPatin, É., Siddle, K. J., Laval, G., Quach, H., Harmant, C., Becker, N. S., Froment, A., Regnault, B., Lemée, L., Gravel, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4163 · Cited by 121 · see citing works
Self-citationInsights into the Demographic History of African Pygmies from Complete Mitochondrial Genomes
Batini, C., Lopes, J. S., Behar, D. M., Calafell, F., Jorde, L. B., Veen, L. J. V. D., Quintana‐Murci, L., Spedini, G., Destro‐Bisol, G., & Comas, D. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msq294 · Cited by 121 · see citing works
Self-citationForaging in tropical rain forests: The case of the penan of Sarawak, East Malaysia (Borneo)
Brosius, J. P. (1991) · Human Ecology · doi:10.1007/bf00888743 · Cited by 120 · see citing works
Wild yams revisited: Is independence from agriculture possible for rain forest hunter-gatherers?
Bahuchet, S., McKey, D., & De, I. G. (1991) · Human Ecology · doi:10.1007/bf00888746 · Cited by 107 · see citing works
N’Diaye, A., Chen, G. K., Palmer, C. D., Ge, B., Tayo, B. O., Mathias, R. A., Ding, J., Nalls, M. A., Adeyemo, A., Adoue, V., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002298 · Cited by 98 · see citing works
Introduction: Have hunter-gatherers ever lived in tropical rain forest independently of agriculture?
Headland, T. N., & Bailey, R. C. (1991) · Human Ecology · doi:10.1007/bf00888742 · Cited by 97 · see citing works
Human Responses to Changing Environments in Central Africa Between 40,000 and 12,000 B.P.
Cornelissen, E. (2002) · Journal of World Prehistory · doi:10.1023/a:1020949501304 · Cited by 96 · see citing works
Forest people: The role of African rainforests in human evolution and dispersal
Mercader, J. (2002) · Evolutionary Anthropology Issues News and Reviews · doi:10.1002/evan.10022 · Cited by 95 · see citing works
The possibility of independent foraging in the rain forest of Peninsular Malaysia
Endicott, K. M., & Bellwood, P. S. (1991) · Human Ecology · doi:10.1007/bf00888744 · Cited by 87 · see citing works
Destro‐Bisol, G., Coia, V., Boschi, I., Verginelli, F., Caglià, A., Pascali, V. L., Spedini, G., & Calafell, F. (2004) · The American Naturalist · doi:10.1086/381405 · Cited by 87 · see citing works
Bahuchet, S. (1993) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 84 · see citing works
GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments
Keller, A., Backes, C., Al-Awadhi, M., Gerasch, A., Küntzer, J., Kohlbacher, O., Kaufmann, M., & Lenhof, H. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-552 · Cited by 81 · see citing works
Evolution in coyotes ( Canis latrans ) in response to the megafaunal extinctions
Meachen, J., & Samuels, J. X. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113788109 · Cited by 67 · see citing works
Yasuoka, H. (2006) · Human Ecology · doi:10.1007/s10745-006-9017-1 · Cited by 65 · see citing works
Migliano, A. B., Romero, I. G., Metspalu, M., Leavesley, M., Pagani, L., Antão, T., Huang, D., Sherman, B. T., Siddle, K., Scholes, C., et al. (2013) · Human Biology · doi:10.3378/027.085.0313 · Cited by 64 · see citing works
Indirect evidence for the genetic determination of short stature in African Pygmies
Becker, N. S. A., Verdu, P., Froment, A., Le Bomin, S., Pagezy, H., Bahuchet, S., & Heyer, E. (2011) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21512 · Cited by 64 · see citing works
Hunting in lowland, tropical rain forest: Towards a model of non-agricultural subsistence
Dwyer, P. D., & Minnegal, M. (1991) · Human Ecology · doi:10.1007/bf00888745 · Cited by 63 · see citing works
The Central African rain forest: Historical speculation and archaeological facts
Eggert, M. Κ. H. (1992) · World Archaeology · doi:10.1080/00438243.1992.9980190 · Cited by 53 · see citing works
Diamond, J. M. (1991) · Nature · doi:10.1038/354111a0 · Cited by 52 · see citing works
The Rain‐Forest Ecosystem as a Resource for Hunting and Gathering
Colinvaux, P. A., & Bush, M. B. (1991) · American Anthropologist · doi:10.1525/aa.1991.93.1.02a00100 · Cited by 49 · see citing works
Making a living in the tropical forest: Yuqu� foragers in the Bolivian Amazon
Stearman, A. M. (1991) · Human Ecology · doi:10.1007/bf00888747 · Cited by 28 · see citing works
Mercader, J., Garralda, M. D., Pearson, O. M., et al. (2001) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1053 · Cited by 17 · see citing works
Nayenga, P. F. B., & Ngologoza, P. (2000) · The International Journal of African Historical Studies · doi:10.2307/220706 · Cited by 13 · see citing works
Günther, T., & Schmid, K. J. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-232 · Cited by 12 · see citing works
Edel, M. M., & Edel, A. (2017) · Routledge eBooks · doi:10.4324/9781351292603 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [4]Cavalli-Sforza LL. African pygmies: An evaluation of the state of research. In: Cavalli-Sforza LL, editor. African Pygmies. Orlando, FL: Academic Press; 1986. pp. 361–426. [Google Scholar]
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- Authors
- Perry, G. H., Foll, M., Grenier, J.-C., Patin, E., Nédélec, Y., Pacis, A., Barakatt, M., Gravel, S., Zhou, X., Nsobya, S. L., Excoffier, L., Quintana-Murci, L., Dominy, N. J., & Barreiro, L. B.
- Affiliations
- Pennsylvania State University (US)
- SIB Swiss Institute of Bioinformatics (CH)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Institut Pasteur, Unit of Human Evolutionary Genetics, 75015 Paris, France;
- School of Computer Science, and
- McGill University (CA)
- University of Chicago (US)
- Department of Pathology, Makerere University, Kampala, Uganda;
- University of Bern (CH)
- Dartmouth College (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-08-18
- Volume
- 111
- Issue
- 35
- Pages
- E3596-603
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4156716
- OpenAlex
- W2141155485
- Cited by
- 105
- References
- 67
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 4 · 2023: 11 · 2022: 6 · 2021: 13 · 2020: 7 · 2019: 10 · 2018: 16 · 2017: 3 · 2016: 14 · 2015: 11 · 2014: 1
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- small body size, Batwa, polygenic adaptation, convergent evolution, integrated haplotype score, genetic differentiation, growth hormone receptor, admixture mapping, Baka, farmers, tropical rainforest
- MeSH terms
- Adaptation, Physiological, Biological Evolution, Growth Disorders, Humans, Models, Genetic, Phenotype, Selection, Genetic, Uganda, Genome, Human, Polymorphism, Single Nucleotide, Black People, Body Size, Genome-Wide Association Study
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