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Genetic load and biological changes to extant humans

Published online by Cambridge University Press:  11 August 2020

Arthur Saniotis*
Affiliation:
Department of Anthropology, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland Biological Anthropology and Comparative Anatomy Research Unit, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
Maciej Henneberg
Affiliation:
Biological Anthropology and Comparative Anatomy Research Unit, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia Institute of Evolutionary Medicine, University of Zürich, Zürich, Switzerland
Kazhaleh Mohammadi
Affiliation:
Department of Medical Laboratory Science. Knowledge University, Erbil, Kurdistan Region, Iraq
*
*Corresponding author. Email: [email protected]

Abstract

Extant humans are currently increasing their genetic load, which is informing present and future human microevolution. This has been a gradual process that has been rising over the last centuries as a consequence of improved sanitation, nutritional improvements, advancements in microbiology and medical interventions, which have relaxed natural selection. Moreover, a reduction in infant and child mortality and changing societal attitudes towards fertility have led to a decrease in total fertility rates (TFRs) since the 19th century. Generally speaking, decreases in differential fertility and mortality have meant that there is less opportunity for natural selection to eliminate deleterious mutations from the human gene pool. It has been argued that the average human may carry ~250–300 mutations that are mostly deleterious, as well as several hundred less-deleterious variants. These deleterious alleles in extant humans mean that our fitness is being constrained. While such alleles are viewed as reducing human fitness, they may also have had an adaptive function in the past, such as assisting in genetic complexity, sexual recombination and diploidy. Saying this, our current knowledge on these fitness compromising alleles is still lacking.

Type
Short Report
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Agrawal, AF and Whitlock, MC (2012) Mutation load: the fitness of individuals in populations where deleterious alleles are abundant. Annual Review of Ecology, Evolution, and Systematics 43, 115135.CrossRefGoogle Scholar
Armocida, E, Böni, T, Rühli, FJ and Galassi, FM (2016) Does acromegaly suffice to explain the origin of Pulcinella? A novel interpretation. European Journal of Internal Medicine 28, e16e17.CrossRefGoogle ScholarPubMed
Brace, CL (1964) The probable mutation effect. American Naturalist 98(903), 453455.CrossRefGoogle Scholar
Holloway, KL, Henneberg, RJ, de Barros Lopes, M and Henneberg, M (2011) Evolution of human tuberculosis: a systematic review and meta-analysis of paleopathological evidence. Homo 62(6), 402458.CrossRefGoogle ScholarPubMed
Keightley, PD and Otto, SP (2006) Interference among deleterious mutations favours sex and recombination in finite populations. Nature 443, 8992.CrossRefGoogle ScholarPubMed
Lynch, M (2016) Mutation and human exceptionalism: our future genetic load. Genetics 202(3), 869875.CrossRefGoogle ScholarPubMed
Otto, SP and Goldstein, DB (1992) Recombination and the evolution of diploidy. Genetics 131, 745751.CrossRefGoogle ScholarPubMed
Saniotis, A and Henneberg, M (2011) Medicine could be constructing human bodies in the future. Medical Hypothesis 77(4), 560564.CrossRefGoogle ScholarPubMed
You, W and Henneberg, M (2017) Cancer incidence increasing globally: the role of relaxed natural selection. Evolutionary Applications 11(2), 140152.CrossRefGoogle ScholarPubMed
You, WP and Henneberg, M (2016) Type 1 diabetes prevalence increasing globally and regionally: the role of natural selection and life expectancy at birth. BMJ Open Diabetes Research & Care 4(1), e000161.CrossRefGoogle ScholarPubMed