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  Mate choice optimizes offspring MHC genetics and drives sexual reproduction

Milinski, M. (2016). Mate choice optimizes offspring MHC genetics and drives sexual reproduction. Immunogenetics: Open Access; Omics Publishing Group, 1(106): 1000106. doi:10.4172/IGOA.1000105.

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mate-choice-optimizes-offspring-mhc-genetics-and-drives-sexualreproduction-IGOA-1000105 (2).pdf (Publisher version), 581KB
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mate-choice-optimizes-offspring-mhc-genetics-and-drives-sexualreproduction-IGOA-1000105 (2).pdf
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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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 Creators:
Milinski, Manfred1, Author           
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1Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445634              

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Free keywords: Polymorphic; Major histocompatibility; Sexual reproduction
 Abstract: Sexual reproduction can be maintained only in an ever-changing world of diseases generating a never-ending coevolutionary arms race between infectious diseases and their hosts. The polymorphic Major Histocompatibility Complex (MHC) allows vertebrates including humans to track changing parasites through olfactory mate choice for the partner that offers the currently optimal complementary set of MHC alleles. The extremely high standing variation with more than 1000 different MHC alleles present also in human populations offers ample opportunity for choice. What is needed to respond to a new parasite mostly already exists and does not need to be invented through mutations. Adapting to locally different parasites can induce speciation through locally adapted sets of immunogenes.

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Language(s): eng - English
 Dates: 2015-02-262015-03-222015-03-252016
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
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 Identifiers: DOI: 10.4172/IGOA.1000105
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Title: Immunogenetics: Open Access; Omics Publishing Group
Source Genre: Journal
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Pages: 6 Volume / Issue: 1 (106) Sequence Number: 1000106 Start / End Page: - Identifier: -