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Extra-Pair Mating and Evolution of Cooperative Neighbourhoods

Overview of attention for article published in PLOS ONE, July 2014
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Title
Extra-Pair Mating and Evolution of Cooperative Neighbourhoods
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0099878
Pubmed ID
Authors

Sigrunn Eliassen, Christian Jørgensen

Abstract

A striking but unexplained pattern in biology is the promiscuous mating behaviour in socially monogamous species. Although females commonly solicit extra-pair copulations, the adaptive reason has remained elusive. We use evolutionary modelling of breeding ecology to show that females benefit because extra-pair paternity incentivizes males to shift focus from a single brood towards the entire neighbourhood, as they are likely to have offspring there. Male-male cooperation towards public goods and dear enemy effects of reduced territorial aggression evolve from selfish interests, and lead to safer and more productive neighbourhoods. The mechanism provides adaptive explanations for the common empirical observations that females engage in extra-pair copulations, that neighbours dominate as extra-pair sires, and that extra-pair mating correlates with predation mortality and breeding density. The models predict cooperative behaviours at breeding sites where males cooperate more towards public goods than females. Where maternity certainty makes females care for offspring at home, paternity uncertainty and a potential for offspring in several broods make males invest in communal benefits and public goods. The models further predict that benefits of extra-pair mating affect whole nests or neighbourhoods, and that cuckolding males are often cuckolded themselves. Derived from ecological mechanisms, these new perspectives point towards the evolution of sociality in birds, with relevance also for mammals and primates including humans.

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Geographical breakdown

Country Count As %
United Kingdom 5 4%
Brazil 2 2%
South Africa 2 2%
Netherlands 1 <1%
Hungary 1 <1%
Spain 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 111 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Student > Bachelor 21 17%
Student > Master 20 16%
Researcher 19 15%
Professor > Associate Professor 7 6%
Other 16 13%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 62%
Psychology 7 6%
Social Sciences 6 5%
Environmental Science 5 4%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 8 6%
Unknown 17 14%