Why patterns of assortative mating are key to study sexual selection and how to measure them

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• 作者：Grant C. McDonald ; Tommaso Pizzari
• 关键词：Mating system ; Sperm competition ; Sexual selection ; Sexual networks ; Nestedness NODF ; Newman’s assortativity ; SCIC
• 刊名：Behavioral Ecology and Sociobiology
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：70
• 期：1
• 页码：209-220
• 全文大小：2,122 KB
• 参考文献：Alcock J (1994) Postinsemination associations between males and females in insects—the mate-guarding hypothesis. Annu Rev Entomol 39:1–21CrossRef
  Almeida-Neto M, Guimarães P, Guimarães PR, Loyola RD, Ulrich W (2008) A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement. Oikos 117:1227–1239CrossRef
  Alonzo SH, Warner RR (2000) Allocation to mate guarding or increased sperm production in a mediterranean wrasse. Am Nat 156:266–275CrossRef
  Andersson M (1994) Sexual selection. Princeton University Press, Princeton, NJ
  Bascompte J, Jordano P (2007) Plant-animal mutualistic networks: the architecture of biodiversity. Annu Rev Ecol Evol S 38:567–593CrossRef
  Bascompte J, Jordano P, Melián CJ, Olesen JM (2003) The nested assembly of plant–animal mutualistic networks. P Natl Acad Sci USA 100:9383–9387CrossRef
  Bateman AJ (1948) Intra-sexual selection in Drosophila. Heredity 2:349–368PubMed CrossRef
  Birkhead TR, Møller AP (1998) Sperm competition and sexual selection. Academic, London
  Childress D, Hartl DL (1972) Sperm preference in Drosophila melanogaster. Genetics 71:417–427PubMed
  Clutton-Brock TH (1989) Review lecture: mammalian mating systems. Proc R Soc Lond B 236:339–372PubMed CrossRef
  Collet J, Richardson DS, Worley K, Pizzari T (2012) Sexual selection and the differential effect of polyandry. P Natl Acad Sci USA 109:8641–8645CrossRef
  Collet JM, Dean RF, Worley K, Richardson DS, Pizzari T (2014) The measure and significance of Bateman’s principles. Proc R Soc B 281:20132973PubMed PubMedCentral CrossRef
  Croft D, James R, Krause J (2008) Exploring animal social networks. Princeton University Press, Princeton, NJCrossRef
  Darwin C (1871) The descent of man and selection in relation to sex. John Murray, London, UKCrossRef
  Emlen S, Oring L (1977) Ecology, sexual selection and the evolution of mating systems. Science 197:215–223PubMed CrossRef
  Gupta S, Anderson RM, May RM (1989) Networks of sexual contacts: implications for the pattern of spread of HIV. AIDS 3:807–817PubMed CrossRef
  Inghilesi AF, Mazza G, Cervo R, Cini A (2015) A network of sex and competition: the promiscuous mating system of an invasive weevil. Curr Zool 61:85–97
  Jones AG (2009) On the opportunity for sexual selection, the Bateman gradient and the maximum intensity of sexual selection. Evolution 63:1673–1684PubMed CrossRef
  Krause J, James R, Franks D, Croft D (eds) (2014) Animal social networks. Oxford University Press, Oxford, UK
  Kvarnemo C, Simmons LW (2013) Polyandry as a mediator of sexual selection before and after mating. Philos T Roy Soc B 368:1–16CrossRef
  Lande R, Arnold SJ (1983) The measurement of selection on correlated characters. Evolution 37:1210–1226CrossRef
  Liljeros F, Edling CR, Amaral LAN, Stanley HE, Årberg Y (2001) The web of human sexual contacts. Nature 411:907–908PubMed CrossRef
  McDonald GC, Pizzari T (2014) Mating behaviour: sexual networks and sexual selection. In: Krause J, Croft D, Franks D, James D (eds) Animal social networks: perspectives and challenges. Oxford University Press, Oxford, pp 24–37CrossRef
  McDonald GC, James R, Krause J, Pizzari T (2013) Sexual networks: measuring sexual selection in structured, polyandrous populations. Philos T Roy Soc B 368:1–10CrossRef
  Muniz DG, Guimarães PR, Buzatto BA, Machado G (2015) A sexual network approach to sperm competition in a species with alternative mating tactics. Behav Ecol 26:121–129CrossRef
  Newman MEJ (2002) Assortative mixing in networks. Phys Rev Lett 89:208701PubMed CrossRef
  Newman MEJ (2003) Mixing patterns in networks. Phys Rev E 67:026126CrossRef
  Parker GA (1970) Sperm competition and its evolutionary consequences in insects. Biol Rev 45:525–567CrossRef
  Parker GA (1998) Sperm competition and the evolution of ejaculates: towards a theory base. In: Birkhead TR, Møller AP (eds) Sperm competition and sexual selection. Academic, London, pp 3–54CrossRef
  Parker GA, Birkhead TR (2013) Polyandry: the history of a revolution. Philos T Roy Soc B 368:1–13CrossRef
  Parker GA, Pizzari T (2010) Sperm competition and ejaculate economics. Biol Rev 85:897–934PubMed CrossRef
  Parker GA, Pizzari T (2015) Sexual selection: the logical imperative. In: Hoquet T (ed) Current perspectives on sexual selection. Springer, Netherlands, pp 119–163
  Pélissié B, Jarne P, Sarda V, David P (2014) Disentangling precopulatory and postcopulatory sexual selection in polyandrous species. Evolution 68:1320–1331PubMed CrossRef
  Pizzari T, Wedell N (2013) The polyandry revolution. Philos T Roy Soc B 368:20120041CrossRef
  Preston BT, Stevenson IR, Pemberton JM, Coltman WD, Wilson K (2005) Male mate choice influences female promiscuity in Soay sheep. Proc R Soc Lond B 272:365–373CrossRef
  R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, https://​www.​r-project.​org/​
  Rodríguez-Muñoz R, Bretman A, Slate J, Walling CA, Tregenza T (2010) Natural and sexual selection in a wild insect population. Science 328:1269–1272PubMed CrossRef
  Shuster SM (2009) Sexual selection and mating systems. P Natl Acad Sci USA 106:10009–10016CrossRef
  Shuster SM, Wade MJ (2003) Mating systems and strategies. Princeton University Press, Princeton, NJ
  Sih A, Hanser SF, McHugh KA (2009) Social network theory: new insights and issues for behavioral ecologists. Behav Ecol Sociobiol 63:975–988CrossRef
  Simmons LW (2001) Sperm competition and its evolutionary consequences in the insects. Princeton University Press, NJ
  Strona G, Fattorini S (2014) On the methods to assess significance in nestedness analyses. Theor Biosci 133:179–186CrossRef
  Taylor ML, Price TAR, Wedell N (2014) Polyandry in nature: a global analysis. Trends Ecol Evol 29:376–383PubMed CrossRef
  Thornhill R (1983) Cryptic female choice and its implications in the scorpionfly. Am Nat 122:765–788CrossRef
  Thornhill R, Alcock J (1983) The evolution of insect mating systems. Harvard University Press, Cambridge, MACrossRef
  Ulrich W, Almeida-Neto M (2012) On the meanings of nestedness: back to the basics. Ecography 35:865–871CrossRef
  Ulrich W, Gotelli NJ (2007) Null model analysis of species nestedness patterns. Ecology 88:1824–1831PubMed CrossRef
  Ulrich W, Almeida-Neto M, Gotelli NJ (2009) A consumer’s guide to nestedness analysis. Oikos 118:3–17CrossRef
  Wade MJ, Shuster SM (2005) Don’t throw Bateman out with the bathwater! Integr Comp Biol 45:945–951PubMed CrossRef
  Warner RR, Shapiro DY, Marcanato A, Petersen CW (1995) Sexual conflict: males with highest mating success convey the lowest fertilization benefits to females. Proc R Soc Lond B 262:135–139CrossRef
  Webster MS, Pruett-Jones S, Westneat DF, Arnold SJ (1995) Measuring the effects of pairing success, extra-pair copulations and mate quality on the opportunity for sexual selection. Evolution 49:1147–1157CrossRef
  Wedell N, Gage MJG, Parker GA (2002) Sperm competition, male prudence and sperm-limited females. Trends Ecol Evol 17:313–320CrossRef
  Wey T, Blumstein DT, Shen W, Jordán F (2008) Social network analysis of animal behaviour: a promising tool for the study of sociality. Anim Behav 75:333–344CrossRef
  Wolf J, Brodie E, Moore A (1999) Interacting phenotypes and the evolutionary process. II. Selection resulting from social interactions. Am Nat 153:254–266CrossRef
  
• 作者单位：Grant C. McDonald (1)
  Tommaso Pizzari (1)
  
  1. Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, OX1 3PS, UK
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Behavioural Sciences
  Zoology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-0762

文摘

The study of sexual selection is being revolutionised by the realisation that most populations exhibit some degree of polyandry, i.e. females mating with multiple males. Polyandry can drastically change the operation of sexual selection on males as it reduces the reproductive success that males derive by mating with different females, by forcing their ejaculates to compete for fertilisation after copulation (sperm competition). Variation in polyandry within a population means that the impact of polyandry can differ drastically across males, depending on the polyandry of their own mating partners. Because the patterns through which males share mates within a population may have strong repercussions for variation in male reproductive success, measuring such patterns is critical to study the operation of sexual selection. Several methods have been proposed to measure the pattern of mate sharing at the population level. Here, we develop a new method (sperm competition intensity correlation, SCIC) and compare its performance against two established methods (Newman’s assortativity and nestedness), using both idealised model populations and random simulated populations, across a range of biologically relevant population parameters: (i) population size, (ii) sex ratio and (iii) the ‘mating density’ of the population. We conclude that SCIC may be the most promising approach, as it is both internally consistent and robust across the parameter range. We discuss some important caveats and provide advice regarding the choice of method for future studies of sexual selection. Keywords Mating system Sperm competition Sexual selection Sexual networks Nestedness NODF Newman’s assortativity SCIC