Figures
Abstract
Mating system variation refers to the spectrum between genetic monogamy and polyandry, and has important consequences for sexual conflict, sexual selection and individual fitness in animals. Theoretically this variation could also have substantial population-level effects, influencing population viability and extinction risk. Evidence for these effects is mixed, in part due to the fact that substantial environmental change is thought to be required for them to have visible demographic consequences. In this study we test for the presence of relationships between polyandry and population status in Elasmobranchii (sharks and rays). Elasmobranchii is a large vertebrate clade that exhibits substantial interspecific variation in both genetic mating system and population status, as well as being subject to intense anthropogenically-mediated environmental change. We also predict past macroevolutionary shifts in genetic mating system through elasmobranch phylogeny. Our results show that both genetic monogamy and polyandry have evolved multiple times independently within Elasmobranchii, and we suggest that both of these extremes represent alternative adaptive strategies that are favoured under discrete ecological and biological conditions. Nevertheless, there is no evidence of population-level consequences of mating system variation in elasmobranchs. These results are significant as they suggest that mating system variation in this clade is unlikely to be a major determinant of extinction vulnerability. Ultimately additional work will be required, however this study improves our understanding of the evolutionary dynamics underlying mating system variation in elasmobranchs, and the potential for resultant population-level consequences.
Citation: Gayford JH, Flores-Flores EM (2024) No evidence for population-level benefits of polyandry in sharks and rays. PLoS ONE 19(9): e0308141. https://doi.org/10.1371/journal.pone.0308141
Editor: Stefan Schlatt, University Hospital of Münster, GERMANY
Received: March 1, 2024; Accepted: July 17, 2024; Published: September 4, 2024
Copyright: © 2024 Gayford, Flores-Flores. 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.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
A wide spectrum of genetic mating systems is observed in the sexually reproducing organisms, ranging from strict genetic monogamy (where only one male contributes genetic material to a brood) to widespread polyandry [1–3]. Polyandry refers to the scenario in which multiple males contribute genetic material to a brood and is observed to varying extents in most major vertebrate radiations [2, 4–6]. Whilst the genetic mating systems of diverse taxa have been studied in detail, there remains substantial controversy regarding both the causes and consequences of variation in vertebrate mating systems [7–9]. The elevated fitness cost of sexual reproduction for females, resulting from increased sexual conflict and selection for reduced male care is broadly accepted (reviewed in [10]). However, increasingly studies suggest that polyandry may convey direct or indirect fitness benefits to females, and the conditions under which polyandry should incur net fitness costs or benefits to females remain poorly understood [10, 11]. Hypothesised benefits of polyandry to females include reduced risk of genetic incompatibility from selfish genetic elements, increased fecundity, increased offspring genetic variation (and hence resilience to environmental change) and increased offspring viability [11].
The hypothesised consequences of monogamy and polyandry extend beyond individual fitness to population viability and extinction risk [10]. This is because polyandry results in greater sexual conflict between males and females [10, 11]. Under different conditions this elevated sexual conflict can either weaken or enhance sexual selection, with consequences for mutation load, the rate of adaptive evolution and the balance between natural selection and genetic drift, all of which are important determinants of extinction risk [10]. Consequently, there may be no universally superior genetic mating system, with polyandry and monogamy potentiall representing alternative adaptive strategies that are beneficial in different ecological contexts [12–14]. Presently, demographic consequences of mating system variation have been difficult to study as their detection requires some degree of environmental change that has a strong effect on birth and deaths rates within the population in question [10]. Consequently, improving our understanding of genetic mating system variation is not only of great eco-evolutionary interest, but provides material benefit from a conservation and management perspective.
Elasmobranchii (sharks and rays) is a large, ancient vertebrate radiation renowned for its high diversity of reproductive modes [15, 16]. Whilst most vertebrate clades exhibit either oviparity or placental viviparity, both of these strategies are abundant within Elasmobranchii, as well as various other forms of viviparity including histrotrophy and yolk-based viviparity [15, 17]. This diversity of reproductive modes has important consequences for sexual selection and sexual conflict, which in elasmobranchs can manifest as phenomena such as oophagy, coercive mating and intrauterine cannibalism [18–20]. Both genetic monogamy and polyandry have been reported in a number of elasmobranch taxa [21, 22], stimulating debate as to the underlying evolutionary mechanisms [21, 22]. Convenience polyandry (where the costs of resistance for females outweigh the costs of mating) is often assumed to underlie polyandry in this clade [22], whereas recent studies suggest that additional factors such as female choice and male-male competition are important [21]. However, to date only two studies have investigated polyandry in elasmobranchs in an evolutionary context [4, 23], modelling mating system variation as a single binary trait (multiple paternity or monogomy) which doesn’t represent the full extent of variation observed in nature. Moreover, the potential population-level consequences of mating system variation in elasmobranchs remains entirely unstudied, which is notable given the concerning conservation status of many shark and ray species [24, 25].
In this study, we utilise data drawn from the literature to investigate the evolutionary history of polyandry in elasmobranchs, and test for signals of potential population-level consequences of mating system variation in a phylogenetic context. Elasmobranchii represents an ideal case study in this context given the extent of variation in mating systems that is observed in extant taxa (representing a spectrum between strict genetic monogamy and polyandry). Thus our results will not only provide additional context regarding the origins, causes and consequences of polyandry and genetic monogamy in sharks and rays, but improve our understanding of mating system variation more broadly. This context is of critical importance given the uncertainty regarding relationships between genetic mating system and extinction risk, and the impending anthropogenic extinction crisis.
Methodology
Ethics statement
No experimental work of any kind, working with either live or dead animals was carried out during this study, and consequently no ethics approval was required.
Data collection
We collected data regarding polyandry (the frequency of multiple paternity, henceforth MP frequency) from existing literature, resulting in a dataset of 40 species (Table 1). MP frequency was defined as the percentage of litters fathered by more than one sire [2]. Incorporating a quantitative value of MP is hugely beneficial, particularly in evolutionary analyses, as it allows for species that exhibit intermediate mating systems and is less sensitive to error resulting from low sample sizes.
Where multiple studies have investigated polyandry in a single species (e.g. Mustelus henlei), MP frequency was averaged and weighted by sample size to provide a single measure per taxon. It is important to recognise that MP values could differ substantially between different populations of the same species, and thus averaged values may not be representative of the true genetic mating system of a given population. However in light of the available data, and the fact that our chosen proxies for extinction risk are also averaged across populations, we assert that this approach is suitable for making interspecific comparisons.
Quantifying individual evolutionary fitness or lifetime reproductive success in elasmobranchs (let alone averaging across populations) is notoriously challenging due to their size, life history parameters and ecology [26, 27]. For this reason, we collated readily available ecological/biological data that could serve as proxies for the average population status of elasmobranch species. Specifically we collected the following information: minimum and maximum litter size (Sharks of the World: a Complete Guide [28]), conservation status (IUCN [29]), ‘lifetime reproductive output’ [21], generation time (FishBase [30]), average fecundity (FishBase [30]), vulnerability to fishing (FishBase [30]), vulnerability to climate (FishBase [30]). If polyandry does indeed convey significant population-level benefits in elasmobranchs, we might (see discussion for caveats) expect these parameters to vary systematically with MP frequency. All data can be found in the supplementary materials associated with this article.
Phylogenetic data (a set of 10,000 phylogenies including branch lengths and interrelationships) were extracted from Stein et al. [25], and a pruned, maximum clade credibility (MCC) phylogeny was produced to match our dataset using the packages picante and phangorn [38, 39].
Data analysis
All data analysis was carried out in R4.0.4 [40]. Prior to data analysis all quantitative variables were scaled.
To provide insight into the evolutionary dynamics underlying interspecific variation in MP frequency, we fit 3 evolutionary models to our data using the default parameters of the function fitContinuous in the package geiger [41]. Each of these models assumed a different model of trait evolution (Brownian motion, Ornstein Uhlenbeck and Early burst), and the model of best fit was selected on the basis of AIC values, where ΔAIC>2 indicates significant model support.
To test for potential population-level benefits of polyandry, we fit a series of phylogenetic generalised linear models using the package phylolm [42], with MP frequency as the predictor variable. These models can incorporate both continuous and discrete variables, and account for phylogenetic non-independence between the data [42]. Each model included one potential covariate, and assumed the model of trait evolution best supported by the previous analysis (see results for details). Importantly not all covariate data could be collected for all species, and thus each of these models differs in sample size and cannot be directly compared on the basis of AIC values.
Finally, to estimate evolutionary shifts in MP frequency through elasmobranch phylogeny, we performed ancestral state reconstruction of MP frequency using the package phytools [43].
Results
Comparison of Brownian motion (BM), Ornstein Uhlenbeck (OU) and Early burst (EB) models of trait evolution revealed that the phylogenetic distribution of MP frequency values is best explained by an OU model (Table 2). The EB model was the worst-performing of the three models (Table 2).
None of the nine phylogenetic linear models fitted produced evidence of significant correlation between MP frequency and biological/ecological proxies of population status (Table 3).
Note that AIC values should not be used to compare directly between these models as they differ in sample size.
Ancestral state reconstruction of MP frequency suggests that basal elasmobranchs displayed intermediate levels of genetic polyandry (MP frequency at ancestral node was 59.6%), although support for this result was extremely weak and the confidence interval overlapped both 0 and 100. This dataset is likely of insufficient size to provide a robust estimate of the ancestral state. Nevertheless, this analysis did provide valuable insight into subsequent evolutionary shifts in polyandry, suggesting that both extremely high and low MP frequency values have evolved multiple times independently (Fig 1). There appear to be at least six independent transitions from polyandry to genetic monogamy, and even more cases of high MP frequency evolving from ancestrally intermediate MP frequency values (Fig 1).
Red coloration represents genetic monogamy (low values of MP frequency), blue coloration represents polyandry (high MP frequency values) and green coloration represents intermediate MP frequency values.
Discussion
Population-level consequences of polyandry
Despite numerous predicted consequences for population fitness, we found no association between the extent of polyandry (MP frequency) and various measures of population status (Table 3). Assuming a positive relationship between polyandry and the strength of sexual selection (a link that is still somewhat controversial), polyandry could prove beneficial either by increasing genetic variation or by reducing the reproductive success of ‘inferior’ males, thus purging less favourable mutations from the population over time [10, 44, 45]. Moreover, if sexual selection happens to favour similar trait optima to natural selection, polyandry could enhance the rate of adaptive evolution [10]. However, the potential for sexual selection to oppose rather than enhance natural selection is well known [46, 47], and thus depending on the adaptive landscape of the male and female traits in question, polyandry could either increase or retard the pace of adaptation. Whilst there is some empirical evidence for population-level consequences of polyandry, most of these putative links do not have visible demographic consequences, as to have noticeable impact on genetic diversity or population size they require birth/death rates to be modified by environmental change [10, 48, 49].
This should provide no barrier to the detection of population level consequences of polyandry in elasmobranchs however–most of the species included in this study are subject to intense anthropogenic fishing pressure [24, 50], a relatively new selective pressure evolutionarily speaking that would undoubtedly provide the environmental change necessary to detect demographic effects. Even so, we failed to find any evidence of population-level consequences of genetic mating system variation (Table 3). Assuming the data used in this study are sufficient to detect hypothetical population-level consequences (see below for caveats associated with this), this leaves two potential explanations: either mating system variation in elasmobranchs genuinely has no noticeable effect on population status or extinction risk, or there appears to be no noticeable effect due to costs and benefits of polyandry that are approximately equal in magnitude. The first of these scenarios is unlikely–there is evidence to suggest that genetic monogamy in sharks may reduce genetic variation and effective population sizes [22, 51, 52], and negative fitness consequences of unwanted mating attempts have been documented in multiple species [20, 53, 54]. Reduced genetic variation is likely of great significance to elasmobranch taxa, which exhibit slower rates of molecular evolution than other vertebrates [55, 56]. Thus, we suggest that mongogamy/polyandry in sharks may not exhibit population-level consequences as both endpoints of the mating system spectrum convey costs and benefits that are broadly equivalent in terms of their impacts on extinction risk.
The evolution of mating system variation in elasmobranchs
Whilst we did not directly test any of the hypothesised adaptive explanations for mating system variation in elasmobranchs, our results do provide insight into the evolutionary dynamics underlying macroevolutionary shifts in MP frequency. Only one previous study has investigated polyandry in elasmobranchs in a phylogenetic context, finding that polyandry was likely ancestral to the clade [4]. Whilst this was an important initial step, the approach taken by Lamarca et al. [4] was limited by the use of a binary trait to describe the presence or absence of polyandry. This clearly represents an oversimplification of the true diversity of genetic mating systems observed in elasmobranchs, as evidenced by the variation in MP frequency in extant species (Table 1). Instead using MP frequency (a continuous variable, more representative of variation in genetic mating systems) we did not find statistically robust evidence for polyandry representing the ancestral state in elasmobranchs. This does not imply that genetic monogamy was the ancestral state, but simply that existing data are insufficient to provide robust estimation of the ancestral genetic mating system in elasmobranchs. Despite this uncertainty, there is clear evidence that both very high (>80%) and very low (<20%) levels of polyandry have evolved multiple times independently (Fig 1). This leads us to suggest that both genetic monogamy and polyandry represents alternative adaptive mating systems in Elasmobranchii (as previously suggested for other clades, see [14], each of which may be favoured under different biological and ecological conditions. Our finding that the phylogenetic distribution of MP frequency is best explained by an Ornstein-Uhlenbeck model of trait evolution (Table 2) provides further support for this, implying that MP frequency in elasmobranchs is evolving towards at least one adaptive peak [57]. As for what selective pressures could be underlying these adaptive peaks, further work is needed, as consensus is yet to be reached regarding the adaptive basis of either genetic monogamy or polyandry in elasmobranchs [4, 21, 22].
Limitations
We recognise that there are several fundamental limitations underlying the analyses presented in this study, and our understanding of mating system variation in elasmobranchs more broadly. The need for increased taxonomic coverage of mating system studies in elasmobranchs is clear, with several major clades entirely data deficient [4] and the potential for alternative mating strategies such as polygyny entirely overlooked. This paucity of data not only restricts our understanding of the mating system variation in extant species, but reduces the robustness of comparative phylogenetic analyses such as ancestral state reconstruction. Most pertinent to the topic of this study, we are unable to categorically rule out the possibility of population-level consequences of polyandry or monogamy despite finding no evidence of such consequences (Table 3). We incorporated only one set of data per species, when in reality there is substantial regional variation in both reproductive biology and population status in many elasmobranch species [29, 58, 59]. Furthermore, differences in average population status between species are driven by a number of additional factors including life history traits and applied fishing pressure [60, 61], meaning that even if relationships between mating system and extinction risk existed, they may be cryptic and difficult to detect. Nonetheless, we find that on the basis of current data there is no substantial evidence for such relationships (Table 3). Thus, even if cryptic relationships between mating system and population status do exist, they are unlikely to be significant determinants of extinction vulnerability in extant elasmobranch species.
Conclusions
Polyandry and monogamy clearly both have important consequences for individual fitness, in the case of both males and females [7, 62]. Despite theoretical predictions, it remains unclear whether mating system variation has substantial population-level effects however [10]. In Elasmobranchii, a large vertebrate radiation exhibiting substantial variation in genetic mating system, there is no evidence for such effects (Table 3). Both genetic monogamy and polyandry have evolved multiple times independently from an ancestor of unknown mating system, and there is evidence that the variation observed in extant elasmobranch species is adaptive (Fig 1 and Table 2). Nevertheless, the specific conditions under which genetic monogamy and polyandry are favoured remain uncertain and may be taxon specific.
Supporting information
S1 Table. Data underlying the analyses and results of this article.
https://doi.org/10.1371/journal.pone.0308141.s001
(CSV)
References
- 1. Avise JC, Jones AG, Walker D, DeWoody JA, collaborators4. Genetic mating systems and reproductive natural histories of fishes: lessons for ecology and evolution. Annu Rev Genet. 2002 Dec;36(1):19–45.
- 2. Coleman SW, Jones AG. Patterns of multiple paternity and maternity in fishes. Biol J Linn Soc Lond. 2011 Aug 1;103(4):735–60.
- 3. Emlen ST, Oring LW. Ecology, sexual selection, and the evolution of mating systems. Science. 1977 Jul 15;197(4300):215–23. pmid:327542
- 4. Lamarca F, Carvalho PH, Vilasboa A, Netto-Ferreira AL, Vianna M. Is multiple paternity in elasmobranchs a plesiomorphic characteristic?. Environ. Biol. Fishes. 2020 Dec;103(12):1463–70.
- 5. Lemaitre JF, Gaillard JM. Polyandry has no detectable mortality cost in female mammals. PLoS One. 2013 Jun 18;8(6):e66670. pmid:23825000
- 6. Jenni DA. Evolution of polyandry in birds. Am. Zool. 1974 Feb 1;14(1):129–44.
- 7. Fedorka KM, Mousseau TA. Material and genetic benefits of female multiple mating and polyandry. Anim. Behav. 2002 Sep 1;64(3):361–7.
- 8. Simmons LW. The evolution of polyandry: sperm competition, sperm selection, and offspring viability. Annu. Rev. Ecol. Evol. Syst. 2005 Dec 15;36:125–46.
- 9. Zeh JA, Zeh DW. Reproductive mode and the genetic benefits of polyandry. Anim. Behav. 2001 Jun 1;61(6):1051–63.
- 10. Holman L, Kokko H. The consequences of polyandry for population viability, extinction risk and conservation. Philos Trans R Soc Lond B Biol Sci. 2013 Mar 5;368(1613):20120053. pmid:23339244
- 11. Simmons LW. The evolution of polyandry: an examination of the genetic incompatibility and good‐sperm hypotheses. J Evol Biol. 2001 Jul 15;14(4):585–94.
- 12. Karl S.A., 2008. The effect of multiple paternity on the genetically effective size of a population. Molecular Ecology, 17(18), pp.3973–3977. pmid:19238700
- 13. Lotterhos K.E., 2011. The context‐dependent effect of multiple paternity on effective population size. Evolution, 65(6), pp.1693–1706. pmid:21644957
- 14. Stephens P.A. and Sutherland W.J., 2000. Vertebrate mating systems, Allee effects and conservation. In Vertebrate mating systems (pp. 186–213).
- 15. Katona G, Szabó F, Végvári Z, Székely T Jr, Liker A, Freckleton RP, et al. Evolution of reproductive modes in sharks and rays. J Evol Biol. 2023 Nov 1;36(11):1630–40. pmid:37885147
- 16. Weigmann S. Annotated checklist of the living sharks, batoids and chimaeras (Chondrichthyes) of the world, with a focus on biogeographical diversity. J Fish Biol. 2016 Mar;88(3):837–1037. pmid:26860638
- 17. Conrath CL, Musick JA. Reproductive biology of elasmobranchs. Biology of sharks and their relatives. 2012 Apr 9;2:291–311.
- 18. Gilmore RG, Dodrill JW. Oophagy, intrauterine cannibalism and reproductive strategy in lamnoid sharks. Reproductive biology and phylogeny of chondrichthyes: sharks, batoids and chimaeras. 2005;3:435–62.
- 19. Miller E, Wails CN, Sulikowski J. It’s a shark-eat-shark world, but does that make for bigger pups? A comparison between oophagous and non-oophagous viviparous sharks. Rev. Fish Biol. Fish. 2022 Dec;32(4):1019–33.
- 20. Whitehead DA, Gayford JH, Hoyos EM, Shorter NM, Galván-Magaña F, Ketchum JT. First description of a sex segregated aggregation of silky sharks (Carcharhinus falciformis) and the frequency and distribution of mating wounds off the tip of the Baja California Peninsula. Environ. Biol. Fishes. 2022 Jul;105(7):953–60.
- 21. Lyons K, Kacev D, Mull CG. An inconvenient tooth: Evaluating female choice in multiple paternity using an evolutionarily and ecologically important vertebrate clade. Mol Ecol. 2021 Apr;30(7):1574–93. pmid:33586211
- 22. DiBattista JD, Feldheim KA, Gruber SH, Hendry AP. Are indirect genetic benefits associated with polyandry? Testing predictions in a natural population of lemon sharks. Mol Ecol. 2008 Feb;17(3):783–95. pmid:18194167
- 23. Lamarca F., Carvalho P.H. and Netto-Ferreira A.L., 2024. The loss of female sperm storage ability as a potential driver for increased extinction in Chondrichthyes. Evolutionary Ecology, pp.1–19.
- 24. Dulvy NK, Pacoureau N, Rigby CL, Pollom RA, Jabado RW, Ebert DA, et al. Overfishing drives over one-third of all sharks and rays toward a global extinction crisis. Curr Biol. 2021 Nov 8;31(21):4773–87. pmid:34492229
- 25. Stein RW, Mull CG, Kuhn TS, Aschliman NC, Davidson LN, Joy JB, et al. Global priorities for conserving the evolutionary history of sharks, rays and chimaeras. Nat Ecol Evol. 2018 Feb;2(2):288–98. pmid:29348644
- 26. Dibattista JD, Feldheim KA, Gruber SH, Hendry AP. When bigger is not better: selection against large size, high condition and fast growth in juvenile lemon sharks. J Evol Biol. 2007 Jan;20(1):201–12. pmid:17210013
- 27. Gayford JH. The genetics‐morphology‐behavior trifecta: Unraveling the single greatest limitation affecting our understanding of chondrichthyan evolution. Ecol Evol. 2023 Jun;13(6):e10204. pmid:37332516
- 28.
Ebert DA, Dando M, Fowler S. Sharks of the world: a complete guide. Princeton University Press; 2021 Jul 20.
- 29.
IUCN. 2023. The IUCN Red List of Threatened Species. Version 2023–1. https://www.iucnredlist.org. Accessed on [10/02/2024].
- 30. Froese R, Pauly D, editors. (2011) FishBase. www.fishbase.org: World Wide Web electronic publication.
- 31. Torres Y, Charvet P, Faria VV, de Castro AL. Evidence of multiple paternity for the endemic Xingu River stingray. J Fish Biol. 2022 May;100(5):1315–8. pmid:35292972
- 32. Nevatte RJ, Williamson JE, Gillings MR. First evidence of multiple paternity and hybridisation in Australian sawsharks. Mar. Freshw. Res. 2023 Apr 19;74(7):586–600.
- 33. Nash CS, Darby PC, Frazier BS, Hendon JM, Higgs JM, Hoffmayer ER, et al. Multiple paternity in two populations of finetooth sharks (Carcharhinus isodon) with varying reproductive periodicity. Ecol Evol. 2021 Sep;11(17):11799–807. pmid:34522342
- 34. Armada‐Tapia S, Castillo‐Geniz JL, Victoria‐Cota N, Arce‐Valdés LR, Enríquez‐Paredes LM. First evidence of multiple paternity in the blue shark (Prionace glauca). J Fish Biol. 2023 Feb;102(2):528–31. pmid:36401786
- 35. Rendón‐Herrera JJ, Pérez‐Jiménez JC, Saavedra‐Sotelo NC. Regional variation in multiple paternity in the brown smooth‐hound shark Mustelus henlei from the northeastern Pacific. J Fish Biol. 2022 Jun;100(6):1399–406. pmid:35349175
- 36. Tárula-Marín AO, Saavedra-Sotelo NC. First record of the mating system in the grey smoothhound shark (Mustelus californicus). Mar. Biol. Res‥ 2021 Apr 21;17(4):362–8.
- 37. Liu SY, Tsai WP, Lee M, Chien HW. Accessing multiple paternity in the shortfin mako shark (Isurus oxyrinchus). J. Zool. Res. 2020;59. pmid:33335597
- 38. Kembel SW, Cowan PD, Helmus MR, Cornwell WK, Morlon H, Ackerly DD, et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics. 2010 Jun 1;26(11):1463–4. pmid:20395285
- 39. Schliep K.P., 2011. phangorn: phylogenetic analysis in R. Bioinformatics, 27(4), pp.592–593. pmid:21169378
- 40. R Core Team R., 2023. R: A language and environment for statistical computing.
- 41. Harmon LJ, Weir JT, Brock CD, Glor RE, Challenger W. GEIGER: investigating evolutionary radiations. Bioinformatics. 2008 Jan 1;24(1):129–31. pmid:18006550
- 42. Ho LS, Ane C, Lachlan R, Tarpinian K, Feldman R, Yu Q, et al. Package ‘phylolm’. See http://cran.r-project.org/web/packages/phylolm/index.html (accessed February 2018). 2016 Oct 16.
- 43. Revell LJ. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 2012 Apr(2):217–23.
- 44. Siller S. Sexual selection and the maintenance of sex. Nature. 2001 Jun 7;411(6838):689–92. pmid:11395770
- 45. Whitlock MC, Agrawal AF. Purging the genome with sexual selection: reducing mutation load through selection on males. Evolution. 2009 Mar 1;63(3):569–82. pmid:19154364
- 46. Candolin U, Heuschele J. Is sexual selection beneficial during adaptation to environmental change?. Trends. Ecol. Evol. 2008 Aug 1;23(8):446–52. pmid:18582989
- 47. Servedio MR, Boughman JW. The role of sexual selection in local adaptation and speciation. Annu Rev Ecol Evol Syst. 2017 Nov 2;48:85–109.
- 48. Doherty PF Jr, Sorci G, Royle JA, Hines JE, Nichols JD, Boulinier T. Sexual selection affects local extinction and turnover in bird communities. Proc Natl Acad Sci USA. 2003 May 13;100(10):5858–62. pmid:12682284
- 49. Morrow EH, Pitcher TE. Sexual selection and the risk of extinction in birds. Philos Trans R Soc Lond B Biol Sci. 2003 Sep 7;270(1526):1793–9. pmid:12964981
- 50. Stevens JD, Bonfil R, Dulvy NK, Walker PA. The effects of fishing on sharks, rays, and chimaeras (chondrichthyans), and the implications for marine ecosystems. ICES J. Mar. Sci. 2000 Jun 1;57(3):476–94.
- 51. Chapman DD, Prodöhl PA, Gelsleichter J, Manire CA, Shivji MS. Predominance of genetic monogamy by females in a hammerhead shark, Sphyrna tiburo: implications for shark conservation. Mol Ecol. 2004 Jul;13(7):1965–74. pmid:15189217
- 52. Holmes BJ, Pope LC, Williams SM, Tibbetts IR, Bennett MB, Ovenden JR. Lack of multiple paternity in the oceanodromous tiger shark (Galeocerdo cuvier). R.Soc. Open Sci. 2018 Jan 17;5(1):171385. pmid:29410842
- 53. Rangel BS, Afonso AS, Bettcher V, Bucair N, Andres N, Veras LB, et al. Evidence of mating scars in female tiger sharks (Galeocerdo cuvier) at the Fernando de Noronha Archipelago, Brazilian Equatorial Atlantic. Environ. Biol. Fishes. 2023 Jan;106(1):107–15.
- 54. Ritter EK, Amin RW. Mating scars among sharks: evidence of coercive mating? Acta Ethol. 2019 Feb 15;22:9–16.
- 55. Martin AP, Naylor GJ, Palumbi SR. Rates of mitochondrial DNA evolution in sharks are slow compared with mammals. Nature. 1992 May 14;357(6374):153–5. pmid:1579163
- 56. Sendell-Price AT, Tulenko FJ, Pettersson M, Kang D, Montandon M, Winkler S, et al. Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks. Nat. Commun. 2023 Oct 19;14(1):6628. pmid:37857613
- 57. Cressler CE, Butler MA, King AA. Detecting adaptive evolution in phylogenetic comparative analysis using the Ornstein–Uhlenbeck model. Syst Biol. 2015 Nov 1;64(6):953–68. pmid:26115662
- 58. Farrell ED, Mariani S, Clarke MW. Reproductive biology of the starry smooth‐hound shark Mustelus asterias: geographic variation and implications for sustainable exploitation. J Fish Biol. 2010 Nov;77(7):1505–25. pmid:21078015
- 59. Taylor SM, Harry AV, Bennett MB. Living on the edge: latitudinal variations in the reproductive biology of two coastal species of sharks. J Fish Biol. 2016 Nov;89(5):2399–418. pmid:27633581
- 60. Dulvy NK, Fowler SL, Musick JA, Cavanagh RD, Kyne PM, Harrison LR, et al. Extinction risk and conservation of the world’s sharks and rays. elife. 2014 Jan 21;3:e00590. pmid:24448405
- 61. García VB, Lucifora LO, Myers RA. The importance of habitat and life history to extinction risk in sharks, skates, rays and chimaeras. Philos Trans R Soc Lond B Biol Sci. 2008 Jan 7;275(1630):83–9. pmid:17956843
- 62. Kvarnemo C. Why do some animals mate with one partner rather than many? A review of causes and consequences of monogamy. Biol. Rev‥ 2018 Nov;93(4):1795–812. pmid:29687607