Models of Speciation by Sexual Selection on Polygenic Traits
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Biol B242 - Coevolution
BIOL B242 - COEVOLUTION http://www.ucl.ac.uk/~ucbhdjm/courses/b242/Coevol/Coevol.html BIOL B242 - COEVOLUTION So far ... In this course we have mainly discussed evolution within species, and evolution leading to speciation. Evolution by natural selection is caused by the interaction of populations/species with their environments. Today ... However, the environment of a species is always partly biotic. This brings up the possiblity that the "environment" itself may be evolving. Two or more species may in fact coevolve. And coevolution gives rise to some of the most interesting phenomena in nature. What is coevolution? At its most basic, coevolution is defined as evolution in two or more evolutionary entities brought about by reciprocal selective effects between the entities. The term was invented by Paul Ehrlich and Peter Raven in 1964 in a famous article: "Butterflies and plants: a study in coevolution", in which they showed how genera and families of butterflies depended for food on particular phylogenetic groupings of plants. We have already discussed some coevolutionary phenomena: For example, sex and recombination may have evolved because of a coevolutionary arms race between organisms and their parasites; the rate of evolution, and the likelihood of producing resistance to infection (in the hosts) and virulence (in the parasites) is enhanced by sex. We have also discussed sexual selection as a coevolutionary phenomenon between female choice and male secondary sexual traits. In this case, the coevolution is within a single species, but it is a kind of coevolution nonetheless. One of our problem sets involved frequency dependent selection between two types of players in an evolutionary "game". -
Mating Preferences Might Evolve by Natural Selection. If Mating Mate
A GENERAL MODEL OF SEXUAL AND NATURAL SELECTION P. O'DONALD Department of Zoology, University College of North Wales, bangor Received28.xii.66 1.INTRODUCTION FISHERin The Genetical Theory of JVatural Selection (1930) described how mating preferences might evolve by natural selection. If mating behaviour varies among different genotypes, some individuals may have an hereditary disposition to mate with others having particular characteristics. Usually of course it is the females who choose the males and their choice is determined by the likelihood that the males' display will release their mating responses. If some females prefer to mate with those males that have characteristics advantageous in natural selection, then the genotypes that determine such matings will also be selected: the offspring will carry both the advantageous geno- types and the genotypes of the mating preference. Once the mating preference is established, it will itself add to the selective advantage of the preferred genotypes: a "runaway process" as Fisher called it develops. In a paper in Heredity (1963) I described a mathematical model of this type of selection. In the simplest case two loci must be involved: one locus determines the preferred character and the other the mating preference. If there are only two alleles segregating at each locus, ten different genotypes can occur if the loci are linked and nine if they are not. If they are sex-linked, there are i possible genotypes. I derived finite difference equations giving the frequencies of the genotypes in terms of parameters describing the degree of dominance of the preferred genotypes and the recombination fractions of the loci. -
Extinction Dynamics of Age-Structured Populations in A
Proc. Nadl. Acad. Sci. USA Vol. 85, pp. 7418-7421, October 1988 Population Biology Extinction dynamics of age-structured populations in a fluctuating environment (demography/ecology/life history/stochastic model/diffusion process) RUSSELL LANDE AND STEVEN HECHT ORZACK Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637 Communicated by David M. Raup, June 3, 1988 (received for review February 2, 1988) ABSTRACT We model density-independent growth of an a recursion formula for the numbers of individuals in each age- (or stage-) structured population, assuming that mortality age class or developmental stage at time t + 1 in terms of and reproductive rates fluctuate as stationary time series. An- those at the previous time t, alytical formulas are derived for the distribution of time to extinction and the cumulative probability of extinction before n(t + 1) = A(t)n(t), [1] a certain time, which are determined by the initial age distri- bution, and by the infinitesimal mean and variance, # and a2, where n(t) is a column vector with entries representing the of a diffusion approximation for the logarithm of total popula- numbers of (female) individuals of each type at time t and tion size. These parameters can be estimated from the average A(t) is a square projection matrix with nonnegative entries life history and the pattern of environmental fluctuations in Aij(t) that determine the number of individuals of type i pro- the vital rates. We also show that the distribution of time to duced at time t + 1 per individual of type j at time t. -
Maintenance of Quantitative Genetic Variance Under Partial Self-Fertilization, with Implications for Evolution of Selfing
GENETICS | INVESTIGATION Maintenance of Quantitative Genetic Variance Under Partial Self-Fertilization, with Implications for Evolution of Selfing Russell Lande*,1 and Emmanuelle Porcher† *Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire SL5 7PY, United Kingdom, and †Centre d’Ecologie et des Sciences de la Conservation (UMR7204), Sorbonne Universités, MNHN, Centre National de la Recherche Scientifique, UPMC, 75005 Paris, France ABSTRACT We analyze two models of the maintenance of quantitative genetic variance in a mixed-mating system of self-fertilization and outcrossing. In both models purely additive genetic variance is maintainedbymutationandrecombinationunder stabilizing selection on the phenotype of one or more quantitative characters. The Gaussian allele model (GAM) involves a finite number of unlinked loci in an infinitely large population, with a normal distribution of allelic effects at each locus within lineages selfed for t consecutive generations since their last outcross. The infinitesimal model for partial selfing (IMS) involves an infinite number of loci in a large but finite population, with a normal distribution of breeding values in lineages of selfing age t. In both models a stable equilibrium genetic variance exists, the outcrossed equilibrium, nearly equal to that under random mating, for all selfing rates, r, up to critical value,^r;the purging threshold, which approximately equals the mean fitness under random mating relative to that under complete selfing. In the GAM a second stable equilibrium, the purged equilibrium, exists for any positive selfing rate, with genetic variance less than or equal to that under pure selfing; as r increases above ^r the outcrossed equilibrium collapses sharply to the purged equilibrium genetic variance. -
A Complete Bibliography of Publications in the Journal of Theoretical Biology: 1990–1999
A Complete Bibliography of Publications in the Journal of Theoretical Biology: 1990{1999 Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 01 June 2019 Version 1.00 Title word cross-reference 2 [SOR91]. 3 [LBND98, Mar92b, SL91a, Van91]. 4 [Lac90]. 6 [RP99]. > [Hir93]. + [BS92, Cla95, Joh93, NK90]. 2+ [AH90, Cha90, CJMBM92, HP97a, ◦ KD94, Kum91, LF95, LC97, LH91, LR94c, SW91]. [Fli99]. 0 [O'N91]. 1 [O'N91]. 2 [CLY99]. 3 [KD94, LR94c, WBC99]. cmax [WBC99]. i [LR94c]. ml + [WBC99]. α [LBDDG90, MGL 95, Nak95, SST91, TSC90]. b1 [Yar96]. β [Iid90, Rad91, TSC90]. · [SST91, Spe90]. ∆ [Fri98]. [Boe90]. g [MNB97]. Km [RP96]. L = C [Hes90]. µ [RSB92]. N [Dug90, Bla97]. p [DGSK99, Khr98]. Φ [N¨ol98, N¨ol99]. ΦF (0) [PN98]. ! [MR98, O'N91]. -1 [LBND98]. -Adic [DGSK99, Khr98]. -amylase-catalyzed [Nak95]. -ATPase [BS92]. -azaadenine [SOR91]. -chymotrypsin [LBDDG90]. -D [Mar92b, SL91a, Van91]. -dependent [MNB97, CJMBM92]. -globin [Boe90, Iid90]. -helix [TSC90]. -induced [KD94]. -morphogen [Lac90]. -person [Dug90]. -phosphogluconolactone [RP99]. -player [Bla97]. -sarcin [MGL+95]. -sarcin-membrane [MGL+95]. -structure [TSC90]. 1 2 -structures [Rad91]. -thalassemia [Iid90]. -values [N¨ol98, N¨ol99]. [Boe90]. /K [BS92]. 1 [Fin92b, Ham93, Mel93a, TCZ95, TL98, WDP98]. 1-dimenthylurea [LBND98]. 100 [CF94b]. 100-A˚ [CF94b]. 16S [AIK99]. 185 [BBM+13a, BBM+13b]. 19th [Ano99c]. 2 [MK93, SST91]. 2- [RSB92]. 2nd [Ano99a]. 353-379 [Ano92-29]. -
Mate Choice | Principles of Biology from Nature Education
contents Principles of Biology 171 Mate Choice Reproduction underlies many animal behaviors. The greater sage grouse (Centrocercus urophasianus). Female sage grouse evaluate males as sexual partners on the basis of the feather ornaments and the males' elaborate displays. Stephen J. Krasemann/Science Source. Topics Covered in this Module Mating as a Risky Behavior Major Objectives of this Module Describe factors associated with specific patterns of mating and life history strategies of specific mating patterns. Describe how genetics contributes to behavioral phenotypes such as mating. Describe the selection factors influencing behaviors like mate choice. page 882 of 989 3 pages left in this module contents Principles of Biology 171 Mate Choice Mating as a Risky Behavior Different species have different mating patterns. Different species have evolved a range of mating behaviors that vary in the number of individuals involved and the length of time over which their relationships last. The most open type of relationship is promiscuity, in which all members of a community can mate with each other. Within a promiscuous species, an animal of either gender may mate with any other male or female. No permanent relationships develop between mates, and offspring cannot be certain of the identity of their fathers. Promiscuous behavior is common in bonobos (Pan paniscus), as well as their close relatives, the chimpanzee (P. troglodytes). Bonobos also engage in sexual activity for activities other than reproduction: to greet other members of the community, to release social tensions, and to resolve conflicts. Test Yourself How might promiscuous behavior provide an evolutionary advantage for males? Submit Some animals demonstrate polygamous relationships, in which a single individual of one gender mates with multiple individuals of the opposite gender. -
Human Sexual Selection
Available online at www.sciencedirect.com ScienceDirect Human sexual selection David Puts Sexual selection favors traits that aid in competition over Here, I review evidence, focusing on recent findings, mates. Widespread monogamous mating, biparental care, regarding the strength and forms of sexual selection moderate body size sexual dimorphism, and low canine tooth operating over human evolution and consider how sexual dimorphism suggest modest sexual selection operating over selection has shaped human psychology, including psy- human evolution, but other evidence indicates that sexual chological sex differences. selection has actually been comparatively strong. Ancestral men probably competed for mates mainly by excluding The strength of human sexual selection competitors by force or threat, and women probably competed Some evidence suggests that sexual selection has been primarily by attracting mates. These and other forms of sexual relatively weak in humans. Although sexual dimorphisms selection shaped human anatomy and psychology, including in anatomy and behavior may arise from other selective some psychological sex differences. forces, the presence of sexually dimorphic ornamentation, Address weaponry, courtship displays, or intrasexual competition Department of Anthropology and Center for Brain, Behavior and indicates a history of sexual selection [3]. However, men’s Cognition, Pennsylvania State University, University Park, PA 16802, 15–20% greater body mass than women’s is comparable to USA primate species with a modest degree of mating competi- tion among males, and humans lack the canine tooth Corresponding author: Puts, David ([email protected]) dimorphism characteristic of many primates with intense male competition for mates [4]. Moreover, humans exhibit Current Opinion in Psychology 2015, 7:28–32 biparental care and social monogamy, which tend to occur This review comes from a themed issue on Evolutionary psychology in species with low levels of male mating competition [5]. -
Factors Influencing the Diversification of Mating Behavior of Animals
International Journal of Zoology and Animal Biology ISSN: 2639-216X Factors Influencing the Diversification of Mating Behavior of Animals Afzal S1,2*, Shah SS1,2, Afzal T1, Javed RZ1, Batool F1, Salamat S1 and Review Article Raza A1 Volume 2 Issue 2 1Department of zoology, university of Narowal, Pakistan Received Date: January 28, 2019 Published Date: April 24, 2019 2Department of zoology, university of Punjab, Pakistan DOI: 10.23880/izab-16000145 *Corresponding author: Sabila Afzal, Department of zoology, University of Punjab, Pakistan, Email: [email protected] Abstract “Mating system” of a population refers to the general behavioral strategy employed in obtaining mates. In most of them one sex is more philopatric than the other. Reproductive enhancement through increased access to mates or resources and the avoidance of inbreeding are important in promoting sex differences in dispersal. In birds it is usually females which disperse more than males; in mammals it is usually males which disperse more than females. It is argued that the direction of the sex bias is a consequence of the type of mating system. Philopatry will favor the evolution of cooperative traits between members of the sedentary sex. It includes monogamy, Polygyny, polyandry and promiscuity. As an evolutionary strategy, mating systems have some “flexibility”. The existence of extra-pair copulation shows that mating systems identified on the basis of behavioral observations may not accord with actual breeding systems as determined by genetic analysis. Mating systems influence the effectiveness of the contraceptive control of pest animals. This method of control is most effective in monogamous and polygamous species. -
Decontextualized Learning for Interpretable Hierarchical Representations of Visual Patterns
DECONTEXTUALIZED LEARNING FOR INTERPRETABLE HIERARCHICAL REPRESENTATIONS OF VISUAL PATTERNS ∗ R. Ian Etheredge1, 2, 3, , Manfred Schartl4, 5, 6, 7, and Alex Jordan1, 2, 3 1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz, Germany 2Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany 3Department of Biology, University of Konstanz, Konstanz, Germany 4Centro de Investigaciones Científicas de las Huastecas Aguazarca, A.C., Calnali, Hidalgo, Mexico 5Developmental Biochemistry, Biocenter, University of Würzburg, Würzburg, Bavaria, Germany 6Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, USA 7Xiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, TX, USA September 22, 2020 SUMMARY Apart from discriminative models for classification and object detection tasks, the application of deep convolutional neural networks to basic research utilizing natural imaging data has been somewhat limited; particularly in cases where a set of interpretable features for downstream analysis is needed, a key requirement for many scientific investigations. We present an algorithm and training paradigm designed specifically to address this: decontextualized hierarchical representation learning (DHRL). By combining a generative model chaining procedure with a ladder network architecture and latent arXiv:2009.09893v1 [cs.CV] 31 Aug 2020 space regularization for inference, DHRL address the limitations of small datasets and encourages a disentangled set of hierarchically organized features. In addition to providing a tractable path for analyzing complex hierarchal patterns using variation inference, this approach is generative and can be directly combined with empirical and theoretical approaches. To highlight the extensibility and usefulness of DHRL, we demonstrate this method in application to a question from evolutionary biology. -
Sexual Selection and Mate Choice
Review TRENDS in Ecology and Evolution Vol.21 No.6 June 2006 Sexual selection and mate choice Malte Andersson1 and Leigh W. Simmons2 1Department of Zoology, University of Gothenburg, SE 405 30 Gothenburg, Sweden 2Centre for Evolutionary Biology, School of Animal Biology (M092), The University of Western Australia, Crawley 6009, WA, Australia The past two decades have seen extensive growth of characterization of genes and their effects, from DNA sexual selection research. Theoretical and empirical sequences via protein to phenotypic expression at the level work has clarified many components of pre- and of the individual, with possible consequences at the postcopulatory sexual selection, such as aggressive population level and above. competition, mate choice, sperm utilization and sexual conflict. Genetic mechanisms of mate choice evolution Evolution of mate choice have been less amenable to empirical testing, but Although mate choice occurs in males and females [4], for molecular genetic analyses can now be used for incisive convenience we refer here to female choice of male traits. experimentation. Here, we highlight some of the As experimental evidence accumulated, mate choice currently debated areas in pre- and postcopulatory became widely recognized, but the genetic mechanisms sexual selection. We identify where new techniques underlying its evolution remain the subject of debate can help estimate the relative roles of the various (Box 1). Showing how mating preferences evolve geneti- selection mechanisms that might work together in the cally is harder than showing that they exist, and the evolution of mating preferences and attractive traits, problem is aggravated by the possibility that several and in sperm–egg interactions. -
Sexual Selection, Speciation and Constraints on Geographical Range Overlap in Birds Christopher Cooney
Washington University in St. Louis Washington University Open Scholarship Biology Faculty Publications & Presentations Biology 5-16-2017 Sexual selection, speciation and constraints on geographical range overlap in birds Christopher Cooney Joseph A. Tobias Jason T. Weir Carlos A. Botero Washington University in St. Louis, [email protected] Nathalie Seddon Follow this and additional works at: https://openscholarship.wustl.edu/bio_facpubs Part of the Behavior and Ethology Commons, Biology Commons, and the Population Biology Commons Recommended Citation Cooney, Christopher; Tobias, Joseph A.; Weir, Jason T.; Botero, Carlos A.; and Seddon, Nathalie, "Sexual selection, speciation and constraints on geographical range overlap in birds" (2017). Biology Faculty Publications & Presentations. 139. https://openscholarship.wustl.edu/bio_facpubs/139 This Article is brought to you for free and open access by the Biology at Washington University Open Scholarship. It has been accepted for inclusion in Biology Faculty Publications & Presentations by an authorized administrator of Washington University Open Scholarship. For more information, please contact [email protected]. 1 Sexual selection, speciation, and constraints on geographical 2 range overlap in birds 3 4 Christopher R. Cooney1,2*, Joseph A. Tobias1,3, Jason T. Weir4, Carlos A. Botero5 & 5 Nathalie Seddon1 6 7 1Edward Grey Institute, Department of Zoology, University of Oxford, South Parks Road, 8 Oxford OX1 3PS, UK. 9 2Department of Animal and Plant Sciences, University of Sheffield, Western Bank, 10 Sheffield S10 2TN, UK. 11 3Department of Life Sciences, Imperial College London, Silwood Park, Buckhurst Road, 12 Ascot, Berkshire, SL5 7PY, UK. 13 4Department Ecology and Evolution and Department of Biological Sciences, University of 14 Toronto Scarborough, Toronto, ON M1C 1A4, Canada. -
Mate Choice and Sexual Selection: What Have We Learned Since Darwin?
Mate choice and sexual selection: What have we learned since Darwin? Adam G. Jones1 and Nicholas L. Ratterman Department of Biology, Texas A&M University, 3258 TAMU, College Station, TX 77843 Charles Darwin laid the foundation for all modern work on sexual concerns sexual selection, but many of Darwin’s insights regard- selection in his seminal book The Descent of Man, and Selection in ing sexual selection appear in his chapters on humans. Relation to Sex. In this work, Darwin fleshed out the mechanism of Darwin’s most lasting achievement with respect to sexual sexual selection, a hypothesis that he had proposed in The Origin of selection must be his definition of the term, as it is essentially the Species. He went well beyond a simple description of the phenom- same as the one still in use today. It is difficult to find a quote enon by providing extensive evidence and considering the far-reach- from Darwin that captures the full essence of his concept of ing implications of the idea. Here we consider the contributions of sexual selection, but he provides the following definition (ref. 2; Darwin to sexual selection with a particular eye on how far we have Part I, pp 254–255): progressed in the last 150 years. We focus on 2 key questions in sexual selection. First, why does mate choice evolve at all? And second, what ‘‘We are, however, here concerned only with that kind factors determine the strength of mate choice (or intensity of sexual of selection, which I have called sexual selection. This selection) in each sex? Darwin provided partial answers to these depends on the advantage which certain individuals questions, and the progress that has been made on both of these have over other individuals of the same sex and species, topics since his time should be seen as one of the great triumphs of in exclusive relation to reproduction.’’ modern evolutionary biology.