DOCSLIB.ORG

The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits Melinda C

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits Melinda C The Sociogenomics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits melinda c. mills, nicola barban, and f elix c. tropf Human reproductive behavior until relatively recently has been explained exclusively via individual and social characteristics. This article applies results from a recent Genome- Wide Association Study that com- bined sixty- two data sources to isolate twelve genetic loci associated with reproductive behavior. We create polygenic scores that allow us to include a summary variable of genetic factors into our statistical models. We use four datasets: the U.S. Health and Retirement Study, Dutch LifeLines, TwinsUK and the Swedish Twin register. First, we provide a brief overview of the dominant explanations of reproductive behavior. Second, we test the predictive power of polygenic scores. Third, we interrogate the robustness of our models using a series of sensitivity analyses to take into account possible confounders due to population stratifica- tion and selection. Keywords: human reproduction, polygenic scores, genetics, educational attainment, age at first birth, number of children ever born, fertility Human reproductive behavior—measured by only related to biological fecundity, but also age at first birth (AFB) and number of children have a strong behavioral element in that they ever born (NEB)—is a central topic of study are driven by the reproductive choice of indi- within the social, medical, and biological sci- viduals and their partners. They are likewise ences. AFB and NEB are complex behaviors not influenced by the environment and social in- Melinda C. Mills is Nuffield Professor of Sociology at the University of Oxford and Nuffield College and leads the Sociogenome project. Nicola Barban is senior research associate in the Department of Sociology at the University of Oxford and Nuffield College.Felix C. Tropf is a postdoctoral researcher in the Department of So- ciology at the University of Oxford and Nuffield College. © 2018 Russell Sage Foundation. Mills, Melinda C., Nicola Barban, and Felix C. Tropf. 2018. “The Sociogenom- ics of Polygenic Scores of Reproductive Behavior and Their Relationship to Other Fertility Traits.” RSF: The Russell Sage Foundation Journal of the Social Sciences 4(4): 122–36. DOI: 10.7758/RSF.2018.4.4.07. The research leading to these results has received funding from the following awards to PI M.C. Mills, European Research Council (ERC) Consolidator Grant SOCIOGENOME (615603, www.sociogenome.com), and Economic and So- cial Research Council (ESRC) UK, National Centre for Research Methods (NCRM) grant SOCGEN, European Union’s FP7 FamiliesAndSocieties project (no.320116) and the Wellcome Trust ISSF and John Fell Fund. Direct correspondence to: Melinda C. Mills at [email protected], Department of Sociology, Nuffield Col- lege, University of Oxford, OX1 3UQ United Kingdom; Nicola Barban at [email protected]; and Felix C. Tropf at [email protected]. Open Access Policy: RSF: The Russell Sage Foundation Journal of the Social Sciences is an open access journal. This article is published under a Creative Commons Attribution- NonCommercial- NoDerivs 3.0 Unported Li- cense. the sociogenomics of polygenic scores 123 stitutions, including multiple factors such as to educational systems and the educational contraceptive legislation and availability, edu- level of individuals (particularly women) (Bhrol- cational expansion, and social norms (Balbo, cháin and Beaujouan 2012; Rindfuss, Morgan, Billari, and Mills 2013). The past four decades and Offutt 1996; Tropf and Mandemakers 2017), have brought a rapid postponement of AFB by gender equity (McDonald 2002; Mills et al. around four to five years in many advanced so- 2011), normative changes in preferences for cieties and a growth in childlessness (Mills et children (de Kaa 1987), effective contraception al. 2011). The biological ability to conceive (Murphy 1993), availability of childcare (Brew- starts to steeply decline for some women as ster and Rindfuss 2000), women’s employment early as age twenty- five, and almost 50 percent and occupation (Begall and Mills 2013; Brewster of women are sterile by the age of forty (Leri- and Rindfuss 2000), social interactions (Balbo don 2008). This delay has been linked to an and Barban 2014) and economic uncertainty unprecedented growth in infertility (involun- (Mills, Blossfeld, and Klijzing 2005). tary childlessness), which now affects around The genetic basis of human reproduction 10 to 15 percent of couples in Western societies, has often been ignored or even actively resisted and forty- eight million couples worldwide are by social scientists. As a recent review of the estimated as infertile (Boivin et al. 2007). biodemographic approach to fertility high- Relatively little is known about the specific lighted, the avoidance is largely attributed to genetic architecture of human reproductive be- the dark history related to eugenic policies, lack havior of AFB and NEB and the genetic relation- of proper interdisciplinary training, and appro- ship to other fertility traits that mark the re- priate genetic data that also contains social sci- productive window such as menarche and ence behavioral measures (Mills and Tropf menopause or behaviorally relevant traits such 2016). As noted by pioneers in this field (Kohler, as educational attainment (Okbay, Beauchamp, Rodgers, and Christensen 1999; Rodgers et al. et al. 2016). The current study uses polygenic 2001), another reason this connection has been scores constructed from a recent large meta- avoided is often attributed to an erroneously GWAS (Genome- Wide Association Study) of interpreted version of Ronald Fisher’s (1930) AFB and NEB, which used data from sixty- two Fundamental Theorem of Natural Selection. sources to isolate twelve loci linked to these Some interpreted Fisher’s theory to mean that traits (Barban et al. 2016). Some of the results since fertility is a fitness trait, this should the- reported here are briefly reported in the supple- oretically entail that a genetic basis (referred mentary material of this study, but without de- to as heritability1), should be zero. Fisher actu- tailed discussion, clarification or reflection. ally argued that fitness is moderately heritable in human populations. A naïve interpretation cenTral explanaTionS of has been that genes that reduce fitness should reproducTive Behavior have been less frequently passed on, leading to Reproductive behavior has been largely ex- the elimination of genetic variability in traits plained by social scientists by focusing on in- such as fertility (Courtiol, Tropf, and Mills dividual and couple characteristics and social 2016). Nevertheless, we find that fitness traits structural or institutional factors (Balbo, Bil- such as NEB and AFB have what is known as lari, and Mills 2013). Core explanations, bol- significant narrow- sense heritabilities.2 It may stered by a large body of empirical evidence, be that new mutations restore any genetic vari- has related the timing and number of children ance lost to selection, that there are sexual an- 1. Heritability (H2) is a statistical term used to denote the proportion of phenotypic (trait) variance due to variance in genotypes. It is important to note that it is specific to the population and environment of analysis and that it is a population and not an individual estimate. It is not a simple measure of the degree to which a trait or phe- notype is genetic but rather the proportion of phenotypic variance that is the result of genetic factors. 2. Both broad- and narrow- sense heritability can be estimated. Broad- sense heritability is the ratio of the total 2 genetic variance to total phenotypic (trait) variance or: H = VG/VP. Narrow- sense heritability refers to ratio of 2 the additive genetic component in contrast to the total (nonadditive) phenotypic variance or: h = VA/VP. rsf: the russell sage foundation journal of the social sciences 124 biosocial path Ways across the life course tagonistic genetic effects (genes have opposite one limited dataset, we test our results using effects for the fertility of men and women), four datasets: the Health and Retirement Study nonadditive genetic effects, environment and (HRS), LifeLines, TwinsUK, and Swedish Twin gene- environment interaction (Tropf et al. 2017; Registry (STR). Verweij et al. 2017). At least some genetic underpinnings of HRS fertility behavior are plausible. In fact, a grow- The Health and Retirement Study is an ongo- ing number of twin and family studies have ing cohort study of Americans, with interview shown a genetic component underlying AFB data collected biennially on demographics, and NEB (Briley, Tropf, and Mills 2017; Tropf, health behavior, health status, employment, Barban, et al. 2015; Zietsch et al. 2014). A recent income and wealth, and insurance status. The meta-analysis of all twin studies conducted un- first cohort was interviewed in 1992 and subse- til 2012 shows average heritability of 0.45 (SE = quently every two years; five additional cohorts 0.027, N = 50,265) among sixty- four reproduc- were added between 1994 and 2010. Between tive disease traits of women and of 0.36 (SE= 2006 and 2008, the HRS genotyped 12,507 re- 0.054, N = 9,376) among twenty- five reproduc- spondents who provided DNA samples and tive disease traits of men (Polderman et al. signed consent. DNA samples were genotyped 2015). The advent of molecular genetic data and using the Illumina Human Omni- 2.5 Quad complementary analytical tools means that we BeadChip, with coverage of approximately 2.5 are now able to go beyond twin models to ex- million single nucleotide polymorphisms amine for the first time the genetic relatedness (SNPs). The full details of the study are de- of unrelated individuals (Mills and Tropf 2016; scribed in (Juster and Suzman 1995). Yang et al. 2010). A recent study using whole- genome data of unrelated individuals shows LifeLines Cohort Study that 10 percent of the variance in NEB and 15 The LifeLines Cohort Study is a multidisci- percent in AFB are associated with common plinary prospective population- based cohort additive genetic variance (Tropf, Stulp, et al.
Load more

Recommended publications
  • Genomic Response to the Social Environment: Implications for Health Outcomes
    Genomic Response to the Social Environment: Implications for Health Outcomes June 24, 2020 Workshop Summary Workshop Goals Jessica M. Gill, PhD, RN, FAAN Acting Deputy Director, National Institute of Nursing Research (NINR) Dr. Gill welcomed participants and acknowledged funding support from the National Institutes of Health (NIH) Office of Disease Prevention (ODP) and the NIH Office of Behavioral and Social Sciences Research (OBSSR) as well as colleagues across NIH Institutes, Centers, and Offices who participated in planning the workshop. Although it has long been recognized that the social environment can influence the risk, manifestation, and trajectory of disease and associated symptoms, the underlying biological mechanisms remain largely understudied. This transdisciplinary event will address the relationship among genomics (e.g., epigenomics, gene expression, microbiome, telomeres), the social environment, and health outcomes across conditions, populations, and the lifespan. Discussions will include an exchange of ideas to advance a social genomics research strategy that illuminates genetic influences on disease burden and to inform future interventions. Overview of the Day and Introduction of Keynote Speakers Lois Tully, PhD Program Director, NINR Dr. Tully provided an overview of the workshop agenda and introduced the keynote speakers, Drs. Janice Kiecolt-Glaser and Steve Cole. She encouraged participants to engage in thoughtful discussion about potential next steps toward integrating a social genomics approach into personalized strategies that prevent, modify, or buffer adverse social environments and lead to better health outcomes. Lovesick: How Couples’ Relationships Influence Health Janice Kiecolt-Glaser, PhD Director, Institute for Behavioral Medicine Research Distinguished University Professor Institute for Behavioral Medicine Research The Ohio State University College of Medicine Dr.
    [Show full text]
  • A Supergene-Linked Estrogen Receptor Drives Alternative Phenotypes in a Polymorphic Songbird
    A supergene-linked estrogen receptor drives alternative phenotypes in a polymorphic songbird Jennifer R. Merritta,1, Kathleen E. Grogana, Wendy M. Zinzow-Kramera, Dan Sunb, Eric A. Ortlundc, Soojin V. Yib, and Donna L. Maneya aDepartment of Psychology, Emory University, Atlanta, GA 30322; bSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332; and cDepartment of Biochemistry, Emory University, Atlanta, GA 30322 Edited by Gene E. Robinson, University of Illinois at Urbana–Champaign, Urbana, IL, and approved July 8, 2020 (received for review June 3, 2020) Behavioral evolution relies on genetic changes, yet few behaviors tan-striped (TS) morph are homozygous for the standard ar- can be traced to specific genetic sequences in vertebrates. Here we rangement, ZAL2 (13, 14) (Fig. 1A). The rearrangement is provide experimental evidence showing that differentiation of a maintained in the population because of the species’ unique dis- single gene has contributed to the evolution of divergent behav- assortative mating system; nearly every breeding pair consists of ioral phenotypes in the white-throated sparrow, a common back- one individual of each morph (15). Because almost all WS birds yard songbird. In this species, a series of chromosomal inversions are heterozygous for ZAL2m (15, 16), this mating system keeps has formed a supergene that segregates with an aggressive phe- ZAL2m in a near-constant state of heterozygosity (Fig. 1B), pro- notype. The supergene has captured ESR1, the gene that encodes foundly suppressing recombination and causing it to differentiate estrogen receptor α (ERα); as a result, this gene is accumulating from ZAL2 (15, 17). changes that now distinguish the supergene allele from the stan- The rearranged region of ZAL2m in white-throated sparrows dard allele.
    [Show full text]
  • Genomic and Transcriptomic Analyses of the Subterranean Termite
    bioRxiv preprint doi: https://doi.org/10.1101/2021.07.11.451559; this version posted July 12, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Genomic and transcriptomic analyses of the 2 subterranean termite Reticulitermes speratus: gene 3 duplication facilitates social evolution 4 5 Shuji Shigenobu*+1,2, Yoshinobu Hayashi+3, Dai Watanabe 4,5, Gaku Tokuda6, 6 Masaru Y Hojo6,19, Kouhei Toga5,7, Ryota Saiki5, Hajime Yaguchi5,8, Yudai 7 Masuoka5,9, Ryutaro Suzuki5,10, Shogo Suzuki5, Moe Kimura11, Masatoshi 8 Matsunami4,12, Yasuhiro Sugime4, Kohei Oguchi4,10,13, Teruyuki Niimi2,14, Hiroki 9 Gotoh15,20, Masaru K Hojo8, Satoshi Miyazaki16, Atsushi Toyoda17, Toru Miura*4,13, 10 Kiyoto Maekawa*18 11 12 1) NIBB Research Core Facilities, National Institute for Basic Biology, Okazaki, 13 444-8585 Japan 14 2) Department of Basic Biology, School of Life Science, The Graduate University for 15 Advanced Studies, SOKENDAI, Nishigonaka 38, Myodaiji, Okazaki, Aichi 444- 16 8585, Japan 17 3) Department of Biology, Keio University, Hiyoshi, Yokohama, 223-8521, Japan 18 4) Faculty of Environmental Earth Science, Hokkaido University, Sapporo, 19 Hokkaido, 060-0810, Japan 20 5) Graduate School of Science and Engineering, University of Toyama, Toyama, 21 930-8555, Japan 22 6) Tropical Biosphere Research Center, COMB, University of the Ryukyus, 23 Nishihara, Okinawa 903-0213, Japan 24 7) Department of Biosciences, College of Humanities and Sciences,
    [Show full text]
  • How Genome-Wide Association Studies on Educational Attainment Reify Eugenic Ideologies
    How Genome-Wide Association Studies on Educational Attainment Reify Eugenic Ideologies Dawn Warfield* Mentor: Dr. Emily Merchant Science and Technology Studies, UC Davis Abstract Genomic science and data are becoming ubiquitously entwined with how we describe the human condition in its physical, psychological, and social expression. Behavioral heredity research delves into genetic data science to reveal possible conditions, correlates, and determinants for particular behaviors and aptitudes that shape our individual and collective human experience. This article surveys the history, research culture, and methods of behavioral heredity science to investigate the techno-social interaction and motivations for recent genome-wide association studies (GWAS) performed to identify genomic biomarkers associated with educational attainment. Introduction The knowledge regime of behavioral heredity began in the late 19th century with Mendelian inference and extrapolated findings from animal breeding. As the technology of molecular biology enabled new understandings about the relationship between the heritability of traits and medical conditions through genes, social scientists began to explore genetics as a means to biologically explain human behavior and socioeconomic potential. In the most recent iteration of behavioral heredity, sociogenomic researchers now have access to both genomic and empirical survey data derived from longitudinal studies with broadening population samples, engendering new possibilities for finding associations. A Historical Perspective on Sociogenomics The longer history of sociogenomics begins with Francis Galton, who coined the word “eugenics,” literally meaning “well borne” in Greek, in 1883 (Müller-Wille and Rheinberger). Galton’s belief that human society could be perfected through selective breeding and social divestment of those considered to be a threat to the gene pool proved popular among scientists at the turn of the twentieth century.
    [Show full text]
  • Sociogenomics on the Wings of Social Insects Sainath Suryanarayanan
    HoST - Journal of History of Science and Technology Vol. 13, no. 2, December 2019, pp. 86-117 10.2478/host-2019-0014 SPECIAL ISSUE ANIMALS, SCIENCE AND TECHNOLOGY: MULTISPECIES HISTORIES OF SCIENTIFIC AND SOCIOTECHNICAL KNOWLEDGE-PRACTICES The Social Evolving: Sociogenomics on the Wings of Social Insects Sainath Suryanarayanan University of Wisconsin-Madison [email protected] Abstract: This paper excavates the epistemological and ontological foundations of a rapidly emerging field called sociogenomics in relation to the development of social insects as models of social behavior. Its center-stage is “the genome,” where social and environmental information and genetic variation interact to influence social behavior through dynamic shifts in gene expression across multiple bodies and time-scales. With the advent of whole-genome sequencing technology, comparative genomics, and computational tools for mining patterns of association across widely disparate datasets, social insects are being experimented with to identify genetic networks underlying autism, novelty-seeking and aggression evolutionarily shared with humans. Drawing on the writings of key social insect biologists, and historians and philosophers of science, I investigate how the historical development of social insect research on wasps, ants and bees shape central approaches in sociogenomics today, in particular, with regards to shifting understandings of “the individual” in relation to “the social.” Keywords: sociogenomics; social insect; sociobiology; postgenomics; biology and society © 2019 Sainath Suryanarayanan. This is an open access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Sainath Suryanarayanan 87 Introduction …I believe that the difficulty in studying the genetic basis of social behavior demands a bold, new initiative, which I call sociogenomics.
    [Show full text]
  • The Sociogenomics of Sexual and Reproductive Behaviour
    The sociogenomics of sexual and reproductive behaviour Melinda Mills University of Oxford & Nuffield College Completed Cohort Fertility, birth cohorts 1935-1972 Source: Human Fertility Database (https://www.humanfertility.org/cgi-bin/main.php), accessed April 3, 2018. Figure produced by Melinda. Average childlessness levels in Europe, women born 1900–1972 25 30 Italy & Spain European Average Nordic countries Austria, Germany, 25 20 Switzerland Western 20 Europe 15 15 10 Central Europe 10 Share of women childless (%) Eastern & south-eastern Europe Numberof countries covered 5 5 0 0 1900 1905 1910 1915 1920 1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 Year of birth Sobotka (2017) Women’s Mean Age First Birth, 1960-2016 32 Austria 30 Canada Czech Republic 28 Estonia Finland Hungary 26 Iceland Italy 24 Netherlands Norway Portugal Women's Mean Age at First Birth First at Age Mean Women's 22 Spain Sweden Switzerland 20 USA 1974 2008 1960 1962 1964 1966 1968 1970 1972 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2010 2012 2014 Year Source: Human Fertility Database (https://www.humanfertility.org/cgi-bin/main.php), accessed April 3, 2018. Figure produced by Melinda. Social behaviour (and some diseases) influenced by: contraceptive laws; personality; partner reproductive span; childcare, & individual ovulation, sperm educational systems, characteristics production, etc. housing, marriage norms Sociogenomics: bridges 2 parallel approaches Location of genetic variants (GWAS) Genetic Risk Fertility Predictive
    [Show full text]
  • Densely Packed Yeast: a Tool to Study Evolution of Group Dynamics and to Enhance Biomanufacturing
    DENSELY PACKED YEAST: A TOOL TO STUDY EVOLUTION OF GROUP DYNAMICS AND TO ENHANCE BIOMANUFACTURING. A Dissertation Presented to The Academic Faculty by Jordan Gulli In Partial Fulfillment of the Requirements for the Doctor of Philosophy in Biology in the School of Biological Sciences Georgia Institute of Technology December 2019 COPYRIGHT © 2019 BY JORDAN GULLI DENSELY PACKED YEAST: A TOOL TO STUDY EVOLUTION OF GROUP DYNAMICS AND TO ENHANCE BIOMANUFACTURING. Approved by: Dr. Frank Rosenzweig, Advisor Dr. Francesca Storici School of Biology School of Biology Georgia Institute of Technology Georgia Institute of Technology Dr. William Ratcliff Dr. Peter Yunker School of Biology School of Physics Georgia Institute of Technology Georgia Institute of Technology Dr. Brian Hammer Dr. Arthur Kruckeberg School of Biology Senior Research Scientist Georgia Institute of Technology Trait Biosciences Date Approved: August 03, 2019 To my parents, who always knew I could do it. And to Alex, who helped me get there. ACKNOWLEDGEMENTS I would like to first thank all those who have provided me with exemplary scientific training over the years, including mentors Dr. Amy Schmid, Dr. Alexander Pavlov, Dr. William Ratcliff, and Dr. Frank Rosenzweig, as well as less formal sources of instruction, including Kriti Sharma, Jennifer Pentz, Shane Jacobeen, and Emily Cook. I would also like to express gratitude for my sources of funding, including NSF Graduate Research Predoctoral Fellowship DGE-1148903, NSF iCorps 1743464 and the Georgia Research Alliance (GRA.Vl18.B16). Last, but not least, I would like to thank all those whose support has been less tangible, though no less important: my parents Mick and Karen Gulli, my godparents Buzz and Rho Griffin, Alexander Radek, and, of course, Emma.
    [Show full text]
  • Genomic Tools for Behavioural Ecologists to Understand Repeatable Individual Differences in Behaviour
    REVIEW ARTICLE https://doi.org/10.1038/s41559-017-0411-4 Genomic tools for behavioural ecologists to understand repeatable individual differences in behaviour Sarah E. Bengston! !1*, Romain A. Dahan! !2, Zoe Donaldson! !3, Steven M. Phelps! !4, Kees van Oers! !5, Andrew Sih! !6 and Alison M. Bell! !7,8 Behaviour is a key interface between an animal’s genome and its environment. Repeatable individual differences in behaviour have been extensively documented in animals, but the molecular underpinnings of behavioural variation among individuals within natural populations remain largely unknown. Here, we offer a critical review of when molecular techniques may yield new insights, and we provide specific guidance on how and whether the latest tools available are appropriate given different resources, system and organismal constraints, and experimental designs. Integrating molecular genetic techniques with other strategies to study the proximal causes of behaviour provides opportunities to expand rapidly into new avenues of exploration. Such endeavours will enable us to better understand how repeatable individual differences in behaviour have evolved, how they are expressed and how they can be maintained within natural populations of animals. he stunning diversity of behaviour within a species has the result of multifaceted, highly dynamic and non-linear epistatic, become a thriving area of research for behavioural ecologists. transcriptional, epigenomic, ontogenetic, neural and metabolic pro- TAs a result, we now know that repeatable individual differ- cesses5, which makes it hard to study. Plastic traits such as behav- ences in behaviour among animals within populations is ubiqui- iour present specific challenges for studies at the molecular level: tous.
    [Show full text]
  • Genes, Cognition, and Social Behavior: Next Steps for Foundations and Researchers
    Genes, Cognition, and Social Behavior: Next Steps for Foundations and Researchers Prepared by Arthur Lupia, University of Michigan with the assistance of Jedediah Madsen and Kristyn L. Miller, Department of Political Science, University of Michigan Includes contributions by Daniel Benjamin, Assistant Professor of Economics, Cornell University Turhan Canli, Associate Professor of Psychology, Stony Brook University Susan Courtney, Professor of Psychological and Brain Sciences, Johns Hopkins University Russell Fernald, Professor of Biology, Stanford University Jeremy Freese, Professor of Sociology, Northwestern University Elizabeth Hammock, Instructor of Pediatrics, Vanderbilt University Peter Hatemi, Assistant Professor of Political Science, University of Iowa Rose McDermott, Professor of Political Science, Brown University Aldo Rustichini, Professor of Economics, University of Minnesota NSF WORKSHOP ON GENES, COGNITION, AND SOCIAL BEHAVIOR June 28, 2010/Arlington, VA Final Version: January 2011 Funded by the National Science Foundation’s Political Science Program (SBE ‐1037831) Table of Contents Executive Summary 2 1. Introduction: Are studies of social behavior that build from discoveries about genes and/or cognition of greater social and scientific value than studies of the same topics that ignore such factors? 7 2. Our Approach to the Question: Specify how fundable research on genes, cognition and politics will generate transformative scientific practices, infrastructure, and findings of high social value. 12 3. Findings 21 a. Biologically‐Informed Social Science Requires Greater Education About Biological Concepts and the Potential Relevance to Social Behavior 24 b. Biologically‐Informed Social Behavioral Research Needs More Data and Better Inferential Standards 32 c. Biologically Informed Social Behavioral Research Needs Serious and Sustained Collaborations Between Social Scientists and Natural Scientists 52 4.
    [Show full text]
  • Sociogenomics Takes Flight Showed the Expected Expression Patterns in All 61 Four Species
    S CIENCE’ S C OMPASS 65 PERSPECTIVES: DEVELOPMENT (Formica) nitridiventris. For queens, the re- 64 sults were straightforward: Wing development 63 genes highly conserved in other insects 62 Sociogenomics Takes Flight showed the expected expression patterns in all 61 four species. (The same re- 60 Gene E. Robinson sult was obtained for males, 59 which also are winged.) For 58 hese are good times for research on so- logical differences among workers, the results were 57 cial insects. The social Hymenoptera— worker castes in many surprising. Expecting wing- 56 Tants, bees, and wasps—are emerging as species of ants, which re- lessness in the four ant 55 valuable models for the study of molecular flects a further division of species to be associated 54 processes (1). The honey bee Apis mellifera, labor. Smaller workers with a break at the same 53 a social insect, has just been selected by the care for the brood, whereas node of the genetic network, 52 NIH’s National Human Genome Research larger individuals become Abouheif and Wray instead 51 Institute to be among the next group of or- highly specialized as “sol- observed different gene ex- 50 ganisms to have its genome sequenced (2). diers” with powerful jaws pression patterns in different 49 Genes that are important for the organization and potent toxins. species. For example, wing 48 of ant (3) and bee (4) societies have been Insects were the first development in C. lineolata 47 identified during the past year, and the devel- group of animals to fly, and N. nitridiventris workers 46 opment of genomic resources such as ex- more than 100 million was shut down toward the 45 pressed sequence tags and microarrays (5, 6) years before reptiles and end of the process (no ex- 44 is quickening the pace of discovery.
    [Show full text]
  • New Frontiers for the Integrative Study of Animal Behavior
    New Frontiers for the Integrative Study of Animal Behavior A report of a workshop held at the New York Genome Center, New York NY August 6-9, 2014 This report was prepared in November 2014 by the participants of the workshop for the National Science Foundation. The workshop was sponsored by the National Science Foundation through Grant Number IOS-1439985 to Columbia University. Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants and do not necessarily represent the official views, opinions, or policy of the National Science Foundation. NSF White Paper: New Frontiers for the Integrative Study of Animal Behavior November 2014 Organizers Dustin R. Rubenstein, Columbia University Hans Hofmann, The University of Texas Austin Participants Erol Akcay, University of Pennsylvania Suzanne Alonzo, University of California Santa Cruz Elizabeth Archie, University of Notre Dame Annaliese Beery, Smith College Rebecca Calisi-Rodríguez, Barnard College Karen Carleton, University of Maryland Brian Chow, University of Pennsylvania Josh Dubnau, Cold Spring Harbor Laboratory Christina Grozinger, Pennsylvania State University Ellen Ketterson, Indiana University Andrew Leifer, Princeton University Tim Linksvayer, University of Pennsylvania Matthew MacManes, University of New Hampshire Lynn Martin, University of South Florida Kevin McGraw, Arizona State University Lisa McGraw, North Carolina State University Tamra Mendelson, University of Maryland Baltimore County Lauren O'Connell, Harvard University Alex Ophir, Cornell University Luke Remage-Healey, University of Massachusetts Amherst Suzy Renn, Reed College Timothy Roth, Franklin and Marshall College Jenny Tung, Duke University Sarah Woolley, Columbia University - 2 - NSF White Paper: New Frontiers for the Integrative Study of Animal Behavior November 2014 Executive Summary The organism is the central unit of integration for genes, development, and the environment.
    [Show full text]
  • Gene Expression and the Evolution of Behavioral Plasticity
    Copyright C Blackwell Munksgaard 2002 Genes, Brain and Behavior 2002; 1: 197–203 Blackwell Munksgaard ISSN 1601-1848 Commentary Social behavior and comparative genomics: new genes or new gene regulation? G. E. Robinson*,† and Y. Ben-Shahar* nematode Caenorhabditis elegans (de Bono & Bargmann 1998), but also in several organisms used as models for be- *Department of Entomology and †Neuroscience Program, havioral analysis: voles (reviewed by Insel & Young 2000), University of Illinois at Urbana-Champaign, Urbana, USA birds (reviewed by Clayton 2000b), fish (Hofmann & Fernald 2000), crayfish (Spitzer et al. 2001), ants (Krieger & Ross Corresponding author: Gene E. Robinson, Department of Ento- 2002), and bees (reviewed by Robinson 2002b). mology, University of Illinois at Urbana-Champaign, 320 Morrill Hall, 505 S. Goodwin Avenue, Urbana, IL 61801, USA. E-mail: A number of factors, including the following three, contrib- [email protected] ute to the diversity of models used to study genes and social behavior. First, employing Drosophila and C.elegans in this Molecular analyses of social behavior are distinguished context has, until now, been limited to studies of elemental by the use of an unusually broad array of animal social behaviors; mating behavior (Greenspan & Ferveur models. This is advantageous for a number of reasons, including the opportunity for comparative genomic 2000) and aggregation during feeding (de Bono & Bargmann analyses that address fundamental issues in the mol- 1998). Mating is the only activity in Drosophila known to ecular biology of social behavior. One issue relates to involve structured interactions with conspecifics (but see the kinds of changes in genome structure and function Chen et al.
    [Show full text]