1
|
Keagy J, Hofmann HA, Boughman JW. Mate choice in the brain: species differ in how male traits 'turn on' gene expression in female brains. Proc Biol Sci 2024; 291:20240121. [PMID: 39079663 PMCID: PMC11288669 DOI: 10.1098/rspb.2024.0121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/21/2024] [Indexed: 08/03/2024] Open
Abstract
Mate choice plays a fundamental role in speciation, yet we know little about the molecular mechanisms that underpin this crucial decision-making process. Stickleback fish differentially adapted to limnetic and benthic habitats are reproductively isolated and females of each species use different male traits to evaluate prospective partners and reject heterospecific males. Here, we integrate behavioural data from a mate choice experiment with gene expression profiles from the brains of females actively deciding whether to mate. We find substantial gene expression variation between limnetic and benthic females, regardless of behavioural context, suggesting general divergence in constitutive gene expression patterns, corresponding to their genetic differentiation. Intriguingly, female gene co-expression modules covary with male display traits but in opposing directions for sympatric populations of the two species, suggesting male displays elicit a dynamic neurogenomic response that reflects known differences in female preferences. Furthermore, we confirm the role of numerous candidate genes previously implicated in female mate choice in other species, suggesting evolutionary tinkering with these conserved molecular processes to generate divergent mate preferences. Taken together, our study adds important new insights to our understanding of the molecular processes underlying female decision-making critical for generating sexual isolation and speciation.
Collapse
Affiliation(s)
- Jason Keagy
- Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA 16802, USA
- Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Hans A. Hofmann
- Department of Integrative Biology, Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA
| | - Janette W. Boughman
- Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA
| |
Collapse
|
2
|
Fay CR, Toth AL. Is the genetic architecture of behavior exceptionally complex? CURRENT OPINION IN INSECT SCIENCE 2024; 62:101167. [PMID: 38280455 DOI: 10.1016/j.cois.2024.101167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 12/15/2023] [Accepted: 01/19/2024] [Indexed: 01/29/2024]
Abstract
Are traits with high levels of plasticity more complex in their genetic architecture, as they can be modulated by numerous different environmental inputs? Many authors have assumed that behavioral traits, in part because they are highly plastic, have an exceptionally complex genetic basis. We quantitatively summarized data from 31 genome-wide association studies (GWAS) and 87 traits in Drosophila melanogaster and found no evidence that behavioral traits have fundamental differences in the number of single-nucleotide polymorphisms or the significance or effect size of those associations, compared with nonbehavioral (morphological or physiological) traits. We suggest the assertion that behavioral traits are inherently more complex on a genetic basis compared with other types of traits should not be assumed true, and merits further investigation.
Collapse
Affiliation(s)
- Cameron R Fay
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50014, USA
| | - Amy L Toth
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50014, USA.
| |
Collapse
|
3
|
Yang Y, Axelrod CJ, Grant E, Earl SR, Urquhart EM, Talbert K, Johnson LE, Walker Z, Hsiao K, Stone I, Carlson BA, López-Sepulcre A, Gordon SP. Evolutionary divergence of developmental plasticity and learning of mating tactics in Trinidadian guppies. J Anim Ecol 2023. [PMID: 38156548 DOI: 10.1111/1365-2656.14043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/30/2023] [Indexed: 12/30/2023]
Abstract
Behavioural plasticity is a major driver in the early stages of adaptation, but its effects in mediating evolution remain elusive because behavioural plasticity itself can evolve. In this study, we investigated how male Trinidadian guppies (Poecilia reticulata) adapted to different predation regimes diverged in behavioural plasticity of their mating tactic. We reared F2 juveniles of high- or low-predation population origins with different combinations of social and predator cues and assayed their mating behaviour upon sexual maturity. High-predation males learned their mating tactic from conspecific adults as juveniles, while low-predation males did not. High-predation males increased courtship when exposed to chemical predator cues during development; low-predation males decreased courtship in response to immediate chemical predator cues, but only when they were not exposed to such cues during development. Behavioural changes induced by predator cues were associated with developmental plasticity in brain morphology, but changes acquired through social learning were not. We thus show that guppy populations diverged in their response to social and ecological cues during development, and correlational evidence suggests that different cues can shape the same behaviour via different neural mechanisms. Our study demonstrates that behavioural plasticity, both environmentally induced and socially learnt, evolves rapidly and shapes adaptation when organisms colonize ecologically divergent habitats.
Collapse
Affiliation(s)
- Yusan Yang
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Integrative Biology, University of South Florida, Tampa, Florida, USA
| | - Caleb J Axelrod
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Ecology and Evolution, Cornell University, Ithaca, New York, USA
| | - Elly Grant
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Shayna R Earl
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Biology, University of Louisville, Louisville, Kentucky, USA
| | - Ellen M Urquhart
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Katie Talbert
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Ecology and Evolution, Cornell University, Ithaca, New York, USA
| | - Lauren E Johnson
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Zakiya Walker
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kyle Hsiao
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Isabel Stone
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Bruce A Carlson
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Andrés López-Sepulcre
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Ecology and Evolution, Cornell University, Ithaca, New York, USA
| | - Swanne P Gordon
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Ecology and Evolution, Cornell University, Ithaca, New York, USA
| |
Collapse
|
4
|
Libro P, Chiocchio A, De Rysky E, Di Martino J, Bisconti R, Castrignanò T, Canestrelli D. De novo transcriptome assembly and annotation for gene discovery in Salamandra salamandra at the larval stage. Sci Data 2023; 10:330. [PMID: 37244908 DOI: 10.1038/s41597-023-02217-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/09/2023] [Indexed: 05/29/2023] Open
Abstract
Dispersal is a key process in ecology and evolutionary biology, as it shapes biodiversity patterns over space and time. Attitude to disperse is unevenly distributed among individuals within populations, and that individual personality can have pivotal roles in the shaping of this attitude. Here, we assembled and annotated the first de novo transcriptome of the head tissues of Salamandra salamandra from individuals, representative of distinct behavioral profiles. We obtained 1,153,432,918 reads, which were successfully assembled and annotated. The high-quality of the assembly was confirmed by three assembly validators. The alignment of contigs against the de novo transcriptome led to a mapping percentage higher than 94%. The homology annotation with DIAMOND led to 153,048 (blastx) and 95,942 (blastp) shared contigs, annotated on NR, Swiss-Prot and TrEMBL. The domain and site protein prediction led to 9850 GO-annotated contigs. This de novo transcriptome represents reliable reference for comparative gene expression studies between alternative behavioral types, for comparative gene expression studies within Salamandra, and for whole transcriptome and proteome studies in amphibians.
Collapse
Affiliation(s)
- Pietro Libro
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| | - Andrea Chiocchio
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| | - Erika De Rysky
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| | - Jessica Di Martino
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| | - Roberta Bisconti
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| | - Tiziana Castrignanò
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy.
| | - Daniele Canestrelli
- Università degli Studi della Tuscia, Dipartimento di Scienze ecologiche e Biologiche, Largo dell'Università snc, 01100, Viterbo, Italy
| |
Collapse
|
5
|
Libro P, Bisconti R, Chiocchio A, Spadavecchia G, Castrignanò T, Canestrelli D. First brain de novo transcriptome of the Tyrrhenian tree frog, Hyla sarda, for the study of dispersal behavior. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.947186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
6
|
Abstract
The repeated adaptation of oceanic threespine sticklebacks to fresh water has made it a premier organism to study parallel evolution. These small fish have multiple distinct ecotypes that display a wide range of diverse phenotypic traits. Ecotypes are easily crossed in the laboratory, and families are large and develop quickly enough for quantitative trait locus analyses, positioning the threespine stickleback as a versatile model organism to address a wide range of biological questions. Extensive genomic resources, including linkage maps, a high-quality reference genome, and developmental genetics tools have led to insights into the genomic basis of adaptation and the identification of genomic changes controlling traits in vertebrates. Recently, threespine sticklebacks have been used as a model system to identify the genomic basis of highly complex traits, such as behavior and host-microbiome and host-parasite interactions. We review the latest findings and new avenues of research that have led the threespine stickleback to be considered a supermodel of evolutionary genomics.
Collapse
Affiliation(s)
- Kerry Reid
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Michael A Bell
- University of California Museum of Paleontology, Berkeley, California 94720, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York 11794, USA;
| |
Collapse
|
7
|
Arasappan D, Eickhoff SB, Nemeroff CB, Hofmann HA, Jabbi M. Transcription Factor Motifs Associated with Anterior Insula Gene Expression Underlying Mood Disorder Phenotypes. Mol Neurobiol 2021; 58:1978-1989. [PMID: 33411239 DOI: 10.1007/s12035-020-02195-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 10/30/2020] [Indexed: 10/22/2022]
Abstract
Mood disorders represent a major cause of morbidity and mortality worldwide but the brain-related molecular pathophysiology in mood disorders remains largely undefined. Because the anterior insula is reduced in volume in patients with mood disorders, RNA was extracted from the anterior insula postmortem anterior insula of mood disorder samples and compared with unaffected controls for RNA-sequencing identification of differentially expressed genes (DEGs) in (a) bipolar disorder (BD; n = 37) versus (vs.) controls (n = 33), and (b) major depressive disorder (MDD n = 30) vs. controls, and (c) low vs. high axis I comorbidity (a measure of cumulative psychiatric disease burden). Given the regulatory role of transcription factors (TFs) in gene expression via specific-DNA-binding domains (motifs), we used JASPAR TF binding database to identify TF-motifs. We found that DEGs in BD vs. controls, MDD vs. controls, and high vs. low axis I comorbidity were associated with TF-motifs that are known to regulate expression of toll-like receptor genes, cellular homeostatic-control genes, and genes involved in embryonic, cellular/organ, and brain development. Robust imaging-guided transcriptomics by using meta-analytic imaging results to guide independent postmortem dissection for RNA-sequencing was applied by targeting the gray matter volume reduction in the anterior insula in mood disorders, to guide independent postmortem identification of TF motifs regulating DEG. Our findings of TF-motifs that regulate the expression of immune, cellular homeostatic-control, and developmental genes provide novel information about the hierarchical relationship between gene regulatory networks, the TFs that control them, and proximate underlying neuroanatomical phenotypes in mood disorders.
Collapse
Affiliation(s)
- Dhivya Arasappan
- Center for Biomedical Research Support, University of Texas at Austin, Austin, TX, USA
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Charles B Nemeroff
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- The Mulva Clinic for Neurosciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Institute of Early Life Adversity Research, Austin, TX, USA
| | - Hans A Hofmann
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Mbemba Jabbi
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- The Mulva Clinic for Neurosciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA.
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
| |
Collapse
|
8
|
Rey S, Jin X, Damsgård B, Bégout ML, Mackenzie S. Analysis across diverse fish species highlights no conserved transcriptome signature for proactive behaviour. BMC Genomics 2021; 22:33. [PMID: 33413108 PMCID: PMC7792025 DOI: 10.1186/s12864-020-07317-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 12/09/2020] [Indexed: 02/06/2023] Open
Abstract
Background Consistent individual differences in behaviour, known as animal personalities, have been demonstrated within and across species. In fish, studies applying an animal personality approach have been used to resolve variation in physiological and molecular data suggesting a linkage, genotype-phenotype, between behaviour and transcriptome regulation. In this study, using three fish species (zebrafish; Danio rerio, Atlantic salmon; Salmo salar and European sea bass; Dicentrarchus labrax), we firstly address whether personality-specific mRNA transcript abundances are transferrable across distantly-related fish species and secondly whether a proactive transcriptome signature is conserved across all three species. Results Previous zebrafish transcriptome data was used as a foundation to produce a curated list of mRNA transcripts related to animal personality across all three species. mRNA transcript copy numbers for selected gene targets show that differential mRNA transcript abundance in the brain appears to be partially conserved across species relative to personality type. Secondly, we performed RNA-Seq using whole brains from S. salar and D. labrax scoring positively for both behavioural and molecular assays for proactive behaviour. We further enriched this dataset by incorporating a zebrafish brain transcriptome dataset specific to the proactive phenotype. Our results indicate that cross-species molecular signatures related to proactive behaviour are functionally conserved where shared functional pathways suggest that evolutionary convergence may be more important than individual mRNAs. Conclusions Our data supports the proposition that highly polygenic clusters of genes, with small additive effects, likely support the underpinning molecular variation related to the animal personalities in the fish used in this study. The polygenic nature of the proactive brain transcriptome across all three species questions the existence of specific molecular signatures for proactive behaviour, at least at the granularity of specific regulatory gene modules, level of genes, gene networks and molecular functions. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07317-z.
Collapse
Affiliation(s)
- Sonia Rey
- Institute of Aquaculture, University of Stirling, Stirlingshire, FK9 4LA, UK
| | - Xingkun Jin
- Institute of Aquaculture, University of Stirling, Stirlingshire, FK9 4LA, UK.,Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, NO-0316, Oslo, Norway.,Institute of Marine Biology, College of Oceanography, Hohai University, Nanjing, 210098, China
| | - Børge Damsgård
- Faculty of Biosciences, Fisheries and Economics, UiT The Arctic University of Norway, 9037, Tromsø, Norway
| | | | - Simon Mackenzie
- Institute of Aquaculture, University of Stirling, Stirlingshire, FK9 4LA, UK.
| |
Collapse
|
9
|
Sinha S, Jones BM, Traniello IM, Bukhari SA, Halfon MS, Hofmann HA, Huang S, Katz PS, Keagy J, Lynch VJ, Sokolowski MB, Stubbs LJ, Tabe-Bordbar S, Wolfner MF, Robinson GE. Behavior-related gene regulatory networks: A new level of organization in the brain. Proc Natl Acad Sci U S A 2020; 117:23270-23279. [PMID: 32661177 PMCID: PMC7519311 DOI: 10.1073/pnas.1921625117] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Neuronal networks are the standard heuristic model today for describing brain activity associated with animal behavior. Recent studies have revealed an extensive role for a completely distinct layer of networked activities in the brain-the gene regulatory network (GRN)-that orchestrates expression levels of hundreds to thousands of genes in a behavior-related manner. We examine emerging insights into the relationships between these two types of networks and discuss their interplay in spatial as well as temporal dimensions, across multiple scales of organization. We discuss properties expected of behavior-related GRNs by drawing inspiration from the rich literature on GRNs related to animal development, comparing and contrasting these two broad classes of GRNs as they relate to their respective phenotypic manifestations. Developmental GRNs also represent a third layer of network biology, playing out over a third timescale, which is believed to play a crucial mediatory role between neuronal networks and behavioral GRNs. We end with a special emphasis on social behavior, discuss whether unique GRN organization and cis-regulatory architecture underlies this special class of behavior, and review literature that suggests an affirmative answer.
Collapse
Affiliation(s)
- Saurabh Sinha
- Department of Computer Science, University of Illinois, Urbana-Champaign, IL 61801;
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Beryl M Jones
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544
| | - Ian M Traniello
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Neuroscience Program, University of Illinois, Urbana-Champaign, IL 61801
| | - Syed A Bukhari
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Informatics Program, University of Illinois, Urbana-Champaign, IL 61820
| | - Marc S Halfon
- Department of Biochemistry, University at Buffalo-State University of New York, Buffalo, NY 14203
| | - Hans A Hofmann
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712
- Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX 78712
| | - Sui Huang
- Institute for Systems Biology, Seattle, WA 98109
| | - Paul S Katz
- Department of Biology, University of Massachusetts, Amherst, MA 01003
| | - Jason Keagy
- Department of Evolution, Ecology, and Behavior, School of Integrative Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Vincent J Lynch
- Department of Biological Sciences, University at Buffalo-State University of New York, Buffalo, NY 14260
| | - Marla B Sokolowski
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
- Program in Child and Brain Development, Canadian Institute for Advanced Research, Toronto, ON M5G 1M1, Canada
| | - Lisa J Stubbs
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801
- Department of Cell and Developmental Biology, University of Illinois, Urbana-Champaign, IL 61801
| | - Shayan Tabe-Bordbar
- Department of Computer Science, University of Illinois, Urbana-Champaign, IL 61801
| | - Mariana F Wolfner
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850
| | - Gene E Robinson
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, IL 61801;
- Neuroscience Program, University of Illinois, Urbana-Champaign, IL 61801
- Department of Entomology, University of Illinois, Urbana-Champaign, IL 61801
| |
Collapse
|
10
|
Brain transcriptomics of agonistic behaviour in the weakly electric fish Gymnotus omarorum, a wild teleost model of non-breeding aggression. Sci Rep 2020; 10:9496. [PMID: 32528029 PMCID: PMC7289790 DOI: 10.1038/s41598-020-66494-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 05/22/2020] [Indexed: 11/28/2022] Open
Abstract
Differences in social status are often mediated by agonistic encounters between competitors. Robust literature has examined social status-dependent brain gene expression profiles across vertebrates, yet social status and reproductive state are often confounded. It has therefore been challenging to identify the neuromolecular mechanisms underlying social status independent of reproductive state. Weakly electric fish, Gymnotus omarorum, display territorial aggression and social dominance independent of reproductive state. We use wild-derived G. omarorum males to conduct a transcriptomic analysis of non-breeding social dominance relationships. After allowing paired rivals to establish a dominance hierarchy, we profiled the transcriptomes of brain sections containing the preoptic area (region involved in regulating aggressive behaviour) in dominant and subordinate individuals. We identified 16 differentially expressed genes (FDR < 0.05) and numerous genes that co-varied with behavioural traits. We also compared our results with previous reports of differential gene expression in other teleost species. Overall, our study establishes G. omarorum as a powerful model system for understanding the neuromolecular bases of social status independent of reproductive state.
Collapse
|
11
|
Hilliard AT, Xie D, Ma Z, Snyder MP, Fernald RD. Genome-wide effects of social status on DNA methylation in the brain of a cichlid fish, Astatotilapia burtoni. BMC Genomics 2019; 20:699. [PMID: 31506062 PMCID: PMC6737626 DOI: 10.1186/s12864-019-6047-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 08/19/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Successful social behavior requires real-time integration of information about the environment, internal physiology, and past experience. The molecular substrates of this integration are poorly understood, but likely modulate neural plasticity and gene regulation. In the cichlid fish species Astatotilapia burtoni, male social status can shift rapidly depending on the environment, causing fast behavioral modifications and a cascade of changes in gene transcription, the brain, and the reproductive system. These changes can be permanent but are also reversible, implying the involvement of a robust but flexible mechanism that regulates plasticity based on internal and external conditions. One candidate mechanism is DNA methylation, which has been linked to social behavior in many species, including A. burtoni. But, the extent of its effects after A. burtoni social change were previously unknown. RESULTS We performed the first genome-wide search for DNA methylation patterns associated with social status in the brains of male A. burtoni, identifying hundreds of Differentially Methylated genomic Regions (DMRs) in dominant versus non-dominant fish. Most DMRs were inside genes supporting neural development, synapse function, and other processes relevant to neural plasticity, and DMRs could affect gene expression in multiple ways. DMR genes were more likely to be transcription factors, have a duplicate elsewhere in the genome, have an anti-sense lncRNA, and have more splice variants than other genes. Dozens of genes had multiple DMRs that were often seemingly positioned to regulate specific splice variants. CONCLUSIONS Our results revealed genome-wide effects of A. burtoni social status on DNA methylation in the brain and strongly suggest a role for methylation in modulating plasticity across multiple biological levels. They also suggest many novel hypotheses to address in mechanistic follow-up studies, and will be a rich resource for identifying the relationships between behavioral, neural, and transcriptional plasticity in the context of social status.
Collapse
Affiliation(s)
| | - Dan Xie
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Zhihai Ma
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305 USA
| | | |
Collapse
|
12
|
Horton BM, Ryder TB, Moore IT, Balakrishnan CN. Gene expression in the social behavior network of the wire-tailed manakin (Pipra filicauda) brain. GENES BRAIN AND BEHAVIOR 2019; 19:e12560. [PMID: 30756473 DOI: 10.1111/gbb.12560] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 01/22/2019] [Accepted: 02/10/2019] [Indexed: 12/16/2022]
Abstract
The vertebrate basal forebrain and midbrain contain a set of interconnected nuclei that control social behavior. Conserved anatomical structures and functions of these nuclei have now been documented among fish, amphibians, reptiles, birds and mammals, and these brain regions have come to be known as the vertebrate social behavior network (SBN). While it is known that nuclei (nodes) of the SBN are rich in steroid and neuropeptide activity linked to behavior, simultaneous variation in the expression of neuroendocrine genes among several SBN nuclei has not yet been described in detail. In this study, we use RNA-seq to profile gene expression across seven brain regions representing five nodes of the vertebrate SBN in a passerine bird, the wire-tailed manakin Pipra filicauda. Using weighted gene co-expression network analysis, we reconstructed sets of coregulated genes, showing striking patterns of variation in neuroendocrine gene expression across the SBN. We describe regional variation in gene networks comprising a broad set of hormone receptors, neuropeptides, steroidogenic enzymes, catecholamines and other neuroendocrine signaling molecules. Our findings show heterogeneous patterns of brain gene expression across nodes of the avian SBN and provide a foundation for future analyses of how the regulation of gene networks may mediate social behavior. These results highlight the importance of region-specific sampling in studies of the mechanisms of behavior.
Collapse
Affiliation(s)
- Brent M Horton
- Department of Biology, Millersville University, Millersville, Pennsylvania
| | - Thomas B Ryder
- Migratory Bird Center, Smithsonian Conservation Biology Institute, Front Royal, Virginia
| | - Ignacio T Moore
- Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia
| | | |
Collapse
|
13
|
Benowitz KM, McKinney EC, Cunningham CB, Moore AJ. Predictable gene expression related to behavioral variation in parenting. Behav Ecol 2018. [DOI: 10.1093/beheco/ary179] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
AbstractDifferential gene expression has been associated with transitions between behavioral states for a wide variety of organisms and behaviors. Heterochrony, genetic toolkits, and predictable pathways underlying behavioral transitions have been hypothesized to explain the relationship between transcription and behavioral changes. Less studied is how variation in transcription is related to variation within a behavior, and if the genes that are associated with this variation are predictable. Here, we adopt an evolutionary systems biology perspective to address 2 hypotheses relating differential expression to changes within and between behavior. We predicted fewer genes will be associated with variation within a behavior than with transitions between states, and the genes underlying variation within a behavior will represent a narrower set of biological functions. We tested for associations with parenting variation within a state with a set of genes known a priori to be differentially expressed (DE) between parenting states in the burying beetle Nicrophorus vespilloides. As predicted, we found that far fewer genes are DE related to variation within parenting. Moreover, these were not randomly distributed among categories or pathways in the gene set we tested and primarily involved genes associated with neurotransmission. We suggest that this means candidate genes will be easier to identify for associations within a behavior, as descriptions of behavioral state may include more than a single phenotype.
Collapse
Affiliation(s)
- Kyle M Benowitz
- Department of Entomology, University of Arizona, Forbes, Tucson, USA
| | | | | | - Allen J Moore
- Department of Entomology, University of Georgia, Athens, USA
| |
Collapse
|
14
|
Saltz JB, Bell AM, Flint J, Gomulkiewicz R, Hughes KA, Keagy J. Why does the magnitude of genotype-by-environment interaction vary? Ecol Evol 2018; 8:6342-6353. [PMID: 29988442 PMCID: PMC6024136 DOI: 10.1002/ece3.4128] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 03/27/2018] [Accepted: 03/15/2018] [Indexed: 12/15/2022] Open
Abstract
Genotype-by-environment interaction (G × E), that is, genetic variation in phenotypic plasticity, is a central concept in ecology and evolutionary biology. G×E has wide-ranging implications for trait development and for understanding how organisms will respond to environmental change. Although G × E has been extensively documented, its presence and magnitude vary dramatically across populations and traits. Despite this, we still know little about why G × E is so evident in some traits and populations, but minimal or absent in others. To encourage synthetic research in this area, we review diverse hypotheses for the underlying biological causes of variation in G × E. We extract common themes from these hypotheses to develop a more synthetic understanding of variation in G × E and suggest some important next steps.
Collapse
Affiliation(s)
| | - Alison M. Bell
- University of Illinois at Urbana‐ChampaignUrbanaIllinois
| | - Jonathan Flint
- University of California Los AngelesLos AngelesCalifornia
| | | | | | - Jason Keagy
- University of Illinois at Urbana‐ChampaignUrbanaIllinois
| |
Collapse
|
15
|
Cardoso SD, Gonçalves D, Goesmann A, Canário AVM, Oliveira RF. Temporal variation in brain transcriptome is associated with the expression of female mimicry as a sequential male alternative reproductive tactic in fish. Mol Ecol 2017; 27:789-803. [PMID: 29110358 DOI: 10.1111/mec.14408] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 08/23/2017] [Accepted: 09/13/2017] [Indexed: 01/21/2023]
Abstract
Distinct patterns of gene expression often underlie intra- and intersexual differences, and the study of this set of coregulated genes is essential to understand the emergence of complex behavioural phenotypes. Here, we describe the development of a de novo transcriptome and brain gene expression profiles of wild-caught peacock blenny, Salaria pavo, an intertidal fish with sex-role reversal in courtship behaviour (i.e., females are the courting sex) and sequential alternative reproductive tactics in males (i.e., larger and older nest-holder males and smaller and younger sneaker males occur). Sneakers mimic both female's courtship behaviour and nuptial coloration to get access to nests and sneak fertilizations, and later in life transition into nest-holder males. Thus, this species offers the unique opportunity to study how the regulation of gene expression can contribute to intersex phenotypes and to the sequential expression of male and female behavioural phenotypes by the same individual. We found that at the whole brain level, expression of the sneaker tactic was paralleled by broader and divergent gene expression when compared to either females or nest-holder males, which were more similar between themselves. When looking at sex-biased transcripts, sneaker males are intersex rather than being either nest-holder or female-like, and their transcriptome is simultaneously demasculinized for nest-holder-biased transcripts and feminized for female-biased transcripts. These results indicate that evolutionary changes in reproductive plasticity can be achieved through regulation of gene expression, and in particular by varying the magnitude of expression of sex-biased genes, throughout the lifetime of the same individual.
Collapse
Affiliation(s)
- Sara D Cardoso
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.,ISPA - Instituto Universitário, Lisbon, Portugal.,Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - David Gonçalves
- Institute of Science and Environment, University of Saint Joseph, Macau, China
| | - Alexander Goesmann
- Center for Biotechnology, CeBiTec, Bielefeld University, Bielefeld, Germany
| | | | - Rui F Oliveira
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.,ISPA - Instituto Universitário, Lisbon, Portugal.,Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal
| |
Collapse
|
16
|
Lee HJ, Schneider RF, Manousaki T, Kang JH, Lein E, Franchini P, Meyer A. Lateralized Feeding Behavior is Associated with Asymmetrical Neuroanatomy and Lateralized Gene Expressions in the Brain in Scale-Eating Cichlid Fish. Genome Biol Evol 2017; 9:3122-3136. [PMID: 29069363 PMCID: PMC5737854 DOI: 10.1093/gbe/evx218] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2017] [Indexed: 12/20/2022] Open
Abstract
Lateralized behavior ("handedness") is unusual, but consistently found across diverse animal lineages, including humans. It is thought to reflect brain anatomical and/or functional asymmetries, but its neuro-molecular mechanisms remain largely unknown. Lake Tanganyika scale-eating cichlid fish, Perissodus microlepis show pronounced asymmetry in their jaw morphology as well as handedness in feeding behavior-biting scales preferentially only from one or the other side of their victims. This makes them an ideal model in which to investigate potential laterality in neuroanatomy and transcription in the brain in relation to behavioral handedness. After determining behavioral handedness in P. microlepis (preferred attack side), we estimated the volume of the hemispheres of brain regions and captured their gene expression profiles. Our analyses revealed that the degree of behavioral handedness is mirrored at the level of neuroanatomical asymmetry, particularly in the tectum opticum. Transcriptome analyses showed that different brain regions (tectum opticum, telencephalon, hypothalamus, and cerebellum) display distinct expression patterns, potentially reflecting their developmental interrelationships. For numerous genes in each brain region, their extent of expression differences between hemispheres was found to be correlated with the degree of behavioral lateralization. Interestingly, the tectum opticum and telencephalon showed divergent biases on the direction of up- or down-regulation of the laterality candidate genes (e.g., grm2) in the hemispheres, highlighting the connection of handedness with gene expression profiles and the different roles of these brain regions. Hence, handedness in predation behavior may be caused by asymmetric size of brain hemispheres and also by lateralized gene expressions in the brain.
Collapse
Affiliation(s)
- Hyuk Je Lee
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
- Present address: Molecular Ecology and Evolution Laboratory, Department of Biological Science, Sangji University, Wonju, Korea
| | - Ralf F Schneider
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
| | - Tereza Manousaki
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
- Present address: Hellenic Centre for Marine Research (HCMR), Institute of Marine Biology, Biotechnology, and Aquaculture (IMBBC), Heraklion, Greece
| | - Ji Hyoun Kang
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
- Present address: Korean Entomological Institute, Korea University, Seoul, Korea
| | - Etienne Lein
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
- Present address: Department of Collective Behaviour, Max Planck Institute for Ornithology and University of Konstanz, Konstanz, Germany
| | - Paolo Franchini
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
| | - Axel Meyer
- Department of Biology, Lehrstuhl für Zoologie und Evolutionsbiologie, University of Konstanz, Konstanz, Germany
| |
Collapse
|
17
|
Benowitz KM, McKinney EC, Cunningham CB, Moore AJ. Relating quantitative variation within a behavior to variation in transcription. Evolution 2017; 71:1999-2009. [PMID: 28542920 DOI: 10.1111/evo.13273] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 05/27/2017] [Accepted: 04/21/2017] [Indexed: 12/14/2022]
Abstract
Many studies have shown that variation in transcription is associated with changes in behavioral state, or with variation within a state, but little has been done to address if the same genes are involved in both. Here, we investigate the transcriptional basis of variation in parental provisioning using two species of burying beetle, Nicrophorus orbicollis and Nicrophorus vespilloides. We used RNA-seq to compare transcription in parents that provided high amounts of provisioning behavior versus low amounts in males and females of each species. We found no overarching transcriptional patterns distinguishing high from low caring parents, and no informative transcripts that displayed particularly large expression differences in either sex. However, we did find subtler gene expression differences between high and low provisioning parents that are consistent across both sexes and species. Furthermore, we show that transcripts previously implicated in transitioning into parental care in N. vespilloides had high variance in the levels of transcription and were unusually likely to display differential expression between high and low provisioning parents. Thus, quantitative behavioral variation appears to reflect many transcriptional differences of small effect. Furthermore, the same transcripts required for the transition between behavioral states are also related to variation within a behavioral state.
Collapse
Affiliation(s)
- Kyle M Benowitz
- Department of Genetics, University of Georgia, Athens, Georgia, 30602
| | | | - Christopher B Cunningham
- Department of Genetics, University of Georgia, Athens, Georgia, 30602.,Department of Biosciences, Swansea University, Swansea, SA2 8PP, UK
| | - Allen J Moore
- Department of Genetics, University of Georgia, Athens, Georgia, 30602
| |
Collapse
|
18
|
Todd EV, Black MA, Gemmell NJ. The power and promise of RNA-seq in ecology and evolution. Mol Ecol 2016; 25:1224-41. [DOI: 10.1111/mec.13526] [Citation(s) in RCA: 149] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 12/05/2015] [Accepted: 12/27/2015] [Indexed: 12/14/2022]
Affiliation(s)
- Erica V. Todd
- Department of Anatomy; University of Otago; PO Box 913 Dunedin 9054 New Zealand
| | - Michael A. Black
- Department of Biochemistry; University of Otago; PO Box 56 Dunedin 9054 New Zealand
| | - Neil J. Gemmell
- Department of Anatomy; University of Otago; PO Box 913 Dunedin 9054 New Zealand
| |
Collapse
|
19
|
|
20
|
|
21
|
Bell AM, Dochtermann NA. Integrating molecular mechanisms into quantitative genetics to understand consistent individual differences in behavior. Curr Opin Behav Sci 2015; 6:111-114. [PMID: 26858967 DOI: 10.1016/j.cobeha.2015.10.014] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
It is now well appreciated that individual animals behave differently from one another and that individual differences in behaviors-personality differences-are maintained through time and across situations. Quantitative genetics has emerged as a conceptual basis for understanding the key ingredients of personality: (co)variation and plasticity. However, the results from quantitative genetic analyses are often divorced from underlying molecular or other proximate mechanisms. This disconnect has the potential to impede an integrated understanding of behavior and is a disconnect present throughout evolutionary ecology. Here we discuss some of the main conceptual connections between personality and quantitative genetics, the relationship of both with genomic tools, and areas that require integration. With its consideration of both trait variation and plasticity, the study of animal personality offers new opportunities to incorporate molecular mechanisms into both the trait partitioning and reaction norm frameworks provided by quantitative genetics.
Collapse
Affiliation(s)
- Alison M Bell
- School of Integrative Biology, Carl R. Woese Institute for Genomic Biology, Neuroscience Program and Program in Ecology, Evolution and Conservation
| | - Ned A Dochtermann
- Department of Biological Sciences, Dept. 2715, North Dakota State University, PO Box 6050, Fargo, ND 58108-6050
| |
Collapse
|
22
|
Moczek AP, Sears KE, Stollewerk A, Wittkopp PJ, Diggle P, Dworkin I, Ledon-Rettig C, Matus DQ, Roth S, Abouheif E, Brown FD, Chiu CH, Cohen CS, Tomaso AWD, Gilbert SF, Hall B, Love AC, Lyons DC, Sanger TJ, Smith J, Specht C, Vallejo-Marin M, Extavour CG. The significance and scope of evolutionary developmental biology: a vision for the 21st century. Evol Dev 2015; 17:198-219. [PMID: 25963198 DOI: 10.1111/ede.12125] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Evolutionary developmental biology (evo-devo) has undergone dramatic transformations since its emergence as a distinct discipline. This paper aims to highlight the scope, power, and future promise of evo-devo to transform and unify diverse aspects of biology. We articulate key questions at the core of eleven biological disciplines-from Evolution, Development, Paleontology, and Neurobiology to Cellular and Molecular Biology, Quantitative Genetics, Human Diseases, Ecology, Agriculture and Science Education, and lastly, Evolutionary Developmental Biology itself-and discuss why evo-devo is uniquely situated to substantially improve our ability to find meaningful answers to these fundamental questions. We posit that the tools, concepts, and ways of thinking developed by evo-devo have profound potential to advance, integrate, and unify biological sciences as well as inform policy decisions and illuminate science education. We look to the next generation of evolutionary developmental biologists to help shape this process as we confront the scientific challenges of the 21st century.
Collapse
Affiliation(s)
- Armin P Moczek
- Department of Biology, Indiana University, 915 East 3rd Street, Bloomington, IN 47405, USA
| | - Karen E Sears
- School of Integrative Biology and Institute for Genomic Biology, University of Illinois, 505 South Goodwin Avenue, Urbana, IL, 61801, USA
| | - Angelika Stollewerk
- School of Biological and Chemical Sciences, Queen Mary, University of London, Mile End Road, London, E1 4NS, UK
| | - Patricia J Wittkopp
- Department of Ecology and Evolutionary Biology, Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Pamela Diggle
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, 06269, USA
| | - Ian Dworkin
- Department of Biology, McMaster University, 1280 Main St. West Hamilton, Ontario, L8S 4K1, Canada
| | - Cristina Ledon-Rettig
- Department of Biology, Indiana University, 915 East 3rd Street, Bloomington, IN 47405, USA
| | - David Q Matus
- Department of Biochemistry and Cell Biology, Stony Brook University, 412 Life Sciences Building, Stony Brook, NY, 11794-5215, USA
| | - Siegfried Roth
- University of Cologne, Institute of Developmental Biology, Biocenter, Zülpicher Straße 47b, D-50674, Cologne, Germany
| | - Ehab Abouheif
- Department of Biology, McGill University, 1205 Avenue Docteur Penfield, Montréal Québec, H3A 1B1, Canada
| | - Federico D Brown
- Departamento de Zoologia, Instituto Biociências, Universidade de São Paulo, Rua do Matão, Travessa 14, no. 101, 05508-090, São Paulo, Brazil
| | - Chi-Hua Chiu
- Department of Biological Sciences, Kent State University, OH, USA
| | - C Sarah Cohen
- Biology Department, Romberg Tiburon Center for Environmental Studies, San Francisco State University, 3150 Paradise Drive, Tiburon, CA, 94920, USA
| | | | - Scott F Gilbert
- Department of Biology, Swarthmore College, Swarthmore, Pennsylvania 19081, USA and Biotechnology Institute, University of Helsinki, 00014, Helsinki, Finland
| | - Brian Hall
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, CA, B3H 4R2, USA
| | - Alan C Love
- Department of Philosophy, Minnesota Center for Philosophy of Science, University of Minnesota, USA
| | - Deirdre C Lyons
- Department of Biology, Duke University, Box 90338, Durham, NC, 27708, USA
| | - Thomas J Sanger
- Department of Molecular Genetics and Microbiology, University of Florida, P.O. Box 103610, Gainesville, FL, 32610, USA
| | - Joel Smith
- Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA, 02543, USA
| | - Chelsea Specht
- Plant and Microbial Biology, Department of Integrative Biology, University and Jepson Herbaria, University of California, Berkeley, CA, USA
| | - Mario Vallejo-Marin
- Biological and Environmental Sciences, University of Stirling, FK9 4LA, Scotland, UK
| | - Cassandra G Extavour
- Department of Organismic and Evolutionary Biology, Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, BioLabs 4103, Cambridge, MA, 02138, USA
| |
Collapse
|
23
|
Manfredini F, Brown MJF, Vergoz V, Oldroyd BP. RNA-sequencing elucidates the regulation of behavioural transitions associated with the mating process in honey bee queens. BMC Genomics 2015; 16:563. [PMID: 26227994 PMCID: PMC4521450 DOI: 10.1186/s12864-015-1750-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 07/04/2015] [Indexed: 02/07/2023] Open
Abstract
Background Mating is a complex process, which is frequently associated with behavioural and physiological changes. However, understanding of the genetic underpinnings of these changes is limited. Honey bees are both a model system in behavioural genomics, and the dominant managed pollinator of human crops; consequently understanding the mating process has both pure and applied value. We used next-generation transcriptomics to probe changes in gene expression in the brains of honey bee queens, as they transition from virgin to mated reproductive status. In addition, we used CO2-narcosis, which induces oviposition without mating, to isolate the process of reproductive maturation. Results The mating process produced significant changes in the expression of vision, chemo-reception, metabolic, and immune-related genes. Differential expression of these genes maps clearly onto known behavioural and physiological changes that occur during the transition from being a virgin queen to a newly-mated queen. A subset of these changes in gene expression were also detected in CO2-treated queens, as predicted from previous physiological studies. In addition, we compared our results to previous studies that used microarray techniques across a range of experimental time-points. Changes in expression of immune- and vision-related genes were common to all studies, supporting an involvement of these groups of genes in the mating process. Conclusions Our study is an important step in understanding the molecular mechanisms regulating post-mating behavioural transitions in a natural system. The weak overlap in patterns of gene expression with previous studies demonstrates the high sensitivity of genome-wide approaches. Thus, while we build on previous microarray studies that explored post-mating changes in honey bees, the broader experimental design, use of RNA-sequencing, and focus on Australian honey bees, which remain free from the devastating parasite Varroa destructor, in the current study, provide unique insights into the biology of the mating process in honey bees. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1750-7) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Fabio Manfredini
- School of Biological Sciences, Royal Holloway University of London, Egham, TW20 0EX, UK.
| | - Mark J F Brown
- School of Biological Sciences, Royal Holloway University of London, Egham, TW20 0EX, UK.
| | - Vanina Vergoz
- Behaviour and Genetics of Social Insects Laboratory, School of Biological Sciences A12, University of Sydney, Sydney, NSW 2006, Australia.
| | - Benjamin P Oldroyd
- Behaviour and Genetics of Social Insects Laboratory, School of Biological Sciences A12, University of Sydney, Sydney, NSW 2006, Australia.
| |
Collapse
|
24
|
Khamis AM, Hamilton AR, Medvedeva YA, Alam T, Alam I, Essack M, Umylny B, Jankovic BR, Naeger NL, Suzuki M, Harbers M, Robinson GE, Bajic VB. Insights into the Transcriptional Architecture of Behavioral Plasticity in the Honey Bee Apis mellifera. Sci Rep 2015; 5:11136. [PMID: 26073445 PMCID: PMC4466890 DOI: 10.1038/srep11136] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 05/01/2015] [Indexed: 12/30/2022] Open
Abstract
Honey bee colonies exhibit an age-related division of labor, with worker bees performing discrete sets of behaviors throughout their lifespan. These behavioral states are associated with distinct brain transcriptomic states, yet little is known about the regulatory mechanisms governing them. We used CAGEscan (a variant of the Cap Analysis of Gene Expression technique) for the first time to characterize the promoter regions of differentially expressed brain genes during two behavioral states (brood care (aka “nursing”) and foraging) and identified transcription factors (TFs) that may govern their expression. More than half of the differentially expressed TFs were associated with motifs enriched in the promoter regions of differentially expressed genes (DEGs), suggesting they are regulators of behavioral state. Strikingly, five TFs (nf-kb, egr, pax6, hairy, and clockwork orange) were predicted to co-regulate nearly half of the genes that were upregulated in foragers. Finally, differences in alternative TSS usage between nurses and foragers were detected upstream of 646 genes, whose functional analysis revealed enrichment for Gene Ontology terms associated with neural function and plasticity. This demonstrates for the first time that alternative TSSs are associated with stable differences in behavior, suggesting they may play a role in organizing behavioral state.
Collapse
Affiliation(s)
- Abdullah M Khamis
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Adam R Hamilton
- Departments of Entomology and Institute for Genomic Biology, Urbana, IL 61801; and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Yulia A Medvedeva
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Tanvir Alam
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Intikhab Alam
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Magbubah Essack
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Boris Umylny
- Lumenogix Inc., 2935 Rodeo Park Drive East, Santa Fe NM, 87505, USA
| | - Boris R Jankovic
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Nicholas L Naeger
- Departments of Entomology and Institute for Genomic Biology, Urbana, IL 61801; and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Makoto Suzuki
- DNAFORM Inc., Leading Venture Plaza-2, 75-1, Ono-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0046, Japan
| | - Matthias Harbers
- 1] DNAFORM Inc., Leading Venture Plaza-2, 75-1, Ono-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0046, Japan [2] RIKEN Center for Life Science Technologies, Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Gene E Robinson
- Departments of Entomology and Institute for Genomic Biology, Urbana, IL 61801; and Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801
| | - Vladimir B Bajic
- Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| |
Collapse
|
25
|
Maruska KP. Social Transitions Cause Rapid Behavioral and Neuroendocrine Changes. Integr Comp Biol 2015; 55:294-306. [PMID: 26037297 DOI: 10.1093/icb/icv057] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
In species that form dominance hierarchies, there are often opportunities for low-ranking individuals to challenge high-ranking ones, resulting in a rise or fall in social rank. How does an animal rapidly detect, process, and then respond to these social transitions? This article explores and summarizes how these social transitions can rapidly (within 24 h) impact an individual's behavior, physiology, and brain, using the African cichlid fish, Astatotilapia burtoni, as a model. Male A. burtoni form hierarchies in which a few brightly-colored dominant males defend territories and spawn with females, while the remaining males are subordinate, more drab-colored, do not hold a territory, and have minimal opportunities for reproduction. These social phenotypes are plastic and reversible, meaning that individual males may switch between dominant and subordinate status multiple times within a lifetime. When the social environment is manipulated to create males that either ascend (subordinate to dominant) or descend (dominant to subordinate) in rank, there are rapid changes in behavior, circulating hormones, and levels of gene expression in the brain that reflect the direction of transition. For example, within minutes, males ascending in status show bright coloration, a distinct eye-bar, increased dominance behaviors, activation of brain nuclei in the social behavior network, and higher levels of sex steroids in the plasma. Ascending males also show rapid changes in levels of neuropeptide and steroid receptors in the brain, as well as in the pituitary and testes. To further examine hormone-behavior relationships in this species during rapid social ascent, the present study also measured levels of testosterone, 11-ketotestosterone, estradiol, progestins, and cortisol in the plasma during the first week of social ascent and tested for correlations with behavior. Plasma levels of all steroids were rapidly increased at 30 min after social ascent, but were not correlated with behavior during the initial rise in rank, suggesting that behavior is dissociated from endocrine status. These changes during social ascent are then compared with our current knowledge about males descending in rank, who rapidly show faded coloration, decreased dominance behaviors, increased subordinate behaviors, and higher circulating levels of cortisol. Collectively, this work highlights how the perception of similar social cues that are opposite in value are rapidly translated into adaptive behavioral and neuroendocrine changes that promote survival and reproductive fitness. Finally, future directions are proposed to better understand the mechanisms that govern these rapid changes in social position.
Collapse
Affiliation(s)
- Karen P Maruska
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg, Baton Rouge, LA 70803, USA
| |
Collapse
|
26
|
Karikari TK, Aleksic J. Neurogenomics: An opportunity to integrate neuroscience, genomics and bioinformatics research in Africa. Appl Transl Genom 2015; 5:3-10. [PMID: 26937352 PMCID: PMC4745356 DOI: 10.1016/j.atg.2015.06.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 05/22/2015] [Accepted: 06/23/2015] [Indexed: 02/02/2023]
Abstract
Modern genomic approaches have made enormous contributions to improving our understanding of the function, development and evolution of the nervous system, and the diversity within and between species. However, most of these research advances have been recorded in countries with advanced scientific resources and funding support systems. On the contrary, little is known about, for example, the possible interplay between different genes, non-coding elements and environmental factors in modulating neurological diseases among populations in low-income countries, including many African countries. The unique ancestry of African populations suggests that improved inclusion of these populations in neuroscience-related genomic studies would significantly help to identify novel factors that might shape the future of neuroscience research and neurological healthcare. This perspective is strongly supported by the recent identification that diseased individuals and their kindred from specific sub-Saharan African populations lack common neurological disease-associated genetic mutations. This indicates that there may be population-specific causes of neurological diseases, necessitating further investigations into the contribution of additional, presently-unknown genomic factors. Here, we discuss how the development of neurogenomics research in Africa would help to elucidate disease-related genomic variants, and also provide a good basis to develop more effective therapies. Furthermore, neurogenomics would harness African scientists' expertise in neuroscience, genomics and bioinformatics to extend our understanding of the neural basis of behaviour, development and evolution.
Collapse
Affiliation(s)
- Thomas K. Karikari
- Neuroscience, School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
- Midlands Integrative Biosciences Training Partnership, University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Jelena Aleksic
- Wellcome Trust — Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 1QR, United Kingdom
| |
Collapse
|
27
|
Wilkinson GS, Breden F, Mank JE, Ritchie MG, Higginson AD, Radwan J, Jaquiery J, Salzburger W, Arriero E, Barribeau SM, Phillips PC, Renn SCP, Rowe L. The locus of sexual selection: moving sexual selection studies into the post-genomics era. J Evol Biol 2015; 28:739-55. [PMID: 25789690 DOI: 10.1111/jeb.12621] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Revised: 03/04/2015] [Accepted: 03/06/2015] [Indexed: 02/07/2023]
Abstract
Sexual selection drives fundamental evolutionary processes such as trait elaboration and speciation. Despite this importance, there are surprisingly few examples of genes unequivocally responsible for variation in sexually selected phenotypes. This lack of information inhibits our ability to predict phenotypic change due to universal behaviours, such as fighting over mates and mate choice. Here, we discuss reasons for this apparent gap and provide recommendations for how it can be overcome by adopting contemporary genomic methods, exploiting underutilized taxa that may be ideal for detecting the effects of sexual selection and adopting appropriate experimental paradigms. Identifying genes that determine variation in sexually selected traits has the potential to improve theoretical models and reveal whether the genetic changes underlying phenotypic novelty utilize common or unique molecular mechanisms. Such a genomic approach to sexual selection will help answer questions in the evolution of sexually selected phenotypes that were first asked by Darwin and can furthermore serve as a model for the application of genomics in all areas of evolutionary biology.
Collapse
Affiliation(s)
- G S Wilkinson
- Department of Biology, University of Maryland, College Park, MD, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
28
|
Simões JM, Barata EN, Harris RM, O'Connell LA, Hofmann HA, Oliveira RF. Social odors conveying dominance and reproductive information induce rapid physiological and neuromolecular changes in a cichlid fish. BMC Genomics 2015; 16:114. [PMID: 25766511 PMCID: PMC4344806 DOI: 10.1186/s12864-015-1255-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Accepted: 01/19/2015] [Indexed: 01/01/2023] Open
Abstract
Background Social plasticity is a pervasive feature of animal behavior. Animals adjust the expression of their social behavior to the daily changes in social life and to transitions between life-history stages, and this ability has an impact in their Darwinian fitness. This behavioral plasticity may be achieved either by rewiring or by biochemically switching nodes of the neural network underlying social behavior in response to perceived social information. Independent of the proximate mechanisms, at the neuromolecular level social plasticity relies on the regulation of gene expression, such that different neurogenomic states emerge in response to different social stimuli and the switches between states are orchestrated by signaling pathways that interface the social environment and the genotype. Here, we test this hypothesis by characterizing the changes in the brain profile of gene expression in response to social odors in the Mozambique Tilapia, Oreochromis mossambicus. This species has a rich repertoire of social behaviors during which both visual and chemical information are conveyed to conspecifics. Specifically, dominant males increase their urination frequency during agonist encounters and during courtship to convey chemical information reflecting their dominance status. Results We recorded electro-olfactograms to test the extent to which the olfactory epithelium can discriminate between olfactory information from dominant and subordinate males as well as from pre- and post-spawning females. We then performed a genome-scale gene expression analysis of the olfactory bulb and the olfactory cortex homolog in order to identify the neuromolecular systems involved in processing these social stimuli. Conclusions Our results show that different olfactory stimuli from conspecifics’ have a major impact in the brain transcriptome, with different chemical social cues eliciting specific patterns of gene expression in the brain. These results confirm the role of rapid changes in gene expression in the brain as a genomic mechanism underlying behavioral plasticity and reinforce the idea of an extensive transcriptional plasticity of cichlid genomes, especially in response to rapid changes in their social environment. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1255-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- José M Simões
- Unidade de Investigação em Eco-Etologia, ISPA - Instituto Universitário, Rua Jardim do Tabaco 34, 1149-041, Lisbon, Portugal. .,Integrative Behavioural Biology Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal. .,Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal.
| | - Eduardo N Barata
- CCMAR-CIMAR Laboratório Associado, Universidade do Algarve, Campus de Gambelas, 8005-139, Faro, Portugal. .,Departamento de Biologia, Universidade de Évora, Apartado 94, 7002-554, Évora, Portugal.
| | - Rayna M Harris
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, USA. .,Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
| | - Lauren A O'Connell
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, USA. .,Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA. .,Current address: FAS Center for Systems Biology, Harvard University, Cambridge, MA, USA.
| | - Hans A Hofmann
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, USA. .,Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA. .,Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA.
| | - Rui F Oliveira
- Unidade de Investigação em Eco-Etologia, ISPA - Instituto Universitário, Rua Jardim do Tabaco 34, 1149-041, Lisbon, Portugal. .,Integrative Behavioural Biology Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal. .,Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal.
| |
Collapse
|
29
|
Hofmann HA, Beery AK, Blumstein DT, Couzin ID, Earley RL, Hayes LD, Hurd PL, Lacey EA, Phelps SM, Solomon NG, Taborsky M, Young LJ, Rubenstein DR. An evolutionary framework for studying mechanisms of social behavior. Trends Ecol Evol 2014; 29:581-9. [DOI: 10.1016/j.tree.2014.07.008] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2013] [Revised: 07/13/2014] [Accepted: 07/14/2014] [Indexed: 12/31/2022]
|