Molecular signatures of plastic phenotypes in two eusocial insect species with simple societies

Significance In eusocial insect societies, such as ants and some bees and wasps, phenotypes are highly plastic, generating alternative phenotypes (queens and workers) from the same genome. The greatest plasticity is found in simple insect societies, in which individuals can switch between phenotypes as adults. The genomic, transcriptional, and epigenetic underpinnings of such plasticity are largely unknown. In contrast to the complex societies of the honeybee, we find that simple insect societies lack distinct transcriptional differentiation between phenotypes and coherently patterned DNA methylomes. Instead, alternative phenotypes are largely defined by subtle transcriptional network organization. These traits may facilitate genomic plasticity. These insights and resources will stimulate new approaches and hypotheses that will help to unravel the genomic processes that create phenotypic plasticity. Phenotypic plasticity is important in adaptation and shapes the evolution of organisms. However, we understand little about what aspects of the genome are important in facilitating plasticity. Eusocial insect societies produce plastic phenotypes from the same genome, as reproductives (queens) and nonreproductives (workers). The greatest plasticity is found in the simple eusocial insect societies in which individuals retain the ability to switch between reproductive and nonreproductive phenotypes as adults. We lack comprehensive data on the molecular basis of plastic phenotypes. Here, we sequenced genomes, microRNAs (miRNAs), and multiple transcriptomes and methylomes from individual brains in a wasp (Polistes canadensis) and an ant (Dinoponera quadriceps) that live in simple eusocial societies. In both species, we found few differences between phenotypes at the transcriptional level, with little functional specialization, and no evidence that phenotype-specific gene expression is driven by DNA methylation or miRNAs. Instead, phenotypic differentiation was defined more subtly by nonrandom transcriptional network organization, with roles in these networks for both conserved and taxon-restricted genes. The general lack of highly methylated regions or methylome patterning in both species may be an important mechanism for achieving plasticity among phenotypes during adulthood. These findings define previously unidentified hypotheses on the genomic processes that facilitate plasticity and suggest that the molecular hallmarks of social behavior are likely to differ with the level of social complexity.

[1]  M. Ramonienė,et al.  Comparison , 2019, Encyclopedia of Biometrics.

[2]  Seán G. Brady,et al.  How Do Genomes Create Novel Phenotypes? Insights from the Loss of the Worker Caste in Ant Social Parasites , 2015, Molecular biology and evolution.

[3]  A. Toth,et al.  Climbing the social ladder: the molecular evolution of sociality. , 2015, Trends in ecology & evolution.

[4]  Robert M. Waterhouse,et al.  Genomic signatures of evolutionary transitions from solitary to group living , 2015, Science.

[5]  A. Toth,et al.  Comparative transcriptomics of convergent evolution: different genes but conserved pathways underlie caste phenotypes across lineages of eusocial insects. , 2015, Molecular biology and evolution.

[6]  S. Balasubramanian,et al.  5-Hydroxymethylcytosine is a predominantly stable DNA modification. , 2014, Nature chemistry.

[7]  Martin J. Aryee,et al.  Coverage recommendations for methylation analysis by whole genome bisulfite sequencing , 2014, Nature Methods.

[8]  D. Reinberg,et al.  Eusocial insects as emerging models for behavioural epigenetics , 2014, Nature Reviews Genetics.

[9]  Robert Kucharski,et al.  Insights into DNA hydroxymethylation in the honeybee from in-depth analyses of TET dioxygenase , 2014, Open Biology.

[10]  Eamonn B. Mallon,et al.  Methylation and worker reproduction in the bumble-bee (Bombus terrestris) , 2014, Proceedings of the Royal Society B: Biological Sciences.

[11]  C. Schlichting,et al.  PHENOTYPIC PLASTICITY AND EPIGENETIC MARKING: AN ASSESSMENT OF EVIDENCE FOR GENETIC ACCOMMODATION , 2014, Evolution; international journal of organic evolution.

[12]  Philip C J Donoghue,et al.  Evolutionary history of plant microRNAs. , 2014, Trends in plant science.

[13]  E. Tibbetts,et al.  Polistes paper wasps: a model genus for the study of social dominance hierarchies , 2014, Insectes Sociaux.

[14]  S. Sumner The importance of genomic novelty in social evolution , 2014, Molecular ecology.

[15]  Thomas Rosleff Sörensen,et al.  The genome of the recently domesticated crop plant sugar beet (Beta vulgaris) , 2013, Nature.

[16]  Audrey Nailor,et al.  miRNAs: small genes with big potential in metazoan phylogenetics. , 2013, Molecular biology and evolution.

[17]  Brian R Johnson,et al.  Phylogenomics Resolves Evolutionary Relationships among Ants, Bees, and Wasps , 2013, Current Biology.

[18]  David L. Stern,et al.  The genetic causes of convergent evolution , 2013, Nature Reviews Genetics.

[19]  Andrew G. Clark,et al.  Function and Evolution of DNA Methylation in Nasonia vitripennis , 2013, PLoS genetics.

[20]  Etsuko N. Moriyama,et al.  Comparative studies of differential gene calling using RNA-Seq data , 2013, BMC Bioinformatics.

[21]  Radhika S. Khetani,et al.  Intronic Non-CG DNA hydroxymethylation and alternative mRNA splicing in honey bees , 2013, BMC Genomics.

[22]  S. E. Reece,et al.  Adaptive noise , 2013, Proceedings of the Royal Society B: Biological Sciences.

[23]  M. Long,et al.  New genes as drivers of phenotypic evolution , 2013, Nature Reviews Genetics.

[24]  P. Provero,et al.  Genome-wide signatures of convergent evolution in echolocating mammals , 2013, Nature.

[25]  Christine G. Elsik,et al.  RNA interference knockdown of DNA methyl-transferase 3 affects gene alternative splicing in the honey bee , 2013, Proceedings of the National Academy of Sciences.

[26]  Chris A Schmidt,et al.  Molecular phylogenetics of ponerine ants (Hymenoptera: Formicidae: Ponerinae). , 2013, Zootaxa.

[27]  Erich Bornberg-Bauer,et al.  Social insect genomes exhibit dramatic evolution in gene composition and regulation while preserving regulatory features linked to sociality , 2013, Genome research.

[28]  M. Goodisman,et al.  Patterning and Regulatory Associations of DNA Methylation Are Mirrored by Histone Modifications in Insects , 2013, Genome biology and evolution.

[29]  Claire Asher,et al.  Division of labour and risk taking in the dinosaur ant, Dinoponera quadriceps (Hymenoptera: Formicidae) , 2013 .

[30]  Andreas Heger,et al.  Epigenetic conservation at gene regulatory elements revealed by non-methylated DNA profiling in seven vertebrates , 2013, eLife.

[31]  Toni Gabaldón,et al.  Transcriptome analyses of primitively eusocial wasps reveal novel insights into the evolution of sociality and the origin of alternative phenotypes , 2013, Genome Biology.

[32]  E. Bornberg-Bauer,et al.  Mechanisms and Dynamics of Orphan Gene Emergence in Insect Genomes , 2013, Genome biology and evolution.

[33]  Hui Xiang,et al.  Genome-wide and Caste-Specific DNA Methylomes of the Ants Camponotus floridanus and Harpegnathos saltator , 2012, Current Biology.

[34]  K. Hansen,et al.  BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions , 2012, Genome Biology.

[35]  K. Peterson,et al.  Do miRNAs have a deep evolutionary history? , 2012, BioEssays : news and reviews in molecular, cellular and developmental biology.

[36]  Andrew P. Feinberg,et al.  Reversible switching between epigenetic states in honeybee behavioral subcastes , 2012, Nature Neuroscience.

[37]  Jason J. Corneveaux,et al.  Genome-wide association between DNA methylation and alternative splicing in an invertebrate , 2012, BMC Genomics.

[38]  Nadav S. Bar,et al.  Landscape of transcription in human cells , 2012, Nature.

[39]  Christopher D. Smith,et al.  Patterns of DNA Methylation in Development, Division of Labor and Hybridization in an Ant with Genetic Caste Determination , 2012, PloS one.

[40]  B. Hunt,et al.  The evolution of invertebrate gene body methylation. , 2012, Molecular biology and evolution.

[41]  Y. Ben-Shahar,et al.  Behavioral plasticity in honey bees is associated with differences in brain microRNA transcriptome , 2012, Genes, brain, and behavior.

[42]  R. E. Page,et al.  New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior , 2012, Proceedings of the National Academy of Sciences.

[43]  W. Reik,et al.  Shifting behaviour: epigenetic reprogramming in eusocial insects. , 2012, Current opinion in cell biology.

[44]  S. Zhang,et al.  Next‐generation small RNA sequencing for microRNAs profiling in Apis mellifera: comparison between nurses and foragers , 2012, Insect molecular biology.

[45]  G. Robinson,et al.  DNA methylation dynamics, metabolic fluxes, gene splicing, and alternative phenotypes in honey bees , 2012, Proceedings of the National Academy of Sciences.

[46]  R. Kucharski,et al.  DNA methylation changes elicited by social stimuli in the brains of worker honey bees , 2012, Genes, brain, and behavior.

[47]  A. Conesa,et al.  Differential expression in RNA-seq: a matter of depth. , 2011, Genome research.

[48]  S. Roberts,et al.  Is There a Relationship between DNA Methylation and Phenotypic Plasticity in Invertebrates? , 2011, Front. Physio..

[49]  James A. Eddy,et al.  Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states , 2011, Proceedings of the National Academy of Sciences.

[50]  R. Moritz,et al.  Alternative splicing of a single transcription factor drives selfish reproductive behavior in honeybee workers (Apis mellifera) , 2011, Proceedings of the National Academy of Sciences.

[51]  A. Bird,et al.  CpG islands and the regulation of transcription. , 2011, Genes & development.

[52]  Z. Huang,et al.  Diet and Cell Size Both Affect Queen-Worker Differentiation through DNA Methylation in Honey Bees (Apis mellifera, Apidae) , 2011, PloS one.

[53]  L. Keller,et al.  Evolution of gene expression in fire ants: the effects of developmental stage, caste, and species. , 2011, Molecular biology and evolution.

[54]  D. Patel,et al.  Structure of DNMT1-DNA Complex Reveals a Role for Autoinhibition in Maintenance DNA Methylation , 2011, Science.

[55]  S. Su,et al.  High-abundance mRNAs in Apis mellifera: comparison between nurses and foragers. , 2011, Journal of insect physiology.

[56]  Salvador Capella-Gutiérrez,et al.  PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralogy predictions , 2010, Nucleic Acids Res..

[57]  Ben Lehner Conflict between Noise and Plasticity in Yeast , 2010, PLoS genetics.

[58]  S. Forêt,et al.  The Honey Bee Epigenomes: Differential Methylation of Brain DNA in Queens and Workers , 2010, PLoS biology.

[59]  M. Goodisman,et al.  Functional Conservation of DNA Methylation in the Pea Aphid and the Honeybee , 2010, Genome biology and evolution.

[60]  C. Schlichting,et al.  Phenotypic plasticity's impacts on diversification and speciation. , 2010, Trends in ecology & evolution.

[61]  S. Sumner,et al.  Reproductive constraints, direct fitness and indirect fitness benefits explain helping behaviour in the primitively eusocial wasp, Polistes canadensis , 2010, Proceedings of the Royal Society B: Biological Sciences.

[62]  D. Zilberman,et al.  Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation , 2010, Science.

[63]  J. Carpenter,et al.  Simultaneous analysis and the origin of eusociality in the Vespidae (Insecta: Hymenoptera) , 2010, Arthropod Systematics & Phylogeny.

[64]  Davis J. McCarthy,et al.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..

[65]  M. Goodisman,et al.  DNA methylation is widespread and associated with differential gene expression in castes of the honeybee, Apis mellifera , 2009, Proceedings of the National Academy of Sciences.

[66]  Madeleine Beekman,et al.  Ancestral Monogamy Shows Kin Selection Is Key to the Evolution of Eusociality , 2008, Science.

[67]  Claude Desplan,et al.  Stochasticity and Cell Fate , 2008, Science.

[68]  J. François,et al.  Cell-to-Cell Stochastic Variation in Gene Expression Is a Complex Genetic Trait , 2008, PLoS genetics.

[69]  R. Kucharski,et al.  Nutritional Control of Reproductive Status in Honeybees via DNA Methylation , 2008, Science.

[70]  M. Winston,et al.  Genome‐wide analysis reveals differences in brain gene expression patterns associated with caste and reproductive status in honey bees (Apis mellifera) , 2007, Molecular ecology.

[71]  Gene E Robinson,et al.  Evo-devo and the evolution of social behavior. , 2007, Trends in genetics : TIG.

[72]  N. Isaac,et al.  Radio-Tagging Technology Reveals Extreme Nest-Drifting Behavior in a Eusocial Insect , 2007, Current Biology.

[73]  Burkhard Morgenstern,et al.  AUGUSTUS: ab initio prediction of alternative transcripts , 2006, Nucleic Acids Res..

[74]  M. Pigliucci,et al.  Phenotypic plasticity and evolution by genetic assimilation , 2006, Journal of Experimental Biology.

[75]  J. Derisi,et al.  Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise , 2006, Nature.

[76]  J. Raser,et al.  Noise in Gene Expression: Origins, Consequences, and Control , 2005, Science.

[77]  P. Gowaty Developmental Plasticity and Evolution Mary Jane West-Eberhard , 2005, Animal Behaviour.

[78]  T. Monnin,et al.  Dominance hierarchy and reproductive conflicts among subordinates in a monogynous queenless ant , 1999 .

[79]  A. Bird DNA methylation and the frequency of CpG in animal DNA. , 1980, Nucleic acids research.

[80]  E. Wilson,et al.  Caste and ecology in the social insects. , 1979, Monographs in population biology.

[81]  Alexander S. Mikheyev Figures and figure supplements Genes associated with ant social behavior show distinct transcriptional and evolutionary patterns , 2015 .

[82]  P. Wittkopp Evolution of Gene Expression , 2013 .

[83]  X. Zheng,et al.  COMPARATIVE STUDIES OF DIFFERENTIAL GENE CALLING METHODS FOR RNA-SEQ DATA , 2012 .

[84]  David Reznick,et al.  Convergence and parallelism reconsidered: what have we learned about the genetics of adaptation? , 2008, Trends in ecology & evolution.

[85]  J. Gusenleitner Vespidae (Insecta: Hymenoptera) , 2008 .

[86]  R. Guigó,et al.  Comparative gene prediction in human and mouse. , 2003, Genome research.

[87]  Daiya Takai,et al.  The CpG Island Searcher: A new WWW resource , 2003, Silico Biol..

[88]  Xianrang Song,et al.  Maturation of a central , 1996 .

[89]  W. Wcislo Queen Number and Sociality in Insects , 1995 .