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Philosophical Transactions of the Royal Society B: Biological Sciences logoLink to Philosophical Transactions of the Royal Society B: Biological Sciences
. 2021 Apr 19;376(1826):20200115. doi: 10.1098/rstb.2020.0115

The role of epigenetics, particularly DNA methylation, in the evolution of caste in insect societies

Benjamin P Oldroyd 1,2,, Boris Yagound 1
PMCID: PMC8059649  PMID: 33866805

Abstract

Eusocial insects can be defined as those that live in colonies and have distinct queens and workers. For most species, queens and workers arise from a common genome, and so caste-specific developmental trajectories must arise from epigenetic processes. In this review, we examine the epigenetic mechanisms that may be involved in the regulation of caste dimorphism. Early work on honeybees suggested that DNA methylation plays a causal role in the divergent development of queen and worker castes. This view has now been challenged by studies that did not find consistent associations between methylation and caste in honeybees and other species. Evidence for the involvement of methylation in modulating behaviour of adult workers is also inconsistent. Thus, the functional significance of DNA methylation in social insects remains equivocal.

This article is part of the theme issue ‘How does epigenetics influence the course of evolution?’

Keywords: DNA methylation, caste determination, epigenetics, polyphenism

1. Introduction

Eusocial insects live in colonies with distinct queen and worker castes [1]. Queens produce most or all of the eggs, while workers are either totally or partially sterile. Workers reproduce either vicariously by rearing their sisters and brothers—the offspring of the resident queen—or, rarely, directly [2]. All termites (Blattaria: Isoptera) [3] and ants (Hymenoptera) [4] are eusocial, although some species have secondarily lost their worker or queen caste. A few bee and wasp (Hymenoptera) genera are eusocial [5], as are a few ambrosia beetles (Coleoptera) [6] and gall-forming thrips (Thysanoptera) [7].

Despite their importance and inherent biological interest, the very existence of social insects remains an evolutionary puzzle. First, their morphologically distinct castes arise from genetically identical eggs (polyphenism). How can alternate developmental trajectories from alike genomes stably result in such behaviourally and morphologically distinct creatures as a massive and hyper-fertile queen, a soldier army ant and a minor worker? Second, many insect workers change behaviourally over their lifetime, flexibly engaging in new roles as they mature. For example, a honeybee worker begins life engaged in nest-bound tasks such as cell cleaning and feeding larvae, and later progresses to foraging [8,9]. How these changes are orchestrated at the individual and colony level has not been fully elucidated. These proximate questions also need to be resolved in the evolutionary context: how did behavioural and morphological castes evolve?

In the literature of insect colonies, ‘caste’ has several meanings, which we need to clarify. In this review, we will recognize three kinds of caste: (i) morphologically distinct queens and workers of the ‘highly’ eusocial insects like termites, honeybees, stingless bees, vespine wasps and most ants. In these species, queens and workers arise as a consequence of distinct developmental trajectories that are irreversible. We refer to these castes as queen–worker (Q-W) castes; (ii) in some species, there are morphologically specialized workers such as soldier ants and termites that are larger (especially in the head) and more armoured than normal workers [10,11]. These we refer to as worker subcastes; and (iii) finally, in species with only one worker caste, there are often behavioural castes such as reproductive and non-reproductive workers, or nurses and foragers. Behavioural castes are generally reversible and are morphologically identical. We refer to these as behavioural castes.

Our aim in this review is to discuss whether epigenetic mechanisms, particularly DNA methylation (hereafter 'methylation’), has played a role in the evolution of castes in social insects. In a companion paper, we discuss epigenetic inheritance in social insects, and its possible role in genomic conflict.

2. Queens and workers come from the same genome, so differential development must have an epigenetic basis

An animal's body is usually generated from a single cell, the zygote, and all of the somatic cells of the animal are a clonal lineage. The course of development is, therefore, dependent on epigenetic processes that permanently shut down some genes at particular time points, while allowing others to be expressed. These epigenetic changes are then faithfully transmitted to daughter cells, leading to the development of tissues and organs [12]. Similarly, queens, kings and workers, and the specialized worker castes of ants and termites, arise from more or less identical genomes. For the most part, any egg can develop as a queen/king or a worker, or, where they exist, morphologically specialized worker subcastes [13].

In termites, a combination of inhibitory factors produced by the king and queen, together with seasonal factors, seem to determine whether nymphs of both sexes mature as workers or as future reproductives [14,15]. In contrast with termites, in most Hymenopteran species, the direct cause of differential development is nutritional [16]. Queen-destined larvae are fed more [17] and different food [1821], to worker-destined larvae. In some instances, these factors are thought to result in different reproductive and morphological castes via perturbations to the insulin-signalling and other growth-related pathways [2224].

3. DNA methylation as a proposed mechanism underlying queen/worker polyphenism

Methylation involves the attachment of a methyl group to cytosines, often in a CG/GC (referred to as CpG) context so that the pair of adjacent cytosines across strands are both methylated [25]. Methylation is evolutionarily conserved from bacteria to eukaryotes [26,27]. In insects, methylation is restricted to gene bodies, especially at intron–exon boundaries and at the 5′ end of genes [25,28,29]. There is a strong association between gene function and the degree of methylation across invertebrates, with ‘housekeeping’ genes showing the highest levels of methylation [30] and highly methylated genes tending to show greater sequence conservation across diverse taxa [3032]. This suggests that gene body methylation has function, though it is unclear what those functions may be. One proposed function is that methylation is involved in differential gene splicing and in regulation of expression [3338].

Methylation is mediated by DNA methyl-transferase (Dnmt) enzymes. Dnmt1 is thought to be responsible for the faithful transmission of methylation states across cell divisions, while Dnmt3 is responsible for de novo methylation [39]. Most social insect species examined have methylation, as evidenced by the presence of Dnmt-coding genes in their genomes, and evidence of methylation in their DNA [4042]. Therefore, methylation could potentially be involved in regulating differential caste development and behaviour in social insects.

In a landmark paper, Kucharski et al. [43] suggested that methylation is the primary mechanism by which Q-W dimorphism is orchestrated in honeybees. They proposed that the default developmental pathway is the queen phenotype, and that the more Spartan diet of workers (less volume, lower fatty acid content and, particularly, lower carbohydrate content) relative to queen larvae [19], leads to the methylation of genes whose expression is then changed to generate worker morphology. Support for this hypothesis was lent by the demonstration that the knockdown of expression of Dnmt3 in young larvae (i.e. those that are capable of either developmental trajectory), using RNA interference, led to the development of the queen phenotype. This, it was argued, is a direct result of reduced methylation.

Following the Kucharski et al. [43] paper, several studies reported differences in methylation patterns between queen and worker castes in bees, ants and termites (table 1). In the honeybee, eight studies have supported such differences, whereas three did not. One of the studies that did not show differences was based on methylation-sensitive restriction fragment length polymorphisms [47], a technique that has low sensitivity. Another did not directly compare methylation patterns across castes [51], but the other [46] used gold-standard genomic procedures.

Table 1.

Studies investigating differences in DNA methylation patterns between queen and worker castes in social insects. (WGBS, whole-genome sequencing of bisulfite-treated DNA; MeDIP, methylated DNA immunoprecipitation-sequencing; MSRFLP, methylation-sensitive restriction fragment polymorphisms; RRBS, reduced representation bisulfite sequencing.)

species queens and workers strongly morphologically divergent? differences found kind of study biological replication reference year
honeybees Apis mellifera yes yes bisulfite sequencing of a single gene, experimental manipulation n/a [43] 2008
Apis mellifera yes yes bioinformatic study of existing datasets. Genes that are differentially expressed between queens and workers show evidence of methylation over evolutionary time four ‘caste specific’ genes showed differential methylation [44] 2009
Apis mellifera yes yes WGBS of 50 pooled queen brains and 50 pooled worker brains none at individual level [45] 2010
Apis mellifera yes no WGBS and an array-based system five adult queens and workers [46] 2012
Apis mellifera yes yes WGBS of 96 pooled queen and 96 pooled worker larval heads none at individual level [36] 2012
Apis mellifera yes no MSRFLP five each: adult and pupal queens and workers [47] 2013
Apis mellifera yes yes MeDIP nil at three ages [48] 2013
Apis mellifera yes yes amplicon bisulfite sequencing of two genes three sets of five brains from queens and workers [49] 2017
Apis mellifera yes yes MeDIP pools of 10 larvae, three queen and three worker [50] 2017
Apis mellifera yes no, but no direct comparison across castes WGBS and RNA sequencing two biological replicates and multiple tissues [51] 2019
Apis mellifera yes yes WGBS of queen-destined and worker-destined larvae at three ages tree replicate colonies but samples pooled across colonies [52] 2020
bumblebee Bombus impatiens size only no MSRFLP five each: adult and pupal queens and workers [47] 2013
ants Camponotus floridanus yes yes WGBS of whole individuals two biological replicates but queens and workers harvested from different colonies [37] 2012
Harpegnathos saltator minimal yes WGBS of whole individuals two biological replicates [37] 2012
Pogonomyrmex barbatus yes yes MSRFLP adult virgin queens (n = 9) versus workers (72) [53] 2012
Ooceraea biroi no no (between reproductive phases) WGBS of adult brains four replicates of pools of 20 brains [54] 2016
Dinoponera quadriceps no no (between gamergate and worker) WGBS of adult brains three biological replicates [55,56] 2015
Formica exsecta yes yes RRBS comparisons of 5–7 old and young workers and queens randomly selected from 19 colonies [57] 2019
wasps Dolichovespula maculata size only no MSRFLP five each: adult and pupal queens and workers [47] 2013
Polistes dominula no yes MSRFLP five each: adult and pupal queens and workers [47] 2013
Polistes canadensis no no WGBS of adult brains three biological replicates [55,56] 2015
termites Zootermopsis nevadensis yes yes WGBS of male and female workers and alates replicate individuals from a single colony [33] 2016

There is a trend, not always consistent, that in studies which have shown differentially methylated genes, methylation is higher in workers than in queens. Gene ontology studies of honeybee genes that are differentially methylated show that they tend to be related to metabolism regulators [36,44,58]. This finding points to a mechanism whereby the reduced feeding received by worker-destined larvae causes an increased level of methylation, and the development of the worker phenotype [59]. The most recent study of methylation levels between queen- and worker-destined larvae showed divergent methylation levels at 3 and 4 days of age, before equalizing at day 5.

4. Criticisms of the ‘methylation is key to queen–worker caste polyphenism’ paradigm

If methylation is key to Q–W caste differentiation in social insects, we can make three predictions: (i) methylation patterns should consistently differ between castes particularly at the larval/nymphal stage when differential development begins; (ii) methylation patterns should be in the same direction for the same genes across all or most individuals of a particular caste. For example, if we find that a gene is heavily methylated in workers and under-methylated in queens, suggesting that methylation of this particular gene is causal of caste differentiation, we would not expect too many exceptions to this. In particular, we would not expect to find queens in which this target gene is heavily methylated, or workers where it is not. Furthermore, we would expect methylation patterns of these differentially methylated genes to be correlated with caste and to be in a consistent direction regardless of genotype or colony origin; and (iii) DNA methylation should affect gene expression and/or gene splicing. That is, to show a causality, we would like to see that the differential methylation of the gene that we think has something to do with caste differentiation actually changes expression in response to methylation.

How well does the evidence stack up against these predictions? Libbrecht et al. [54] have argued that evidence for caste differences in methylation patterns may be artefacts of insufficient biological replication. If queens and workers are unevenly sampled from different colonies, genetic backgrounds (e.g. patriline) or time points, this can give the appearance of caste-specific methylation where none exists. In studies where there has been adequate biological replication (i.e. replicated colonies are considered), it is often the case that genes are differentially methylated between workers and queens in different directions in different colonies [51,60]. Strikingly, many whole-genome sequencing studies that have reported large differences in methylation between queens and workers lacked biological replication [36,45] or pooled biological replicates [52]. By contrast, the only well-replicated study [46] did not find any differences between queen and worker castes.

Other studies have indeed found caste-specific methylation patterns across replicate colonies in honeybee larvae. Two of these studies used methods that detected only a small fraction of methylated sites. Welsh et al. [49] focused on two genes, cabin-1 and nadrin-2, that were previously identified as being differentially methylated. Shi et al. [50] used methylated DNA immunoprecipitation-sequencing, a procedure that detects only a small proportion of methylated cytosines, and in a biased way [61]. In Shi's experiment, methylation appeared to be strongly biased towards intronic sequences. Because most DNA methylation occurs in gene bodies in insects [38,45,52], the significance of low levels of differential methylation in introns is unknown.

Finally, there remains the question of function. Gene body methylation is generally thought to regulate gene transcription and to affect alternative splicing [38,45,62]. However, recent studies have convincingly shown that there is no overall link between methylation, gene expression and alternative splicing in social insects [51,55,63]. Indeed, mounting evidence indicates that methylation patterns are conserved during development in honeybees [51,64,65]. These results further question the role of methylation in caste determination.

We note that some of the above criticisms remain equivocal. For instance, the honeybee studies that have not found differences between castes (table 1, [46,47,51]) have compared samples from the adult stage and not the larval stage during which the alternate queen versus worker developmental trajectories are laid down. It is thus possible that queens and workers harbour differential methylation at the larval stage and that this causes differential gene expression [43,52], but this differential methylation is lost during the transition to the adult moult. Further, several of the studies that have not found differential methylation between queen and worker castes (table 1) were done in species that lack morphologically different castes [54,55]. These findings in caste-free species may be irrelevant to species like honeybees with irreversible morphological queens and workers.

In the light of these criticisms (and the criticisms of the criticisms), we conclude that the jury is still out on whether DNA methylation plays a role in Q–W caste differentiation. Resolving this question will require whole-genome bisulfite sequencing of DNA from queen and worker larvae with good sequencing depth and replication across colonies. If it can be shown that particular genes are consistently differentially methylated in a caste-specific manner, and this methylation affects gene expression, then this will be conclusive evidence that methylation is involved in caste differentiation. If not, then we should discount a role for methylation in caste determination.

Given the currently equivocal role of methylation in Q–W caste determination, how can we interpret the fact that experimental knockdown of the de novo methylation system in honeybees reliably produces the queen phenotype in young larvae [43]? Dnmt genes probably have functions beyond methylation because knockdown of dnmts is lethal in the milkweed bug where methylation is absent [66,67]. Thus, it is possible that dnmt3 is indeed involved in caste determination [43], whereas methylation is not. A decisive experiment might involve using RNA interference to knock down expression of dnmt3 in honeybee larvae, followed by whole-genome bisulfite sequencing and confirmation that knockdown generates the queen phenotype. However, if dnmt3 plays a direct role in caste determination, unrelated to methylation, then this would add a confounding factor.

5. Small RNAs and chromatin modification

Small RNA (s-RNA) molecules are a class of short (18–50 bp) non-coding RNAs that are important for the regulation of gene expression in eukaryotes via post-transcriptional modifications to messenger RNAs, and for direct regulation of the rate of translation at the ribosome [68,69]. Because queens and workers are very different animals with significantly different gene expression profiles [7072], it is unsurprising that a class of molecules like s-RNAs that regulate gene expression should also differ in abundance and kind between queens and workers [7375] and between worker castes [76]. Unclear at this time is whether s-RNAs are the ‘first responders’ to larval diet that establish caste-specific developmental patterns, or are a downstream response to other triggers such as methylation or hormonal regulation [77,78].

Chromatin is the DNA–protein complex of which chromosomes are comprised. The protein component provides a supporting structure for the DNA. Post-translational modifications to the histones of chromatin influence the degree to which it is contracted or expanded, and this in turn influences the expression of genes in the region [79]. Chromatin states are usually propagated across cell divisions [80]. Chromatin modifications often reflect the methylation state of the CpG sites in the associated DNA, that is, methylation directs chromatin modifications and vice versa (the piggy-back model) [81,82]. Therefore, any link between methylation and gene expression may be via histone modification [8386]. Queen- and worker-honeybee larvae show caste-specific chromatin states across thousands of genes and these are correlated with caste-specific gene expression [87]. We are unaware of any study that has related methylation pattern to chromatin state to gene expression.

6. DNA methylation and behavioural castes

Another phenomenon characteristic of insect colonies that demands both evolutionary and mechanistic explanations is the ability of individuals to undergo profound behavioural and physiological changes that do not include changes in morphology. These changes can be as normal as the transition from nest-bound work to foraging that most workers undergo as they age [9,88], to the transition from worker to mated reproductive that occurs in some ant [89], wasp [55] and termite [90] species. These behavioural changes are associated with significant rearrangements of the worker's physiology and gene expression [9195]. Could methylation play a role in regulating these transitions?

In the honeybee, behavioural castes can be experimentally created by simple manipulations of colony demography. For example, precocious foragers can be created by removing all the natural ones, which causes rapid maturation of nurse workers to foraging tasks. Herb et al. [46] used an array-based technology, verified by whole-genome bisulfite sequencing, to examine the methylation patterns in same-aged nurse workers and foragers, including foragers that had been forced to revert to nursing. Each behavioural phenotype was associated with its own specifically methylated regions, and these regions were enriched for gene-regulatory functions. Importantly, foragers that had reverted back to nursing showed methylation patterns more similar to nurses than to foragers. Similar findings were shown for a set of eight genes in which methylation levels were more associated with behavioural task than with chronological age [96]. Most recently, ultra-deep sequencing has shown that three genes, dynactin, nadrin and pcb1, show small but significant differences in methylation patterns in honeybees of different ages that perform different tasks (newly emerged, young, nursing, foraging) [97].

In bumblebees, there are genome-wide methylation differences between queenless (reproductively active) workers and sterile workers with a queen [34,98]. By contrast, there is no association between methylation level and reproductive–non-reproductive phase in clonal raider ants [54]. In raider ants, methylation patterns are consistent over life, and there is no association between methylation and gene expression [54].

In summary, some of these experiments suggest that an ancient mechanism, methylation, is used in at least some social insects to allow rapid, environmentally responsive changes in gene expression and behaviour in workers [46,59,99]. However, there is mounting evidence against the involvement of methylation in these processes [51,54,55], and it is now far from certain that methylation is involved in the regulation of behaviour.

7. Associations between DNA methylation and degree of sociality

If methylation plays a major role in sociality by providing a mechanism by which morphological and behavioural castes can be generated from similar genomes, then one might predict an association between the level of sociality and methylation. ‘Sociality’ in this context is the continuum [100] between solitary reproduction by females (e.g. in saw flies) through small family groups with facultative reproductive skew towards one or more females (as in paper wasps), to colonies in which large numbers of workers support a single morphologically distinct queen who is the mother of all individuals in the colony, as in sugar ants (Camponotus).

This question has been addressed in five studies using increasingly sophisticated genomic techniques and better taxon sampling. Overall, we think that the major conclusion from these studies [47,63,101103] is that there is no clear relationship between the level of sociality and the extent of methylation. The strongest association is across the phylogeny of bees [103], but the relationship is not clear cut when wasps and ants are added to the picture [102]. In general, the Hymenoptera have low levels of methylation relative to other insect orders in which there are no social species [41,42]. In summary, these phylogenetic analyses emphasize that the evolutionary paths to eusociality have followed different routes [103]. All involve increasingly complex gene networks and regulatory systems, but the mechanisms by which this complexity is regulated vary across clades.

8. Conclusion

In this review, we have discussed the enigma of caste determination, and the progress that has been made in determining how environmental signals, mostly nutritional, are translated into developmental changes via epigenetic mechanisms. There is now confirmation that methylation levels differ between honeybee queens and workers at the early larval stage and that differentially methylated genes are related to reproductive, morphological and vision systems [52]. The remaining open question is whether the methylation differences are functional.

Data accessibility

This article has no additional data.

Authors' contributions

B.P.O. and B.Y. conceived and wrote the paper.

Competing interests

We declare we have no competing interests.

Funding

The authors are supported by Australian Research Council grant nos. DP180101696 and DP190101500 and the Herman Slade Foundation HSF18/01.

References

  • 1.Beekman M, Peeters C, O'Rain MJ. 2006. Developmental divergence: neglected variable in understanding the evolution of reproductive skew in social animals. Behav. Ecol. 17, 622-627. ( 10.1093/beheco/ark006) [DOI] [Google Scholar]
  • 2.Beekman M, Oldroyd BP. 2008. When workers disunite: intraspecific parasitism in eusocial bees. Annu. Rev. Entomol. 53, 19-37. ( 10.1146/annurev.ento.53.103106.093515) [DOI] [PubMed] [Google Scholar]
  • 3.Higashi M, Yamamura N, Abe T. 2000. Theories on the sociality of termites. In Termites: evolution, sociality, symbioses, ecology (eds Abe T, Bignell DE, Higashi M), pp. 169-187. Dordrecht, The Netherlands: Kluwer. [Google Scholar]
  • 4.Hölldobler B, Wilson EO. 1990. The ants. Berlin, Germany: Springer-Verlag. [Google Scholar]
  • 5.Michener CD. 2000. The bees of the world. Baltimore, MD: John Hopkins University Press. [Google Scholar]
  • 6.Smith SM, Kent DS, Boomsma JJ, Stow AJ. 2018. Monogamous sperm storage and permanent worker sterility in a long-lived ambrosia beetle. Nat. Ecol. Evol. 2, 1009-1018. ( 10.1038/s41559-018-0533-3) [DOI] [PubMed] [Google Scholar]
  • 7.Crespi BJ. 1992. Eusociality in Australian gall thrips. Nature 359, 724-726. ( 10.1038/359724a0) [DOI] [Google Scholar]
  • 8.Lindauer M. 1971. Communication among social bees. Cambridge, MA: Harvard University Press. [Google Scholar]
  • 9.Seeley TD, Kolmes SA. 1991. Age polyethisms for hive duties in honey bees—illusion or reality? Ethology 87, 284-297. ( 10.1111/j.1439-0310.1991.tb00253.x) [DOI] [Google Scholar]
  • 10.Oster GF, Wilson EO. 1978. Caste and ecology in the social insects. Princeton, NJ: Princeton University Press. [PubMed] [Google Scholar]
  • 11.Grüter C, Menezes C, Imperatiz-Fonseca VL, Ratnieks FLW. 2012. A morphologically specialized soldier caste improves colony defense in a neotropical eusocial bee. Proc. Natl Acad. Sci. USA 109, 1182-1186. ( 10.1073/pnas.1113398109) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Barresi MJF, Gilbert SF. 2020. Developmental biology. Sunderland, MA: Sinauer Associates. [Google Scholar]
  • 13.Wilson EO. 1971. The insect societies. Cambridge, MA: Harvard University Press. [Google Scholar]
  • 14.Noirot C. 1990. Sexual castes and reproductive strategies in termites. In Social insects: an evolutionary approach to castes and reproduction (ed. Engels W), pp. 5-35. Berlin, Germany: Springer-Verlag. [Google Scholar]
  • 15.Matsuura K. 2019. Genomic imprinting and the evolution of insect societies. Popul. Ecol. 62, 38-52. ( 10.1002/1438-390X.12026) [DOI] [Google Scholar]
  • 16.Engels W. 1990. Social insects. An evolutionary approach to castes and reproduction, p. 265. Berlin, Germany: Springer-Verlag. [DOI] [PubMed] [Google Scholar]
  • 17.Slater GP, Yocum GD, Bowsher JH. 2020. Diet quantity influences caste determination in honeybees. Proc. R. Soc. B 287, 20200614. ( 10.1098/rspb.2020.0614) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Haydak MH. 1943. Larval food and development of castes in the honeybee. J. Econ. Ent. 36, 778-792. ( 10.1093/jee/36.5.778) [DOI] [Google Scholar]
  • 19.Wang Y, Ma L, Zhang W, Cui X, Wang H, Xu B. 2016. Comparison of the nutrient composition of royal jelly and worker jelly of honey bees (Apis mellifera). Apidologie 47, 48-56. ( 10.1007/s13592-015-0374-x) [DOI] [Google Scholar]
  • 20.Buschinger A. 1990. Regulation of worker and queen formation in ants with special reference to reproduction and colony development. In Social insects: an evolutionary approach to castes and reproduction (ed. Engels W), pp. 37-59. Berlin, Germany: Springer-Verleg. [Google Scholar]
  • 21.Engels W, Imperatiz-Fonseca VL. 1990. Caste development, reproductive strategies, and control of fertility in honey bees and stingless bees. In Social insects: an evolutionary approach to castes and reproduction (ed. Engels W), pp. 168-230. Berlin, Germany: Springer-Verlag. [Google Scholar]
  • 22.Okada Y, Miyazaki S, Miyakawa H, Ishikawa A, Tsuji K, Miura T. 2010. Ovarian development and insulin-signaling pathways during reproductive differentiation in the queenless ponerine ant Diacamma sp. J. Insect Physiol. 56, 288-295. ( 10.1016/j.jinsphys.2009.10.013) [DOI] [PubMed] [Google Scholar]
  • 23.Gospocic J, et al. 2017. The europeptide corazonin controls social behavior and caste identity in ants. Cell 170, 748-759.e12. ( 10.1016/j.cell.2017.07.014) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chandra V, Fetter-Pruneda I, Oxley PR, Ritger AL, McKenzie SK, Libbrecht R, Kronauer DJC. 2018. Social regulation of insulin signaling and the evolution of eusociality in ants. Science 361, 398. ( 10.1126/science.aar5723) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Suzuki MM, Bird A. 2008. DNA methylation landscapes: provocative insights from epigenomics. Nat. Rev. Genet. 9, 465-476. ( 10.1038/nrg2341) [DOI] [PubMed] [Google Scholar]
  • 26.Zemach A, McDaniel IE, Silva P, Ziberman D. 2010. Genome-wide evolutionary analysis of eukaryotic DNA methylation. Science 328, 916-919. ( 10.1126/science.1186366) [DOI] [PubMed] [Google Scholar]
  • 27.de Mendoza A, Lister R, Bogdanovic O. 2020. Evolution of DNA methylome diversity in eukaryotes. J. Mol. Biol. 432, 1687-1705. ( 10.1016/j.jmb.2019.11.003) [DOI] [PubMed] [Google Scholar]
  • 28.Suzuki MM, Kerr ARW, de Sousa D, Bird A. 2007. CpG mathylation is targeted to transcription units in an invertebrate genome. Genome Res. 17, 625-631. ( 10.1101/gr.6163007) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Glastad KM, Hunt BG, Goodisman MAD. 2019. Epigenetics in insects: genome regulation and the generation of phenotypic diversity. Annu. Rev. Entomol. 64, 185-203. ( 10.1146/annurev-ento-011118-111914) [DOI] [PubMed] [Google Scholar]
  • 30.Sarda S, Zeng J, Hunt BG, Yi SV. 2012. The evolution of invertebrate gene body methylation. Mol. Biol. Evol. 29, 1907-1916. ( 10.1093/molbev/mss062) [DOI] [PubMed] [Google Scholar]
  • 31.Hunt BG, Brisson JA, Yi SV, Goodisman MAD. 2011. Functional conservation of DNA methylation in the pea aphid and the honeybee. Genome Biol. Evol. 2, 719-728. ( 10.1093/gbe/evq057) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Park J, Peng Z, Zeng J, Elango N, Park T, Wheeler D, Werren JH, Yi SV. 2011. Comparative analysis of DNA methylation and sequence evolution using Nasonia genomes. Mol. Biol. Evol. 28, 3345-3354. ( 10.1093/molbev/msr168) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Glastad KM, Gokhale K, Liebig J, Goodisman MAD. 2016. The caste- and sex-specific DNA methylome of the termite Zootermopsis nevadensis. Sci. Rep. 6, 37110. ( 10.1038/srep37110) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Marshall H, Lonsdale ZN, Mallon EB. 2019. Methylation and gene expression differences between reproductive and sterile bumblebee workers. Evol. Lett. 3, 485-499. ( 10.1002/evl3.129) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Flores K, Wolschin F, Corneveaux JJ, Allen AN, Huentelman MJ, Amdam GV. 2012. Genome-wide association between DNA methylation and alternative splicing in an invertebrate. BMC Genomics 13, 480. ( 10.1186/1471-2164-13-480) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Foret S, Kucharski R, Pellegrini M, Feng SH, Jacobsen SE, Robinson GE, Maleszka R. 2012. DNA methylation dynamics, metabolic fluxes, gene splicing, and alternative phenotypes in honey bees. Proc. Natl Acad. Sci. USA 109, 4968-4973. ( 10.1073/pnas.1202392109) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Bonasio R, et al. 2012. Genome-wide and caste-epecific DNA methylomes of the ants Campanotus floridanus and Harpengnathus salator. Curr. Biol. 22, 1755-1764. ( 10.1016/j.cub.2012.07.042) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Li-Byarlay H, et al. 2013. RNA interference knockdown of DNA methyltransferase 3 affects gene alternative splicing in the honey bee. Proc. Natl Acad. Sci. USA 110, 12 750-12 755. ( 10.1073/pnas.1310735110) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Law JA, Jacobsen SE. 2010. Establishing, maintaining and modifying DNA methylation patterns in plants and animals. Nat. Rev. Genet. 11, 204-220. ( 10.1038/nrg2719) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wang Y, Jorda M, Jones PL, Maleszka R, Ling X, Robertson HM, Mizzen CA, Peinado MA, Robinson GE. 2006. Functional CpG methylation system in a social insect. Science 314, 645-647. ( 10.1126/science.1135213) [DOI] [PubMed] [Google Scholar]
  • 41.Provataris P, Meusemann K, Niehuis O, Grath S, Misof B. 2018. Signatures of DNA methylation across insects suggest reduced DNA methylation levels in Holometabola. Genome Biol. Evol. 10, 1185-1197. ( 10.1093/gbe/evy066) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Bewick AJ, Vogel KJ, Moore AJ, Schmitz RJ. 2017. Evolution of DNA methylation across insects. Mol. Biol. Evol. 34, 654-665. ( 10.1093/molbev/msw264) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kucharski R, Maleszka J, Foret S, Maleszka R. 2008. Nutritional control of reproductive status in honeybees via DNA methylation. Science 319, 1827-1830. ( 10.1126/science.1153069) [DOI] [PubMed] [Google Scholar]
  • 44.Elango N, Hunt BG, Goodisman MAD, Yi SV. 2009. DNA methylation is widespread and associated with differential gene expression in castes of the honeybee, Apis mellifera. Proc. Natl Acad. Sci. USA 106, 11 206-11 211. ( 10.1073/pnas.0900301106) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Lyko F, Foret S, Kucharski R, Wolf S, Falckenhayn C, Maleszka R. 2010. The honey bee epigenomes: differential methylation of brain DNA in queens and workers. PLoS Biol. 8, e1000506. ( 10.1371/journal.pbio.1000506) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Herb BR, Wolschin F, Hansen KD, Aryee MJ, Langmead B, Irizarry R, Amdam GV, Feinberg AP. 2012. Reversible switching between epigenetic states in honeybee behavioral subcastes. Nat. Neurosci. 15, 1371-1373. ( 10.1038/nn.3218) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Weiner SA, Galbraith DA, Adams DC, Valenzuela N, Noll FD, Grozinger CM, Toth AL. 2013. A survey of DNA methlyation across social insect species, life stages and castes reveals abundant caste-associated methylation in a primitively eusocial wasp. Naturwissenschaften 100, 795-799. ( 10.1007/s00114-013-1064-z) [DOI] [PubMed] [Google Scholar]
  • 48.Shi YY, Yan WY, Huang ZY. 2013. Genomewide analysis indicates that queen larvae have lower methylation levels in the honey bee (Apis mellifera). Naturwissenschaften 100, 193-197. ( 10.1007/s00114-012-1004-3) [DOI] [PubMed] [Google Scholar]
  • 49.Welsh L, Maleszka R, Foret S. 2017. Detecting rare asymmetrically methylated cytosines and decoding methylation patterns in the honeybee genome. R. Soc. Open Sci. 4, 170248. ( 10.1098/rsos.170248) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Shi Y-Y, Liu H, Qiu Y-F, Ma Z-Y, Zeng Z-J. 2017. DNA methylation comparison between 4-day-old queen and worker larvae of honey bee. J. Asia-Pac. Entomol. 20, 299-303. ( 10.1016/j.aspen.2017.01.014) [DOI] [Google Scholar]
  • 51.Harris KD, Lloyd JPB, Domb K, Zilberman D, Zemach A. 2019. DNA methylation is maintained with high fidelity in the honey bee germline and exhibits global non-functional fluctuations during somatic development. Epigenet. Chromatin 12, 62. ( 10.1186/s13072-019-0307-4) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Wang H, Liu Z, Wang Y, Ma L, Zhang W, Xu B. 2020. Genome-wide differential DNA methylation in reproductive, morphological, and visual system differences between queen bee and worker bee (Apis mellifera). Front. Genet. 11, 770. ( 10.3389/fgene.2020.00770) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Smith CR, Mutti NS, Jasper WC, Naidu A, Smith CD, Gadau J. 2012. Patterns of DNA methylation in development, division of labor and hybridization in an ant with genetic caste determination. PLoS ONE 7, e42433. ( 10.1371/journal.pone.0042433) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Libbrecht R, Oxley PR, Keller L, Kronauer DJC. 2016. Robust DNA methylation in the clonal raider ant brain. Curr. Biol. 26, 391-395. ( 10.1016/j.cub.2015.12.040) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Patalano S, et al. 2015. Molecular signatures of plastic phenotypes in two eusocial insect species with simple societies. Proc. Natl Acad. Sci. USA 112, 13 970-13 975. ( 10.1073/pnas.1515937112) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Taguchi YH. 2018. Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes. BMC Bioinf. 19, 99. ( 10.1186/s12859-018-2068-7) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Morandin C, Brendel VP, Sundström L, Helanterä H, Mikheyev AS. 2019. Changes in gene DNA methylation and expression networks accompany caste specialization and age-related physiological changes in a social insect. Mol. Ecol. 28, 1975-1993. ( 10.1111/mec.15062) [DOI] [PubMed] [Google Scholar]
  • 58.Foret S, Kucharski R, Pittelkow Y, Lockett GA, Maleszka R. 2009. Epigenetic regulation of the honey bee transcriptome: unravelling the nature of methylated genes. BMC Genomics 10, 472. ( 10.1186/1471-2164-1110-1472) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Maleszka R. 2008. Epigenetic integration of environmental and genomic signals in honey bees. Epigenetics 3, 1-5. ( 10.4161/epi.3.4.6697) [DOI] [PubMed] [Google Scholar]
  • 60.Libbrecht R, Oxley PR, Kronauer DJC. 2018. Clonal raider ant brain transcriptomics identifies candidate molecular mechanisms for reproductive division of labor. BMC Biol. 16, 1-3. ( 10.1186/s12915-018-0558-8) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Nair SS, Coolen MW, Stirzaker C, Song JZ, Statham AL, Strbenac D, Robinson MD, Clark SJ. 2011. Comparison of methyl-DNA immunoprecipitation (MeDIP) and methyl-CpG binding domain (MBD) protein capture for genome-wide DNA methylation analysis reveal CpG sequence coverage bias. Epigenetics 6, 34-44. ( 10.4161/epi.6.1.13313) [DOI] [PubMed] [Google Scholar]
  • 62.Hunt BG, Glastad KM, Yi SV, Goodisman MA. 2013. The function of intragenic DNA methylation: insights from insect epigenomes. Integr. Comp. Biol. 53, 319-328. ( 10.1093/icb/ict003) [DOI] [PubMed] [Google Scholar]
  • 63.Arsenault SV, Hunt BG, Rehan SM. 2018. The effect of maternal care on gene expression and DNA methylation in a subsocial bee. Nat. Commun. 9, 1-9. ( 10.1038/s41467-018-05903-0) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Xu X, et al. 2019. Evolutionary transition between invertebrates and vertebrates via methylation reprogramming in embryogenesis. Natl Sci. Rev. 6, 993-1003. ( 10.1093/nsr/nwz064) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Yagound B, Remnant EJ, Buchmann G, Oldroyd BP. 2020. Intergenerational transfer of DNA methylation marks in the honey bee. Proc. Natl Acad. Sci. USA 117, 32 519-32 527. ( 10.1073/pnas.2017094117) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Bewick AJ, Sanchez Z, McKinney EC, Moore AJ, Moore PJ, Schmitz RJ. 2019. Dnmt1 is essential for egg production and embryo viability in the large milkweed bug, Oncopeltus fasciatus. Epigenet. Chromatin 12, 6. ( 10.1186/s13072-018-0246-5) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Schulz NKE, Wagner CI, Ebeling J, Raddatz G, Diddens-de Buhr MF, Lyko F, Kurtz J. 2018. Dnmt1 has an essential function despite the absence of CpG DNA methylation in the red flour beetle Tribolium castaneum. Sci. Rep. 8, 16462. ( 10.1038/s41598-018-34701-3) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Gebert LFR, MacRae IJ. 2019. Regulation of microRNA function in animals. Nat. Rev. Mol. Cell Biol. 20, 21-37. ( 10.1038/s41580-018-0045-7) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Castel SE, Martienssen RA. 2013. RNA interference in the nucleus: roles for small RNAs in transcription, epigenetics and beyond. Nat. Rev. Genet. 14, 101-112. ( 10.1038/nrg3355) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Evans JD, Wheeler DE. 1999. Differential gene expression between developing queens and workers in the honey bee, Apis mellifera. Proc. Natl Acad. Sci. USA 96, 5575-5580. ( 10.1073/pnas.96.10.5575) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Judice C, Hartfelder K, Pereira GAG. 2004. Caste-specific gene expression in the stingless bee Melipona quadrifasciata—are there common patterns in highly eusocial bees? Insect. Soc. 51, 352-358. ( 10.1007/s00040-004-0771-z) [DOI] [Google Scholar]
  • 72.Grozinger CM, Fan Y, Hoover SER, Winston ML. 2007. Genome-wide analysis reveals differences in brain gene expression patterns associated with caste and reproductive status in honey bees Apis mellifera. Mol. Ecol. 16, 4837-4848. ( 10.1111/j.1365-294X.2007.03545.x) [DOI] [PubMed] [Google Scholar]
  • 73.Guo X, et al. 2013. Recipe for a busy bee: MicroRNAs in honey bee caste determination. PLoS ONE 8, e81661. ( 10.1371/journal.pone.0081661) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Guo X, Su S, Geir S, Li W, Li Z, Zhang S, Chen S, Chen R. 2016. Differential expression of miRNAs related to caste differentiation in the honey bee, Apis mellifera. Apidologie 47, 495-508. ( 10.1007/s13592-015-0389-3) [DOI] [Google Scholar]
  • 75.Ashby R, Forêt S, Searle I, Maleszka J. 2016. MicroRNAs in honey bee caste determination. Sci. Rep. 6, 18794. ( 10.1038/srep18794) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Macedo LMF, et al. 2016. MicroRNA signatures characterizing caste-independent ovarian activity in queen and worker honeybees. Insect. Mol. Biol. 25, 216-226. ( 10.111/imb.12214) [DOI] [PubMed] [Google Scholar]
  • 77.Mutti NS, Dolezal AG, Wolschin F, Mutti JS, Gill KS, Amdam GV. 2011. IRS and TOR nutrient-signaling pathways act via juvenile hormone to influence honey bee caste fate. J. Exp. Biol. 214, 3977-3984. ( 10.1242/jeb.061499) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Chen X, Shi W. 2020. Genome-wide characterization of coding and non-coding RNAs in the ovary of honeybee workers and queens. Apidologie 51, 777-792. ( 10.1007/s13592-020-00760-7) [DOI] [Google Scholar]
  • 79.Spencer VA, Davie JR. 1999. Role of covalent modifications of histones in regulating gene expression. Gene 240, 1-12. ( 10.1016/S0378-1119(99)00405-9) [DOI] [PubMed] [Google Scholar]
  • 80.Moazed D. 2011. Mechanisms for the inheritance of chromatin states. Cell 146, 510-518. ( 10.1016/j.cell.2011.07.013) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Martin C, Zhang Y. 2007. Mechanisms of epigenetic inheritance. Curr. Opin. Cell Biol. 19, 266-272. ( 10.1016/j.ceb.2007.04.002) [DOI] [PubMed] [Google Scholar]
  • 82.Cedar H, Bergman Y. 2009. Linking DNA methylation and histone modification: patterns and paradigms. Nat. Rev. Genet. 10, 295-304. ( 10.1038/nrg2540) [DOI] [PubMed] [Google Scholar]
  • 83.Blackledge NP, Klose R. 2011. CpG island chromatin: a platform for gene regulation. Epigenetics 6, 147-152. ( 10.4161/epi.6.2.13640) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Li X, et al. 2008. High-resolution mapping of epigenetic modifications of the rice genome uncovers interplay between DNA methylation, histone methylation, and gene expression. Plant Cell 20, 259-276. ( 10.1105/tpc.107.056879) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Bilichak A, Ilnystkyy Y, Hollunder J, Kovalchuk I. 2012. The progeny of Arabidopsis thaliana plants exposed to salt exhibit changes in DNA methylation, histone modifications and gene expression. PLoS ONE 7, e30515. ( 10.1371/journal.pone.0030515) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Grandjean V, O'Neill L, Sado T, Turner B, Ferguson-Smith A. 2001. Relationship between DNA methylation, histone H4 acetylation and gene expression in the mouse imprinted Igf2-H19 domain. FEBS Lett. 488, 165-169. ( 10.1016/S0014-5793(00)02349-8) [DOI] [PubMed] [Google Scholar]
  • 87.Wojciechowski M, Lowe R, Maleszka J, Conn D, Maleszka R, Hurd PJ. 2018. Phenotypically distinct female castes in honey bees are defined by alternative chromatin states during larval development. Genome Res. 28, 1532-1542. ( 10.1101/gr.236497.118) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Robinson GE, Huang ZY. 1998. Colony integration in honey bees: genetic, endocrine and social control of division of labor. Apidologie 29, 159-170. [Google Scholar]
  • 89.Peeters C, Liebig J, Hölldobler B. 2000. Sexual reproduction by both queens and workers in the ponerine ant Harpegnathos saltator. Insect. Soc. 47, 325-332. ( 10.1007/PL00001724) [DOI] [Google Scholar]
  • 90.Matsuura K, Vargo EL, Kawatsu K, Labadie PE, Nakano H, Yashiro T, Tsuji K. 2009. Queen succession through asexual reproduction in termites. Science 323, 1687. ( 10.1126/science.1169702) [DOI] [PubMed] [Google Scholar]
  • 91.Fischman BJ, Woodard SH, Robinson GE. 2011. Molecular evolutionary analyses of insect societies. Proc. Natl Acad. Sci. USA 108, 10 847-10 854. ( 10.1073/pnas.1100301108) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Fahrbach SE, Robinson GE. 1996. Juvenile hormone, behavioral maturation, and brain structure in the honey bee. Dev. Neurosci. 18, 102-114. ( 10.1159/000111474) [DOI] [PubMed] [Google Scholar]
  • 93.Ament SA, Corona M, Pollock HS, Robinson GE. 2008. Insulin signaling is involved in the regulation of worker division of labor in honey bee colonies. Proc. Natl Acad. Sci. USA 105, 4226-4231. ( 10.1073/pnas.0800630105) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Whitfield CW, Ben-Shahar Y, Brillet C, Leoncini I, Crauser D, LeConte Y, Rodriguez-Zas S, Robinson GE. 2006. Genomic dissection of behavioral maturation in the honey bee. Proc. Natl Acad. Sci. USA 103, 16 068-16 075. ( 10.1073/pnas.0606909103) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Huang ZY, Plettner E, Robinson GE. 1998. Effects of social environment and worker mandibular glands on endocrine-mediated behavioral development in honey bees. J. Comp. Physiol. A 183, 143-152. ( 10.1007/s003590050242) [DOI] [PubMed] [Google Scholar]
  • 96.Lockett GA, Kucharski R, Maleszka R. 2012. DNA methylation changes elicited by social stimulation in the brains of worker honey bees. Genes Brain Behav. 11, 235-242. ( 10.1111/j.1601-183X.2011.00751.x) [DOI] [PubMed] [Google Scholar]
  • 97.Kucharski R, Maleszka R. 2020. Exploring DNA methylation diversity in the honey bee brain by ultra-deep amplicon sequencing. Epigenomes 4, 10. ( 10.3390/epigenomes4020010) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Amarasinghe HE, Clayton CI, Mallon EB. 2014. Methylation and worker reproduction in the bumble-bee (Bombus terrestris). Proc. R. Soc. B 281, 20132502. ( 10.1098/rspb.2013.2502) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Cardoso-Júnior C.A.M., Guidugli-Lazzarini K.R., Hartfelder K. 2018. DNA methylation affects the lifespan of honey bee (Apis mellifera L.) workers—evidence for a regulatory module that involves vitellogenin expression but is independent of juvenile hormone function. Insect. Biochem. Mol. 92, 21-29. ( 10.1016/j.ibmb.2017.11.005). [DOI] [PubMed] [Google Scholar]
  • 100.Sherman PW, Lacey EA, Reeve HK, Keller L. 1995. The eusociality continuum. Behav. Ecol. 6, 102-108. ( 10.1093/beheco/6.1.102) [DOI] [Google Scholar]
  • 101.Standage DS, Berens AJ, Glastad KM, Severin AJ, Brendel VP, Toth AL. 2016. Genome, transcriptome, and methylome sequencing of a primitively eusocial wasp reveal a greatly reduced DNA methylation system in a social insect. Mol. Ecol. 25, 1769-1784. ( 10.1111/mec.13578) [DOI] [PubMed] [Google Scholar]
  • 102.Glastad KM, et al. 2017. Variation in DNA methylation is not consistently reflected by sociality in Hymenoptera. Genome Biol. Evol. 9, 1687-1698. ( 10.1093/gbe/evx128) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Kapheim KM, et al. 2015. Genomic signatures of evolutionary transitions from solitary to group living. Science 348, 1139-1143. ( 10.1126/science.aaa4788) [DOI] [PMC free article] [PubMed] [Google Scholar]

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