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Copyright © 2007 Hoffman and Goodisman; licensee BioMed Central Ltd. Gene expression and the evolution of phenotypic diversity in social wasps 1Department of Biology, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL 32816, USA 2School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Corresponding author.Eric A Hoffman: eahoffma/at/mail.ucf.edu; Michael AD Goodisman: michael.goodisman/at/biology.gatech.edu Received October 20, 2006; Accepted May 15, 2007. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article has been cited by other articles in PMC.Abstract Background Organisms are capable of developing different phenotypes by altering the genes they express. This phenotypic plasticity provides a means for species to respond effectively to environmental conditions. One of the most dramatic examples of phenotypic plasticity occurs in the highly social hymenopteran insects (ants, social bees, and social wasps), where distinct castes and sexes all arise from the same genes. To elucidate how variation in patterns of gene expression affects phenotypic variation, we conducted a study to simultaneously address the influence of developmental stage, sex, and caste on patterns of gene expression in Vespula wasps. Furthermore, we compared the patterns found in this species to those found in other taxa in order to investigate how variation in gene expression leads to phenotypic evolution. Results We constructed 11 different cDNA libraries derived from various developmental stages and castes of Vespula squamosa. Comparisons of overall expression patterns indicated that gene-expression differences distinguishing developmental stages were greater than expression differences differentiating sex or caste. Furthermore, we determined that certain sets of genes showed similar patterns of expression in the same phenotypic forms of different species. Specifically, larvae upregulated genes related to metabolism and genes possessing structural activity. Surprisingly, our data indicated that at least a few specific gene functions and at least one specific gene family are important components of caste differentiation across social insect taxa. Conclusion Despite research on various aspects of development originating from model systems, growth in understanding how development is related to phenotypic diversity relies on a growing literature of contrasting studies in non-model systems. In this study, we found that comparisons of patterns of gene expression with model systems highlighted areas of conserved and convergent developmental evolution across diverse taxa. Indeed, conserved biological functions across species implicated key functions related to how phenotypes are built. Finally, overall differences between social insect taxa suggest that the independent evolution of caste arose via distinct developmental trajectories. Background A fundamental goal of the burgeoning field of evolutionary developmental biology is to understand how differences in gene expression contribute to phenotypic diversity. Phenotypic plasticity, the ability of a single genotype to produce alternate forms of morphology, physiology or behavior in response to environmental conditions [1-3], provides a unique opportunity to investigate environmental influence on gene expression. Phenotypic plasticity is taxonomically widespread and usually results in continuous phenotypic variation [2,4]. However, some organisms exhibit phenotypic plasticity such that two or more discrete alternative phenotypes (without intermediate forms) are produced. This type of variation is called a polyphenism [5]. Because the phenotypic differences that exist among morphs can arise from an identical genome, polyphenisms provide an ideal means to explore how differential gene expression drives phenotypic diversity [6]. Highly social hymenopteran insects (ants, social bees, and social wasps) present one of the most striking examples of polyphenism. Hymenopteran queens, workers, and males all possess the same genes (although females are diploid and males are haploid), unlike many other animals, where sex chromosomes play a role in sex determination. Therefore, the phenotypic differences among hymenopteran social insect castes, as well as sexes, are derived from variation in gene expression. In this study, we investigated the molecular underpinnings involved in the development of the social wasp Vespula squamosa. Vespula wasps are a particularly good taxon in which to study phenotypic evolution, for several reasons. First, Vespula wasps display distinct female castes; queens differ from workers in size, color, behavior, body proportions, and physiology [7,8] (Figure (Figure1).1
This study addressed the following three important questions related to the evolution and development of queens, workers and males in Vespula wasps: (i) How do patterns of gene expression differ among developmentally distinct phenotypes? (ii) Are sex-specific developmental patterns similar across insect species? (iii) Do caste-specific developmental patterns display convergent evolution? Results and discussion Expression patterns and developmental stage The most striking result from our data is that developmental stage (i.e., larva, pupa, and adult) plays a much larger role in establishing patterns of gene expression than either caste or sex (Figure (Figure2).2
Which genes contribute to the differences among V. squamosa libraries and thus provided insight into the molecular processes associated with development in this taxon? A general χ2 test (significance threshold at p < 0.01; [10]) identified 52 genes that were differentially expressed among libraries (Table 1). For example, hexamerin-like storage proteins (VSQ019, VSQ232, VSQ233, VSQ292; Table 1), which have been implicated in the development of other insect species (see below), also showed a distinctive pattern of upregulation during the late larval stages of V. squamosa. Additionally, the expressed sequence tags (ESTs) VSQ318 and VSQ031 are both members of the odorant-binding protein family (Table 1), which exhibit distinctive patterns of expression, falling along developmental lines. Interestingly, differentially expressed odorant-binding proteins have been implicated as key regulators of social behavior in other social insects [11].
Two other genes show patterns of expression similar to those observed in other species. First, VSQ445, which is homologous to the German cockroach major allergen Bla g 1, is upregulated in adult females, as is the case in cockroaches [12]. Second, VSQ709, which is upregulated in queen eggs, most closely matches the Pisum sativum putative senescence-associated protein. Surprisingly, Sharf et al [13] found that the same gene homolog was upregulated in immature reproductives of the termite Reticulitermes flavipes. They suggest that this gene may play a role in ribosomal filtering [14], owing to the similarity of R. flavipes (and VSQ709) transcript to 28s rRNA-like sequences. Finally, several genes of unknown function or those with low or no known homology also showed characteristic expression patterns at particular developmental stages. For example, both VSQ056 and VSQ058 were upregulated during the early and late larval developmental stages, whereas VSQ943 exhibits a striking pattern of upregulation during the female pupal stages (Table 1). The role of these genes is currently unknown, but their expression patterns indicate that further research into their functions is warranted. The general expression patterns found in V. squamosa support previous studies that have investigated gene-expression patterns among developmental stages. For example, Mathavan et al [15] found clearly demarcated transcript clusters in five different developmental stages during embryogenesis of the zebrafish. Wagner et al [16] also found an orderly progression in transcription through time during embryogenesis of the mouse. Working in a taxon more closely related to wasps, Arbeitman et al [17] discovered that the major breaks in gene-expression clustering of Drosophila melanogaster occurred between life stages. Similar to our results, Arbeitman et al found that expression patterns for both male and female adults grouped closely together despite the apparent morphological, physiological and behavioral differences that exist between sexes. In contrast to our results, they found that larval expression was more similar to that of adults, whereas expression of embryos was more similar to that of pupae. The V. squamosa data suggest a more temporal pattern, with EST frequencies more similar between adults and pupae than between adults and larvae. To investigate patterns of gene expression in V. squamosa further, we used information from the gene ontology (GO) classifications [18]. Use of GO classifications enabled us to determine whether there were conserved biological functions across species that demonstrated how phenotypes were built. In general, gene function may be remarkably conserved, with broad temporal patterns in gene class utilization showing similar patterns through mouse embryogenesis and development of D. melanogaster [19]. To determine the extent to which conserved biological functions persist across species, we searched for GO similarities to other insects. Goodisman et al [20] compared gene function similarities between Camponotus festinatus ants and D. melanogaster, and found that some patterns persisted between these species. In particular, the larvae of both species upregulated genes that were involved in protein production and possessed structural activity relative to those in adults. For both of these GO functions, the patterns hold true in V. squamosa when ESTs that show significant similarity to D. melanogaster genes are considered. The mean ± SE number of transcripts associated with protein metabolism is 51.5 ± 15.5 in larvae and 25.3 ± 4.8 in adults, and the mean ± SE number of transcripts possessing structural activity is 16.5 ± 4.5 in larvae and 5.3 ± 0.7 in adults (Figure (Figure3).3
Expression patterns and sex differences Sex influences patterns of gene expression in V. squamosa. Within both branches of the neighbor-joining tree that contain both sexes (pupal and adult), the male patterns of gene expression are more different and hence diverge before the two female castes (Figure (Figure2).2 Our analysis of sequenced ESTs uncovered another interesting pattern regarding sex in V. squamosa. We found that the proportion of ESTs matching known sequences in GenBank varied significantly among libraries (G10 = 102.60; p < 0.0001). Specifically, the differences in the proportion of genes displaying homology in the adult male and adult female libraries is striking (Figure (Figure4),4
Expression patterns and development of caste The defining feature of social insects is the division of individuals into reproductive and sterile castes [29]. Therefore, considerable research has focused on identifying genes that are differentially expressed between castes. For example, the molecular basis of caste differences has been investigated in bees [30-35], ants [36,37], wasps [38], and termites [13,39-41]. Overall, these studies represent at least five independent evolutionary events leading to sociality (summarized by Sumner et al [38]). How does caste development in V. squamosa compare with these other taxa? Four major trends arise from our analyses. First, as might be expected, EST chord distances among castes at earlier life stages are more similar (WLE-QLE = 1.08) than at later life stages (WA-QA distance = 1.23), with intermediate stages at intermediate distances (see Table 1 for library definitions). This result indicates that as castes diverge phenotypically, physiologically, and behaviorally, patterns of gene expression also become increasingly divergent. Second, our data contrast with a pattern of development identified in honeybees. Evans and Wheeler [31] suggested that patterns of expression of worker-destined larvae and younger bipotent larvae were more similar than between queen-destined larvae and bipotent larvae in A. mellifera. However, in V. squamosa, we found the opposite pattern when either early worker larvae (chord distances: WLE-WLL = 1.28, WLE-QLL = 1.21) or early queen larvae (chord distances: QLE-WLL = 1.29, QLE-QLL = 1.16) were used in the comparison. Thus, the trends in our data indicate that young larvae are more similar to queen-destined larvae than to worker-destined larvae in V. squamosa. Additionally, the observed differences in chord distances between worker or queen early larvae and worker or queen late larvae suggest that even though young larvae (i.e., WLE and QLE) are potentially bipotent, they may express different genes. Third, despite the differences in overall patterns of caste differentiation mentioned above, some patterns of gene function are conserved. Specifically, early queen larvae of V. squamosa express more genes related to metabolism (G1 = 4.70, p < 0.05) than do similarly aged worker larvae (Figure (Figure3).3 Fourth, the hexamerin gene family, which plays a significant role in caste differentiation in A. mellifera [30], B. terrestris [33] and R. flavipes [13,40,41], also shows significant differential expression in V. squamosa (VSQ019, VSQ232, VSQ233, VSQ292; Table 1). The arylphorin-like hexamerin most highly expressed in V. squamosa (VSQ019) is a methionine-rich member of the hexamerin family that participates in the storage of amino acids accumulated during larval development [43]. Moreover, as is the case in other social insect taxa, the different hexamerin ESTs in V. squamosa exhibit different expression patterns between queen and worker castes. VSQ019 and VSQ233 are upregulated in queen-destined larvae of V. squamosa, whereas VSQ232 and VSQ292 (both hexamerin 70b-like ESTs) are more highly expressed in the late larvae of workers relative to queens. The similarity of this gene-expression pattern among these species suggests that some specific pathways are conserved during social-insect evolution. Conclusion We conducted the first study to simultaneously address the influence of developmental stage, sex, and caste on patterns of gene expression. We found that patterns of expression are more similar across castes for a specific developmental stage than within castes at different stages. Similar to other insect taxa, larvae of our study taxon V. squamosa upregulate genes related to metabolism and possessing structural activity. Furthermore, our data provide a provocative example of divergent selection pressures for genes expressed differentially between the sexes. We also discovered that V. squamosa and A. mellifera castes, which arose via independent evolutionary events, may develop through different trajectories. Nevertheless, at least a few specific gene functions and at least one specific gene family appear to be conserved components of caste differentiation. Overall, our results illustrate how the study of phenotypic diversity arising from patterns of gene expression can illuminate evolutionary effects of development in animal taxa. Methods cDNA library construction, processing and assembling We constructed 11 directional cDNA libraries from several developmental stages of the wasp V. squamosa. The 11 libraries contained copies of transcripts obtained from: (i) eggs collected from queen cells; pooled female larvae from the first three early larval instars sampled from (ii) queen cells and (iii) worker cells; pooled female larvae of the fourth and fifth late larval instars sampled from (iv) queen cells and (v) worker cells; (vi) queen pupae; (vii) worker pupae; (viii) male pupae; (ix) queen adults; (x) worker adults; and (xi) male adults. The cDNA libraries were synthesized using a commercial construction kit (pBluescript® II XR cDNA Library Construction Kit; Stratagene, La Jolla, CA, USA). In total, 4224 independent clones were isolated from these libraries, and 3388 single-pass sequences were obtained using the SK primer. After cloned sequences were filtered for vector contamination and quality, we obtained 2144 expressed sequence tags (ESTs; GenBank accession numbers: EG325041–EG327184). EST processing and assembling These ESTs were grouped into clusters using the BLASTN algorithm [44]. When sequences from all 11 libraries were analyzed in parallel, 760 sequences were unique, and the remaining sequences formed 294 clusters of two or more sequences, giving a total of 1054 unigenes (Table 2). Within each library, the mean ± SE number of ESTs was 194 ± 9.2 (range 147–233), and the frequency of private ESTs was 0.38 ± 0.049 (Table 2) (range 16.8–66.3). Furthermore, the gene diversity [45] for each library, which represents the probability of drawing two distinct sequences from a library by chance, ranged from 0.970 to 0.994, indicating that the libraries contained many unique sequences (Table 2). BLASTX similarity searches [44] indicated that 52% of all the ESTs showed similarity to known sequences (e<10-5; Figure Figure4),4
Digital gene-expression analysis We clustered the 11 libraries using the neighbor-joining method based on chord distances derived from library EST frequencies in order to gain an understanding of how patterns of gene expression were associated with development [47]. Furthermore, we explored variation in the genes expressed among libraries using digital methods [48]. This approach uses large-scale non-normalized random 3' -end cDNA library sequencing [49], but is extensible to any methodical sequencing strategy. The level of expression within each tissue is estimated from the number of cognate ESTs found in each library, under the assumption that it is proportional to the transcript frequencies [50,51]. These tests were conducted with the software program IDEG6 [52]. Overall, these methods may not provide accurate estimates of the absolute frequencies of particular genes, if certain gene sequences are subject to cloning biases. In addition, these techniques are unlikely to detect genes expressed at low levels, such as those with regulatory functions. Nevertheless, this approach can be reliably used to detect genes differentially expressed among libraries. Authors' contributions EH and MG conceived the study and participated in its design and coordination. EH carried out the library construction, DNA sequencing, and EST analysis. EH and MG outlined the manuscript together and EH drafted the manuscript. Both authors have read and approved the final manuscript Acknowledgements We thank the Georgia Institute of Technology, University of Central Florida and the U.S. National Science Foundation (DEB-0640690) for providing the funds necessary for conducting this research, N. Ueda and D. Williams for help with analyses, and J. Evans for comments on an earlier version of this manuscript. References
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