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Copyright © 2006 by The National Academy of Sciences of the USA Developmental Biology Social exploitation of hexamerin: RNAi reveals a major caste-regulatory factor in termites Department of Entomology and Nematology, University of Florida, P.O. Box 110620, Gainesville, FL 32611-0620 *To whom correspondence should be addressed. E-mail: mescharf/at/ifas.ufl.edu Edited by Gene E. Robinson, University of Illinois at Urbana–Champaign, Urbana, IL, and approved January 12, 2006 Author contributions: M.E.S. designed research; X.Z. and M.E.S. performed research; X.Z. analyzed data; and F.M.O. and M.E.S. wrote the paper. Received October 10, 2005. This article has been cited by other articles in PMC.Abstract Lower termites express a unique form of eusocial polyphenism in that totipotent workers can differentiate into either soldier or reproductive caste phenotypes. In this initial effort using RNA interference in termites, we found that two hexamerin genes, Hex-1 and Hex-2, participate in the regulation of caste polyphenism. Our methodology involved a dual gene-silencing approach that used a single short-interfering RNA fragment to silence the two homologous hexamerin genes. We performed validation studies that evaluated effects on nontarget housekeeping genes, silencing of a nonhousekeeping control gene, and effects at the protein level. We found that the two hexamerin proteins, which are inducible by the morphogenetic juvenile hormone and which constitute a significant proportion of total termite protein, suppress juvenile-hormone-dependent worker differentiation to the soldier caste phenotype. This mechanism allows termite colonies to retain high proportions of altruistic worker caste members, thus apparently enhancing colony-inclusive fitness. These findings demonstrate a unique status quo regulatory mechanism for termite worker caste retention and provide an example of previously undescribed preadult developmental/caste-regulatory genes from any social insect. Keywords: sociogenomics, RNA interference, short-interfering RNA, juvenile hormone, phenotypic plasticity Termites (order Isoptera) are the only social insect group that undergoes hemimetabolous (incomplete) metamorphosis. The only other fully eusocial insects occur in the order Hymenoptera (bees, wasps, and ants) and undergo holometabolous (complete) metamorphosis. There are several other major differences between the Isoptera and Hymenoptera (1), most notably (i) isopteran workers can be either sex, whereas worker hymenopterans are always female; and (ii) immature isopterans resemble adults and are included in the worker caste, whereas immature hymenopterans require continual care by adult workers. For these reasons, it is believed that eusociality evolved independently in the Isoptera and Hymenoptera (2, 3). The order Isoptera is divided into the lower and higher termites on the basis of two distinguishing characteristics: the dependence of lower termites on protozoan symbionts for cellulose digestion and the adult status of workers in higher termites, which precludes further differentiation by workers. In lower termites such as the Reticulitermes, the worker caste is a highly plastic, totipotent immature stage. Termite caste differentiation is a postembryonic developmental process that is the result of differential gene expression (4–7). Lower termites such as the Reticulitermes undergo a caste differentiation process that is truly unique among the social insects (see Fig. 1
With respect to basal and other lower termites, the worker caste is suspended in a reversible, “temporarily altruistic” state (14) in which it can indirectly enhance the overall fitness of the colony through helping behaviors. However, because workers retain the ability to differentiate into reproductives, they have the potential to contribute genes directly to successive generations. Workers also retain the ability to differentiate to soldier caste members that are incapable of feeding and reproduction. Additionally, although the precise mechanism remains unknown, termite soldiers are capable of down-regulating the JH titers of nestmates (9, 12), possibly facilitating reproductive differentiation (12); thus, as postulated by Henderson (15), the soldier caste apparently does serve broader roles beyond defense alone. This plasticity suggests a unique need by termites for specialized physiological adaptations that suppress worker differentiation to other caste phenotypes. However, although efforts to identify specific termite caste-regulatory factors have met with some success (e.g., refs. 16 and 17), no specific genes that regulate caste polyphenism in termites, or in any other eusocial insects, have been reported to date. Several tools and resources have become available in recent years to study the molecular basis of termite caste differentiation (5, 6, 10, 11, 18). Using these tools, we previously identified two JH-responsive and morphogenesis-associated hexamerin genes that are referred to as Hex-1 and Hex-2 (6, 11). Because hexamerins have well defined roles as JH-binding proteins (19, 20), because of the well established role of JH in termite caste differentiation (15), and on the basis of our observations that one of the hexamerins (Hex-2) is highly induced in response to rising JH titers during presoldier differentiation (11), we sought to further functionally characterize the Reticulitermes flavipes hexamerins. Here, our goal was to use RNA interference (RNAi) to investigate the roles of these two hexamerins in soldier caste differentiation by worker termites. In these studies, we had two alternate hypotheses: (i) presoldier differentiation would be inhibited by hexamerin silencing or (ii) presoldier differentiation would be enhanced. As a result of these efforts, we provide evidence as to how the proteins encoded by these genes may function as part of a major caste-regulatory mechanism. Results and Discussion Effects of RNAi on Target Gene Expression. The molecular effects of RNAi on target and control gene expression were investigated by quantitative real-time PCR (qRT-PCR) in individuals sampled 24 h after injection with short-interfering RNA (siRNA) (Figs. 2
Previous RNAi studies on the hemolymph protein vitellogenin in honey bees (21, 22) have shown similar levels of silencing to Hex-1 and -2, thus there is precedence for such high-level silencing of fat-body-synthesized hemolymph proteins by the hemocoel RNA injection approach. The modest, but significant, silencing of the Cell-1 gene likely relates to its site of expression. Specifically, the fact that Cell-1 is a protein produced in the salivary glands and secreted into the R. flavipes digestive tract (X.Z., unpublished data) may limit its amenability to silencing by hemocoel siRNA injection. Further studies will be necessary to elucidate such details. Most importantly, (i) substantial levels of silencing were observed for the two target hemolymph protein-encoding genes, Hex-1 and -2, and (ii) no readily apparent off-target effects occur in association with target gene silencing. Effects of RNAi on Hexamerin Protein Expression. Five major hemolymph proteins are expressed in R. flavipes hemolymph (11). Using SDS/PAGE and N-terminal sequencing, we established the identity of Hex-1 and Hex-2 in the hemolymph (Fig. 4
Fig. 4 Phenotypic Effects of RNAi on Caste Differentiation. Fig. 5
Identical trends in JH-induced presoldier differentiation were noted for multiple colonies, including laboratory and field colonies, as well as colonies originating from geographically separate areas (Florida and Indiana). In hexamerin RNAi treatments held without external JH (Fig. 5 Summary and Conclusions. Insect hexamerins are part of a large family of hexameric proteins that are closely linked with diversifying evolution in arthropods (24). Strong evidence suggests that hexamerin-like proteins of terrestrial insects evolved from oxygen-carrying hemocyanins of ancestral aquatic insects and crustaceans (24, 25). In terrestrial insects, the hexamerins have acquired diverse storage (26) and hormone-binding functions (19). Our data suggest a previously undescribed function for termite hexameric storage proteins, which classically occur at high levels during preimaginal stages in most other insects (26). Specifically, the termite hexamerins have been exploited/co-opted during social evolution to inhibit the final worker molt to a terminally developed soldier phenotype. This caste-regulatory mechanism results in colony individuals being temporally arrested in an immature stage wherein they can function as workers. From the perspective of cellulase expression alone (5, 6) (X.Z., unpublished data), maximizing worker numbers would clearly enhance colony nutritional status, and thus overall colony fitness. Moreover, if soldier caste members are truly capable of regulating reproductive differentiation (12, 15), the hexamerin mechanism would take on even broader importance for maintaining status quo colony conditions. It has been hypothesized that caste differentiation in paper wasps evolved through exploitation of a developmental diapause switch (27), and that the foraging division of labor in the honey bee has evolved through co-option of a reproductive genetic network that includes the vitellogenin protein (28). Our data show that the developmental trait of hexamerin expression/accumulation specifically has been co-opted in termites to regulate phenotypic plasticity, and as a result, directly influences caste formation and composition. In light of our findings, it would be highly interesting to test whether hexamerins have been recruited as JH-binding, caste-regulatory factors in the hymenopteran social insects noted above, or as polyphenism-regulatory factors in other nonsocial insects (29, 30). Although the exact mechanism by which the hexamerins attenuate JH-dependent morphogenesis remains unknown, we propose two possibilities relating to JH sequestration and nutrition for further consideration. First, based on the finding that a closely related locust hexamerin serves as a JH-binding protein (19), it is possible that the termite hexamerins are capable of JH sequestration. In agreement with this, we have observed that the Hex-1 protein is recognized by the anti-JH antiserum described by Goodman et al. (31) and that immunoreactivity is reduced in the presence of competing JH and after stripping with apolar solvents (32). These observations agree with the earlier finding that RNAi-based silencing of honey bee vitellogenin, a putative JH-binding hemolymph protein, leads to increases in JH titers (22). Further, in higher insects, hexamerins have the ability to interact with homologous receptor proteins and enter fat body cells via receptor-mediated endocytosis (26). Thus, one hypothesis is that the R. flavipes hexamerins are part of a mechanism that sequesters JH in the fat body, away from membrane/nuclear JH receptors that activate morphogenesis. To conclusively test the JH sequestration hypothesis, additional research will be necessary. For this purpose, we propose a testable model whereby (i) presoldier morphogenesis ensues when JH titers exceed the binding/sequestration capacity of the hexamerin mechanism or (ii) status quo worker-to-worker molts occur when the hexamerin mechanism can successfully sequester all available JH (see Fig. 1 A second hypothesis is that the hexamerins serve as a signaling mechanism for nutritional status, and that presoldier caste differentiation is suppressed when certain nutritional requirements are met. This hypothesis is also well supported because most insect hexamerins identified to date are up-regulated during periods of active larval feeding (i.e., storage) and also participate in nutrient release during periods of metamorphosis and/or diapause (26). Studies are under way to test both the JH-sequestration and nutritional hypotheses. In conclusion, we have reported here on the elucidation of the hexamerin genes Hex-1 and Hex-2 as examples of caste-regulatory genes from a termite. A mechanism of this kind has not been previously described in a social insect. Our findings are highly significant from two perspectives. First, these findings provide insight into how termites have answered the significant eusocial challenge of worker caste maximization/retention. Without question, workforce maximization enhances inclusive fitness (14) and, therefore, must be centrally important to the evolution of present-day termite eusociality (3). Second, these findings represent the transition into a new era of sociogenomics research (33) in the highly underrepresented eusocial insect order Isoptera. This demonstration of RNAi as a viable, functional genomic tool for use in termites suggests that it will be relatively straightforward to conduct future characterization of dozens of genes identified in our laboratory (5, 6, 18) (X.Z., unpublished data), as well as in other laboratories worldwide (e.g., refs. 4–7, 18, 34, 35). In coming years, our understanding of the molecular basis of termite caste differentiation and caste polyphenism is almost certain to grow by leaps and bounds. Materials and Methods Termites. Termites designated as field colonies were collected from field sites within 1–2 weeks of use in our experiments; those designated as laboratory colonies were maintained in the laboratory for >6 months before inclusion in the experiments. The three Florida colonies (CV-20, CV-24, and J-54) were collected within 1–3 miles (1.6–4.8 km) of each other on the University of Florida campus (Gainesville). The Indiana colony (MSH) was collected ≈1,000 miles (1,609 km) distant on the Purdue University campus (West Lafayette, IN). All termites were held in darkness at 24°C and 70 ± 5% relative humidity. RNAi. Double-stranded siRNA was synthesized by using a commercially available kit (Silencer; Ambion, Austin, TX). Although extensive studies have shown that siRNAs are highly specific (36, 37), we minimized the possibility of nontarget effects by designing siRNAs to have virtually no sequence similarity to ≈300 known genes/ESTs from R. flavipes, or to other nonhexamerin genes deposited in GenBank. dsRNA templates corresponded to nonhomologous, ≈500-bp portions from the ORFs of the two genes Hex-2 and Cell-1 (see Fig. 6, which is published as supporting information on the PNAS web site). Because there is ≈50% sequence identity between Hex-1 and Hex-2 in the RNAi-targeted region, the Hex-2 RNAi fragment also allowed for the concurrent silencing of Hex-1. The template cDNAs were amplified by PCR primers that had T7 RNA polymerase sequences (TAATACGACTCACTATAGGG) appended to their 5′ ends. The dsRNA-template PCR primers (shown 5′ to 3′) were as follows: Hex-2 (forward, ATACGCCAATGGACAGGAAG; reverse, GCGCTTGAGGATTTGGTAGT) and Cell-1 (forward, AGACATGACGATGTCCAGACC; reverse, GACCCTTGGGTGTCTTCTTCT). After synthesis, the 500-bp dsRNAs were digested into siRNAs (15–25 bp) with RNase III. siRNAs corresponding to Hex-1 + -2 and Cell-1 were diluted individually in nuclease-free water to 15 pg/nl for injection into worker termites. The siRNAs (500 pg) were injected into the side of the thorax by using a microinjector fitted with a custom-pulled borosilicate glass needle, and with the assistance of a custom vacuum manifold that facilitated termite immobilization (Fig. 2 JH Bioassays. After siRNA injection, replicated groups of 15 termites were subjected to model JH bioassays as described previously (10, 11). Briefly, termites were placed on filter papers treated with 150 μg of JH III in acetone (Sigma) and 150 μl of deionized water, within 30-mm Petri dishes. It is customary that presoldier emergence begins on bioassay days 14–15 and plateaus by day 25; thus, assays are typically run for 25 d. Mortality and presoldier formation were scored every 5th day, and data were summarized as cumulative presoldier differentiation between days 14 and 25. Three injection replicates (n = 15 workers per replicate) were performed per treatment, per colony, on 3 successive days. Within-colony cumulative means were analyzed after 25 days by the Kruskal–Wallis test (n = 3; df = 1; P < 0.05 or P < 0.10). qRT-PCR and Reference Gene Selection. qRT-PCR was performed with an iCycler iQ real-time PCR detection system with iQ SYBR Green Supermix (Bio-Rad). cDNA, which served as the template for qRT-PCR, was synthesized from the total RNA of each of five individuals at 24 h after injection. Total RNA and cDNA were obtained by using the SV Total RNA isolation system (Promega) and the iScript cDNA synthesis kit (Bio-Rad), respectively, in accordance with manufacturer protocols. The suitability of the three reference/control genes, β-actin, HSP-70, and NADH-dh, was evaluated with bestkeeper (38) and normfinder (39) software. Both programs were developed to find the least-variable reference genes, to enable accurate and reliable normalization of qRT-PCR data (40). We used these programs not only to evaluate potential reference genes, but also to assess the effects of RNAi on nontarget genes. Primer sets for reference genes, shown 5′ to 3′, were as follows: β-actin (forward, AGAGGGAAATCGTGCGTGAC; reverse, CAATAGTGATGACCTGGCCGT), HSP-70 (forward, GAAGACAAGGTGAAGGC; reverse, TGCCGTGGATTGACTCTAGC), and NADH-dh (forward, GCTGGGGGTGTTATTCATTCCTA; reverse, GGCATACCACAAAGAGCAAAA). Upon direct sequencing of the β-actin qRT-PCR product, we verified that the qRT-PCR product shares 100% identity with the R. flavipes β-actin sequence (GenBank accession nos. AY572863 and DQ206832). Positions of the qRT-PCR primers for the Hex-1, Hex-2, and Cell-1 genes are shown in Fig. 6. Relative expression levels for specific genes, in relation to the most reliable reference gene (β-actin), were calculated by the 2−ΔΔCT method (41). Mean expression levels for five individuals, each assayed in triplicate, were analyzed by the Kruskal–Wallis test (n = 5; df = 1; P < 0.01 or P < 0.05). SDS/PAGE and N-Terminal Sequencing. Hemolymph proteins were collected in ice-cold PBS, quantified, and compared by 8% SDS/PAGE, in accordance with procedures described previously (11). Hemolymph was collected from pooled groups of 15 water-injected control workers or siRNA-injected workers at 2, 4, 8, or 9 days after injection. Colony workers were bled immediately upon removal from laboratory colonies. Electrophoresis and transfer were conducted with minigel and miniwet transfer cell systems (Bio-Rad). N-terminal protein sequencing was performed at the University of Florida Protein Core Facility, by using the Edmann degradation, on proteins transferred to Immobilon-P poly(vinylidene difluoride) membrane (Millipore). PAGE band intensities were quantified from three replicate gels per experiment by using quantity-one software interfaced with a Gel-Doc 2000 imager (Bio-Rad). Supporting Information
Acknowledgments We thank Michael Pfaffl and Aleksandar Radonic for discussions and advice regarding real-time PCR normalization; Drion Boucias for use of his custom injection platform; colleagues from Purdue University (G. W. Bennett, C. R. Ratliff, B. R. Pittendrigh, G. Buczkowski, and W. Sun) for assistance with earlier phases of this research; as well as the University of Florida Protein Core Facility (Ran Zhang and Scott McClung) for N-terminal sequencing. We also thank Matthew Tarver, Dan Hahn, Diana Wheeler, Claudia Husseneder, Barbara Thorne, and Prof. Charles Noirot for critical review of manuscript drafts and helpful discussions on altruism. Some photos were taken by Lyle Buss (primary reproductive, egg, nymph), Jody Green (larva, third-form reproductive), and Dean Brad (second-form reproductive). This work was supported by Procter and Gamble, Inc., and the Florida Agricultural Experiment Station, and was approved for publication as Journal Series R-11019. Abbreviations Footnotes Conflict of interest statement: No conflicts declared. This paper was submitted directly (Track II) to the PNAS office. Data deposition: The sequences reported in this paper have been deposited in the GenBank database [accession nos. AY572858 (Hexamerin-1, Hex-1), AY572859 (Hexamerin-2, Hex-2), AY572862 (Cellulase-1, Cell-1), AY572863 (beta-actin, β-actin), DQ206832 (beta-actin, β-actin), CK906362 (70-kDa cognate heat shock protein, HSP-70), and BQ788185 (NADH dehydrogenase, NADH-dh)]. References 1. Wilson E. O. The Insect Societies. Cambridge, MA: Belknap Press of Harvard Univ; 1971. 2. Thorne B. L. Annu. Rev. Ecol. Syst. 1997;28:27–54. 3. Thorne B. L., Traniello J. F. A. Annu. Rev. Entomol. 2003;48:283–306. [PubMed] 4. Miura T., Kamikouchi A., Sawata M., Takeuchi H., Natori S., Kubo T., Matsumoto T. Proc. Natl. Acad. Sci. USA. 1999;96:13874–13879. [PubMed] 5. Scharf M. E., Wu-Scharf D., Pittendrigh B. R., Bennett G. W. Genome Biol. 2003;4:R62. [PubMed] 6. 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Annu Rev Entomol. 2003; 48():283-306.
[Annu Rev Entomol. 2003]Proc Natl Acad Sci U S A. 1999 Nov 23; 96(24):13874-9.
[Proc Natl Acad Sci U S A. 1999]Genome Biol. 2003; 4(10):R62.
[Genome Biol. 2003]Insect Mol Biol. 2005 Jan; 14(1):31-44.
[Insect Mol Biol. 2005]FEBS Lett. 2005 Feb 28; 579(6):1365-70.
[FEBS Lett. 2005]Bull Entomol Res. 2003 Aug; 93(4):267-378.
[Bull Entomol Res. 2003]J Insect Physiol. 2005 Apr; 51(4):385-91.
[J Insect Physiol. 2005]Proc Natl Acad Sci U S A. 1984 Dec; 81(23):7665-7668.
[Proc Natl Acad Sci U S A. 1984]J Evol Biol. 2004 Jul; 17(4):869-75.
[J Evol Biol. 2004]Genome Biol. 2003; 4(10):R62.
[Genome Biol. 2003]Insect Mol Biol. 2005 Jan; 14(1):31-44.
[Insect Mol Biol. 2005]Insect Biochem Mol Biol. 2005 Mar; 35(3):207-15.
[Insect Biochem Mol Biol. 2005]J Biol Chem. 1996 Dec 6; 271(49):31756-62.
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[Insect Biochem Mol Biol. 2000]BMC Biotechnol. 2003 Jan 20; 3():1.
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[FEBS Lett. 2005]Insect Biochem Mol Biol. 2005 Mar; 35(3):207-15.
[Insect Biochem Mol Biol. 2005]Insect Biochem Mol Biol. 2005 Mar; 35(3):207-15.
[Insect Biochem Mol Biol. 2005]J Mol Evol. 1998 Jul; 47(1):93-108.
[J Mol Evol. 1998]Proc Natl Acad Sci U S A. 2004 Jan 20; 101(3):871-4.
[Proc Natl Acad Sci U S A. 2004]Naturwissenschaften. 1999 Oct; 86(10):468-74.
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[Science. 2005]Proc Natl Acad Sci U S A. 2003 Feb 18; 100(4):1799-802.
[Proc Natl Acad Sci U S A. 2003]Annu Rev Entomol. 1997; 42():207-30.
[Annu Rev Entomol. 1997]Proc Natl Acad Sci U S A. 2004 Dec 21; 101(51):17611-5.
[Proc Natl Acad Sci U S A. 2004]J Biol Chem. 1996 Dec 6; 271(49):31756-62.
[J Biol Chem. 1996]Arch Insect Biochem Physiol. 1995; 30(2-3):295-306.
[Arch Insect Biochem Physiol. 1995]FEBS Lett. 2005 Sep 12; 579(22):4961-5.
[FEBS Lett. 2005]Naturwissenschaften. 1999 Oct; 86(10):468-74.
[Naturwissenschaften. 1999]Naturwissenschaften. 1999 Oct; 86(10):468-74.
[Naturwissenschaften. 1999]Annu Rev Entomol. 2003; 48():283-306.
[Annu Rev Entomol. 2003]Nat Rev Genet. 2005 Apr; 6(4):257-70.
[Nat Rev Genet. 2005]Genome Biol. 2003; 4(10):R62.
[Genome Biol. 2003]Insect Mol Biol. 2005 Jan; 14(1):31-44.
[Insect Mol Biol. 2005]Proc Natl Acad Sci U S A. 1999 Nov 23; 96(24):13874-9.
[Proc Natl Acad Sci U S A. 1999]Nature. 2004 Jul 8; 430(6996):161-4.
[Nature. 2004]Genes Dev. 2001 Jan 15; 15(2):188-200.
[Genes Dev. 2001]Insect Biochem Mol Biol. 2005 Mar; 35(3):207-15.
[Insect Biochem Mol Biol. 2005]Biotechnol Lett. 2004 Mar; 26(6):509-15.
[Biotechnol Lett. 2004]Cancer Res. 2004 Aug 1; 64(15):5245-50.
[Cancer Res. 2004]Genes Immun. 2005 Jun; 6(4):279-84.
[Genes Immun. 2005]Methods. 2001 Dec; 25(4):402-8.
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[Insect Biochem Mol Biol. 2005]Bull Entomol Res. 2003 Aug; 93(4):267-378.
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