Accepted Manuscript Knockdown of the juvenile hormone receptor gene inhibits soldier-specific morphogenesis in the damp-wood termite Zootermopsis nevadensis (Isoptera: Archotermopsidae) Yudai Masuoka, Hajime Yaguchi, Ryutaro Suzuki, Kiyoto Maekawa PII:
S0965-1748(15)30029-1
DOI:
10.1016/j.ibmb.2015.07.013
Reference:
IB 2744
To appear in:
Insect Biochemistry and Molecular Biology
Received Date: 10 April 2015 Revised Date:
11 July 2015
Accepted Date: 11 July 2015
Please cite this article as: Masuoka, Y., Yaguchi, H., Suzuki, R., Maekawa, K., Knockdown of the juvenile hormone receptor gene inhibits soldier-specific morphogenesis in the damp-wood termite Zootermopsis nevadensis (Isoptera: Archotermopsidae), Insect Biochemistry and Molecular Biology (2015), doi: 10.1016/j.ibmb.2015.07.013. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Met expression
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Soldier differentiation
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ZnMet RNAi
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Knockdown of the juvenile hormone receptor gene inhibits soldier-
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specific
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nevadensis (Isoptera: Archotermopsidae)
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the
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damp-wood
termite
Zootermopsis
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morphogenesis
Yudai Masuoka, Hajime Yaguchi, Ryutaro Suzuki and Kiyoto Maekawa
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Graduate School of Science and Engineering, University of Toyama, Toyama,
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Japan
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Abstract
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The Methoprene-tolerant (Met) protein has been established as a juvenile
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hormone (JH) receptor. Knockdown of the Met gene caused precocious
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metamorphosis and suppression of ovarian development. However, the function
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of Met in caste development of social insects is unclear. In termites, JH acts as
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a central factor for caste development, especially for soldier differentiation,
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which involves two molts from workers via a presoldier stage. Increased JH titer
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in workers is needed for the presoldier molt, and the high JH titer is maintained
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throughout the presoldier period. Although presoldiers have the fundamental
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morphological features of soldiers, the nature of the cuticle is completely
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different from that of soldiers. We expected that JH signals via Met are involved
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in soldier-specific morphogenesis of the head and mandibles during soldier
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differentiation, especially in the presoldier period, in natural conditions. To test
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this hypothesis, we focused on soldier differentiation in an incipient colony of
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the damp-wood termite Zootermopsis nevadensis. Met homolog (ZnMet)
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expression in heads increased just after the presoldier molt. This high
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expression was reduced by ZnMet double stranded (dsRNA) injection before
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the presoldier molt. Although this treatment did not cause any morphological
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changes in presoldiers, it caused strong effects on soldiers, their mandibles
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being significantly shorter and head capsules smaller than those of control
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soldiers. Injection of ZnMet dsRNA throughout the presoldier stage did not
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affect the formation of soldier morphology, including cuticle formation. These
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results suggested that the rapid increase in ZnMet expression and subsequent
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activation of JH signaling just after the presoldier molt are needed for the
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formation of soldier-specific weapons. Therefore, besides its established role in
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insect metamorphosis, the JH receptor signaling also underlies soldier
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development in termites.
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37 Highlights
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・ Role of the Methoprene-tolerant (Met) gene in termite soldier differentiation
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・ RNAi knockdown of Met prior to presoldier molt suppressed morphogenesis of soldier-specific characters.
・ JH acts through its receptor Met to direct social cast polyphenism in termites.
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was examined.
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Keywords
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juvenile hormone, methoprene-tolerant, termites, soldier differentiation
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1. Introduction
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Juvenile hormone (JH) has pleiotropic functions and works as an important
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regulator of insect molting, metamorphosis, dormancy, reproduction and
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polyphenism, such as caste differentiation (Nijhout, 1994; Riddiford, 2008).
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Despite its important role, the JH signaling cascade is only partially understood.
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However, the methoprene-tolerant (Met) protein, which contains basic-helix-
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loop-helix (bHLH) and Per-Arnt-Sim (PAS) domains, has been established as a
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JH receptor in insects (Charles et al., 2011; Jindra et al., 2015). The function of
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Met, especially with regard to metamorphosis and reproduction, has been
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analyzed in some model insect species (Jindra et al., 2013; Smykal et al.,
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2014). For example, in the red flour beetle Tribolium castaneum and the firebug
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Pyrrhocoris apterus, knockdown of Met expression during the nymphal stage
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caused precocious metamorphosis (Konopova & Jindra, 2007; Konopova et al.,
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2011). Furthermore, ovarian development was repressed by Met knockdown in
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the viviparous cockroach Diploptera punctata (Marchal et al., 2014). In contrast,
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studies on other Met functions, including caste differentiation in social insects,
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are very limited. For termites, in particular, the only report in the literature is by
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Saiki et al. (2015), and it showed that Met was involved in fecundity via
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vitellogenin gene expression during reproductive caste differentiation in the
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rhinotermitid termite Reticulitermes speratus. However, the role of Met in caste
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differentiation and caste-specific morphogenesis is unknown.
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In termites, JH is the central factor in caste differentiation (Watanabe et al.,
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2014; Korb, 2015). Acquisition of a caste is the most important step for termite
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social evolution (Howard & Thorne, 2011). In particular, because a soldier is
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expected as the first sterile caste (Nalepa, 2011), clarification of the proximate
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mechanism of soldier differentiation is necessary to understand the whole
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picture of termite social evolution. In soldier differentiation, increased JH titer in
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workers is needed, and two molting processes (worker−presoldier and
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presoldier−soldier) always occur in all species examined (Noirot, 1985; Roisin,
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1996; Miura & Scharf 2011; Masuoka et al., 2013). Tens of studies confirmed
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that presoldier morphological changes were induced by JH (or JH analog)
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treatment of workers in some species (e.g. Scharf et al., 2003; Cornette et al.,
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2006; Tsuchiya et al., 2008; Toga et al., 2009; Maekawa et al., 2014).
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Moreover, based on JH quantification analyses, high JH titer was confirmed
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throughout the presoldier period in the damp-wood termite Hodotermopsis
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sjostedti (Cornette et al., 2008). Consequently, during soldier differentiation, JH
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may be involved not only in the determination of soldier differentiation, but also
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in other functions, such as in the morphogenesis of soldier-specific weapons
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(Watanabe et al., 2014). To clarify these roles of JH during soldier
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differentiation, functional analysis of Met should be performed. Although, in
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some species, analyses of the genes expressed via increased JH titer have
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been performed in the worker−presoldier molt using artificial induction methods
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(e.g. Cornette et al., 2006; Toga et al., 2012), the roles of Met during soldier
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differentiation remain a mystery. Here, we analyzed Met expression and
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function during soldier differentiation (worker−presoldier−soldier molts) of
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Zootermopsis nevadensis. Expression levels of the JH-inducible transcription
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factor Krüppel-homolog1 (Kr-h1) and the downstream gene Broad-complex (Br-
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C) were also analyzed to determine JH signaling activity in each individual. This
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species has a linear caste developmental pathway, in which late-instar larvae
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(engaged in worker tasks) differentiate into soldiers via a presoldier stage in the
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mature colony (Itano and Maekawa, 2008; Saiki et al., 2014). However, in the
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colony initiation stage (i.e. an incipient colony), early-instar larvae (the oldest
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3rd instar) always molt into presoldiers and soldiers (Itano and Maekawa, 2008;
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Maekawa et al., 2012; Fig. S1). Consequently, we focused on soldier
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differentiation in an incipient colony to analyze the two molting processes (3rd
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instar larva−presoldier, and presoldier−soldier) in natural conditions without JH
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(or JH analog) treatment.
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2. Materials & Methods
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2.1. Insects
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Several mature colonies were collected from laurel forests in Hyogo Prefecture,
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Japan, in May 2013 and 2014. Colonies were brought to the laboratory and kept
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in plastic cases at approximately 25°C in constant
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emergence of newly molted alates (winged adults). In accordance with previous
darkness until the
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studies (Itano & Maekawa, 2008; Maekawa et al., 2012), 120 incipient colonies
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were founded by male and female alates in petri dishes, and these dishes were
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kept in plastic cases at approximately 25°C in cons tant darkness. In the
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absence of a soldier in the incipient colony of this species, the oldest 3rd instar
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(Individual that first molted into L3; No. 1 larva) molts into a presoldier, and then
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a soldier (Fig. S1). However, in the presence of a soldier, second or third molted
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L3 (No. 2 or No. 3 larvae) molt into L4 larvae (Maekawa et al., 2012). Because
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L3 (except for the No. 1 larva) and L4 normally function as workers in the
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incipient colonies, we called them workers in this study. For experiments during
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worker−presoldier and presoldier−soldier molts, No. 1 larvae were used. For
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those during worker−worker molts, No. 2 or No. 3 larvae were used.
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2.2. cDNA synthesis and cloning
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Total RNA was extracted from workers and soldiers (whole bodies) using
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ISOGEN (Nippon Gene, Tokyo, Japan). cDNA was synthesized using a
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SMARTer RACE cDNA Amplification Kit (Clontech Laboratories, Mountain
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View, CA, USA). The cDNA fragments were amplified by 3’-rapid amplification
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of DNA amends (RACE) PCR. Gene-specific forward primers (Table S1) were
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designed against conserved regions of the Met and Kr-h1 homologs in D.
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punctata (GenBank accession Nos. KJ564130 and KJ564131, respectively) and
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R. speratus (GenBank accession No. LC017912 and LC017913, respectively).
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The PCR products were purified using a QIAquick gel extraction kit (Qiagen,
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Tokyo, Japan) and subcloned into a pGEM-T Easy Vector (Promega, Madison,
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WI, USA). The inserted DNA was amplified by PCR using primers SP6 and T7
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and purified using ExoSAP-IT (Affymetrix, Santa Clara, CA, USA). The purified
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products (five clones per gene) were sequenced using a BigDye Terminator
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v3.1 cycle sequencing kit (Applied Biosystems, Waltham, MA, USA) and an
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automatic DNA sequencer 3130 Genetic Analyzer (Applied Biosystems).
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Obtained sequences were subjected to BLAST database searches using the
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NCBI server. Especially for Met, the deduced amino acid sequence was aligned
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with published sequences of some other taxa (termite, R. speratus; cockroach,
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Blattella germanica, D. punctate; beetle, T. castaneum; moth, Bombyx mori;
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water flea, Daphnia pulex) using MUSCLE with MEGA6 (Tamura et al., 2013).
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2.3. Gene expression
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For gene expression analysis during each molt, total RNA was extracted using
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ISOGEN (NipponGene, Tokyo, Japan) from the heads of individuals (n = 4)
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sampled at each time point (3, 2, and 1 days before molting and 0, 1, 3, 5, and
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7 days after the molt). Extracted RNA was treated with RNase-free DNaseI
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(Takara, Shiga, Japan) to remove genomic DNA. The purity and concentration
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of extracted RNA was confirmed using a NanoVue spectrophotometer (GE
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Healthcare Bio-Sciences, Uppsala, Sweden). Moreover, integrity of extracted
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RNA was checked by the Agilent 2100 bioanalyzer (Agilent Technologies,
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California, USA) using randomly selected samples (four samples from each
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molt process, total 12 samples). We confirmed that all RNA samples examined
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were not damaged and high quality. cDNAs were synthesized from equal
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concentrations of total RNA (2 µg) using a High Capacity cDNA Reverse
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Transcription Kit (Applied Biosystems). The relative quantification of transcripts
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was performed using a THUNDERBIRD SYBR qPCR Mix (TOYOBO, Osaka,
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Japan) with Mx3005P Real-Time QPCR System (Agilent Technologies) and
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Mini Opticon Real-Time PCR System (Bio-Rad, California, USA). We designed
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gene-specific primers (Table S1) using Primer3 plus software (Untergasser et
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al., 2007). We confirmed the melt curve with one peak and amplified efficiencies
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of each primer pair (within 80-123%; Table S1). To select an endogenous
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control with constitutive expression, the suitability of six reference genes of this
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species, EF1-alfa (Accession No. AB915828), beta-actin (No. AB915826),
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NADH-dh (No. AB936819) and three ribosomal protein genes (RS49: GeneID:
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KDR21989, RPS18: KDR22651 and RPL13a: KDR22610; Terrapon et al.,
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2014) were evaluated using GeNorm (Vandesompele et al., 2002) and
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NormFinder (Andersen et al., 2004). Relative expression levels of target genes
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were calculated by adopting the standard curve method. Expression levels were
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calculated using technical triplicates, because of the limited numbers of
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individuals examined; L3 and presoldier were basically only one individual in
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each colony and it was very hard to collect many samples. Statistical analysis
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was performed using Tukey’s test for comparison among developmental stages.
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2.4. dsRNA synthesis and injection
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For dsRNA synthesis, the partial cDNA sequence (585 bp) of Met homologs of
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Z. nevadensis (ZnMet, see results) were amplified using gene-specific primers
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(Table S1 and Fig. S2), and subcloned into a pGEM-T Easy Vector (Promega).
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To avoid an off-target effect of the target sequence, we utilized the genome
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sequence data of this species (Terrapon et al., 2014). First, we searched the
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most effective siRNA in the obtained partial sequences using siDirect ver. 2.0
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(Naito et al., 2009). Next, we searched this sequence (CTG TTA TAA CAT CTT
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TAG TGT CT; see Fig. S2A for the position) in the published genome database
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(gene model OGSv2.2). Then, we confirmed that this sequence was only
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observed in the ZnMet sequence. A control GFP cDNA sequence (706 bp) was
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amplified from GFP vector pQBI-polII (Wako, Osaka, Japan). Primer sequences
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were as reported in Toga et al. (2012). ZnMet and GFP dsRNAs were
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transcribed using T7 RNA polymerase with a MEGA script T7 transcription kit
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(Ambion, Austin, TX, USA) from cDNA sequences purified using a QIAquick gel
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extraction kit (Qiagen). ZnMet or GFP dsRNA (500 ng in 136 nL) was injected
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into the side of the thorax of workers or presoldiers using a Nanoliter 2000
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microinjector (World Precision Instruments, Sarasota, FL, USA) fitted with a
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glass needle. To check for the knockdown of gene expression, individuals were
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collected 3 days after dsRNA injection (n = 4 per each treatment) and used for
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expression analysis as shown in the previous section. Expression levels were
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calculated using biological quadruplicates to consider the individual differences
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of RNAi effects. Statistical analysis was performed using Mann-Whitney’s U test
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for the comparison between ZnMet and GFP dsRNA treatments.
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After dsRNA injection treatment, newly molted presoldiers and soldiers were
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collected every 24 hours for the observation of phenotypic effects. Soldiers
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were maintained for 7 days in their original colonies to complete cuticular
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pigmentation (c.f. Masuoka et al., 2013) (n = 4−15 per treatment). Presoldiers
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were collected from gut purging to the soldier molt (n = 10 per treatment). They
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were preserved in the FAA solution (ethanol : formalin : acetic acid = 16 : 6 : 1)
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for 24 h and stored in 70% ethanol. Fixed individuals were placed on a
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microscope slide and images of their heads and bodies were taken using a
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SZX10 stereo microscope and 3CCD digital camera XD250-2D (Olympus,
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Tokyo, Japan). Measurements of nine soldier-characteristic traits (left mandible
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length, head capsule length and width, pronotum length and width, hind femur
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length and width, and hind tibia length and width; Koshikawa et al., 2002) were
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measured using XD Measurement software (Olympus). Principal component
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analysis (PCA) was performed based on these nine measurements using
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statistical software Mac Multivariate Statistical Analysis ver. 1.0a (Esumi, Tokyo,
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Japan). Left mandible and head capsule lengths of dsRNA-treated soldiers
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were compared, and two-way analysis of variance (ANOVA) and Scheffe’s F
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test were used for statistical analyses using Mac Statistical Analysis ver. 2.0
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(Esumi). Moreover, from the captured images of their mandibles and head
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capsules, ten points were chosen at random per individual using Adobe
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Photoshop CS software 7.0 (Adobe Systems Inc., San Jose, CA, USA). The
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color properties of each individual were evaluated as the average of values for
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brightness (c.f. Tsuchida et al., 2010; Masuoka et al., 2013). Statistical analysis
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was performed using Mann-Whitney’s U test for comparison between ZnMet
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and GFP dsRNA treatments.
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3. Results
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3.1. Cloning of JH signaling genes
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We performed RT-PCR using degenerate primers and 3’-RACE, and obtained
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two partial sequences (2,099 bp and 987 bp; Fig. S2A, B). One of the cDNA
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sequences encoded three domains (bHLH, PAS_A and PAS_B) that are well
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conserved in Met homologs of other species (Ashok et al., 1998). The deduced
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amino acid sequence (699 aa) was subjected to BLASTP searches, and was
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found to be 67-69% similar to the Met homologs of other insect species (D.
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punctata, GenBank accession no. AIM47235; B. germanica, CDO33887). The
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aligned sequences with some taxa showed the conservation of all domains
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shown above (Fig. S2C). The other cDNA sequences contained C2H2 Zn-finger
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domains that are well conserved in Kr-h1 homologs of other species (Minakuchi
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et al., 2009). The deduced amino acid sequence (328 aa) was subjected to
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BLASTP searches, and found to be 86-94% identical to Kr-h1 homologs in
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other insect species (R. speratus, GenBank accession no. LC017913; B.
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germanica, CCC55948). We regarded these two sequences as Met and Kr-h1
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homologs of Z. nevadensis, and named them ZnMet and ZnKr-h1, respectively.
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The presence of these sequences was confirmed in Z. nevadensis genomic
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sequences (gene model OGSv2.2; Terrapon et al., 2014). The determined
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nucleotide
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DDBJ/EMBL/GenBank databases (accession no. LC062714, LC062715). ZnBr-
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C sequence was obtained from the database (GeneID: KDR08439; Terrapon et
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3.2. Expression analysis during caste differentiation
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To understand the JH signaling activity during soldier differentiation, we
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compared ZnMet, ZnKr-h1 and ZnBr-C expression patterns among worker
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(L3)−presoldier, presoldier−soldier and worker−worker (L3−L4) molts in the
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incipient colony. First, we investigated the time schedule during each molting
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process (Fig. S1). Workers (L3) with yellowish-white abdomens, because of gut
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purging, emerged in the incipient colony with a soldier. They molted into next
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instar workers (L4) 3.4 ± 0.57 days after gut purging (mean ± S.D., n = 65). In
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the case of colonies without soldiers, gut-purged workers (L3) molted into
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presoldiers after 3.1 ± 0.51 days (n = 136), and gut-purged presoldiers emerged
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6.7 ± 0.75 days after the presoldier molt (n = 66). Then, they molted into
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soldiers after a further 3.5 ± 0.66 days (n = 56). Next, we performed gene
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expression analysis of the heads every 24 hours during each molt from 3 days
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before the molt (day −3) to 7 days after the molt (day 7). Both GeNorm and
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NormFinder software showed that the expression levels of RPL13a were the
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most stable (Table S2). In the worker−worker molt, gene expression levels of
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both ZnMet and ZnKr-h1 were up-regulated before the molt (day −1) and
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dropped just after the molt (day 0; Fig. S3). In contrast, during soldier
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differentiation, both gene expression levels increased just after each molt (day
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0; Fig. 1). Furthermore, ZnBr-C expression was also up-regulated just after the
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presoldier molt (Fig. 1), whereas this peak was not observed during the
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worker−worker molt (Fig. S3).
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3.3. Effects of ZnMet dsRNA injection in the presoldier period
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To elucidate the role of ZnMet in the presoldier period, we injected dsRNA
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every 24 hours in the presoldier period [total 9 days (day 0−9), n = 4−15 per
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treatment per day]. The expression level of ZnMet in individuals collected 3
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days after dsRNA injection (injected on day 1) was less than half of that in
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control individuals (Fig. S4). However, the morphology of soldiers after the molt
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was completely normal regardless of injection timing (Fig. 2). The brightness of
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the soldier cuticles in the head capsule had no significant differences compared
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with those of control individuals (Fig. S5). Because gene expression was not
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immediately reduced by dsRNA injection, there was a possibility that
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knockdown of high expression on day 0 (Fig. 1) could not be conducted
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efficiently. Thus, we performed dsRNA injection analysis 1−3 days before the
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presoldier molt to reduce the high expression level just after the molt (day 0 in
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the presoldier period; Fig. 1).
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3.4. Effects of ZnMet dsRNA injection before the presoldier molt
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Injection of dsRNA before the presoldier molt (after gut purging) caused an
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approximately 40% knockdown of ZnMet expression levels just after the molt,
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compared with those of the control treatment (Fig. S6A). The expression levels
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of ZnKr-h1 were also significantly lower than those of the control (Fig. S6B).
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Presoldiers that molted after dsRNA injection exhibited normal phenotypes in
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both treatments (Fig. S7). The mandibular and head-capsule lengths of molted
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presoldiers after ZnMet dsRNA injection were not significantly different from
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those of the control (Fig. S8). On the other hand, all molted soldiers that
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emerged after ZnMet dsRNA treatment before the presoldier molt were quite
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small (Fig. 3). PCA using measurements of nine characteristic traits of soldiers
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showed that these soldiers (solid triangles) were plotted completely separately
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from other soldiers, including control treatment (all squares and white triangles),
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but plotted near presoldiers (circles; Fig. 4). Moreover, the head-capsule and
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mandibular lengths of dsRNA-treated soldiers were compared. Two-way
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ANOVA was performed and interaction was detected between dsRNA injection
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timing and treatments in both measurements (head capsule: d.f. = 7, F = 3.76, p
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= 2.21E−3; mandible: d.f. = 7, F = 4.78, p = 3.19E−4). The result showed a
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statistical difference among dsRNA injection timings for both measurements
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(head capsule: d.f. = 7, F = 9.74, p = 9.93E−8; mandible: d.f. = 7, F = 11.37, p =
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1.07E−8). Significant differences were also found between ZnMet and GFP
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dsRNA treatments in both measurements (head capsule: d.f. = 18, F = 1.72, p =
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2.56E−8; mandible: d.f. = 18, F = 1.96, p = 9.13E−8). Both measurements of
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soldiers that emerged after ZnMet dsRNA treatment before the presoldier molt
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were significantly shorter than those of any other soldiers examined (Figs. 5A,
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B; two-way ANOVA followed by Scheffe’s F test, p < 0.05).
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320 4. Discussion
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In this study, we performed expression and function analyses of ZnMet during
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soldier differentiation of Z. nevadensis in an incipient colony without any artificial
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induction methods. The results clearly showed that ZnMet expression was
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involved in the formation of soldier-specific morphological characters (i.e.
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weapons). This is the first report on the function of Met during termite soldier
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differentiation.
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4.1. Expression pattern of ZnMet, ZnKr-h1 and ZnBr-C during soldier
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differentiation
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Expression levels of ZnMet and ZnKr-h1 increased abruptly just after the
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presoldier molt, but not after the soldier and worker molts. Generally in
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hemimetabolous insects, Met expression levels had low fluctuation during each
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molt in contrast to Kr-h1 expression (Konopova et al., 2011). These distinctive
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patterns observed after the presoldier molt were quite similar to those of
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pupation in the holometabolous red flour beetle T. castaneum, rather than those
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of a nymphal molt in the hemimetabolous firebug P. apterus and the German
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cockroach B. germanica (Parthasarathy et al., 2008; Minakuchi et al.,
339
2009; Konopova et al., 2011; Lozano and Belles, 2014). Furthermore, ZnBr-C
340
expression pattern was also similar to that of ZnMet during the presoldier molt.
341
Because Br-C is involved in the pupation via the synthesis of pupae-specific
342
cuticular protein in the holometabolous insects (Zhou & Riddiford, 2002), Br-C
343
may also have some presoldier-specific roles influenced by the JH signaling
344
pathway. All of these results obtained suggested that there is a developmental
345
similarity between the presoldier molt and pupation of holometabolous insects,
346
both of which are associated with drastic morphological changes. In fact, in
347
other termites with nasute soldiers (termitid subfamily Nasutitermitinae),
348
concentric circular structure similar to the imaginal disc of holometabolous
349
insects was constructed in the heads during soldier differentiation to form a
350
horn-like projection (Miura & Matsumoto, 2000; Toga et al. 2009). It has been
351
suggested
352
metamorphosis through the pupal stage (Miura & Matsumoto, 2000; Miura,
353
2001). Our results are not inconsistent with this hypothesis from a view point of
354
the gene expression pattern. To discuss this issue, physiological and gene
355
expression profiles should be clarified in the presoldier period in natural
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that
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holometabolous
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conditions, and compared with the pupation of T. castaneum and other
357
holometabolous insects.
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360
Injection of ZnMet dsRNA throughout the presoldier period did not affect the
361
formation of soldier morphology. Expression of ZnMet in the presoldier period
362
after dsRNA injection might not be involved in soldier-specific external
363
morphogenesis, including cuticle coloration. However, there is a possibility that
364
specific internal morphological changes during soldier differentiation (e.g.
365
neuronal modification; Ishikawa et al., 2008) may be affected by JH signaling
366
activity via Met expression in the presoldier period. Further morphological and
367
histological observations of dsRNA-injected individuals should be performed to
368
evaluate this issue. Moreover, in some insects, it was suggested that there was
369
a developmental relationship between cuticle formation and ecdysteroid
370
signaling activity (Futahashi et al., 2007; Hiruma & Riddiford, 2009). In the
371
rhinotermitid termite R. speratus, Laccase2 (Lac2: a key gene of the tyrosine
372
metabolic pathway involved in cuticular tanning in insects; Arakane et al., 2005,
373
2009) was highly expressed during the soldier molt, compared with the worker
374
and presoldier molts (Masuoka et al., 2013). Because Lac2 expression was
375
suggested to be regulated by ecdysteroid signaling in the honey bee
376
Apis mellifera (Elias-Neto et al., 2010), termite soldier cuticle formation might
377
also be controlled by ecdysteroid as well as JH signaling. Although high JH titer
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is maintained during termite soldier differentiation (e.g. Cornette et al., 2008),
379
the cuticular nature changes extraordinarily during each molt (Masuoka et al.,
380
2013); from brown and hard (worker), then white and soft (presoldier), and
381
finally to brown-black and very hard (soldier). Further developmental analyses
382
are needed to understand the crosstalk between JH and ecdysteroid signaling
383
involved in soldier-specific cuticle formation.
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384
Expression levels of not only ZnMet but also ZnKr-h1 just after the presoldier
386
molt were reduced by ZnMet dsRNA injection before the presoldier molt,
387
suggesting that ZnMet expression in the worker stage is involved in JH
388
signaling activity just after the presoldier molt. Interestingly, ZnMet dsRNA
389
injection at this time point did not cause any morphological changes in
390
presoldiers, but caused strong effects on soldiers leading to short mandibles
391
and small head capsules. These results suggested that a rapid increase in
392
ZnMet expression and subsequent activation of JH signaling just after the
393
presoldier molt are needed for the formation of soldier-specific weapons.
394
Furthermore, these results also indicated that JH is the crucial factor for not only
395
the determination of soldier differentiation but also the growth of soldier-specific
396
traits during the presoldier period. Based on knockdown experiments of the
397
insulin receptor gene, Hattori et al. (2013) suggested that insulin signaling was
398
involved in mandibular formation during the JHA-induced presoldier molt in H.
399
sjostedti. A similar mechanism may exist in the soldier molt, and the rapid
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activation of JH signaling probably occurred first. In holometabolous insects,
401
such as the dung beetle Onthophagus taurus, JH and insulin signaling are
402
involved in the determination of body size and the formation of exaggerated
403
traits (e.g. horns) (Moczek & Nijhout, 2002; Emlen et al., 2006). Further
404
analyses on the crosstalk between JH and insulin signaling to form exaggerated
405
soldier weapons should be performed.
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406
In this study, there were no presoldier phenotypic effects when the dsRNA
408
injection was performed before the presoldier molt. This is probably because
409
the experimental time was insufficient for the RNAi to take effect, or alternatively
410
presoldier morphogenesis is independent of JH. Because presoldier formation
411
can be induced by JH or its analogs, it may not be independent of JH signaling.
412
Thus, the lack of phenotypic effects may just be due to insufficient time given for
413
the RNAi to take effect. There is a possibility that the injection in the earlier
414
stages (L2 larvae or L3 larvae before the gut purging) may affect presoldier-
415
specific morphogenesis or stop the presoldier molt. We are now expanding our
416
study to address this issue.
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4.3. Conclusion
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The roles of JH in soldier differentiation have focused especially on the
420
presoldier molt, because it can be induced by artificial treatment. In this study,
421
however, using an incipient colony of Z. nevadensis, we could focus on not only
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the presoldier molt but also the soldier molt in natural conditions. The results
423
suggested that JH signaling activity caused by a rapid increase in ZnMet
424
expression just after the presoldier molt is involved in the formation of soldier-
425
specific weapons. These roles of JH during the presoldier period, i.e. not only a
426
determining factor of soldier differentiation but also as a growth factor for
427
soldier-specific traits, are clarified here for the first time. Soldier differentiation
428
with drastic morphological changes might be regulated by different temporal
429
roles of JH during the presoldier and soldier molts.
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430 Acknowledgement
432
We are grateful to Dr. Tsutomu Tsuchida (University of Toyama) who helped for
433
qPCR and bioanalyzer experiments. Thanks are also due to Akiko Fujiwara,
434
Takashi Sugimoto, Kouhei Toga, Ryota Saiki, Takaya Inoue, Syutaro Hanmoto
435
and Souichiro Kawamura for their help during both field and laboratory work.
436
This study was supported in part by Grant-in-Aids for Scientific Research (Nos.
437
24570022 and 25128705 to KM) from the Japan Society for the Promotion of
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Science.
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Figure legends
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Fig. 1
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ZnMet (upper), ZnKr-h1 (middle) and ZnBr-C (lower) expression changes in the
673
heads of Z. nevadensis during soldier differentiation. Each expression levels
674
were normalized by RPL13a expression. Relative expression levels (mean ±
675
S.D., technical triplicates) were calibrated using the mean expression level of
676
workers (3 days before the presoldier molt) as 1.0. Three real-time quantitative
677
PCR analyses were performed using the same cDNA sample (four different
678
individuals were used; see the section 2.3.) of each time point in the molting
679
process. Different letters above the bars denote significant differences (Tukey’s
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test, P < 0.05).
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Fig. 2
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Head and mandibles of soldiers 7 days after the soldier molt. GFP or ZnMet
684
dsRNA was injected each day in the presoldier period (days 0−9). The fraction
685
(4−15/4−15) shows the number of individuals with similar phenotypes shown in
686
each photo (numerator) and the numbers examined (denominator). Scale bar
687
indicates 1 mm. Relative change in ZnMet expression during presoldier period
688
(Fig. 1) is shown in the upper graph.
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Soldier head morphology affected by the dsRNA injection just before the
692
presoldier molt. Both soldiers were photographed 7 days after the soldier molt.
693
GFP or ZnMet dsRNA was injected before the presoldier molt. The fraction
694
(10/10) shows the number of individuals with similar phenotypes shown in each
695
photo (numerator) and the numbers examined (denominator). Scale bar
696
indicates 1 mm.
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697 Fig. 4
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Plots of the principal component analysis based on measurements of external
700
morphology in each dsRNA-injected individual. A contribution ratio of each
701
principal component is indicated in parentheses. Based on each Eigen-vector,
702
first and second principal components mainly indicated a difference in body size
703
and in weapon size, respectively. Black and white plots indicate ZnMet and
704
GFP dsRNA-injected individuals, respectively. Squares indicate molted soldiers
705
after dsRNA injection during the presoldier period (days 0−9; Fig. 2). Triangles
706
indicate molted soldiers after dsRNA injection before the presoldier molt (bpm;
707
Fig. 3). Circles indicate molted presoldiers after dsRNA injection before the
708
presoldier molt.
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Fig. 5
711
Head capsule (A) and left mandible (B) lengths (mean ± S.D., n = 4) of molted
712
soldiers after dsRNA injection at each time point before the presoldier molt
ACCEPTED MANUSCRIPT
(bpm) and at days 0−9 during the presoldier period. Note that day 7 to 9 during
714
the presoldier period correspond to day 3 to 1 before the soldier molt (bsm).
715
Black and gray columns indicate ZnMet and GFP dsRNA-injected individuals,
716
respectively. Asterisks indicate a significant difference (two-way ANOVA
717
followed by Scheffe’s F test, p < 0.05).
SC
718
RI PT
713
Fig. S1
720
Developmental pathway of Z. nevadensis (modified from Heath, 1927; Castle,
721
1936; Saiki, et al., 2014) (A) and three focal molts shown as the boxed area in
722
A (B). Soldiers differentiate from 5−7th instar larvae (L5−7) via the presoldier
723
stage in the mature colonies. In incipient colonies, however, presoldiers
724
differentiate from 3rd instar larva (L3) (Maekawa et al. 2012). L: larva, N:
725
nymph, Neo: neotenic, A: alate, PS: presoldier, S: soldier. See the text for
726
details.
EP
727
TE D
M AN U
719
Fig. S2
729
Partial cDNA sequences and deduced amino acid (aa) sequences of ZnMet (A),
730
ZnKr-h1 (B) and an alignment of ZnMet aa sequence with those of some taxa
731
(Reticulitermes speratus, LC017912; Diploptera punctata, AIM47235; Blattela
732
germanica, CDO33887; Tribolium castaneum, NP_001092812; Bombyx mori,
733
ACJ04052; Daphnia pulex, BAM83853) (C). The nucleotides in white letters
734
indicate conserved domains; basic-helix-loop-helix (bHLH) DNA-binding domain
AC C
728
ACCEPTED MANUSCRIPT
and two Per-Arnt-Sim (PAS) domains (Ashok et al., 1998) in ZnMet (A), and
736
four C2H2 Zn-finger domains (Minakuchi et al., 2009) in ZnKr-h1 (B). The boxed
737
area and solid underline show the sequences for dsRNA synthesis and primers
738
for qPCR analysis, respectively.
RI PT
735
739 Fig. S3
741
ZnMet (upper), ZnKr-h1 (middle) and ZnBr-C (lower) expression changes in
742
heads during the worker molt. Each expression levels were normalized by
743
RPL13a expression. Relative expression levels (mean ± S.D., technical
744
triplicates) were calibrated using the mean expression level of workers (3 days
745
before the worker molt) as 1.0. Three real-time quantitative PCR analyses were
746
performed using the same cDNA sample (four different individuals were used;
747
see the section 2.3.) of each time point in the molting process. Different letters
748
above the bars denote significant differences (Tukey’s test, P < 0.05).
749 Fig. S4
AC C
750
EP
TE D
M AN U
SC
740
ACCEPTED MANUSCRIPT
Expression levels (mean ± S.D., biological quadruplicates) of ZnMet in the
752
heads of presoldiers at 3 days after dsRNA injection during the presoldier
753
period (injected on day 1). Each expression levels were normalized by RPL13a
754
expression. Relative expression levels were calibrated using the mean
755
expression level of GFP dsRNA-injected individuals as 1.0. Asterisks denote
756
significant differences (Mann-Whitney’s U test, P < 0.05).
SC
RI PT
751
757 Fig. S5
759
Brightness of the molted soldier cuticles in the head capsule (mean ± S.D., n =
760
4) after dsRNA injection before the presoldier molt. N.S. indicates no significant
761
difference (Mann-Whitney’s U test, P < 0.05). See the text for the detail
762
methods to measure the values.
TE D
763
M AN U
758
Fig. S6
765
Expression levels (mean ± S.D., biological quadruplicate) of ZnMet (A) and
766
ZnKr-h1 (B) in the heads of presoldiers just after molting. GFP or ZnMet dsRNA
767
was injected before the presoldier molt. Each expression levels were
768
normalized by RPL13a expression. Relative expression levels were calibrated
769
using the mean expression level of GFP dsRNA-injected individuals as 1.0.
770
Asterisks denote significant differences (Mann-Whitney’s U test, P < 0.05).
AC C
EP
764
771 772
Fig. S7
ACCEPTED MANUSCRIPT
Presoldiers photographed 3 days after the presoldier molt. GFP or ZnMet
774
dsRNA was injected before the presoldier molt. The fraction (10/10) shows the
775
number of individuals with similar phenotypes shown in each photo (numerator)
776
and the number examined (denominator). Scale bar indicates 1 mm.
RI PT
773
777 Fig. S8
779
Head capsule (A) and left mandible (B) lengths (mean ± S.D., n = 4) of molted
780
presoldiers after dsRNA injection before the presoldier molt. N.S. indicates no
781
significant difference (Mann-Whitney’s U test, P < 0.05).
M AN U
SC
778
782 Table S1
784
Primer sequences used in this study and the amplified efficiencies of each
785
primer pairs.
TE D
783
EP
786 Table S2
788
Ranking of reference genes to normalize target gene expressions. Values in the
789
parentheses indicate the stability values (M), which were calculated by the
790
GeNorm and NormFinder. Both softwares recommended RPL13a for the
791
reference gene.
792
AC C
787
ACCEPTED MANUSCRIPT a bcd bcd bcd
def
de ef
de f
ab
0
-3 -2 -1 worker (3rd lavae)
cde
fgh
gh
gh
cde
f
a
efg
cd
ef
a
ab
def
0 +1 +3 +5 +7 +8 +9 0 +1 +3 +5 +7 -3 -2 -1
EP
day
cd
TE D
h
ef
M AN U
cd gh
cd
ef
ZnBr-C fgh
de
ef
SC
c
de
bc
1.5
ab
b
0.6
0 3
a
ZnKr-h1
bcd
de
f
0 1.2
cde
ab
abc
RI PT
1
ZnMet
AC C
Relative expression level (/RPL13a)
2
presoldier
soldier
ACCEPTED MANUSCRIPT
1
3
5
4/4
10/10
15/15
11/11
5/5
11/11
4/4
5/5
7 -3 8/8
8 -2 8/8
AC C
EP
TE D
M AN U
GFP
soldier
9 -1 5/5
RI PT
0
ZnMet
RNAi
injection day
presoldier
SC
worker
ACCEPTED MANUSCRIPT
10/10
AC C
EP
TE D
M AN U
SC
RI PT
10/10
GFP
ZnMet
RNAi
ACCEPTED MANUSCRIPT
2.5
injection timing
2.0
presoldier day 0~9
1.5
bpm
ZnMet
RNAi
GFP
soldier soldier presoldier
1.0 0.5
RI PT
0 -0.5 -1.0
-2.0 -8.0
-6.0
-4.0
-2.0
SC
-1.5 0
EP
TE D
M AN U
first principal component (82.84%)
AC C
second principal component (4.37%)
3.0
2.0
4.0
6.0
ACCEPTED MANUSCRIPT
A
ZnMet RNAi GFP
head capsule
RI PT
*
SC
2000
M AN U
length (μm)
4000
0
injection timing
bpm day0 day1 day2 day3 day4 day5 day6 day7 day8 day9 bsm3 bsm2 bsm1
B
*
EP
mandible
ZnMet RNAi GFP
AC C
length (μm)
3000
TE D
presoldier period
1500
0
injection timing
bpm day0 day1 day2 day3 day4 day5 day6 day7 day8 day9 bsm3 bsm2 bsm1
presoldier period
ACCEPTED MANUSCRIPT Highlights
・ Role of the Methoprene-tolerant (Met) gene in termite soldier differentiation was examined.
・ RNAi knockdown of Met prior to presoldier molt suppressed morphogenesis of
RI PT
soldier-specific characters.
AC C
EP
TE D
M AN U
SC
・ JH acts through its receptor Met to direct social cast polyphenism in termites.
ACCEPTED MANUSCRIPT
Forward
Reverse
Met (RACE PCR)
TGGAGCTGAGGAGGCTTCTG
TCGAAGCTGTTCATCTGGTG
Met (dsRNA synthesis)
GAGGATGATCAGGGTGGAGA
Met (qPCR)
ATCACGATGTGCTGGACAAG
GTGATGATGAACTGGAGGTGTC
117.4
Kr-h1 (qPCR)
CCGCTGCTGTCGTAGAATC
ATGAACACTCGTATGCCTTGTC
106.6
Br-C (qPCR)
TCTGCTGCTCCACACATCAG
TGTAGCTTCAGGTGATGGCG
80.1
b-actin (qPCR)
AGCGGGAAATCGTCCGTGAC
CAATGGTGATGACCTGCCCAT
107
EF-1a (qPCR)
GCATGCACTGTTGGCTTTTA
TTCCTCAAATCGGGTTTCAG
108.3
NADH-dh (qPCR)
CGGCAAGGAAGCAAATAAAG
TTGGGTTGGGGGTATCAGC
123.4
RS49 (qPCR)
CATGCTTCCTACTGGCTTCC
AATTTCGGCACAGAATTTGC
103
RPS18 (qPCR)
CTCCGTGAAGACCTGGAGAG
CGTCTTCGTGTGTTGTCCAC
110.9
RPL13a (qPCR)
CACTTCAGAGCACCAAGCAA
ACGTTTCAATGCTGCCTTTC
103.4
SC
M AN U TE D EP AC C
Efficiencies (%)
RI PT
gene name
ACCEPTED MANUSCRIPT
Normfinder
RPL13a (0.622) RPS18 (0.633) RS49 (0.670) EF-1a (0.684) NADH-dh (1.155) b-actin (1.330)
RPL13a (0.128) RPS18 (0.215) RS49 (0.224) EF-1a (0.227) NADH-dh (0.687) b-actin (0.851)
AC C
EP
TE D
M AN U
SC
1 2 3 4 5 6
geNorm
RI PT
Software
ACCEPTED MANUSCRIPT
A
S
S
PS L
L
2
3
L
4
L
5
L L
gut-purge 3.1 ± 0.51 days
No.1
TE D
3.4 ± 0.57 days
EP
AC C
worker (L3)
7
N
1
worker (L4)
N
2
A
Neo
gut-purge
6.7 ± 0.75 days
presoldier
No.2
6
RI PT
1
SC
B
L
M AN U
Egg
PS
3.5 ± 0.66 days
soldier
A βHLH
ACCEPTED MANUSCRIPT
aaa1aTTACAGTCGTCAGAATCGCAACATGATGGAGAAACACCGACGCGACAAGATGAACGCGCA aaaaaaaYaaSaaRaaQaaNaaRaaNaaMaaMaaEaaKaaHaaRaaRaaDaaKaaMaaNaaAaaH aa611CATCAGCAACCTCGCGCTGCTGGTGCCCACTGTAGCAAATTCTCCAAAGAAAATGGACAA aaaaaaaIaaSaaNaaLaaAaaLaaLaaVaaPaaTaaVaaAaaNaaSaaPaaKaaKaaMaaDaaK 1121aGACAAGCATTTTGAGATTAACTGCTGCTTTCCTTCGACTGCATAAGTTTCTGACTACGAA aaaaaaaTaaSaaIaaLaaRaaLaaTaaAaaAaaFaaLaaRaaLaaHaaKaaFaaLaaTaaTaaK a181aATCCGAGAGGATTAAGAGATTAGGGCTCCCGCACTACTTGAAGACCTACAACCTGTCCCA aaaaaaaSaaEaaRaaIaaKaaRaaLaaGaaLaaPaaHaaYaaLaaKaaTaaYaaNaaLaaSaaQ PAS A a
M AN U
SC
RI PT
a241aAGCTCTGATGGAGGTGCTGGATGGCTTTATGATCATTGTCTCATCCACGGGAAAGATACT aaaaaaaAaaLaaMaaEaaVaaLaaDaaGaaFaaMaaIaaIaaVaaSaaSaaTaaGaaKaaIaaL a301aGTTCGTCACTCATACCGTGGAGACTTTACTCGGCTATCCTCAGAGTTACTTGATGGGGCA aaaaaaaFaaVaaTaaHaaTaaVaaEaaTaaLaaLaaGaaYaaPaaQaaSaaYaaLaaMaaGaaQ a361aGTCAATGCATTCCATCATCTGCCGTGAAGATCACGATGTGCTGGACAAGAACTTAACACC aaaaaaaSaaMaaHaaSaaIaaIaaCaaRaaEaaDaaHaaDaaVaaLaaDaaKaaNaaLaaTaaP a421aTGACTTGGATCTCATGGCAGCCGAACATGGTGTTTCTGGTCAATTGTCACTTGGTGAGGA aaaaaaaDaaLaaDaaLaaMaaAaaAaaEaaHaaGaaVaaSaaGaaQaaLaaSaaLaaGaaEaaD a481aCAGCAGCAGTTCAGGGGACACCTCCAGTTCATCATCACAGAGTGCTATGTCACCCCAACA aaaaaaaSaaSaaSaaSaaGaaDaaTaaSaaSaaSaaSaaSaaQaaSaaAaaMaaSaaPaaQaaQ a541aGCAGCCCGTGTCATCTGCCCCCTCGTTGCAAGACATCACAGGCCCCATTCCGTCTTTGTA aaaaaaaQaaPaaVaaSaaSaaAaaPaaSaaLaaQaaDaaIaaTaaGaaPaaIaaPaaSaaLaaY a601aTCAGCAGCGCCGGTCCTTCTATCTGCGGATGATTCAGAAAGCTGTTTCTCGTAGTGAGCT aaaaaaaQaaQaaRaaRaaSaaFaaYaaLaaRaaMaaIaaQaaKaaAaaVaaSaaRaaSaaEaaL a661aCACCCAGTATGAGTTGGTCCATGTGCTGGGGTTCCTCAGCGTACCACAGCGACCGACACC aaaaaaaTaaQaaYaaEaaLaaVaaHaaVaaLaaGaaFaaLaaSaaVaaPaaQaaRaaPaaTaaP a721aCGGGCCTTCCACACCCTCTCGCACTCGCAACCGTTCGCGTGATGGCAGCAATGCAGGATC aaaaaaaGaaPaaSaaTaaPaaSaaRaaTaaRaaNaaRaaSaaRaaDaaGaaSaaNaaAaaGaaS a781aGGGTAATGACATCGATACTGTGCTGATCGCAGTCGTTCGCATGATGCGTGATAACAGTGT aaaaaaaGaaNaaDaaIaaDaaTaaVaaLaaIaaAaaVaaVaaRaaMaaMaaRaaDaaNaaSaaV
PAS B
AC C
EP
TE D
a841aTGCTCAGCGCTCACTACTTGAGCCAAGTAAAGATGAATATGTGACTCGGCATCTCATTGA aaaaaaaAaaQaaRaaSaaLaaLaaEaaPaaSaaKaaDaaEaaYaaVaaTaaRaaHaaLaaIaaD a901aCGGCCGCATTATTTACAGTGACCACAGGATCTCGGTGGTGGCAGGCTACATGGCCGAGGA aaaaaaaGaaRaaIaaIaaYaaSaaDaaHaaRaaIaaSaaVaaVaaAaaGaaYaaMaaAaaEaaE a961aGATTACAGGAGAGTCTGCCTTCAAGTTTATGCATAAGGATGATGTACGCTTTACAATTGT aaaaaaaIaaTaaGaaEaaSaaAaaFaaKaaFaaMaaHaaKaaDaaDaaVaaRaaFaaTaaIaaV 1021aAGCTCTACGACAGATGTATGATCGTGGTAAAGGGAGTTATGGCAGCAGTTGCTACAGGCT aaaaaaaAaaLaaRaaQaaMaaYaaDaaRaaGaaKaaGaaSaaYaaGaaSaaSaaCaaYaaRaaL 1081aTCTGTGCAAGACCGGCCAGTATATTTACTTGCGTACTCATGGCTACCTTGAGTATGACAA aaaaaaaLaaCaaKaaTaaGaaQaaYaaIaaYaaLaaRaaTaaHaaGaaYaaLaaEaaYaaDaaK 1141aGGACAGCCAGAAGATAGTTTCCTTCATATGCATCAATACCCTTGTGTCGGAGGAAGAAGG aaaaaaaDaaSaaQaaKaaIaaVaaSaaFaaIaaCaaIaaNaaTaaLaaVaaSaaEaaEaaEaaG 1201aTGTGCAACTTGTGCGAGAGATGAAGGCTCGGTTCTCTGCCAACATCTTGACAGCATCTAG aaaaaaaVaaQaaLaaVaaRaaEaaMaaKaaAaaRaaFaaSaaAaaNaaIaaLaaTaaAaaSaaS 1261aCCAGCAGCCAGCTCCACTTCCTCCCGCTTCCATCCCGTCCACTTCCACTGTCACGTCTGG aaaaaaaQaaQaaPaaAaaPaaLaaPaaPaaAaaSaaIaaPaaSaaTaaSaaTaaVaaTaaSaaG 1321aCCCCCTGGAATCAGACCTGTTGGAGGTAGCTATTTCACAACTTATTTCCAACATCCCTGC aaaaaaaPaaLaaEaaSaaDaaLaaLaaEaaVaaAaaIaaSaaQaaLaaIaaSaaNaaIaaPaaA 1381aAACAGAGGATGATCAGGGTGGAGAAGAGGAGAGGCGCCCTGAGGTATCAGATACCCAGTA aaaaaaaTaaEaaDaaDaaQaaGaaGaaEaaEaaEaaRaaRaaPaaEaaVaaSaaDaaTaaQaaY 1441aTATGAAGGTTGTACACTATTCGAAGGCTCTTCCTCCTGCAACAATACAGGCAGCAAAAGT aaaaaaaMaaKaaVaaVaaHaaYaaSaaKaaAaaLaaPaaPaaAaaTaaIaaQaaAaaAaaKaaV 1501aGGGCCTTGACCCACTTATGTCATTGTCTCATGTGGGGCCTACCTCACCTACAAGACCACT aaaaaaaGaaLaaDaaPaaLaaMaaSaaLaaSaaHaaVaaGaaPaaTaaSaaPaaTaaRaaPaaL 1561aTACTGTGACCATCCCTGGAACACCTTCAAGGGTACAGACAGATTCTGCTTGGTCTATGGT aaaaaaaTaaVaaTaaIaaPaaGaaTaaPaaSaaRaaVaaQaaTaaDaaSaaAaaWaaSaaMaaV
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
1621aGAAACGTGAATCTGTTATAACATCTTTAGTGTCTTCTGTTAAGACAGAGCATGTTCCTCG aaaaaaaKaaRaaEaaSaaVaaIaaTaaSaaLaaVaaSaaSaaVaaKaaTaaEaaHaaVaaPaaR 1681aACCTCCACCACCAGTGCCACCTCGAAGGCAAGAGACTGTTGTGGTTAGTGTACAGGCAAA aaaaaaaPaaPaaPaaPaaVaaPaaPaaRaaRaaQaaEaaTaaVaaVaaVaaSaaVaaQaaAaaN 1741aTCAGGCTGGAAATATGCCAGAGTGCATGACAGGGTTGAGAACACAAGCAAATCCAGTGTT aaaaaaaQaaAaaGaaNaaMaaPaaEaaCaaMaaTaaGaaLaaRaaTaaQaaAaaNaaPaaVaaL 1801aGAAGCGGACAAGTAACATTGCAGACTGTGAGGTACAGAGTAGTTCTAAGCGTCAGCATGT aaaaaaaKaaRaaTaaSaaNaaIaaAaaDaaCaaEaaVaaQaaSaaSaaSaaKaaRaaQaaHaaV 1861aGAGCTATGCTCGGCGAAGGGAAAGACGCCCCACTGAACCTTCAGCCCAACTTCATCTTGA aaaaaaaSaaYaaAaaRaaRaaRaaEaaRaaRaaPaaTaaEaaPaaSaaAaaQaaLaaHaaLaaE 1921aGAGTCCCACAATGGATGAACCTAGGAGGACACCAGATGAACAGCTTCGACTTATCATGAT aaaaaaaSaaPaaTaaMaaDaaEaaPaaRaaRaaTaaPaaDaaEaaQaaLaaRaaLaaIaaMaaM 1981aGCGAGACTCTCTTGTCACGAGTCCTCCTGCTAATTCCCTCTTACACTGTGTTGCAAGGGG aaaaaaaRaaDaaSaaLaaVaaTaaSaaPaaPaaAaaNaaSaaLaaLaaHaaCaaVaaAaaRaaG 2041aATTCTCAGAACCCAGTGCACCGAGTCCTGTTTCTCCAGCAGTTGGTGATTTTGTTACTC aaaaaaaFaaSaaEaaPaaSaaAaaPaaSaaPaaVaaSaaPaaAaaVaaGaaDaaFaaVaaT
B
ACCEPTED MANUSCRIPT aa1aTGAGGACGGCTCAGTTCACGGAAGCGCGGAGTGTGCTGGTCCCATGTTGCCAGAGCAACG aaaaaaEaaDaaGaaSaaVaaHaaGaaSaaAaaEaaCaaAaaGaaPaaMaaLaaPaaEaaQaaR a61aCCCAGAACAGCAAGAAGCCCCCGTCAAGCGGCTTGTGTGCAGCCCGGATTTACCCGTGTT aaaaaaPaaEaaQaaQaaEaaAaaPaaVaaKaaRaaLaaVaaCaaSaaPaaDaaLaaPaaVaaF 121aCTCGCTCACTCACGCTTTCGAGGAAGCCGCTGCCGCTGCTGTCGTAGAATCGTCTTCACC aaaaaaSaaLaaTaaHaaAaaFaaEaaEaaAaaAaaAaaAaaAaaVaaVaaEaaSaaSaaSaaP 181aTCCGGCCTCCGCCCCAGCGCCCGAAGACAAGGCATACGAGTGTTCATTTTGCCACAAGAC aaaaaaPaaAaaSaaAaaPaaAaaPaaEaaDaaKaaAaaYaaEaaCaaSaaFaaCaaHaaKaaT 241aTTTCCCTCAGAAGAACACGTACCAGAACCACCTGCGTTCGCACGGAAAGGAGGGCGAAGA aaaaaaFaaPaaQaaKaaNaaTaaYaaQaaNaaHaaLaaRaaSaaHaaGaaKaaEaaGaaEaaD
C2H2 zf
RI PT
301aTCCATACCAGTGCAACATCTGTGGCAAAACATTCGCAGTGCCCGCCCGCCTGACGCGACA aaaaaaPaaYaaQaaCaaNaaIaaCaaGaaKaaTaaFaaAaaVaaPaaAaaRaaLaaTaaRaaH 361aCTACCGCACGCACACGGGCGAGAAGCCCTATCAGTGCGAATACTGCAGCAAGTCCTTTTC aaaaaaYaaRaaTaaHaaTaaGaaEaaKaaPaaYaaQaaCaaEaaYaaCaaSaaKaaSaaFaaS
C2H2 zf
421aCGTGAAGGAGAACCTCAGTGTGCATAGGCGCATTCACACGAAGGAGCGACCCTACAAGTG aaaaaaVaaKaaEaaNaaLaaSaaVaaHaaRaaRaaIaaHaaTaaKaaEaaRaaPaaYaaKaaC
C2H2 zf
SC
481aCGACATATGCGCTAGGGCATTCGAACACAGTGGCAAACTGCATCGCCACATGCGGATCCA aaaaaaDaaIaaCaaAaaRaaAaaFaaEaaHaaSaaGaaKaaLaaHaaRaaHaaMaaRaaIaaH 541aCACGGGCGAGCGACCACACAAGTGCGGTGTCTGCGCCAAGACGTTCATCCAGAGTGGGCA aaaaaaTaaGaaEaaRaaPaaHaaKaaCaaGaaVaaCaaAaaKaaTaaFaaIaaQaaSaaGaaQ
C2H2 zf
M AN U
601aGCTCGTCATCCACATGCGGACTCACACTGGCGAGAAACCCTACGTGTGTGCGGCGTGCGG aaaaaaLaaVaaIaaHaaMaaRaaTaaHaaTaaGaaEaaKaaPaaYaaVaaCaaAaaAaaCaaG
C2H2 zf
AC C
EP
TE D
661aTAAGGGCTTTACCTGCTCCAAACAACTGAAGGTACACACAAGGACCCACACAGGAGAGAA aaaaaaKaaGaaFaaTaaCaaSaaKaaQaaLaaKaaVaaHaaTaaRaaTaaHaaTaaGaaEaaK 721aACCCTACTCTTGCGACATTTGCGGCAAGGCGTTCGGCTACAACCACGTGCTGAAGCTTCA aaaaaaPaaYaaSaaCaaDaaIaaCaaGaaKaaAaaFaaGaaYaaNaaHaaVaaLaaKaaLaaH 781aCCAAGTGGCGCACTACGGGGAGAAAGTGTACAAATGCACGATCTGCAGCCAAACCTTTAC aaaaaaQaaVaaAaaHaaYaaGaaEaaKaaVaaYaaKaaCaaTaaIaaCaaSaaQaaTaaFaaT 841aTTCGAAGAAGACTATGGAGGTTCATATCAAGAGCCACTCGGAGCCCTCGAACACGGCACG aaaaaaSaaKaaKaaTaaMaaEaaVaaHaaIaaKaaSaaHaaSaaEaaPaaSaaNaaTaaAaaR 901aGAGCCCACAGCCCCCCGCACTCCCCCCGACAGGGCGGCAGAACACCGACCCGGGCGAATC aaaaaaSaaPaaQaaPaaPaaAaaLaaPaaPaaTaaGaaRaaQaaNaaTaaDaaPaaGaaEaaS 961aGTCATGTGCTTCATCCAGTAGCGATAA aaaaaaSaaCaaAaaSaaSaaSaaSaaD
C
211
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
281
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
351
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
421
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
491
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
VANSPKKMDK VANAPKKMDK VANSPKKMDK VANSPKKMDK VARSAKRMDK VARSAKRMDK AAAAPRKLDK * * **
TSILRLTAAF TSILRLTAAY TSILRLTAAF TSILRLTAXF TSILRLAATH TSILRLAATH TSTLRLSANF ** *** *
LRLHKFLTTK LRLHKFLNAD LRLHKFLVTD LRLHKFLVAD LRIYQTLLSG LRIYQTLLSG LRIHQNM--**
S-ERIKRLGL TGGNVTRLEF P-GELNRIDF P-GDPNRIEF K--NHPHIQL K--NHPHIQL ---DLRMKPY
PHYLKTYNLS PRYLKDYDMY PNFLKDCNLS PDFLKDCNLS PKHVDQYLLE PKHVDQYLLE NRW--NALAG
QALME---VL QALME---VM QAFME---VM QAFMELLQVM QLVCE---QL QLVCE---QL HSILE---KL *
DGFMIIVS-S DGFMIMVS-R DGFMIIVS-C DGFLIIVS-S GGFLLILT-P GGFLLILT-P DSFLLVVSCC *
TGKILFVTHT TGNILFVTHT SGNILFVSHT TGNILFVSHT NGKIVFVSHT NGKIVFVSHT SGKIIYVTDR * * *
VETLLGYPQS VETLLGHPQS VETLLGHPQT VETLLGHQQN VEHLLGHLQT VEHLLGHLQT VEKLLGHAQV ** ***
YLMGQSMHSI FLMGQKLHSI SLLGQKLHSI FLLGQKLHSI DLMGQSIFNI DLMGQSIFNI DMMGYQLSCF *
ICREDHDVLD TFHEDHDVLN TCREDHDTLN TCREDHDKLN TSPDDHDRLTSPDDHDRLVHQADQDAIE * *
KNLTPDLDLM KNLTPDSDPS KNLNPDPDPS KNLTPDPDPS ------------------KRLSA-----
AAEHGVSGQL LSDHDGSGQL AGDQENSGQL AGDQESTGQM --------RM --------RM -----FAAQV
SLGEDSSSSG SAGDDNSSSG SVGEDSSSSG SVGEDSSSSG YINTESVLDG YINTESVLDG AANPDASDSA
DTSSSSSQSA DTSSSSSQSA DTSNSSSPSV DASSSSSQSL D--------D--------D--------*
MSPQQQPVSS LSPPQPSSST PSPQQQQQQL PSPQHQQQSA ----------------------------
APSLQDI--FSVPANT--QPSTSQQ--PSSSTSTAVA ----------------------------
---TGPIPSL ---SRNSSPD --QEAPSEPL VPEAAPSEPL ----------------------------
YQQRRSFYLR -HQRRSFYVR -RQRRSFYLR -RQRRSFYLR --WKKCFNIR --WKKCFNIR -GQVYSFECR * *
MIQKAVSRSE LSQRTASRSD LSQRTVSRSE LSQKAVSRSE L-KRAGPRTE L-KRAGPRTE LAGRQLSRGE * *
LTQYELVHVL VTQYELVHVQ ITQYELMHVL ITQYELMHXL SAVYEPVRIM SAVYEPVRIM PTVYERVSVS **
GFLSVPQRPT GFLRVPQHTN GHLRVPQRPS GHLRVPQRPN GVHR-----GVHR-----GTFRGPRRRR *
PGPSTPSRTR PGPATHSRTR QGPSTQSRTR PGPSAQSRTR PGFDNDC--PGFDNDC--DWADLKS---
NRSRDGSNAG SRSRDGNSAG SRQRDGSSTG NRQREGSSTG --NKNTSTSK --NKNTSTSK -SDRSVATVQ
SGND-IDTVL SGND-IDTVL SSVD-SDTVL SSAD-SDTVL EIAL-NNDVL EIAL-NNDVL QHNDYSEPLF
IAVVRMMR-D IAVVRTMR-E IAVVRTVR-E IAVVRTVR-E LFFVKVFR-P LFFVKVFR-P IGLVRILQTP *
NSVAQRSLLE RTVSSRSLFH SSVAERSLLE SSLVERSLLE EPLCER-LFE EPLCER-LFE NTLPPLTIMQ
PSKDEYVTRH ATREEYVTRH PSKDEYVTRH PSKDEYVTRH ASREEYVTRH ASREEYVTRH AVQDEYITQH ** *
LIDGRIIYSD LLDGRIIYCD LIDGRIIYSD LIDGRIIYSD LIDGRIIGCD LIDGRIIGCD TTGGTIIQTD * ** *
HRISVVAGYM YRISLVAGYM HRISVVAGYL HRISVVAGYM QRISFIAGYM QRISFIAGYM HRIAIIAGYL ** ***
AEEITGESAF ASEITGMSAF AEEVAGESAF AEEVAGLSAF TEEVSGLSAF TEEVSGLSAF SGEVTGMSAY * **
KFMHKDDVRF KFMHKDDVLY KFMHRDDVRF KFMHKDDMRF KFMHREDVRW KFMHREDVRW DYVYSEDLEY *
TIVALRQMYD TIVALREMYH TIVALRQMYD TMIALRQMYD VMIALRQMYD VMIALRQMYD TLKAQSLMLT * *
RGKGSYGSSC HGKQSFGNSC RGKDSYGSSC RGKDSYGSSC RG-ESKGSSC RG-ESKGSSC R---SEGMVT *
YRLLCKTGQY YRLLSKTGQF YRLLCKTGQY YRLQSKTGQY YRLLSRNGQF YRLLSRNGQF YRLKTSTGRL *** *
IYLRTHGYLE IYLQTHGYLE IYMRTHGYLE IYLRTHGYLE IYLRTFGFLE IYLRTFGFLE IFLRSRGFIQ * *
YDKDSQKIVS YDRDSKKLVS YDKDTQQIVS YDKDTQQIVS ID-DQGTVES ID-DQGTVES YDENTKEIVS * *
FICINTLVSE FLCVNTLVSE FICINTLVPE FICINTLLTE FVCVNTLVSE FVCVNTLVSE FFCINSLIDE * * * * *
EEGVQLVREM EEGLQLMHEM DEGETLVQEM EEGERRIQEM QEGLQLINEM QEGLQLINEM EQGMKEMQEM * **
KARFSANILT KAQYDSGL-Q KTRYSATVMS KARFSATITS KKRYSALINS KKRYSALINS RAMLDKLNIA
ASSQQPAPLP SYCQKASLMA SRQQ-AALLG SRQQ-----X QSCP-----QSCP-----TVTP-----A
PASIPSTSTV PTPVPSTSTS PVPGPSTSTG AILGPSTSTS -ITSSGSTDS -ITSSGSTDS IASSPTSTIE
TSGPLESD-L TCSPVDTQ-D -SSSVEAD-P -VGNVDND-Q SSQSVEDPQQ SSQSVEDPQQ PVGAASTQEP
LEVAISQLIS LETAVSHLLA LDAAISQLIT LEVAISQLIS VEAAIVHLIA VEAAIVHLIA LSRCVRASVG *
NIPATEDDQG SIPPPDG--NIPEVRDDGK NIPEVRDDNK NLPSPGSDQR NLPSPGSDQR KPPPSFSSNG *
---GEEERRP ---AEEEKCS ---SEPSS-----EPSN----STPSP----STPSP-CHLANGSRVS
EVSDTQYMKV EVSDSQYMKV -LPDTQYVKA -LPDTQYAKA ----RVYGNV ----RVYGNV GLPRSSIMPN
VHYSKALPPA LHYSKLLPPV VRYSKVLPSV VRYSKVLPSA NENQDCSTPT NENQDCSTPT GHNSLCISPS
TIQAAKVGLD SVQAAKAGID TEQAAKVGIK TEQAAKVGIK EN-------S EN-------S SE--------
PLMSLSHVGP PYMSLSGEQP NVIPTTRGGP PVIPNARTGP PTKPYYKLKT PTKPYYKLKT --LQYSPSGS
TSPTRPLTVT ASPTRPLTVT TSPTGPLTVA ISPTGPLTVT ANNKRP---ANNKRP---SSSSFS----
IPGTPSRVQT IPEAPSRIQP IPEGPQKSQN IPEXPQRIHP ----PSTELG ----PSTELG ----EERCQS
DSAWSMVKRE ESGWPRVKRE EANWIHVKRE EATWTSIKRE TNIYTSSKRQ TNIYTSSKRQ STPHSLVSSP
RI PT
PAS domain A
SC
141 Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
ISNLALLVPT INSLAQLVPT ISNLALLVPT ISNLALLVPT IGELATLVPM IGELATLVPM ISELYSLVPS * * ***
M AN U
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
KHRRDKMNAH KHRRDKMNAH KHRRDKMNAH KHRRDKMNAH KMRRDKLNSY KMRRDKLNSY KQRRDKLNAY * **** *
TE D
71
YSRQNRNMME YSRQTRNMME YSRQNRNMME YSRQNRNMME NSREMRNRAE NSREMRNRAE SSREMRNRAE ** ** *
EP
Z.Zn nevadensis R. speratus Rs D. punctata Dp Bg B. germanica T.Tc castaneum Bm B. moli Daphnia D. pulex
ACCEPTED MANUSCRIPT Helix-loop-helix domain
AC C
1
PAS domain B
ACCEPTED MANUSCRIPT VVSVQANQAG LVSAQGNQTG LVSAQSDSSS -------------------------------------
NMPECMTGLR SVPECMAGLR DVSRLRGN--------------------------------------
TQANPVLKRT GRANQAMKRT ---NAVLKRT -------------------------------------
SNIADCEVQS NTLADCDVQS SSVADCEVQT -------------------------------------
SSKRQHVSYA SSKRQHVSYA GSKRQHVSYA ---------------------------------VSYP
RRRERRPTEP RRRERWPKEH RRRERRSTEP ---------------------------FAPIPFPWRP
SAQLHLESPT PAKLKPESST TSQHQPKSPT ---------------------------STDCSPITTT
MDEPRRTPDE LDEPRRIPDE LEEPQRTPEE -------------------------------------
QLRLIMMRDS QLRLIMMRES QLRLIMSRNS -------------------------------------
LVTSPPANSL SVTSPSASSS SVTSPSSNSP -----------------------------------SN
LHCVARGFSE SHCTARGCSE LHCIGRGCSE ---------------------------GHVNTREVSK
PSAPSPVSPA P---SPMFSA PGAPSPGSPT ---------------------------S---------
VGDFVT HGG--HGA-----------------------
M AN U
SC
RI PT
PVPPRRQETV PKPPRRHESV ----RRQETV -------------------------------------
TE D
701
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
KTEHVPRPPP KAEPVPPPPP KVEVV-----------------------------------------
EP
631
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
SVITSLVSSV SVITTLGPSI SVITSLVPAV SVITSLVP-RTSPQLSP-RTSPQLSP-MEIPNLVA--
AC C
561
Z.Zn nevadensis R.Rs speratus D.Dp punctata B.Bg germanica T.Tc castaneum B.Bm moli D.Daphnia pulex
ACCEPTED MANUSCRIPT a
ZnMet
a b
bc
4
d
c d
d
0
2.5
a
a
ZnKr-h1
RI PT
5
a
b
bc c
ZnBr-C d
d
-3
-2
d
0
ab
a
+3
+5
b
b
d
0
TE D
-1
worker (3rd instar lavae)
EP
day
a
c
2.5
M AN U
4.5
SC
0
AC C
Relative expression level (/RPL13a)
8
+1
worker (4th instar lavae)
+7
AC C EP TE D
Relative expression level (ZnMet / RPL13a)
0.8
0.6
RI PT
0.4
SC
0.2
0
GFP
M AN U
ACCEPTED MANUSCRIPT
1.4
*
1.2
1
ZnMet
RNAi
ACCEPTED MANUSCRIPT
70
N.S.
RI PT
50
SC
40 30
M AN U
Brightness (%)
60
20
0
TE D
10
AC C
EP
GFP
ZnMet
RNAi
ACCEPTED MANUSCRIPT
1.2
*
ZnMet
1
RI PT
0.8 0.6
SC
0.4 0.2 0
GFP
0.8
TE D
1
ZnKr-h1
ZnMet
RNAi
*
EP
1.2
ZnMet
RNAi
0.6
AC C
Relative expression level (/RPL13a)
B
M AN U
Relative expression level (/RPL13a)
A
0.4 0.2 0
GFP
ACCEPTED MANUSCRIPT
10/10
AC C
EP
TE D
M AN U
SC
RI PT
10/10
GFP
ZnMet
RNAi
2500
ACCEPTED MANUSCRIPT head capsule N.S.
RI PT
1500
0
M AN U
SC
length (μm)
A
GFP
TE D
ZnMet
RNAi
N.S.
EP
2000
mandible
AC C
length (μm)
B
ZnMet
RNAi
1000
0
GFP