|Home | About | Journals | Submit | Contact Us | Français|
The microRNA miR-7 is perfectly conserved from annelids to humans, and yet some of the genes that it regulates in Drosophila are not regulated in mammals. We have explored the role of lineage restricted targets, using Drosophila, in order to better understand the evolutionary significance of microRNA-target relationships. From studies of two well characterized developmental regulatory networks, we find that miR-7 functions in several interlocking feedback and feedforward loops, and propose that its role in these networks is to buffer them against perturbation. To directly demonstrate this function for miR-7, we subjected the networks to temperature fluctuation and found that miR-7 is essential for the maintenance of regulatory stability under conditions of environmental flux. We suggest that some conserved microRNAs like miR-7 may enter into novel genetic relationships to buffer developmental programs against variation and impart robustness to diverse regulatory networks.
Biological systems are imbued with the property of robustness. Perturbation of such systems is buffered such that the output or response is invariant or uniform. Numerous examples abound in which robust systems can compensate for remarkably large genetic or environmental perturbations (Kitano, 2004). How this occurs is not well understood and is currently the focus of intense study. Buffering is thought to be an epigenetic process, and it has been speculated to play a role in evolution by canalizing or masking genetic variation at the level of phenotypic expression (Meiklejohn and Hartl, 2002; Siegal and Bergman, 2002). A variety of mechanisms provide stability and robustness (Hartman et al., 2001). Functional redundancy buffers processes against genetic and environmental noise (Kitano, 2004). Complex networks of interacting regulatory molecules also generate robustness for diverse biological processes (Lee et al., 2002; Milo et al., 2002; Spirin and Mirny, 2003).
In this study, we examine the role of microRNAs (miRNAs) in biological robustness. These small non-coding RNAs are transcribed from plant, algal, and animal genomes where their gene numbers range in the hundreds (Griffiths-Jones et al., 2006). Animal miRNAs typically repress translation of mRNAs that are complementary in sequence, and repression increases additively with miRNA occupancy on messages (Bushati and Cohen, 2007). Most targeted genes are only modestly repressed by miRNAs, which indicates that miRNAs primarily tune gene expression (Baek et al., 2008; Nakahara et al., 2005; Selbach et al., 2008).
It has been speculated that miRNAs provide robustness to programs of gene expression (Hornstein and Shomron, 2006). Stark and colleagues (Stark et al., 2005) observed anti-correlative expression of miRNAs and their target mRNAs. This suggests that transcription primarily controls gene expression while miRNAs lend further reinforcement to gene regulation by attenuating unwanted transcripts. MicroRNAs could provide robustness a second way. Feedback and feedforward motifs impart robustness to complex networks (Milo et al., 2002). Bioinformatic analysis has indicated that miRNAs frequently collaborate with transcription factors in feedback and feedforward loops to regulate their targets (Martinez et al., 2008; Tsang et al., 2007), and there are several experimentally defined examples of these kinds of regulatory relationships (Hobert, 2006). Despite these provocative speculations about miRNAs and robustness, to date there has been no direct evidence that a miRNA buffers gene expression against fluctuation or noise.
To explore the issue, we have focused on one of the most highly conserved animal miRNAs, miR-7. The miR-7 gene is found in most sequenced Urbilateria species, and the sequence of its mature miRNA product is perfectly conserved from annelids to humans (Prochnik et al., 2007). We find that in Drosophila, miR-7 acts within two complex gene networks that regulate the determination of photoreceptor cells, proprioceptor organs, and olfactory organs. MiR-7 acts within several interlocking feedback and feedforward loops theoretically implicated as network stabilizers. Thus, we provide a mechanistic picture of miR-7 working in networks to buffer gene expression against perturbation. To directly demonstrate this function for miR-7, we subjected the networks to temperature fluctuation and show that miR-7 is essential for stable gene expression and cell fate determination in the face of this perturbation. Thus, we have demonstrated that this miRNA imparts robustness to diverse regulatory networks.
The mature miR-7 RNA sequence is perfectly conserved from annelid to human, indicating a strong functional conservation (Prochnik et al., 2007). In support of this notion, miR-7 is specifically expressed in neurosecretory cells of the vertebrate brain and in homologous cells of the annelid nervous system (Tessmar-Raible et al., 2007; Wienholds et al., 2005). In Drosophila, miR-7 is additionally expressed in retinal photoreceptor cells during post-embryonic development (Li and Carthew, 2005). Other Drosophila sensory organs also express miR-7, including proprioceptor and olfactory organs located on the antenna, leg, and wing (Fig. 1A–C). Strikingly, miR-7 is not expressed in the homologous sensory organs of vertebrates, implying that miR-7 function has differentially evolved (Landgraf et al., 2007; Wienholds et al., 2005). To examine the issue more closely, we focused on genes whose expression is regulated by miR-7 in developing sensory organs of Drosophila.
Expression of yan is inhibited by miR-7 in photoreceptor cells due to four miR-7-binding sites in its transcript 3′UTR (Li and Carthew, 2005). The E(spl) gene family are direct targets of miR-7 mediated repression in other sensory organs (Stark et al., 2003; Lai et al., 2005). Yan and E(spl) are direct targets of miR-7, and these factors are essential for development of insect sensory organs. Are their vertebrate orthologs also targets of miR-7? We compared the predicted miR-7 targets from Drosophila and humans using six different prediction algorithms. Based on this meta-analysis, 97 genes were predicted with high or moderate stringency to be miR-7 targets in Drosophila (Fig. 1D and STable 1). A total of 581 miR-7 targets were predicted with high or moderate stringency in humans (STable 2). We then compared the overlap between the two datasets, and observed that only 9 targets from both datasets were defined orthologs (STable 3). Strikingly, the mammalian orthologs of yan and E(spl) were not predicted to be targets of miR-7. Therefore, these miR-7 targets were either differentially acquired or lost in different evolutionary lineages.
We asked what function miR-7 played in regulating these non-conserved gene targets in Drosophila. We were not able to assay E(spl) protein expression. However, we had previously found that miR-7 mutants had only minor defects in Yan protein expression (Li and Carthew, 2005). Moreover, though miR-7 is expressed in developing sensory organs, loss of miR-7 had little or no detectable impact on their development under uniform laboratory conditions (Li and Carthew, 2005; data not shown). One possible explanation is that miR-7 is functionally redundant with other miRNAs. However, loss of all mature miRNAs within Dicer-1 clones had negligible effects on determination of these structures (T. Hayashi and R.W.C., unpublished data).
These results are consistent with miR-7 providing robustness to gene expression programs in development. It was especially intriguing to consider that this function could evolve in some animal lineages and not others. If robustness is a miR-7 function, we had two predictions. First, miR-7 would act in gene networks as a stabilizing factor. Second, miR-7 would prevent development from being perturbed when the environment of the animal was perturbed. We embarked on a systematic test of these two predictions.
We initially focused on the interaction between miR-7 and yan, which encodes a transcription repressor (Voas and Rebay, 2004). We had identified a cluster of Yan-binding sites in DNA located 2 kb upstream of the miR-7 sequence (Li and Carthew, 2005 and SFig. 1). To show that the cluster acts as a miR-7 transcription enhancer, we placed it into a transgenic expression reporter (Fig. 2A), and observed strong reporter expression in photoreceptor cells and weak expression in their precursors (Fig. 2C,C′). This pattern resembled the endogenous miR-7 RNA expression pattern (Fig. 2B,B′). Therefore, the cluster behaves as a miR-7 transcription enhancer.
We next examined enhancer activity in a yan mutant. Enhancer activity was greatly increased in precursor cells, indicating that the enhancer is repressed by Yan in these cells (Fig. 2D,E). Yan competes with a transcription activator called Pnt-P1 for the same DNA-binding sites in enhancers (Flores et al., 2000; Xu et al., 2000). To determine if Pnt-P1 activates the miR-7 enhancer, we misexpressed Pnt-P1 in precursor cells and observed a tremendous increase in enhancer activity (Fig. 2F). Altogether, these data indicate that Yan and Pnt-P1 regulate the miR-7 enhancer in opposing directions.
Yan indirectly regulates two other transcription repressors, Ttk88 and Ttk69. Yan represses the transcription of phyllopod (phyl), which encodes an E3 ubiquitin ligase subunit that targets Ttk69 and Ttk88 proteins for degradation (Li et al., 1997; Tang et al., 1997; Treier et al., 1995). Thus, the presence of Yan stabilizes these repressors. We wondered if Yan might also act through these repressors to inhibit the miR-7 enhancer. Examination of the enhancer DNA sequence revealed two Ttk69 binding sites (Fig. 2A and SFig. 1). Misexpression of Ttk69 in photoreceptor cells led to decreased miR-7 RNA (Fig. 2G,H) and enhancer activity (Fig. 2I,J). Misexpression of Ttk88 in photoreceptor cells had no effect on miR-7 RNA expression, consistent with the absence of Ttk88 binding sites in the enhancer (data not shown). These data suggest that Ttk69 and not Ttk88 can bind to the miR-7 enhancer and repress its activity.
Retinal precursor cells receive extracellular signals that influence their fates. Yan plays a central role in transducing these signals (Voas and Rebay, 2004). To ascertain how these extracellular signals regulate the miR-7 enhancer, we used signaling mutants. When enhancer activity was monitored in precursor cells containing constitutively active EGFR, activity was strongly upregulated (Fig. 2I,K). Conversely, activity was greatly reduced in photoreceptor cells carrying a dominant-negative EGFR mutant (Fig. 2I,L). EGFR signaling activates Pnt-P1 synthesis and inhibits Yan by stimulating degradation of Yan protein (Voas and Rebay, 2004). Thus, EGFR signaling activates the miR-7 enhancer, most probably through its effects on Pnt-P1 and Yan.
We also determined how Notch signaling regulates the enhancer. We observed an increase in miR-7 expression in precursor cells carrying a temperature sensitive Notch mutation (Fig. 2M,N). Enhancer activity was also up-regulated (Fig. 2O,P), indicating that Notch signaling represses the miR-7 enhancer. Notch signals are transduced through the transcription effector Su(H) (Mumm and Kopan, 2000). It was previously found that Su(H) activates yan transcription (Rohrbaugh et al., 2002). Thus Yan is the most likely mediator of the repressive effect of Notch on the miR-7 enhancer. Consistent with this idea, a constitutively active Su(H) mutant repressed enhancer activity, and Notch mutant cells with greater enhancer activity had reduced Yan protein levels (SFig. 2).
Our genetic analysis revealed a network-like architecture acting in photoreceptor determination. Yan represses miR-7 transcription directly, and also represses transcription indirectly through Ttk69. This mode of direct and indirect repression is an example of a coherent feed-forward loop (Fig. 3A). miR-7 is involved in a second coherent feed-forward loop. Pnt-P1 directly activates miR-7 transcription, which in turn represses Yan. Pnt-P1 also directly represses yan transcription (Rorbaugh et al., 2002). This coherent feed-forward loop between Pnt-P1 and Yan interlocks with the other coherent feed-forward loop between Yan and miR-7 (Fig. 3A). Coherent feed-forward loops of this type, in which X regulates Y, and both negatively regulate Z, create stability against fluctuations in X. It generates a delay or persistence that rejects fluctuating dips in X and only accepts persistent decreases in X (Mangan and Alon, 2003; Mangan et al., 2003). Thus, we can hypothesize that levels of miR-7 and Yan are buffered against fluctuating drops in Yan and Pnt-P1. This buffering would ensure that a cell only switches from one state (Yan ON) to the other state (Yan OFF) when there is a persistent decrease in Yan. The Yan OFF state would also be buffered against switching back to Yan ON due to Pnt-P1 fluctuations. This mechanism likely functions in collaboration with degradation of Yan protein to promote zero-order ultrasensitivity (Melen et al., 2005), which ensures that a cell’s fate change is not spontaneously induced or reverted.
MiR-7 is expressed in developing proprioceptor and olfactory organs within the antenna, leg and wing (Fig. 4A–C). The miR-7 enhancer is also specifically active in these organs (Fig. 4D–F). Precursor cells of proprioceptor and olfactory organs transiently express the atonal (ato) gene in a zone called the proneural cluster (PNC) (Artavanis-Tsakonas et al., 1999). Ato protein activates transcription of genes that enable a subset of PNC cells to adopt a sensory organ precursor (SOP) fate (Jafar-Nejad et al., 2003). SOPs then proceed to form the sensory organs. Since Ato is present in cells with an activated miR-7 enhancer (Fig. 4G– I″), we wondered if this transcription factor might directly regulate the enhancer. Ato protein binds to DNA as a heterodimer with the ubiquitously expressed bHLH protein Daughterless (Da). An Ato/Da binding consensus sequence has been deduced (Powell et al., 2004). We identified two conserved sequences that matched the Ato/Da consensus in the miR-7 enhancer (Fig. 2A and SFig. 1A). To determine if Ato/Da activates the enhancer by binding these sequences, we misexpressed Ato or another proneural protein in the leg, antenna, and wing, and observed ectopic enhancer activation in those cells (Fig. 5A–F). We then constructed a mutant form of the enhancer in which the Ato/Da sequences were mutated. The resulting enhancer was completely inactive in the leg, antenna, and wing (Fig. 5J–L). Taken together, our results argue that Ato directly activates the miR-7 enhancer.
E(spl) genes can be directly repressed by miR-7. E(spl) genes encode proteins that directly repress transcription of the ato gene. Taken together, these data suggest that miR-7 can stimulate ato transcription and it would do so by repressing E(spl)-mediated repression. In support of this idea, we observed ectopic ato expression in cells that misexpressed miR-7 RNA (SFig. 3B, D, F-F″,H-H″). To determine if this effect was mediated through E(spl), we misexpressed miR-7 RNA along with mutant E(spl) mRNAs that lacked miR-7 binding sites in their 3′UTRs. Under these circumstances, we saw little or no ectopic Ato in cells misexpressing both miR-7 RNA and E(spl) proteins (SFig. 3J-J″,L-L″,N-N″).
This regulatory pathway should also affect SOP fate determination. As predicted, misexpression of either miR-7 RNA or Ato protein induced SOP determination (Lai et al., 2005 and Fig. 6A–F), and misexpression of miR-7-resistant E(spl) genes inhibited SOP determination (Fig. 6G,I,K). When we misexpressed both miR-7 RNA with different miR-7-resistant E(spl) proteins, we saw inhibition of SOP determination (Fig. 6H,J,L). Similar effects were observed when external sensory organ formation was assayed in adults (Fig. 6M and STable 4). Altogether, these data indicate that E(spl) genes act downstream of miR-7 to mediate its effects on ato expression and SOP fate determination.
Since we found that Ato activates miR-7 transcription, it would suggest the existence of a feedback loop in which ato activates miR-7, which then represses E(spl), which otherwise represses ato. The feedback loop would imply that miR-7 RNA positively activates its own transcription. As confirmation of this prediction, we observed activation of the miR-7 enhancer in cells misexpressing miR-7 RNA (Fig. 6N,O).
This mechanism is not restricted to proprioceptors and olfactory organs alone. It also operates during R8 photoreceptor fate determination at the earliest stages of eye patterning. We observed miR-7 RNA expression and miR-7 enhancer activity in cells where R8 determination occurs (Fig. 2B′,C′). Enhancer activity was not detected in this region when Ato/Da binding sites were mutated (Fig. 5I). This suggests that Ato activates the enhancer in the eye, and is consistent with our observation that misexpressed Ato activates the miR-7 enhancer (Fig. 5G,H). We also found that miR-7 feeds back onto Ato in the eye. Ato expression was modestly activated in cells misexpressing miR-7 RNA (Fig. 6P,Q), and these cells adopted an R8 cell fate (Fig. 6R,S), consistent with previous observations that Ato triggers determination of R8 photoreceptors (Jarman et al, 1994).
Our analysis of SOP determination has uncovered network-like features. Ato activates miR-7, which in turn represses E(spl). Ato also directly activates transcription of E(spl) (Cave et al., 2005; Cooper et al., 2000; Nellesen et al., 1999). Therefore, Ato both directly activates and indirectly represses E(spl) (Fig. 3B). This is an example of an incoherent feedforward loop. Incoherent feedforward loops of this type impart an accelerated and transient pulse of downstream gene expression (Mangan and Alon, 2003). In addition, E(spl) feeds back to ato to create a double-negative feedback loop that is interconnected with the feedforward loop (Fig. 3B). The overall effect is a network in which fluctuating peaks of Ato would result in transient pulses of Ato repression by E(spl), but sustained increase of Ato would result in sustained repression of E(spl) by miR-7 and stabilization of Ato (Fig. 3B).
If miR-7 provides biological robustness, then miR-7 should prevent development from being perturbed when the environment of the animal is perturbed. Environmental fluctuation is one type of perturbation against which gene expression can be remarkably stable (Freeman, 2000). We speculated that miR-7 may stabilize gene expression under fluctuating conditions, and that this would not be apparent under uniform conditions. Indeed, ato expression is normal in miR-7 loss-of-function mutants under uniform laboratory conditions (Fig. 7A,B and data not shown). We then perturbed the environment around developing Drosophila larvae by fluctuating the environmental temperature between 31°C and 18°C every ~ 1.5 hours. When wild-type larvae were challenged with such a temperature fluctuation, they exhibited no defects in expression of ato and yan (Fig. 7C,C′). In contrast, miR-7 mutant eyes exhibited a strong decrease in ato expression under fluctuating temperature conditions (Fig. 7D). Yan expression was abnormally strong and irregular in miR-7 mutant eyes (Fig. 7D′). The directions of expression change were consistent with the mutant failing to activate ato and repress yan.
We also examined the capacity of miR-7 to stabilize proprioceptor and olfactory SOP determination when perturbed for temperature. We subjected wildtype and miR-7 mutant animals to temperature fluctuations, and then followed the formation of antennal SOPs. Groups of SOPs that constituted the Johnston’s Organ appeared near-normal. However, the arista SOP group failed to form in the miR-7 mutant (Fig. 7E-E″, F-F″). The number of SOPs that form the coeloconic sensillae were reduced, and those that did develop were abnormally patterned. These defects were correlated with a reduction in ato expression within antennal cells (Fig. 7E–F″). Altogether, our experiments indicate that miR-7 buffers specific gene expression and cell fates against environmental perturbation. This function appears dispensable under uniform environmental conditions.
Two features of miRNAs have suggested that they could potentially play a role in generating biological robustness. First, they regulate gene expression additively and thus tune gene expression rather than switch expression. Graduated output modulation in response to variable input is a mechanism for simple stabilization. Second, bioinformatic analysis suggests that many miRNAs act in feedback and feedforward network motifs (Martinez et al., 2008; Tsang et al., 2007). Some of these motifs have been theoretically and experimentally implicated to stabilize networks (Milo et al., 2002). However, direct experimental evidence that a miRNA promotes robustness (stability against noise or perturbation) has been missing. Here, we provide such evidence for miR-7 in Drosophila. This miRNA is required to maintain normal gene expression and sensory organ fate determination under fluctuating temperature conditions. We interpret this to mean that miR-7 buffers gene expression against environmental fluctuation. The fact that this function of miR-7 is exposed under fluctuating conditions underscores its primary role as a stabilizer for sensory organ development.
The robustness that miR-7 provided was most apparent for its proximate gene targets, yan and ato. Determination of R8 and SOP sensory cells was less dependent upon miR-7 under the fluctuation paradigm, although it led to defects in patterning of these in the eye (data not shown) and the antenna. Not surprisingly, it hints that there are mechanisms in place downstream or in parallel to ensure further robustness when there is fluctuation. These likely compensate and normalize the outcome. However, since certain SOP cell types were considerably more sensitive to fluctuation when miR-7 was absent, perhaps it underscores the mechanistic diversity that different cell types utilize for generating robustness.
The conceptual significance of the robustness-miRNA connection is several-fold. Their dynamic kinetic properties help answer the question of “why miRNA gene regulation” instead of just using more transcription factors. Their rate of biogenesis is more rapid than proteins, and they affect expression with less delay than factors that regulate nuclear events. These features enable miRNAs to produce rapid responses, something that is expected to counteract rapid and variable fluctuations. It also explains why miRNAs frequently appear dispensable under uniform laboratory conditions (Bushati and Cohen, 2007; Leaman et al., 2005; Miska et al., 2007).
Our analysis of two gene networks explains how miR-7 can buffer gene expression against perturbation. The miRNA acts in feedforward and feedback loops that are theoretically implicated as network stabilizers. Stability is experimentally apparent under conditions of temperature fluctuation though there is no reason a priori why stability cannot be expressed under other variable conditions. Another key point is that tight regulation of miRNAs is crucial. Misexpression of miRNAs frequently mimic loss-of-function phenotypes for their targets (Bushati and Cohen, 2007). Our results with miR-7 hint at how this is normally prevented. Namely, miR-7 has a restricted expression pattern that is strictly controlled by its targets. The restricted expression pattern can also explain how off-targeting effects are carefully limited.
Waddington coined the word canalization to describe how development is buffered against perturbation (Siegal and Bergman, 2002; Waddington, 1942). Despite considerable genetic or environmental variation, organisms develop traits that are remarkably uniform in phenotype. Indeed, the insect compound eye and sensory organs appear to be deeply canalized systems (Jander and Jander, 2002; Meir et al., 2002; Rendel, 1959). It has been speculated that miRNAs might be important for canalization (Hornstein and Shomron, 2006). Certainly miR-7 has many attributes that suggest it helps canalize development in Drosophila.
There is an evolutionary implication to canalization. If canalization masks the phenotypic expression of genetic variation, then individuals within a species appear highly uniform (Waddington, 1953). This lack of diversity limits the number of traits upon which selection can act, resulting in stabilization of a species and reduced evolution. Conversely, lack of canalization results in enhanced phenotypic variation and the possibility of selection to evolve new forms. Theoretical and experimental studies indicate that canalization itself can evolve, that is, increase or decrease over evolutionary time (Gibson and Hogness, 1996; Proulx and Phillips, 2005; Rendel and Sheldon, 1960; Siegal and Bergman, 2002). In this light, it is interesting to consider miR-7. Several lines of evidence indicate that miR-7 has acquired a novel role in sensory organ development specifically within insects and not other animals. The miRNA is expressed in these Drosophila organs but not the orthologous organs of vertebrates. The enhancer that drives its expression in Drosophila sensory organs is not conserved in vertebrates. We found strong conservation of the miR-7 enhancer in Drosophila species divergent over 30 Myrs (SFig. 1A). A cluster of binding sites is also present upstream of the mosquito miR-7 sequence, (SFig. 1B,C), which implies conserved miR-7 transcription in the eyes of other insects. In contrast, the human miR-7-1 gene lacks a cluster of binding sites for the Yan ortholog TEL1, indicating divergent regulation of the human miR-7 ortholog (SFig. 4). Moreover, the vertebrate orthologs of E(spl) and Yan are not predicted targets of miR-7. Indeed, only a few vertebrate/drosophilid orthologs have been conserved as miR-7 targets, and most of these conserved targets have no known role in sensory organ development.
We propose that miR-7 was recruited into insect sensory organ development specifically for the purposes of canalization of those systems. As such, it has helped stabilize the remarkable uniformity of sensory organ form within different insects, particularly observed in the compound eye (Strausfeld and Nassel, 1981). If miR-7 is typical of highly conserved animal miRNAs, then it would imply that the acquisition of novel targets by these miRNAs is not necessarily to generate new traits but to stabilize pre-existing traits.
A 349 bp DNA fragment located 1711 bp upstream of the 5′ end of the Drosophila pre-miR-7 sequence was PCR amplified and inserted into the transgenic expression vector pH-Stinger (Barolo et al., 2004). This contains a minimal promoter driving nuclear GFP. The resulting (miR-7)E>GFP construct was transformed into Drosophila. To make the reporter with mutated Ato/Da binding sites, the two predicted binding sites were mutated from CAGCTG to CCGCTA, and from CATCTG to CCTCTA. The mutated 349 bp enhancer was cloned into pH-Stinger to make (miR-7)E>GFP(-Prn) and transformed into Drosophila. Enhancer activity was assayed in vivo by visualizing GFP fluorescence or GFP protein localization by immunofluorescence.
We used Drosophila stocks carrying miR-7Δ1; yan1; Nts3; GMR-Gal4; dpp-Gal4; ptc-Gal4; UAS-PntP1; UAS-Ttk88; UAS-Ttk69; UAS-EGFR.λtop (UAS-λDER); UAS-EGFR.DN; UAS-Ato; UAS-Sc; UAS-dsRed-miR-7; UAS-miR-7-1401; UAS-E(spl)m7; UAS-E(spl)m8; UAS-E(spl)mδ. Nts3 flies were grown at 18°C and shifted to 31°C for 19 hr before dissection. Flies carrying Gal4 or UAS constructs were grown at 25° or 29°C. Wing notching and ectopic posterior sternopleural bristles were scored twice per animal (once for each left and right side) whereas any lack of or extra scutellar bristles were scored once.
w or CantonS (wildtype) and miR-7Δ1/Dfexu1 stocks were grown in bottles at a uniform temperature of 18 to 25°C for several days. They were shifted to 31°C for 16–24 hr. They were then subjected to two to five rounds of temperature cycles. Each round consisted of a shift to 18°C for 1.5 – 2 hours, and then back to 31°C for 1.5 – 2 hours. Bottles were incubated in air-circulating incubators for each temperature step. At the completion of the final round, either wandering third-instar larvae or white pre-pupae were harvested for analysis.
In situ hybridization against miR-7 mature RNA was performed as described (Li and Carthew, 2005) using an antisense miR-7 LNA probe 5′AAATCACTAGTCTTCCA-3′ned from Exiqon (Vedbaek, Denmark). To detect RNA by fluorescence, TSA Plus Fluorescence Systems from NEN was used following manufacturer’s instructions. Immunofluorescence of third-instar larval and pupal discs was performed as described (Li and Carthew, 2005). Antibodies used were guinea pig anti-Ato, guinea pig anti-Sens, rabbit anti-Ato, rat anti-Elav, mouse anti-GFP, mouse anti-Yan, and mouse anti-Ttk88.
We thank H. Bellen, S. Bray, C. Delidakis, S. Cohen, T. Hayashi, G. Mardon and the Bloomington stock center for fly strains; N. Baker, H. Bellen, T. Hayashi, Z.C. Lai and the Developmental Studies Hybridoma Bank for antibodies; T. Hayashi for sharing unpublished data; R. Gejman for advice and help with all stages of the informatic analysis; Carthew lab members and C. Labonne for discussions; the Biology Imaging Facility at Northwestern University for imaging. This work was supported by the by the Chicago Biomedical Consortium with support from The Searle Funds at The Chicago Community Trust, the NIH (GM077581), the Northwestern Vision Training Grant (C.A.R.), the CMDB Training Grant (J.J.C.), and the Malkin Scholars program.
Publisher's Disclaimer: 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 citable 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.