Accepted Manuscript Drosophila miR-964 modulates Toll signaling pathway in response to bacterial infection Shengjie Li, Jiao Xu, Lianjie Sun, Ruimin Li, Ping Jin, Fei Ma PII:
S0145-305X(17)30355-5
DOI:
10.1016/j.dci.2017.08.008
Reference:
DCI 2963
To appear in:
Developmental and Comparative Immunology
Received Date: 6 July 2017 Revised Date:
15 August 2017
Accepted Date: 15 August 2017
Please cite this article as: Li, S., Xu, J., Sun, L., Li, R., Jin, P., Ma, F., Drosophila miR-964 modulates Toll signaling pathway in response to bacterial infection, Developmental and Comparative Immunology (2017), doi: 10.1016/j.dci.2017.08.008. 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.
ACCEPTED MANUSCRIPT 1
Drosophila miR-964 modulates Toll signaling pathway in response
2
to bacterial infection
3
Shengjie Li1, Jiao Xu1, Lianjie Sun1, Ruimin Li1, Ping Jin1 and Fei Ma1,*
RI PT
4 5
1 Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory
7
for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University,
8
Nanjing 210046, China
9
* To whom correspondence should be addressed. Tel: +86 25 85891852; Fax: +86 25
M AN U
10
85891852; Email:
[email protected].
11
Abstract
TE D
12
SC
6
Recent studies suggest that microRNA (miRNA) plays important roles in the
14
control of immune response and tolerance. We previously found that the expression
15
level of antimicrobial peptide gene Drosomycin (Drs) is decreased in miR-964
16
overexpressing flies. Here, we further verified that miR-964 deficiency leads to
17
hyper-activation of Drs. In addition, we employed three widely-used bioinformatic
18
algorithms to screen potential miR-964 targets. Finally, we identified that miR-964
19
modulates Toll signaling pathway, at least in part, by repressing the expression of Drs.
20
Taken together, our study identifies miR-964 as a modulator of Toll signaling and
21
enriches the repertoire of immune-modulating miRNAs in Drosophila.
22
AC C
EP
13
ACCEPTED MANUSCRIPT 23
Key words: Toll signaling, miR-964, Drosomycin, Drosophila melanogaster
Abbreviations
26
miRNA: microRNA
27
TLRs: Toll-like receptors
28
AMPs: antimicrobial peptides
29
uc: unchallenged
30
Drs: Drosomycin
31
Spz: spätzle
32
3’UTR: 3’-untranslated region
33
M. luteus: Micrococcus luteus
34
E. faecalis: Enterococcus faecalis
36
1. Introduction
M AN U
TE D
35
SC
25
RI PT
24
The innate immune response is the first line of defense against microbial
38
infections in both insects and mammals (Tanji and Ip, 2005). The Toll signaling
39
pathway plays an important role in the Drosophila immune response, which includes
40
the phagocytosis of microbes, the encapsulation and killing of parasites (Hultmark,
41
2003). The identification of the Drosophila melanogaster Toll signaling pathway
42
cascade and the subsequent characterization of Toll-like receptors (TLRs) have
43
reshaped our understanding of the immune system (Valanne et al., 2011). It is
44
well-known about the molecular components of the Drosophila Toll signaling
AC C
EP
37
ACCEPTED MANUSCRIPT pathway and their functions in immune response and tolerance against foreign
46
pathogens (De Gregorio et al., 2002, 2001; Lemaitre et al., 1997). To date, the focus
47
of most studies has been on protein-coding genes (Ji et al., 2014; Ragab et al., 2011).
48
However, the discovery of miRNA has revealed an unexpected layer of genetic
49
programs that regulate the Drosophila immune response at posttranscriptional levels
50
(Chen et al., 2013).
RI PT
45
MiRNA, a class of small non-coding RNAs (~22 nucleotides), mainly regulates
52
expression of specific gene through imperfect base pairing with the 3’-untranslated
53
region (3’UTR) of mRNA (Bartel, 2009). MiRNA has widespread effects on gene
54
expression by influencing target mRNA stability and/or translational efficiency
55
(Brennecke et al., 2005). Emerging evidences indicate that miRNAs play important
56
roles in impacting the intensity and/or duration of Drosophila immune signaling
57
(Choi and Hyun, 2012; Garbuzov and Tatar, 2010; Lee and Hyun, 2014; Xiong et al.,
58
2016). Especially, our recent works have demonstrated that miR-310 family
59
participates in the Toll-mediated immune response (Li et al., 2017), and miR-958
60
directly targets the Toll and Dif genes to negatively regulate the Toll signaling
61
pathway (Li et al., 2016). Therefore, systematic analysis of the innate immune
62
response in the model organism Drosophila has provided important insights into the
63
mechanisms of immune regulation by miRNAs.
AC C
EP
TE D
M AN U
SC
51
64
In the Drosophila Toll signaling pathway, Gram-positive bacterial or fungal
65
infection leads to the systemic production of antimicrobial peptides (AMPs)
66
(Aggarwal and Silverman, 2008). Especially, the antimicrobial peptide Drosomycin (Drs)
ACCEPTED MANUSCRIPT has been deemed to be the principal target of the Toll humoral response (Lemaitre
68
and Hoffmann, 2007). Our previous study showed that the level of AMP gene Drs is
69
decreased in miR-964 overexpressing flies, suggesting that miR-964 might negatively
70
regulate Toll signaling response in Drosophila (Li et al., 2017). To further prove our
71
above hypothesis, in this study, we detailedly investigated the mechanism of miR-964
72
regulating AMP expression in Drosophila. Our results revealed that mir-964 directly
73
targets the AMP gene Drs to negatively regulate the Toll signaling immune response
74
in Drosophila.
75 76
2. Materials and methods
77
2.1
Drosophila culture and stocks
M AN U
SC
RI PT
67
Drosophila stocks were maintained under standard culture conditions. All stocks
79
in this study were obtained from the Bloomington Stock Center. The ubiquitous
80
temperature sensitive Gal80ts-Gal4 driver system was used to express miRNAs of
81
interest specifically in adult flies. Crosses were performed, and the resulting progeny
82
were initially raised at the permissive temperature (18°C) for the inhibitor Gal80 to
83
repress Gal4 activity. Following adult eclosion, flies were transferred to 29°C to allow
84
activation of Gal4 in the adult stage.
86
EP
AC C
85
TE D
78
2.2
Infection and survival experiments
87
Drosophila adult males, aged 3–4 days, were used for septic injury experiments.
88
Control and miRNA-overexpressing flies were infected by Micrococcus luteus (M.
ACCEPTED MANUSCRIPT luteus), a widely used bacterial strain that induces activation of the Toll-mediated
90
immune response, to induce the expression of Drs. Septic injury was performed by
91
pricking the thorax of the flies with a pulled glass capillary carrying M. luteus using a
92
Nanoject apparatus (Nanoliter 2010, WPI) (Neyen et al., 2014). Flies were then
93
incubated at 29°C and collected at appropriate time point post-infection. For the
94
survival experiment, flies were then infected with Enterococcus faecalis (E. faecalis),
95
and survival was monitored for 24 h (Valanne et al., 2010).
SC
2.3
RNA extraction and qRT-PCR
M AN U
96 97
RI PT
89
Total RNA was extracted from control and treated adult flies using Trizol
99
(Invitrogen). cDNA was synthesized using PrimeScript RT Master Mix kit (Takara).
100
Quantitative RT-PCR was performed using SYBR Premix Ex Taq (Takara) in triplicate on
101
an ABI StepOne plus real-time PCR instrument. SYBR Prime Script miRNA RT-PCR kit
102
(Takara) was used for quantitative RT-PCR of miRNAs. rp49 and 5s rRNA genes were
103
used as reference controls. All qRT-PCR primer sequences are listed in Supplemental
104
Table 1.
106 107
EP
AC C
105
TE D
98
2.4
In silico prediction of miRNA targets
Toll signaling pathway related genes that are potential targets of Drosophila
108
miRNAs were identified using three different miRNA prediction algorithms, i.e.
109
TargetScan, miRanda, and PITA (Huang et al., 2011; Li et al., 2010). TargetScan
110
predicts biological targets of miRNAs by searching for the presence of conserved
ACCEPTED MANUSCRIPT 8mer and 7mer sites that match the seed region of each miRNA (Lewis et al., 2005;
112
Ruby et al., 2007). miRanda determines interactions through free-energy dynamics
113
across the entire miRNA : mRNA interaction, with increased weight given to the
114
miRNA 5’ seed region (Enright et al., 2003). PITA requires sequence similarity within
115
the seed region but also determines the accessibility of the mRNA 3’-UTR based on
116
free energy (Kertesz et al., 2007).
117
2.5
Plasmid construction and luciferase assay
M AN U
118
SC
RI PT
111
A miR-964 expression plasmid was constructed from the empty pAc5.1 vector
120
(Promega). The 3’-UTR reporter plasmids for spätzle (Spz) and Drs were generated by
121
inserting PCR-amplified 3’-UTR fragments downstream of the luciferase gene in the
122
pAc5.1 luciferase vector. Binding-site mutant construct was generated via Fast
123
Site-Directed Mutagenesis Kit (TIANGEN). Transient transfections were performed in
124
S2 cells using X-treme GENE HP transfection reagent (Roche). For dual-luciferase
125
reporter assays, cells were harvested at 48 h post-transfection. Firefly and Renilla
126
luciferase activity were measured using the Dual-Luciferase Assay Reporter System
127
(Promega). Renilla luciferase was used to normalize the transfection efficiency.
129
EP
AC C
128
TE D
119
2.6
Western blotting
130
For western blotting, the anti-β-actin primary antibody (Bioworld) was used at a
131
1:2,000 dilution with an anti-rabbit HRP-conjugated secondary antibody (Vazyme) at
132
1:30,000. The antibody against Drs was generated by immunizing rabbits with the
ACCEPTED MANUSCRIPT 133
Escherichia coli-produced recombinant His6-Drs (LSGRYKGPCAVWDNET).
134 135
2.7
Statistical analysis All experimental data in this study were collected from three biological
137
replicates. All statistical analyses were shown as means ± SD. Significant differences
138
between two groups were determined by two-tailed Student’s t-test. Statistical
139
analysis of fly survival experiments was carried out using the log-rank (Mantel-Cox)
140
test. For all tests, a P value < 0.05 was considered statistically significant. ns, not
141
significant, *P < 0.05; **P < 0.01; ***P < 0.001.
M AN U
SC
RI PT
136
142
3. Results
144
3.1 miR-964 is involved in negatively regulating the Drosophila Toll signaling
145
pathway
TE D
143
The expression level of Drs is decreased in miR-964 overexpressing flies in our
147
previous work (Li et al., 2017), so we speculate that Toll signaling might be
148
moderately regulated by miR-964. To further verify whether miR-964 modulates
149
Drosophila immune response, we used septic injury with Gram-positive bacteria (E.
150
faecalis) to examine the effect of miR-964 on the fly’s survival (Fig. 1A). The miR-964
151
overexpressing flies (Gal80ts; Tub>miR-964), control flies (w1118) and miR-964
152
knockout flies (miR-964 KO) were infected by pricking with E. faecalis, respectively.
153
The miR-964 overexpressing flies showed a statistically significant reduction in
154
survival compared with both the control flies and miR-964 knockout flies. However,
AC C
EP
146
ACCEPTED MANUSCRIPT there was no difference between the miR-964 knockout flies and control flies. It’s
156
worth noting that the miR-964 knockout flies had a more significant effect on fly’s
157
survival than control flies by compared with the miR-964 overexpressing flies. These
158
findings suggested that miR-964 might influence the host defense ability against
159
Gram-positive bacterial infection. Next, temporal expression patterns of miR-964
160
were analyzed following exposure to other bacterial (M. luteus) compared with the
161
physical injury control (Fig. 1B). Our results revealed that the expression of miR-964
162
in flies infected by M. luteus was significantly higher than the injured flies at 24 h, 48
163
h and 72 h after challenge, indicating that Drosophila host defense causes the
164
fluctuation of expression level of endogenous miR-964. We further infected miR-964
165
overexpressing flies and miR-964 knockout flies with M. luteus, and tested the
166
expression level of Drs at 0 h, 12 h, 24 h post-infection by qRT-PCR. As expected, the
167
Drs expression in miR-964 overexpressing flies (Gal80ts; Tub>miR-964) was
168
significantly lower than control flies (Gal80ts; Tub-gal4) at 24 h post-infection (Fig. 1C).
169
Whereas, the Drs expression in miR-964 knockout flies (miR-964 KO) was significantly
170
higher than wide-type flies (w1118) both at 12 h and 24 h post-infection (Fig. 1D).
171
Taken together, our results strongly argued that miR-964 negatively regulates Toll
172
signaling immune response in Drosophila.
174
SC
M AN U
TE D
EP
AC C
173
RI PT
155
3.2
In silico prediction of miR-964 targets
175
To understand the molecular mechanism underlying the action of miR-964 in
176
the Toll-mediated innate immune pathway, we carried an in silico genome-wide
ACCEPTED MANUSCRIPT screening in Drosophila using three different online miRNA target prediction
178
methods (TargetScan, miRanda, and PITA). By this means, we overlapped a total of
179
367 targets of miR-964 by all three programs, which could significantly reduce the
180
number of false positives of miRNA targets (Fig. 2A). Subsequently, we analyzed the
181
367 miRNA-target relationships to screen potential target genes of miR-964 involved
182
in Drosophila Toll signaling pathway. We finally identified two Toll signaling
183
pathway-associated genes (Spz and Drs) (Fig. 2B). Both Spz and Drs are canonic
184
components of Toll signaling pathway (Lemaitre et al., 1996). Spz is the extracellular
185
cytokine which shares structural similarities with the nerve growth factor (NGF), and
186
Drs has a marked susceptibility to fungal and Gram-positive bacterial infection. These
187
above findings implied that miR-964 might influence two key genes (Spz and Drs) in
188
Toll signaling pathway to regulate Drosophila innate immune response.
189 190
3.3
TE D
M AN U
SC
RI PT
177
Identification of miR-964 potential targets To investigate whether miR-964 could suppress Spz and Drs expression, we
192
performed luciferase reporter assays in Drosophila S2 cells. The full-length 3’-UTR of
193
Drosophila Spz and Drs mRNA were cloned and inserted into downstream of the
194
firefly luciferase cDNA reporter vector, respectively (Fig. 3A). Our results
195
demonstrated that miR-964 was unable to suppress the luciferase activity of the
196
reporter with the 3’-UTR of Spz compared with the activity of the control reporter
197
(Fig. 3B). However, miR-964 expression significantly reduced the activity of the
198
luciferase reporter having the 3’-UTR of Drs by 50% compared to the pAc-empty
AC C
EP
191
ACCEPTED MANUSCRIPT 199
control (Fig. 3C). This result seems to indicate that the Drs might be a target of
200
miR-964. Besides, to further verify the target sites of the Drs 3’-UTR, we generated Drs
202
3’-UTR mutant, in which the binding sites for seed sequences of miR-964 were
203
mutated (Fig. 3A). The mutant reporter (Drs mut 3’-UTR) was not repressed by
204
miR-964 expression in the co-transfection experiment (Fig. 3D). Overall, these results
205
demonstrated that the 3’-UTR of Drs contains an operational binding site for miR-964
206
to down-regulate. Therefore, we suggested that miR-964 might directly regulate the
207
expression of Drs to involve in Toll signaling response in Drosophila.
M AN U
SC
RI PT
201
208 209
3.4
Drs is a direct target of miR-964
To further determine the effect of miR-964 targeting Drs on regulation of Toll
211
innate immunity signaling in vivo, we experimental studied the mRNA levels of Spz
212
and Dif after overexpression of miR-964. The results showed that miR-964
213
overexpressing flies did not alter mRNA levels of Spz and Dif compared with controls
214
both at 12 h and 24 h after M. luteus infection (Fig. 4A-B). Next, we further measured
215
the expression of other AMPs induced by the Toll signaling pathway, including
216
Defensin and Metchnikowin (Fig. S1). The results demonstrated that Defensin and
217
Metchnikowin appeared to have no obvious changes compared to the control flies
218
under the same circumstances. Therefore, we speculated that miR-964 only leads to
219
the decrease of AMP Drs rather than other AMPs. Furthermore, western blotting
220
analysis also showed that the protein expression level of Drs was significantly
AC C
EP
TE D
210
ACCEPTED MANUSCRIPT inhibited in miR-964 overexpressing flies at 24 h post-infection (Fig. 4C). Consistently,
222
miR-964 knockout flies exhibited enhanced Toll signaling activity, and Drs expression
223
was upregulated in miR-964 knockout flies at 24 h post-infection (Fig. 4D). Taken
224
together, we concluded that miR-964 could negatively regulate Toll signaling
225
response via controlling the expression of Drs.
226
228
flies
miR-964 sponge restores the immune phenotype of miR-964 overexpressing
SC
3.5
M AN U
227
RI PT
221
229
To further verify that miR-964 inhibits Toll signaling via targeting Drs, we
230
simultaneously overexpressed miR-964 and a miR-964 sponge in adult flies. The
231
miR-964 sponge could reduce miR-964 expression levels by soaking up miR-964
232
molecules.
233
Tub>miR-964+miR-964 sponge) rescues Drs mRNA expression, restoring it back to the
234
level of controls (Fig. 5A). In addition, to monitor the differential effects of miR-964
235
on the Drs expression in live flies, we also established Drs-green fluorescent protein
236
(GFP) reporter transgenic flies. In agreement with the data from qRT-PCR assays,
237
miR-964 overexpressing flies displayed a significantly lower GFP expression than
238
control flies at 24 h post-infection (Fig. 5B). Similarly, miR-964 and miR-964 sponge
239
co-expression also restored GFP expression level. These above results further
240
confirmed that miR-964 inhibits Toll signal via directly targeting Drs.
reduction
of
exogenous
miR-964
(Gal80ts;
EP
AC C
241 242
this
TE D
Indeed,
4. Discussion
ACCEPTED MANUSCRIPT The immune system plays critical roles in maintaining homeostasis and
244
defending against invading pathogens. To maintain homeostasis, the immune system
245
must provide stability and withstand challenges. Targeted deletion of some miRNA
246
genes can affect the homeostasis of the immune system. For example, loss of
247
miR-155, miR-146a, and miR-223 all result in mild inflammatory responses in aged
248
mice (Boldin et al., 2011; Johnnidis et al., 2008; Rodriguez et al., 2007; Thai et al.,
249
2007). These results suggest that miRNA genes may be helpful for maintaining the
250
homeostasis of the immune system. Recently our group has employed a transgenic
251
UAS-miRNA library to identify miRNAs regulating Toll innate immunity signaling at a
252
genome-scale (Li et al., 2017). This analysis has revealed that the direct effect of
253
miRNA on the downstream AMP genes to regulate Toll innate immunity signaling is
254
not unusual. Thus, we conclude that this regulation pattern could efficiently maintain
255
the homeostasis of the immune system.
TE D
M AN U
SC
RI PT
243
In this study, we showed that miR-964 deficiency in flies leads to
257
hyper-activation of AMP gene Drs and enhances survival rate of flies in the presence
258
of immune challenge, and that over-expression of miR-964 compromises innate
259
immunity. Furthermore, our analyses revealed that Drs is the direct target gene of
260
miR-964. Besides Drs, our study also identifies other miR-964 target genes relevant to
261
Toll signaling. However, we find that miR-964 does not repress the expression of
262
other components in Toll signaling. Thus, our study uncovers miR-964 as a new
263
component of a fine-tuning regulatory circuit that maintains the homeostasis of Toll
264
signaling via directly inhibiting AMP gene.
AC C
EP
256
ACCEPTED MANUSCRIPT The miR-964 is encoded by the intron of CG31646 and belongs to the
266
miR-959~964 cluster. A previous study also showed that the miR-959~964 cluster
267
could inhibit immune function against pathogen and/or change the peak survival
268
time (Vodala et al., 2012). While it is clear that miR-964 becomes one regulator in Toll
269
innate immunity signaling, it appears that the underlying molecular mechanism of
270
miR-959~964 cluster is rather complex. Moreover, the miR-959~964 cluster showed a
271
similar phase and robust amplitude. Thus, they are probably encoded in a single
272
transcription unit. It’s worth noting that the miR-959~964 cluster members have
273
different seed sequences for each member. And that the miR-959~964 cluster has
274
stronger effect on Toll innate immunity signaling than single miR-964. Therefore, it
275
would be interesting to assess potential immune function of each member of the
276
cluster against pathogens. However, how many immune genes are miR-959~964
277
cluster’s targets and the extent of each miRNA’s contribution to Drosophila immune
278
homeostasis remains an open question, which merits further investigation.
TE D
M AN U
SC
RI PT
265
In summary, our study enriches the repertoire of immune-modulating miRNAs,
280
and provides new insights into the regulatory mechanism of Toll innate immunity
281
signaling by miRNAs in Drosophila.
283 284
AC C
282
EP
279
Conflict of interest
All authors declare no conflicts of interest.
285 286
Acknowledgements
ACCEPTED MANUSCRIPT This work was supported by the National Natural Science Foundation of China
288
(No.31572324), the National Natural Science Youth Foundation of China (No.
289
31501863), the Natural Science Research Project of Jiangsu Higher Education
290
Institutions (No.16KJB180014) and the Priority Academic Program Development of
291
Jiangsu Higher Education Institutions.
RI PT
287
292
294
SC
293
References
296 297 298 299
M AN U
295
Aggarwal, K., Silverman, N., 2008. Positive and negative regulation of the Drosophila immune response. BMB Rep. 41, 267–277.
Bartel, D.P., 2009. MicroRNAs: target recognition and regulatory functions. Cell 136, 215–233.
Boldin, M.P., Taganov, K.D., Rao, D.S., Yang, L., Zhao, J.L., Kalwani, M., Garcia-Flores,
301
Y., Luong, M., Devrekanli, A., Xu, J., 2011. miR-146a is a significant brake on
302
autoimmunity, myeloproliferation, and cancer in mice. J. Exp. Med. 208,
303
1189–1201.
EP
305
Brennecke, J., Stark, A., Russell, R.B., Cohen, S.M., 2005. Principles of microRNA–target recognition. PLoS Biol 3, e85.
AC C
304
TE D
300
306
Chen, C., Schaffert, S., Fragoso, R., Loh, C., 2013. Regulation of immune responses
307
and tolerance: the microRNA perspective. Immunol. Rev. 253, 112–128.
308
Choi, I.K., Hyun, S., 2012. Conserved microRNA miR-8 in fat body regulates innate
309
immune homeostasis in Drosophila. Dev. Comp. Immunol. 37, 50–54.
310
De Gregorio, E., Spellman, P.T., Rubin, G.M., Lemaitre, B., 2001. Genome-wide
311
analysis of the Drosophila immune response by using oligonucleotide
312
microarrays. Proc. Natl. Acad. Sci. 98, 12590–12595.
313
De Gregorio, E., Spellman, P.T., Tzou, P., Rubin, G.M., Lemaitre, B., 2002. The Toll and
ACCEPTED MANUSCRIPT 314
Imd pathways are the major regulators of the immune response in Drosophila.
315
EMBO J 21, 2568–2579.
319 320 321 322 323 324
Garbuzov, A., Tatar, M., 2010. Hormonal regulation of Drosophila microRNA let-7
RI PT
318
targets in Drosophila. Genome Biol 5, R1.
and miR-125 that target innate immunity. Fly (Austin). 4, 306–311.
Huang, Y., Shen, X.J., Zou, Q., Wang, S.P., Tang, S.M., Zhang, G.Z., 2011. Biological functions of microRNAs: a review. J Physiol Biochem 67, 129–139.
Hultmark, D., 2003. Drosophila immunity: paths and patterns. Curr. Opin. Immunol.
SC
317
Enright, A.J., John, B., Gaul, U., Tuschl, T., Sander, C., Marks, D.S., 2003. MicroRNA
15, 12–19.
Ji, S., Sun, M., Zheng, X., Li, L., Sun, L., Chen, D., Sun, Q., 2014. Cell-surface
M AN U
316
325
localization of Pellino antagonizes Toll-mediated innate immune signalling by
326
controlling MyD88 turnover in Drosophila. Nat Commun 5. Johnnidis, J.B., Harris, M.H., Wheeler, R.T., Stehling-Sun, S., Lam, M.H., Kirak, O.,
328
Brummelkamp, T.R., Fleming, M.D., Camargo, F.D., 2008. Regulation of
329
progenitor cell proliferation and granulocyte function by microRNA-223. Nature
330
451, 1125–1129. doi:10.1038/nature06607
TE D
327
331
Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., Segal, E., 2007. The role of site
332
accessibility in microRNA target recognition. Nat. Genet. 39, 1278–1284.
335 336 337 338 339 340
EP
334
Lee, G.J., Hyun, S., 2014. Multiple targets of the microRNA miR-8 contribute to immune homeostasis in Drosophila. Dev. Comp. Immunol. 45, 245–251. Lemaitre, B., Hoffmann, J., 2007. The host defense of Drosophila melanogaster. Annu.
AC C
333
Rev. Immunol. 25, 697–743.
Lemaitre, B., Nicolas, E., Michaut, L., Reichhart, J.-M., Hoffmann, J.A., 1996. The dorsoventral regulatory gene cassette spätzle/Toll/cactus controls the potent antifungal response in Drosophila adults. Cell 86, 973–983. Lemaitre, B., Reichhart, J.-M., Hoffmann, J.A., 1997. Drosophila host defense:
341
differential induction of antimicrobial peptide genes after infection by various
342
classes of microorganisms. Proc. Natl. Acad. Sci. 94, 14614–14619.
343
Lewis, B.P., Burge, C.B., Bartel, D.P., 2005. Conserved seed pairing, often flanked by
ACCEPTED MANUSCRIPT 344
adenosines, indicates that thousands of human genes are microRNA targets.
345
Cell 120, 15–20.
346 347
Li, L., Xu, J., Yang, D., Tan, X., Wang, H., 2010. Computational approaches for microRNA studies: a review. Mamm. Genome 21, 1–12. Li, S., Li, Y., Jin, P., Chen, L., Ma, F., 2016. miR-958 inhibits Toll signaling and
349
Drosomycin expression via directly targeting Toll and Dif in Drosophila
350
melanogaster. Am. J. Physiol. Physiol. ajpcell. 00251.2016.
351
RI PT
348
Li, Y., Li, S., Li, R., Xu, J., Jin, P., Chen, L., Ma, F., 2017. Genome-wide miRNA screening reveals miR-310 family members negatively regulate the immune response in
353
Drosophila melanogaster via co-targeting Drosomycin. Dev. Comp. Immunol. 68,
354
34–45.
356
M AN U
355
SC
352
Neyen, C., Bretscher, A.J., Binggeli, O., Lemaitre, B., 2014. Methods to study Drosophila immunity. Methods 68, 116–128.
Ragab, A., Buechling, T., Gesellchen, V., Spirohn, K., Boettcher, A., Boutros, M., 2011.
358
Drosophila Ras/MAPK signalling regulates innate immune responses in immune
359
and intestinal stem cells. EMBO J 30, 1123–1136.
TE D
357
Rodriguez, A., Vigorito, E., Clare, S., Warren, M. V, Couttet, P., Soond, D.R., van
361
Dongen, S., Grocock, R.J., Das, P.P., Miska, E.A., Vetrie, D., Okkenhaug, K.,
362
Enright, A.J., Dougan, G., Turner, M., Bradley, A., 2007. Requirement of
363
bic/microRNA-155 for normal immune function. Science (80-. ). 316, 608–611.
364
doi:10.1126/science.1139253
EP
360
Ruby, J.G., Stark, A., Johnston, W.K., Kellis, M., Bartel, D.P., Lai, E.C., 2007. Evolution,
366
biogenesis, expression, and target predictions of a substantially expanded set of
367 368 369 370
AC C
365
Drosophila microRNAs. Genome Res 17, 1850–1864.
Tanji, T., Ip, Y.T., 2005. Regulators of the Toll and Imd pathways in the Drosophila innate immune response. Trends Immunol 26, 193–198. Thai, T.H., Calado, D.P., Casola, S., Ansel, K.M., Xiao, C., Xue, Y., Murphy, A.,
371
Frendewey, D., Valenzuela, D., Kutok, J.L., Schmidt-Supprian, M., Rajewsky, N.,
372
Yancopoulos, G., Rao, A., Rajewsky, K., 2007. Regulation of the germinal center
373
response by microRNA-155. Science (80-. ). 316, 604–608.
ACCEPTED MANUSCRIPT 374 375
doi:10.1126/science.1141229 Valanne, S., Myllymäki, H., Kallio, J., Schmid, M.R., Kleino, A., Murumägi, A., Airaksinen, L., Kotipelto, T., Kaustio, M., Ulvila, J., 2010. Genome-wide RNA
377
interference in Drosophila cells identifies G protein-coupled receptor kinase 2
378
as a conserved regulator of NF-κB signaling. J. Immunol. 184, 6188–6198.
379
Valanne, S., Wang, J.-H., Rämet, M., 2011. The Drosophila toll signaling pathway. J.
380 381
RI PT
376
Immunol. 186, 649–656.
Vodala, S., Pescatore, S., Rodriguez, J., Buescher, M., Chen, Y.-W., Weng, R., Cohen, S.M., Rosbash, M., 2012. The oscillating miRNA 959-964 cluster impacts
383
Drosophila feeding time and other circadian outputs. Cell Metab 16, 601–612.
SC
382
Xiong, X.-P., Kurthkoti, K., Chang, K.-Y., Li, J.-L., Ren, X., Ni, J.-Q., Rana, T.M., Zhou, R.,
385
2016. miR-34 Modulates Innate Immunity and Ecdysone Signaling in Drosophila.
386
PLoS Pathog 12, e1006034.
387 388
M AN U
384
Fig. 1. miR-964 as a negative regulator of Toll signaling pathway
390
(A) The flies were challenged with E. faecalis and the survival of the flies was
391
monitored for 24 h. Wild-type flies (w1118) were used as a control. Wild-type flies
392
(n=80); miR-964 overexpressing flies (n=69); miR-964 knockout flies (n=96). (B)
393
Kinetics of expression of miR-964 in non-infected and M. luteus-infected flies.
394
miR-964 overexpressing (C) or knockout (D) flies and controls were infected with M.
395
luteus for 0 h, 12 h and 24 h and lysed for qRT-PCR analysis to measure mRNA levels
396
of Drs. *P<0.05, **P<0.01.
AC C
EP
TE D
389
397 398
Fig. 2. Prediction of miR-964 targeted genes associated with Toll signaling in
399
Drosophila.
ACCEPTED MANUSCRIPT (A) In silico prediction of miR-964 targeted genes in Drosophila was performed using
401
TargetScan, miRanda, and PITA software. A Venn diagram was created using the
402
online software Draw Venn Diagram. (B) Software Cytoscape demonstrates miR-964
403
targeted genes (Spz and Drs) associated with Toll signaling pathway.
404
RI PT
400
Fig. 3. miR-964 targets Drs, not Spz, in S2 cells.
406
(A) The construct used to generate the 3’UTR reporter vectors for Spz and Drs.
407
Mutant vector was constructed by replacing seed sequence components with the
408
mutant gcggagc sequence. The interactions between miR-964 and its predicted
409
target sequences in the 3’-UTRs of Spz (B), Drs (C), and Drs mut (D) were determined
410
in Drosophila S2 cells. Forty-eight hours after transfection, cells were lysed for
411
luciferase assays; firefly luciferase was normalized to Renilla luciferase activity. ns, no
412
significant; ***P<0.001.
M AN U
TE D
413
SC
405
Fig. 4. miR-964 inhibits expression of Drs in vivo.
415
The mRNA expression levels of Spzl (A) and Dif (B) were determined in miR-964
416
overexpressing flies and controls at 0, 12, and 24 h after M. luteus infection. Drs
417
protein of miR-964 overexpressing (C) or knockout (D) flies and controls was
418
measured at 0, 12, and 24 h post-infection.
AC C
EP
414
419 420
Fig. 5. miR-964 sponge restores Toll signaling in miR-964 overexpressing flies.
421
(A) The levels of Drs were examined in control flies (Gal80ts; Tub-gal4),
ACCEPTED MANUSCRIPT miR-964-overexpressing flies (Gal80ts; Tub>miR-964), and miR-964 and miR-964
423
sponge co-expression flies (Gal80ts; Tub>miR-964+miR-964 sponge) at 24 h
424
post-infection. (B) The fluorescence observed in miR-964 overexpressing fly (middle)
425
shows less than the control fly (left) were infected with M. luteus for 24 h. Moreover,
426
introduction of miR-964 sponge (right) restores GFP expression levels. ns, no
427
significant; ***P<0.001.
AC C
EP
TE D
M AN U
SC
RI PT
422
AC C
EP
TE D
M AN U
SC
RI PT
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ACCEPTED MANUSCRIPT
ACCEPTED MANUSCRIPT Highlights •
miR-964 fine-tunes over-activation of immune responses via negatively regulating Toll signaling in Drosophila.
•
Overexpression or knockout of miR-964 alters the expression of antimicrobial
EP
TE D
M AN U
SC
Drosomycin is identified as the target of miR-964.
AC C
•
RI PT
peptide Drosomycin after Micrococcus luteus infection.