Abstract
The indigenous small non-coding RNAs, known as microRNAs (miRNAs), are important regulators of gene expression and many of them are evolutionarily conserved. Whether stem-loop RT-PCR, as a sensitive method, could be utilized to clone conserved miRNAs from non-model insects lacks information. Here, three miRNAs, sli-miR-14, sli-miR-2a and sli-bantam, were cloned from Spodoptera litura by stem-loop RT-PCR. Two groups of primers were designed, and one of them performed especially well and proved stable. The sequences of two highly conserved miRNAs, sli-miR-14 and sli-miR-2a were identical to those in Drosophila melanogaster. To validate the reliability of this strategy, pre-miR-14 and pre-miR-2a in S. litura as representatives were given as well; this shared high homology with those in D. melanogaster and Bombyx mori, and both mature sequences of sli-miR-14 and sli-miR-2a in their precursors shared 100% identity to the results shown by stem-loop RT-PCR. Moreover, expression patterns of these miRNAs were investigated by real-time quantitative PCR. Sli-miR-14 and sli-miR-2a could be detected successfully and their expression patterns showed similar characteristics with those in model insects, further suggesting stem-loop RT-PCR technology can be used for identification of highly conserved miRNAs in non-model insects. These results provide a simplified and efficient strategy for studying the structure and function of highly conserved miRNAs, especially some critical miRNAs in non-model insects.
Keywords: microRNA, precursor, identification, stem-loop RT-PCR, non-model insect, sequence conservation, Spodoptera litura
1. Introduction
MicroRNAs (miRNAs) are small (~22 nucleotides) non-coding RNAs molecules bound to 3′-untranslated regions (3′-UTR) of messenger RNA (mRNA) of the target genes by incomplete base-pairing and regulate gene expression at post-transcriptional level [1–3]. The genes encoding miRNAs are usually located in intergenic regions, some in the introns of known genes, and even within expressed sequence tags (ESTs). In the nucleus, a stem-loop (hairpin) primary miRNA (pri-miRNA) as a newly-transcribed RNA is processed into a 70~90 nt hairpin long precursor miRNA (pre-miRNA) by Drosha nuclease. Then, pre-miRNA is exported to the cytosol and cut into a short double-stranded RNA by the Dicer nuclease, which is loaded onto a protein complex called the RNA-induced silencing complex (RISC), where a protein in the Argonaute family binds to one mature strand to form an active miRNA-RISC complex, then the mature short miRNAs act on their targets and lead to the inhibition of translation [4,5].
MiRNAs have been shown to be ubiquitous in multicellular organisms and many of them are evolutionarily conserved [6–8]. It has been verified that miRNAs play pivotal roles in a wide variety of biological processes including developmental timing, cell proliferation, apoptosis and neural development [2,9,10]. MiRNAs were originally isolated by a direct cloning procedure in Drosophila melanogaster and many of them are sequence conserved with those of Caenorhabditis elegans [11–13]. In recent years, research on insects’ miRNAs has extended gradually from D. melanogaster to other model insects, such as Apis mellifera [14], Bombyx mori [15,16] and Tribolium castaneum [17]. Although rapid progresses have been achieved in discovering new miRNAs and exploring their biological roles in model insects, studies on miRNAs in non-model insects, especially in agricultural insects make slow progress.
The identification and quantification of miRNAs has been limited by their short length and low abundance. Currently, there are three main strategies for the amplification of miRNAs. Firstly, 5′ and 3′ adaptors are ligated to small RNAs, cDNA are generated by reverse transcription (RT) with primers derived from the two adaptors [18]. It can be used for massive separation and identification of miRNAs, as well as the discovery of novel miRNAs. However, complicated procedures, rigorous operation and massive work have hampered its availability and development. Secondly, only 3′ adaptor is ligated to small RNAs, miRNA-specific primer and 3′ adaptor primer are in conjunction with cDNA for miRNA amplification [19,20]. Although the phosphorylation and ligation have been omitted in this method, the whole procedure is complicated. The application of commercial kit increases the success rate, but increases the cost. Thirdly, a miRNA-specific stem-loop primer is used for RT procedure. PCR reverse primer is based on the stem-loop RT primer, while the forward primer is designed by the 5′ end of mature miRNA [21,22]. Only total RNA should be extracted from organisms, tissues or cells by this method, which provides a simple operation and costs less. Compared with the first way, designs of PCR forward primer are limited by the sequence of known miRNA in the second and third ways. Therefore the latter two are always used for quantitative determination of known miRNAs in model insects; however, until now there has been no report on the application of them for identifying miRNAs in non-model insects.
Three known miRNAs, miR-14, miR-2a and bantam, play important roles in the developmental stages in D. melanogaster [23,24], such as regulating steroid hormone signaling [25] and apoptosis [12,26,27]. Here, these three miRNAs, which exist in model insects, were presented as a model to confirm the adaptability to identify the homologues of known miRNAs in non-model insects by stem-loop RT-PCR technology. The homologues of miR-14, miR-2a and bantam were cloned from Spodoptera litura, a prevalent agriculture pest in China, by stem-loop RT-PCR, and their expression patterns in different developmental stages were also investigated to confirm the results of sequence analysis. These observations provide a new strategy for the identification of miRNAs in various organisms.
2. Results and Discussion
2.1. Amplification and Identification of sli-miR-14, sli-miR-2a and sli-bantam from S. litura
To identify the availability of stem-loop RT-PCR technology for cloning conserved miRNAs from non-model insects, the sequences of miR-14, miR-2a and bantam in model insects were searched from miRBase (Table S1). Two groups of primers for amplification were designed based on the sequences of mature miRNAs in D. melanogaster (shown in Experimental Section).
The putative homologue of the three miRNAs in S. litura, namely sli-miR-14, sli-miR-2a and sli-bantam were cloned by a stem-loop RT-PCR technique. Ten positive clones of each sample were sequenced. When Group 1 was used for amplification of miR-14, miR-2a and bantam, PCR products were 86 bp, 89 bp, 89 bp, respectively (Figure 1a); when Group 2 was used, PCR products were 76 bp, 79 bp and 79 bp in length, respectively (Figure 1b). Sequence analysis of the single bands showed that specific amplifications consisted of all bases of putative miRNA, PCR forward primer and reverse primer. Sequences of these cloned miRNAs in S. litura showed 100% match to those in D. melanogaster.
Figure 1.
(a) Performance of Groups 1 primers by stem-loop RT-PCR. The bands size is amplified as shown by the arrow along with a 100 bp DNA marker (M). Left are PCR products of putative miR-2a (1), bantam (2), and miR-14 (3) of S. litura which were 89 bp, 89 bp, 86 bp, respectively, and their corresponding minus-RT control are shown on the right; (b) Performance of Groups 2 primers by stem-loop RT-PCR. The bands size is amplified as shown by the arrow along with a 100 bp DNA marker (M). PCR products of putative miR-2a (1), bantam (3), and miR-14 (5) of S. litura were 79 bp, 79 bp, 76 bp, respectively, and minus-RT control by using primers of miR-2a (2), bantam (4), and miR-14 (6) were shown besides the putative miRNAs.
To verify the present results, fragments appeared in blank control group were also purified from 2.5% agarose gels, ligated into the T-vector and then sequenced. These non-specific fragments amplified with Group 1 primers were diverse according to agarose gel electrophoresis analysis, sequence analysis showed that all fragments just consisted of PCR forward primer and reverse primer, rather than the target miRNAs (Figure 1a). By using primers of Group 2, the fragments in blank control group of each miRNA displayed a single band by agarose gel electrophoresis (Figure 1b). Similarly, sequence analysis showed these fragments in each experimental group just included the forward primer, reverse primer, and/or other non-specific bases.
Performances of the two groups of primers were also different in the experimental group. Some non-specific amplifications appeared in experimental group with primers of Group 1, but the majority of sequenced colonies contained all bases of putative miRNA. By using primers of Group 2, agarose gel electrophoresis showed amplified fragment was a single band when cDNA was added into the reaction volume, sequence analysis also confirmed it. All indicated that primers bound to cDNA much more tightly than themselves in experimental group. Although two groups of primers could be used for cloning conserved miRNAs from S. litura, Group 2 performed better and was more stable; same results were shown in electrophoretogram (Figure 1). Based on the electrophoresis and sequence analysis of RT-PCR, Group 2 primers were more suitable for a quantitative PCR (qPCR) assay.
2.2. Cloning and Analysis of pre-miR-14 and pre-miR-2a from S. litura
To verify the present results, homology of pre-miR-14 and pre-miR-2a were cloned from S. litura. According to the two ESTs of Spodoptera frugiperda which are highly homologous to putative sli-miR-14 and four ESTs of Heliothis virescens, a 322 bp fragment was amplified using degenerate primers Pre-14F and Pre-14R from genomic DNA of adult of S.litura. This fragment showed 97.5% identity to the ESTs of S. frugiperda and 82 bp putative pre-sli-miR-14 was contained in it (Figure 2a). Blast procedure had been performed to analyze the homology among the putative pre-miR-14 in S.litura and that in B. mori and D. melanogaster. Results showed the putative pre-sli-miR-14 shared 83.8% and 73% homology to pre-bmo-miR-14 and pre-dme-miR-14 respectively (Figure 2b).
Figure 2.
(a) The sequence alignment of partial sequences of pri-miR-14 between S. litura and S. frugiperda; (b) The sequence alignment of entire sequences of pre-miR-14 among S. litura, B. mori and D. melanogaster. Black shades represent completely conserved bases. Mature sequence of sli-miR-14 was underlined by red line.
A cluster of miR-2a-1, miR-2a-2, miR-2b, miR-13a and miR-13b is localized on chromosome 1 of B. mori, indicating there are two precursors of miR-2a, and miR-2a-2 is in the interior of this cluster. Therefore, Primers Pre-2aF and Pre-2aR were designed according to the conserved miRNAs for amplifying pre-miR-2a-2, and rising nealing temperature to 65 °C to inhibit non-specific amplification. A 552bp fragment containing putative pre-sli-miR-2a-2 was amplified from genomic DNA of adult of S. litura. Sequence analysis showed that this fragment was 68.9% identity to the homologue in B. mori, there are three highly conserved regions besides two primers’ sites, where highly conserved miRNAs including miR-2a-2, miR-13a and miR-13b exist (Figure 3a). The putative pre-sli-miR-2a showed 81.1% and 70.4% similarities with pre-bmo-miR-2a and pre-dme-miR-2a respectively (Figure 3b).
Figure 3.
(a) The sequence alignment of partial sequences of pri-miR-2a between S. litura and B. mori; (b) The sequence alignment of entire sequences of pre-miR-2a among S. litura, B. mori and D. melanogaster. Black shades represent completely conserved bases. Mature sequence of sli-miR-2a was underlined by red line, putative sli-miR-13a and sli-miR-13b were also underlined by green and blue line, respectively.
Moreover, both mature sequences of miR-14 and miR-2a in their precursors shared 100% identity to the results shown by stem-loop RT-PCR. In order to verify the result, secondary structure of two putative pre-miRNAs were predicted by mfold program. Results showed that putative pre-miR-14 and pre-miR-2a of S. litura can form stable stem-loop structures (initial ΔG = −41.80 and ΔG = −41.20 respectively) and are highly homologous to those of B. mori and D. melanogaster, indicating they are the precursors of sli-miR-14 and sli-miR-2a (Figure 4). Above all suggested stem-loop RT-PCR could be used in identification of highly conserved miRNAs in non-model insects.
Figure 4.
The stem-loop structures of precursors and mature forms (highlighted in red) of miR-14 (a) and miR-2a (b) in S. litura, B. mori and D. melanogaster.
2.3. Expression Patterns of sli-miR-14, sli-miR-2a and sli-bantam from S. litura
The expression patterns of the putative miRNAs, sli-miR-14, sli-miR-2a and sli-bantam were also studied to make a further validation of this method. Group 2 primers were used for a qPCR assay. Although putative sli-bantam could be cloned by stem-loop RT-PCR, no stable results of qPCR could be obtained here (data not shown). However, the expression patterns of sli-miR-14 and sli-miR-2a, two highly conserved miRNAs in insect, could be obtained in this assay. PCR efficiency was determined on the miRNAs as well as 5S rRNA. The efficiency of miR-14, miR-2a and 5S rRNA was close to the ideal value of 2 (Table 1), therefore relative quantification (RQ) of miRNA expression was calculated with 2−Δ ΔCt method [28,29].
Table 1.
Efficiency of amplification for miRNAs and 5S rRNA.
| RNA | linear equation | PCR efficiency | R2 |
|---|---|---|---|
| Sli-miR-14 | y = −3.3125x + 39.562 | 2.0039 | 0.9987 |
| Sli-miR-2a | y = −3.2811x + 36.678 | 2.0173 | 0.9995 |
| 5S | y = −3.3915x + 33.219 | 1.9718 | 0.9945 |
Sli-miR-14 was expressed strongly in all developmental stages of S. litura, but there were some differences among developmental stages. The relative expression levels of sli-miR-14 were 1.47-, 4.22-, 3.78-, 2.26-, 1.87-, 0.37- and 9.07-fold higher in the first instar, third instar, fourth instar, six instar, pre-pupa, pupa and adult than in eggs, respectively (Figure 5a), which indicated that sli-miR-14 expressed in pupal stage lower than in other stages, and especially strongly in adult stage.
Figure 5.
The relative expression levels of sli-miR-14 (a) and sli-miR-2a (b) in different developmental stages. Data are presented as means ± SE for three experimental replicates. Letters above each bar indicate expression significance in the different stages by Duncan’s Multiple Ranges Test.
Development-specific expression patterns for sli-miR-2a were also detected by qPCR. There were significant differences among various developmental stages, the relative expression levels of sli-miR-2a were 2.89-, 15.65-, 24.55-, 4.88-, 2.23-, 38.68- and 1.81-fold higher in the first instar, third instar, fourth instar, six instar, prepupa, pupa and adult than in egg, respectively (Figure 5b). Sli-miR-2a expressed at low level in egg, prepupa and adult stages, instead expressed most strongly in pupa stage, which accord with that in model insects, D. melanogaster [30] and B. mori [24].
2.4. Discussion
As we know, stem-loop RT-PCR is a very sensitive method for quantitative determination of known miRNAs, even one base difference between two miRNAs in the same family could be detected and distinguished by this method [31]. Whether stem-loop RT-PCR could be used for identifying conserved miRNAs in non-model insects was studied in this paper. Two groups of primers were designed to access the availability of this method. Six nucleotides of 3′ end of stem-loop RT primer were complementary with 3′ end of mature miRNAs, other nucleotides of RT primer were partially complementary with themselves to form a stem, and the remaining nucleotides form a loop. The PCR reverse primer was universal, while the forward primer was designed by mature miRNAs (Figure 6a). In order to make a distinction between specific and non-specific amplifications, only partial bases of miRNA were contained in forward primer. Two bases, three bases and four bases were not included in primers of miR-14, miR-2a and bantam, respectively (Figure 6b). The designing of stem-loop RT primers often presents learners with difficulties in some way; the primers designed in this assay also provide references for later research on other miRNAs.
Figure 6.
The principle of stem-loop RT-PCR in present paper: (a) Stem-loop primer was designed to increase the length of mature miRNAs. PCR forward primer was designed by putative miRNAs, the universal reverse primer was designed by stem-loop primer. The box formed by dotted line represents the bases not included in primers; (b) Six nucleotides of 3′ end of stem-loop RT primer are complementary with 3′ end of mature miRNAs of D. melanogaster. Two bases, three bases and four bases were not included in RT-PCR primers of miR-14, miR-2a and bantam, respectively (colored red), thus miRNAs or non-specific amplification could be distinguished by sequence analysis.
MiR-14 and miR-2a are more conserved members of miRNAs family than bantam in model insects including D. melanogaster and B. mori (Table S1). Sequence analysis indicated that homologue of the three miRNAs could be cloned from S. litura by stem-loop RT-PCR. In order to confirm whether the PCR products are endogenous miRNAs, putative precursors of miR-14 and miR-2a as representatives were also cloned from S. litura, results showed that both their sequences and secondary structures were highly conserved with model insects. The mature sli-miR-14 and sli-miR-2a in their precursors shared 100% identity to the results shown by stem-loop RT-PCR. Then, sli-miR-14 and sli-miR-2a were successfully detected by a qPCR assay and their expression patterns showed similar characteristics with those in model insects. Instead, abnormal amplification appeared in qPCR of sli-bantam, there is no significant difference in Ct values in the presence or absence of cDNA added to the RT reactions (data not shown). As mentioned above, only six bases of 3′ end of putative miRNA were complementary with stem-loop RT primer, but PCR forward primer was restricted by the 5′ end of miRNAs, suggesting this strategy can be used for identification of highly conserved miRNAs and distinguished variation appeared in 3′ region of miRNAs. However, this method is difficult to differentiate variation appeared in 5′ region of miRNAs. Some miRNAs with evolutional variation in their 5′ region, such as bantam, cannot show accurate sequences in non-model insects and toned to be identified together by other methods.
Although the identification of miRNAs in non-model insects with stem-loop RT-PCR is limited by 5′ region of putative miRNA, large amounts of miRNAs that are highly conserved, such as miR-14 and miR-2a, can be simply cloned by this method. It has been clearly stated that cell autonomous anti-apoptotic activity mediated by miR-14 and miR-2a [12,27], miR-14 also plays critical role in molting process [25], indicating miRNAs are involved in strict developmental regulation in insects. Studies on miRNAs in various insects, especially agricultural pests, may provide new ideas for pest control. However, so many difficulties stand in our way for identifying miRNAs in non-model insects, a simple and efficient method is urgently necessary.
Applying stem-loop RT-PCR in identification of highly conserved miRNAs from S. litura provides a new strategy for studying miRNAs in a more extensive field. As mentioned above, direct cloning is more appropriate for the cloning of massive miRNAs and the discovery of novel miRNAs, this powerful but blind task produces a huge workload. With the help of computer programs, researchers can make an easy prediction on miRNAs in the genomic database of model insects, and then make a direct cloning according to the predicted results. Unfortunately, this has no advantages for non-model insects. Currently, most of the studies on miRNAs of non-model insects have focused on the direct cloning of miRNAs, however, the cloned miRNAs mostly are conserved; many even have identical sequences with those in model insects. Compared with direct cloning, stem-loop RT-PCR has a clearly defined aim for cloning selected conserved miRNAs, which simplifies operation and saves cost. Meanwhile, the discovery of massive miRNAs in model insects gives us lots of resources for further study in more extensive field. When one or a few important and highly conserved miRNAs were expected to research in non-model insects, this strategy greatly improves efficiency.
3. Experimental Section
3.1. Sample Preparation
A laboratory strain of S. litura was purchased from the Entomology Institute of SUN YAT-SEN University, Guangzhou, China. Insects were routinely reared at 25 ± 1 °C and 70 ± 10% relative humidity under a 16:8 h (light:dark).
S. litura ovary cell lines SL-1 were routinely maintained at 27 °C at the laboratory. SL-1 cells were cultured in insects’ Grace medium, supplemented with 7% fetal bovine serum (FBS) (Gibco, USA), 0.3% yeast extract (Oxoid, UK) and 0.3% lactalbumin hydrolysate (Oxoid, UK). Culture medium was changed every 3 days, and subcultured SL-1 cells every 6 days.
Eight samples including eggs, larvae (selected first, third, forth, sixth instar as representatives), pre-pupae, pupae and adults were collected and stored at −80 °C for total RNA extraction. The third-instar larvae and SL-1 cells were prepared for stem-loop RT-PCR, and samples of eight stages were prepared for real-time qPCR.
3.2. Stem-Loop RT-PCR Primers Designing
Two groups of primers including stem-loop primer and corresponding PCR primers were designed based on the mature sequences of the three miRNAs in D. melanogaster (Table S1). The Group 1 primers were designed by previous reports [15], Group 2 primers haven’t reported before. The partial bases of stem-loop RT primer of three miRNAs were universal, Group 1 was: 5′-GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGAC-3′ (Table 2), Group 2 was: 5′-GCACTTCAGTGTCGTGGTCAGTGACGGCAATTTGAAGTGC-3′ (Table 3). Six bases of 3′ end of stem-loop RT primer were complementary with 3′ end of mature miRNA, and the PCR forward primer was paired with 5′ end of mature miRNA (principle in Figure 3).
Table 2.
Sequences of stem-loop RT primers, forward primers and reverse primers of Group One.
| miRNAs | Primer | Sequence (5′-3′) |
|---|---|---|
| Sli-miR-14 | RT | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACTAGGAG |
| Forward | CGGGGCTCAGTCTTTTTCT | |
| Reverse | GTGCAGGGTCCGAGGT | |
| Sli-miR-2a | RT | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACGCTCAT |
| Forward | GCCAGTATCACAGCCAGCT | |
| Reverse | GTGCAGGGTCCGAGGT | |
| Sli-bantam | RT | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACAATCAG |
| Forward | GCCCCGTGAGATCATTTTG | |
| Reverse | GTGCAGGGTCCGAGGT |
Table 3.
Sequences of stem-loop RT primers, forward primers and reverse primers of Group Two.
| miRNAs | Primer | Sequence (5′-3′) |
|---|---|---|
| Sli-miR-14 | RT | GCACTTCAGTGTCGTGGTCAGTGACGGCAATTTGAAGTGCTAGGAG |
| Forward | CGCACGACGCATCAGTCAGTCTTTTTCT | |
| Reverse | GCACTTCAGTGTCGTGGTCAGTGACGGCAATT | |
| Sli-miR-2a | RT | GCACTTCAGTGTCGTGGTCAGTGACGGCAATTTGAAGTGCGCTCAT |
| Forward | CGACACACACCATCAGTATCACAGCCAGCT | |
| Reverse | GCACTTCAGTGTCGTGGTCAGTGACGGCAATT | |
| Sli-bantam | RT | GCACTTCAGTGTCGTGGTCAGTGACGGCAATTTGAAGTGCAATCAG |
| Forward | CGCATCGTAGCATCGCTGAGATCATTTTG | |
| Reverse | GCACTTCAGTGTCGTGGTCAGTGACGGCAATT |
3.3. RNA Extraction and Reverse Transcription
The extractions of total RNA from all stages of S. litura and SL-1 cells were performed by using TRIzol kit (Invitrogen) according to the manufacturer’s instructions. cDNA was synthesized from total RNA with miRNA-specific stem-loop RT primer. Reverse transcriptase reactions contained 2 μg of RNA samples, 125 nM stem-loop RT primer, 1× RT buffer, 2.5 mM each of dNTPs (TaKaRa), 200 U·μL−1 PrimerScript Reverse Transcriptase (TaKaRa) and 40 U·μL−1 RNase Inhibitor (TaKaRa). The 11 μL reactions consisting of total RNA, stem-loop RT primer and ddH2O was first incubated for 10 min at 70 °C, 2 min for ice-bath, and other reagents were mixed together after a transient centrifugation. These 25 μL reactions were incubated in a MyCycler Thermal Cycler (Bio-Rad, Hercules, CA) for 60 min at 42 °C, 15 min at 72 °C, and then held at 4 °C.
3.4. PCR of sli-miR-14, sli-miR-2a and sli-bantam
PCR was performed in a 50 μL reaction volume containing 1 μL cDNA, 10 μM of each primer, 10× PCR buffer, 2.5 mM each of dNTPs (TaKaRa) and 5 U·μL−1 Taq DNA polymerase (TaKaRa). The condition for the PCR was 94 °C for 3 min, followed by 35 cycles of 94 °C for 30 s, 55~60 °C for 30 s, 72 °C for 30 s, and additional polymerization step at 72 °C for 10 min. Target fragments were purified from 2.5% agarose gels and ligated into the T-vector (TaKaRa) and then sequenced.
3.5. Pre-miRNA Primers Designing
Two gene fragments of S. frugiperda (FP355748.1 and FP352735.1) were found in EST Database (NCBI) by homologous searching according to the sequence of pupative sli-miR-14. Partial sequence of the two ESTs showed high similarities with pre-bmo-miR-14 and pre-dme-miR-14. Then four gene fragments of Heliothis virescens (GT205268.1, GT212851.1, GT204572.1 and GT204571.1) was found according to the two ESTs of S. frugiperda. Based on these homologous sequences, degenerate primers Pre-14F and Pre-14R were designed for cloning pre-miR-14 from S. litura. Pre-14F: TTTGTC ATGTGACTCGCGCC; Pre-14R: CGCAGCCGAATCAAATAACA.
By searching bmo-miR-2a in Silkworm Genome Database, it is noticed that there are two precursors of pre-bmo-miR-2a which localized on chromosome 1 and organized as a cluster with pre-miR-2b, pre-miR-13a and pre-miR-13b (Figure 5). Based on the conserved character of miRNA, Pre-2aF and Pre-2aR for cloning pre-miR-2a-2 were designed according to the mature sequences of miR-2b and miR-2a-1 which located at both ends of the cluster. Pre-2aF: ACTCAACAAAGCTGGCTGTGA; Pre-2aR: CACAGCCAGCTTTGATGAGC.
3.6. Genomic DNA Isolation and the Amplification of pre-miR-14 and pre-miR-2a from S. litura
Total genomic DNA was isolated from the adult of S. litura according to the instruction of E.Z.N.A. Insect DNA Kit (OMEGA, USA). The PCR reaction was performed with the following protocol: 94 °C for 3 min; followed by 35 cycles of 94 °C for 30 s, 55~65 °C for 30 s, 72 °C for 45 s, and additional polymerization step at 72 °C for 10 min. Amplified DNA was purified by 2% agarose gels, and ligated into T-vector (TaKaRa), then positive clones were sequenced.
3.7. Real-Time Quantitative PCR
The cDNAs were diluted 10 times to perform PCR for expression confirmation or qPCR for expression patterns analysis. The 25 μL reaction volume consisting of 2 μL cDNA, 12.5 μL SYBR Green (TaKaRa), 9.5 μL ddH2O, 0.5 μL of forward primer (10 μM) and 0.5 μL of reverse primer (10 μM) for each miRNAs. The reactions were performed on BIO-RAD CFX96 Real-Time PCR Detection System (Bio-Rad, Hercules, CA) following the manufacturer’s recommendations. The optimized real-time PCR program was 94 °C for 20 s, followed by 40 cycles of 95 °C for 10 s, 60 °C for 20 s, 72 °C for 10 s. After the cycling protocol, melting curves were obtained by increasing the temperature from 70 °C to 95 °C (0.4 °C/s) to denature the double-stranded DNA. PCR products were detected by electrophoresis with 3% agarose gel containing ethidium and photographed under UV light. There has not been a standard control for expression normalization for miRNAs, thus 5S rRNA as an internal control was used in this assay [19]. The forward primer was: CCAACGTCCATACCAT GTTGA, the reverse primer was: GCGGTCACCCATCCAAGTA.
Relative quantification (RQ) of miRNA expression was calculated with 2−Δ ΔCt method [29]. To experimentally determine PCR efficiency, diluted cDNAs (100, 10−1, 10−2 and 10−3) were amplified by real-time PCR. Plots were made of the log of template concentration versus the CT and the PCR efficiency was calculated from the slope of the line using the equation: E = 10−1/slope.
3.8. Sequence and Data Analysis
Sequence analysis was performed by DNASTAR 7.0. Sequence similarity for conserved domains of miRNAs was analyzed by MIRBASE, Silkworm Genome Database and BLAST programs on the National Center for Biotechnology Information (NCBI) Multiple sequence alignments of partial pri-miRNA and entire pre-miRNA among related species were performed by ClustalW2. The pre-miRNA sequence was subjected to an RNA secondary structure check using mfold program.
4. Conclusion
Three homologues of known miRNAs, miR-14, miR-2a and bantam in model insects, were cloned from S. litura by stem-loop RT-PCR, and named sli-miR-14, sli-miR-2a and sli-bantam. Pre-miR-14 and pre-miR-2a as representatives were also cloned from S. litura; both their sequences and secondary structures shared a high degree of homology with those in model insects, and the mature sequences of miR-14 and miR-2a in their precursors shared 100% identity to the results shown by stem-loop RT-PCR. Moreover, expression patterns analysis indicated that the highly conserved miRNAs, both miR-14 and miR-2a, could be detected successfully by real-time quantitative PCR, which confirms that stem-loop RT-PCR can be used not only for quantification of miRNAs, but also for identifying highly conserved miRNAs in non-model insects. All these results showed stem-loop RT-PCR is a simplified and efficient strategy for cloning highly conserved miRNAs in non-model insects, providing a new idea for further study on those highly conserved and critical miRNAs in various organisms, such as the interaction between miRNAs and their target mRNAs.
Acknowledgments
The work was supported by grants from the China National Nature Science Foundation (No. 30971944). The authors gratefully acknowledge Lloyd D. Crossman for his kind manuscript correction.
Footnotes
Conflict of Interest
The authors declare no conflict of interest.
References
- 1.Valencia-Sanchez M.A., Liu J.D., Hannon G.J., Parker R. Control of translation and mRNA degradation by miRNAs and siRNAs. Genes Dev. 2006;20:515–524. doi: 10.1101/gad.1399806. [DOI] [PubMed] [Google Scholar]
- 2.Behura S.K. Insect microRNAs: Structure, function and evolution. Insect Biochem. Mol. Biol. 2007;37:3–9. doi: 10.1016/j.ibmb.2006.10.006. [DOI] [PubMed] [Google Scholar]
- 3.Motameny S., Wolters S., Nürnberg P., Schumacher B. Next generation sequencing of miRNAs-strategies, resources and methods. Genes. 2010;1:70–84. doi: 10.3390/genes1010070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Moulton J.D., Jiang S. Gene knockdowns in adult animals: PPMOs and vivo-morpholinos. Molecules. 2009;14:1304–1323. doi: 10.3390/molecules14031304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Chira P., Vareli K., Sainis I., Papandreou C., Briasoulis E. Alterations of microRNAs in solid cancers and their prognostic value. Cancers. 2010;2:1328–1353. doi: 10.3390/cancers2021328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wienholds E., Plasterk R.H.A. MicroRNA function in animal development. FEBS Lett. 2005;579:5911–5922. doi: 10.1016/j.febslet.2005.07.070. [DOI] [PubMed] [Google Scholar]
- 7.Griffiths-Jones S., Saini H.K., van Dongen S., Enright A.J. miRBase: Tools for microRNA genomics. Nucleic Acids Res. 2008;36:D154–D158. doi: 10.1093/nar/gkm952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kim V.N., Han J.J., Siomi M.C. Biogenesis of small RNAs in animals. Nat. Rev. Mol. Cell Biol. 2009;10:126–139. doi: 10.1038/nrm2632. [DOI] [PubMed] [Google Scholar]
- 9.Zhu C., Ji C.B., Zhang C.M., Gao C.L., Zhu J., Qin D.N., Kou C.Z., Zhu G.Z., Shi C.M., Guo X.R. The lin-4 gene controls fat accumulation and longevity in Caenorhabditis elegans. Int. J. Mol. Sci. 2010;11:4814–4825. doi: 10.3390/ijms11124814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ambros V. The functions of animal microRNAs. Nature. 2004;431:350–355. doi: 10.1038/nature02871. [DOI] [PubMed] [Google Scholar]
- 11.Lagos-Quintana M., Rauhut R., Lendeckel W., Tuschl T. Identification of novel genes coding for small expressed RNAs. Science. 2001;294:853–858. doi: 10.1126/science.1064921. [DOI] [PubMed] [Google Scholar]
- 12.Xu P.Z., Vernooy S.Y., Guo M., Hay B.A. The Drosophila microRNA miR-14 suppresses cell death and is required for normal fat metabolism. Curr. Biol. 2003;13:790–795. doi: 10.1016/s0960-9822(03)00250-1. [DOI] [PubMed] [Google Scholar]
- 13.Garbuzov A., Tatar M. Hormonal regulation of Drosophila microRNA let-7 and miR-125 that target innate immunity. Fly (Austin) 2010;4:306–311. doi: 10.4161/fly.4.4.13008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Behura S.K., Whitfield C.W. Correlated expression patterns of microRNA genes with age-dependent behavioural changes in honeybee. Insect Mol. Biol. 2010;19:431–439. doi: 10.1111/j.1365-2583.2010.01010.x. [DOI] [PubMed] [Google Scholar]
- 15.Yu X.M., Zhou Q., Li S.C., Luo Q.B., Cai Y.M., Lin W.C., Chen H., Yang Y., Hu S.N., Yu J. The Silkworm (Bombyx mori) microRNAs and their expressions in multiple developmental stages. PLoS One. 2008;3 doi: 10.1371/journal.pone.0002997.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zhang Y., Zhou X., Ge X., Jiang J., Li M., Jia S., Yang X., Kan Y., Miao X., Zhao G., Li F., Huang Y. Insect-specific microRNA involved in the development of the silkworm. Bombyx mori. PLoS One. 2009;4 doi: 10.1371/journal.pone.0004677.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marco A., Hui J.H.L., Ronshaugen M., Griffiths-Jones S. Functional shifts in insect microRNA evolution. Genome Biol. Evol. 2010;2:686–696. doi: 10.1093/gbe/evq053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Mead E.A., Tu Z.J. Cloning, characterization, and expression of microRNAs from the Asian malaria mosquito. Anopheles stephensi. BMC Genomics. 2008;9 doi: 10.1186/1471-2164-9-244.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cao J., Tong C.Z., Wu X.J., Lv J.N., Yang Z.L., Jin Y.F. Identification of conserved microRNAs in Bombyx mori (silkworm) and regulation of fibroin L chain production by microRNAs in heterologous system. Insect Biochem. Mol. Biol. 2008;38:1066–1071. doi: 10.1016/j.ibmb.2008.09.008. [DOI] [PubMed] [Google Scholar]
- 20.Fu H.J., Zhu J., Yang M., Zhang Z.Y., Tie Y., Jiang H., Sun Z.X., Zheng X.F. A novel method to monitor the expression of microRNAs. Mol. Biotechnol. 2006;32:197–204. doi: 10.1385/MB:32:3:197. [DOI] [PubMed] [Google Scholar]
- 21.Chen C.F., Ridzon D.A., Broomer A.J., Zhou Z.H., Lee D.H., Nguyen J.Y., Barbisin M., Xu N.L., Mahuvakar V.R., Andersen M.R., Lao K.Q., Livak K.J., Guegler K.J. Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res. 2005;33:179–187. doi: 10.1093/nar/gni178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tang F.C., Hajkova P., Barton S.C., Lao K.Q., Surani M.A. MicroRNA expression profiling of single whole embryonic stem cells. Nucleic Acids Res. 2006;34:9–15. doi: 10.1093/nar/gnj009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Smibert P., Lai E.C. A view from Drosophila: Multiple biological functions for individual microRNAs. Semin. Cell Dev. Biol. 2010;21:745–753. doi: 10.1016/j.semcdb.2010.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.He P.A., Nie Z.M., Chen J.Q., Chen J., Lv Z.B., Sheng Q., Zhou S.P., Gao X.L., Kong L.Y., Wu X.F., Jin Y.F., Zhang Y.Z. Identification and characteristics of microRNAs from. Bombyx mori. BMC Genomics. 2008;9 doi: 10.1186/1471-2164-9-248.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Jishy V., Stephen M.C. microRNA miR-14 acts to modulate a positive autoregulatory loop Drosophila controlling steroid hormone signaling in Drosophila. Genes Dev. 2007;21:2277–2282. doi: 10.1101/gad.439807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Brennecke J., Hipfner D.R., Stark A., Russell R.B., Cohen S.M. Bantam encodes a developmentally regulated microRNA that controls cell proliferation and regulates the pro-apoptotic gene hid in Drosophila. Cell. 2003;113:25–36. doi: 10.1016/s0092-8674(03)00231-9. [DOI] [PubMed] [Google Scholar]
- 27.Stark A., Brennecke J., Russell R.B., Cohen S.M. Identification of Drosophila microRNA targets. PLoS Biol. 2003;1 doi: 10.1371/journal.pbio.0000060.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Schmittgen T.D., Jiang J.M., Liu Q., Yang L.Q. A high-throughput method to monitor the expression of microRNA precursors. Nucleic Acids Res. 2004;32 doi: 10.1093/nar/gnh040.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Livak K.J., Schmittgen T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−Δ ΔCt method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 30.Aravin A.A., Lagos-Quintana M., Yalcin A., Zavolan M., Marks D., Snyde B., Gaasterland T., Meyer J., Tuschl T. The small RNA profile during Drosophila melanogaster development. Dev. Cell. 2003;5:337–350. doi: 10.1016/s1534-5807(03)00228-4. [DOI] [PubMed] [Google Scholar]
- 31.Huang G.L., Zhang X.H., Guo G.L., Huang K.T., Yang K.Y., Shen X., You J., Hu X.Q. Clinical significance of miR-21 expression in breast cancer: SYBR-Green I-based real-time RT-PCR study of invasive ductal carcinoma. Oncol. Rep. 2009;21:673–679. [PubMed] [Google Scholar]