- Open Access
Identification of Dirofilaria immitis miRNA using illumina deep sequencing
- Yan Fu†1,
- Jingchao Lan†2,
- Xuhang Wu1,
- Deying Yang1,
- Zhihe Zhang2,
- Huaming Nie1,
- Rong Hou2,
- Runhui Zhang1,
- Wanpeng Zheng1,
- Yue Xie1,
- Ning Yan1,
- Zhi Yang2,
- Chengdong Wang2,
- Li Luo2,
- Li Liu2,
- Xiaobin Gu1,
- Shuxian Wang1,
- Xuerong Peng3 and
- Guangyou Yang1Email author
© Fu et al.; licensee BioMed Central Ltd. 2013
- Received: 16 July 2012
- Accepted: 11 January 2013
- Published: 18 January 2013
The heartworm Dirofilaria immitis is the causative agent of cardiopulmonary dirofilariosis in dogs and cats, which also infects a wide range of wild mammals and humans. The complex life cycle of D. immitis with several developmental stages in its invertebrate mosquito vectors and its vertebrate hosts indicates the importance of miRNA in growth and development, and their ability to regulate infection of mammalian hosts. This study identified the miRNA profiles of D. immitis of zoonotic significance by deep sequencing. A total of 1063 conserved miRNA candidates, including 68 anti-sense miRNA (miRNA*) sequences, were predicted by computational methods and could be grouped into 808 miRNA families. A significant bias towards family members, family abundance and sequence nucleotides was observed. Thirteen novel miRNA candidates were predicted by alignment with the Brugia malayi genome. Eleven out of 13 predicted miRNA candidates were verified by using a PCR-based method. Target genes of the novel miRNA candidates were predicted by using the heartworm transcriptome dataset. To our knowledge, this is the first report of miRNA profiles in D. immitis, which will contribute to a better understanding of the complex biology of this zoonotic filarial nematode and the molecular regulation roles of miRNA involved. Our findings may also become a useful resource for small RNA studies in other filarial parasitic nematodes.
- miRNA Target
- miRNA Family
- miRNA Precursor
- miRNA Candidate
- Target Gene Candidate
The heartworm Dirofilaria immitis, a member of the clade III of filarial parasitic nematodes, is the causative agent of cardiopulmonary dirofilariosis. It affects domestic dogs, cats and various wild mammals with increasing incidence in temperate and tropical areas[2, 3]. As mosquito-borne zoonotic pathogens, heartworms can also be transmitted to humans, where they cause pulmonary dirofilariosis, since some mosquito vectors feed indistinctly on animal reservoirs and humans. Human dirofilariosis occurs at an increasing rate and hundreds of clinical cases have been reported to date. Due to the population dynamics of humans and animal reservoirs and to climate change, the accelerated introduction of newly competent Dirofilaria vectors in non-endemic areas can increase the distribution of this zoonosis[5, 6]. To date, the most practical and effective control strategy is chemotherapy against both microfilariae and adult worms, but this still carries potential risks for severe thromboembolism and perivascular inflammation[7, 8]. While avermectin-class drugs are widely used for prevention, the American Heartworm Society estimates that 27 million dogs are untreated in the US, as described in Nematode.net. Besides, little progress has been made in the development of vaccines against D. immitis.
In recent years, the discovery of numerous small endogenous non-coding RNA (sncRNA) has aroused interest in their valuable function in both transcriptional and post-transcriptional gene regulation as well as genome stability and chromatin. According to their biogenesis and Argonaute protein binding partners, small RNA can be simply grouped into three major classes: microRNA (miRNA), small interfering RNA (siRNA), and Piwi-associated RNA (piRNA). Amongst these, miRNA (20 ~ 24 nt) have recently received special attention since they generally function in post-transcriptional gene silencing in diverse eumetazoans, acting as rheostats to make fine-scale adjustments to the protein output[12, 13]. Precursor miRNA are cleaved from the primary transcripts by Drosha and DGCR8[14–16] in the nucleus to generate a pre-miRNA containing an imperfect stem loop or “hairpin” structure of 50 ~ 80 nt, which is exported to the cytoplasm and subsequently processed by Dicer, a dsRNA-specific endonuclease to produce mature miRNA:miRNA* duplexes. As one of the two arms of the miRNA duplexes, the mature miRNA are loaded onto an RNA-induced silencing complex (RISC) containing an Argonaute protein. By contrast, the non-incorporated miRNA* is subsequently degraded. The RISC then binds imperfectly to the target sites of mRNA, predominately in the untranslated region of the target mRNA for translational repression or mRNA cleavage[18–20]. The nucleotides 2–7 of mature miRNA, known as the “seed region”, play a crucial role in miRNA target recognition.
Nematodes, one of the most divergent phyla, have adapted to all environments. Over 23 000 species out of an estimated 100 000 to 10 million species have been described. Since the first small RNA, lin-4, was identified in the nematode Caenorhabditis elegans, the combination of available reference genomes with experimental and computational approaches has boosted the discovery of abundant miRNA in this species. Recently, the availability of high throughput sequencing technology has facilitated new discoveries of species-specific or lowly expressed miRNA possible. It has greatly accelerated the establishment of small RNA repertoires of both free-living nematodes (e.g. Caenorhabditis briggsae, C. remanei and Pristionchus pacificus), and of parasitic nematodes (e.g. Ascaris suum and the plant-parasitic nematode Bursaphelenchus xylophilus)[27, 28]. One important group of parasitic nematodes is the superfamily of filaria, which belongs to the clade III nematodes. They include several pathogenic worms causing various tropical diseases both in humans and in animals of economical value. Little was known about small RNA in filarial nematodes until the description of 32 miRNA in B. malayi was achieved by adopting RNA cloning and bioinformatics approaches. Due to the ability of miRNA to respond to environmental and developmental signals, they are essential for the complex life cycle of filarial worms and are now considered as a key mechanism of gene regulation. However, these miRNA have been identified using traditional cloning and sequencing methods, which were not exhaustive, and additional filarial-specific or lowly expressed small RNA remain to be identified. Recently, the miRNA profiles of B. pahangi were detected by Illumina deep sequencing. However, little information on small RNA of D. immitis is currently available.
Here, we describe the characterization of small RNA in adult D. immitis by combining Illumina/Solexa deep-sequencing technology with computational approaches. The small RNA profile of D. immitis will provide new insight into the control of these parasites and the pathways that could lead to the identification of new potential vaccine candidates. Moreover, due to the similar morphology, life cycle and modes of transmission among filaria, our results may become a useful resource for small RNA studies in other filarial parasitic nematodes. In addition, combining the study of small RNA in parasitic nematodes with those in free-living nematodes could help improve our understanding of the evolution and function of small RNA in this fascinating animal phylum.
Live adult heartworms were collected by necropsy of an adult dog with sudden death, obtained from a veterinary hospital in Ya’an, Sichuan, China. Phosphate-buffered saline (PBS; pH 7.4; 37°C) was used five times to wash the live worms. The worms were immediately frozen in liquid nitrogen and stored at −80°C until further use.
The animal from which the specimens were collected was handled in accordance with animal protection laws of the People’s Republic of China (draft of an animal protection law in China released on September 18, 2009). The owner of the dead dog gave permission to use its tissue. This study was approved by the National Institute of Animal Health Animal Care and Use Committee at Sichuan Agricultural University, China (approval number 2010–020).
Small RNA library preparation and high-throughput sequencing
Total RNA was extracted from four mixed-sex adult whole worms using Trizol (Invitrogen, Carlsbad, California, USA) according to the manufacturer’s instructions. The total RNA were then subjected to 15% denaturing polyacrylamide gel electrophoresis, and the 18–30 nt size range of RNA was isolated from the gel and purified. Next, proprietary (Solexa) adapters were sequentially ligated to the 5′- and 3′-termini of these small RNA. The gel-purified ligation products were converted to DNA and amplified by RT-PCR with 18 PCR cycles to produce libraries that were sequenced using a Solexa sequencer at Huada Genomics Institute Co. Ltd, Shenzhen, China.
Computational methods to search conserved and novel miRNA
The adapter sequences were removed, low quality tags cleaned up and contamination formed by adapter-adapter ligation as well as reads containing poly A tails was filtered out. Afterwards, modified sequences (clean reads) from 18 nt to 30 nt were screened against the GenBank noncoding RNA database and Rfam database (version 10.0) to remove rRNA, tRNA, snRNA and snoRNA, as well as other ncRNA. Repeat overlapping sequences were annotated as repeat-associated small RNA using the tag2repeat software developed by BGI (Beijing Genome Institute, Beijing, China). After eliminating repetitive sequences, clean small RNA sequences were aligned with the miRNA precursor/mature miRNA of all animals in miRBase 17.0 to identify conserved miRNA in D. immitis. Only perfectly or near-perfectly (1–2 mismatches) matching sequences were considered as conserved miRNA. All remaining clean sequences were considered as non-annotation reads. It was not possible to confirm that the miRNA identified by screening of the MirBase are all true miRNA in D. immitis without access to a genome.
To discover the potential miRNA precursors (with hairpin structure), all clean small RNA sequences were mapped to the B. malayi genome assembly (Brugia_assembly.ghedin.fasta), which was obtained from the Sanger Institute FTP site, using SOAP (Short Oligonucleotide Alignment Program). To obtain all candidate miRNA precursors with hairpin-like structures, the Mireap algorithm was used. The parameters were set for animals to explore the secondary structure, the dicer cleavage site and the minimum free energy of the non-annotated small RNA tags that could be mapped to the genome. According to a previous study on plant miRNA, the minimal folding free energy index (MFEI) is a useful criterion for distinguishing miRNA from other types of coding or non-coding RNA, because 90% of miRNA precursors have an MFEI > 0.85, and no other RNA have an MFEI higher than 0.85 (MFEI = [MFEI/length of the RNA sequence × 100]/(G+C)%). The MFEI was calculated and potential novel heartworm miRNA candidates were further screened.
PCR verification of miRNA precursors
To verify the predicted miRNA precursors based on the experimental approaches, we extracted genomic DNA from adult D. immitis using a Gentra Puregene Tissue Kit (Qiagen, Valencia, CA, USA) according to the manufacturer’s instruction. By using Oligo 6 software, we designed primers for the predicted 13 candidate miRNA precursors based on the B. malayi genome. In addition, the four novel miRNA/miRNA* duplex sequences were also used to design primers. The details of these primers are shown in Additional file1. The PCR procedure was designed as previously described. The length of amplification products was examined by 3.5% agarose gels. Fragments (70–100 nucleotides in length) were subcloned into a pMD18-T vector (Takara, Dalian, Liaoning, China) for sequencing analysis.
Target gene prediction
To predict the targets of novel miRNA, we chose 20 810 unigene sequences from the transcriptome database of adult heartworms obtained by our lab. The unigenes have been uploaded into the Transcriptome Shotgun Assembly Sequence Database (TSA) at NCBI with the accession numbers: JR895929 - JR916738. RNAhybrid was employed as the programme for target prediction with the main parameters of –f (helix constraint) 2,8; –v (max bulge loop size) 3; –u (max internal loop size (per side)) 3[40, 41].
A gene ontology (GO) enrichment analysis was used to reveal the functions significantly related to predicted target gene candidates of novel miRNA, as well as to recognize the main biological functions of the target gene candidates. The Kyoto encyclopedia of gene and genome (KEGG) pathway database was also used for the target gene candidates to reveal the main pathways (including metabolic and signal transduction pathways) the target gene candidates are involved in.
Deep sequencing of heartworm short RNA
Identification of conserved heartworm miRNA
Sequences and abundance of top ten predicted conserved miRNA families of heartworms
Identification of novel heartworm miRNA
Experimental verification of miRNA precursors
Prediction of novel miRNA target genes
Identification of direct miRNA targets is crucial for the characterization of miRNA functions. To better understand the biological function of the newly identified miRNA in D. immitis, the putative target sites of the miRNA candidates were predicted using the described criteria and methods. However, bioinformatics predictions of target mRNA need to be further experimentally validated. Although in animals the miRNA target sites have been shown to be primarily located in the 3′ untranslated region (UTR), the existence of miRNA-binding sites in protein coding regions has also been experimentally demonstrated[51, 52]. According to these findings, we used 20 810 adult D. immitis unigenes, which were obtained by Illumina sequencing and Trinity assembling to predict miRNA targets. The thirteen novel miRNA candidates obtained 88 104 target-sites from our unigenes (Additional file5). Most of the miRNA had multiple target-sites, while some unigenes could be targeted by more than one miRNA. This phenomenon indicates that multi-functional miRNA exist in heartworms. Similarly, the expression of some genes was also regulated by multiple miRNA.
According to the GO analysis on putative target genes (see Additional files6,7,8), they appear to be involved in a wide variety of physiological processes, including molecular functions, cellular components and biological processes. The majority of the predicted targets fall into the categories of “binding”, “intracellular”, “intracellular part”, “catalytic activity”, “cellular process” and “metabolic process”. A KEGG pathway analysis was also used for the target gene candidates. In organisms, genes usually interact with each other to play different roles in certain biological functions. An analysis based on pathways could facilitate the understanding of biological functions of putative target genes. Additional file9 shows that putative target unigenes participated in many important biological pathways. Our findings here might provide some clues for further investigation of the miRNA targets.
The complex life cycle of D. immitis with several developmental stages in its invertebrate mosquito vectors and its vertebrate hosts indicates the important roles of miRNA in the growth and development of heartworms and their ability to regulate infections of mammalian hosts. Identification of the whole expression map of miRNA in D. immitis is necessary for elucidating their roles, both in the normal functioning of eukaryotic cells and also in disturbances during disease.
Only 13 novel heartworm miRNA candidates were predicted in our study. The reason for this could be the low percentage of non-annotated reads matching the B. malayi genome (27.05%). Another reason might be that the reference genome used for matching analysis was the B. malayi genome rather than that of D. immitis, which is currently not published.
Unlike the miRNA dataset of C. sinensis, we not only found 68 homologs of known miRNA* of other organisms, but also obtained four miRNA* sequences of novel miRNA in the D. immitis dataset. Amongst these novel miRNA* sequences, most had no more than 10 copies, except dim-novel*-9 with 56 copies, while the copies of conserved miRNA* sequences ranged from 1 to 700 (miR-100-3p). There are also abundant miRNA* sequences in other nematodes, including C. elegans, B. pahangi, H. contortus and B. xylophilus[28, 32, 53]. It has been demonstrated that miRNA* function has, beyond the maintenance of precursor secondary structures, measurable effects on gene regulatory networks in living animals and during the course of species evolution[54, 55]. Further investigation of these less stable sequences in D. immitis might reveal endogenous regulatory networks that miRNA* species are involved in. Interestingly, we also found several miRNA* in our dataset with much higher expression levels than their mature partners, such as dim-miR-153* (immature/mature sequence read ratio: ~2/1), dim-miR-1422i* (~39/1), dim-miR-144* (~9/1), miR-200a* (~42/1), miR-9b* (~118/1). This phenomenon has also been observed in other nematode species, which supports the arm-switching hypothesis that a number of miRNA families have undergone transition from miRNA* to mature sequences or are still in the process of switching[26, 57].
Nucleotide bias analysis showed that uracil was the most prominent nucleotide in D. immitis miRNA, particularly at the beginning and the end of the conserved miRNA, similar to miRNA of other parasites[28, 46, 58]. The second highest percentage of (G+C) was located at the beginning of seed region with 64.32%. However, the mean percentage of (G+C) at the positions 6–9 within the seed region was only 40.16%, lower than in other helminths[46, 58, 59]. It has been suggested that the positions 2–8 are the “seed region” of an miRNA, which is responsible for binding with the target genes for gene regulation. The observation of relatively low frequency of (G+C) in the “seed regions” seems inconsistent with the mechanisms of miRNA action. One explanation for this might be possible species-specific differences, such as a different or shifted “seed region” for miRNA in D. immitis compared with previously analyzed vertebrate species.
The conserved miRNA in the adult stage of D. immitis, such as miR-1, miR-71, miR-228, miR-100, let-7, miR-279 and miR-9, had very high copy numbers, suggesting that they fulfill an essential function. In comparison with miRNA of other parasites, miR-71 was expressed abundantly among nematodes (D. immitis, B. pahangi, H. contortus and B. xylophilus), trematodes (C. sinensis) and cestodes (T. saginata), indicating that it might be essential for parasite survival[28, 32, 46, 58]. Recent research suggested that miR-71 might positively influence the lifespan of worms, since it was shown to increase longevity in C. elegans. Additionally, miR-100 and let-7 had very high copy numbers in nematode species but not in trematodes or cestodes[28, 32, 46, 58, 59]. They were sometimes absent in the latter two helminth groups, indicating that they might be especially involved in the regulation of metabolism in nematodes. Previous studies demonstrated that miRNA let-7 is a critical regulator of developmental timing events at the L4-to-adult transition[62, 63], supported by the abundant expression of let-7 in most adult nematodes. The miRNA miR-48, miR-84 and miR-241, which were grouped into the family let-7 according to the identity of their seed sequences, were demonstrated to control developmental timing at the L2-to-L3 transition. However, it was surprising to find that miR-84 had a very high number of copies (15 713) unlike miR-241 with a very low expression (87 copies) or miR-48, which was absent in our dataset. The discrepancy between its high expression level in adult heartworms and its recognized function involved in larva-to-larva transition indicates that miR-84 may have multiple roles in different stages of D. immitis. Given that most of the heartworm miRNA had multiple target-sites, while some unigenes could be targeted by more than one miRNA, we suggest that miRNA regulate various aspects of development and metabolism in diverse stages of D. immitis by functioning together with different, unrelated miRNA in regulatory networks.
To estimate the validity of the predicted miRNA candidates, we employed a PCR-based method to determine their existence in the D. immitis genome based on the secondary structure characters of their precursors. All PCR products showed a high degree of homology with the corresponding fragments in the B. malayi genome, indicating that these miRNA are conserved between the two species. A previous study on plant miRNA suggested that MFIE was a sufficient criterion to distinguish miRNA from all coding and non-coding RNA with a much higher MFEI (> 0.85). Surprisingly, our PCR results demonstrated the validity of dim-novel-004, dim-novel-009 and dim-novel-010, which had a MFEI < 0.85. This observation might indicate the difference between plant and animal miRNA precursors in their minimal negative folding free energy. At least it shows that MFEI should not be used as the only criterion to designate miRNA in animals.
Identification of potential targets may be of significance in elucidating the miRNA regulatory network. Due to a lack of detailed knowledge of the interaction mechanisms between miRNA and its target transcripts, it is difficult to predict miRNA targets in animals. Most miRNA usually act upon their target genes by binding to sequences in the 3′ untranslated regions (UTR). However, little information about D. immitis 3′ UTR is available. Depending on a heartworm transcriptome dataset to predict the targets of its miRNA might find some canonical targets of miRNA, but would lead to higher false positive rates compared with a prediction using the 3′ UTR database. Therefore, more experimental evidence is needed to validate the relationships between miRNA and the putative target transcripts.
In conclusion, our findings in this study illustrated for the first time the expression profiles of miRNA in the zoonotic nematode D. immitis by Illumina deep sequencing combined with bioinformatics analysis. This study led to the discovery of a large number of miRNA in the heartworm, especially 11 verified novel miRNA candidates, despite the lack of a completely published heartworm genome. This conserved and novel miRNA resource could be used as a new platform to study gene regulation in D. immitis. We also used a computational approach to predict the targeted genes of the novel miRNA with a wide range of functions in a variety of biological processes and metabolism pathways. Further experimental investigations are necessary to analyze the functional categories suggested by our computational approach to elucidate any significant correlation between miRNA and their targets.
This work was supported by Research Fund for the Chengdu Giant Panda Breeding. Research Foundation (Project No. CPF-08005) and Changjiang Scholars and Innovative Research Team in University (PCSIRT) (Project No. IRT0848). We would like to thank the staff of Beijing Genomics Institute, Shenzhen, China for their assistance with Illumina sequencing and related bioinformatics analysis. We also wish to extend our deep thank to Ning Wang, Yinan Liang, Xuan Zhou for their technical assistance and constructive suggestions.
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