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Identification of Dirofilaria immitis miRNA using illumina deep sequencing
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 host...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598945/ https://www.ncbi.nlm.nih.gov/pubmed/23331513 http://dx.doi.org/10.1186/1297-9716-44-3 |
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author | Fu, Yan Lan, Jingchao Wu, Xuhang Yang, Deying Zhang, Zhihe Nie, Huaming Hou, Rong Zhang, Runhui Zheng, Wanpeng Xie, Yue Yan, Ning Yang, Zhi Wang, Chengdong Luo, Li Liu, Li Gu, Xiaobin Wang, Shuxian Peng, Xuerong Yang, Guangyou |
author_facet | Fu, Yan Lan, Jingchao Wu, Xuhang Yang, Deying Zhang, Zhihe Nie, Huaming Hou, Rong Zhang, Runhui Zheng, Wanpeng Xie, Yue Yan, Ning Yang, Zhi Wang, Chengdong Luo, Li Liu, Li Gu, Xiaobin Wang, Shuxian Peng, Xuerong Yang, Guangyou |
author_sort | Fu, Yan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3598945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35989452013-03-17 Identification of Dirofilaria immitis miRNA using illumina deep sequencing Fu, Yan Lan, Jingchao Wu, Xuhang Yang, Deying Zhang, Zhihe Nie, Huaming Hou, Rong Zhang, Runhui Zheng, Wanpeng Xie, Yue Yan, Ning Yang, Zhi Wang, Chengdong Luo, Li Liu, Li Gu, Xiaobin Wang, Shuxian Peng, Xuerong Yang, Guangyou Vet Res Research 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. BioMed Central 2013 2013-01-18 /pmc/articles/PMC3598945/ /pubmed/23331513 http://dx.doi.org/10.1186/1297-9716-44-3 Text en Copyright ©2013 Fu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Fu, Yan Lan, Jingchao Wu, Xuhang Yang, Deying Zhang, Zhihe Nie, Huaming Hou, Rong Zhang, Runhui Zheng, Wanpeng Xie, Yue Yan, Ning Yang, Zhi Wang, Chengdong Luo, Li Liu, Li Gu, Xiaobin Wang, Shuxian Peng, Xuerong Yang, Guangyou Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title | Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title_full | Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title_fullStr | Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title_full_unstemmed | Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title_short | Identification of Dirofilaria immitis miRNA using illumina deep sequencing |
title_sort | identification of dirofilaria immitis mirna using illumina deep sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3598945/ https://www.ncbi.nlm.nih.gov/pubmed/23331513 http://dx.doi.org/10.1186/1297-9716-44-3 |
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