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Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis

Lutzomyia longipalpis, a sand fly, is a vector-spreading pathogenic protozoan in the New World. MicroRNA (miRNA) is evolutionarily-conserved non-coding RNA, which plays critical roles in various biological processes. To date, the functions of most proteins in L. longipalpis are unknown, and few stud...

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Autores principales: Yang, Zhiyuan, Wu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6790103/
https://www.ncbi.nlm.nih.gov/pubmed/31616601
http://dx.doi.org/10.7717/peerj.7862
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author Yang, Zhiyuan
Wu, Ying
author_facet Yang, Zhiyuan
Wu, Ying
author_sort Yang, Zhiyuan
collection PubMed
description Lutzomyia longipalpis, a sand fly, is a vector-spreading pathogenic protozoan in the New World. MicroRNA (miRNA) is evolutionarily-conserved non-coding RNA, which plays critical roles in various biological processes. To date, the functions of most proteins in L. longipalpis are unknown, and few studies have addressed the roles of miRNAs in this species. In the present study, we re-annotated the protein-coding genes and identified several miRNAs using a set of comparative genomics tools. A large number of L. longipalpis proteins were found to be homologous with those in the mosquito genome, indicating that they may have experienced similar selective pressures. Among these proteins, a set of 19 putative salivary proteins were identified, which could be used for studying the transmission of Leishmania. Twenty-one novel miRNAs were characterized, including two miRNAs, miR-4113-5p and miR-5101, which are unique to L. longipalpis. Many of the targets of these two genes were found to be involved in ATP hydrolysis-coupled proton transport, suggesting that they may have important roles in the physiology of energy production. Topology analysis of the miRNA-gene network indicated that miR-9388-5p and miR-3871-5p regulate several critical genes in response to disease development. In conclusion, our work provides a basis for improving the genome annotation of L. longipalpis, and opens a new door to understanding the molecular regulatory mechanisms in this species.
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spelling pubmed-67901032019-10-15 Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis Yang, Zhiyuan Wu, Ying PeerJ Bioinformatics Lutzomyia longipalpis, a sand fly, is a vector-spreading pathogenic protozoan in the New World. MicroRNA (miRNA) is evolutionarily-conserved non-coding RNA, which plays critical roles in various biological processes. To date, the functions of most proteins in L. longipalpis are unknown, and few studies have addressed the roles of miRNAs in this species. In the present study, we re-annotated the protein-coding genes and identified several miRNAs using a set of comparative genomics tools. A large number of L. longipalpis proteins were found to be homologous with those in the mosquito genome, indicating that they may have experienced similar selective pressures. Among these proteins, a set of 19 putative salivary proteins were identified, which could be used for studying the transmission of Leishmania. Twenty-one novel miRNAs were characterized, including two miRNAs, miR-4113-5p and miR-5101, which are unique to L. longipalpis. Many of the targets of these two genes were found to be involved in ATP hydrolysis-coupled proton transport, suggesting that they may have important roles in the physiology of energy production. Topology analysis of the miRNA-gene network indicated that miR-9388-5p and miR-3871-5p regulate several critical genes in response to disease development. In conclusion, our work provides a basis for improving the genome annotation of L. longipalpis, and opens a new door to understanding the molecular regulatory mechanisms in this species. PeerJ Inc. 2019-10-09 /pmc/articles/PMC6790103/ /pubmed/31616601 http://dx.doi.org/10.7717/peerj.7862 Text en ©2019 Yang and Wu https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Yang, Zhiyuan
Wu, Ying
Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title_full Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title_fullStr Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title_full_unstemmed Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title_short Improved annotation of Lutzomyia longipalpis genome using bioinformatics analysis
title_sort improved annotation of lutzomyia longipalpis genome using bioinformatics analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6790103/
https://www.ncbi.nlm.nih.gov/pubmed/31616601
http://dx.doi.org/10.7717/peerj.7862
work_keys_str_mv AT yangzhiyuan improvedannotationoflutzomyialongipalpisgenomeusingbioinformaticsanalysis
AT wuying improvedannotationoflutzomyialongipalpisgenomeusingbioinformaticsanalysis