Identification and characterization of microRNAs in Biomphalaria tenagophila and comparative analysis of their expression in Schistosoma mansoni-resistant and -susceptible snail populations.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
30 Oct 2023
Historique:
received: 10 05 2023
revised: 22 08 2023
accepted: 24 08 2023
medline: 13 9 2023
pubmed: 28 8 2023
entrez: 27 8 2023
Statut: ppublish

Résumé

Schistosomiasis is a neglected tropical disease caused by Schistosoma and affects over 240 million people worldwide. One of the most prominent causative agents is Schistosoma mansoni, which develops inside the intermediate host. Biomphalaria tenagophila is the second most important vector of schistosomiasis in Brazil and the Taim population is completely resistant to infection by S. mansoni. This study aims to identify and characterize B. tenagophila microRNAs (miRNAs) and evaluate their differential expression in S. mansoni-susceptible and -resistant populations of B. tenagophila. Two populations of B. tenagophila snails, susceptible and resistant to S. mansoni infection, were used to investigate the small RNA response of these snails after being infected with the parasite. Small RNA sequencing and quantitative real-time PCR were employed to identify and validate differentially expressed miRNAs. Bioinformatics analysis were performed to identify miRNA precursors and mature and evaluate their differential expression. The study predicted 173 mature miRNAs and 123 precursors. Among them were six Lophotrochozoa-specific miRNAs, three mollusk-specific miRNAs, and six pre-miRNAs in a cluster. The small RNA sequencing and RT-PCR of B. tenagophila samples allowed assessing the expression patterns of miRNAs. The results obtained may support future studies in Biomphalaria spp., generating a global impact on disease control.

Sections du résumé

BACKGROUND BACKGROUND
Schistosomiasis is a neglected tropical disease caused by Schistosoma and affects over 240 million people worldwide. One of the most prominent causative agents is Schistosoma mansoni, which develops inside the intermediate host. Biomphalaria tenagophila is the second most important vector of schistosomiasis in Brazil and the Taim population is completely resistant to infection by S. mansoni.
OBJECTIVE OBJECTIVE
This study aims to identify and characterize B. tenagophila microRNAs (miRNAs) and evaluate their differential expression in S. mansoni-susceptible and -resistant populations of B. tenagophila.
METHODS METHODS
Two populations of B. tenagophila snails, susceptible and resistant to S. mansoni infection, were used to investigate the small RNA response of these snails after being infected with the parasite. Small RNA sequencing and quantitative real-time PCR were employed to identify and validate differentially expressed miRNAs. Bioinformatics analysis were performed to identify miRNA precursors and mature and evaluate their differential expression.
FINDINGS RESULTS
The study predicted 173 mature miRNAs and 123 precursors. Among them were six Lophotrochozoa-specific miRNAs, three mollusk-specific miRNAs, and six pre-miRNAs in a cluster. The small RNA sequencing and RT-PCR of B. tenagophila samples allowed assessing the expression patterns of miRNAs.
MAIN CONCLUSIONS CONCLUSIONS
The results obtained may support future studies in Biomphalaria spp., generating a global impact on disease control.

Identifiants

pubmed: 37634882
pii: S0378-1119(23)00583-8
doi: 10.1016/j.gene.2023.147742
pii:
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

147742

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Tamires Caixeta Alves (TC)

Bioinformatics and Molecular Analysis Laboratory, Federal University of Uberlândia, Patos de Minas, MG, Brazil.

Fábio Ribeiro Queiroz (FR)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Angelo Borges de Melo Neto (AB)

Bioinformatics and Molecular Analysis Laboratory, Federal University of Uberlândia, Patos de Minas, MG, Brazil.

Gabriel da Rocha Fernandes (G)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Fabiano Sviatopolk-Mirsky Pais (FS)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Wander de Jesus Jeremias (W)

Department of Pharmacy, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.

Elio Hideo Babá (EH)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Marina de Moraes Mourão (M)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Enyara Rezende Morais (ER)

Bioinformatics and Molecular Analysis Laboratory, Federal University of Uberlândia, Patos de Minas, MG, Brazil.

Fernanda Janku Cabral (FJ)

State University of Campinas, Campinas, SP, Brazil.

Laurence Rodrigues do Amaral (LR)

Bioinformatics and Molecular Analysis Laboratory, Federal University of Uberlândia, Patos de Minas, MG, Brazil.

Roberta Lima Caldeira (RL)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Paulo Marcos Zech Coelho (PM)

René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, Brazil.

Matheus de Souza Gomes (M)

Bioinformatics and Molecular Analysis Laboratory, Federal University of Uberlândia, Patos de Minas, MG, Brazil. Electronic address: matheusgomes@ufu.br.

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