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3100-12-31
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IDENTIFICATION AND CHARACTERIZATION OF MICRORNAS IN BIOMPHALARIA TENAGOPHILA AND COMPARATIVE ANALYSIS OF THEIR EXPRESSION IN SCHISTOSOMA MANSONI-RESISTANT AND -SUSCEPTIBLE SNAIL POPULATIONS
Author
Alves, Tamires Caixeta
Queiroz, Fabio Ribeiro
Melo Neto, Angelo Borges de
Fernandes, Gabriel da Rocha
Pais, Fabiano Sviatopolk Mirsky
Jeremias, Wander de Jesus
Baba, Elio Hideo
Mourao, Marina de Moraes
Morais, Enyara Rezende
Cabral, Fernanda Janku
Amaral, Laurence Rodrigues do
Caldeira, Roberta Lima
Coelho, Paulo Marcos Zech
Gomes, Matheus de Souza
Queiroz, Fabio Ribeiro
Melo Neto, Angelo Borges de
Fernandes, Gabriel da Rocha
Pais, Fabiano Sviatopolk Mirsky
Jeremias, Wander de Jesus
Baba, Elio Hideo
Mourao, Marina de Moraes
Morais, Enyara Rezende
Cabral, Fernanda Janku
Amaral, Laurence Rodrigues do
Caldeira, Roberta Lima
Coelho, Paulo Marcos Zech
Gomes, Matheus de Souza
Affilliation
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Department of Pharmacy. Federal University of Ouro Preto. Ouro Preto, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
State University of Campinas. Campinas, SP, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Department of Pharmacy. Federal University of Ouro Preto. Ouro Preto, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
State University of Campinas. Campinas, SP, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil
Bioinformatics and Molecular Analysis Laboratory. Federal University of Uberlandia. Patos de Minas, MG, Brazil
Abstract
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: 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: 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. Bio-informatics analysis were performed to identify miRNA precursors and mature and evaluate their differential expression.
Findings: 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: The results obtained may support future studies in Biomphalaria spp., generating a global impact on disease control.
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