| Literature DB >> 30682075 |
Carolina Valença-Barbosa1, Teresa Cristina Bergamo do Bomfim2, Bernardo Rodrigues Teixeira3, Rosana Gentile3, Sócrates Fraga da Costa Neto3, Bárbara Souza Neil Magalhães4, Daniel de Almeida Balthazar4, Fabio Alves da Silva5, Renata Biot6, Claudia Masini d'Avila Levy1, Helena Lúcia Carneiro Santos1.
Abstract
The enteric protist Blastocystis is one of the most frequently reported parasites infecting both humans and many other animal hosts worldwide. A remarkable genetic diversity has been observed in the species, with 17 different subtypes (STs) on a molecular phylogeny based on small subunit RNA genes (SSU rDNA). Nonetheless, information regarding its distribution, diversity and zoonotic potential remains still scarce, especially in groups other than primates. In Brazil, only a few surveys limited to human isolates have so far been conducted on Blastocystis STs. The aim of this study is to determine the occurrence of Blastocystis subtypes in non-human vertebrate and invertebrate animal groups in different areas of the state of Rio de Janeiro, Brazil. A total of 334 stool samples were collected from animals representing 28 different genera. Blastocystis cultivated samples were subtyped using nuclear small subunit ribosomal DNA (SSU rDNA) sequencing. Phylogenetic analyses and BLAST searches revealed six subtypes: ST5 (28.8%), ST2 (21.1%), ST1 and ST8 (19.2%), ST3 (7.7%) and ST4 (3.8%). Our findings indicate a considerable overlap between STs in humans and other animals. This highlights the importance of investigating a range of hosts for Blastocystis to understand the eco-epidemiological aspects of the parasite and its host specificity.Entities:
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Year: 2019 PMID: 30682075 PMCID: PMC6347289 DOI: 10.1371/journal.pone.0210740
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Geographical location of the 11 localities where stool samples from animals were collected.
Blastocystis positive samples and subtypes identified from vertebrates and invertebrates.
| Host group | Location | Scientific name | N° | Pos | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| ST1 | ST2 | ST3 | ST4 | ST5 | ST8 | |||||
| ZOO | 3 | 0 | - | - | - | - | - | - | ||
| 1 | 0 | - | - | - | - | - | - | |||
| 1 | 1 | - | - | - | - | - | 1 | |||
| 2 | 0 | - | - | - | - | - | ||||
| 2 | 0 | - | - | - | - | - | - | |||
| 2 | 1 | - | - | - | - | - | 1 | |||
| 6 | 0 | - | - | - | - | - | - | |||
| 3 | 1 | - | - | 1 | - | - | - | |||
| 1 | 1 | - | 1 | - | - | - | - | |||
| 2 | 1 | - | - | - | - | - | 1 | |||
| 2 | 1 | 1 | - | - | - | - | - | |||
| 4 | 2 | 1 | - | - | - | - | 1 | |||
| ICTB | 30 | 18 | - | 9 | 1 | - | - | 2 | ||
| 10 | 0 | - | - | - | - | - | - | |||
| 20 | 7 | - | 1 | 1 | - | - | - | |||
| ZOO | 2 | 0 | - | - | - | - | - | - | ||
| CFMA | 1 | 1 | - | - | - | - | - | - | ||
| 1 | 1 | - | - | 1 | - | - | - | |||
| Rio Claro | 1 | 0 | - | - | - | - | - | - | ||
| 2 | 2 | - | - | - | - | - | - | |||
| 1 | 0 | - | - | - | - | - | - | |||
| 1 | 1 | - | - | - | - | - | - | |||
| SUMID | 2 | 2 | - | - | - | - | - | 1 | ||
| PEST | 1 | 0 | - | - | - | - | - | - | ||
| 1 | 0 | - | - | - | - | - | - | |||
| CFMA | 1 | 1 | 1 | - | - | - | - | - | ||
| 10 | 9 | 3 | - | - | - | - | 1 | |||
| PEPB | 7 | 3 | - | - | - | - | - | - | ||
| Rio Claro | 8 | 8 | - | - | - | - | - | - | ||
| SUMID | 1 | 1 | - | - | - | - | - | 1 | ||
| NIT | 12 | 1 | - | - | - | - | 1 | - | ||
| 4 | 1 | - | - | - | - | - | - | |||
| ZOO | 40 | 9 | - | - | - | - | - | - | ||
| SPS | 1 | 1 | 1 | - | - | - | - | - | ||
| SG | 27 | 22 | - | - | - | - | 12 | 1 | ||
| SPS | 12 | 8 | 3 | - | - | 1 | 2 | - | ||
| NIT | 60 | 2 | - | - | - | 1 | - | - | ||
| RJ | 36 | 0 | - | - | - | - | - | - | ||
| ZOO | 13 | 9 | - | - | - | - | - | - | ||
| 334 | 115 | 10 | 11 | 4 | 2 | 15 | 10 | |||
N°= number; Pos=Positive
Fig 2Maximum likelihood (ML) and Bayesian inference reconstruction tree of Blastocystis based on SSU-rDNA gene using sequences obtained in the study and Genbank retrieved.
The first number associated with each node represents the ML bootstrap value (values below 50% were not shown) followed by the Bayesian posterior probabilities. The scale bars indicate the expected number of substitutions per site.