Evidence map›Paper›PMID 29037251›Full record

ArticleParasites & vectors2017

Cytochrome c oxidase subunit 1 gene as a DNA barcode for discriminating Trypanosoma cruzi DTUs and closely related species.

Marina Silva Rodrigues, Karina Alessandra Morelli, Ana Maria Jansen

Abstract read
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Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

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25citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  14. Evaluating Atlantic Salmon (Pathogens (Basel, Switzerland) · 2024
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marina Silva RodriguesLaboratory of Trypanosomatid Biology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil. marina.rodrigues@ioc.fiocruz.br.
Karina Alessandra MorelliDepartment of Ecology, Institute of Biology Roberto Alcantara Gomes, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Ana Maria JansenLaboratory of Trypanosomatid Biology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe DNA barcoding system using the cytochrome c oxidase subunit 1 mitochondrial gene (cox1 or COI) is highly efficient for discriminating vertebrate and invertebrate species. In the present study, we examined the suitability of cox1 as a marker for Trypanosoma cruzi identification from other closely related species. Additionally, we combined the sequences of cox1 and the nuclear gene glucose-6-phosphate isomerase (GPI) to evaluate the occurrence of mitochondrial introgression and the presence of hybrid genotypes.

methodsSixty-two isolates of Trypanosoma spp. obtained from five of the six Brazilian biomes (Amazon Forest, Atlantic Forest, Caatinga, Cerrado and Pantanal) were sequenced for cox1 and GPI gene fragments. Phylogenetic trees were reconstructed using neighbor-joining, maximum likelihood, parsimony and Bayesian inference methods. Molecular species delimitation was evaluated through pairwise intraspecific and interspecific distances, Automatic Barcode Gap Discovery, single-rate Poisson Tree Processes and multi-rate Poisson Tree Processes.

resultsBoth cox1 and GPI genes recognized and differentiated T. cruzi, Trypanosoma cruzi marinkellei, Trypanosoma dionisii and Trypanosoma rangeli. Cox1 discriminated Tcbat, TcI, TcII, TcIII and TcIV. Additionally, TcV and TcVI were identified as a single group. Cox1 also demonstrated diversity in the discrete typing units (DTUs) TcI, TcII and TcIII and in T. c. marinkellei and T. rangeli. Cox1 and GPI demonstrated TcI and TcII as the most genetically distant branches, and the position of the other T. cruzi DTUs differed according to the molecular marker. The tree reconstructed with concatenated cox1 and GPI sequences confirmed the separation of the subgenus Trypanosoma (Schizotrypanum) sp. and the T. cruzi DTUs TcI, TcII, TcIII and TcIV. The evaluation of single nucleotide polymorphisms (SNPs) was informative for DTU differentiation using both genes. In the cox1 analysis, one SNP differentiated heterozygous hybrids from TcIV sequences. In the GPI analysis one SNP discriminated Tcbat from TcI, while another SNP distinguished TcI from TcIII.

conclusionsDNA barcoding using the cox1 gene is a reliable tool to distinguish T. cruzi from T. c. marinkellei, T. dionisii and T. rangeli and identify the main T. cruzi genotypes.

Indexed as

DNA Barcoding, TaxonomicBrazilChagas DiseaseDNA, ProtozoanElectron Transport Complex IVGenotypeGlucose-6-Phosphate IsomeraseHumansMitochondrial ProteinsTrypanosomaTrypanosoma cruziTrypanosoma rangeliDNA, ProtozoanElectron Transport Complex IVGlucose-6-Phosphate IsomeraseMitochondrial ProteinsBarcodingCytochrome c oxidase subunit 1Discrete typing unitsGlucose-6-phosphate isomeraseSubgenus Trypanosoma (Schizotrypanum)Trypanosoma cruzi

Identifiers

PMID29037251
PMCPMC5644147

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.