Genome sequence of a <i>Trypanosoma evansi</i> isolate from a dog in Uruguay

affects domestic and wild animals and is transmitted by blood-sucking insects. Among African trypanosomes, it has the widest global distribution, spanning Africa, Asia, and South America. Here, we report the genome assembly of the first isolate from Uruguay, obtained from a naturally infected dog.

Authors

Institutions

Publication Details

Journal
Microbiology Resource Announcements
Published
2026-07-01
DOI
https://doi.org/10.1128/mra.00568-26
Primary Topic
Trypanosoma species research and implications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome sequence of a Trypanosoma evansi isolate from a dog in Uruguay

Gonzalo Greif, Carlos Robello, María Ximena Simón
Microbiology Resource Announcements
Trypanosoma species research and implications
article

Genome sequence of a Trypanosoma evansi isolate from a dog in Uruguay

Gonzalo Greif, Carlos Robello, María Ximena Simón
article en

Abstract

affects domestic and wild animals and is transmitted by blood-sucking insects. Among African trypanosomes, it has the widest global distribution, spanning Africa, Asia, and South America. Here, we report the genome assembly of the first isolate from Uruguay, obtained from a naturally infected dog.

Microbiology Resource Announcements
Universidad de la República de Uruguay (UY), Institut Pasteur de Montevideo (UY)
Agencia Nacional de Investigación e Innovación
Openalex Percentile: Top 7%
Trypanosoma species research and implications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.