Journal
INTERNATIONAL JOURNAL FOR PARASITOLOGY
Volume 44, Issue 14, Pages 1073-1080Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijpara.2014.08.010
Keywords
Trichinella/trichinellosis; Deep sequencing; Bioinformatics; Mitochondrial genome; Genetic relationships; Systematics; Population genetics; Epidemiology
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Funding
- Australian Research Council (ARC)
- National Health and Medical Research Council (NHMRC) of Australia
- DG SANCO of the European Commission
- Victorian Life Sciences Computation Initiative (VLSCI) [VR0007]
- Australian Academy of Science
- Alexander von Humboldt Foundation, Germany
- Melbourne Water Corporation, Australia
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In the present study we sequenced or re-sequenced, assembled and annotated 15 mitochondrial genomes representing the 12 currently recognised taxa of Trichinella using a deep sequencing-coupled approach. We then defined and compared the gene order in individual mitochondrial genomes (similar to 14 to 17.7 kb), evaluated genetic differences among species/genotypes and re-assessed the relationships among these taxa using the mitochondrial nucleic acid or amino acid sequence data sets. In addition, a rich source of mitochondrial genetic markers was defined that could be used in future systematic, epidemiological and population genetic studies of Trichinella. The sequencing-bioinformatic approach employed herein should be applicable to a wide range of eukaryotic parasites. (C) 2014 Australian Society for Parasitology Inc. Published by Elsevier Ltd. All rights reserved.
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