Mitochondrial genomes of Trichinella species and genotypes – a basis for diagnosis, and systematic and epidemiological explorations
Abstract
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 (∼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.
Additional Information
© 2014 Published by Elsevier Ltd. on behalf of Australian Society for Parasitology Inc. Received 24 June 2014; Received in revised form 8 August 2014; Accepted 11 August 2014; Available online 21 September 2014. This project was funded through the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) of Australia (R.B.G. et al.) and DG SANCO of the European Commission; it was also supported by a Victorian Life Sciences Computation Initiative (VLSCI) grant number VR0007 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia. Other support from the Australian Academy of Science, Alexander von Humboldt Foundation, Germany, and Melbourne Water Corporation, Australia, is gratefully acknowledged. PWS is an Investigator with the Howard Hughes Medical Institute, USA. N.D.Y. is an NHMRC Early Career Research Fellow (ECRF).Attached Files
Supplemental Material - mmc1.xlsx
Supplemental Material - mmc2.xlsx
Supplemental Material - mmc3.xlsx
Supplemental Material - mmc4.xlsx
Supplemental Material - mmc5.xlsx
Files
Additional details
- Eprint ID
- 50097
- DOI
- 10.1016/j.ijpara.2014.08.010
- Resolver ID
- CaltechAUTHORS:20140929-115146927
- Australian Research Council (ARC)
- National Health and Medical Research Council (NHMRC) of Australia
- European Commission DG SANCO
- Victorian Life Sciences Computation Initiative (VLSCI)
- VR0007
- Australian Academy of Science
- Alexander von Humboldt Foundation
- Melbourne Water Corporation, Australia
- Howard Hughes Medical Institute (HHMI)
- Created
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2014-09-29Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field