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Characterization of the complete mitochondrial genome of Setaria digitata (Nematoda: Setariidae) from China

Published online by Cambridge University Press:  19 January 2017

G.-H. Liu ,
J.-Y. Li  and
X.-Q. Zhu
G.-H. Liu
Affiliation:
College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan Province 410128, China State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province 730046, China
J.-Y. Li
Affiliation:
State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province 730046, China
X.-Q. Zhu*
Affiliation:
College of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan Province 410128, China State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province 730046, China
*
*Fax: +86 931 8340977 E-mail: xingquanzhu1@hotmail.com
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Abstract

Setaria digitata is a filarial parasite that causes fatal cerebrospinal nematodiasis in goats, horses and sheep, resulting in substantial economic losses to livestock farmers. In the present study, the complete mitochondrial (mt) genome of S. digitata from China was determined, characterized and compared with that of S. digitata from Sri Lanka. The identity of the mt genomes was 98.3% between S. digitata from China and Sri Lanka, and the complete mt genome sequence of S. digitata from China was slightly shorter (25 bp) than that from Sri Lanka. For the 12 protein genes, this comparison revealed sequence differences at both the nucleotide (1.4%) and amino acid (2.2%) levels. The present study determined the complete mt genome sequence of S. digitata from China, providing novel genetic markers for the study of the population genetics and molecular epidemiology of S. digitata in animals.

Type
Short Communications
Information
Journal of Helminthology , Volume 91 , Issue 6 , November 2017 , pp. 772 - 776
Copyright
Copyright © Cambridge University Press 2017 

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