Affiliation:
1. Dali University
2. Nanchang University Queen Mary School
3. Sichuan University
4. Yunnan Institute of Endemic Diseases Controland Prevention
Abstract
Abstract
In wild animals, trematodes can result adversely impact the health and survival. Cyclocoelidae Stossich, large digenean bird parasites, lacks of molecular analysis that reclassifications have not been supported. This study produced the first fully determined and annotated mitochondrial genome sequence for the trematode Morishitium polonicum. The whole length of the M. polonicum (GenBank accession number: OP930879) mitogenome is 14083 bp, containing 22 transfer ribonucleic acids (tRNAs), 2 ribosomal RNAs (rRNAs, rrnL and rrnS), and a non-coding control section (D-loop) 13777 to 13854 bp in length. The 12 PCGs area has 3269 codons and a total length of 10053 bp, which making up 71.38% of the mitochondrial genome’s overall sequence. Most (10/12) of the PCGs that code for proteins began with ATG, while the nad4L and nad1 genes had a GTG start codon. Phylogenetic analysis using the concatenated nucleotide sequences of 12 PCGs, and the ML tree analysis results showed that M. polonicum is more closely related to with Echinostomatidae and Fasciolidae, which indicates that the family Cyclocoelidae is more closely associated with these Echinochasmidae. This study will provide mtDNA information, increasing analysis of mitogenomic structure and evolution. Moreover, understand the phylogenetic relationship of the fluke.
Publisher
Research Square Platform LLC
Reference39 articles.
1. Epidemiology of Trematode Infections: An Update;Chai JY;Adv Exp Med Biol,2019
2. Highly Pathogenic Avian Influenza Viruses at the Wild-Domestic Bird Interface in Europe: Future Directions for Research and Surveillance;Verhagen JH;Viruses,2021
3. Studies on intestinal trematodes in Korea XX. Four cases of natural human infection by Echinochasmus japonicus;Seo BS;Kisaengchunghak Chapchi,1985
4. Echinostoma revolutum infection in children, Pursat Province, Cambodia;Sohn WM;Emerg Infect Dis,2011
5. Wardeh, M., K.J. Sharkey and M. Baylis, Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirs. Proc Biol Sci, 2020. 287(1920): p. 20192882.