Parasites & Vectors (Jun 2021)

Comparison of mitochondrial genome and development of specific PCR primers for identifying two scuticociliates, Pseudocohnilembus persalinus and Uronema marinum

  • Yu-Xi Huang,
  • Sen Wang,
  • Yan-Qi Gao,
  • Jie-Hu Chen,
  • Xiu-Li Wang,
  • Rui-Jun Li

DOI
https://doi.org/10.1186/s13071-021-04821-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

Read online

Abstract Background Pseudocohnilembus persalinus and Uronema marinum (Ciliophora, Scuticociliatia), as parasitic scuticociliatid ciliates, were isolated from Scophthalmus maximus and Takifugu rubripes, respectively, in our previous studies. These ciliates are morphologically very similar; hence, it is difficult to identify specific scuticociliate species using traditional classification methods for performing taxonomic research and disease control studies. Methods We annotated the mitochondrial genomes of these two scuticociliates on the basis of previous sequencing, including analyses of nucleotide composition, codon usage, Ka/Ks, and p-distance. We also compared the nucleotide and amino acid similarity of the mitochondrial genomes of P. persalinus, U. marinum, and other 12 related ciliates, and a phylogenetic tree was constructed using 16 common genes. We chose the nad4 and nad7 genes to design specific PCR primers for identification. Results P. persalinus and U. marinum were found to have a close evolutionary relationship. Although codon preferences were similar, differences were observed in the usage of codons such as CGA, CGC, and GTC. Both Ka/Ks and p-distance were less than 1. Except for yejR, ymf57, ymf67, and ymf75, the amino acid sequence similarity between P. persalinus and U. marinum was greater than 50%. Conclusions The mitochondrial genomes of P. persalinus and U. marinum were thoroughly compared to provide a reference for disease prevention and control. The specific PCR primers enabled us to identify P. persalinus and U. marinum rapidly and accurately at the molecular level, thus providing a basis for classification and identification. Graphic abstract

Keywords