Complete Mitochondrial Genome of Piophila casei (Diptera: Piophilidae): Genome Description and Phylogenetic Implications

Genes (Basel). 2023 Apr 8;14(4):883. doi: 10.3390/genes14040883.

Abstract

Piophila casei is a flesh-feeding Diptera insect that adversely affects foodstuffs, such as dry-cured ham and cheese, and decaying human and animal carcasses. However, the unknown mitochondrial genome of P. casei can provide information on its genetic structure and phylogenetic position, which is of great significance to the research on its prevention and control. Therefore, we sequenced, annotated, and analyzed the previously unknown complete mitochondrial genome of P. casei. The complete mt genome of P. casei is a typical circular DNA, 15,785 bp in length, with a high A + T content of 76.6%. It contains 13 protein-coding genes (PCG), 2 ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and 1 control region. Phylogenetic analysis of 25 Diptera species was conducted using Bayesian and maximum likelihood methods, and their divergence times were inferred. The comparison of the mt genomes from two morphologically similar insects P. casei and Piophila megastigmata indicates a divergence time of 7.28 MYA between these species. The study provides a reference for understanding the forensic medicine, taxonomy, and genetics of P. casei.

Keywords: Piophilidae; comparative analyses; mitochondrial DNA; phylogenetic analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bayes Theorem
  • Diptera* / genetics
  • Genome, Mitochondrial* / genetics
  • Humans
  • Insecta / genetics
  • Phylogeny

Grants and funding

This research was supported by the National Natural Science Foundation of China (No. 32060554), Guizhou Science and Technology Innovation Talent Team of Ecological Characteristic Meat Products (QKHPTRC [2020] 5004), the Natural Science Special Project of Guizhou University (Special post, [2020]-02), and the Guizhou High-Level Innovative Talent Training Project (Qianke Cooperation Platform Talent number [2016] 5662).