The complete mitochondrial genome of Phthiridium szechuanum (Nycteribiidae, Diptera)

Abstract

Phthiridium szechuanum is a bat surface parasite under the family Nycteribiidae that prefers to roost in the hair of bats to feed on their blood. In this study, the complete mitochondrial genome of P. szechuanum was studied for the first time using Illumina sequencing technology. The mitochondrial genome was 14,896 bp in size and was predicted to encode 37 genes including 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. Phylogenetic trees were constructed using the IQ-TREE web server and phylogenetic analysis was performed using the maximum likelihood method, and P. szechuanum was found to be phylogenetically closest to Basilia ansifera. These data will provide a molecular biological approach to the species identification of P. szechuanum and provide a new reference for further studies on the population genetics and phylogeny of the family Nycteribiidae.

Keywords:

• Mitochondrial genome
• Nycteribiidae
• Phthiridium szechuanum
• phylogeny

Author contributions

Xianzheng Zhang, Xiaobin Huang, and Yujuan Wang planned and co-designed this research. Xianzheng Zhang performed the experiments, Huijuan Yang and Jinting Yang analyzed the data, Huijuan Yang and Xiaoyan Zheng constructed the phylogenetic tree. Xianzheng Zhang wrote the manuscript, Xiaobin Huang revised the manuscript. All authors have approved the manuscript for publication and agreed to be accountable for all aspects of the work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/) under accession nos. OP459298. The associated Bio Project, BioSample, and SRA experiment numbers are PRJNA883607, SAMN30974214, and SRR21749916, respectively.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [Grant No. 32001096] and the Science and Technology Plan Project of Yunnan Provincial Science and Technology Department [Grant No. 202101AU070056].