The complete mitochondrial genome of Fannia canicularis (Diptera: Fanniidae)

Abstract Fannia canicularis (Linnaeus, 1761) is a species from the family Fanniidae. In this study, we sequenced and analyzed the complete mitochondrial genome of F. canicularis for the first time. The circular mitogenome is 15,826 bp in length, and includes 13 protein-coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and a non-coding control region. The family Fanniidae formed a monophyletic clade in the phylogenetic tree based on 13 concatenated PCGs, sister to three other families in Diptera.

Fannia canicularis (little house fly) is a species of fly in the family Fanniidae; it was first named Musca canicularis by Linnaeus in 1761 and was included in the genus Fannia by Robineau-Desvoidy in 1830. The Fannia canicularis group was established by Henning in 1955, who reported four canicularis subgroups, including 47 known species (Cheng et al. 2008). The larvae of some species are known vectors of a variety of infectious diseases in animals. Some are agricultural pests that parasitize crops, whereas others can spread pollen and become beneficial insects in agriculture. Although the mitochondrial genome sequences of Diptera have rapidly increased recently (Yang et al. 2011;Palevich et al. 2021), complete mitogenomes of the genus Fannia have rarely been reported (Xie et al. 2021). In this study, we sequenced and annotated the complete mitogenome of F. canicularis for the first time, which provides evidence for exploring the evolutionary history of these fast-evolving insects from the perspective of the mitochondrial genome .
Specimens of F. canicularis were collected at the Wuhu Agricultural Ecological Park (30 42 0 35 00 N, 114 28 0 11 00 E) in Huangpi District, Wuhan City, Hubei Province, China, and were identified at species level using taxonomic keys of Lu (1982). The experimental procedures were approved by the Ethics Committee of Wuhan Center for Disease Control and Prevention (reference number: WHCDCIRB-K-2021017). The voucher specimen was deposited in 95% ethanol at À70 C at the Wuhan Academy of Agricultural Sciences (http://www. wuhanagri.com/, Mihong Ge, gemihong@wuhanagri.com) under voucher number 2020082701. Genomic DNA was extracted using the Mollusc DNA Kit D3373 (OMEGA, USA), according to the manufacturer's recommendations. The library was prepared and sequenced on an Illumina NovaSeq 6000 platform at Novogene (Tianjin, China) for paired end 150 bp sequencing. The mitogenome was assembled with MEGAHIT v1.2.6, and annotated using MITOS WebServer (Bernt et al. 2013).
To clarify the phylogenetic position of F. canicularis, we constructed a phylogenetic tree of 27 species from the order Diptera based on the concatenated sequences of the 13 PCGs. Chlorops oryzae from the family Chloropidae was used as the outgroup (Figure 1). In the phylogenetic tree, F. canicularis was present within the family Fanniidae, forming a cluster with Fannia spp. Since only two limited mitogenomes of Fannia spp. are available in GenBank, the mitochondrial genome of F. canicularis we report will contribute to the molecular identification and evolutionary research of flies.

Author contributions
This paper was conceived and designed by Junhua Tian, drafted by Mihong Ge and revised critically for intellectual content by Xianfeng Shi. Analysis of the data was conducted by Dehuan Wang, Huan Liang, and Juhong Zhu. Junhua Tian was involved in the final approval of the version to be published. All authors agree to be accountable for all aspects of the work.

Disclosure statement
No potential conflict of interest was reported by the authors.

Funding
This work was supported by Medical Youth Top Talent Project of Hubei [Grants EWT2019048]. This work was also supported by Health Commission of Hubei Province.

Data availability statement
The genome sequence data that support the findings of this study are openly available in GenBank of NCBI (https://www.ncbi.nlm.nih.gov/nuccore/OK623536) under the accession no. OK623536. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA778448, SRR16842736, and SAMN22960271, respectively.