Skip to main content
Log in

Characterization of complete mitochondrial genome of three Horse flies of the genus Tabanus (Diptera: Tabanidae): comparative analysis

  • Original Article
  • Published:
Molecular Biology Reports Aims and scope Submit manuscript

Abstract

Background

Tabanidae (Horse-Flies or Deer-Flies) are one of the most economically important as well as medically significant haematophagous insect family within the order Diptera. Members of this group are also responsible for the mortality of substantial number of live-stock every year. Due to their pathogen transmission potential and vector competencies makes them an important insect group to study. Till now, mitochondrial genome of 18 species of tabanids were available.

Methods and results

The complete mitogenome of three species T. diversifrons (15,809 bp), T. rubidus (15,878 bp) and T. tenens (15,872 bp) were generated by Next generation sequencing method. They consist 37 genes, with a positive AT skew and a negative GC skew. The gene order of these three species is similar to the typical gene arrangement of infra-order Tabanomorpha. Most of the tRNAs showed typical clover-leaf secondary structure except trnS1, which lacks the DHU arm. The sliding window analysis showed that the nad4L is the most conserved while atp8, and nad6 are the most variable genes. Moreover, the ratios of non-synonymous to synonymous substitution rates indicated that all PCGs under the purifying selection. Phylogeny revealed Chrysops and Haematopota are monophyletic while species of Hybomitra are nested within the polyphyletic clade of Tabanus. T. diversifrons exhibits sister relationship with Atylotus miser. Two morphologically divergent species T. rubidus and T. tenens are found to be genetically similar and indistinguishable by mitochondrial genome.

Conclusions

The hypervariable genes like atp8 and nad6 can be used as molecular markers for the identification of recently diverged lineages of family Tabanidae. Further, to address uncertainties arising from the two morphological divergent species, it is imperative to obtain data from nuclear gene markers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The data that support the findings of this study are openly available in NCBI at https://www.ncbi.nlm.nih.gov, reference number OR288564, OR288565, OR288566.

References

  1. Pape T, Evenhuis NL (2013) Family Tabanidae. Systema Dipterorum. https://doi.org/10.3897/BDJ.3.e4187

    Article  Google Scholar 

  2. Maity A et al (2016) An annotated checklist of Horseflies (Diptera: Tabanidae) from India with remarks on Surra disease vectors. J Zool Stud 3:53–84

    Google Scholar 

  3. Mullens BA (2019) Chapter 16—Horse flies and deer flies (Tabanidae). In: Mullen GR, Durden LA (eds) Medical and veterinary entomology, 3rd edn. Academic Press, New York, pp 327–343. https://doi.org/10.1016/B978-0-12-814043-7.00016-9

    Chapter  Google Scholar 

  4. Foil LD (1989) Tabanids as vectors of disease agents. Parasitol Today 5(3):88–96. https://doi.org/10.1016/0169-4758(89)90009-4

    Article  CAS  PubMed  Google Scholar 

  5. Baldacchino F et al (2014) Tabanids: Neglected subjects of research, but important vectors of disease agents! Infect Genet Evol 28:596–615. https://doi.org/10.1016/j.meegid.2014.03.029

    Article  PubMed  Google Scholar 

  6. Burger JF, Thompson FC (1981) The Tabanus striatus complex (Diptera: Tabanidae): a revision of some oriental horse fly vectors of surra. In: Proceedings of the Entomological Society of Washington

  7. Tyagi K et al (2017) DNA Barcoding studies on Thrips in India: cryptic species and species complexes. Sci Rep 7(1):4898. https://doi.org/10.1038/s41598-017-05112-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Shashank PR et al (2022) DNA barcoding of insects from India: current status and future perspectives. Mol Biol Rep 49(11):10617–10626. https://doi.org/10.1007/s11033-022-07628-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kumar V et al (2019) The first complete mitochondrial genome of marigold pest thrips, Neohydatothrips samayunkur (Sericothripinae) and comparative analysis. Sci Rep 9(1):191. https://doi.org/10.1038/s41598-018-37889-6

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Banerjee D et al (2015) Identification through DNA barcoding of Tabanidae (Diptera) vectors of surra disease in India. Acta Trop 150:52–58. https://doi.org/10.1016/j.actatropica.2015.06.023

    Article  PubMed  Google Scholar 

  11. Maity A et al (2017) Taxonomic accounts of horse flies (Diptera: Tabanidae) from arid zone, part of Chotanagpur Plateau, West Bengal. Munis Entomol Zool 12(2):419–429

    Google Scholar 

  12. Patel RK, Jain M (2012) NGS QC Toolkit: a toolkit for quality control of next generation sequencing data. PLoS ONE 7(2):e30619. https://doi.org/10.1371/journal.pone.0030619

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25(14):1754–1760. https://doi.org/10.1093/bioinformatics/btp324

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Dierckxsens N et al (2020) Unraveling heteroplasmy patterns with NOVOPlasty. NAR Genomics Bioinform 2(1):Iqz011. https://doi.org/10.1093/nargab/lqz011

    Article  CAS  Google Scholar 

  15. Kumar S, Stecher G, Li M, Knyaz C, Tamura K (2018) MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 35(6):1547. https://doi.org/10.1093/molbev/msy096

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Rozas J, Ferrer-Mata A, Sánchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, Sánchez-Gracia A (2017) DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol Biol Evol 34(12):3299–3302. https://doi.org/10.1093/molbev/msx248

    Article  CAS  PubMed  Google Scholar 

  17. Xia X, Xie Z (2001) DAMBE: software package for data analysis in molecular biology and evolution. J Hered 92(4):371–373. https://doi.org/10.1093/jhered/92.4.371

    Article  CAS  PubMed  Google Scholar 

  18. Wickham H, Chang W, Wickham MH (2016) Package ‘ggplot2’. Create elegant data visualisations using the grammar of graphics. Version 2(1):1–189

  19. Xiang CY et al (2023) Using PhyloSuite for molecular phylogeny and tree-based analyses. iMeta 2(1):e87. https://doi.org/10.1002/imt2.87

    Article  Google Scholar 

  20. Rambaut A (2018) FigTree, a graphical viewer of phylogenetic trees (Version 1.4. 4). Institute of evolutionary biology, University of Edinburgh

  21. Nguyen LT, Schmidt HA, Von Haeseler A, Minh BQ (2015) IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32(1):268–274. https://doi.org/10.1093/molbev/msu300

    Article  CAS  PubMed  Google Scholar 

  22. Fu YT et al (2021) Characterization of the complete mitochondrial genomes of six horseflies (Diptera: Tabanidae). Infect Genet Evol 95:105054. https://doi.org/10.1016/j.meegid.2021.105054

    Article  CAS  PubMed  Google Scholar 

  23. Cameron SL et al (2007) A mitochondrial genome phylogeny of Diptera: whole genome sequence data accurately resolve relationships over broad timescales with high precision. Syst Entomol 32(1):40–59. https://doi.org/10.1111/j.1365-3113.2006.00355.x

    Article  Google Scholar 

  24. Zhang Z et al (2015) The mitochondrial genome of Dastarcus helophoroides (Coleoptera: Bothrideridae) and related phylogenetic analyses. Gene 560(1):15–24. https://doi.org/10.1016/j.gene.2014.12.026

    Article  CAS  PubMed  Google Scholar 

  25. Wang K et al (2016) The complete mitochondrial genome of the Atylotus miser (Diptera: Tabanomorpha: Tabanidae), with mitochondrial genome phylogeny of lower Brachycera (Orthorrhapha). Gene 586(1):184–196. https://doi.org/10.1016/j.gene.2016.04.013

    Article  CAS  PubMed  Google Scholar 

  26. Marková S, Filipi K, Searle JB, Kotlík P (2015) Mapping 3′ transcript ends in the bank vole (Clethrionomys glareolus) mitochondrial genome with RNA-Seq. BMC Genomics 16:1–9. https://doi.org/10.1186/s12864-015-2103-2

    Article  CAS  Google Scholar 

  27. Dharmashekara C et al (2021) Comprehensive analysis and assessment on codon usage pattern of hemolytic genes from different strains of Leptospira interrogans. J Pharm Res Int 33(60B):400–410. https://doi.org/10.9734/JPRI/2021/v33i60B34635

    Article  Google Scholar 

  28. Cameron SL (2014) How to sequence and annotate insect mitochondrial genomes for systematic and comparative genomics research. Syst Entomol 39(3):400–411. https://doi.org/10.1111/syen.12071

    Article  Google Scholar 

  29. Liu J et al (2023) Analysis of the mitogenomes of two helotid species provides new insights into the phylogenetic relationship of the Basal Cucujoidea (Insecta: Coleoptera). Biology 12(1):135. https://doi.org/10.3390/biology12010135

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Hale ML, Borland AM, Gustafsson MHG, Wolff K (2004) Causes of size homoplasy among chloroplast microsatellites in closely related Clusia species. J Mol Evol 58:182–190. https://doi.org/10.1007/s00239-003-2540-4

    Article  CAS  PubMed  Google Scholar 

  31. Liu M et al (2022) Phylogenetic analysis of mitochondrial genome of Tabanidae (Diptera: Tabanidae) reveals the present status of Tabanidae classification. Insects 13(8):695. https://doi.org/10.3390/insects13080695

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kipp EJ et al (2021) Nanopore adaptive sampling for mitogenome sequencing and blood meal identification in hematophagous insects. bioRxiv. https://doi.org/10.1101/2021.11.11.468279

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors are thankful to the Director, Zoological Survey of India (ZSI), Ministry of Environment, Forests and Climate Change (MoEFCC), Govt. of India for providing necessary permissions and facilities. This work is the part of Ph.D. thesis of first author.

Funding

This work was financially supported by Zoological Survey of India (ZSI) in-house project, ‘Building Digital Sequence Information (DSI) Library of Fauna of India’ to D.B., V.K. and K.T. AG is also grateful to University Grant Commission (UGC) for providing the fellowship and Grant under “Scheme: NET-JRF-FELLOWSHIP” for “Student-ID: DEC18-344658”.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Specimen collection and identification were performed by AM, DB and AN. Data curation, analysis, and representation were performed by AG and KT. The first draft was written by AG, KT, and VK, and further edited by all authors. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Kaomud Tyagi or Vikas Kumar.

Ethics declarations

Competing interests

The authors declare that there are no relevant financial or non-financial interests.

Ethical approval

No specific permission was needed for the collection of the tabanids as they are collected from the domestic livestock’s by general sweeping method.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 2934 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mukherjee, A., Ghosh, A., Tyagi, K. et al. Characterization of complete mitochondrial genome of three Horse flies of the genus Tabanus (Diptera: Tabanidae): comparative analysis. Mol Biol Rep 50, 9897–9908 (2023). https://doi.org/10.1007/s11033-023-08837-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11033-023-08837-z

Keywords

Navigation