The Complete Nucleotide Sequence and Gene Organization of the Mitochondrial Genome of Triatoma boliviana (Hemiptera, Reduviidae, Triatominae) and Phylogenetic Comparisons

  1. Pita, Sebastián
  2. Mora, Pablo
  3. Rojas-Cortez, Mirko
  4. Palomeque, Teresa
  5. Lorite, Pedro
  6. Panzera, Francisco
  1. 1 Department of Experimental Biology, Genetics, University of Jaén
  2. 2 Evolutionary Genetic Section, Faculty of Science, University of the Republic. Uruguay
  3. 3 ISGlobal, Barcelona Institute for Global Health
  4. 4 Fundación Salud Naturaleza Integral (SANIT)
Mostrar afiliaciones +
Revista:
Arthropoda

ISSN: 2813-3323

Año de publicación: 2023

Volumen: 1

Número: 1

Páginas: 2-10

Tipo: Artículo

DOI: 10.3390/ENTOMOLOGY1010002 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Arthropoda

Resumen

The complete mitogenome of Triatoma boliviana Martínez, Chávez, Sossa, Aranda, Vargas and Vidaurre, 2007 was assembled using next generation sequencing data. The 16,719 bp long genome contains 13 protein coding genes, 22 transfer RNAs, two ribosomal RNAs, and a control region. This mitogenome showed similar nucleotide composition, gene order and orientation than other triatomines. Molecular phylogenetic analyses based on available complete mitogenomes from Reduviidae supported that Triatominae is a monophyletic group and that T. boliviana is basal to the two main Triatomini clades: North and South American. In addition, the analysis of a fragment of the 16S mitochondrial gene among Triatomini species, including species of the dispar lineage, supports the inclusion of T. boliviana in this group.

€ Ver financiación

Información de financiación

Financiadores

  • Comisión Sectorial de Investigación Científica”
    • project grant no. 160
    • II/FVF/2019/054
    • .
    • .
    • .
    • .

Referencias bibliográficas

  • Lent, (1979), Bull. Am. Mus. Nat. Hist., 163, pp. 123
  • 10.3390/pathogens10121627
  • 10.1016/bs.apar.2017.12.002
  • 10.1111/syen.12485
  • Dujardin, (2002), pp. 198
  • 10.1016/j.actatropica.2009.01.010
  • 10.1371/journal.pntd.0004527
  • Martínez Avendaño, (2007), Cuad. Hosp. Clín., 52, pp. 9
  • 10.1590/0074-02760210130
  • 10.1016/j.meegid.2020.104429
  • 10.1371/journal.pone.0045523
  • 10.1093/nar/gkw955
  • 10.1016/j.meegid.2017.06.003
  • 10.1016/j.ympev.2012.08.023
  • 10.1046/j.1365-2583.2001.00258.x
  • 10.1007/BF02099755
  • 10.1111/j.1365-2583.1993.tb00131.x
  • 10.1038/290470a0
  • 10.1093/molbev/msy096
  • 10.1093/molbev/mst010
  • 10.1093/bioinformatics/btp348
  • 10.1093/bioinformatics/bty633
  • 10.1093/bioinformatics/btq706
  • Estimating Phylogenetic Trees with Phangorn https://mran.microsoft.com/snapshot/2015-12-12/web/packages/phangorn/vignettes/Trees.pdf
  • 10.1111/2041-210X.12628
  • 10.1016/j.meegid.2020.104373
  • Wickham, (2016)
  • 10.3347/kjp.2018.56.5.515
  • 10.1016/j.ijbiomac.2019.05.020
  • 10.1016/j.ympev.2012.05.034
  • 10.1186/1471-2148-9-134
  • 10.1016/j.gene.2014.09.033
  • 10.1007/BF00164024
  • 10.1111/j.1365-3113.2007.00417.x
  • 10.1016/j.ympev.2009.05.039
  • 10.1038/srep22177
  • 10.1159/000341888
  • 10.1590/0074-02760160044
  • 10.1007/978-3-030-64548-9-4