Literature DB >> 24681261

Towards a phylogenetic approach to the composition of species complexes in the North and Central American Triatoma, vectors of Chagas disease.

Nicholas M de la Rúa1, Dulce M Bustamante2, Marianela Menes2, Lori Stevens1, Carlota Monroy2, C William Kilpatrick1, Donna Rizzo1, Stephen A Klotz3, Justin Schmidt4, Heather J Axen1, Patricia L Dorn5.   

Abstract

Phylogenetic relationships of insect vectors of parasitic diseases are important for understanding the evolution of epidemiologically relevant traits, and may be useful in vector control. The sub-family Triatominae (Hemiptera:Reduviidae) includes ∼140 extant species arranged in five tribes comprised of 15 genera. The genus Triatoma is the most species-rich and contains important vectors of Trypanosoma cruzi, the causative agent of Chagas disease. Triatoma species were grouped into complexes originally by morphology and more recently with the addition of information from molecular phylogenetics (the four-complex hypothesis); however, without a strict adherence to monophyly. To date, the validity of proposed species complexes has not been tested by statistical tests of topology. The goal of this study was to clarify the systematics of 19 Triatoma species from North and Central America. We inferred their evolutionary relatedness using two independent data sets: the complete nuclear internal transcribed spacer-2 ribosomal DNA (ITS-2 rDNA) and head morphometrics. In addition, we used the Shimodaira-Hasegawa statistical test of topology to assess the fit of the data to a set of competing systematic hypotheses (topologies). An unconstrained topology inferred from the ITS-2 data was compared to topologies constrained based on the four-complex hypothesis or one inferred from our morphometry results. The unconstrained topology represents a statistically significant better fit of the molecular data than either the four-complex or the morphometric topology. We propose an update to the composition of species complexes in the North and Central American Triatoma, based on a phylogeny inferred from ITS-2 as a first step towards updating the phylogeny of the complexes based on monophyly and statistical tests of topologies.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chagas disease; ITS-2; Morphometry; Species complexes; Systematics; Triatominae

Mesh:

Substances:

Year:  2014        PMID: 24681261      PMCID: PMC4096843          DOI: 10.1016/j.meegid.2014.03.019

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  42 in total

1.  Comparison of isoenzyme electrophoresis and morphometric analysis for phylogenetic reconstruction of the Rhodniini (Hemiptera: Reduviidae: Triatominae).

Authors:  J P Dujardin; T Chavez; J M Moreno; M Machane; F Noireau; C J Schofield
Journal:  J Med Entomol       Date:  1999-11       Impact factor: 2.278

2.  High Trypanosoma cruzi (Kinetoplastida: Trypanosomatidae) prevalence in Triatoma sanguisuga (Hemiptera: Redviidae) in southeastern Louisiana.

Authors:  K Cesa; K A Caillouët; P L Dorn; D M Wesson
Journal:  J Med Entomol       Date:  2011-09       Impact factor: 2.278

3.  Likelihood-based tests of topologies in phylogenetics.

Authors:  N Goldman; J P Anderson; A G Rodrigo
Journal:  Syst Biol       Date:  2000-12       Impact factor: 15.683

4.  Phylogeny and biogeography of Triatominae (Hemiptera: Reduviidae): molecular evidence of a New World origin of the Asiatic clade.

Authors:  Václav Hypsa; David F Tietz; Jan Zrzavý; Ryan O M Rego; Cleber Galvao; José Jurberg
Journal:  Mol Phylogenet Evol       Date:  2002-06       Impact factor: 4.286

5.  The ITS-2 of the nuclear rDNA as a molecular marker for populations, species, and phylogenetic relationships in Triatominae (Hemiptera: Reduviidae), vectors of Chagas disease.

Authors:  A Marcilla; M D Bargues; J M Ramsey; E Magallon-Gastelum; P M Salazar-Schettino; F Abad-Franch; J P Dujardin; C J Schofield; S Mas-Coma
Journal:  Mol Phylogenet Evol       Date:  2001-01       Impact factor: 4.286

6.  Metric variation among geographic populations of the Chagas vector Triatoma dimidiata (Hemiptera: Reduviidae: Triatominae) and related species.

Authors:  Dulce Maria Bustamante; Carlota Monroy; Marianela Menes; Antonieta Rodas; Paz Maria Salazar-Schettino; Gloria Rojas; Nestor Pinto; Felipe Guhl; Jean Pierre Dujardin
Journal:  J Med Entomol       Date:  2004-05       Impact factor: 2.278

7.  Triatoma ryckmani (Hemiptera: Reduviidae) in the epiphyte Tillandsia xerographica (Bromeliaceae) in the semiarid region of Guatemala.

Authors:  Ricardo Marroquín; Carlota Monroy; Thomas G T Jaenson
Journal:  J Med Entomol       Date:  2004-05       Impact factor: 2.278

8.  Nested clade and phylogeographic analyses of the Chagas disease vector Triatoma brasiliensis in Northeast Brazil.

Authors:  Fernando A Monteiro; Martin J Donnelly; Charles B Beard; Jane Costa
Journal:  Mol Phylogenet Evol       Date:  2004-07       Impact factor: 4.286

9.  Chagas disease in a domestic transmission cycle, southern Texas, USA.

Authors:  Charles B Beard; Greg Pye; Frank J Steurer; Ray Rodriguez; Richard Campman; A Townsend Peterson; Janine Ramsey; Robert A Wirtz; Laura E Robinson
Journal:  Emerg Infect Dis       Date:  2003-01       Impact factor: 6.883

10.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity.

Authors:  Robert C Edgar
Journal:  BMC Bioinformatics       Date:  2004-08-19       Impact factor: 3.169

View more
  2 in total

Review 1.  The Evolutionary Origin of Diversity in Chagas Disease Vectors.

Authors:  Silvia A Justi; Cleber Galvão
Journal:  Trends Parasitol       Date:  2016-12-13

2.  Hypothesis testing clarifies the systematics of the main Central American Chagas disease vector, Triatoma dimidiata (Latreille, 1811), across its geographic range.

Authors:  Patricia L Dorn; Nicholas M de la Rúa; Heather Axen; Nicholas Smith; Bethany R Richards; Jirias Charabati; Julianne Suarez; Adrienne Woods; Rafaela Pessoa; Carlota Monroy; C William Kilpatrick; Lori Stevens
Journal:  Infect Genet Evol       Date:  2016-08-02       Impact factor: 3.342

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.