Evidence map›Paper›PMID 33514419›Full record

ArticleParasites & vectors2021

Quantitative imagery analysis of spot patterns for the three-haplogroup classification of Triatoma dimidiata (Latreille, 1811) (Hemiptera: Reduviidae), an important vector of Chagas disease.

Daryl D Cruz, Dennis Denis, Elizabeth Arellano, Carlos N Ibarra-Cerdeña

Abstract read
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Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Chromatic and Morphological Differentiation ofPathogens (Basel, Switzerland) · 2021
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Daryl D CruzCentro de Investigación en Biodiversidad y Conservación (CIByC), Universidad Autónoma del Estado de Morelos (UAEM), Cuernavaca, Morelos, México. daryldavidcf@gmail.com.ORCID https://orcid.org/0000-0002-7714-2459
Dennis DenisDepartamento de Biología Animal y Humana, Facultad de Biología, Universidad de La Habana, Havana, Cuba.ORCID https://orcid.org/0000-0003-4808-7195
Elizabeth ArellanoCentro de Investigación en Biodiversidad y Conservación (CIByC), Universidad Autónoma del Estado de Morelos (UAEM), Cuernavaca, Morelos, México.ORCID https://orcid.org/0000-0001-8709-9514
Carlos N Ibarra-CerdeñaDepartamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV), Unidad Mérida, Yucatán, México.ORCID https://orcid.org/0000-0003-4980-4344

Funding

Secretaría de Educación Pública-Cinvestav FIDSC2018/160
6 · The paper itself

Abstract

backgroundSpots and coloring patterns evaluated quantitatively can be used to discriminate and identify possible cryptic species. Species included in the Triatoma dimidiata (Reduviidae: Triatominae) complex are major disease vectors of Chagas disease. Phylogenetic studies have defined three haplogroups for Mexico and part of Central America. We report here our evaluation of the possibility of correctly discriminating these three T. dimidiata haplogroups using the pattern of the dorsal spots.

methodsDigital images of the dorsal region of individuals from the three haplogroups were used. Image processing was used to extract primary and secondary variables characterizing the dorsal spot pattern. Statistical analysis of the variables included descriptive statistics, non-parametric Kruskal-Wallis tests, discriminant function analysis (DFA) and a neural classification network.

resultsA distinctive spot pattern was found for each haplogroup. The most differentiated pattern was presented by haplogroup 2, which was characterized by its notably larger central spots. Haplogroups 1 and 3 were more similar to each other, but there were consistent differences in the shape and orientation of the spots. Significant differences were found among haplogroups in almost all of the variables analyzed, with the largest differences seen for relative spot area, mean relative area of central spots, central spots Feret diameter and lateral spots Feret diameter and aspect ratio. Both the DFA and the neural network had correct discrimination values of > 90%.

conclusionsBased on the results of this analysis, we conclude that the spot pattern can be reliably used to discriminate among the three haplogroups of T. dimidiata in Mexico, and possibly among triatomine species.

Indexed as

AnimalsCentral AmericaChagas DiseaseClassificationInsect VectorsMexicoPigmentationTriatomaColoring patternCryptic speciesNeural classification networkSpecies complexTaxonomy

Identifiers

PMID33514419
PMCPMC7847135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.