Evidence map›Paper›PMID 26172559›Full record

ArticlePloS one2015

Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region.

Kevin J Emerson, Jan E Conn, Eduardo S Bergo, Melissa A Randel, Maria Anice M Sallum

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Population genomics ofScience (New York, N.Y.) · 2026
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  15. Amazon deforestation drives malaria transmission, and malaria burden reduces forest clearing.Proceedings of the National Academy of Sciences of the United States of America · 2019
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4 · The record

Corrections and comments

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

5 authors.

Kevin J EmersonBiology Department, St. Mary's College of Maryland, St. Mary's City, Maryland, United States of America.
Jan E ConnThe Wadsworth Center, New York State Department of Health, Albany, New York, United States of America; Department of Biomedical Sciences-School of Public Health, SUNY Albany, Albany, New York, United States of America.
Eduardo S BergoSuperintendência de Controle de Endemias, Secretaria de Estado da Saúde de São Paulo, Araraquara, São Paulo, Brazil.
Melissa A RandelInstitute of Molecular Biology, University of Oregon, Eugene, Oregon, United States of America.
Maria Anice M SallumDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.

Funding

MOLECULAR BIOLOGY AND BIOPHYSICST32GM007759 · NIGMS · UNIVERSITY OF OREGON · PI NOLEN, BRADLEY J · 1985 to 2021
$8.5M
Malaria Vector Biology in Brazil: Genetics and EcologyR01AI054139 · NIAID · WADSWORTH CENTER · PI CONN, JAN E · 2002 to 2012
$4.1M
Latitudinal Landscape Genomics and Ecology of Anopheles DarlingiR01AI110112 · NIAID · WADSWORTH CENTER · PI CONN, JAN E · 2014 to 2024
$3.7M
NIAID NIH HHS R01 AI054139NIAID NIH HHS R01 AI110112NIGMS NIH HHS T32 GM007759
6 · The paper itself

Abstract

The major drivers of the extensive biodiversity of the Neotropics are proposed to be geological and tectonic events together with Pliocene and Pleistocene environmental and climatic change. Geographical barriers represented by the rivers Amazonas/Solimões, the Andes and the coastal mountain ranges in eastern Brazil have been hypothesized to lead to diversification within the primary malaria vector, Anopheles (Nyssorhynchus) darlingi Root, which primarily inhabits rainforest. To test this biogeographical hypothesis, we analyzed 786 single nucleotide polymorphisms (SNPs) in 12 populations of An. darlingi from across the complex Brazilian landscape. Both model-based (STRUCTURE) and non-model-based (Principal Components and Discriminant Analysis) analysis of population structure detected three major genetic clusters that correspond with newly described Neotropical biogeographical regions: 1) Atlantic Forest province (= southeast population); 2) Parana Forest province (= West Atlantic forest population, with one Chacoan population - SP); and 3) Brazilian dominion population (= Amazonian population with one Chacoan population - TO). Significant levels of pairwise genetic divergences were found among the three clusters, allele sharing among clusters was negligible, and geographical distance did not contribute to differentiation. We infer that the Atlantic forest coastal mountain range limited dispersal between the Atlantic Forest province and the Parana Forest province populations, and that the large, diagonal open vegetation region of the Chacoan dominion dramatically reduced dispersal between the Parana and Brazilian dominion populations. We hypothesize that the three genetic clusters may represent three putative species.

Indexed as

AnimalsAnophelesBiodiversityBrazilCluster AnalysisDNAFemaleGenotyping TechniquesGeographyMalePolymorphism, Single NucleotideDNA

Identifiers

PMID26172559
PMCPMC4501553

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Registered trials

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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.