Evidence map›Paper›PMID 28193289›Full record

ArticleParasites & vectors2017

Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers.

Melina Campos, Jan E Conn, Diego Peres Alonso, Joseph M Vinetz, Kevin J Emerson, Paulo Eduardo Martins Ribolla

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. 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
7.9field-weighted citation impact, top 2% of its field
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, 51 citations in OpenAlex.

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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

6 authors at 4 institutions in 3 countries.

Melina CamposBiotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil.
Jan E ConnDepartment of Biomedical Sciences, School of Public Health, University at Albany (State University of New York), Albany, NY, USA.
Diego Peres AlonsoBiotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil.
Joseph M VinetzDivision of Infectious Diseases, Department of Medicine, University of California, La Jolla, San Diego, CA, USA.
Kevin J EmersonBiology Department, St. Mary's College of Maryland, St. Mary's City, MD, USA.
Paulo Eduardo Martins RibollaBiotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil. pribolla@ibb.unesp.br.
Universidade Estadual Paulista (Unesp) · BRSt. Mary's College of Maryland · USUniversity of California, San Diego · USWadsworth Center · US

Funding

Sugar-feeding behavior of the malaria vector Nyssorhynchus darlingi and development of effective attractive toxic sugar baits (ATSB) to increase intervention success in PeruU19AI089681 · NIAID · YALE UNIVERSITY · PI VINETZ, JOSEPH M. · 2010 to 2023
$20.1M
NIAID NIH HHS U19 AI089681
6 · The paper itself

Abstract

backgroundIn recent decades, throughout the Amazon Basin, landscape modification contributing to profound ecological change has proceeded at an unprecedented rate. Deforestation that accompanies human activities can significantly change aspects of anopheline biology, though this may be site-specific. Such local changes in anopheline biology could have a great impact on malaria transmission. The aim of this study was to investigate population genetics of the main malaria vector in Brazil, Anopheles darlingi, from a microgeographical perspective.

methodsMicrosatellites and ddRADseq-derived single nucleotide polymorphisms (SNPs) were used to assess levels of population genetic structuring among mosquito populations from two ecologically distinctive agricultural settlements (~60 km apart) and a population from a distant (~700 km) urban setting in the western Amazon region of Brazil.

resultsSignificant microgeographical population differentiation was observed among Anopheles darlingi populations via both model- and non-model-based analysis only with the SNP dataset. Microsatellites detected moderate differentiation at the greatest distances, but were unable to differentiate populations from the two agricultural settlements. Both markers showed low polymorphism levels in the most human impacted sites.

conclusionsAt a microgeographical scale, signatures of genetic heterogeneity and population divergence were evident in Anopheles darlingi, possibly related to local environmental anthropic modification. This divergence was observed only when using high coverage SNP markers.

Indexed as

Genetics, PopulationGenetic VariationMicrosatellite RepeatsMosquito VectorsPolymorphism, Single NucleotideAnimalsAnophelesBrazilGenotypeAmazonian BrazilAnopheles darlingiDdRADseqMalariaMicrosatellite markersSNPs

Identifiers

PMID28193289
PMCPMC5307779
OpenAlexW2588880570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.