Evidence map›Paper›PMID 25033462›Full record

ArticlePLoS neglected tropical diseases2014

Transcriptome sequencing and developmental regulation of gene expression in Anopheles aquasalis.

André L Costa-da-Silva, Osvaldo Marinotti, José M C Ribeiro, Maria C P Silva, Adriana R Lopes, Michele S Barros, Anderson Sá-Nunes, Bianca B Kojin, Eneas Carvalho, Lincoln Suesdek and 3 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

13 authors.

André L Costa-da-SilvaLaboratório de Mosquitos Geneticamente Modificados, Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil; Instituto Nacional de Ciência e Tecnologia em Entomologia Molecular, INCT-EM, Rio de Janeiro, Rio de Janeiro, Brazil.
Osvaldo MarinottiDepartment of Molecular Biology and Biochemistry, University of California Irvine, Irvine, California, United States of America.
José M C RibeiroSection of Vector Biology, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Maria C P SilvaLaboratório de Mosquitos Geneticamente Modificados, Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Adriana R LopesLaboratório de Bioquímica e Biofísica, Instituto Butantan, São Paulo, São Paulo, Brazil.
Michele S BarrosLaboratório de Imunologia Experimental, Departamento de Imunologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Anderson Sá-NunesInstituto Nacional de Ciência e Tecnologia em Entomologia Molecular, INCT-EM, Rio de Janeiro, Rio de Janeiro, Brazil; Laboratório de Imunologia Experimental, Departamento de Imunologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Bianca B KojinDepartment of Molecular Biology and Biochemistry, University of California Irvine, Irvine, California, United States of America.
Eneas CarvalhoCentro de Biotecnologia, Instituto Butantan, São Paulo, São Paulo, Brazil.
Lincoln SuesdekLaboratório de Mosquitos Geneticamente Modificados, Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil; Laboratório de Parasitologia, Instituto Butantan, São Paulo, São Paulo, Brazil.
Mário Alberto C Silva-NetoInstituto Nacional de Ciência e Tecnologia em Entomologia Molecular, INCT-EM, Rio de Janeiro, Rio de Janeiro, Brazil; Laboratório de Sinalização Celular, Instituto de Bioquímica Médica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Anthony A JamesDepartment of Molecular Biology and Biochemistry, University of California Irvine, Irvine, California, United States of America; Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, California, United States of America.
Margareth L CapurroLaboratório de Mosquitos Geneticamente Modificados, Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil; Instituto Nacional de Ciência e Tecnologia em Entomologia Molecular, INCT-EM, Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

Vector-Borne Diseases: Biology Of Vector Host RelationshipZIAAI000810 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI RIBEIRO, JOSE · 2009 to 2025
$20.8M
Expression of Exogenous Genes in Vector MosquitoesR37AI029746 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI JAMES, ANTHONY A. · 2007 to 2016
$3.6M
EXPRESSION OF EXOGENOUS GENES IN VECTOR MOSQUITOESR01AI029746 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI JAMES, ANTHONY A. · 1989 to 2006
$1.7M
NIAID NIH HHS R01 AI029746NIAID NIH HHS R37 AI029746
6 · The paper itself

Abstract

backgroundAnopheles aquasalis is a major malaria vector in coastal areas of South and Central America where it breeds preferentially in brackish water. This species is very susceptible to Plasmodium vivax and it has been already incriminated as responsible vector in malaria outbreaks. There has been no high-throughput investigation into the sequencing of An. aquasalis genes, transcripts and proteins despite its epidemiological relevance. Here we describe the sequencing, assembly and annotation of the An. aquasalis transcriptome. METHODOLOGY/PRINCIPAL

findingsA total of 419 thousand cDNA sequence reads, encompassing 164 million nucleotides, were assembled in 7544 contigs of ≥ 2 sequences, and 1999 singletons. The majority of the An. aquasalis transcripts encode proteins with their closest counterparts in another neotropical malaria vector, An. darlingi. Several analyses in different protein databases were used to annotate and predict the putative functions of the deduced An. aquasalis proteins. Larval and adult-specific transcripts were represented by 121 and 424 contig sequences, respectively. Fifty-one transcripts were only detected in blood-fed females. The data also reveal a list of transcripts up- or down-regulated in adult females after a blood meal. Transcripts associated with immunity, signaling networks and blood feeding and digestion are discussed. CONCLUSIONS/SIGNIFICANCE: This study represents the first large-scale effort to sequence the transcriptome of An. aquasalis. It provides valuable information that will facilitate studies on the biology of this species and may lead to novel strategies to reduce malaria transmission on the South American continent. The An. aquasalis transcriptome is accessible at http://exon.niaid.nih.gov/transcriptome/An_aquasalis/Anaquexcel.xlsx.

Indexed as

AnophelesInsect VectorsAnimalsFemaleGene Expression Regulation, DevelopmentalMalariaMaleTranscriptome

Identifiers

PMID25033462
PMCPMC4102416

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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.