Evidence map›Paper›PMID 33300038›Full record

ArticleJournal of medical entomology2021

Efficient Monitoring of Adult and Immature Mosquitoes Through Metabarcoding of Bulk Samples: A Case Study for Non-Model Culicids With Unique Ecologies.

Pedro M Pedro, Ivy Luizi Rodrigues de Sá, Martha Virginia Ribeiro Rojas, Jandui Almeida Amorim, Allan Kardec Ribeiro Galardo, Noel Fernandes Santos Neto, Nercy Virginia Rabelo Furtado, Dario Pires de Carvalho, Kaio Augusto Nabas Ribeiro, Marcela de Paiva and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical entomology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

12 authors at 4 institutions in 1 country.

Pedro M PedroDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Ivy Luizi Rodrigues de SáDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Martha Virginia Ribeiro RojasDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Jandui Almeida AmorimDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Allan Kardec Ribeiro GalardoIEPA - Instituto de Pesquisas Cientificas e Tecnológicas do Estado do Amapá, Macapá, Brazil.
Noel Fernandes Santos NetoIEPA - Instituto de Pesquisas Cientificas e Tecnológicas do Estado do Amapá, Macapá, Brazil.
Nercy Virginia Rabelo FurtadoIEPA - Instituto de Pesquisas Cientificas e Tecnológicas do Estado do Amapá, Macapá, Brazil.
Dario Pires de CarvalhoSanto Antônio Energia, Porto Velho, Brazil.
Kaio Augusto Nabas RibeiroSanto Antônio Energia, Porto Velho, Brazil.
Marcela de PaivaSquared Biomonitoring, Nazaré Paulista, Brazil.
Maria Tereza Pepe RazzoliniDepartamento de Saúde Ambiental, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Maria Anice Mureb SallumDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0002-7051-2891
Universidade de São Paulo · BRFundação para o Desenvolvimento da UNESP · BRSolstício Energia (Brazil) · BRInstituto de Pesquisas Tecnológicas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid and economical monitoring of mosquitos is imperative to understanding the dynamics of both disease vectors and nuisance species. In light of technological advances in mosquito sampling and DNA sequencing, health agencies can now utilize the full potential of metabarcoding pipelines for rapid and standardizable surveillance. Here, we describe mosquito spatial and temporal variation, with particular focus on Mansonia Blanchard species, in the Madeira (Rondônia State) and the Ribeira (São Paulo) watersheds, Brazil using metabarcoding of the D2 rDNA marker. Sampling and molecular pipelines were used to evaluate the taxonomic contribution of mosquitos in pools of culicids collected en masse from macrophyte-roots (immatures) and from Mosquito Magnet traps and protected human landings (adults). Results for adult captures are comparable to morphological diagnoses and clarify previously unknown temporal and spatial species turnover. Metabarcoding of immature stages also confirmed the extent of the geographical distribution of some species and each taxon's association with macrophyte species. Given the benefits of metabarcoding, such as taxonomic acuity, high throughput processing, and objectivity, we suggest such techniques should be more fully incorporated into culicid monitoring schemes. The metabarcoding protocol described herein paired with standardized field sampling schemes, when used by mosquito monitoring professionals, offers substantial improvements in terms of practicality, speed and cost.

Indexed as

DNA Barcoding, TaxonomicAnimalsBrazilCulicidaeEntomologyLarvaPupaMansonia sppmass-samplingmetabarcodingmosquito monitoringribosomal DNA

Identifiers

PMID33300038
PMCPMC8122236
OpenAlexW3111617073

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.