Evidence map›Paper›PMID 34156069›Full record

ArticleBiology open2021

High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes.

Matthew V Cannon, Haikel N Bogale, Devika Bhalerao, Kalil Keita, Denka Camara, Yaya Barry, Moussa Keita, Drissa Coulibaly, Abdoulaye K Kone, Ogobara K Doumbo and 10 more

Open access · goldAbstract read
In one paragraph

Article in Biology open, 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
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A Systematic Review on the Viruses ofTropical medicine and infectious disease · 2023
    Review
  5. Identification of NeotropicalTropical medicine and infectious disease · 2023
    Article
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

20 authors at 6 institutions in 2 countries.

Matthew V CannonInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-3035-9490
Haikel N BogaleInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Devika BhaleraoInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Kalil KeitaProgramme National de Lutte contre le Paludisme, Guinea.
Denka CamaraProgramme National de Lutte contre le Paludisme, Guinea.
Yaya BarryProgramme National de Lutte contre le Paludisme, Guinea.
Moussa KeitaProgramme National de Lutte contre le Paludisme, Guinea.
Drissa CoulibalyMalaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali.
Abdoulaye K KoneMalaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali.ORCID 0000-0003-4101-5391
Ogobara K DoumboMalaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali.
Mahamadou A TheraMalaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali.ORCID 0000-0002-2679-035X
Christopher V PloweMalaria Research Program, Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Mark A TravassosMalaria Research Program, Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Seth R IrishU.S. President's Malaria Initiative and Entomology Branch, Division of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Joshua YeroshefskyDepartment of Entomology, University of Maryland College Park, College Park, MD 20742, USA.
Jeannine DorothyMosquito Control Program, Maryland Department of Agriculture, Annapolis, MD 21401, USA.
Brian PrendergastMosquito Control Program, Maryland Department of Agriculture, Annapolis, MD 21401, USA.
Brandyce St LaurentLaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Rockville, MD 20852, USA.
Megan L FritzDepartment of Entomology, University of Maryland College Park, College Park, MD 20742, USA.ORCID 0000-0003-0472-4877
David SerreInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-2446-9095
University of Maryland, Baltimore · USUniversité des Sciences, des Techniques et des Technologies de Bamako · MLMaryland Department of Natural Resources · USUniversity of Maryland, College Park · USCenters for Disease Control and Prevention · USVector (United States) · US

Funding

EXPAND PARTICIPATION BY MINORITIES IN BIOMEDICAL SCIENCER25GM055036 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI SUMMERS, MICHAEL FINLEY · 1996 to 2021
$16.9M
NIGMS NIH HHS R25 GM055036
6 · The paper itself

Abstract

Vector-borne pathogens cause many human infectious diseases and are responsible for high mortality and morbidity throughout the world. They can also cause livestock epidemics with dramatic social and economic consequences. Due to its high costs, vector-borne disease surveillance is often limited to current threats, and the investigation of emerging pathogens typically occurs after the reports of clinical cases. Here, we use high-throughput sequencing to detect and identify a wide range of parasites and viruses carried by mosquitoes from Cambodia, Guinea, Mali and the USA. We apply this approach to individual Anopheles mosquitoes as well as pools of mosquitoes captured in traps; and compare the outcomes of this assay when applied to DNA or RNA. We identified known human and animal pathogens and mosquito parasites belonging to a wide range of taxa, as well as DNA sequences from previously uncharacterized organisms. Our results also revealed that analysis of the content of an entire trap could be an efficient approach to monitor and identify rare vector-borne pathogens in large surveillance studies. Overall, we describe a high-throughput and easy-to-customize assay to screen for a wide range of pathogens and efficiently complement current vector-borne disease surveillance approaches.

Indexed as

AnimalsArbovirusesCulicidaeEukaryotaHigh-Throughput Screening AssaysHumansMosquito VectorsParasitesArbovirusEmerging pathogensEukaryotic parasitesSurveillanceVector-borne pathogensZoonosis

Identifiers

PMID34156069
PMCPMC8325944
OpenAlexW3175266342

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.