Evidence map›Paper›PMID 35236409›Full record

ArticleParasites & vectors2022

Development of microsatellite markers for population genetics of biting midges and a potential tool for species identification of Culicoides sonorensis Wirth & Jones.

Phillip Shults, Megan Moran, Alexander J Blumenfeld, Edward L Vargo, Lee W Cohnstaedt, Pierre-Andre Eyer

Abstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Development of a Multiplex Real-Time PCR to DisambiguateCurrent issues in molecular biology · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. A Review of the Vector Status of North AmericanCurrent tropical medicine reports · 2022
    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

6 authors.

Phillip ShultsUSDA-ARS, Foreign Arthropod-Borne Animal Diseases Research Unit (FABADRU), 1515 College Ave, Manhattan, KS, 66502, USA. phillip.shults@usda.gov.ORCID http://orcid.org/0000-0003-2498-9637
Megan MoranDepartment of Entomology, Texas A&M University, College Station, TX, 77843, USA.
Alexander J BlumenfeldDepartment of Entomology, Texas A&M University, College Station, TX, 77843, USA.
Edward L VargoDepartment of Entomology, Texas A&M University, College Station, TX, 77843, USA.
Lee W CohnstaedtUSDA-ARS, Foreign Arthropod-Borne Animal Diseases Research Unit (FABADRU), 1515 College Ave, Manhattan, KS, 66502, USA.
Pierre-Andre EyerDepartment of Entomology, Texas A&M University, College Station, TX, 77843, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProper vector surveillance relies on the ability to identify species of interest accurately and efficiently, though this can be difficult in groups containing cryptic species. Culicoides Latreille is a genus of small biting flies responsible for the transmission of numerous pathogens to a multitude of vertebrates. Regarding pathogen transmission, the C. variipennis species complex is of particular interest in North America. Of the six species within this group, only C. sonorensis Wirth & Jones is a proven vector of bluetongue virus and epizootic hemorrhagic disease virus. Unfortunately, subtle morphological differences, cryptic species, and mitonuclear discordance make species identification in the C. variipennis complex challenging. Recently, single-nucleotide polymorphism (SNP) analysis enabled discrimination between the species of this group; however, this demanding approach is not practical for vector surveillance.

methodsThe aim of the current study was to develop a reliable and affordable way of distinguishing between the species within the C. variipennis complex, especially C. sonorensis. Twenty-five putative microsatellite markers were identified using the C. sonorensis genome and tested for amplification within five species of the C. variipennis complex. Machine learning was then used to determine which markers best explain the genetic differentiation between species. This led to the development of a subset of four and seven markers, which were also tested for species differentiation.

resultsA total of 21 microsatellite markers were successfully amplified in the species tested. Clustering analyses of all of these markers recovered the same species-level identification as the previous SNP data. Additionally, the subset of seven markers was equally capable of accurately distinguishing between the members of the C. variipennis complex as the 21 microsatellite markers. Finally, one microsatellite marker (C508) was found to be species-specific, only amplifying in the vector species C. sonorensis among the samples tested.

conclusionsThese microsatellites provide an affordable way to distinguish between the sibling species of the C. variipennis complex and could lead to a better understanding of the species dynamics within this group. Additionally, after further testing, marker C508 may allow for the identification of C. sonorensis with a single-tube assay, potentially providing a powerful new tool for vector surveillance in North America.

Indexed as

Bluetongue virusCeratopogonidaeAnimalsGenetics, PopulationInsect VectorsMicrosatellite RepeatsBiting midgesMolecular identificationPCRSingle-tube assayVector surveillance

Identifiers

PMID35236409
PMCPMC8889724

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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.