Evidence map›Paper›PMID 24827460›Full record

ArticlePloS one2014

Analyzing mosquito (Diptera: culicidae) diversity in Pakistan by DNA barcoding.

Muhammad Ashfaq, Paul D N Hebert, Jawwad H Mirza, Arif M Khan, Yusuf Zafar, M Sajjad Mirza

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

58 citing papers in PubMed.

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  18. DNA Barcodes ofGenes · 2023
    Article
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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.

Muhammad AshfaqBiodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada.
Paul D N HebertBiodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada.
Jawwad H MirzaNational Institute for Biotechnology and Genetic Engineering, Jhang Road, Faisalabad, Pakistan.
Arif M KhanNational Institute for Biotechnology and Genetic Engineering, Jhang Road, Faisalabad, Pakistan.
Yusuf ZafarPakistan Atomic Energy Commission, Islamabad, Pakistan.
M Sajjad MirzaNational Institute for Biotechnology and Genetic Engineering, Jhang Road, Faisalabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough they are important disease vectors mosquito biodiversity in Pakistan is poorly known. Recent epidemics of dengue fever have revealed the need for more detailed understanding of the diversity and distributions of mosquito species in this region. DNA barcoding improves the accuracy of mosquito inventories because morphological differences between many species are subtle, leading to misidentifications. METHODOLOGY/PRINCIPAL

findingsSequence variation in the barcode region of the mitochondrial COI gene was used to identify mosquito species, reveal genetic diversity, and map the distribution of the dengue-vector species in Pakistan. Analysis of 1684 mosquitoes from 491 sites in Punjab and Khyber Pakhtunkhwa during 2010-2013 revealed 32 species with the assemblage dominated by Culex quinquefasciatus (61% of the collection). The genus Aedes (Stegomyia) comprised 15% of the specimens, and was represented by six taxa with the two dengue vector species, Ae. albopictus and Ae. aegypti, dominant and broadly distributed. Anopheles made up another 6% of the catch with An. subpictus dominating. Barcode sequence divergence in conspecific specimens ranged from 0-2.4%, while congeneric species showed from 2.3-17.8% divergence. A global haplotype analysis of disease-vectors showed the presence of multiple haplotypes, although a single haplotype of each dengue-vector species was dominant in most countries. Geographic distribution of Ae. aegypti and Ae. albopictus showed the later species was dominant and found in both rural and urban environments.

conclusionsAs the first DNA-based analysis of mosquitoes in Pakistan, this study has begun the construction of a barcode reference library for the mosquitoes of this region. Levels of genetic diversity varied among species. Because of its capacity to differentiate species, even those with subtle morphological differences, DNA barcoding aids accurate tracking of vector populations.

Indexed as

AnimalsBiodiversityCulicidaeDengueDisease VectorsDNA Barcoding, TaxonomicDNA, MitochondrialGenetic VariationHaplotypesInsect VectorsPakistanPhylogeographyDNA, Mitochondrial

Identifiers

PMID24827460
PMCPMC4036727

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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.