Evidence map›Paper›PMID 31821347›Full record

ArticlePloS one2019

BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae).

Muhammad Tayyib Naseem, Muhammad Ashfaq, Arif Muhammad Khan, Akhtar Rasool, Muhammad Asif, Paul D N Hebert

Abstract read
In one paragraph

Article in PloS one, 2019. 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
–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

3 citing papers in PubMed.

  1. 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 Tayyib NaseemNational institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.ORCID 0000-0002-6225-9777
Muhammad AshfaqCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.ORCID 0000-0003-1351-4126
Arif Muhammad KhanNational institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.
Akhtar RasoolNational institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.
Muhammad AsifNational institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.
Paul D N HebertCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids.

Indexed as

Animal DistributionDNA Barcoding, TaxonomicAnimalsAphidsCrops, AgriculturalGene LibraryPhylogenySequence Analysis, DNA

Identifiers

PMID31821347
PMCPMC6903727

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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.