Evidence map›Paper›PMID 29985924›Full record

ArticlePloS one2018

Insect diversity in the Saharo-Arabian region: Revealing a little-studied fauna by DNA barcoding.

Muhammad Ashfaq, Jamal S M Sabir, Hosam O El-Ansary, Kate Perez, Valerie Levesque-Beaudin, Arif M Khan, Akhtar Rasool, Carlene Gallant, Joseph Addesi, Paul D N Hebert

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Muhammad AshfaqCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.ORCID 0000-0003-1351-4126
Jamal S M SabirBiotechnology Research Group, Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Hosam O El-AnsaryFloriculture, Ornamental Horticulture and Garden Design Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, Egypt.
Kate PerezCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.
Valerie Levesque-BeaudinCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.
Arif M KhanDepartment of Biotechnology, University of Sargodha, Sargodha, Pakistan.
Akhtar RasoolCentre for Animal Science and Fisheries, University of Swat, Mingora, Pakistan.
Carlene GallantCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.
Joseph AddesiCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.
Paul D N HebertCentre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although insects dominate the terrestrial fauna, sampling constraints and the poor taxonomic knowledge of many groups have limited assessments of their diversity. Passive sampling techniques and DNA-based species assignments now make it possible to overcome these barriers. For example, Malaise traps collect specimens with minimal intervention while the Barcode Index Number (BIN) system automates taxonomic assignments. The present study employs Malaise traps and DNA barcoding to extend understanding of insect diversity in one of the least known zoogeographic regions, the Saharo-Arabian. Insects were collected at four sites in three countries (Egypt, Pakistan, Saudi Arabia) by deploying Malaise traps. The collected specimens were analyzed by sequencing 658 bp of cytochrome oxidase I (DNA barcode) and assigning BINs on the Barcode of Life Data Systems. The year-long deployment of a Malaise trap in Pakistan and briefer placements at two Egyptian sites and at one in Saudi Arabia collected 53,092 specimens. They belonged to 17 insect orders with Diptera and Hymenoptera dominating the catch. Barcode sequences were recovered from 44,432 (84%) of the specimens, revealing the occurrence of 3,682 BINs belonging to 254 families. Many of these taxa were uncommon as 25% of the families and 50% of the BINs from Pakistan were only present in one sample. Family and BIN counts varied significantly through the year, but diversity indices did not. Although more than 10,000 specimens were analyzed from each nation, just 2% of BINs were shared by Pakistan and Saudi Arabia, 4% by Egypt and Pakistan, and 7% by Egypt and Saudi Arabia. The present study demonstrates how the BIN system can circumvent the barriers imposed by limited access to taxonomic specialists and by the fact that many insect species in the Saharo-Arabian region are undescribed.

Indexed as

BiodiversityDNA Barcoding, TaxonomicAnimalsEgyptInsectaPakistanSaudi Arabia

Identifiers

PMID29985924
PMCPMC6037371

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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.