Evidence map›Paper›PMID 28972992›Full record

ArticlePloS one2017

A landscape genetic analysis of important agricultural pest species in Tunisia: The whitefly Bemisia tabaci.

Ahmed Ben Abdelkrim, Tarek Hattab, Hatem Fakhfakh, Mohamed Sadok Belkadhi, Faten Gorsane

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Genome-wide SNPs of vegetable leafminer,Evolutionary applications · 2022
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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

5 authors.

Ahmed Ben AbdelkrimLaboratoire de Génétique Moléculaire, Immunologie et Biotechnologie. Faculté des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisie.
Tarek HattabInstitut Français de Recherche pour l'Exploitation de la Mer, IFREMER, UMR 248 MARBEC, Avenue Jean Monnet CS, Sète, France.
Hatem FakhfakhLaboratoire de Génétique Moléculaire, Immunologie et Biotechnologie. Faculté des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisie.
Mohamed Sadok BelkadhiCentre Technique des cultures protégées et géothermiques de Gabes, Gabes, Tunisie.
Faten GorsaneLaboratoire de Génétique Moléculaire, Immunologie et Biotechnologie. Faculté des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisie.ORCID http://orcid.org/0000-0002-6701-6184

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining landscape ecology and genetics provides an excellent framework to appreciate pest population dynamics and dispersal. The genetic architectures of many species are always shaped by environmental constraints. Because little is known about the ecological and genetic traits of Tunisian whitefly populations, the main objective of this work is to highlight patterns of biodiversity, genetic structure and migration routes of this pest. We used nuclear microsatellite loci to analyze B. tabaci populations collected from various agricultural areas across the country and we determine their biotype status. Molecular data were subsequently interpreted in an ecological context supplied from a species distribution model to infer habitat suitability and hereafter the potential connection paths between sampling localities. An analysis of landscape resistance to B. tabaci genetic flow was thus applied to take into account habitat suitability, genetic relatedness and functional connectivity of habitats within a varied landscape matrix. We shed light on the occurrence of three geographically delineated genetic groups with high levels of genetic differentiation within each of them. Potential migration corridors of this pest were then established providing significant advances toward the understanding of genetic features and the dynamic dispersal of this pest. This study supports the hypothesis of a long-distance dispersal of B. tabaci followed by infrequent long-term isolations. The Inference of population sources and colonization routes is critical for the design and implementation of accurate management strategies against this pest.

Indexed as

Gene FlowGenetic DriftMicrosatellite RepeatsAnimal DistributionAnimalsGenetic TestingHemipteraTunisia

Identifiers

PMID28972992
PMCPMC5626470

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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.