Evidence map›Paper›PMID 38316804›Full record

ArticleScientific reports2024

Population genetic structure of Aedes aegypti subspecies in selected geographical locations in Sudan.

Sara A Abuelmaali, Abadi M Mashlawi, Intan Haslina Ishak, Mustafa Fadzil Farid Wajidi, Zairi Jaal, Silas Wintuma Avicor, Nur Faeza Abu Kassim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
3.8field-weighted citation impact, top 7% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Morphological and Genetic Heterogeneity inEcology and evolution · 2025
    Article
  6. 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

7 authors at 3 institutions in 5 countries.

Sara A Abuelmaali129 Medical Entomology Laboratory, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Abadi M MashlawiDepartment of Biology, College of Science, Jazan University, P.O. Box. 114, Jazan, 45142, Kingdom of Saudi Arabia.
Intan Haslina Ishak129 Medical Entomology Laboratory, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia. intanishak@usm.my.
Mustafa Fadzil Farid WajidiMolecular Entomology Research Group, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Zairi JaalVector Control Research Unit, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Silas Wintuma AvicorMolecular Entomology Research Group, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Nur Faeza Abu Kassim129 Medical Entomology Laboratory, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia. nurfaeza@usm.my.
Universiti Sains Malaysia · MYCocoa Research Institute of Ghana · GHJazan University · SA

Funding

Universiti Sains Malaysia 1001/PBIOLOGI/8011032
6 · The paper itself

Abstract

Although knowledge of the composition and genetic diversity of disease vectors is important for their management, this is limiting in many instances. In this study, the population structure and phylogenetic relationship of the two Aedes aegypti subspecies namely Aedes aegypti aegypti (Aaa) and Aedes aegypti formosus (Aaf) in eight geographical areas in Sudan were analyzed using seven microsatellite markers. Hardy-Weinberg Equilibrium (HWE) for the two subspecies revealed that Aaa deviated from HWE among the seven microsatellite loci, while Aaf exhibited departure in five loci and no departure in two loci (A10 and M201). The Factorial Correspondence Analysis (FCA) plots revealed that the Aaa populations from Port Sudan, Tokar, and Kassala clustered together (which is consistent with the unrooted phylogenetic tree), Aaf from Fasher and Nyala populations clustered together, and Gezira, Kadugli, and Junaynah populations also clustered together. The Bayesian cluster analysis structured the populations into two groups suggesting two genetically distinct groups (subspecies). Isolation by distance test revealed a moderate to strong significant correlation between geographical distance and genetic variations (p = 0.003, r = 0.391). The migration network created using divMigrate demonstrated that migration and gene exchange between subspecies populations appear to occur based on their geographical proximity. The genetic structure of the Ae. aegypti subspecies population and the gene flow among them, which may be interpreted as the mosquito vector's capacity for dispersal, were revealed in this study. These findings will help in the improvement of dengue epidemiology research including information on the identity of the target vector/subspecies and the arboviruses vector surveillance program.

Indexed as

AedesGenetics, PopulationAnimalsBayes TheoremGenetic StructuresGenetic VariationMicrosatellite RepeatsMosquito VectorsPhylogenySudan

Identifiers

PMID38316804
PMCPMC10844603
OpenAlexW4391529538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.