Evidence map›Paper›PMID 41954590›Full record

ReviewVeterinary medicine and science2026

Understanding the Distribution of Muscidae Flies and Their Role as Vectors of Bacterial Pathogens in South Africa: A Review Using BOLD Barcoding Data.

Veronica Phetla, Monica Mwale, Oriel Thekisoe, Maropeng Charles Monyama

Abstract readReview
In one paragraph

Review in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Veronica PhetlaDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Science, University of South Africa, Pretoria, South Africa.
Monica MwaleFoundational Biodiversity Science, South African National Biodiversity Institute, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-2180-8917
Oriel ThekisoeUnit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa.
Maropeng Charles MonyamaDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Science, University of South Africa, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of Muscidae flies as vectors of bacterial pathogens with veterinary and public health significance necessitates accurate species identification and distribution mapping. This review analysed records from the Barcode of Life Data Systems (BOLD) and the South African National Biodiversity Institute (SANBI) national Diptera checklist, the BOLD Arthropoda progress report and literature, to assess South African Muscidae diversity, distribution and pathogen transmission. Through comparative analysis, we documented a total of 276 Muscidae fly species within the South African region. Three genera (n = 3) of the 38 genera, namely Coenosia, Lispe and Musca, demonstrated notable barcoding percentage gaps of 99%, 98% and 98%, respectively, indicating substantial genetic identification challenges. For the remaining 35 genera, a complete absence of barcode information was recorded, representing a 100% barcoding data gap. The striking disparity in Barcode Index Number (BIN) records across the three predominant fly genera (Coenosia, Lispe and Musca) reflects a concerning pattern in South African dipteran molecular taxonomy. The species Musca domestica demonstrated the most extensive pathogen diversity, carrying 22 distinct bacterial species, which include the ESKAPE group of pathogens. The results reveal critical gaps in taxonomic data alongside substantial pathogen transmission risks, necessitating integrated molecular-taxonomic approaches and targeted disease control strategies.

Indexed as

Animal DistributionInsect VectorsMuscidaeAnimalsBacteriaDNA Barcoding, TaxonomicSouth AfricadiseasesDNA barcodingSouth Africa

Identifiers

PMID41954590
PMCPMC13064580

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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.