Evidence map›Paper›PMID 40597261›Full record

ArticleMalaria journal2025

Phylogenetic taxonomy of the Zambian Anopheles coustani group using a mitogenomics approach.

Soha Usmani, Mary E Gebhardt, Limonty Simubali, Kochelani Saili, Westone Hamwata, Hunter Chilusu, Mbanga Muleba, Conor J McMeniman, Anne C Martin, William J Moss and 2 more

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Soha UsmaniThe W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mary E GebhardtThe W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Limonty SimubaliMacha Research Trust, Choma, Zambia.
Kochelani SailiMacha Research Trust, Choma, Zambia.
Westone HamwataTropical Diseases Research Centre, Ndola, Zambia.
Hunter ChilusuTropical Diseases Research Centre, Ndola, Zambia.
Mbanga MulebaTropical Diseases Research Centre, Ndola, Zambia.
Conor J McMenimanThe W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Anne C MartinThe Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
William J MossThe Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Douglas E Norris *The W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Reneé L M N Ali *The W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. rali23@jh.edu.

Funding

TransmissionU19AI089680 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WILLIAM J MOSS · 2010 to 2026
$25.6M
Malaria and Mosquito/Tick-borne DiseasesT32AI138953 · NIAID · JOHNS HOPKINS UNIVERSITY · PI DAVID Joseph SULLIVAN · 2019 to 2026
$2.0M
NIAID NIH HHS T32 AI138953NIAID NIH HHS U19 AI089680NIH HHS T32AI138953The National Institute of Allergy and Infectious Diseases of the National Institutes of Health U19AI089680
6 · The paper itself

Abstract

backgroundMosquito species belonging to the Anopheles coustani group have been implicated in driving residual malaria transmission in sub-Saharan Africa and are regarded as an established primary vector in Madagascar. The morphological identification of mosquitoes in this group is challenging due to similarity of features and their molecular confirmation is difficult due to a paucity of reference sequence data representing all members of the group. Conventional molecular barcoding with the cytochrome oxidase I (COI) gene and the internal transcribed spacer 2 (ITS2) region targets is limited in their discrimination and conclusive identification of members of species complexes. In contrast, complete mitochondrial genomes (mitogenomes) have demonstrated much improved power over barcodes to be useful in rectifying taxonomic discrepancies in Culicidae. The goal of this study was to characterize the phylogenetic taxonomy of Zambian members of the An. coustani group by generating and then using complete mitochondrial genomes for phylogenetic rectification.

methodsA genome skimming approach was utilized via shallow shotgun sequencing on individual mosquito specimens to generate sequence reads for mitogenome assembly. Bayesian inferred phylogenies and molecular dating estimations were perfomed on the concatenated protein coding genes using the Bayesian Evolutionary Analysis by Sampling Trees 2 (BEAST 2) platform. Divergence estimates were calibrated for members of the An. coustani group based on published calucations for Anopheles-Aedes.

resultsThis study generated 17 new complete mitogenomes which were comprable to reference An. coustani mitogenomes in the GenBank repository by having 13 protein coding, 22 transfer RNA and 2 ribosomal RNA genes, with an average length of 15,400 bp and AT content of 78.3%. Bayesian inference using the concatenated protein coding genes from the generated and publicly available mitogenomes yielded six clades: one for each of the four taxa targeted in this study, the GenBank references, and a currently unknown species. Divergence times estimated that the An. coustani group separated from the Anopheles gambiae complex approximately 110 million years ago (MYA), and members within the complex diverged at times points ranging from ~ 34 MYA to as recent as ~ 7 MYA.

conclusionsThese findings demonstrate the value of mitochondrial genomes in differentiating cryptic taxa and help to confirm morphological identities of An. coustani sensu stricto, Anopheles paludis, Anopheles zeimanni and Anopheles tenebrosus. Divergence estimates within the An. coustani group are similar when compared to species with morphologically distinct features. These analyses also highlight the likely presence of other cryptic An. coustani group members circulating in Zambia.

Indexed as

AnophelesGenome, MitochondrialMosquito VectorsPhylogenyAnimalsZambiaAnopheles coustaniMalariaMitochondrial genomePhylogenyZambia

Identifiers

PMID40597261
PMCPMC12211492

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.