Evidence map›Paper›PMID 37480109›Full record

ArticleParasites & vectors2023

DNA barcoding of black flies (Diptera: Simuliidae) in Indonesia.

Yan Xin Hew, Zubaidah Ya'cob, Peter H Adler, Chee Dhang Chen, Koon Weng Lau, Mohd Sofian-Azirun, Abdullah Halim Muhammad-Rasul, Qi Yan Putt, Noor Izwan-Anas, Upik Kesumawati Hadi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2023. 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
3.2field-weighted citation impact, top 9% 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, 13 citations in OpenAlex.

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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

13 authors at 5 institutions in 3 countries.

Yan Xin HewTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Zubaidah Ya'cobTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Peter H AdlerDepartment of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA.
Chee Dhang ChenInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Koon Weng LauInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Mohd Sofian-AzirunInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Abdullah Halim Muhammad-RasulInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Qi Yan PuttTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Noor Izwan-AnasTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Upik Kesumawati HadiEntomology Laboratory, Division of Parasitology and Medical Entomology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor, Indonesia.
I Wayan SuanaFaculty of Mathematics and Natural Science, University of Mataram (UNRAM), Mataram, Indonesia.
Hiroyuki TakaokaTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Van Lun LowTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia. vanlun_low@um.edu.my.
University of Malaya · MYUniversity Malaya Medical Centre · MYClemson University · USIPB University · IDUniversity of Mataram · ID

Funding

Biodiversity Information Fund for Asia BIFA6_017Ministry of Higher Education, Malaysia MO002-2019NIFA/USDA SC-1700596
6 · The paper itself

Abstract

backgroundDNA barcoding is a valuable taxonomic tool for rapid and accurate species identification and cryptic species discovery in black flies. Indonesia has 143 nominal species of black flies, but information on their biological aspects, including vectorial capacity and biting habits, remains underreported, in part because of identification problems. The current study represents the first comprehensive DNA barcoding of Indonesian black flies using mitochondrial cytochrome c oxidase subunit I (COI) gene sequences.

methodsGenomic DNA of Indonesian black fly samples were extracted and sequenced, producing 86 COI sequences in total. Two hundred four COI sequences, including 118 GenBank sequences, were analysed. Maximum likelihood (ML) and Bayesian inference (BI) trees were constructed and species delimitation analyses, including ASAP, GMYC and single PTP, were performed to determine whether the species of Indonesian black flies could be delineated. Intra- and interspecific genetic distances were also calculated and the efficacy of COI sequences for species identification was tested.

resultsThe DNA barcodes successfully distinguished most morphologically distinct species (> 80% of sampled taxa). Nonetheless, high maximum intraspecific distances (3.32-13.94%) in 11 species suggested cryptic diversity. Notably, populations of the common taxa Simulium (Gomphostilbia) cheongi, S. (Gomphostilbia) sheilae, S. (Nevermannia) feuerborni and S. (Simulium) tani in the islands of Indonesia were genetically distinct from those on the Southeast Asian mainland (Malaysia and Thailand). Integrated morphological, cytogenetic and nuclear DNA studies are warranted to clarify the taxonomic status of these more complex taxa.

conclusionsThe findings showed that COI barcoding is a promising taxonomic tool for Indonesian black flies. The DNA barcodes will aid in correct identification and genetic study of Indonesian black flies, which will be helpful in the control and management of potential vector species.

Indexed as

DNA Barcoding, TaxonomicSimuliidaeAnimalsIndonesiaCOIIndonesiaPhylogeneticSimulium

Identifiers

PMID37480109
PMCPMC10362752
OpenAlexW4385064193

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.