Evidence map›Paper›PMID 39865193›Full record

ArticleCurrent microbiology2025

Metabarcoding for the Monitoring of the Microbiome and Parasitome of Medically Important Mosquito Species in Two Urban and Semi-urban Areas of South Korea.

Xavier Chavarria, Jun Ho Choi, Singeun Oh, Myungjun Kim, Dongjun Kang, In-Yong Lee, Yun Soo Jang, Myung-Hee Yi, Tai-Soon Yong, Ju Yeong Kim

Abstract read
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In one paragraph

Article in Current microbiology, 2025. 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

10 authors.

Xavier ChavarriaDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-7376-1060
Jun Ho ChoiDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0002-7416-3377
Singeun OhDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0009-0002-2757-9529
Myungjun KimDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-9308-4917
Dongjun KangDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0009-0000-3362-482X
In-Yong LeeDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.
Yun Soo JangDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.
Myung-Hee YiDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-9537-5726
Tai-Soon YongDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0002-3445-0769
Ju Yeong KimDepartment of Tropical Medicine, Institute of Tropical Medicine, Arthropods of Medical Importance Resource Bank, Yonsei University College of Medicine, Yonsei-Ro 50-1, Seodaemun-Gu, Seoul, 03722, Republic of Korea. jykim0802@yuhs.ac.ORCID http://orcid.org/0000-0003-2456-6298

Funding

Ministry of Health and Welfare HI23C1527National Research Foundation of Korea (KR) NRF-2020R1I1A2074562Yonsei University College of Medicine 6-2023-0065
6 · The paper itself

Abstract

Interactions between microbial communities and the host can modulate mosquito biology, including vector competence. Therefore, future vector biocontrol measures will utilize these interactions and require extensive monitoring of the mosquito microbiome. Metabarcoding strategies will be useful for conducting vector monitoring on a large scale. We used 16S and 18S rRNA gene metabarcoding through iSeq100 sequencing to characterize the microbiome and eukaryome of Aedes albopictus (Skuse 1894) and Culex pipiens (Linnaeus 1758), two globally important vectors present in South Korea. Mosquitoes were collected from an urban and a semi-urban location in South Korea. Bacterial alpha and beta diversities varied by population. Pseudomonadota dominated the microbiomes of both species. The microbiome composition varied by population and was dominated by different taxa. At the genus level, Wolbachia sp. was the most enriched genus in Cx. pipiens, followed by Aeromonas sp. In Ae. Albopictus, the most abundant group was Enterococcus sp. The gregarine parasite Ascogregarina taiwanensis was highly prevalent in Ae. Albopictus and its absence was marked by the presence of seven bacterial taxa. To our knowledge, this is the first characterization of the microbiome of Ae. albopictus and Cx. pipiens in these regions of South Korea and contributes to the current information on the microbiome of mosquito species, which can be used in further studies to assess pathogen-microbiome and microbiome-microbiome interactions.

Indexed as

AedesBacteriaCulexDNA Barcoding, TaxonomicMicrobiotaMosquito VectorsAnimalsRepublic of KoreaRNA, Ribosomal, 16SRNA, Ribosomal, 18SRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

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Registered trials

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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.