Assessment of Bacterial Communities in Water Samples from Mangrove Absorbed via COVID-19 Antigen Test Kits Using Next-Generation Sequencing Technology
Keywords:
V3-4, microbes, mangrove forest, brackish water, wetland ecosystemsAbstract
This study aimed to investigate the bacterial communities in water samples from mangroves absorbed via COVID-19 antigen test kits and next-generation sequencing (NGS) technology. The locality considered for water sampling was the mangrove area in Samut Prakan Province, which exhibits a high biodiversity of microorganisms. The water samples were absorbed using a COVID-19 antigen test kit. Total genomic DNA was extracted from the test strips of the test kit (Group A) and directly from the water samples (Group B as the control) using a DNA extraction Kit. Bacterial sequencing analysis targeting the V3-V4 hypervariable regions of the 16S rRNA gene was conducted using NGS. A substantial overlap in operational taxonomic units (OTUs) was observed, with 7,140 OTUs shared between the two groups. Specifically, 867 OTUs were exclusive to Group A, whereas 1,148 OTUs were unique to Group B. At the phylum level, Group A was dominated by Proteobacteria. The abundance of Bacteroidota was high in Group B. At the genus level, bacterial PLTA13 was abundant in Group A, whereas bacterial SBR1031 and A4b were predominant in Group B. Regarding alpha diversity, there was a significant difference in the Shannon diversity index between groups (p < 0.05). The results revealed slight differences in some bacterial community compositions and one diversity index when comparing the absorbed test strips with the direct samples. This study elucidated the core bacterial microbiomes of mangroves, based on samples collected using two different techniques. Moreover, it provides important data for the further adaptation and optimisation of microbial analysis techniques in aquatic environments.
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Allard, S. M., Costa, M. T., Bulseco, A. N., Helfer, V., Wilkins, L. G. E, Hassenrück, C., Zengler, K., Zimmer, M, Erazo, N., Mazza, Rodrigues, J. L., Duke, N., Melo, V. M. M., Vanwonterghem, I., Junca, H., Makonde, H. M., Jiménez, D. J., Tavares, T. C. L., Fusi, M., Daffonchio, D., Duarte, C. M., Peixoto, R. S., Rosado, A. S., Gilbert, J. A., and Bowman, J. (2020). Introducing the mangrove microbiome initiative: Identifying microbial research priorities and approaches to better understand, protect, and rehabilitate mangrove ecosystems. mSystems, 5(5), Article e00658-20.
Meng, S., Peng, T., Liu, X., Wang, H., Huang, T., Gu, J. D., and Hu, Z. (2022). Ecological role of bacteria involved in the biogeochemical cycles of mangroves based on functional genes detected through geochip 5.0. mSphere, 7(1), Article e0093621.
Yao, L., He, M., Jiang, S., Li, X., and Shui, B. (2025). Spatiotemporal characteristics of bacterial communities in estuarine mangrove sediments in Zhejiang Province, China. Microorganisms, 13(4), Article 859.
Tabugo, S. R. (2025). Mangrove microbiomes as hidden ecological gatekeepers. Trends in microbiology, 33(12), 1254-1256.
Wainwright, B. J., Millar, T., Bowen, L., Semon, L., Hickman, K. J. E., Lee, J. N., Yeo, Z. Y., and Zahn, G. (2023). The core mangrove microbiome reveals shared taxa potentially involved in nutrient cycling and promoting host survival. Environmental Microbiome, 18(1), Article 47.
Lin, X., Hetharua, B., Lin, L., Xu, H., Zheng, T., He, Z., and Tian, Y. (2019). Mangrove sediment microbiome: Adaptive microbial assemblages and their routed biogeochemical processes in yunxiao mangrove national nature reserve, China. Microbial Ecology, 78(1), 57-69.
Hinlo, R., Gleeson, D., Lintermans, M., and Furlan, E. (2017). Methods to maximise recovery of environmental DNA from water samples. PloS One, 12(6), Article e0179251.
Demkina, A., Slonova, D., Mamontov, V., Konovalova, O., Yurikova, D., Rogozhin, V., Belova, V., Korostin, D., Sutormin, D., Severinov, K., and Isaev, A. (2023). Benchmarking DNA isolation methods for marine metagenomics. Scientific Reports, 13(1), Article 22138.
Toptan, T., Eckermann, L., Pfeiffer, A. E., Hoehl, S., Ciesek, S., Drosten, C., and Corman, V. M. (2021). Evaluation of a SARS-CoV-2 rapid antigen test: Potential to help reduce community spread?. Journal of Clinical Virology, 135, Article 104713.
Martin, S., Kohn, M. A., Bollyky, J., and Parsonnet, J. (2022). Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2. Diagnostic Microbiology and Infectious Disease, 104(3), Article 115763.
Omidfar, K., Riahi, F., and Kashanian, S. (2023). Lateral flow assay: A summary of recent progress for improving assay performance. Biosensors, 13(9), Article 837.
McCombie, W. R., McPherson, J. D., and Mardis, E. R. (2019). Next-Generation sequencing technologies. Cold Spring Harbor Perspectives in Medicine, 9(11), Article a036798.
Claesson, M. J., Wang, Q., O'Sullivan, O., Greene-Diniz, R., Cole, J. R., Ross, R. P., and O' Toole, P. W. (2010). Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions. Nucleic Acids Research, 38(22), Article e200.
Nimnoi, P., and Pongsilp, N. (2022). Insights into bacterial communities and diversity of mangrove forest soils along the upper gulf of Thailand in response to environmental factors. Biology, 11(12), Article 1787.
Ghosh, A., Maile, A., and Nagarajaram, H.A. (2025). Prokaryotic co-occurrence patterns in diverse Indian mangrove ecosystems. Scientific Reports, 15(1), Article 38283.
Chithira, M.S., Aishwarya, P., Mohan, A.S., and Antony, S.P. (2021). Profiling bacteriome associated with the sediments of a mangrove ecosystem in Kerala, India, Ecological Genetics and Genomics, 21, Article 100103.
Zhao, H., Zhang, S., Yang, W., Xia, F., Ma, X., Tan, Q. (2025). Sources and distribution of soil organic matter in mangrove wetland of Qi’ao Island: Insights from stable isotope composition and fluorescence spectroscopy, Ecological Indicators, 177, Article 113772.
Haldar, S., and Nazareth, S.W. (2018). Taxonomic diversity of bacteria from mangrove sediments of Goa: metagenomic and functional analysis. 3 Biotech, 8(10), Article 436.
Jiang, C., Diao, X., Wang, H., and Ma, S. (2021). Diverse and abundant antibiotic resistance genes in mangrove area and their relationship with bacterial communities - A study in Hainan Island, China. Environmental Pollution, 276, Article 116704.
Majaneva, M., Diserud, O. H., Eagle, S. H. C., Boström, E., Hajibabaei, M., and Ekrem, T. (2018). Environmental DNA filtration techniques affect recovered biodiversity. Scientific Reports, 8(1), Article 4682.
Cruaud, P., Vigneron, A., Fradette, M.-S., Charette, S. J., Rodriguez, M. J., Dorea, C. C., and Culley, A. I. (2017). Open the SterivexTM casing: An easy and effective way to improve DNA extraction yields. Limnology and Oceanography: Methods, 15(12), 1015-1020. https://doi.org/10.1002/lom3.10221
Abdel-Hady, A., Monge, M., Aslett, D., Mikelonis, A., Touati, A., and Ratliff, K. (2024). Comparison of liquid and filter sampling techniques for recovery of Bacillus spores and Escherichia coli from environmental water. Journal of Environmental Management, 370, Article 122711.
Yahaya, M. L., Zakaria, N. D., Noordin, R., and Razak, K. A. (2019). The effect of nitrocellulose membrane pore size of lateral flow immunoassay on sensitivity for detection of Shigella sp. In milk sample. Materials Today: Proceedings, 17(3), 878-883.
Koczula, K. M., and Gallotta, A. (2016). Lateral flow assays. Essays in Biochemistry, 60(1), 111-120.
Low, S. C., Shaimi, R., Thandaithabany, Y., Lim, J. K., Ahmad, A. L., and Ismail, A. (2013). Electrophoretic interactions between nitrocellulose membranes and proteins: Biointerface analysis and protein adhesion properties. Colloids and Surfaces. B, Biointerfaces, 110, 248-253.
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