Search
2026 Volume 2
Article Contents
REVIEW   Open Access    

An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems

  • Full list of author information is available at the end of the article.

  • Received: 10 December 2025
    Revised: 13 January 2026
    Accepted: 23 January 2026
    Published online: 11 March 2026
    Biocontaminant  2 Article number: e004 (2026)  |  Cite this article
  • Synthesizes knowledge on cyanobacteria-ARGs interactions in freshwater systems.

    Reviews interaction modes and key factors modulating cyanobacteria-ARGs dynamics.

    Highlights two-way ecological interactions between cyanobacteria and ARGs.

  • Cyanobacteria are integral components of freshwater ecosystems. As prokaryotes, they can harbor antibiotic resistance genes (ARGs); however, the co-occurrence patterns between specific ARGs and cyanobacteria observed in metagenomic data remain challenging to interpret. This review synthesizes current evidence by integrating qualitative assessment, bibliometric trend analysis, and a conceptual framework to examine cyanobacteria–ARG interactions and their modulating drivers, such as climatic variation, anthropogenic pressures, environmental factors, and microbial interdependencies. Two principal findings are identified: cyanobacteria function both as carriers of ARGs and as ecological regulators, and many documented cyanobacteria–shared environmental drivers influence ARG relationships. The review highlights the need for taxon-resolved quantitative datasets, mechanistic studies of ARG-mediated cyanobacterial resilience, and cross-system comparisons utilizing multi-omics and predictive modeling. Advancing these research directions will improve understanding of cyanobacteria–ARG linkages and enhance risk assessment in the context of global warming and increasing anthropogenic impact.
    Graphical Abstract
  • 加载中
  • The supplementary files can be downloaded from here.
  • [1] Acosta A, Tirkaso W, Nicolli F, Van Boeckel TP, Cinardi G, et al. 2025. The future of antibiotic use in livestock. Nature Communications 16:2469 doi: 10.1038/s41467-025-56825-7

    CrossRef   Google Scholar

    [2] MacLean RC, San Millan A. 2019. The evolution of antibiotic resistance. Science 365:1082−1083 doi: 10.1126/science.aax3879

    CrossRef   Google Scholar

    [3] Bengtsson-Palme J, Abramova A, Berendonk TU, Coelho LP, Forslund SK, et al. 2023. Towards monitoring of antimicrobial resistance in the environment: for what reasons, how to implement it, and what are the data needs? Environment International 178:108089 doi: 10.1016/j.envint.2023.108089

    CrossRef   Google Scholar

    [4] Amarasiri M, Sano D, Suzuki S. 2020. Understanding human health risks caused by antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARG) in water environments: current knowledge and questions to be answered. Critical Reviews in Environmental Science and Technology 50:2016−2059 doi: 10.1080/10643389.2019.1692611

    CrossRef   Google Scholar

    [5] Larsson DGJ, Gaze WH, Laxminarayan R, Topp E. 2023. AMR, One Health and the environment. Nature Microbiology 8:754−755 doi: 10.1038/s41564-023-01351-9

    CrossRef   Google Scholar

    [6] Squadrone S. 2020. Water environments: metal-tolerant and antibiotic-resistant bacteria. Environmental Monitoring and Assessment 192:238 doi: 10.1007/s10661-020-8191-8

    CrossRef   Google Scholar

    [7] Guo ZF, Boeing WJ, Xu YY, Borgomeo E, Liu D, et al. 2023. Data-driven discoveries on widespread contamination of freshwater reservoirs by dominant antibiotic resistance genes. Water Research 229:119466 doi: 10.1016/j.watres.2022.119466

    CrossRef   Google Scholar

    [8] Zhou ZC, Shuai XY, Lin ZJ, Zheng J, Chen H. 2023. Comprehensive profiling and risk assessment of antibiotic resistance genes in a drinking water watershed by integrated analysis of air-water-soil. Journal of Environmental Management 347:119092 doi: 10.1016/j.jenvman.2023.119092

    CrossRef   Google Scholar

    [9] Cassini A, Högberg LD, Plachouras D, Quattrocchi A, Hoxha A, et al. 2019. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis. The Lancet Infectious Diseases 19:56−66 doi: 10.1016/S1473-3099(18)30605-4

    CrossRef   Google Scholar

    [10] Naghavi M, Vollset SE, Ikuta KS, Swetschinski LR, Gray AP, et al. 2024. Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050. The Lancet 404:1199−1226 doi: 10.1016/S0140-6736(24)01867-1

    CrossRef   Google Scholar

    [11] Zheng D, Yin G, Liu M, Chen C, Jiang Y, et al. 2021. A systematic review of antibiotics and antibiotic resistance genes in estuarine and coastal environments. Science of The Total Environment 777:146009 doi: 10.1016/j.scitotenv.2021.146009

    CrossRef   Google Scholar

    [12] Perry JA, Westman EL, Wright GD. 2014. The antibiotic resistome: what's new? Current Opinion in Microbiology 21:45−50 doi: 10.1016/j.mib.2014.09.002

    CrossRef   Google Scholar

    [13] Banerji A, Brinkman NE, Davis B, Franklin A, Jahne M, et al. 2024. Food webs and feedbacks: the untold ecological relevance of antimicrobial resistance as seen in harmful algal blooms. Microorganisms 12:2121 doi: 10.3390/microorganisms12112121

    CrossRef   Google Scholar

    [14] Sun J, Wang X, He Y, Han M, Li M, et al. 2025. Environmental fate of antibiotic resistance genes in livestock farming. Archives of Microbiology 207:1−24 doi: 10.1007/s00203-025-04320-4

    CrossRef   Google Scholar

    [15] Tang Q, Lu T, Zhang J, Huang H, Guo B, et al. 2025. Response of antibiotic resistance genes expression and mediating role of viral community to antibiotics and heavy metals in anaerobic digestion. Chemical Engineering Journal 509:161396 doi: 10.1016/j.cej.2025.161396

    CrossRef   Google Scholar

    [16] Yan J, Zhang X, Shi X, Wu J, Zhou Z, et al. 2025. Metagenomic insights into the rapid recovery mechanisms of prokaryotic community and spread of antibiotic resistance genes after seawater disinfection. Water Research 271:122887 doi: 10.1016/j.watres.2024.122887

    CrossRef   Google Scholar

    [17] Pinto Ferreira J, Battaglia D, Dorado García A, Tempelman K, Bullon C, et al. 2022. Achieving antimicrobial stewardship on the global scale: challenges and opportunities. Microorganisms 10:1599 doi: 10.3390/microorganisms10081599

    CrossRef   Google Scholar

    [18] Hibbard R, Mendelson M, Page SW, Ferreira JP, Pulcini C, et al. 2024. Antimicrobial stewardship: a definition with a One Health perspective. npj Antimicrobials and Resistance 2:15 doi: 10.1038/s44259-024-00031-w

    CrossRef   Google Scholar

    [19] Silva V, Correia S, Pereira JE, Igrejas G, Poeta P. 2020. Surveillance and environmental risk assessment of antibiotics and AMR/ARGs related with MRSA: one health perspective. In Antibiotics and Antimicrobial Resistance Genes: Environmental Occurrence and Treatment Technologies. ed. Hashmi M. Cham: Springer International Publishing. pp. 271−295 doi: 10.1007/978-3-030-40422-2_13
    [20] Li S, Bai Y, Li Z, Wang A, Ren NQ, et al. 2025. Overlooked role of extracellular polymeric substances in antibiotic-resistance gene transfer within microalgae-bacteria system. Journal of Hazardous Materials 488:137206 doi: 10.1016/j.jhazmat.2025.137206

    CrossRef   Google Scholar

    [21] Peng J, Chen J, Liu S, Liu T, Cao M, et al. 2024. Dynamics of algal blooms in typical low-latitude plateau lakes: spatiotemporal patterns and driving factors. Environmental Pollution 345:123453 doi: 10.1016/j.envpol.2024.123453

    CrossRef   Google Scholar

    [22] Li W, Mao F, Te SH, He Y, Gin KY. 2021. Impacts of Microcystis on the dissemination of the antibiotic resistome in cyanobacterial blooms. ACS ES& T Water 1:1263−1273 doi: 10.1021/acsestwater.1c00006

    CrossRef   Google Scholar

    [23] Xiao X, Peng Y, Zhang W, Yang X, Zhang Z, et al. 2024. Current status and prospects of algal bloom early warning technologies: a review. Journal of Environmental Management 349:119510 doi: 10.1016/j.jenvman.2023.119510

    CrossRef   Google Scholar

    [24] Fang C, Song K, Yan Z, Liu G. 2025. Monitoring phycocyanin in global inland waters by remote sensing: progress and future developments. Water Research 275:123176 doi: 10.1016/j.watres.2025.123176

    CrossRef   Google Scholar

    [25] Hou X, Feng L, Dai Y, Hu C, Gibson L, et al. 2022. Global mapping reveals increase in lacustrine algal blooms over the past decade. Nature Geoscience 15:130−134 doi: 10.1038/s41561-021-00887-x

    CrossRef   Google Scholar

    [26] Benayache NY, Nguyen-Quang T, Hushchyna K, McLellan K, Afri-Mehennaoui FZ, et al. 2019. An overview of cyanobacteria harmful algal bloom (CyanoHAB) issues in freshwater ecosystems. In Limnology - Some New Aspects of Inland Water Ecology. ed. Gökçe D. London: IntechOpen. pp. 13−37 doi: 10.5772/intechopen.84155
    [27] Strecker J, Ladha A, Gardner Z, Schmid-Burgk JL, Makarova KS, et al. 2019. RNA-guided DNA insertion with CRISPR-associated transposases. Science 365:48−53 doi: 10.1126/science.aax9181

    CrossRef   Google Scholar

    [28] Zeng YH, Cai ZH, Zhu JM, Du XP, Zhou J. 2020. Two hierarchical LuxR-LuxI type quorum sensing systems in Novosphingobium activate microcystin degradation through transcriptional regulation of the mlr pathway. Water Research 183:116092 doi: 10.1016/j.watres.2020.116092

    CrossRef   Google Scholar

    [29] Timms VJ, Hassan KA, Pearson LA, Neilan BA. 2023. Cyanobacteria as a critical reservoir of the environmental antimicrobial resistome. Environmental Microbiology 25:2266−2276 doi: 10.1111/1462-2920.16453

    CrossRef   Google Scholar

    [30] Volk A, Lee J. 2023. Cyanobacterial blooms: a player in the freshwater environmental resistome with public health relevance? Environmental Research 216:114612 doi: 10.1016/j.envres.2022.114612

    CrossRef   Google Scholar

    [31] Jiang C, Zhao Z, Grossart HP, Ju F, Zhao Y, et al. 2024. Health risk ranking of antibiotic resistance genes in the Yangtze River. Environmental Science and Ecotechnology 21:100388 doi: 10.1016/j.ese.2024.100388

    CrossRef   Google Scholar

    [32] Zainab SM, Junaid M, Xu N, Malik RN. 2020. Antibiotics and antibiotic resistant genes (ARGs) in groundwater: a global review on dissemination, sources, interactions, environmental and human health risks. Water Research 187:116455 doi: 10.1016/j.watres.2020.116455

    CrossRef   Google Scholar

    [33] Liu L, Chen H, Liu M, Yang JR, Xiao P, et al. 2019. Response of the eukaryotic plankton community to the cyanobacterial biomass cycle over 6 years in two subtropical reservoirs. The ISME Journal 13:2196−2208 doi: 10.1038/s41396-019-0417-9

    CrossRef   Google Scholar

    [34] Dias E, Oliveira M, Jones-Dias D, Vasconcelos V, Ferreira E, et al. 2015. Assessing the antibiotic susceptibility of freshwater Cyanobacteria spp. Frontiers in Microbiology 6:799 doi: 10.3389/fmicb.2015.00799

    CrossRef   Google Scholar

    [35] Wang Z, Chen Q, Zhang J, Guan T, Chen Y, et al. 2020. Critical roles of cyanobacteria as reservoir and source for antibiotic resistance genes. Environment International 144:106034 doi: 10.1016/j.envint.2020.106034

    CrossRef   Google Scholar

    [36] Zhang Q, Zhang Z, Lu T, Peijnenburg W, Gillings M, et al. 2020. Cyanobacterial blooms contribute to the diversity of antibiotic-resistance genes in aquatic ecosystems. Communications Biology 3:737 doi: 10.1038/s42003-020-01468-1

    CrossRef   Google Scholar

    [37] Carey CC, Ibelings BW, Hoffmann EP, Hamilton DP, Brookes JD. 2012. Eco-physiological adaptations that favour freshwater cyanobacteria in a changing climate. Water Research 46:1394−1407 doi: 10.1016/j.watres.2011.12.016

    CrossRef   Google Scholar

    [38] Hsieh SC, Peters JE. 2023. Discovery and characterization of novel type I-D CRISPR-guided transposons identified among diverse Tn7-like elements in cyanobacteria. Nucleic Acids Research 51:765−782 doi: 10.1093/nar/gkac1216

    CrossRef   Google Scholar

    [39] Chen Y, Holtman CK, Magnuson RD, Youderian PA, Golden SS. 2008. The complete sequence and functional analysis of pANL, the large plasmid of the unicellular freshwater cyanobacterium Synechococcus elongatus PCC 7942. Plasmid 59:176−192 doi: 10.1016/j.plasmid.2008.01.005

    CrossRef   Google Scholar

    [40] Christiansen G, Molitor C, Philmus B, Kurmayer R. 2008. Nontoxic strains of cyanobacteria are the result of major gene deletion events induced by a transposable element. Molecular Biology and Evolution 25:1695−1704 doi: 10.1093/molbev/msn120

    CrossRef   Google Scholar

    [41] Lin S, Haas S, Zemojtel T, Xiao P, Vingron M, et al. 2010. Genome-wide comparison of cyanobacterial transposable elements, potential genetic diversity indicators. Gene 473:139−149 doi: 10.1016/j.gene.2010.11.011

    CrossRef   Google Scholar

    [42] Wang Q, Mao D, Luo Y. 2015. Ionic liquid facilitates the conjugative transfer of antibiotic resistance genes mediated by plasmid RP4. Environmental Science & Technology 49:8731−8740 doi: 10.1021/acs.est.5b01129

    CrossRef   Google Scholar

    [43] Dziallas C, Grossart HP. 2011. Temperature and biotic factors influence bacterial communities associated with the cyanobacterium Microcystis sp. Environmental Microbiology 13:1632−1641 doi: 10.1111/j.1462-2920.2011.02479.x

    CrossRef   Google Scholar

    [44] Yin Z, Zhou X, Kang J, Pei F, Du R, et al. 2022. Intraspecific and interspecific quorum sensing of bacterial community affects the fate of antibiotic resistance genes during chicken manure composting under penicillin G stress. Bioresource Technology 347:126372 doi: 10.1016/j.biortech.2021.126372

    CrossRef   Google Scholar

    [45] Kim MJ, Kang D, Lee G, Kim K, Kim J, et al. 2023. Interplays between cyanobacterial blooms and antibiotic resistance genes. Environment International 181:108268 doi: 10.1016/j.envint.2023.108268

    CrossRef   Google Scholar

    [46] Cock IE, Cheesman MJ. 2023. A review of the antimicrobial properties of cyanobacterial natural products. Molecules 28:7127 doi: 10.3390/molecules28207127

    CrossRef   Google Scholar

    [47] Wu X, Jia W, Fang Z, Sun H, Wang G, et al. 2024. Cyanobacteria mediate the dissemination of bacterial antibiotic resistance through conjugal transfer. Environmental Pollution 359:124592 doi: 10.1016/j.envpol.2024.124592

    CrossRef   Google Scholar

    [48] Ji W, Ma J, Zheng Z, Al-Herrawy AZ, Xie B, et al. 2024. Algae blooms with resistance in fresh water: potential interplay between Microcystis and antibiotic resistance genes. Science of The Total Environment 940:173528 doi: 10.1016/j.scitotenv.2024.173528

    CrossRef   Google Scholar

    [49] Wright GD. 2007. The antibiotic resistome: the nexus of chemical and genetic diversity. Nature Reviews Microbiology 5(3):175−186 doi: 10.1038/nrmicro1614

    CrossRef   Google Scholar

    [50] McGough SF, MacFadden DR, Hattab MW, Mølbak K, Santillana M. 2020. Rates of increase of antibiotic resistance and ambient temperature in Europe: a cross-national analysis of 28 countries between 2000 and 2016. Eurosurveillance 25(45):1900414 doi: 10.2807/1560-7917.ES.2020.25.45.1900414

    CrossRef   Google Scholar

    [51] Paerl HW, Otten TG. 2013. Harmful cyanobacterial blooms: causes, consequences, and controls. Microbial ecology 65:995−1010 doi: 10.1007/s00248-012-0159-y

    CrossRef   Google Scholar

    [52] Huisman J, Codd GA, Paerl HW, Ibelings BW, Verspagen JMH, et al. 2018. Cyanobacterial blooms. Nature Reviews Microbiology 16:471−483 doi: 10.1038/s41579-018-0040-1

    CrossRef   Google Scholar

    [53] Xue X, Wang L, Xing H, Zhao Y, Li X, et al. 2021. Characteristics of phytoplankton-zooplankton communities and the roles in the transmission of antibiotic resistance genes under the pressure of river contamination. Science of The Total Environment 780:146452 doi: 10.1016/j.scitotenv.2021.146452

    CrossRef   Google Scholar

    [54] Mao Y, Fan H, Yao H, Wang C. 2024. Recent progress and prospect of graphitic carbon nitride-based photocatalytic materials for inactivation of Microcystis aeruginosa. Science of The Total Environment 917:170357 doi: 10.1016/j.scitotenv.2024.170357

    CrossRef   Google Scholar

    [55] Rinta-Kanto JM, Ouellette AJA, Boyer GL, Twiss MR, Bridgeman TB, et al. 2005. Quantification of toxic Microcystis spp. during the 2003 and 2004 blooms in western Lake Erie using quantitative real-time PCR. Environmental Science & Technology 39:4198−4205 doi: 10.1021/es048249u

    CrossRef   Google Scholar

    [56] Nayeem J, Dey P, Dey SK, Debi D, Ayoun MA, et al. 2024. A comprehensive dataset on the extraction of pigments from Oscillatoria spp. Data in Brief 52:109972 doi: 10.1016/j.dib.2023.109972

    CrossRef   Google Scholar

    [57] Izaguirre G, Jungblut AD, Neilan BA. 2007. Benthic cyanobacteria (Oscillatoriaceae) that produce microcystin-LR, isolated from four reservoirs in southern California. Water Research 41:492−498 doi: 10.1016/j.watres.2006.10.012

    CrossRef   Google Scholar

    [58] Dordoni M, Tittel J, Rosenlöcher Y, Rinke K, Barth JAC. 2024. Metabolic activity of Planktothrix rubescens and its consequences on oxygen dynamics in laboratory experiment: a stable isotope study. Journal of Phycology 60(3):642−653 doi: 10.1111/jpy.13455

    CrossRef   Google Scholar

    [59] Kahru M, Elmgren R. 2014. Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea. Biogeosciences 11:3619−3633 doi: 10.5194/bg-11-3619-2014

    CrossRef   Google Scholar

    [60] Hameed S, Lawton LA, Edwards C, Khan A, Farooq U, et al. 2017. Effects of temperature and salinity on the production of cell biomass, chlorophyll-a and intra-and extracellular nodularins (NOD) and nodulopeptin 901 produced by Nodularia spumigena KAC 66. Journal of Applied Phycology 29:1801−1810 doi: 10.1007/s10811-017-1115-5

    CrossRef   Google Scholar

    [61] Stumpf RP, Davis TW, Wynne TT, Graham JL, Loftin KA, et al. 2016. Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria. Harmful Algae 54:160−173 doi: 10.1016/j.hal.2016.01.005

    CrossRef   Google Scholar

    [62] Li H, Jiang M, Li P, Xu Z, Jiang P, et al. 2024. Picocyanobacterial-bacterial interactions sustain cyanobacterial blooms in nutrient-limited aquatic environments. Environmental Research 260:119508 doi: 10.1016/j.envres.2024.119508

    CrossRef   Google Scholar

    [63] Ohtani I, Moore RE, Runnegar MTC. 1992. Cylindrospermopsin: a potent hepatotoxin from the blue-green alga Cylindrospermopsis raciborskii. Journal of the American Chemical Society 114:7941−7942 doi: 10.1021/ja00046a067

    CrossRef   Google Scholar

    [64] Krokowski J, Mullen E, Nicolson M, Summers E, Thomson D. 2024. An unusually dense bloom of the cyanobacterium Gloeotrichia echinulata in Loch Watten, a Scottish highland loch, during July 2023. The Glasgow Naturalist 28:30−33 doi: 10.37208/tgn28202

    CrossRef   Google Scholar

    [65] Visentin TG, Guimarães BM, Bastos RG. 2024. Effects of temperature, pH, and C/N ratio of sugarcane wastewater processing (vinasse) on Phormidium autumnale heterotrophic cultivation. Algal Research 77:103349 doi: 10.1016/j.algal.2023.103349

    CrossRef   Google Scholar

    [66] Lu Z, Cai Q, Lai S, Chen N, Huang L, et al. 2024. Coupling of cylindrospermopsin and pho-harboring Verrucomicrobia supports the formation of Raphidiopsis blooms in low-phosphorus waters. Water Research 250:121010 doi: 10.1016/j.watres.2023.121010

    CrossRef   Google Scholar

    [67] Deng D, Meng H, Ma Y, Guo Y, Wang Z, et al. 2024. The cumulative impact of temperature and nitrogen availability on the potential nitrogen fixation and extracellular polymeric substances secretion by Dolichospermum. Harmful Algae 135:102633 doi: 10.1016/j.hal.2024.102633

    CrossRef   Google Scholar

    [68] Fernández R, Pérez M, Losada A, Reboredo S, Gómez-San Juan A, et al. 2024. Isolation and total synthesis of PM170453, a new cyclic depsipeptide isolated from Lyngbya sp. Marine Drugs 22:303 doi: 10.3390/md22070303

    CrossRef   Google Scholar

    [69] Al-Amoudi S, Razali R, Essack M, Amini MS, Bougouffa S, et al. 2016. Metagenomics as a preliminary screen for antimicrobial bioprospecting. Gene 594:248−258 doi: 10.1016/j.gene.2016.09.021

    CrossRef   Google Scholar

    [70] Dias E, Oliveira M, Manageiro V, Vasconcelos V, Caniça M. 2019. Deciphering the role of cyanobacteria in water resistome: hypothesis justifying the antibiotic resistance (phenotype and genotype) in Planktothrix genus. Science of The Total Environment 652:447−454 doi: 10.1016/j.scitotenv.2018.10.167

    CrossRef   Google Scholar

    [71] Xin R, Zhang Y, Zhang K, Yang Y, Ma Y, et al. 2024. Investigation of the antimicrobial susceptibility patterns of marine cyanobacteria in Bohai Bay: cyanobacteria may be important hosts of antibiotic resistance genes in marine environment. The Science of The Total Environment 909:168516 doi: 10.1016/j.scitotenv.2023.168516

    CrossRef   Google Scholar

    [72] Rojas V, Rivas L, Cárdenas C, Guzmán F. 2020. Cyanobacteria and eukaryotic microalgae as emerging sources of antibacterial peptides. Molecules 25:5804 doi: 10.3390/molecules25245804

    CrossRef   Google Scholar

    [73] Woodhouse JN, Kinsela AS, Collins RN, Bowling LC, Honeyman GL, et al. 2016. Microbial communities reflect temporal changes in cyanobacterial composition in a shallow ephemeral freshwater lake. The ISME Journal 10:1337−1351 doi: 10.1038/ismej.2015.218

    CrossRef   Google Scholar

    [74] Gubelit YI. 2022. Studies of lacustrine phytoperiphyton: current trends and prospects considering algae-bacteria interactions. Russian Journal of Ecology 53:478−484 doi: 10.1134/S1067413622060054

    CrossRef   Google Scholar

    [75] Guo Y, Liu M, Liu L, Liu X, Chen H, et al. 2018. The antibiotic resistome of free-living and particle-attached bacteria under a reservoir cyanobacterial bloom. Environment International 117:107−115 doi: 10.1016/j.envint.2018.04.045

    CrossRef   Google Scholar

    [76] Li S, Li X, Chang H, Zhong N, Ren N, et al. 2023. Comprehensive insights into antibiotic resistance gene migration in microalgal-bacterial consortia: mechanisms, factors, and perspectives. Science of The Total Environment 901:166029 doi: 10.1016/j.scitotenv.2023.166029

    CrossRef   Google Scholar

    [77] Bao Y, Ruan Y, Wu J, Wang WX, Leung KMY, et al. 2024. Metagenomics-based microbial ecological community threshold and indicators of anthropogenic disturbances in estuarine sediments. Environmental Science & Technology 58:780−794 doi: 10.1021/acs.est.3c08076

    CrossRef   Google Scholar

    [78] Han SI, Kim S, Choi KY, Lee C, Park Y, et al. 2019. Control of a toxic cyanobacterial bloom species, Microcystis aeruginosa, using the peptide HPA3NT3-A2. Environmental Science and Pollution Research 26:32255−32265 doi: 10.1007/s11356-019-06306-4

    CrossRef   Google Scholar

    [79] Mason CP, Edwards KR, Carlson RE, Pignatello J, Gleason FK, et al. 1982. Isolation of chlorine-containing antibiotic from the freshwater cyanobacterium Scytonema hofmanni. Science 215:400−402 doi: 10.1126/science.6800032

    CrossRef   Google Scholar

    [80] Lin S, Yu X, Fang J, Fan J. 2020. Influences of the micropollutant erythromycin on cyanobacteria treatment with potassium permanganate. Water Research 177:115786 doi: 10.1016/j.watres.2020.115786

    CrossRef   Google Scholar

    [81] Xu S, Jiang Y, Liu Y, Zhang J. 2021. Antibiotic-accelerated cyanobacterial growth and aquatic community succession towards the formation of cyanobacterial bloom in eutrophic lake water. Environmental Pollution 290:118057 doi: 10.1016/j.envpol.2021.118057

    CrossRef   Google Scholar

    [82] dos Santos Costa R, Quadra GR, de Oliveira Souza H, do Amaral VS, Navoni JA. 2021. The link between pharmaceuticals and cyanobacteria: a review regarding ecotoxicological, ecological, and sanitary aspects. Environmental Science and Pollution Research 28:41638−41650 doi: 10.1007/s11356-021-14698-5

    CrossRef   Google Scholar

    [83] Li JJ, Chao JJ, McKay RML, Xu RB, Wang T, et al. 2021. Antibiotic pollution promotes dominance by harmful cyanobacteria: a case study examining norfloxacin exposure in competition experiments. Journal of Phycology 57:677−688 doi: 10.1111/jpy.13133

    CrossRef   Google Scholar

    [84] Carpine R, Sieber S. 2021. Antibacterial and antiviral metabolites from cyanobacteria: their application and their impact on human health. Current Research in Biotechnology 3:65−81 doi: 10.1016/j.crbiot.2021.03.001

    CrossRef   Google Scholar

    [85] Liu Y, Zhang J, Gao B. 2020. Proteomic mechanisms for the stimulatory effects of antibiotics on Microcystis aeruginosa during hydrogen peroxide treatment. Chemosphere 247:125837 doi: 10.1016/j.chemosphere.2020.125837

    CrossRef   Google Scholar

    [86] Chen MY, Teng WK, Zhao L, Hu CX, Zhou YK, et al. 2021. Comparative genomics reveals insights into cyanobacterial evolution and habitat adaptation. The ISME Journal 15:211−227 doi: 10.1038/s41396-020-00775-z

    CrossRef   Google Scholar

    [87] Zhang Y, Liu L, Liu Y, Chen L, Wang J, et al. 2024. Deciphering the natural and anthropogenic drivers on the fate and risk of antibiotics and antibiotic resistance genes (ARGs) in a typical river-estuary system, China. Journal of Hazardous Materials 480:136006 doi: 10.1016/j.jhazmat.2024.136006

    CrossRef   Google Scholar

    [88] Wang Z, Chen Q, Zhang J, Xu H, Miao L, et al. 2024. Climate warming promotes collateral antibiotic resistance development in cyanobacteria. Water Research 256:121642 doi: 10.1016/j.watres.2024.121642

    CrossRef   Google Scholar

    [89] Kovalakova P, Cizmas L, McDonald TJ, Marsalek B, Feng M, et al. 2020. Occurrence and toxicity of antibiotics in the aquatic environment: a review. Chemosphere 251:126351 doi: 10.1016/j.chemosphere.2020.126351

    CrossRef   Google Scholar

    [90] Singh A, Pratap SG, Raj A. 2024. Occurrence and dissemination of antibiotics and antibiotic resistance in aquatic environment and its ecological implications: a review. Environmental Science and Pollution Research 31:47505−47529 doi: 10.1007/s11356-024-34355-x

    CrossRef   Google Scholar

    [91] Pal M, Yadav S, Kapley A, Qureshi A. 2021. Impact of cyanobacterial bloom on microbiomes of freshwater lakes. Journal of Biosciences 46:96 doi: 10.1007/s12038-021-00220-z

    CrossRef   Google Scholar

    [92] Zuo J, Xiao P, Heino J, Tan F, Soininen J, et al. 2024. Eutrophication increases the similarity of cyanobacterial community features in lakes and reservoirs. Water Research 250:120977 doi: 10.1016/j.watres.2023.120977

    CrossRef   Google Scholar

    [93] Unrein F, O'Farrell I, Izaguirre I, Sinistro R, dos Santos Afonso M, et al. 2010. Phytoplankton response to pH rise in a N-limited floodplain lake: relevance of N2-fixing heterocystous cyanobacteria. Aquatic Sciences 72:179−190 doi: 10.1007/s00027-009-0115-1

    CrossRef   Google Scholar

    [94] Reinl KL, Sterner RW, Lafrancois BM, Brovold S. 2020. Fluvial seeding of cyanobacterial blooms in oligotrophic Lake Superior. Harmful Algae 100:101941 doi: 10.1016/j.hal.2020.101941

    CrossRef   Google Scholar

    [95] Zhang M, Yang Z, Shi X, Yu Y. 2022. The synergistic effect of rising temperature and declining light boosts the dominance of bloom-forming cyanobacteria in spring. Harmful Algae 116:102252 doi: 10.1016/j.hal.2022.102252

    CrossRef   Google Scholar

    [96] Xiong JQ, Govindwar S, Kurade MB, Paeng KJ, Roh HS, et al. 2019. Toxicity of sulfamethazine and sulfamethoxazole and their removal by a green microalga, Scenedesmus obliquus. Chemosphere 218:551−558 doi: 10.1016/j.chemosphere.2018.11.146

    CrossRef   Google Scholar

    [97] Pereira AC, Mulligan CN. 2023. Practices for eutrophic shallow lake water remediation and restoration: a critical literature review. Water 15:2270 doi: 10.3390/w15122270

    CrossRef   Google Scholar

    [98] Paerl HW, Huisman J. 2008. Blooms like it hot. Science 320:57−58 doi: 10.1126/science.1155398

    CrossRef   Google Scholar

    [99] Chapra SC, Boehlert B, Fant C, Bierman VJ Jr, Henderson J, et al. 2017. Climate change impacts on harmful algal blooms in US freshwaters: a screening-level assessment. Environmental Science & Technology 51:8933−8943 doi: 10.1021/acs.est.7b01498

    CrossRef   Google Scholar

    [100] Lukhele T, Msagati TAM. 2024. Eutrophication of inland surface waters in South Africa: an overview. International Journal of Environmental Research 18:27 doi: 10.1007/s41742-024-00568-8

    CrossRef   Google Scholar

    [101] Czatzkowska M, Wolak I, Harnisz M, Korzeniewska E. 2022. Impact of anthropogenic activities on the dissemination of ARGs in the environment—a review. International Journal of Environmental Research and Public Health 19:12853 doi: 10.3390/ijerph191912853

    CrossRef   Google Scholar

    [102] Fairbairn DJ, Karpuzcu ME, Arnold WA, Barber BL, Kaufenberg EF, et al. 2016. Sources and transport of contaminants of emerging concern: a two-year study of occurrence and spatiotemporal variation in a mixed land use watershed. Science of The Total Environment 551:605−613 doi: 10.1016/j.scitotenv.2016.02.056

    CrossRef   Google Scholar

    [103] Jiang JQ, Zhou Z, Sharma VK. 2013. Occurrence, transportation, monitoring and treatment of emerging micro-pollutants in waste water—a review from global views. Microchemical Journal 110:292−300 doi: 10.1016/j.microc.2013.04.014

    CrossRef   Google Scholar

    [104] McGowan S, Anderson NJ, Edwards ME, Langdon PG, Jones VJ, et al. 2016. Long-term perspectives on terrestrial and aquatic carbon cycling from palaeolimnology. WIREs Water 3:211−234 doi: 10.1002/wat2.1130

    CrossRef   Google Scholar

    [105] Noguera-Oviedo K, Aga DS. 2016. Lessons learned from more than two decades of research on emerging contaminants in the environment. Journal of Hazardous Materials 316:242−251 doi: 10.1016/j.jhazmat.2016.04.058

    CrossRef   Google Scholar

    [106] Pal A, He Y, Jekel M, Reinhard M, Gin KYH. 2014. Emerging contaminants of public health significance as water quality indicator compounds in the urban water cycle. Environment International 71:46−62 doi: 10.1016/j.envint.2014.05.025

    CrossRef   Google Scholar

    [107] Gavrilescu M, Demnerová K, Aamand J, Agathos S, Fava F. 2015. Emerging pollutants in the environment: present and future challenges in biomonitoring, ecological risks and bioremediation. New Biotechnology 32:147−156 doi: 10.1016/j.nbt.2014.01.001

    CrossRef   Google Scholar

    [108] Usman Qamar M, Aatika. 2023. Impact of climate change on antimicrobial resistance dynamics: an emerging One Health challenge. Future Microbiology 18(9):535−539 doi: 10.2217/fmb-2023-0022

    CrossRef   Google Scholar

    [109] Yu Q, Han Q, Shi S, Sun X, Wang X, et al. 2023. Metagenomics reveals the response of antibiotic resistance genes to elevated temperature in the Yellow River. Science of The Total Environment 859:160324 doi: 10.1016/j.scitotenv.2022.160324

    CrossRef   Google Scholar

    [110] Wang X, Shi K, Zhang Y, Qin B, Zhang Y, et al. 2023. Climate change drives rapid warming and increasing heatwaves of lakes. Science Bulletin 68:1574−1584 doi: 10.1016/j.scib.2023.06.028

    CrossRef   Google Scholar

    [111] Priya AK, Muruganandam M, Rajamanickam S, Sivarethinamohan S, Gaddam MKR, et al. 2023. Impact of climate change and anthropogenic activities on aquatic ecosystem – a review. Environmental Research 238:117233 doi: 10.1016/j.envres.2023.117233

    CrossRef   Google Scholar

    [112] Manna B, Jay E, Zhang W, Zhou X, Lyu B, et al. 2024. Short-term warming induces cyanobacterial blooms and antibiotic resistance in freshwater lake, as revealed by metagenomics analysis. Water 16:2655 doi: 10.3390/w16182655

    CrossRef   Google Scholar

    [113] Lee K, Kim DW, Lee DH, Kim YS, Bu JH, et al. 2020. Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance. Microbiome 8:2 doi: 10.1186/s40168-019-0774-7

    CrossRef   Google Scholar

    [114] Lotze HK, Tittensor DP, Bryndum-Buchholz A, Eddy TD, Cheung WWL, et al. 2019. Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change. Proceedings of the National Academy of Sciences of the United States of America 116:12907−12912 doi: 10.1073/pnas.1900194116

    CrossRef   Google Scholar

    [115] Li Z, Sun A, Liu X, Chen QL, Bi L, et al. 2022. Climate warming increases the proportions of specific antibiotic resistance genes in natural soil ecosystems. Journal of Hazardous Materials 430:128442 doi: 10.1016/j.jhazmat.2022.128442

    CrossRef   Google Scholar

    [116] Yang J, Yu Q, Su W, Wang S, Wang X, et al. 2023. Metagenomics reveals that temperature predicts a small proportion of antibiotic resistomes and mobile genetic elements in polluted water. Environmental Pollution 317:120793 doi: 10.1016/j.envpol.2022.120793

    CrossRef   Google Scholar

    [117] O'Neil JM, Davis TW, Burford MA, Gobler CJ. 2012. The rise of harmful cyanobacteria blooms: the potential roles of eutrophication and climate change. Harmful Algae 14:313−334 doi: 10.1016/j.hal.2011.10.027

    CrossRef   Google Scholar

    [118] Yang Y, Tilman D, Jin Z, Smith P, Barrett CB, et al. 2024. Climate change exacerbates the environmental impacts of agriculture. Science 385:eadn3747 doi: 10.1126/science.adn3747

    CrossRef   Google Scholar

    [119] Xin R, Zhang K, Yu D, Zhang Y, Ma Y, et al. 2023. Cyanobacterial extracellular antibacterial substances could promote the spread of antibiotic resistance: impacts and reasons. Environmental Science: Processes & Impacts 25:2139−2147 doi: 10.1039/d3em00306j

    CrossRef   Google Scholar

  • Cite this article

    Yu Y, Niu Z, Zhao Y, Li S, Zhang Y, et al. 2026. An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems. Biocontaminant 2: e004 doi: 10.48130/biocontam-0026-0001
    Yu Y, Niu Z, Zhao Y, Li S, Zhang Y, et al. 2026. An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems. Biocontaminant 2: e004 doi: 10.48130/biocontam-0026-0001

Figures(3)  /  Tables(1)

Article Metrics

Article views(52) PDF downloads(19)

Review   Open Access    

An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems

Biocontaminant  2 Article number: e004  (2026)  |  Cite this article

Abstract: Cyanobacteria are integral components of freshwater ecosystems. As prokaryotes, they can harbor antibiotic resistance genes (ARGs); however, the co-occurrence patterns between specific ARGs and cyanobacteria observed in metagenomic data remain challenging to interpret. This review synthesizes current evidence by integrating qualitative assessment, bibliometric trend analysis, and a conceptual framework to examine cyanobacteria–ARG interactions and their modulating drivers, such as climatic variation, anthropogenic pressures, environmental factors, and microbial interdependencies. Two principal findings are identified: cyanobacteria function both as carriers of ARGs and as ecological regulators, and many documented cyanobacteria–shared environmental drivers influence ARG relationships. The review highlights the need for taxon-resolved quantitative datasets, mechanistic studies of ARG-mediated cyanobacterial resilience, and cross-system comparisons utilizing multi-omics and predictive modeling. Advancing these research directions will improve understanding of cyanobacteria–ARG linkages and enhance risk assessment in the context of global warming and increasing anthropogenic impact.

    • The widespread use of antibiotics in clinical, agricultural, and aquaculture settings has led to the accumulation of antibiotic resistance genes (ARGs) in anthropogenically impacted environments[15]. Their cross-species and cross-regional transmission has driven the globalization of antimicrobial resistance (AMR), posing a substantial threat to global public health[68]. In 2015, antibiotic-resistant bacteria (ARBs) were responsible for 671,689 infections and over 33,000 annual deaths[9]. In 2021, AMR was associated with 4.7 million deaths, with 1.14 million directly attributable cases[10]. Without coordinated policy intervention, antibiotic consumption is projected to double by 2030, further intensifying the environmental burden of ARGs[11,12].

      Anthropogenically impacted freshwater ecosystems are important reservoirs of ARGs in the environment, as they receive continuous inputs from wastewater, agricultural runoff, and aquaculture effluents[1316]. These systems not only support biodiversity and human life but are also highly susceptible to microbial pollution and ecological disruption[1719]. Recent studies suggest that cyanobacteria may play a role in the dynamics of ARGs in freshwater ecosystems[2022]. Under conditions of nutrient enrichment and climate-induced thermal stratification, cyanobacteria have become increasingly dominant in freshwater systems[23,24]. Large-scale cyanobacterial harmful algal blooms (CyanoHABs) have become more frequent and severe, affecting over 20,000 lakes and ~57% of global lake surface area[25,26].

      Cyanobacteria share genetic and physiological traits with other bacteria, allowing interactions with ARGs[27,28]. Emerging evidence suggests cyanobacteria play dual roles in ARGs dynamics[2935]. On the one hand, they can facilitate ARG propagation via mobile genetic elements (MGEs)[36], extracellular polymeric substances (EPS)[37,38], and the formation of microhabitats such as the phycosphere[36,3943]. Quorum-sensing (QS) systems add another layer of regulation, modulating both ARGs expression and HGT efficiency, thereby potentially accelerating resistance propagation in aquatic environments[44]. On the other hand, they may suppress ARGs' dissemination by altering community structure, inhibiting conjugation, or producing antimicrobial metabolites[4548]. Additionally, ARGs acquisition may enhance cyanobacterial resistance under antibiotic pressure, further complicating bloom dynamics[49,50].

      Existing studies report inconsistent conclusions regarding the relationships between cyanobacteria and ARGs, mainly attributable to differences in spatial scales and environmental contexts. In particular, it remains unclear under which environmental conditions cyanobacteria primarily function as ARG carriers or ecological regulators, or whether they simultaneously perform both roles, and how environmental drivers and microbial interactions jointly shape these patterns. By synthesizing current evidence on environmental drivers and microbial interactions, this review aims to clarify the complex coupling mechanisms between cyanobacteria and ARGs in freshwater ecosystems, identify key sources of uncertainty, and provide an integrated perspective to support future research and management of co-occurring CyanoHABs and ARGs risks.

    • To systematically characterize the current research landscape and emerging trends concerning cyanobacteria-ARGs relationships, a bibliometric analysis was conducted using global publication data retrieved primarily from the ISI Web of Science database, with literature identified through keyword combinations related to cyanobacteria, antibiotic resistance genes, and freshwater environments (detailed literature search strategy and inclusion criteria are provided in Supplementary Texts S1 and S2, with screening criteria summarized in Supplementary Table S1). The analysis emphasized the number of publications, temporal trends, and knowledge gaps within freshwater ecosystems (Fig. 1ac).

      Figure 1. 

      Mapping the global co-occurrence patterns of eutrophication and ARGs based on cyanobacteria-ARGs-related studies and database integration. Global publication analysis on cyanobacteria and ARGs research: (a) Global distribution of publications related to cyanobacteria and ARGs. (b) Annual publication trends on cyanobacteria, ARGs, and their interactions in freshwater ecosystems. (c) Keyword co-occurrence network highlighting major research themes in the international literature.

      As shown in Fig. 1a, among the 164 countries assessed, 117 published 2,089 articles on ARGs, while 118 published 6,829 articles on cyanobacteria. These findings highlight widespread scientific interest in both topics, particularly amid growing concerns about freshwater contamination and public health risks. Figure 1b presents the publication trends from 2010 to 2023. While research on cyanobacteria and ARGs individually continues to rise, studies explicitly addressing their relationship remain limited, with only 35 publications identified. Nonetheless, this number has shown steady growth, suggesting increasing recognition of the topic's significance. Keyword co-occurrence network analysis (Fig. 1c) revealed that current cyanobacteria-ARG research predominantly focuses on tetracycline- and sulfonamide-resistance genes. Environmental variables and anthropogenic activities emerged as key drivers shaping their interaction. However, most existing studies rely on relative abundance data, with limited efforts to quantify both cyanobacteria and ARGs in absolute terms. In addition, the potential influences of climate-related and anthropogenic stressors on their relationship remain insufficiently explored. It should be noted that this bibliometric analysis is inherently influenced by database coverage, keyword selection, and language restrictions, and therefore reflects dominant research trends rather than an exhaustive representation of all relevant studies.

      Based on the detailed analysis of 35 existing studies on the relationships between cyanobacteria and ARGs, this study identified and categorized several major interaction patterns (Supplementary Fig. S1). Evidence for cyanobacteria facilitating ARG dissemination was reported in 45.7% of the studies, while 14.3% reported inhibitory effects, and 17.1% classified cyanobacteria as potential ARG hosts. Additionally, 8.6% of studies documented feedback effects of ARGs on cyanobacterial community structure, while 14.3% proposed more complex bidirectional mechanisms that remain to be fully elucidated. In terms of research targets, 53.8% of the studies focused on cyanobacteria at the phylum level. At the genus level, the most frequently studied taxa were toxin-producing cyanobacteria Microcystis (25.6%) and Planktothrix (5.1%) (Supplementary Fig. S2). Figure 2 summarizes co-occurrence patterns between various cyanobacterial genera and ARG types, revealing non-uniform interaction modes that vary depending on cyanobacterial taxonomy and ARGs class (see Supplementary Table S2 for detailed conclusions).

      Figure 2. 

      Summary of interaction types and conclusions derived from current literature on cyanobacteria-ARGs relationships.

    • With the intensification of global climate change and anthropogenic disturbances, the interactions between cyanobacteria and ARGs have become increasingly complex. Table 1 summarizes the key physiological and ecological traits of common cyanobacterial genera. These traits not only enhance the environmental adaptability of cyanobacteria in freshwater environments but also play a critical role in the dissemination of ARGs. Figure 3 illustrates the mechanisms of interaction between cyanobacteria and ARGs. For clarity, the mechanisms discussed below are supported by different levels of evidence, ranging from laboratory and mesocosm experiments to field observations and omics-based associations. A summary of the coupling mechanisms and their corresponding levels of evidence is provided in Supplementary Table S3.

      Table 1.  Common bloom-forming cyanobacterial genera in freshwater ecosystems

      Cyanobacterial genus Physiological traits and ecological functions Mechanisms of interaction with ARGs
      Anabaena Produces microcystins (MCs), anatoxins, or cylindrospermopsin. Capable of nitrogen fixation and can withstand low nitrogen environments[51,52]. 1. MCs can induce oxidative stress in bacteria, leading to the generation of reactive oxygen species (ROS), which subsequently stimulate lysozyme activity and alter bacterial membrane permeability. Increased membrane permeability is considered one of the key factors that enhance the efficiency of ARGs transfer[30,53].
      2. Neurotoxins may disrupt bacterial transmembrane potential, thereby increasing membrane permeability and facilitating the transformation of ARGs.
      3. Extracellular polysaccharides secreted by toxin-producing strains can serve as carriers for ARGs transfer, while also acting as physical barriers that protect ARBs from antibiotic exposure.
      4. During algal blooms, large amounts of dissolved organic matter (DOM) are released, providing carbon sources for heterotrophic bacteria carrying ARGs. Meanwhile, DOM may influence HGT among bacteria through QS mechanisms.
      5. Cyanobacteria may suppress the spread of ARGs by competing with ARG-hosting bacteria for resources, thereby reducing the abundance of ARG-hosting bacteria.
      Microcystis Production of MCs and anatoxins often forms harmful algal blooms[54,55].
      Oscillatoria Some species produce MCs or neurotoxins, which are widely distributed[56,57].
      Planktothrix Produces MCs, widespread in freshwater lakes[58].
      Nodularia Some species produce Nodularin or MCs, and nodularin inhibits protein phosphatase synthesis[59,60].
      Aphanizomenon Capable of nitrogen fixation, often forming large-scale algal blooms, can produce MCs[52,61].
      Cylindrospermopsis Nitrogen fixation, production of cylindrospermopsin or MCs by some species[62,63].
      Gloeotrichia Forms buoyant clusters capable of nitrogen fixation and can produce MCs[64].
      Phormidium Some species produce neurotoxins[65].
      Raphidiopsis Some species produce toxic substances[66].
      Dolichospermum Capable of nitrogen fixation[67].
      Lyngbya Some species produce toxic substances[68].

      Figure 3. 

      Mechanisms of interactions between cyanobacteria and ARGs.

    • In recent years, increasing evidence has shown that cyanobacteria can act as key reservoirs and carriers of ARGs in aquatic environments[29]. For example, in sediment samples collected along the coast of Saudi Arabia, cyanobacteria were identified as a phylum harboring AMR-related genetic sequences, as determined by metagenomic analyses[69]. Typical bloom-forming cyanobacteria, such as Microcystis and Planktothrix, have been found to harbor large numbers of tetracycline- and sulfonamide-resistance genes, which can be disseminated via both extracellular DNA (eDNA) and intracellular DNA (iDNA), as evidenced by metagenomic analyses complemented by quantitative PCR validation[35]. Similarly, multiple ARGs have been detected in cyanobacterial strains isolated from Portuguese reservoirs using culture-dependent molecular screening[70].

      The mechanisms by which cyanobacteria act as carriers of ARGs may involve multiple processes. First, under selective pressure from antibiotic contamination, cyanobacteria may activate intrinsic tolerance mechanisms, thereby increasing their ability to acquire or retain ARGs. Second, cyanobacteria have the potential to act as carriers of ARGs, as their genomes harbor MGEs such as transposons and plasmids[22,34]. Certain cyanobacterial species may acquire ARGs from the surrounding environment through HGT[71]; for example, Synechococcus and Phormidium have been shown to acquire ARGs via phage-mediated transfer[45]. These genomic features suggest that cyanobacteria are not only capable of acquiring exogenous ARGs but may also serve as long-term reservoirs.

      During dense bloom events such as CyanoHABs, frequent cell-to-cell contact among cyanobacterial populations facilitates HGT processes such as plasmid conjugation, significantly enhancing the intra-population spread of ARGs. This provides further evidence of the host potential of cyanobacteria in the dissemination of ARGs[47]. Additionally, the mechanisms underlying ARGs' carriage in cyanobacteria are influenced by multiple factors, including species-specific traits, physiological states, environmental conditions, and the composition of co-occurring microbial communities[45]. These complex interactions remain poorly understood. Future studies should focus on the species-specific mechanisms by which cyanobacteria acquire and disseminate ARGs in different environments, highlighting their role as carriers of ARGs.

    • During CyanoHABs in certain regions, the abundance and diversity of ARGs have been observed to increase significantly, particularly in eutrophic waters. Bloom-forming cyanobacteria such as Microcystis and Planktothrix play a pivotal role in the dissemination of ARGs, not merely as carriers, but also by facilitating HGT and shaping microbial and environmental conditions conducive to ARG spread.

      Cyanobacteria promote the spread of ARGs through multiple mechanisms. Firstly, they can enhance the rate of HGT, thereby facilitating the dissemination of ARGs. For instance, significantly elevated HGT activity has been reported during Planktothrix blooms[50]. MCs produced by Microcystis can disrupt cellular signaling pathways, induce oxidative stress, increase membrane permeability, and cause DNA damage, all of which can promote HGT processes[48]. Metagenomic analyses have revealed that Microcystis-dominated blooms are associated with elevated abundance and diversity of both ARGs and MGEs, suggesting that Microcystis may foster conditions favorable to the dissemination of ARGs in aquatic environments[22].

      Secondly, experimentally demonstrated cyanobacteria may indirectly facilitate the spread of ARGs by altering microbial community composition. Cyanobacteria produce a variety of bioactive compounds, including macrolides, alkaloids, indole alkaloids, polyphenols, and terpenes[72], which can exert selective pressure within the microbial ecosystem, enriching ARBs and thereby promoting the accumulation and transmission of ARGs[46]. Certain ARG-carrying taxa, such as Actinobacteriota and Proteobacteria, can also utilize decaying cyanobacterial biomass as a carbon source, leading to increased abundance during the post-CyanoHABs period[73].

      Moreover, the metabolic activity and signaling pathways of cyanobacteria may contribute to the dissemination of ARGs. Cyanobacterial metabolites and exudates may form complex chemical signaling networks that mediate interactions between microbes and ARGs, further enhancing ARGs transfer[74]. For example, cyanobacteria may regulate plasmid conjugation and transposon activity through QS. Under environmental stress, acyl-homoserine lactones can activate LuxI/LuxS signaling pathways, increasing the efficiency of ARGs exchange between cyanobacteria and associated microbial communities[44].

    • Although many studies have demonstrated the role of cyanobacteria in promoting the dissemination of ARGs, opposing evidence suggests that cyanobacteria may also suppress the spread of ARGs through various pathways. On one hand, the rapid proliferation of cyanobacteria in aquatic systems can significantly alter physicochemical parameters and microbial community structures, creating environmental stress that negatively affects ARBs. For example, during CyanoHAB events, the abundance of ARGs in both free-living and particle-attached bacteria was significantly reduced, with ARG-carrying functional groups in particle-attached bacteria being more strongly affected[75]. This indicates that bacterial lifestyle (free-living vs particle-attached) may mediate differential responses to cyanobacterial blooms.

      On the other hand, in contrast to Microcystis, some cyanobacterial genera exhibit a negative correlation with MGEs, suggesting that these taxa may suppress HGT and reduce ARGs abundance in aquatic environments[22]. Additionally, it has been reported that algal–bacterial consortia can secrete large quantities of maleimides, which inhibit ARGs dissemination by interfering with the replication of exogenous plasmids. However, the environmental thresholds that control this process remain unclear[76]. A microbial interaction modeling approach proposed by Bao et al. provides a quantitative tool for assessing such processes[77]. By quantifying the degree of cyanobacterial interference with microbial communities, this approach may support more predictive assessments of ecological risks associated with ARGs.

      These findings suggest that different cyanobacterial taxa, under varying environmental conditions, may influence ARGs dynamics through mechanisms such as community disruption, resource competition, and metabolic inhibition. Future studies should examine diverse nutrient regimes and environmental stressors across different water types and cyanobacterial community structures, while differentiating bacterial lifestyles. Such efforts may help uncover key regulatory pathways and critical thresholds for cyanobacteria-mediated ARGs dissemination.

    • Certain antibiotics have been reported to exert algicidal effects on cyanobacteria, acting as inhibitors under specific conditions[78,79]. However, cyanobacteria can display remarkable environmental adaptability in response to such stressors[80]. Studies have shown that cyanobacteria may acquire ARGs from surrounding ARBs, enhancing their survival under antibiotic pressure[50]. Antibiotic-resistant cyanobacterial populations may expand through several adaptive strategies: (1) leveraging resistance advantages to inhibit or outcompete susceptible algal species[8183]; (2) absorbing intracellular organic matter released from dead competitors as nutrient sources; and (3) selectively enriching symbiotic bacteria capable of vitamin biosynthesis and pollutant degradation, thereby forming more stable microbial consortia that further facilitate interspecies ARGs transfer[81]. This resistance-driven ecological advantage not only increases the frequency of CyanoHAB outbreaks but also promotes the evolution of resistance traits through sustained gene accumulation and positive selection.

      The effects of antibiotics on cyanobacteria vary substantially with concentration. Owing to the hormesis effect, low concentrations of antibiotics may stimulate cyanobacterial growth and toxin production while simultaneously enhancing ARGs expression and transfer, thereby accelerating the development of AMR in cyanobacterial populations[81,8488]. In contrast, high antibiotic concentrations can cause photosystem-specific damage in Microcystis, inhibiting cell growth and protein synthesis, potentially suppressing bloom formation[75,89,90]. This nonlinear dose-response relationship suggests the existence of ecological thresholds in cyanobacteria-ARGs interactions, beyond which the direction of ecological feedback may shift. However, systematic studies are lacking to unravel the coupled and cascading effects among antibiotic types and concentrations, cyanobacterial community structures, and ARGs dynamics.

      The ecological advantage conferred by acquired ARGs not only enhances the competitive and dispersal capacities of cyanobacteria but also contributes to more frequent and persistent harmful algal blooms. The coexistence of ARGs and cyanobacteria may pose emerging threats to downstream ecosystems and human populations in urbanized regions[51,91]. Although the potential role of ARGs in enhancing cyanobacterial environmental resistance has been recognized, their underlying molecular mechanisms and regulatory networks remain to be fully elucidated.

    • The interaction between cyanobacteria and ARGs is a complex environmental issue. Investigating the roles of environmental factors, anthropogenic activities, and climate change in shaping this interaction is essential to elucidate the underlying mechanisms across different ecological levels. Such insights can inform the development of targeted prevention and control strategies, reduce the occurrence of CyanoHABs and ARGs pollution, and ultimately contribute to protecting aquatic ecosystem health and public safety.

    • Natural factors such as nutrient concentrations, temperature, pH, light intensity, and hydrodynamic conditions form the fundamental basis for regulating both cyanobacterial proliferation and the dissemination of ARGs. These parameters not only independently affect cyanobacteria and ARGs, but also shape the ecological context in which their interactions occur.

      Nitrogen and phosphorus are key determinants of eutrophication levels and cyanobacterial biomass in freshwater ecosystems[26]. When TN:TP < 25, cyanobacteria tend to dominate, whereas higher ratios favor the growth of green algae and diatoms[23]. Such shifts in community composition can indirectly regulate ARGs dynamics by altering microbial assemblages, interspecies interactions, and the prevalence of cyanobacterial genera with differing ARGs association potentials. Nutrient levels can also influence the composition of cyanobacterial genera; in eutrophic waters, Microcystis, Planktothrix, Raphidiopsis, and Dolichospermum often dominate, potentially increasing their association with ARGs[92]. Eutrophication has been shown to significantly enhance the dissemination potential of ARGs within microbial communities[50].

      Temperature is another major driver of both cyanobacterial growth and ARGs behavior. Beyond promoting bloom formation, elevated temperatures increase microbial metabolic activity and the frequency of gene exchange events, thereby enhancing ARG dissemination in aquatic environments[26,52]. Moreover, rising temperatures can accelerate the evolution of AMR in cyanobacteria; for example, when the temperature increases from 16 to 36 °C, the level of genotypic resistance may increase by up to 295-fold[88].

      Physicochemical parameters such as pH, conductivity, and water transparency not only influence cyanobacterial growth, but also modulate the microenvironmental conditions that shape cyanobacteria–ARGs interactions. For example, weakly alkaline conditions (pH 8.0–8.5) favor cyanobacterial proliferation and may enhance extracellular polymer production, creating niches conducive to ARGs retention and HGT[93]. Elevated conductivity, reflecting higher ionic strength, can alter microbial community structure and increase cell membrane permeability, potentially facilitating the exchange of ARGs. Reduced water transparency, by enhancing light-use efficiency, may promote dense bloom formation and microbial aggregation, thereby stabilizing ARGs reservoirs[94,95]. Additionally, low wind speed, hypoxia, and stratified water columns limit environmental disturbance and oxygenation, creating stable conditions that may further promote ARGs persistence and interaction with CyanoHABs[96].

    • Anthropogenic activities, particularly agriculture, industrialization, and urbanization, have emerged as key drivers of intensified interactions between cyanobacteria and ARGs in freshwater ecosystems[97]. Agricultural non-point source pollution and municipal wastewater discharge have markedly increased nitrogen and phosphorus concentrations in surface waters, providing a nutrient-rich foundation for rapid cyanobacterial expansion[98100]. The proliferation of cyanobacteria creates highly active ecological niches that facilitate close interactions with microbial communities, enhancing the HGT of ARGs among microorganisms[101].

      The direct release of antibiotics and ARGs is another major pathway through which human activities influence cyanobacteria-ARGs interactions[102106]. Antibiotics used in livestock farming, medical treatment, and household applications often enter aquatic systems through wastewater discharge. These inputs not only exert selective pressure on cyanobacteria but also lead to the rapid accumulation of ARGs in the environment[36]. Uncontrolled sources such as septic tank leakage, damaged sewage pipelines, and leachate from landfills further contribute to a complex network of ARGs inputs into aquatic environments[106,107]. In response to antibiotic and chemical stressors, bacteria have evolved diverse resistance mechanisms and can transfer ARGs via HGT to other microorganisms, including cyanobacteria[29].

      In summary, anthropogenic activities accelerate the environmental accumulation of ARGs not only through direct pollutant inputs but also by altering environmental conditions that favor cyanobacterial growth and ARG dissemination. This dual impact poses a significant risk to the stability of aquatic ecosystems and public health, warranting greater scientific and regulatory attention.

    • Global climate change, particularly rising temperatures and increasingly frequent extreme weather events, has emerged as an important driver influencing the interaction between cyanobacteria and ARGs[88,108]. Temperature increases can reshape aquatic microbial community composition, often leading to shifts in the relative abundance of cyanobacteria, heterotrophic bacteria, and antibiotic-resistant bacteria, thereby altering ARGs dynamics at the community level. Metagenomic analyses from temperature-controlled experiments have shown that warming can significantly reduce ARGs diversity while increasing their overall abundance, suggesting heightened resistance risks under global warming scenarios[50,109].

      Under high greenhouse gas emission scenarios, the mean annual surface temperature of lakes is projected to rise by approximately 2.2 °C by the end of the century[110]. This warming trend is expected to exacerbate eutrophication, increase algal biomass, and degrade water quality, thereby enhancing both cyanobacterial proliferation and ARGs dissemination[111]. In many freshwater systems, warming favors cyanobacteria over other phytoplankton and microbial groups, increasing their relative dominance and the frequency of bloom events, which in turn strengthens their role as potential ARG carriers and interaction hubs. Even moderate warming (2–5 °C) has been found to promote the spread of toxic cyanobacteria and antimicrobial resistance[112]. Furthermore, global warming indirectly intensifies oxidative stress among aquatic microorganisms, facilitating cyanobacterial growth and increasing ARGs transfer, thus compounding ecological risks to freshwater systems[52,112]. Climate change may also accelerate the HGT of ARGs within ARB populations[113,114]. These processes suggest that increases in cyanobacterial abundance represent a key pathway linking warming to ARGs dynamics, alongside temperature-driven changes in resistant bacterial populations and microbial interaction networks.

      High-temperature conditions also favor the production of cyanotoxins, the proliferation of ARGs and aquatic pathogens, and longer-lasting, more intense CyanoHABs[115117]. Importantly, climate change may indirectly influence ARGs transmission pathways by altering agricultural practices, including increased pesticide and antibiotic use[118]. In naturally multidrug-exposed environments, elevated temperatures may further accelerate the evolution of antimicrobial resistance in cyanobacterial populations[88].

      In the face of the intertwined 'Climate-CyanoHABs-ARGs' challenge, quantitative assessments from local to global scales are urgently needed. Priority should be given to integrated management strategies that yield both ecological and societal co-benefits, such as enhanced nutrient control, ecological restoration, and stricter regulation of pesticide and antibiotic usage.

    • The complex interactions among microorganisms, particularly involving symbiosis, competition, and metabolic cooperation, play a critical role in shaping microecological environments and influencing the dynamics between cyanobacteria and ARGs[50]. Studies have shown that HGT of ARGs between free-living microalgae and bacteria occurs at low frequencies. In contrast, mutualistic interactions between microalgae (e.g., green algae) and their associated bacteria can stimulate the production of antimicrobial compounds and create chemically selective environments that favor the enrichment of ARGs. Similar mechanisms are hypothesized to exist in cyanobacterial symbiotic networks, potentially altering the accumulation and dissemination of ARGs[119].

      During bloom events, cyanobacteria and their associated microbes often form complex interspecies aggregates, such as algal flocs and biofilms, which provide a stable microhabitat for ARBs[36]. These microenvironments promote ARBs survival and increase the likelihood of ARGs exchange via HGT by enhancing physical contact among microbial cells. Microbial aggregation and metabolic cooperation within these micro-niches contribute to ARGs persistence and facilitate their transfer[43].

      However, microbial ecological relationships are not limited to cooperation; competitive interactions also occur. Such contradictory outcomes may arise from interspecific differences among cyanobacteria (e.g., Microcystis, Planktothrix, and Anabaena exhibit distinct environmental responses) as well as from variations in microbial community composition, nutrient levels, and the intensity of antibiotic pollution.

      Overall, microbial ecological interactions are likely to be dynamic, context-dependent, and shaped by multiple biotic and abiotic factors. Future research should focus on elucidating the mechanisms underlying cyanobacteria-ARG host interactions, identifying key environmental drivers that modulate symbiosis-competition transitions, and uncovering the true influence of these complex microbial networks on the potential for ARG dissemination.

    • Experimental studies and field observations indicate that cyanobacteria and antibiotic resistance genes (ARGs) interact in complex ways within freshwater ecosystems. The nature of these interactions differs among cyanobacterial taxa and ARG types, and is further influenced by climate change, environmental factors, and microbial community succession. A deeper mechanistic understanding of cyanobacteria–ARG dynamics is essential for public health protection, effective water resource management, and mitigation of antimicrobial resistance. Despite recent advances, significant knowledge gaps remain, necessitating targeted research in the following areas:

      (1) Current studies predominantly rely on relative ARGs abundance analyses, with limited attention to precise, taxon-specific correlations between cyanobacterial genera and absolute ARGs abundances. As a result, most existing evidence reflects spatiotemporal co-variation rather than direct causal relationships. Quantitative, spatiotemporally matched investigations across local to global scales are needed to disentangle the combined effects of climate change, human activities, and microbial community restructuring on cyanobacteria–ARGs interactions.

      (2) The effects of ARGs on cyanobacterial population dynamics, community structure, and ecological functions remain poorly understood. Future work should integrate long-term monitoring with multifactorial experiments to clarify these bidirectional interactions.

      (3) The lack of comprehensive databases encompassing diverse geographic regions, climatic conditions, and waterbody types hinders mechanistic insights into their coupling effects and potential cascading impacts. Constructing multidimensional knowledge frameworks linking environmental parameters (e.g., water quality, anthropogenic pressures), cyanobacterial traits, and ARGs profiles could reveal their coevolutionary patterns and inform management strategies.

      (4) Given the stark differences in cyanobacterial community composition, environmental adaptability, and microbial interactions across habitats (e.g., marine systems, wetlands), systematic comparisons of cyanobacteria-ARGs dynamics in disparate ecosystems are essential to generalize their environmental behaviors.

      • The authors confirm their contributions to this review as follows: Yang Yu: data collection and cleaning, generated all figures and tables and wrote the first draft of the manuscript; Zhiguang Niu: developed the initial concept and provided research funds; Yifan Zhao: contributed to the revision and proofreading of this paper; Shuaiyi Li: contributed to the revision and proofreading of this paper; Ying Zhang: contributed to the revision and proofreading of this paper; Chenchen Wang: developed the initial concept. All authors reviewed the results and approved the final version of the manuscript.

      • This study was supported by the National Natural Science Foundation of China (Grant Nos 42477409 and 42277374).

      • The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

      • Full list of author information is available at the end of the article.

      • Copyright: © 2026 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (3)  Table (1) References (119)
  • About this article
    Cite this article
    Yu Y, Niu Z, Zhao Y, Li S, Zhang Y, et al. 2026. An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems. Biocontaminant 2: e004 doi: 10.48130/biocontam-0026-0001
    Yu Y, Niu Z, Zhao Y, Li S, Zhang Y, et al. 2026. An integrated conceptual framework of coupling mechanisms between cyanobacteria and antibiotic resistance genes in freshwater ecosystems. Biocontaminant 2: e004 doi: 10.48130/biocontam-0026-0001

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return