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2025 Volume 1
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REVIEW   Open Access    

Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world

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

  • Received: 11 October 2025
    Revised: 23 November 2025
    Accepted: 25 November 2025
    Published online: 18 December 2025
    Biocontaminant  1 Article number: e021 (2025)  |  Cite this article
  • Glaciers are a potential reservoir of ARGs.

    A systematic comparison reveals ARGs distribution across major glacial regions.

    Future studies should focus on ARGs transmission along the glacier continuum.

    Focus is needed on downstream risks from ARGs released by glacier melt under climate change.

  • Antibiotic resistance genes (ARGs) are biocontaminants that pose a growing threat to environmental and public health, a challenge further intensified by the impacts of climate change on glaciers. Glaciers act not only as exceptional natural archives preserving microbial communities and ARGs for thousands to millions of years, but also as critical upstream sources for freshwater systems. The release of ARGs from glaciers into downstream freshwater environments raises serious concerns because glacier-fed rivers and lakes function as essential ecological and drinking water resources across high-altitude and polar regions. Although ancient antibiotic resistance has long existed in natural environments, how ARGs are transformed and disseminated along the glacier continuum remains poorly understood. This review synthesizes current knowledge on the characteristics, sources, transmission pathways, and potential ecological and health risks of ARGs in the glacier continuum. Importantly, this review highlights a key conceptual gap: existing studies typically treat distinct glacier habitats in isolation, failing to consider them as an integrated system. We therefore propose the glacier continuum, emphasizing that glacier surface ice, proglacial streams, and downstream lakes collectively shape the transport and transformation of ARGs. Moreover, developing early-warning frameworks based on the toxicological responses of aquatic biota will be crucial for assessing and mitigating the ecological risks posed by glacier-released ARGs. These integrative approaches are crucial for mitigating emerging risks and protecting these fragile and relatively pristine environments under a warming climate.
    Graphical Abstract
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  • [1] Sanderson H, Fricker C, Brown RS, Majury A, Liss SN. 2016. Antibiotic resistance genes as an emerging environmental contaminant. Environmental Reviews 24:205−218 doi: 10.1139/er-2015-0069

    CrossRef   Google Scholar

    [2] Levy SB, Marshall B. 2004. Antibacterial resistance worldwide: causes, challenges and responses. Nature Medicine 10:S122−S129 doi: 10.1038/nm1145

    CrossRef   Google Scholar

    [3] Djordjevic SP, Jarocki VM, Seemann T, Cummins ML, Watt AE, et al. 2024. Genomic surveillance for antimicrobial resistance—a One Health perspective. Nature Reviews Genetics 25:142−157 doi: 10.1038/s41576-023-00649-y

    CrossRef   Google Scholar

    [4] Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, et al. 2021. Climate change 2021: the physical science basis. Intergovernmental Panel On Climate Change 2:2391 doi: 10.1017/9781009157896

    CrossRef   Google Scholar

    [5] Caruso G, Rizzo C. 2025. Cryosphere microbial communities as a reservoir of hidden risks to human and ecosystem's health. Microbiological Research 299:128261 doi: 10.1016/j.micres.2025.128261

    CrossRef   Google Scholar

    [6] Lennon JT, Frost SDW, Nguyen NK, Peralta AL, Place AR, et al. 2023. Microbiology and climate change: a transdisciplinary imperative. mBio 14:e03335-22 doi: 10.1128/mbio.03335-22

    CrossRef   Google Scholar

    [7] Wu Z, Mao G, Gou Y, Ji M, Ma Q, et al. 2025. Profiles and risk assessment of antibiotic resistome between Qinghai-Xizang Plateau and polar regions. Geography and Sustainability 6:100342 doi: 10.1016/j.geosus.2025.100342

    CrossRef   Google Scholar

    [8] Thajudeen J, Venkatachalam S, Vipindas PV. 2025. Antibiotic resistome in the glacier forelands of polar regions. Applied and Environmental Microbiology 91:e00762-25 doi: 10.1128/aem.00762-25

    CrossRef   Google Scholar

    [9] Liu K, Liu Y, Hu A, Wang F, Zhang Z, et al. 2021. Fate of glacier surface snow-originating bacteria in the glacier-fed hydrologic continuums. Environmental Microbiology 23:6450−6462 doi: 10.1111/1462-2920.15788

    CrossRef   Google Scholar

    [10] Sajjad W, Rafiq M, Din G, Hasan F, Iqbal A, et al. 2020. Resurrection of inactive microbes and resistome present in the natural frozen world: Reality or myth? Science of The Total Environment 735:139275 doi: 10.1016/j.scitotenv.2020.139275

    CrossRef   Google Scholar

    [11] Scott LC, Lee N, Aw TG. 2020. Antibiotic resistance in minimally human-impacted environments. International Journal of Environmental Research and Public Health 17:3939 doi: 10.3390/ijerph17113939

    CrossRef   Google Scholar

    [12] Yao T, Thompson L, Yang W, Yu W, Gao Y, et al. 2012. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Climate Change 2:663−667 doi: 10.1038/nclimate1580

    CrossRef   Google Scholar

    [13] Rantanen M, Karpechko AY, Lipponen A, Nordling K, Hyvärinen O, et al. 2022. The Arctic has warmed nearly four times faster than the globe since 1979. Communications Earth & Environment 3:168 doi: 10.1038/s43247-022-00498-3

    CrossRef   Google Scholar

    [14] Xie X, Chen B, Zhu S, Yang R, Yuan K, et al. 2024. Comparative analysis of characteristics of antibiotic resistomes between Arctic soils and representative contaminated samples using metagenomic approaches. Journal of Hazardous Materials 469:133943 doi: 10.1016/j.jhazmat.2024.133943

    CrossRef   Google Scholar

    [15] Liu S, Wang P, Wang X, Chen J. 2021. Ecological insights into the elevational biogeography of antibiotic resistance genes in a pristine river: metagenomic analysis along the Yarlung Tsangpo River on the Tibetan Plateau. Environmental Pollution 286:117101 doi: 10.1016/j.envpol.2021.117101

    CrossRef   Google Scholar

    [16] Ren Z, Gao H. 2024. Antibiotic resistance genes in integrated surface ice, cryoconite, and glacier-fed stream in a mountain glacier in Central Asia. Environment International 184:108482 doi: 10.1016/j.envint.2024.108482

    CrossRef   Google Scholar

    [17] D'Costa VM, King CE, Kalan L, Morar M, Sung WW, et al. 2011. Antibiotic resistance is ancient. Nature 477:457−461 doi: 10.1038/nature10388

    CrossRef   Google Scholar

    [18] Baquero F, Martinez JL, Lanza VF, Rodríguez-Beltrán J, Galán JC, et al. 2021. Evolutionary pathways and trajectories in antibiotic resistance. Clinical Microbiology Reviews 34:e00050-19 doi: 10.1128/CMR.00050-19

    CrossRef   Google Scholar

    [19] Marcoleta AE, Varas MA, Costa J, Rojas-Salgado J, Arros P, et al. 2021. Mapping the microbial diversity and natural resistome of North Antarctica soils. Microbiology 2005:442734 doi: 10.1101/2021.05.05.442734

    CrossRef   Google Scholar

    [20] Van Goethem MW, Pierneef R, Bezuidt OKI, Van De Peer Y, Cowan DA, et al. 2018. A reservoir of 'historical'antibiotic resistance genes in remote pristine Antarctic soils. Microbiome 6:40 doi: 10.1186/s40168-018-0424-5

    CrossRef   Google Scholar

    [21] Mao G, Ji M, Jiao N, Su J, Zhang Z, et al. 2023. Monsoon affects the distribution of antibiotic resistome in Tibetan glaciers. Environmental Pollution 317:120809 doi: 10.1016/j.envpol.2022.120809

    CrossRef   Google Scholar

    [22] Liao X, Hou L, Zhang L, Grossart HP, Liu K, et al. 2024. Distinct influences of altitude on microbiome and antibiotic resistome assembly in a glacial river ecosystem of Mount Everest. Journal of Hazardous Materials 479:135675 doi: 10.1016/j.jhazmat.2024.135675

    CrossRef   Google Scholar

    [23] Zhao R, Yu K, Zhang J, Zhang G, Huang J, et al. 2020. Deciphering the mobility and bacterial hosts of antibiotic resistance genes under antibiotic selection pressure by metagenomic assembly and binning approaches. Water Research 186:116318 doi: 10.1016/j.watres.2020.116318

    CrossRef   Google Scholar

    [24] Chen H, Liu C, Teng Y, Zhang Z, Chen Y, et al. 2021. Environmental risk characterization and ecological process determination of bacterial antibiotic resistome in lake sediments. Environment International 147:106345 doi: 10.1016/j.envint.2020.106345

    CrossRef   Google Scholar

    [25] Kim H, Kim M, Kim S, Lee YM, Shin SC. 2022. Characterization of antimicrobial resistance genes and virulence factor genes in an Arctic permafrost region revealed by metagenomics. Environmental Pollution 294:118634 doi: 10.1016/j.envpol.2021.118634

    CrossRef   Google Scholar

    [26] Edwards A. 2015. Coming in from the cold: potential microbial threats from the terrestrial cryosphere. Frontiers in Earth Science 3:12 doi: 10.3389/feart.2015.00012

    CrossRef   Google Scholar

    [27] Vishnupriya S, Jabir T, Akhil Prakash E, Mohamed Hatha AA. 2024. Antibiotic resistance of heterotrophic bacteria from the sediments of adjoining high Arctic fjords, Svalbard. Brazilian Journal of Microbiology 55(3):2371−2383 doi: 10.1007/s42770-024-01368-0

    CrossRef   Google Scholar

    [28] Zhu Y, Liu S, Wei J, Wu K, Bolch T, et al. 2025. Glacier-level and gridded mass change in river sources in the eastern Tibetan Plateau region (ETPR) from the 1970s to 2000. Earth System Science Data 17:1851−1871 doi: 10.5194/essd-17-1851-2025

    CrossRef   Google Scholar

    [29] Keen PL, Patrick DM. 2013. Tracking change: a look at the ecological footprint of antibiotics and antimicrobial resistance. Antibiotics 2:191−205 doi: 10.3390/antibiotics2020191

    CrossRef   Google Scholar

    [30] Li LG, Huang Q, Yin X, Zhang T. 2020. Source tracking of antibiotic resistance genes in the environment—challenges, progress, and prospects. Water Research 185:116127 doi: 10.1016/j.watres.2020.116127

    CrossRef   Google Scholar

    [31] Sherpa MT, Najar IN, Das S, Thakur N. 2020. Distribution of antibiotic and metal resistance genes in two glaciers of North Sikkim, India. Ecotoxicology and Environmental Safety 203:111037 doi: 10.1016/j.ecoenv.2020.111037

    CrossRef   Google Scholar

    [32] Makowska N, Zawierucha K, Nadobna P, Piątek-Bajan K, Krajewska A, et al. 2020. Occurrence of integrons and antibiotic resistance genes in cryoconite and ice of Svalbard, Greenland, and the Caucasus glaciers. Science of The Total Environment 716:137022 doi: 10.1016/j.scitotenv.2020.137022

    CrossRef   Google Scholar

    [33] Chen B, Yuan K, Chen X, Yang Y, Zhang T, et al. 2016. Metagenomic analysis revealing antibiotic resistance genes (ARGs) and their genetic compartments in the Tibetan environment. Environmental Science & Technology 50:6670−6679 doi: 10.1021/acs.est.6b00619

    CrossRef   Google Scholar

    [34] Perron GG, Whyte L, Turnbaugh PJ, Goordial J, Hanage WP, et al. 2015. Functional characterization of bacteria isolated from ancient arctic soil exposes diverse resistance mechanisms to modern antibiotics. PLoS One 10:e0069533 doi: 10.1371/journal.pone.0069533

    CrossRef   Google Scholar

    [35] Sajjad W, Rafiq M, Din G, Hasan F, Iqbal A, et al. 2020. Resurrection of inactive microbes and resistome present in the natural frozen world: reality or myth? Science of The Total Environment 737:40107 doi: 10.1016/j.scitotenv.2020.140107

    CrossRef   Google Scholar

    [36] Yuan K, Yu K, Yang R, Zhang Q, Yang Y, et al. 2019. Metagenomic characterization of antibiotic resistance genes in Antarctic soils. Ecotoxicology and Environmental Safety 176:300−308 doi: 10.1016/j.ecoenv.2019.03.099

    CrossRef   Google Scholar

    [37] Diaz KS, Rich VI, Mclain JE. 2017. Searching for antibiotic resistance genes in a pristine arctic wetland. Journal of Contemporary Water Research & Education 160:42−59 doi: 10.1111/j.1936-704X.2017.03239.x

    CrossRef   Google Scholar

    [38] Zhang S, Yang G, Hou S, Zhang T, Li Z, et al. 2018. Distribution of ARGs and MGEs among glacial soil, permafrost, and sediment using metagenomic analysis. Environmental Pollution 234:339−346 doi: 10.1016/j.envpol.2017.11.031

    CrossRef   Google Scholar

    [39] Shen JP, Li ZM, Hu HW, Zeng J, Zhang LM, et al. 2019. Distribution and succession feature of antibiotic resistance genes along a soil development chronosequence in Urumqi No. 1 glacier of China. Frontiers in Microbiology 10:1569 doi: 10.3389/fmicb.2019.01569

    CrossRef   Google Scholar

    [40] Kashuba E, Dmitriev AA, Kamal SM, Melefors O, Griva G, et al. 2017. Ancient permafrost staphylococci carry antibiotic resistance genes. Microbial Ecology in Health and Disease 28:1345574 doi: 10.1080/16512235.2017.1345574

    CrossRef   Google Scholar

    [41] Wei STS, Higgins CM, Adriaenssens EM, Cowan DA, Pointing SB. 2015. Genetic signatures indicate widespread antibiotic resistance and phage infection in microbial communities of the McMurdo Dry Valleys, East Antarctica. Polar Biology 38:919−925 doi: 10.1007/s00300-015-1649-4

    CrossRef   Google Scholar

    [42] McCann CM, Christgen B, Roberts JA, Su JQ, Arnold KE, et al. 2019. Understanding drivers of antibiotic resistance genes in High Arctic soil ecosystems. Environment International 125:497−504 doi: 10.1016/j.envint.2019.01.034

    CrossRef   Google Scholar

    [43] Tan L, Li L, Ashbolt N, Wang X, Cui Y, et al. 2018. Arctic antibiotic resistance gene contamination, a result of anthropogenic activities and natural origin. Science of the Total Environment 621:1176−1184 doi: 10.1016/j.scitotenv.2017.10.110

    CrossRef   Google Scholar

    [44] Wang F, Stedtfeld RD, Kim OS, Chai B, Yang L, et al. 2016. Influence of soil characteristics and proximity to antarctic research stations on abundance of antibiotic resistance genes in soils. Environmental Science & Technology 50:12621−12629 doi: 10.1021/acs.est.6b02863

    CrossRef   Google Scholar

    [45] Miller RV, Gammon K, Day MJ. 2009. Antibiotic resistance among bacteria isolated from seawater and penguin fecal samples collected near Palmer Station, Antarctica. Canadian Journal of Microbiology 55:37−45 doi: 10.1139/w08-119

    CrossRef   Google Scholar

    [46] Krumperman PH. 1983. Multiple antibiotic resistance indexing of Escherichia coli to identify high-risk sources of fecal contamination of foods. Applied and Environmental Microbiology 46:165−170 doi: 10.1128/aem.46.1.165-170.1983

    CrossRef   Google Scholar

    [47] Hernández J, González-Acuña D. 2016. Anthropogenic antibiotic resistance genes mobilization to the polar regions. Infection Ecology & Epidemiology 6:32112 doi: 10.3402/iee.v6.32112

    CrossRef   Google Scholar

    [48] Rousham EK, Unicomb L, Islam MA. 2018. Human, animal and environmental contributors to antibiotic resistance in low-resource settings: integrating behavioural, epidemiological and One Health approaches. Proceedings of the Royal Society B: Biological Sciences 285:20180332 doi: 10.1098/rspb.2018.0332

    CrossRef   Google Scholar

    [49] Wu D, Van Goethem MW, Graham DW, Zhang X, Li Z, et al. 2025. Antarctic environmental resistomes closely associated with human and animal waste releases. Environmental Science & Technology 59:22832−22841 doi: 10.1021/acs.est.5c06023

    CrossRef   Google Scholar

    [50] Jara D, Bello-Toledo H, Domínguez M, Cigarroa C, Fernández P, et al. 2020. Antibiotic resistance in bacterial isolates from freshwater samples in Fildes Peninsula, King George Island, Antarctica. Scientific Reports 10:3145 doi: 10.1038/s41598-020-60035-0

    CrossRef   Google Scholar

    [51] Pinilla G, Muñoz L, Gallego EA, Chavarro B, Fandiño J. 2006. Pre Presencia de Integrones Clase 1 en Aislamientos de Staphylococcus epidermidis de las unidades de neonatología del Instituto Materno Infantil de Bogotá. Nova 4:55−59 doi: 10.22490/24629448.361

    CrossRef   Google Scholar

    [52] Karkman A, Pärnänen K, Joakim Larsson DG. 2019. Fecal pollution can explain antibiotic resistance gene abundances in anthropogenically impacted environments. Nature Communications 10:80 doi: 10.1038/s41467-018-07992-3

    CrossRef   Google Scholar

    [53] Dancer SJ, Shears P, Platt DJ. 1997. Isolation and characterization of coliforms from glacial ice and water in Canada's High Arctic. Journal of Applied Microbiology 82:597−609 doi: 10.1111/j.1365-2672.1997.tb03590.x

    CrossRef   Google Scholar

    [54] Mogrovejo DC, Perini L, Gostinčar C, Sepčić K, Turk M, et al. 2020. Prevalence of antimicrobial resistance and hemolytic phenotypes in culturable arctic bacteria. Frontiers in Microbiology 11:570 doi: 10.3389/fmicb.2020.00570

    CrossRef   Google Scholar

    [55] Bonnedahl J, Hernandez J, Stedt J, Waldenström J, Olsen B, et al. 2014. Extended-Spectrum β-Lactamases in Escherichia coli and Klebsiella pneumoniae in Gulls, Alaska, USA. Emerging Infectious Diseases 20:897−899 doi: 10.3201/eid2005.130325

    CrossRef   Google Scholar

    [56] Mir RA, Weppelmann TA, Johnson JA, Archer D, Morris JG, et al. 2016. Identification and characterization of cefotaxime resistant bacteria in beef cattle. PLoS One 11:e0163279 doi: 10.1371/journal.pone.0163279

    CrossRef   Google Scholar

    [57] Yang Y, Li B, Zou S, Fang HHP, Zhang T. 2014. Fate of antibiotic resistance genes in sewage treatment plant revealed by metagenomic approach. Water Research 62:97−106 doi: 10.1016/j.watres.2014.05.019

    CrossRef   Google Scholar

    [58] Yang Y, Liu G, Ye C, Liu W. 2019. Bacterial community and climate change implication affected the diversity and abundance of antibiotic resistance genes in wetlands on the Qinghai-Tibetan Plateau. Journal of Hazardous Materials 361:283−293 doi: 10.1016/j.jhazmat.2018.09.002

    CrossRef   Google Scholar

    [59] Blair JMA, Webber MA, Baylay AJ, Ogbolu DO, Piddock LJV. 2015. Molecular mechanisms of antibiotic resistance. Nature Reviews Microbiology 13:42−51 doi: 10.1038/nrmicro3380

    CrossRef   Google Scholar

    [60] Segawa T, Takeuchi N, Rivera A, Yamada A, Yoshimura Y, et al. 2013. Distribution of antibiotic resistance genes in glacier environments. Environmental Microbiology Reports 5:127−134 doi: 10.1111/1758-2229.12011

    CrossRef   Google Scholar

    [61] Petrova M, Kurakov A, Shcherbatova N, Mindlin S. 2014. Genetic structure and biological properties of the first ancient multiresistance plasmid pKLH80 isolated from a permafrost bacterium. Journal of General Microbiology 160:2253−2263 doi: 10.1099/mic.0.079335-0

    CrossRef   Google Scholar

    [62] Soucy SM, Huang J, Gogarten JP. 2015. Horizontal gene transfer: building the web of life. Nature Reviews Genetics 16:472−482 doi: 10.1038/nrg3962

    CrossRef   Google Scholar

    [63] Zhang B, Yang R, Liu Y, Guo J, Yang J, et al. 2025. From glacier forelands to human settlements: patterns, environmental drivers, and risks of antibiotic resistance genes. Journal of Hazardous Materials 494:138455 doi: 10.1016/j.jhazmat.2025.138455

    CrossRef   Google Scholar

    [64] Li N, Lin Z, Wang H, Niu F, Fan X, et al. 2024. Inventory of active rock glaciers and their distribution characteristics on the Qinghai-Tibet Plateau and its adjacent mountainous regions. Geomorphology 467:109468 doi: 10.1016/j.geomorph.2024.109468

    CrossRef   Google Scholar

    [65] Makowska-Zawierucha N, Trzebny A, Zawierucha K, Manthapuri V, Bradley JA, et al. 2024. Arctic plasmidome analysis reveals distinct relationships among associated antimicrobial resistance genes and virulence genes along anthropogenic gradients. Global Change Biology 30:e17293 doi: 10.1111/gcb.17293

    CrossRef   Google Scholar

    [66] Bell TH, Callender KL, Whyte LG, Greer CW. 2013. Microbial competition in polar soils: a review of an understudied but potentially important control on productivity. Biology 2:533−554 doi: 10.3390/biology2020533

    CrossRef   Google Scholar

    [67] Levin-Reisman I, Ronin I, Gefen O, Braniss I, Shoresh N, et al. 2017. Antibiotic tolerance facilitates the evolution of resistance. Science 355:826−830 doi: 10.1126/science.aaj2191

    CrossRef   Google Scholar

    [68] Okubo T, Ae R, Noda J, Iizuka Y, Usui M, et al. 2019. Detection of the Sul2–strA–strB gene cluster in an ice core from Dome Fuji Station, East Antarctica. Journal of Global Antimicrobial Resistance 17:72−78 doi: 10.1016/j.jgar.2018.11.005

    CrossRef   Google Scholar

    [69] Van Boeckel TP, Gandra S, Ashok A, Caudron Q, Grenfell BT, et al. 2014. Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data. The Lancet Infectious Diseases 14:742−750 doi: 10.1016/S1473-3099(14)70780-7

    CrossRef   Google Scholar

    [70] Hwengwere K, Paramel Nair H, Hughes KA, Peck LS, Clark MS, et al. 2022. Antimicrobial resistance in Antarctica: is it still a pristine environment? Microbiome 10:71 doi: 10.1186/s40168-022-01250-x

    CrossRef   Google Scholar

    [71] Bisaccia M, Berini F, Marinelli F, Binda E. 2025. Emerging trends in antimicrobial resistance in polar aquatic ecosystems. Antibiotics 14:394 doi: 10.3390/antibiotics14040394

    CrossRef   Google Scholar

    [72] Liu S, Wang P, Wang C, Wang X, Chen J. 2021. Anthropogenic disturbances on antibiotic resistome along the Yarlung Tsangpo River on the Tibetan Plateau: ecological dissemination mechanisms of antibiotic resistance genes to bacterial pathogens. Water Research 202:117447 doi: 10.1016/j.watres.2021.117447

    CrossRef   Google Scholar

    [73] Rafiq M, Hayat M, Zada S, Sajjad W, Hassan N, et al. 2019. Geochemistry and bacterial recovery from Hindu Kush range glacier and their potential for metal resistance and antibiotic production. Geomicrobiology Journal 36:326−338 doi: 10.1080/01490451.2018.1551947

    CrossRef   Google Scholar

    [74] Kallenborn R, Brorström-Lundén E, Reiersen LO, Wilson S. 2018. Pharmaceuticals and personal care products (PPCPs) in Arctic environments: indicator contaminants for assessing local and remote anthropogenic sources in a pristine ecosystem in change. Environmental Science and Pollution Research 25:33001−33013 doi: 10.1007/s11356-017-9726-6

    CrossRef   Google Scholar

    [75] Ben Y, Fu C, Hu M, Liu L, Wong MH, et al. 2019. Human health risk assessment of antibiotic resistance associated with antibiotic residues in the environment: a review. Environmental Research 169:483−493 doi: 10.1016/j.envres.2018.11.040

    CrossRef   Google Scholar

    [76] Pan Y, Zeng J, Li L, Yang J, Tang Z, et al. 2020. Coexistence of antibiotic resistance genes and virulence factors deciphered by large-scale complete genome analysis. mSystems 5:e00821-19 doi: 10.1128/mSystems.00821-19

    CrossRef   Google Scholar

    [77] Sajjad W, Ilahi N, Haq A, Shang Z, Nabi G, et al. 2024. Bacteria populating freshly appeared supraglacial lake possess metals and antibiotic-resistant genes. Environmental Research 247:118288 doi: 10.1016/j.envres.2024.118288

    CrossRef   Google Scholar

    [78] Pei R, Kim SC, Carlson KH, Pruden A. 2006. Effect of river landscape on the sediment concentrations of antibiotics and corresponding antibiotic resistance genes (ARG). Water Research 40:2427−2435 doi: 10.1016/j.watres.2006.04.017

    CrossRef   Google Scholar

    [79] Li B, Yang Y, Ma L, Ju F, Guo F, et al. 2015. Metagenomic and network analysis reveal wide distribution and co-occurrence of environmental antibiotic resistance genes. The ISME Journal 9:2490−2502 doi: 10.1038/ismej.2015.59

    CrossRef   Google Scholar

    [80] Fitzpatrick D, Walsh F. 2016. Antibiotic resistance genes across a wide variety of metagenomes. FEMS Microbiology Ecology 92:fiv168 doi: 10.1093/femsec/fiv168

    CrossRef   Google Scholar

    [81] Haley E, Cockerill FR, Pesano RL, Festa RA, Luke N, et al. 2024. Pooled antibiotic susceptibility testing performs within CLSI standards for validation when measured against broth microdilution and disk diffusion antibiotic susceptibility testing of cultured isolates. Antibiotics 13:1214 doi: 10.3390/antibiotics13121214

    CrossRef   Google Scholar

    [82] Van Holm W, Ghesquière J, Boon N, Verspecht T, Bernaerts K, et al. 2021. A viability quantitative pcr dilemma: are longer amplicons better? Applied and Environmental Microbiology 87:e02653-20 doi: 10.1128/AEM.02653-20

    CrossRef   Google Scholar

    [83] Fan L, Chen C, Zhang H, Zeng Y, Li T, et al. 2025. Atmospheric detection, prevalence, transmission, health and ecological consequences of antibiotic resistance genes and resistant bacteria: a comprehensive review. Emerging Contaminants 11:100514 doi: 10.1016/j.emcon.2025.100514

    CrossRef   Google Scholar

    [84] Quince C, Walker AW, Simpson JT, Loman NJ, Segata N. 2017. Shotgun metagenomics, from sampling to analysis. Nature Biotechnology 35:833–844 doi: 10.1038/nbt.3935

    CrossRef   Google Scholar

    [85] Alcock BP, Raphenya AR, Lau TTY, Tsang KK, Bouchard M, et al. 2020. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Research 48:D517−D525 doi: 10.1093/nar/gkz935

    CrossRef   Google Scholar

    [86] Bickhart DM, Kolmogorov M, Tseng E, Portik DM, Korobeynikov A, et al. 2022. Generating lineage-resolved, complete metagenome-assembled genomes from complex microbial communities. Nature Biotechnology 40:711−719 doi: 10.1038/s41587-021-01130-z

    CrossRef   Google Scholar

    [87] Straneo F, Sutherland DA, Stearns L, Catania G, Heimbach P, et al. 2019. The case for a sustained greenland ice sheet-ocean observing system (GrIOOS). Frontiers in Marine Science 6:138 doi: 10.3389/fmars.2019.00138

    CrossRef   Google Scholar

    [88] Cauvy-Fraunié S, Andino P, Espinosa R, Calvez R, Jacobsen D, et al. 2016. Ecological responses to experimental glacier-runoff reduction in alpine rivers. Nature Communications 7:12025 doi: 10.1038/ncomms12025

    CrossRef   Google Scholar

    [89] Knapp CW, Lima L, Olivares-Rieumont S, Bowen E, Werner D, et al. 2012. Seasonal variations in antibiotic resistance gene transport in the Almendares River, Havana, Cuba. Frontiers in Microbiology 3:396 doi: 10.3389/fmicb.2012.00396

    CrossRef   Google Scholar

    [90] McConnell MM, Hansen LT, Neudorf KD, Hayward JL, Jamieson RC, et al. 2018. Sources of antibiotic resistance genes in a rural river system. Journal of Environmental Quality 47:997−1005 doi: 10.2134/jeq2017.12.0477

    CrossRef   Google Scholar

    [91] Liang J, Mao G, Yin X, Ma L, Liu L, et al. 2020. Identification and quantification of bacterial genomes carrying antibiotic resistance genes and virulence factor genes for aquatic microbiological risk assessment. Water Research 168:115160 doi: 10.1016/j.watres.2019.115160

    CrossRef   Google Scholar

    [92] Hu A, Wang H, Li J, Mulla SI, Qiu Q, et al. 2020. Homogeneous selection drives antibiotic resistome in two adjacent sub-watersheds, China. Journal of Hazardous Materials 398:122820 doi: 10.1016/j.jhazmat.2020.122820

    CrossRef   Google Scholar

    [93] Zhu YG, Zhao Y, Li B, Huang CL, Zhang SY, et al. 2017. Continental-scale pollution of estuaries with antibiotic resistance genes. Nature Microbiology 2:16270 doi: 10.1038/nmicrobiol.2016.270

    CrossRef   Google Scholar

    [94] Zhu D, Ding J, Wang YF, Zhu YG. 2022. Effects of trophic level and land use on the variation of animal antibiotic resistome in the soil food web. Environmental Science & Technology 56:14937−14947 doi: 10.1021/acs.est.2c00710

    CrossRef   Google Scholar

    [95] Gao FZ, He LY, Liu YS, Zhao JL, Zhang T, et al. 2024. Integrating global microbiome data into antibiotic resistance assessment in large rivers. Water Research 250:121030 doi: 10.1016/j.watres.2023.121030

    CrossRef   Google Scholar

  • Cite this article

    Ying H, Zhang Y, Hu W, Wu W, Mao G. 2025. Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world. Biocontaminant 1: e021 doi: 10.48130/biocontam-0025-0022
    Ying H, Zhang Y, Hu W, Wu W, Mao G. 2025. Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world. Biocontaminant 1: e021 doi: 10.48130/biocontam-0025-0022

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Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world

Biocontaminant  1 Article number: e021  (2025)  |  Cite this article

Abstract: Antibiotic resistance genes (ARGs) are biocontaminants that pose a growing threat to environmental and public health, a challenge further intensified by the impacts of climate change on glaciers. Glaciers act not only as exceptional natural archives preserving microbial communities and ARGs for thousands to millions of years, but also as critical upstream sources for freshwater systems. The release of ARGs from glaciers into downstream freshwater environments raises serious concerns because glacier-fed rivers and lakes function as essential ecological and drinking water resources across high-altitude and polar regions. Although ancient antibiotic resistance has long existed in natural environments, how ARGs are transformed and disseminated along the glacier continuum remains poorly understood. This review synthesizes current knowledge on the characteristics, sources, transmission pathways, and potential ecological and health risks of ARGs in the glacier continuum. Importantly, this review highlights a key conceptual gap: existing studies typically treat distinct glacier habitats in isolation, failing to consider them as an integrated system. We therefore propose the glacier continuum, emphasizing that glacier surface ice, proglacial streams, and downstream lakes collectively shape the transport and transformation of ARGs. Moreover, developing early-warning frameworks based on the toxicological responses of aquatic biota will be crucial for assessing and mitigating the ecological risks posed by glacier-released ARGs. These integrative approaches are crucial for mitigating emerging risks and protecting these fragile and relatively pristine environments under a warming climate.

    • Antibiotic resistance genes (ARGs) are regarded as biocontaminants due to their transmissibility, heritability, and potential risks to human health[1]. The widespread occurrence of antibiotic-resistant bacteria (ARB) and ARGs has been increasingly recognized as a critical threat to global public health[2,3]. Accelerated climate change is reshaping Earth's environmental systems by driving global temperature increases, triggering large-scale glacier melting, and contributing to rising sea levels[4]. Meanwhile, the spatial extent of human activities has progressively expanded, encroaching upon remote and previously pristine environments[5]. The stresses arising from global change (including climate change and anthropogenic activities) have profoundly influenced the composition and function of microbial communities and may further contribute to the development and evolution of bacterial antibiotic resistance and virulence factors (VFs)[6,7]. Viewed through the One Health framework, the convergence of global change and stress resistance highlights the urgent need to integrate environmental, animal, and human health considerations to develop effective strategies to mitigate microbial drug resistance[8].

      Global change is severely impacting the glacier continuum, a connected sequence of environments influenced by glacier meltwater that extends from the glacier itself to downstream ecosystems[9]. Glaciers, which preserve microorganisms and genetic material under extreme cold, low-nutrient, and low-light conditions[10,11], are now warming at rates several times higher than the global average[12,13]. This rapid warming destabilizes long-standing microbial and genetic archives. The accelerated release of ancient microbes, potential pathogens, and ARGs from glacier meltwater raises increasing concerns about their downstream impacts[14]. Crucially, as meltwater flows through the glacier continuum, it transports microbial communities and resistance genes across interconnected aquatic habitats, thereby transforming localized ARG reservoirs into dynamic dissemination pathways.

      Despite the growing recognition of ARGs in glacial environments, existing studies seldom regard different glacier habitats as a unified, connected ecological system. Most research isolates supraglacial ice, cryoconite, rivers, or lakes as separate units[15,16], leaving the spatiotemporal dynamics of ARG transmission along the glacier continuum poorly characterized. This represents a significant knowledge gap because glacier-fed freshwater ecosystems serve as critical water sources and ecological hubs in both polar and high-altitude regions.

      Microbial communities inhabiting glaciers represent valuable genetic repositories for exploring ancient, naturally occurring antibiotic resistance predating the antibiotic era[1719]. Resistance determinants in glacial bacteria are acquired through natural selection and mainly disseminated through vertical inheritance[20] and horizontal gene transfer[21,22]. Compared to anthropogenically impacted environments, glaciers exhibited a relatively low abundance of ARGs[7]. The expansion of human activities may enhance the spread of ARGs within glacial microorganisms. Investigating ARG profiles in remote natural environments could provide valuable insights into the evolution of antimicrobial-resistant bacteria. Growing evidence also shows that mobile genetic elements (MGEs) and VFs co-occur with ARGs in polar and Xizang glaciers[2325], raising concerns about the emergence of multi-resistant and potentially pathogenic strains under warming conditions[26,27]. As glacier meltwater is a primary freshwater source for many regions[28], elucidating ARG transport, transformation, and co-selection along the glacier continuum is essential for assessing microbial risks within the One Health context.

      Here, a comprehensive review is provided that: (1) synthesizes current knowledge on the occurrence, diversity, source, and dissemination mechanisms of ARGs in glaciers under the influence of global change; (2) highlights the importance and necessity of viewing glacier-connected habitats as an integrated system; (3) proposes future research directions for ARG surveillance and risk assessment within the One Health framework.

    • The recognition of ARGs as biocontaminants due to their ability to persist in diverse environments and their potential to negatively impact the environment and pose risks to human health. Antibiotic resistance is a natural, ancient evolutionary phenomenon that predates human use of antibiotics[17]. However, the prevalence, development, and spread of resistance to modern antibiotics have been too rapid and widespread to be attributed solely to spontaneous mutations[1,29]. Unlike traditional chemical pollutants, ARGs are biological entities embedded within microbial genomes or MGEs. Their capacity to spread via horizontal gene transfer (HGT) enables resistance traits to rapidly disseminate among microbial communities, including opportunistic and pathogenic bacteria, thereby elevating the risk of antimicrobial resistance-associated infections[30].

      Furthermore, ARGs can remain stable in soils, sediments, and cold environments such as glaciers and permafrost for extended periods[8]. Such persistence raises concerns about the re-emergence of ancient ARGs driven by climate change, including glacier retreat and permafrost thaw. With glacial meltwater increasingly contributing to downstream freshwater systems, the potential spread of ARGs into drinking water resources intensifies global health risks. Therefore, the release of ARGs from glaciers into the environment emphasized the need to study and monitor these environments.

    • Recently, several studies have revealed the high prevalence of resistomes and ARBs in glacial environments[20,31,32]. A total of 1,248 studies on ARG profiles in the glacier were obtained in this study. The annual number of publications from 1980 to 2025 is shown in Fig. 1a. Over the last 15 years, the number of research reports on ARGs in the field of glaciers has rapidly increased. The increase in the number of publications fitted in the quadratic equation (R2 = 0.9827; Fig. 1b). Generally, surveys of ARGs have surged in the past 15 years, which has attracted wide attention from researchers. Table 1 summarizes the ARG gene types, resistance mechanisms, and drug classes in glacial environments worldwide. Genes encoding β-lactamases, bacitracin, and glycopeptides were enriched in glacial environments[3135]. Notably, the distribution and characteristics of ARGs differ among glaciers due to variations in geographic location and environmental conditions.

      Figure 1. 

      (a) Number of documents at each stage of the screening process. (b) Development trend of papers and research fields from 1980 to 2025.

      Table 1.  Examples of ARGs, resistance mechanisms, and drug classes detected in glacial environments worldwide

      Class Mechanism type Gene type Location Approach Ref.
      Aminocoumarin Drug efflux mdtB King George Island, West Antarctica Metagenomic analysis [36]
      mdtC Abisko, Sweden Metagenomic analysis [37]
      Aminoglycosides Drug inactivation aac, ant Mackay Glacier, South Victoria Land, Antarctica Metagenomic analysis [20]
      aac, aph Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      aac(6')-Ib3, aph(2')-Id Tianshan Mountain Urumqi No.1 glacier Metagenomic analysis [39]
      Drug efflux amrB King George Island, West Antarctica Metagenomic analysis [36]
      Beta-lactam Drug efflux acrB, mexB, tolC Lake Namco, Qiangyong glacier, Xizang Metagenomic analysis [33]
      Drug inactivation Class A: bla(GES, VEB, NPS, CTX, PSE);
      Class C: bla(EC);
      Class D: bla(OXA)
      Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      Target replacement mecA River Lena region in Central Yakutia, Russia Bacterial genomic sequencing [40]
      Bacitracin Target modification bacA, bcrA Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      bacA King George Island, West Antarctica Metagenomic analysis [36]
      Glycopeptide Target modification vanHA Bear Creek, Yukon, Canada Metagenomic analysis [17]
      vanR McMurdo Dry Valleys, East Antarctica Microarray GeoChip 4.0 [41]
      Macrolides Drug efflux macB King George Island, West Antarctica Metagenomic analysis [36]
      oleC Kongsfjorden Region of Svalbard in the High Arctic SmartChip Real-Time PCR [42]
      Target protection ermC River Lena region in Central Yakutia, Russia Bacterial genomic sequencing [40]
      ermC Northern Bering Sea qPCR [43]
      Drug inactivation mph River Lena region in Central Yakutia, Russia Bacterial genomic sequencing [40]
      MLSB (macrolide-lincosamide-streptogramin B) Target protection msrA River Lena region in Central Yakutia, Russia Bacterial genomic sequencing [40]
      Target modification erm(K, 34, 36) Kongsfjorden Region of Svalbard in the High Arctic SmartChip Real-Time PCR [42]
      Quinolones Drug efflux qepA Northern Bering Sea qPCR [43]
      Target protection qnr(A, B, D, S) Northern Bering Sea qPCR [43]
      Target modification gyrA Abisko, Sweden Metagenomic analysis [37]
      Sulfonamides Target replacement sul(1, 2, 3) Northern Bering Sea qPCR [43]
      sul(1, 2) Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      Target modification folP Abisko, Sweden Metagenomic analysis [37]
      Tetracyclines Drug efflux tet(A, B, C, D) Northern Bering Sea qPCR [43]
      tet(D, L, G, Y, 33, 39) Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      Target protection tet(M) Northern Bering Sea qPCR [43]
      tet(M, O, 36) Chongce glacier, and Eboling mountain, Xizang Metagenomic analysis [38]
      Trimethoprim Target replacement dfrA Mackay Glacier, South Victoria Land, Antarctica Metagenomic analysis [20]
      dfrE King George Island, West Antarctica Metagenomic analysis [36]
      Multidrug Drug efflux acrE King George Island, West Antarctica Metagenomic analysis [36]
      acr(A,R) Kongsfjorden Region of Svalbard in the High Arctic SmartChip Real-Time PCR [42]
      mepA Kongsfjorden Region of Svalbard in the High Arctic SmartChip Real-Time PCR [42]

      Antarctic glaciers are among the least affected by human activity. However, the presence of scientific stations and the increase in anthropogenic activity have favored the introduction of ARG-harbouring bacteria[11,44,45]. Several studies have shown that the dissemination of ARGs in the Antarctic environment can be influenced by the presence of both humans and animals[8,4649]. Bacterial isolates from areas under human influence were resistant to several antibiotic groups. They were mainly associated with genes encoding aminoglycoside-modifying enzymes (AMEs) and extended-spectrum β-lactamases (ESBLs), in contrast with those recovered from areas with low human intervention, which were highly susceptible to antibiotics[50,51]. Moreover, the presence of resistance to synthetic and semisynthetic antibiotics, identified in zones associated with human activity, suggests that these resistant isolates could be linked to human presence[50,52]. Alternatively, samples from far-inland Antarctica indicated interspecies competition and vertical inheritance contributed to the presence of ARGs, suggesting that antibiotic resistance originated naturally prior to the antibiotic era[11,17,20].

      In the Arctic, humans have inhabited for millennia, and industrial development has been intense, resulting in the local biota being exposed to anthropogenic pressure[26,47]. In Canada's high Arctic, 84% of coliform isolates from glacial ice and water were resistant to cefazolin, 71% resistant to cefamandole, and 65% resistant to ampicillin[53]. Some isolates were resistant even toward broad-spectrum antimicrobials, such as ciprofloxacin and chloramphenicol[54]. A study in the Kamchatka Peninsula and the Commander Islands assessed antibiotic resistance in heterotrophic bacterial isolates and determined that one isolate carried ESBL type CTX-M genes blactx-m-14 and blactx-m-15[55]. Resistant phenotypes to these ESBLs are considered clinically relevant[56]. Sulfonamide genes (sul1, sul2, and sul3) were most prevalent, and 87% of targeted ARGs were detected in the Arctic and sub-Arctic samples[43]. These genotypes were the most abundant in regions heavily impacted by humans[57]. The fact that these genotypes are found in remote parts of the Arctic may support the theory that the ARGs in the polar region arose from a mix of human influence and natural processes.

      Similarly, the microflora in the glacial environment on the Xizang Plateau developed resistance mechanisms to multiple antibiotics, including β-lactams, glycopeptides, tetracyclines, chloramphenicol, and fluoroquinolones[33,38,58]. These antibiotic resistance mechanisms are mainly encoded by ARGs, which can be spontaneous mutations or acquired features[59]. Compared with human-impacted environments, the relatively low abundance of ARGs in glacial environments on the Xizang Plateau[33,38,60] indicates that central Asian and Himalayan glaciers had the highest levels of ARG detection compared to Arctic and Antarctic glaciers. Quantitative microbial risk assessment (QMRA) is a framework for quantifying the human infection risks posed by ARB and is an effective tool for predicting potential transmission. However, its application in glacier-associated ARB research remains limited; to date, only one study has applied QMRA to assess ARB risks on the Xizang Plateau. The results indicated that the infection risk associated with ARB in this region is low and remains below safety thresholds[21].

      Behaviors of ARGs in glacial environments are often associated with two genetic mechanisms, e.g., genetic flow both vertically[20] and horizontally[38]. Indeed, positive correlations between MGEs and ARGs were identified in the absence of antibiotic selective pressure[32,40,61]. Specifically, the spread of ARGs as genetic elements can be mediated by conjugation, transduction, and transformation[62]. As ARGs can flow along melting streams and conjugate with other functional genes (e.g., VFs and metal resistance genes)[31,35,38] through horizontal gene transfer from other microbes, public health-oriented microbiological risk studies would benefit from devoting specific attention to ARGs in glaciers.

      The spatial heterogeneity of ARGs across different glacial regions is driven by the combined effects of geographical and climatic factors, local microbial ecology, and anthropogenic impacts[63]. Geographical and climatic factors shape regional ARGs by regulating microbial activity and the potential for gene exchange. In extremely oligotrophic and cold environments, intense interspecies competition acts as a potent natural selective force, favoring broader-spectrum intrinsic ARGs as defense strategies[64]. In addition to being naturally occurring, human activities can also influence the profiles of ARGs in glacier environments. The Arctic is the most severely affected region due to long-term human habitation and industrial activities[65]. Although the Xizang Plateau is remote, it is still influenced by pollutants transported from South Asia via atmospheric circulation systems such as the Indian monsoon[21].

    • The sources of ARGs in glaciers can be divided into two types: native and from human activities (Fig. 2). The extreme environmental conditions have fuelled resistance, particularly broad-spectrum resistance. In harsh environments, bacteria that produce antibiotics would provide a competitive advantage in the fight for limited nutrients[66]. Along with antibiotic production, antibiotic resistance is a protective mechanism in bacteria, serving as a defense against their own antibiotics or as a by-product of proximity to antibiotic-producing neighbors[67]. This competitive advantage was validated by a study in Antarctica, which found that ARG abundance was negatively correlated with species richness[20]. Recently, several studies reported the presence of antibiotic-resistant bacteria and ARGs in remote, pristine glaciers. For example, ARGs (sul2, strA, and strB) were detected in the 1,200–1,400-year-old Antarctic ice core during the pre-antibiotic era[68]. Segawa et al.[60] described 45 ARGs in snow and ice from glaciers distant from human activities. Naturally occurring ARGs were reported in the Mackay Glacier region of Antarctica, and these genes are ancient acquisitions of horizontal transfer events[20]. These findings support that glaciers are a known source of ancient ARGs[17].

      Figure 2. 

      Sources of ARGs in glaciers: natural legacy and anthropogenic inputs.

      In addition to being naturally occurring, human activity can also influence the profiles of ARGs in glacier environments. Atmospheric particles and migratory birds can transport ARGs from human-impacted regions to glacier environments[21]. A study found that some ARGs resistant to synthetic antibiotics (e.g., tetracyclines and fluoroquinolones) are more abundant in Central Asian and Himalayan glaciers[60]. This is linked to the overuse of antibiotics in neighboring countries (India and Nepal)[69], which leads to ARG-harboring bacteria and airborne ARGs settling on glacier surfaces via the Indian monsoon. Multiple studies have shown that the spread of ARGs in the Antarctic environment is influenced by both human and animal activities[11,45,70]. In contrast, the Arctic has supported human habitation for thousands of years and has experienced intensive industrial development, imposing substantial anthropogenic pressure on its native ecosystems[47,71]. Consequently, the Arctic displays markedly higher ARG levels—up to one to two orders of magnitude greater than those observed in Antarctica[47,60]. More than 570 antibiotic-resistant bacterial strains have been isolated from Arctic environments, including those resistant to fluoroquinolones and cephalosporins, with some even showing resistance to broad-spectrum antimicrobials such as ciprofloxacin and chloramphenicol[54]. Nonetheless, it is challenging to differentiate anthropogenically influenced ARGs from naturally occurring ARGs in areas with limited anthropogenic impacts.

    • Glaciers are the most important water source. These glaciers are melting due to the recent trend of global warming. ARGs stored in glaciers can undergo substantial horizontal gene transfer upon release into downstream environments. Traditionally, studies on ARGs in glacier-fed ecosystems have treated glaciers, rivers, and lakes as discrete entities[15,16]. However, this isolated approach makes it challenging to capture the dynamic processes by which ARGs are transported from glaciers to downstream lakes. We propose investigating the dissemination of ARGs within the glacier continuum. This continuum serves as a crucial pathway for the dissemination of ARGs from glaciers to downstream environments (Fig. 3). Within the glacier continuum, glaciers and lakes are closely connected via river systems. Rivers transport both biotic and abiotic materials from glaciers to downstream environments[72]. ARB and their associated ARGs exhibit different characteristics along this continuum. The cold, oligotrophic conditions of glaciers favour the preservation of resistant bacteria and ARGs, making glaciers an important reservoir of ARGs. Rivers can impose multiple environmental selection pressures that may facilitate the transfer and spread of ARGs among environmental microbes and hosts, thereby becoming hotspots for ARG-microbe exchange. When ARGs enter lakes, the convergence of upstream and native microbial communities can facilitate recombination between ARGs and indigenous microbes[35], transforming lakes into reservoirs for ARG accumulation. More importantly, ARGs may be transmitted and amplified through the lake food web, thereby exacerbating threats to ecological systems and human health.

      Figure 3. 

      The glacier continuum is a key pathway for downstream transmission of ARGs.

      Bacteria carrying ARGs released by glacier melting may incorporate and conjugate other functional genes under co-selective agents (e.g., heavy metals and pharmaceutical products) in downstream environments, potentially causing adverse ecological and human health effects. The issue of environmental antibiotic resistance can be addressed within the One Health paradigm. Previous studies indicated that heavy metal exposure can promote resistance to a wide range of antibiotics[31,73]. In addition, pharmaceutical products may share mechanisms of action with antibiotics, leading to the emergence of resistant and virulent clones[10,74]. ARG-VF coexistence patterns are important targets in microbiological risk assessment[25] because VFs confer on bacteria the ability to overcome host defense systems and cause disease, and the acquisition of antibiotic resistance contributes to survival under antibiotic therapy[75,76]. In one study of an Antarctic glacier, pathogenic phyla that harbor many clinical pathogens were found to harbor the most significant number of ARGs[20]. Similarly, ARG-VF coexistence in glacier cross-habitats was detected by metagenomic analysis[38]. Studies have begun to demonstrate the potential mobility of these ancient ARGs[77]. For example, the identification of identical ARG sequences shared between ancient bacteria and modern clinical isolates provides compelling evidence for the historical mobility and contemporary relevance of these resistance determinants[40]. Therefore, identifying ARGs and ARG-carrying bacteria and understanding their fates in the glacier continuum is vital for microbiological risk assessment from glaciers into downstream environments.

    • A plethora of methodologies, incorporating both culture-dependent and culture-independent approaches, have been established for the detection and quantification of ARGs in glacial environments. The Kirby-Bauer disk diffusion method, a classic culture-dependent phenotypic technique, effectively screens for potential antibiotic-resistant strains by measuring the diameter of inhibition zones around antibiotic-impregnated discs on agar plates[31,32]. However, given that 99% of microbial taxa in glacial environments are unculturable under standard laboratory conditions, this method has significant limitations for comprehensive surveys of ARG diversity and quantitative analysis across large-scale glacial habitats.

      In molecular biology, culture-independent techniques such as Polymerase Chain Reaction (PCR) and quantitative real-time PCR (qPCR) have overcome the technical limitations associated with microbial culturability[78]. However, the efficacy of their detection is constrained by the specificity of pre-designed primers, which allows only for the targeted detection and relative quantification of ARGs with known sequence structures. It is noteworthy that the advent of shotgun metagenomics has engendered a pioneering research paradigm for the comprehensive elucidation of the composition and abundance distribution of genetic elements within environmental samples. This technique involves unbiased high-throughput sequencing of total genomic DNA from environmental samples, coupled with multidimensional bioinformatics analysis pipelines that include sequence assembly, open reading frame prediction, and gene annotation. This enables the systematic identification and precise quantification of ARGs. The application of functional metagenomic analysis strategies has been extensively explored for ARG profiling and environmental health risk assessment across a range of cryospheric habitats, including polar and alpine glaciers. These strategies leverage the comprehensive detection capability afforded by metagenomic analysis, a field of research that has seen significant advancements in recent years[79,80].

      The synthesis of findings across different glacial studies is often hampered by the use of disparate sampling designs, detection platforms (e.g., qPCR vs metagenomics), and data normalization methods (e.g., per 16S rRNA gene copy, per cell, RPKM/TPM for metagenomes). To facilitate cross-study comparisons and more robust quantitative trend analyses, we propose greater methodological standardization. Table 2 summarizes key methodologies and proposes considerations for future work.

      Table 2.  Comparison of methods for detecting ARGs in glacial environments

      Method category Specific technique Principle Advantages Limitations Recommendations for standardization
      Culture-dependent Kirby-Bauer Disk Diffusion[81] Measures the zone of inhibition around the antibiotic disc Simple, low-cost, provides phenotypic resistance data Misses > 99% of unculturable microbes; low throughput Use as a complementary method to characterize isolated strains. Standardize media and incubation conditions
      Targeted molecular Quantitative PCR (qPCR)[82] Amplifies and quantifies specific, known ARG sequences using primers Highly sensitive and quantitative for targeted genes Limited to pre-selected targets; primer bias Use universal 16S rRNA gene normalization for bacterial abundance; Report detection limits; Use standardized primer sets when available
      High-Throughput qPCR (SmartChip)[83] Allows simultaneous quantification of hundreds of pre-defined ARGs High-throughput for targeted genes; broad profiling Still limited to pre-designed assays; high cost Normalize data per 16S rRNA gene. Clearly report the targeted gene panel
      Untargeted molecular Shotgun Metagenomics[84,85] Random sequencing of all DNA in a sample, followed by bioinformatic annotation Captures both known and novel ARGs; provides context (MGEs, hosts) Computationally intensive; depth of sequencing affects detection sensitivity Recommendation for primary use. Use deep sequencing. Normalize using reads per kilobase per million (RPKM/TPM) or cell count; Use standardized, curated databases (e.g., CARD, SARG); Deposit raw data in public repositories
      Emerging: Long-Read Sequencing (e.g., Nanopore, PacBio)[86] Sequences long DNA fragments Resolves complete ARG contexts (plasmids, chromosomes); links ARGs to hosts Higher error rate (Nanopore); lower throughput; higher cost Use for resolving genetic context and host association; Combine with short-read data for hybrid assembly for accuracy

      Taking traditional and emerging approaches into account, we propose an integrative metagenomics-based framework for retrieving ARGs profiling in glaciers. Briefly, three key components will be integrated: (1) The procedures, including sample preparation, sequencing, and output quality check, should be performed following a consistent and standardized workflow; (2) Metagenomic datasets will be annotated using a high-quality reference database (e.g., CARD, SARG, and ARDB); (3) Further laboratory experiments are used to study characteristics of phenotype.

    • The glacier continuum reflects the up–down relationships in ARGs dissemination and reveals how glacial melt influences their downstream transport[32,87,88]. However, most studies are limited in spatial and temporal scope, overlooking seasonal climatic variations, human activities, and key hydrological or atmospheric factors[8991]. Glacier melt can release ARGs into downstream ecosystems, and identifying their potential sources remains a challenge. Long-read sequencing and ARG-host coevolution approaches are used to trace the evolutionary history of ARGs, enabling differentiation between ancient intrinsic ARGs and those introduced by anthropogenic contamination. Elucidating the dynamics of ARGs along the glacier continuum and clarifying the role of human activities are critical for tracking ARG sources in glacier ecosystems.

      Future studies should implement time-series monitoring frameworks. Integrating high-resolution environmental sampling with metagenomic and hydrometeorological data will allow researchers to quantify ARGs export fluxes and identify 'seasonal hot moments' of ARGs release. Sequence similarity analyses were performed to compare ARG variants across glaciers, rivers, and lakes, thereby elucidating the temporal and spatial trajectories of ARG transmission. By incorporating environmental factors and antibiotic concentrations, the key factors influencing ARG transport along the glacier continuum were identified (Fig. 4a).

      Figure 4. 

      Schematic overview of the technical route for future study.

    • PARB, which carries both VFs and ARGs, serves as a key indicator of microbial risk. Research on their survival and risk assessment remains limited, primarily focusing on abundance and genetic composition[11, 44,45]. Increasing evidence shows that both glacier microenvironmental factors (e.g., temperature, pH, conductivity, chemical pollutants, and microbial communities) and macro-scale human activity indicators (e.g., population density, land use, and industrialization) influence the transfer and transformation of VFs and ARGs among PARB[92,93], causing habitat-specific variation in potential risks. Therefore, tracing PARB transmission along the glacier continuum is essential for evaluating ecological risks.

      Future work will evaluate risks based on the antibiotic resistance and virulence effects of PARB. Model simulations will be conducted to identify the major drivers shaping microbial risks across the glacier continuum. To strengthen the health relevance of glacial ARG research, it is essential to move beyond descriptive abundance data and integrate a QMRA framework (Fig. 4b).

    • ARGs can move through food webs, with studies showing their transfer to higher-trophic organisms via MGEs in soil[94] and similar accumulation in aquatic animals, such as fish, as they pass along the food chain[95]. Glacial melt releases resistant bacteria and ARGs into downstream waters, where they may undergo horizontal transfer, be absorbed by organisms, or persist in sediments. ARGs can bioaccumulate in lower-trophic organisms and be passed to higher-trophic organisms. However, the transmission patterns and ecological risks of ARGs in high-altitude lake food webs remain poorly understood. Clarifying how ARGs and their host spread from glaciers to downstream aquatic organisms is essential for anticipating and mitigating these risks.

      Future work will establish microcosm experiments to investigate how PARB influences the resistance and toxicity responses of aquatic organisms under various environmental stressors (e.g., antibiotics and warming) (Fig. 4c). The tolerance thresholds of aquatic organisms to PARB and the corresponding antibiotic risk levels will be determined, and early-warning strategies will be developed based on these thresholds.

    • Glaciers, once considered pristine environments, are increasingly recognized as reservoirs and potential sources of ARGs in a rapidly changing world. Accelerated glacier melting, driven by global climate change and intensified human activities, facilitate the release and downstream dissemination of ARGs from glaciers, posing potential biosecurity risks. This study reviewed evidence showing that ARGs in glaciers originate from both natural sources and atmospheric circulation. ARGs interact with indigenous microbial communities, MGEs, and co-selective stressors, enhancing their persistence, transfer, and potential amplification in downstream environments. The convergence of ARGs and PARB highlights the escalating ecological and health risks associated with glacial meltwater, particularly in high-altitude and polar regions that serve as critical freshwater sources.

      To safeguard ecosystem and public health within the One Health framework, it is essential to view glacier-connected habitats as an integrated system, elucidate the spatiotemporal dynamics of ARGs along the glacier continuum, and identify key transmission pathways from glaciers to aquatic organisms. Future research should adopt holistic approaches that integrate model frameworks and predictive analyses better to forecast the potential resurgence of ancient resistance genes, mitigate ARG dissemination, and develop strategies to preserve microbial and environmental safety within the glacier continuum under a warming climate.

      • The authors confirm contributions to the paper as follows: study conception and design: Guannan Mao; analysis and interpretation of results: Huiling Ying, Yadi Zhang, Wei Hu; data collection: Guannan Mao, Huiling Ying; draft manuscript preparation: Guannan Mao, Huiling Ying; review and editing: Guannan Mao, Wentao Wu; funding acquisition: Guannan Mao. All authors reviewed the results and approved the final version of the manuscript.

      • The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

      • This study was supported by the The National Natural Science Foundation of China (Grant Nos 92451301 and 42101128).

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

      • Glaciers are a potential reservoir of ARGs.

        A systematic comparison reveals ARGs distribution across major glacial regions.

        Future studies should focus on ARGs transmission along the glacier continuum.

        Focus is needed on downstream risks from ARGs released by glacier melt under climate change.

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

      • Copyright: © 2025 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/.
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    Ying H, Zhang Y, Hu W, Wu W, Mao G. 2025. Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world. Biocontaminant 1: e021 doi: 10.48130/biocontam-0025-0022
    Ying H, Zhang Y, Hu W, Wu W, Mao G. 2025. Glaciers as reservoirs of antibiotic resistance genes: hidden risks to human and ecosystem health in a warming world. Biocontaminant 1: e021 doi: 10.48130/biocontam-0025-0022

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