PreprintCited by 87Pharmaceutical and Antibiotic Environmental ImpactsMicroplastics and Plastic PollutionAntibiotic Resistance in Bacteria

The DOI matches its Crossref record; its reference list is not available.

Microbial hitchhikers harbouring antimicrobial-resistance genes in the riverine plastisphere

Open access

Preprint — published as 10.1186/s40168-023-01662-3 · Paper page

Abstract

Background The widespread nature of plastic pollution has given rise to wide scientific and social concern regarding the capacity of these materials to serve as vectors for pathogenic bacteria and reservoirs for Antimicrobial Resistance Genes (ARG). In- and ex-situ were used to characterise the riverine plastisphere taxonomically and functionally in order to determine whether antibiotics within the water influenced the ARG profiles in these microbiomes and how these compared to those on natural surfaces such as wood and their planktonic counterparts. Results We show that plastics support a taxonomically distinct microbiome containing potential pathogens and ARGs. While the plastisphere was similar to those biofilms that grew on wood, they were distinct from the surrounding water microbiome. Hence, whilst potential opportunistic pathogens (i.e. Pseudomonas aeruginosa, Acinetobacter and Aeromonas) and ARG subtypes (i.e. those that confer resistance to macrolides/lincosamides, rifamycin, sulfonamides, disinfecting agents and glycopeptides) were predominant in all surface-related microbiomes, especially on weathered plastics, a completely different set of potential pathogens (i.e. Escherichia, Salmonella, Klebsiella and Streptococcus) and ARGs (i.e. aminoglycosides, tetracycline, aminocoumarin, fluoroquinolones, nitroimidazole, oxazolidinone and fosfomycin) dominated in the planktonic compartment. Our genome-centric analysis allowed the assembly of 215 Metagenome Assembled Genomes (MAGs), linking ARGs and other virulence-related genes to their host. Interestingly, a MAG belonging to Escherichia –that clearly predominated in water– harboured more ARGs and virulence factors than any other MAG, emphasising the potential virulent nature of these pathogenic-related groups. Finally, ex-situ incubations using environmentally-relevant concentrations of antibiotics increased the prevalence of their corresponding ARGs, but different riverine compartments –including plastispheres– were affected differently by each antibiotic. Conclusions Our results provide insights into the capacity of the riverine plastisphere to harbour a distinct set of potentially pathogenic bacteria and function as a reservoir of ARGs. The environmental impact that plastics pose if they act as a reservoir for either pathogenic bacteria or ARGs is aggravated by the persistence of plastics in the environment due to their recalcitrance and buoyancy. Nevertheless, the high similarities with microbiomes growing on natural co-occurring materials and even more worrisome microbiome observed in the surrounding water highlights the urgent need to integrate the analysis of all environmental compartments when assessing risks and exposure to pathogens and ARGs in anthropogenically-impacted ecosystems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.21203/rs.3.rs-2886255/v1

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 159 · Cited by 87

Research works printed but not linked: 136

  1. Alcock, B.P., Raphenya, A.R., Lau, T.T.Y., Tsang, K.K., Bouchard, M., Edalatmand, A., Huynh, W., Nguyen, A.L. V., Cheng, A.A., Liu, S., Min, S.Y., Miroshnichenko, A., Tran, H.K., Werfalli, R.E., Nasir, J.A., Oloni, M., Speicher, D.J., Florescu, A., Singh, B., Faltyn, M., Hernandez-Koutoucheva, A., Sharma, A.N., Bordeleau, E., Pawlowski, A.C., Zubyk, H.L., Dooley, D., Griffiths, E., Maguire, F., Winsor, G.L., Beiko, R.G., Brinkman, F.S.L., Hsiao, W.W.L., Domselaar, G. V., McArthur, A.G., 2020. CARD 2020: Antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res. 48, D517–D525. https://doi.org/10.1093/nar/gkz935 · DOI · Paper page
  2. Almagro Armenteros, J.J., Tsirigos, K.D., Sønderby, C.K., Petersen, T.N., Winther, O., Brunak, S., von Heijne, G., Nielsen, H., 2019. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat. Biotechnol. 37, 420–423. https://doi.org/10.1038/s41587-019-0036-z · DOI
  3. Alneberg, J., Bjarnason, B.S., De Bruijn, I., Schirmer, M., Quick, J., Ijaz, U.Z., Lahti, L., Loman, N.J., Andersson, A.F., Quince, C., 2014. Binning metagenomic contigs by coverage and composition. Nat. Methods 11, 1144–1146. https://doi.org/10.1038/nmeth.3103 · DOI
  4. Amaral-Zettler, L.A., Zettler, E.R., Mincer, T.J., 2020. Ecology of the plastisphere. Nat. Rev. Microbiol. https://doi.org/10.1038/s41579-019-0308-0 · DOI · Paper page
  5. 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. Crit. Rev. Environ. Sci. Technol. 50, 2016–2059. https://doi.org/10.1080/10643389.2019.1692611 · DOI
  6. Andrady, A.L., 2017. The plastic in microplastics: A review. Mar. Pollut. Bull. 119, 12–22. https://doi.org/10.1016/j.marpolbul.2017.01.082 · DOI · Paper page
  7. Arias-Andres, M., Klümper, U., Rojas-Jimenez, K., Grossart, H.P., 2018. Microplastic pollution increases gene exchange in aquatic ecosystems. Environ. Pollut. 237, 253–261. https://doi.org/10.1016/j.envpol.2018.02.058 · DOI
  8. Baig, Z.T., Abbasi, S.A., Memon, A.G., Naz, A., Soomro, A.F., 2022. Assessment of degradation potential of Pseudomonas species in bioremediating soils contaminated with petroleum hydrocarbons. J. Chem. Technol. Biotechnol. 97, 455–465. https://doi.org/10.1002/jctb.6820 · DOI
  9. Balcázar, J.L., Subirats, J., Borrego, C.M., 2015. The role of biofilms as environmental reservoirs of antibiotic resistance. Front. Microbiol. 6, 1–9. https://doi.org/10.3389/fmicb.2015.01216 · DOI
  10. Bandopadhyay, S., Liquet y González, J.E., Henderson, K.B., Anunciado, M.B., Hayes, D.G., DeBruyn, J.M., 2020. Soil Microbial Communities Associated With Biodegradable Plastic Mulch Films. Front. Microbiol. 11. https://doi.org/10.3389/fmicb.2020.587074 · DOI
  11. Barnes, D.K.A., Galgani, F., Thompson, R.C., Barlaz, M., 2009. Accumulation and fragmentation of plastic debris in global environments. Philos. Trans. R. Soc. B Biol. Sci. 364, 1985–1998. https://doi.org/10.1098/rstb.2008.0205 · DOI · Paper page
  12. Barros, J., Seena, S., 2021. Plastisphere in freshwaters: An emerging concern. Environ. Pollut. 290, 118123. https://doi.org/10.1016/j.envpol.2021.118123 · DOI
  13. Basili, M., Campanelli, A., Frapiccini, E., Luna, G.M., Quero, G.M., 2021. Occurrence and distribution of microbial pollutants in coastal areas of the Adriatic Sea influenced by river discharge. Environ. Pollut. 285, 117672. https://doi.org/10.1016/j.envpol.2021.117672 · DOI
  14. Beghini, F., McIver, L.J., Blanco-Míguez, A., Dubois, L., Asnicar, F., Maharjan, S., Mailyan, A., Thomas, A.M., Manghi, P., Valles-Colomer, M., Weingart, G., Zhang, Y., Zolfo, M., Huttenhower, C., Franzosa, E.A., Segata, N., 2021. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife 10, 1–42. https://doi.org/10.1101/2020.11.19.388223 · DOI
  15. Begmatov, S., Dorofeev, A.G., Kadnikov, V. V., Beletsky, A. V., Pimenov, N. V., Ravin, N. V., Mardanov, A. V., 2022. The structure of microbial communities of activated sludge of large-scale wastewater treatment plants in the city of Moscow. Sci. Rep. 12, 1–14. https://doi.org/10.1038/s41598-022-07132-4 · DOI
  16. Beloe, C.J., Browne, M.A., Johnston, E.L., 2022. Plastic Debris As a Vector for Bacterial Disease: An Interdisciplinary Systematic Review. Environ. Sci. Technol. 56, 2950–2958. https://doi.org/10.1021/acs.est.1c05405 · DOI
  17. Bengtsson-Palme, J., Larsson, D.G.J., 2016. Concentrations of antibiotics predicted to select for resistant bacteria: Proposed limits for environmental regulation. Environ. Int. 86, 140–149. https://doi.org/10.1016/j.envint.2015.10.015 · DOI
  18. Berlanga, M., Guerrero, R., 2016. Living together in biofilms: The microbial cell factory and its biotechnological implications. Microb. Cell Fact. 15, 1–11. https://doi.org/10.1186/s12934-016-0569-5 · DOI
  19. Bhandari, A., Close, L.I., Kim, W., Hunter, R.P., Koch, D.E., Surampalli, R.Y., 2008. Occurrence of ciprofloxacin, sulfamethoxazole, and azithromycin in municipal wastewater treatment plants. Pract. Period. Hazardous, Toxic, Radioact. Waste Manag. 12, 275–281. https://doi.org/10.1061/(ASCE)1090-025X(2008)12:4(275) · DOI
  20. Bhowmick, U.D., Bhattacharjee, S., 2018. Bacteriological, clinical and virulence aspects of aeromonas-associated diseases in humans. Polish J. Microbiol. 67, 137–149. https://doi.org/10.21307/pjm-2018-020 · DOI
  21. Bolger, A.M., Lohse, M., Usadel, B., 2014. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. https://doi.org/10.1093/bioinformatics/btu170 · DOI · Paper page
  22. Borsetto, C., Raguideau, S., Travis, E., Kim, D.W., Lee, D.H., Bottrill, A., Stark, R., Song, L., Cha, C.J., Pearson, J., Quince, C., Singer, A.C., Wellington, E.M.H., 2021. Impact of sulfamethoxazole on a riverine microbiome. Water Res. 201, 117382. https://doi.org/10.1016/j.watres.2021.117382 · DOI
  23. Bowley, J., Baker-Austin, C., Porter, A., Hartnell, R., Lewis, C., 2020. Oceanic Hitchhikers – Assessing Pathogen Risks from Marine Microplastic. Trends Microbiol. https://doi.org/10.1016/j.tim.2020.06.011 · DOI
  24. Bryant, J.A., Clemente, T.M., Viviani, D.A., Fong, A.A., Thomas, K.A., Kemp, P., Karl, D.M., White, A.E., DeLong, E.F., 2016. Diversity and Activity of Communities Inhabiting Plastic Debris in the North Pacific Gyre. mSystems 1. https://doi.org/10.1128/msystems.00024-16 · DOI
  25. Cao, Y., Achmon, Y., Yaron, S., Siame, B.A., Leung, K.Y., 2021. Burkholderiaceae and Multidrug Resistance Genes Are Key Players in Resistome Development in a Germfree Soil Model. mSystems 6. https://doi.org/10.1128/msystems.00988-21 · DOI
  26. Chaumeil, P.A., Mussig, A.J., Hugenholtz, P., Parks, D.H., 2020. GTDB-Tk: A toolkit to classify genomes with the genome taxonomy database. Bioinformatics 36, 1925–1927. https://doi.org/10.1093/bioinformatics/btz848 · DOI
  27. Chen, Q., Lu, W., Zhou, D., Zheng, G., Liu, H., Qian, C., Zhou, W., Lu, J., Ni, L., Bao, Q., Li, A., Xu, T., Xu, H., 2020. Characterization of two macrolide resistance-related genes in multidrug-resistant pseudomonas aeruginosa isolates. Polish J. Microbiol. 69, 349–356. https://doi.org/10.33073/pjm-2020-038 · DOI
  28. Cheng, Y., Lu, J., Fu, S., Wang, S., Senehi, N., Yuan, Q., 2022. Enhanced propagation of intracellular and extracellular antibiotic resistance genes in municipal wastewater by microplastics. Environ. Pollut. 292, 118284. https://doi.org/10.1016/j.envpol.2021.118284 · DOI
  29. de Nies, L., Lopes, S., Heintz-Buschart, A., Laczny, C.C., May, P., Wilmes, P., 2021. PathoFact: A pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data. Microbiome 9, 1–14. https://doi.org/10.1101/2020.03.24.006148 · DOI
  30. Delacuvellerie, A., Cyriaque, V., Gobert, S., Benali, S., Wattiez, R., 2019. The plastisphere in marine ecosystem hosts potential specific microbial degraders including Alcanivorax borkumensis as a key player for the low-density polyethylene degradation. J. Hazard. Mater. 380, 120899. https://doi.org/10.1016/j.jhazmat.2019.120899 · DOI · Paper page
  31. Delmont, T.O., Quince, C., Shaiber, A., Esen, Ö.C., Lee, S.T., Rappé, M.S., MacLellan, S.L., Lücker, S., Eren, A.M., 2018. Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes. Nat. Microbiol. 3, 804–813. https://doi.org/10.1038/s41564-018-0176-9 · DOI
  32. Depoorter, E., Bull, M.J., Peeters, C., Coenye, T., Vandamme, P., Mahenthiralingam, E., 2016. Burkholderia: an update on taxonomy and biotechnological potential as antibiotic producers. Appl. Microbiol. Biotechnol. 100, 5215–5229. https://doi.org/10.1007/s00253-016-7520-x · DOI
  33. Diggle, S.P., Whiteley, M., 2020. Microbe profile: Pseudomonas aeruginosa: Opportunistic pathogen and lab rat. Microbiol. (United Kingdom) 166, 30–33. https://doi.org/10.1099/mic.0.000860 · DOI
  34. Dixon, P., 2003. VEGAN, a package of R functions for community ecology. J. Veg. Sci. 14, 927–930. · DOI
  35. Eddy, S.R., 2011. Accelerated profile HMM searches. PLoS Comput. Biol. 7. https://doi.org/10.1371/journal.pcbi.1002195 · DOI · Paper page
  36. Elhosseiny, N.M., Attia, A.S., 2018. Acinetobacter: An emerging pathogen with a versatile secretome review-article. Emerg. Microbes Infect. 7. https://doi.org/10.1038/s41426-018-0030-4 · DOI
  37. Eren, A.M., Kiefl, E., Shaiber, A., Veseli, I., Miller, S.E., Schechter, M.S., Fink, I., Pan, J.N., Yousef, M., Fogarty, E.C., Trigodet, F., Watson, A.R., Esen, Ö.C., Moore, R.M., Clayssen, Q., Lee, M.D., Kivenson, V., Graham, E.D., Merrill, B.D., Karkman, A., Blankenberg, D., Eppley, J.M., Sjödin, A., Scott, J.J., Vázquez-Campos, X., McKay, L.J., McDaniel, E.A., Stevens, S.L.R., Anderson, R.E., Fuessel, J., Fernandez-Guerra, A., Maignien, L., Delmont, T.O., Willis, A.D., 2021. Community-led, integrated, reproducible multi-omics with anvi’o. Nat. Microbiol. 6, 3–6. https://doi.org/10.1038/s41564-020-00834-3 · DOI
  38. Erni-Cassola, G., Wright, R.J., Gibson, M.I., Christie-Oleza, J.A., 2020. Early Colonization of Weathered Polyethylene by Distinct Bacteria in Marine Coastal Seawater. Microb. Ecol. 79, 517–526. https://doi.org/10.1007/s00248-019-01424-5 · DOI
  39. Erni-Cassola, G., Zadjelovic, V., Gibson, M.I., Christie-Oleza, J.A., 2019. Distribution of plastic polymer types in the marine environment; A meta-analysis. J. Hazard. Mater. 369, 691–698. https://doi.org/10.1016/j.jhazmat.2019.02.067 · DOI · Paper page
  40. Fernandes, A.D., Macklaim, J.M., Linn, T.G., Reid, G., Gloor, G.B., 2013. ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq. PLoS One 8. https://doi.org/10.1371/journal.pone.0067019 · DOI
  41. Fernandes, D., A., Reid, J., Macklaim, M., J., McMurrough, T.A, Edgell, D.R., Gloor, B., G., 2014. Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis. Microbiome 2, 1–13. · DOI · Paper page
  42. Galloway, T.S., Cole, M., Lewis, C., 2017. Interactions of microplastic debris throughout the marine ecosystem. Nat. Ecol. Evol. 1, 1–8. https://doi.org/10.1038/s41559-017-0116 · DOI · Paper page
  43. Gaze, W.H., Zhang, L., Abdouslam, N.A., Hawkey, P.M., Calvo-Bado, L., Royle, J., Brown, H., Davis, S., Kay, P., Boxall, A.B.A., Wellington, E.M.H., 2011. Impacts of anthropogenic activity on the ecology of class 1 integrons and integron-associated genes in the environment. ISME J. 5, 1253–1261. https://doi.org/10.1038/ismej.2011.15 · DOI
  44. Ginn, O., Rocha-Melogno, L., Bivins, A., Lowry, S., Cardelino, M., Nichols, D., Tripathi, S.N., Soria, F., Andrade, M., Bergin, M., Deshusses, M.A., Brown, J., 2021. Detection and Quantification of Enteric Pathogens in Aerosols near Open Wastewater Canals in Cities with Poor Sanitation. Environ. Sci. Technol. 55, 14758–14771. https://doi.org/10.1021/acs.est.1c05060 · DOI
  45. Gloor, G.B., Macklaim, J.M., Fernandes, A.D., 2016. Displaying Variation in Large Datasets: Plotting a Visual Summary of Effect Sizes. J. Comput. Graph. Stat. 25, 971–979. https://doi.org/10.1080/10618600.2015.1131161 · DOI
  46. Guo, X. pan, Sun, X. li, Chen, Y. ru, Hou, L., Liu, M., Yang, Y., 2020. Antibiotic resistance genes in biofilms on plastic wastes in an estuarine environment. Sci. Total Environ. 745. https://doi.org/10.1016/j.scitotenv.2020.140916 · DOI
  47. Guo, Y., Rene, E.R., Wang, J., Ma, W., 2020. Biodegradation of polyaromatic hydrocarbons and the influence of environmental factors during the co-composting of sewage sludge and green forest waste. Bioresour. Technol. 297, 122434. https://doi.org/10.1016/j.biortech.2019.122434 · DOI
  48. Hall, C.W., Mah, T.F., 2017. Molecular mechanisms of biofilm-based antibiotic resistance and tolerance in pathogenic bacteria. FEMS Microbiol. Rev. https://doi.org/10.1093/femsre/fux010 · DOI
  49. Harris, C.R., Millman, K.J., van der Walt, S.J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N.J., Kern, R., Picus, M., Hoyer, S., van Kerkwijk, M.H., Brett, M., Haldane, A., del Río, J.F., Wiebe, M., Peterson, P., Gérard-Marchant, P., Sheppard, K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke, C., Oliphant, T.E., 2020. Array programming with NumPy. Nature 585, 357–362. https://doi.org/10.1038/s41586-020-2649-2 · DOI · Paper page
  50. Hirai, H., Takada, H., Ogata, Y., Yamashita, R., Mizukawa, K., Saha, M., Kwan, C., Moore, C., Gray, H., Laursen, D., Zettler, E.R., Farrington, J.W., Reddy, C.M., Peacock, E.E., Ward, M.W., 2011. Organic micropollutants in marine plastics debris from the open ocean and remote and urban beaches. Mar. Pollut. Bull. 62, 1683–1692. https://doi.org/10.1016/j.marpolbul.2011.06.004 · DOI
  51. Hunter, J.D., 2007. Matplotlib: A 2D graphics environment. Comput. Sci. Eng. 9, 90–95. https://doi.org/10.1109/MCSE.2007.55 · DOI · Paper page
  52. Hyatt, D., Chen, G.L., LoCascio, P.F., Land, M.L., Larimer, F.W., Hauser, L.J., 2010. Prodigal: Prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11. https://doi.org/10.1186/1471-2105-11-119 · DOI
  53. Jain, C., Rodriguez-R, L.M., Phillippy, A.M., Konstantinidis, K.T., Aluru, S., 2018. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat. Commun. 9, 1–8. https://doi.org/10.1038/s41467-018-07641-9 · DOI · Paper page
  54. Jin, D., Kong, X., Cui, B., Jin, S., Xie, Y., Wang, X., Deng, Y., 2018. Bacterial communities and potential waterborne pathogens within the typical urban surface waters. Sci. Rep. 8, 1–9. https://doi.org/10.1038/s41598-018-31706-w · DOI
  55. Kanehisa, M., Goto, S., 2000. KEGG; Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 28, 27–30. https://doi.org/10.1093/nar/27.1.29 · DOI · Paper page
  56. Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., Tanabe, M., 2016. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 44, D457–D462. https://doi.org/10.1093/nar/gkv1070 · DOI · Paper page
  57. Kasalický, V., 2019. Limnohabitans. Bergey’s Man. Syst. Archaea Bact. 1–12. https://doi.org/10.1002/9781118960608.gbm01537 · DOI
  58. Keely, S.P., Brinkman, N.E., Wheaton, E.A., Jahne, M.A., Siefring, S.D., Varma, M., Hill, R.A., Leibowitz, S.G., Martin, R.W., Garland, J.L., Haugland, R.A., 2022. Geospatial Patterns of Antimicrobial Resistance Genes in the US EPA National Rivers and Streams Assessment Survey. Environ. Sci. Technol. https://doi.org/10.1021/acs.est.2c00813 · DOI
  59. Keswani, A., Oliver, D.M., Gutierrez, T., Quilliam, R.S., 2016. Microbial hitchhikers on marine plastic debris: Human exposure risks at bathing waters and beach environments. Mar. Environ. Res. 118, 10–19. https://doi.org/10.1016/j.marenvres.2016.04.006 · DOI
  60. Kistemann, T., Claßen, T., Koch, C., Dangendorf, F., Fischeder, R., Gebel, J., Vacata, V., Exner, M., 2002. Microbial load of drinking water reservoir tributaries during extreme rainfall and runoff. Appl. Environ. Microbiol. 68, 2188–2197. https://doi.org/10.1128/AEM.68.5.2188-2197.2002 · DOI
  61. Langmead, B., Salzberg, S.L., 2012. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359. https://doi.org/10.1038/nmeth.1923 · DOI · Paper page
  62. Latva, M., Dedman, C.J., Wright, R.J., Polin, M., Christie-Oleza, J.A., 2022. Microbial pioneers of plastic colonisation in coastal seawaters. Mar. Pollut. Bull. 179, 113701. https://doi.org/10.1016/j.marpolbul.2022.113701 · DOI
  63. Latva, M., Zadjelovic, V., Wright, R.J., 2023. Current Research on Microbe — Plastic Interactions in the Marine Environment, Plastic Pollution in the Global Ocean. https://doi.org/10.1142/9789811259111_0011 · DOI
  64. Lebreton, L.C.M., Van Der Zwet, J., Damsteeg, J.W., Slat, B., Andrady, A., Reisser, J., 2017. River plastic emissions to the world’s oceans. Nat. Commun. 8. https://doi.org/10.1038/ncomms15611 · DOI · Paper page
  65. Lemmer, H., Zaglauer, A., Neef, A., Meier, H., Amann, R., 1997. Denitrification in a methanol-fed fixed-bed reactor. Part 2: Composition and ecology of the bacterial community in the biofilms. Water Res. 31, 1903–1908. https://doi.org/10.1016/S0043-1354(97)00027-4 · DOI
  66. Li, D., Liu, C.M., Luo, R., Sadakane, K., Lam, T.W., 2015. MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics 31, 1674–1676. https://doi.org/10.1093/bioinformatics/btv033 · DOI
  67. Li, Y.M., Cao, W.W., Liang, S.L., Yamasaki, S., Chen, X., Shi, L., Ye, L., 2020. Metagenomic characterization of bacterial community and antibiotic resistance genes in representative ready-to-eat food in southern China. Sci. Rep. 10, 1–14. https://doi.org/10.1038/s41598-020-72620-4 · DOI
  68. Liu, H., Whitehouse, C.A., Li, B., 2018. Presence and Persistence of Salmonella in Water: The Impact on Microbial Quality of Water and Food Safety. Front. Public Heal. 6, 1–13. https://doi.org/10.3389/fpubh.2018.00159 · DOI
  69. Llirós, M., Inceoʇlu, Ö., García-Armisen, T., Anzil, A., Leporcq, B., Pigneur, L.M., Viroux, L., Darchambeau, F., Descy, J.P., Servais, P., 2014. Bacterial community composition in three freshwater reservoirs of different alkalinity and trophic status. PLoS One 9, 1–27. https://doi.org/10.1371/journal.pone.0116145 · DOI
  70. Loch, T.P., Faisal, M., 2015. Emerging flavobacterial infections in fish: A review. J. Adv. Res. 6, 283–300. https://doi.org/10.1016/j.jare.2014.10.009 · DOI
  71. Lu, J., Breitwieser, F.P., Thielen, P., Salzberg, S.L., 2017. Bracken: Estimating species abundance in metagenomics data. PeerJ Comput. Sci. 2017, 1–17. https://doi.org/10.7717/peerj-cs.104 · DOI
  72. Mallick, H., Rahnavard, A., McIver, L.J., Ma, S., Zhang, Y., Nguyen, L.H., Tickle, T.L., Weingart, G., Ren, B., Schwager, E.H., Chatterjee, S., Thompson, K.N., Wilkinson, J.E., Subramanian, A., Lu, Y., Waldron, L., Paulson, J.N., Franzosa, E.A., Bravo, H.C., Huttenhower, C., 2021. Multivariable Association Discovery in Population-scale Meta-omics Studies. bioRxiv 2021.01.20.427420.
  73. Mandal, S., Van Treuren, W., White, R.A., Eggesbø, M., Knight, R., Peddada, S.D., 2015. Analysis of composition of microbiomes: a novel method for studying microbial composition. Microb. Ecol. Heal. Dis. 26. https://doi.org/10.3402/mehd.v26.27663 · DOI · Paper page
  74. Matsen, F.A., Kodner, R.B., Armbrust, E.V., 2010. pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree. BMC Bioinformatics 11, 538. https://doi.org/10.1186/1471-2105-11-538 · DOI
  75. McCormick, A.R., Hoellein, T.J., London, M.G., Hittie, J., Scott, J.W., Kelly, J.J., 2016. Microplastic in surface waters of urban rivers: Concentration, sources, and associated bacterial assemblages. Ecosphere 7. https://doi.org/10.1002/ecs2.1556 · DOI
  76. McKinney, W., 2010. Data Structures for Statistical Computing in Python, in: van der Walt, S., Millman, J. (Eds.), Proceedings of the 9th Python in Science Conference.
  77. McMurdie, P.J., Holmes, S., 2013. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8, 1–11. https://doi.org/10.1371/journal.pone.0061217 · DOI
  78. Menzel, P., Ng, K.L., Krogh, A., 2016. Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nat. Commun. 7. https://doi.org/10.1038/ncomms11257 · DOI
  79. Mulder, I., Siemens, J., Sentek, V., Amelung, W., Smalla, K., Jechalke, S., 2018. Quaternary ammonium compounds in soil: implications for antibiotic resistance development. Rev. Environ. Sci. Biotechnol. 17, 159–185. https://doi.org/10.1007/s11157-017-9457-7 · DOI
  80. Murray, A.K., Zhang, L., Snape, J., Gaze, W.H., 2019. Comparing the selective and co-selective effects of different antimicrobials in bacterial communities. Int. J. Antimicrob. Agents 53, 767–773. https://doi.org/10.1016/j.ijantimicag.2019.03.001 · DOI
  81. Murray, C.J., Ikuta, K.S., Sharara, F., Swetschinski, L., Robles Aguilar, G., Gray, A., Han, C., Bisignano, C., Rao, P., Wool, E., Johnson, S.C., Browne, A.J., Chipeta, M.G., Fell, F., Hackett, S., Haines-Woodhouse, G., Kashef Hamadani, B.H., Kumaran, E.A.P., McManigal, B., Agarwal, R., Akech, S., Albertson, S., Amuasi, J., Andrews, J., Aravkin, A., Ashley, E., Bailey, F., Baker, S., Basnyat, B., Bekker, A., Bender, R., Bethou, A., Bielicki, J., Boonkasidecha, S., Bukosia, J., Carvalheiro, C., Castañeda-Orjuela, C., Chansamouth, V., Chaurasia, S., Chiurchiù, S., Chowdhury, F., Cook, A.J., Cooper, B., Cressey, T.R., Criollo-Mora, E., Cunningham, M., Darboe, S., Day, N.P.J., De Luca, M., Dokova, K., Dramowski, A., Dunachie, S.J., Eckmanns, T., Eibach, D., Emami, A., Feasey, N., Fisher-Pearson, N., Forrest, K., Garrett, D., Gastmeier, P., Giref, A.Z., Greer, R.C., Gupta, V., Haller, S., Haselbeck, A., Hay, S.I., Holm, M., Hopkins, S., Iregbu, K.C., Jacobs, J., Jarovsky, D., Javanmardi, F., Khorana, M., Kissoon, N., Kobeissi, E., Kostyanev, T., Krapp, F., Krumkamp, R., Kumar, A., Kyu, H.H., Lim, C., Limmathurotsakul, D., Loftus, M.J., Lunn, M., Ma, J., Mturi, N., Munera-Huertas, T., Musicha, P., Mussi-Pinhata, M.M., Nakamura, T., Nanavati, R., Nangia, S., Newton, P., Ngoun, C., Novotney, A., Nwakanma, D., Obiero, C.W., Olivas-Martinez, A., Olliaro, P., Ooko, E., Ortiz-Brizuela, E., Peleg, A.Y., Perrone, C., Plakkal, N., Ponce-de-Leon, A., Raad, M., Ramdin, T., Riddell, A., Roberts, T., Robotham, J.V., Roca, A., Rudd, K.E., Russell, N., Schnall, J., Scott, J.A.G., Shivamallappa, M., Sifuentes-Osornio, J., Steenkeste, N., Stewardson, A.J., Stoeva, T., Tasak, N., Thaiprakong, A., Thwaites, G., Turner, C., Turner, P., van Doorn, H.R., Velaphi, S., Vongpradith, A., Vu, H., Walsh, T., Waner, S., Wangrangsimakul, T., Wozniak, T., Zheng, P., Sartorius, B., Lopez, A.D., Stergachis, A., Moore, C., Dolecek, C., Naghavi, M., 2022. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629–655. https://doi.org/10.1016/S0140-6736(21)02724-0 · DOI · Paper page
  82. Muurinen, J., Stedtfeld, R., Karkman, A., Pärnänen, K., Tiedje, J., Virta, M., 2017. Influence of Manure Application on the Environmental Resistome under Finnish Agricultural Practice with Restricted Antibiotic Use. Environ. Sci. Technol. 51, 5989–5999. https://doi.org/10.1021/acs.est.7b00551 · DOI
  83. Nearing, J.T., Douglas, G.M., Hayes, M., Macdonald, J., Desai, D., Allward, N., Jones, C.M.A., Wright, R., Dhanani, A., Comeau, A.M., Langille, M.G.I., 2022. Microbiome differential abundance methods produce disturbingly different results across 38 datasets. Nat. Commun. 13, 1–16.
  84. O’Neill, J., 2016. Tackling drug-resistant infections globally: final report and recommendations. London: Review on Antimicrobial Resistance. https://doi.org/10.4103/2045-080x.186181 · DOI
  85. Oberbeckmann, S., Bartosik, D., Huang, S., Werner, J., Hirschfeld, C., Wibberg, D., Heiden, S.E., Bunk, B., Overmann, J., Becher, D., Kalinowski, J., Schweder, T., Labrenz, M., Markert, S., 2021. Genomic and proteomic profiles of biofilms on microplastics are decoupled from artificial surface properties. Environ. Microbiol. 00. https://doi.org/10.1111/1462-2920.15531 · DOI
  86. Oberbeckmann, S., Kreikemeyer, B., Labrenz, M., 2018. Environmental factors support the formation of specific bacterial assemblages on microplastics. Front. Microbiol. 8, 2709. https://doi.org/10.3389/FMICB.2017.02709 · DOI
  87. Oberbeckmann, S., Loeder, M.G.J., Gerdts, G., Mark Osborn, a, 2014. Spatial and seasonal variation in diversity and structure of microbial biofilms on marine plastics in Northern European waters. FEMS Microbiol. Ecol. 49, 478–492. https://doi.org/10.1111/1574-6941.12409 · DOI · Paper page
  88. Oberbeckmann, S., Osborn, A.M., Duhaime, M.B., 2016. Microbes on a bottle: Substrate, season and geography influence community composition of microbes colonizing marine plastic debris. PLoS One 11. https://doi.org/10.1371/journal.pone.0159289 · DOI · Paper page
  89. Ogonowski, M., Motiei, A., Ininbergs, K., Hell, E., Gerdes, Z., Udekwu, K.I., Bacsik, Z., Gorokhova, E., 2018. Evidence for selective bacterial community structuring on microplastics. Environ. Microbiol. 20, 2796–2808. https://doi.org/10.1111/1462-2920.14120 · DOI
  90. Ondov, B.D., Treangen, T.J., Melsted, P., Mallonee, A.B., Bergman, N.H., Koren, S., Phillippy, A.M., 2016. Mash: Fast genome and metagenome distance estimation using MinHash. Genome Biol. 17, 1–14. https://doi.org/10.1186/s13059-016-0997-x · DOI · Paper page
  91. Pal, C., Bengtsson-Palme, J., Kristiansson, E., Larsson, D.G.J., 2015. Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential. BMC Genomics 16, 1–14. https://doi.org/10.1186/s12864-015-2153-5 · DOI
  92. Parks, D.H., Chuvochina, M., Chaumeil, P.A., Rinke, C., Mussig, A.J., Hugenholtz, P., 2020. A complete domain-to-species taxonomy for Bacteria and Archaea. Nat. Biotechnol. 38, 1079–1086. https://doi.org/10.1038/s41587-020-0501-8 · DOI
  93. Parks, D.H., Chuvochina, M., Reeves, P.R., Beatson, S.A., Hugenholtz, P., 2021a. Reclassification of Shigella species as later heterotypic synonyms of Escherichia coli in the Genome Taxonomy Database. bioRxiv 2021.09.22.461432.
  94. Parks, D.H., Chuvochina, M., Rinke, C., Mussig, A.J., Chaumeil, P.A., Hugenholtz, P., 2021b. GTDB: An ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Res. 50, D785–D794. https://doi.org/10.1093/nar/gkab776 · DOI · Paper page
  95. Parks, D.H., Chuvochina, M., Waite, D.W., Rinke, C., Skarshewski, A., Chaumeil, P.A., Hugenholtz, P., 2018. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36, 996. https://doi.org/10.1038/nbt.4229 · DOI · Paper page
  96. Parks, D.H., Imelfort, M., Skennerton, C.T., Hugenholtz, P., Tyson, G.W., 2015. CheckM: Assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 25, 1043–1055. https://doi.org/10.1101/gr.186072.114 · DOI · Paper page
  97. Pessoa, R.B.G., Oliveira, W.F. de, Correia, M.T. dos S., Fontes, A., Coelho, L.C.B.B., 2022. Aeromonas and Human Health Disorders: Clinical Approaches. Front. Microbiol. 13. https://doi.org/10.3389/fmicb.2022.868890 · DOI
  98. Pinnell, L.J., Turner, J.W., 2020. Temporal changes in water temperature and salinity drive the formation of a reversible plastic-specific microbial community. FEMS Microbiol. Ecol. 96, 1–10. https://doi.org/10.1093/femsec/fiaa230 · DOI
  99. Pinnell, L.J., Turner, J.W., 2019. Shotgun metagenomics reveals the benthic microbial community response to plastic and bioplastic in a coastal marine environment. Front. Microbiol. 10. https://doi.org/10.3389/fmicb.2019.01252 · DOI
  100. Pop Ristova, P., Bienhold, C., Wenzhöfer, F., Rossel, P.E., Boetius, A., 2017. Temporal and spatial variations of bacterial and faunal communities associated with deep-sea wood falls, PLoS ONE. https://doi.org/10.1371/journal.pone.0169906 · DOI
  101. Price, M.N., Dehal, P.S., Arkin, A.P., 2010. FastTree 2 - Approximately maximum-likelihood trees for large alignments. PLoS One 5. https://doi.org/10.1371/journal.pone.0009490 · DOI · Paper page
  102. Ramos, J.L., Duque, E., Huertas, M.J., Haidour, A., 1995. Isolation and expansion of the catabolic potential of a Pseudomonas putida strain able to grow in the presence of high concentrations of aromatic hydrocarbons. J. Bacteriol. 177, 3911–3916. https://doi.org/10.1128/jb.177.14.3911-3916.1995 · DOI
  103. Rinke, C., Chuvochina, M., Mussig, A.J., Chaumeil, P.A., Davín, A.A., Waite, D.W., Whitman, W.B., Parks, D.H., Hugenholtz, P., 2021. A standardized archaeal taxonomy for the Genome Taxonomy Database. Nat. Microbiol. 6, 946–959. https://doi.org/10.1038/s41564-021-00918-8 · DOI
  104. Rodrigues, C., Cunha, M.Â., 2017. Assessment of the microbiological quality of recreational waters: indicators and methods. Euro-Mediterranean J. Environ. Integr. 2. https://doi.org/10.1007/s41207-017-0035-8 · DOI
  105. Rojo, F., 2017. Traits allowing resistance to organic solvents in Pseudomonas. Environ. Microbiol. 19, 417–419. https://doi.org/10.1111/1462-2920.13631 · DOI
  106. Rolbiecki, D., Harnisz, M., Korzeniewska, E., Buta, M., Hubeny, J., Zieliński, W., 2021. Detection of carbapenemase-producing, hypervirulent Klebsiella spp. in wastewater and their potential transmission to river water and WWTP employees. Int. J. Hyg. Environ. Health 237. https://doi.org/10.1016/j.ijheh.2021.113831 · DOI
  107. Rossetti, S., Tomei, M.C., Nielsen, P.H., Tandoi, V., 2005. “microthrix parvicella”, a filamentous bacterium causing bulking and foaming in activated sludge systems: A review of current knowledge. FEMS Microbiol. Rev. 29, 49–64. https://doi.org/10.1016/j.femsre.2004.09.005 · DOI
  108. Rummel, C.D., Schäfer, H., Jahnke, A., Arp, H.P.H., Schmitt-Jansen, M., 2022. Effects of leachates from UV-weathered microplastic on the microalgae Scenedesmus vacuolatus. Anal. Bioanal. Chem. 414, 1469–1479. https://doi.org/10.1007/s00216-021-03798-3 · DOI
  109. Sarshar, M., Behzadi, P., Scribano, D., Palamara, A.T., Ambrosi, C., 2021. Acinetobacter baumannii: An ancient commensal with weapons of a pathogen. Pathogens 10. https://doi.org/10.3390/pathogens10040387 · DOI
  110. Satoto, R., Subowo, W.S., Yusiasih, R., Takane, Y., Watanabe, Y., Hatakeyama, T., 1997. Weathering of high-density polyethylene in different latitudes. Polym. Degrad. Stab. 56, 275–279. https://doi.org/10.1016/S0141-3910(96)00213-3 · DOI
  111. Seabold, S., Perktold, J., 2010. Statsmodels: Econometric and Statistical Modeling with Python. Proc. 9th Python Sci. Conf. 92–96. https://doi.org/10.25080/majora-92bf1922-011 · DOI
  112. Sinton, L.W., Donnison, A.M., Hastie, C.M., 1993. Faecal streptococci as faecal pollution indicators: A review. Part II: Sanitary significance, survival, and use. New Zeal. J. Mar. Freshw. Res. 27, 117–137. https://doi.org/10.1080/00288330.1993.9516550 · DOI
  113. Song, J., Jongmans-Hochschulz, E., Mauder, N., Imirzalioglu, C., Wichels, A., Gerdts, G., 2020. The Travelling Particles: Investigating microplastics as possible transport vectors for multidrug resistant E. coli in the Weser estuary (Germany). Sci. Total Environ. 720. https://doi.org/10.1016/j.scitotenv.2020.137603 · DOI
  114. Sukumaran, J., Holder, M.T., 2010. DendroPy: A Python library for phylogenetic computing. Bioinformatics 26, 1569–1571. https://doi.org/10.1093/bioinformatics/btq228 · DOI
  115. Sun, Y., Cao, N., Duan, C., Wang, Q., Ding, C., Wang, J., 2021. Selection of antibiotic resistance genes on biodegradable and non-biodegradable microplastics. J. Hazard. Mater. 409. https://doi.org/10.1016/j.jhazmat.2020.124979 · DOI
  116. Tiwari, A., Hokajärvi, A.M., Domingo, J.S., Elk, M., Jayaprakash, B., Ryu, H., Siponen, S., Vepsäläinen, A., Kauppinen, A., Puurunen, O., Artimo, A., Perkola, N., Huttula, T., Miettinen, I.T., Pitkänen, T., 2021. Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production. Environ. Microbiomes 16, 1–17. https://doi.org/10.1186/s40793-021-00379-w · DOI
  117. Vaksmaa, A., Knittel, K., Abdala Asbun, A., Goudriaan, M., Ellrott, A., Witte, H.J., Vollmer, I., Meirer, F., Lott, C., Weber, M., Engelmann, J.C., Niemann, H., 2021. Microbial Communities on Plastic Polymers in the Mediterranean Sea. Front. Microbiol. 12, 1–15. https://doi.org/10.3389/fmicb.2021.673553 · DOI
  118. Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S.J., Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Polat, İ., Feng, Y., Moore, E.W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F., van Mulbregt, P., Vijaykumar, A., Bardelli, A. Pietro, Rothberg, A., Hilboll, A., Kloeckner, A., Scopatz, A., Lee, A., Rokem, A., Woods, C.N., Fulton, C., Masson, C., Häggström, C., Fitzgerald, C., Nicholson, D.A., Hagen, D.R., Pasechnik, D. V., Olivetti, E., Martin, E., Wieser, E., Silva, F., Lenders, F., Wilhelm, F., Young, G., Price, G.A., Ingold, G.L., Allen, G.E., Lee, G.R., Audren, H., Probst, I., Dietrich, J.P., Silterra, J., Webber, J.T., Slavič, J., Nothman, J., Buchner, J., Kulick, J., Schönberger, J.L., de Miranda Cardoso, J.V., Reimer, J., Harrington, J., Rodríguez, J.L.C., Nunez-Iglesias, J., Kuczynski, J., Tritz, K., Thoma, M., Newville, M., Kümmerer, M., Bolingbroke, M., Tartre, M., Pak, M., Smith, N.J., Nowaczyk, N., Shebanov, N., Pavlyk, O., Brodtkorb, P.A., Lee, P., McGibbon, R.T., Feldbauer, R., Lewis, S., Tygier, S., Sievert, S., Vigna, S., Peterson, S., More, S., Pudlik, T., Oshima, T., Pingel, T.J., Robitaille, T.P., Spura, T., Jones, T.R., Cera, T., Leslie, T., Zito, T., Krauss, T., Upadhyay, U., Halchenko, Y.O., Vázquez-Baeza, Y., 2020. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17. https://doi.org/10.1038/s41592-019-0686-2 · DOI · Paper page
  119. Wang, F.H., Qiao, M., Su, J.Q., Chen, Z., Zhou, X., Zhu, Y.G., 2014. High throughput profiling of antibiotic resistance genes in urban park soils with reclaimed water irrigation. Environ. Sci. Technol. 48, 9079–9085. https://doi.org/10.1021/es502615e · DOI
  120. Wang, H., Knabe, D., Engelhardt, I., Droste, B., Rohns, H.P., Stumpp, C., Ho, J., Griebler, C., 2022. Dynamics of pathogens and fecal indicators during riverbank filtration in times of high and low river levels. Water Res. 209. https://doi.org/10.1016/j.watres.2021.117961 · DOI
  121. Wang, S., Xue, N., Li, W., Zhang, D., Pan, X., Luo, Y., 2020. Selectively enrichment of antibiotics and ARGs by microplastics in river, estuary and marine waters. Sci. Total Environ. 708, 134594. https://doi.org/10.1016/j.scitotenv.2019.134594 · DOI
  122. Wang, Z., Gao, J., Dai, H., Zhao, Y., Li, D., Duan, W., Guo, Y., 2021. Microplastics affect the ammonia oxidation performance of aerobic granular sludge and enrich the intracellular and extracellular antibiotic resistance genes. J. Hazard. Mater. 409. https://doi.org/10.1016/j.jhazmat.2020.124981 · DOI
  123. Wickham, H., 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. · DOI
  124. Wilkinson, J.L., Boxall, A.B.A., Kolpin, D.W., Leung, K.M.Y., Lai, R.W.S., Wong, D., Ntchantcho, R., Pizarro, J., Mart, J., Echeverr, S., Garric, J., Chaumot, A., Gibba, P., Kunchulia, I., Seidensticker, S., Lyberatos, G., Morales-salda, J.M., Kang, H., 2022. Pharmaceutical pollution of the world ’ s rivers 119, 1–10. https://doi.org/10.1073/pnas.2113947119/-/DCSupplemental.Published · DOI
  125. Wood, D.E., Lu, J., Langmead, B., 2019. Improved metagenomic analysis with Kraken 2. Genome Biol. 20, 1–13. https://doi.org/10.1186/s13059-019-1891-0 · DOI
  126. Wright, R.J., Comeau, A.M., Langille, M.G.I., 2023. From defaults to databases: parameter and database choice dramatically impact the performance of metagenomic taxonomic classification tools. Microbiol. Soc.
  127. Wright, R.J., Erni-Cassola, G., Zadjelovic, V., Latva, M., Christie-Oleza, J.A., 2020. Marine Plastic Debris: A New Surface for Microbial Colonization. Environ. Sci. Technol. https://doi.org/10.1021/acs.est.0c02305 · DOI
  128. Wu, X., Pan, J., Li, M., Li, Y., Bartlam, M., Wang, Y., 2019. Selective enrichment of bacterial pathogens by microplastic biofilm. Water Res. 165, 114979. https://doi.org/10.1016/j.watres.2019.114979 · DOI
  129. Xu, B., Liu, F., Brookes, P.C., Xu, J., 2018. The sorption kinetics and isotherms of sulfamethoxazole with polyethylene microplastics. Mar. Pollut. Bull. 131, 191–196. https://doi.org/10.1016/j.marpolbul.2018.04.027 · DOI
  130. Yamane, K., Wachino, J.I., Suzuki, S., Kimura, K., Shibata, N., Kato, H., Shibayama, K., Konda, T., Arakawa, Y., 2007. New plasmid-mediated fluoroquinolone efflux pump, QepA, found in an Escherichia coli clinical isolate. Antimicrob. Agents Chemother. 51, 3354–3360. https://doi.org/10.1128/AAC.00339-07 · DOI
  131. Yang, Y., Liu, G., Song, W., Ye, C., Lin, H., Li, Z., Liu, W., 2019. Plastics in the marine environment are reservoirs for antibiotic and metal resistance genes. Environ. Int. 123, 79–86. https://doi.org/10.1016/j.envint.2018.11.061 · DOI
  132. Yi, X., Liang, J.-L., Su, J.-Q., Jia, P., Lu, J., Zheng, J., Wang, Z., Feng, S., Luo, Z., Ai, H., Liao, B., Shu, W., Li, J., Zhu, Y.-G., 2022. Globally distributed mining-impacted environments are underexplored hotspots of multidrug resistance genes. ISME J. 1–15. https://doi.org/10.1038/s41396-022-01258-z · DOI
  133. Zadjelovic, V., Erni-Cassola, G., Obrador-Viel, T., Lester, D., Eley, Y., Gibson, M.I., Dorador, C., Golyshin, P.N., Black, S., Wellington, E.M.H., Christie-Oleza, J.A., 2022. A Mechanistic Understanding of Polyethylene Biodegradation by the Marine Bacterium Alcanivorax. J. Hazard. Mater. 436, 129278. https://doi.org/10.1016/j.jhazmat.2022.129278 · DOI
  134. Zettler, E.R., Mincer, T.J., Amaral-Zettler, L.A., 2013. Life in the “plastisphere”: Microbial communities on plastic marine debris. Environ. Sci. Technol. 47, 7137–7146. https://doi.org/10.1021/es401288x · DOI · Paper page
  135. Zhang, C., Cui, F., Zeng, G. ming, Jiang, M., Yang, Z. zhu, Yu, Z. gang, Zhu, M. ying, Shen, L. qing, 2015. Quaternary ammonium compounds (QACs): A review on occurrence, fate and toxicity in the environment. Sci. Total Environ. 518–519, 352–362. https://doi.org/10.1016/j.scitotenv.2015.03.007 · DOI
  136. Zhao, L., Brugel, S., Ramasamy, K.P., Andersson, A., 2022. Response of Coastal Shewanella and Duganella Bacteria to Planktonic and Terrestrial Food Substrates. Front. Microbiol. 12, 1–14. https://doi.org/10.3389/fmicb.2021.726844 · DOI

Metadata

Authors
Zadjelovic, V., Wright, R. J., Borsetto, C., Quartey, J., Cairns, T. N., Langille, M. G. I., Wellington, E. M. H., & Christie-Oleza, J. A.
Affiliations
  • Universidad de Antofagasta (CL)
  • Dalhousie University (CA)
  • University of Warwick (GB)
  • University of the Balearic Islands
Corresponding author
  • Zadjelovic, Vinko
  • Wellington, Elizabeth M. H.
Venue
Microbiome
Published
2023-05-08
Volume
11
Issue
1
Pages
225-225
ISSN
2049-2618 (ISSN-L)
OpenAlex
W4388085921
Cited by
87
References
159
Citations by year
2026: 33 · 2025: 30 · 2024: 23 · 2023: 1
FWCI
5.81
Type
journal article
Language
en
Open access
Locations
  • Microbiome (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Warwick Research Archive Portal (University of Warwick) (acceptedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Agencia Nacional de Investigación y Desarrollo (MCIN/ AEI/10.13039/501100011033, 2022 / Folio 85220034, 85220034)
  • Natural Environment Research Council (NE/T013230/1, NE/S005501/1, RYC- 2017-22452)
  • Agencia Estatal de Investigación (AEI//10.13039/501100011033/, PID2019-109509RB-I00 / MCIN/AEI/10.13039/501100011033, 501100011033, by MCIN/AEI/10.13039/501100011033, 10.13039/501100011033, MCIN/AEI/10.13039/501 100 011 033, 13039, PID2019-109509RB-I00, .13039/501100011033, 10.13039, AEI/10, PID2019)
  • European Social Fund (PID2019, RYC‐2017‐22452, MCIN/AEI/10.13039/ 501100011033, 501100011033, AEI/10.13039/501100011033)
Topics
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
Keywords
plastisphere, antimicrobial resistance genes, plastic pollution, opportunistic pathogens, Escherichia, metagenome-assembled genomes, virulence genes, antibiotic exposure, bacterioplankton, Pseudomonas aeruginosa, Acinetobacter, Aeromonas, Klebsiella, Streptococcus
MeSH terms
Anti-Bacterial Agents, Bacteria, Genes, Bacterial, Water, Lincosamides, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review