The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Influence of soil characteristics and metal(loid)s on antibiotic resistance genes in green stormwater infrastructure in Southern California
Open accessAbstract
The synergetic effects of metal(loid)s and soil characteristics on bacterial antibiotic resistance genes (ARGs) in green stormwater infrastructure (GSI) has been relatively understudied. Surface soil samples from six GSIs in Southern California over three time periods were assessed for selected ARGs, class 1 integron-integrase genes (intI1), 16S rRNA genes, and bioavailable and total concentrations of nine metal(loid)s, to investigate the relationships among ARGs, soil characteristics, and co-occurring metal(loid)s. Significant correlations existed among relative gene abundances (sul1, sul2, tetW, and intI1), total metal(loid)s (arsenic, copper, lead, vanadium, and zinc), and bioavailable metal(loid) (arsenic) (r = 0.29-0.61, p adj < 0.05). Additionally, soil texture, organic matter, and nutrients within GSI appeared to be significantly correlated with relative gene abundances of sul1, sul2, and tetW (r = -0.57 to 0.59, p adj < 0.05). Multiple regression models significantly improved the estimation of ARGs in GSI when considering multiple effects of soil characteristics and metal(loid)s (r = 0.74, p adj < 0.001) compared to correlation results. Total arsenic was a significant (positive) correlate in all the regression models of relative gene abundances. This work provides new insights into co-dependencies between GSI ARGs and co-occurring metal(loid)s, indicating the need for risk assessment of metal(loid)-influenced ARG proliferation.
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.
Integrity signals
Registry
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Horizontal gene transfer is likely occurring in GSI soils, as heavy metals are abundant in stormwater runoff and have been found to accumulate in GSI soils.
“However, HGT is likely occurring in GSI soils as heavy metals are abundant in stormwater runoff and have been found to accumulate in GSI soils (Hung et al., 2022).”
From Review of emerging contaminants in green stormwater infrastructure: antibiotic resistance genes, microplastics, tire wear particles, PFAS, and temperature (2024) · cites this paper as Hung et al., 2022
Section 4.2 states that metal(loid)s are often present at high concentrations in stormwater runoff and can accumulate in GSI soils. Section 4.4 reports correlations that suggest HGT may facilitate the spread of resistance genes in GSI soils, but does not establish that HGT is likely occurring because of the accumulated metals. (LLM, conf=0.84)
Experimental — accuracy not yet measuredElevated concentrations of the sul1 ARG have been reported in GSI bioswale and bioretention systems in comparison to native soils.
“Elevated con centrations of the sul 1 ARG, a gene that confers resistance to sulfon amide antibiotics, have been reported in GSI bioswale and bioretention systems in comparison to native soils (Hung et al., 2022).”
From Review of emerging contaminants in green stormwater infrastructure: antibiotic resistance genes, microplastics, tire wear particles, PFAS, and temperature (2024) · cites this paper as Hung et al., 2022
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
Cites
The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303
MOBILITY AND BIOAVAILABILITY OF HEAVY METALS AND METALLOIDS IN SOIL ENVIRONMENTS
Violante, A., Cozzolino, V, Perelomov, L., Caporale, A. G., & Pigna, M. (2010) · Journal of Soil Science and Plant Nutrition · doi:10.4067/s0718-95162010000100005 · Cited by 957
Karkman, A., Pärnänen, K., & Larsson, D. G. J. (2019) · Nature Communications · doi:10.1038/s41467-018-07992-3 · Cited by 628
Oxytocin pathway gene networks in the human brain
Quintana, D. S., Rokicki, J., van der Meer, D., Alnæs, D., Kaufmann, T., Córdova-Palomera, A., Dieset, I., Andreassen, O. A., & Westlye, L. T. (2019) · Nature Communications · doi:10.1038/s41467-019-08503-8 · Cited by 354
Al-Ameri, M., Hatt, B., Le Coustumer, S., Fletcher, T., Payne, E., & Deletic, A. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.03.027 · Cited by 75
Flagged first, then by citations
Research works printed but not linked: 68
- Ahn, 2005, Coastal water quality impact of stormwater runoff from an urban watershed in Southern California, Environ. Sci. Technol., 39, 5940, 10.1021/es0501464 · DOI
- Ambrose, 2015, Comparison of stormwater biofiltration systems in Southeast Australia and Southern California, Wiley Interdiscip. Rev. Water, 2, 131, 10.1002/wat2.1064 · DOI
- Arya, 2021, Towards a general model for predicting minimal metal concentrations co-selecting for antibiotic resistance plasmids, Environ. Pollut., 275, 10.1016/j.envpol.2021.116602 · DOI
- Askarizadeh, 2015, From rain tanks to catchments: use of low-impact development to address hydrologic symptoms of the urban stream syndrome, Environ. Sci. Technol., 49, 11264, 10.1021/acs.est.5b01635 · DOI · Paper page
- Association of Official Analytical Chemists (AOAC), 1997. Official Method 972.43, Microchemical determination of carbon, hydrogen, and nitrogen, in: Proceeding of the Official Methods of Analysis of AOAC International. AOAC International, Arlington, VA, pp. 5–6.
- Baker-Austin, 2006, Co-selection of antibiotic and metal resistance, Trends Microbiol., 14, 176, 10.1016/j.tim.2006.02.006 · DOI
- Benjamini, 1995, Controlling the false discovery rate: a practical and powerful approach to multiple testing Yoav Benjamini, Yosef Hochberg J. R. Stat. Soc. Ser. B, 57, 57
- Blecken, 2009, Influence of intermittent wetting and drying conditions on heavy metal removal by stormwater biofilters, Water Res., 43, 4590, 10.1016/j.watres.2009.07.008 · DOI · Paper page
- Chen, 2005, Assessment of heavy metal pollution in surface soils of urban parks in Beijing, China. Chemosphere, 60, 542, 10.1016/j.chemosphere.2004.12.072 · DOI
- Chee-Sanford, 2009, Fate and transport of antibiotic residues and antibiotic resistance genes following land application of manure waste, J. Environ. Qual., 38, 1086, 10.2134/jeq2008.0128 · DOI
- Cira, 2021, Commercially available garden products as important sources of antibiotic resistance genes—a survey, Environ. Sci. Pollut. Res., 28, 43507, 10.1007/s11356-021-13333-7 · DOI
- Cui, 2016, Effect of different biochars on antibiotic resistance genes and bacterial community during chicken manure composting, Bioresour. Technol., 203, 11, 10.1016/j.biortech.2015.12.030 · DOI
- Cycoń, 2019, Antibiotics in the soil environment—degradation and their impact on microbial activity and diversity, Front. Microbiol., 10, 338, 10.3389/fmicb.2019.00338 · DOI
- Czekalski, 2015, Does human activity impact the natural antibiotic resistance background? Abundance of antibiotic resistance genes in 21 Swiss lakes, Environ. Int., 81, 45, 10.1016/j.envint.2015.04.005 · DOI
- Di Cesare, 2016, Co-selection of antibiotic and heavy metal resistance in freshwater bacteria, J. Limnol., 75, 59, 10.4081/jlimnol.2016.1198 · DOI
- Dorsey, 2013, An assessment of fecal indicator and other bacteria from an urbanized coastal lagoon in the City of Los Angeles, California, USA, Environ. Monit. Assess., 185, 2647, 10.1007/s10661-012-2737-3 · DOI
- Echeverria-Palencia, 2017, Disparate antibiotic resistance gene quantities revealed across 4 major cities in California: a survey in drinking water, air, and soil at 24 public parks, ACS Omega, 2, 2255, 10.1021/acsomega.7b00118 · DOI
- Fahrenfeld, 2013, Reclaimed water as a reservoir of antibiotic resistance genes: Distribution system and irrigation implications, Front. Microbiol., 4, 1, 10.3389/fmicb.2013.00130 · DOI
- Gao, 2012, Correlation of tetracycline and sulfonamide antibiotics with corresponding resistance genes and resistant bacteria in a conventional municipal wastewater treatment plant, Sci. Total Environ., 421–422, 173, 10.1016/j.scitotenv.2012.01.061 · DOI
- Garner, 2017, Stormwater loadings of antibiotic resistance genes in an urban stream, Water Res., 123, 144, 10.1016/j.watres.2017.06.046 · DOI · Paper page
- Gillings, 2015, Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution, ISME J., 9, 1269, 10.1038/ismej.2014.226 · DOI
- Graham, 2011, Antibiotic resistance gene abundances associated with waste discharges to the Almendares river near Havana, Cuba, Environ. Sci. Technol., 45, 418, 10.1021/es102473z · DOI
- Grant, 2013, Adapting urban water systems to a changing climate: lessons from the millennium drought in southeast Australia, Environ. Sci. Technol., 47, 10727, 10.1021/es400618z · DOI
- Grant, 2012, Taking the “waste” out of “wastewater” for human water security and ecosystem sustainability, Sci. (80-.), 337, 681, 10.1126/science.1216852 · DOI
- He, 2014, Dissemination of antibiotic resistance genes in representative broiler feedlots environments: Identification of indicator ARGs and correlations with environmental variables, Environ. Sci. Technol., 48, 13120, 10.1021/es5041267 · DOI
- He, 2016, Discharge of swine wastes risks water quality and food safety: antibiotics and antibiotic resistance genes from swine sources to the receiving environments, Environ. Int., 92–93, 210, 10.1016/j.envint.2016.03.023 · DOI
- Helsel, 1986, Estimation of distributional parameters for censored water quality data, Dev. Water Sci., 27, 137
- Hu, 2017, Long-term nickel contamination increases the occurrence of antibiotic resistance genes in agricultural soils, Environ. Sci. Technol., 51, 790, 10.1021/acs.est.6b03383 · DOI
- Hung, 2018, Preliminary assessment of lead concentrations in topsoil of 100 parks in Los Angeles, California, Appl. Geochem., 99, 13, 10.1016/j.apgeochem.2018.10.003 · DOI
- Isaac Najera, Chu-Ching Lin, Golenaz Adeli Kohbodi, Jay*, J.A., 2005. Effect of Chemical Speciation on Toxicity of Mercury to Escherichia coli Biofilms and Planktonic Cells. https://doi.org/10.1021/ES048549B. · DOI
- Jang, 2018, Response of antibiotic and heavy metal resistance genes to two different temperature sequences in anaerobic digestion of waste activated sludge, Bioresour. Technol., 267, 303, 10.1016/j.biortech.2018.07.051 · DOI
- Jechalke, 2015, Effects of 100 years wastewater irrigation on resistance genes, class 1 integrons and IncP-1 plasmids in Mexican soil, Front. Microbiol., 6, 1, 10.3389/fmicb.2015.00163 · DOI
- Ji, 2012, Antibiotic resistance gene abundances associated with antibiotics and heavy metals in animal manures and agricultural soils adjacent to feedlots in Shanghai; China, J. Hazard. Mater., 235–236, 178, 10.1016/j.jhazmat.2012.07.040 · DOI
- Knapp, 2017, Relationship between antibiotic resistance genes and metals in residential soil samples from Western Australia, Environ. Sci. Pollut. Res., 24, 2484, 10.1007/s11356-016-7997-y · DOI
- Knapp, 2011, Antibiotic resistance gene abundances correlate with metal and geochemical conditions in archived Scottish soils, PLoS One, 6, 10.1371/journal.pone.0027300 · DOI
- Lee, 2004, Seasonal first flush phenomenon of urban stormwater discharges, Water Res., 38, 4153, 10.1016/j.watres.2004.07.012 · DOI
- Li, 2012, Temporal variation of heavy metal pollution in urban stormwater runoff, Front. Environ. Sci. Eng. China, 6, 692, 10.1007/s11783-012-0444-5 · DOI
- Manaia, 2016, Antibiotic resistance in urban aquatic environments: can it be controlled?, Appl. Microbiol. Biotechnol., 100, 1543, 10.1007/s00253-015-7202-0 · DOI
- Mao, 2014, Persistence of extracellular DNA in river sediment facilitates antibiotic resistance gene propagation, Environ. Sci. Technol., 48, 71, 10.1021/es404280v · DOI
- Mao, 2015, Prevalence and proliferation of antibiotic resistance genes in two municipal wastewater treatment plants, Water Res., 85, 458, 10.1016/j.watres.2015.09.010 · DOI
- Martínez, 2008, Antibiotics and antibiotic resistance genes in natural environments, Sci. (80-.), 321, 365, 10.1126/science.1159483 · DOI
- Olaniran, 2013, Bioavailability of heavy metals in soil: impact on microbial biodegradation of organic compounds and possible improvement strategies, Int. J. Mol. Sci., 14, 10197, 10.3390/ijms140510197 · DOI
- Parker, 2017, Predictive power of clean bed filtration theory for fecal indicator bacteria removal in stormwater biofilters, Environ. Sci. Technol., 51, 5703, 10.1021/acs.est.7b00752 · DOI
- Peng, 2016, Indicator and pathogen removal by low impact development best management practices, Water (Switz.), 8, 1
- Pierce, 2021, Environmental attitudes and knowledge: do they matter for support and investment in local stormwater infrastructure?, Soc. Nat. Resour., 34, 885, 10.1080/08941920.2021.1900963 · DOI
- Powers, 2020, Relationship between rainfall, fecal pollution, antimicrobial resistance, and microbial diversity in an urbanized subtropical bay, Appl. Environ. Microbiol., 86, 1, 10.1128/AEM.01229-20 · DOI
- Roosa, 2014, Bacterial metal resistance genes and metal bioavailability in contaminated sediments, Environ. Pollut., 189, 143, 10.1016/j.envpol.2014.02.031 · DOI
- Rottle, 2018, From the household to watershed: a cross-scale analysis of residential intention to adopt green stormwater infrastructure, Landsc. Urban Plan., 180, 195, 10.1016/j.landurbplan.2018.09.005 · DOI · Paper page
- Rottle, 2013, Urban green infrastructure for climate benefit: global to local, Nord. J. Archit. Res., 25, 43
- Sanders, 2020, Re‐envisioning stormwater infrastructure for ultrahazardous flooding, WIREs Water, 7, 1, 10.1002/wat2.1414 · DOI
- Sansalone, 1997, Partitioning and first flush of metals in urban roadway storm water, J. Environ. Eng., 123, 134, 10.1061/(ASCE)0733-9372(1997)123:2(134) · DOI · Paper page
- Schlüter, A., Heuer, H., Szczepanowski, R., Forney, L.J., Thomas, C.M., Pühler, A., Top, E.M., 2007. The 64 508 bp IncP-1b antibiotic multiresistance plasmid pB10 isolated from a waste-water treatment plant provides evidence for recombination between members of different branches of the IncP-1b group. https://doi.org/10.1099/mic.0.26570–0. · DOI
- Seiler, 2012, Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture, Front. Microbiol., 3, 399, 10.3389/fmicb.2012.00399 · DOI · Paper page
- Sidhu, 2012, Prevalence of human pathogens and indicators in stormwater runoff in Brisbane, Australia, Water Res., 46, 6652, 10.1016/j.watres.2012.03.012 · DOI
- Singer, 2016, Review of antimicrobial resistance in the environment and its relevance to environmental regulators, Front. Microbiol., 7, 1, 10.3389/fmicb.2016.01728 · DOI
- Smith, 2013, Geochemical and mineralogical data for soils of the conterminous United States, Reston, Virginia
- Stepanauskas, 2006, Coselection for microbial resistance to metals and antibiotics in freshwater microcosms, Environ. Microbiol., 8, 1510, 10.1111/j.1462-2920.2006.01091.x · DOI
- Su, 2014, Contamination profiles of antibiotic resistance genes in the sediments at a catchment scale, Sci. Total Environ., 490, 708, 10.1016/j.scitotenv.2014.05.060 · DOI
- Templ, 2008, Cluster analysis applied to regional geochemical data: problems and possibilities, Appl. Geochem., 23, 2198, 10.1016/j.apgeochem.2008.03.004 · DOI
- Tessier, 1979, Sequential extraction procedure for the speciation of particulate trace metals, Anal. Chem., 51, 844, 10.1021/ac50043a017 · DOI · Paper page
- U.S. Department of Agriculture, 1998, Soil quality information sheet, Eur. J. Soil Biol.
- U.S. Environmental Protection Agency, 1996. Method 3050B: Acid digestion of sediments, sludges, and soils., 1996. Washington, DC. https://doi.org/10.1117/12.528651. · DOI
- Wang, 2016, Influence of soil characteristics and proximity to antarctic research stations on abundance of antibiotic resistance genes in soils, Environ. Sci. Technol., 50, 12621, 10.1021/acs.est.6b02863 · DOI
- Wang, 2020, Prediction models of soil heavy metal(loid)s concentration for agricultural land in Dongli: a comparison of regression and random forest, Ecol. Indic., 119, 10.1016/j.ecolind.2020.106801 · DOI
- Wang, 2020, Heavy metal copper accelerates the conjugative transfer of antibiotic resistance genes in freshwater microcosms, Sci. Total Environ., 717, 10.1016/j.scitotenv.2020.137055 · DOI
- Zhang, 2018, Bacterial community structure and abundances of antibiotic resistance genes in heavy metals contaminated agricultural soil, Environ. Sci. Pollut. Res., 25, 9547, 10.1007/s11356-018-1251-8 · DOI
- Zhao, 2017, Nutrients, heavy metals and microbial communities co-driven distribution of antibiotic resistance genes in adjacent environment of mariculture, Environ. Pollut., 220, 909, 10.1016/j.envpol.2016.10.075 · DOI
- Zhou, 2021, Vertical distribution of antibiotic resistance genes in an urban green facade, Environ. Int., 152, 10.1016/j.envint.2021.106502 · DOI
Cited by
Sorted by citations
Bodus, B., O'Malley, K., Dieter, G., Gunawardana, C., & McDonald, W. (2024) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167195 · Cited by 76
Metadata
- Authors
- Hung, W.-C., Rugh, M., Feraud, M., Avasarala, S., Kurylo, J., Gutierrez, M., Jimenez, K., Truong, N., Holden, P. A., Grant, S. B., Liu, H., Ambrose, R. F., & Jay, J. A.
- Affiliations
- University of California, Los Angeles (US)
- University of California, Santa Barbara (US)
- University of Tennessee at Knoxville (US)
- Virginia Tech (US)
- University of California, Riverside (US)
- Corresponding author
- Jay, Jennifer A.
- ORCID
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 424
- Issue
- Pt B
- Pages
- 127469
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W3205478120
- Cited by
- 17
- References
- 5
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 3
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 255 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Journal of Hazardous Materials (acceptedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- VTechWorks (Virginia Tech) (submittedVersion)
- Funders
- National Science Foundation (0963183)
- Office of the President, University of California (MRP-17-455083)
- Topics
- Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Keywords
- antibiotic resistance genes, green stormwater infrastructure, metal(loid)s, arsenic, soil properties, soil texture, soil organic matter, soil nutrients, sul1, sul2, tetW, intI1, class 1 integron, bioavailable metals, urban stormwater, Southern California
- MeSH terms
- Anti-Bacterial Agents, Genes, Bacterial, RNA, Ribosomal, 16S, Soil, Soil Microbiology, Drug Resistance, Bacterial
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