Assessment of global health risk of antibiotic resistance genes
Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expres...
Saved in:
| Published in | Nature communications Vol. 13; no. 1; pp. 1553 - 11 |
|---|---|
| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
23.03.2022
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health.
Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health. Here, Zhang et al. analyze 4572 metagenomic samples to illustrate the global patterns of ARG distribution in diverse habitats. They quantitatively evaluate the health risk to humans of 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. With the machine learning, they map the antibiotic resistance threats in global marine habitats. |
|---|---|
| AbstractList | Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health. Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health.Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health. Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health. Here, Zhang et al. analyze 4572 metagenomic samples to illustrate the global patterns of ARG distribution in diverse habitats. They quantitatively evaluate the health risk to humans of 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. With the machine learning, they map the antibiotic resistance threats in global marine habitats. Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health.Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health. Here, Zhang et al. analyze 4572 metagenomic samples to illustrate the global patterns of ARG distribution in diverse habitats. They quantitatively evaluate the health risk to humans of 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. With the machine learning, they map the antibiotic resistance threats in global marine habitats. Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health. Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health. Here, Zhang et al. analyze 4572 metagenomic samples to illustrate the global patterns of ARG distribution in diverse habitats. They quantitatively evaluate the health risk to humans of 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. With the machine learning, they map the antibiotic resistance threats in global marine habitats. |
| ArticleNumber | 1553 |
| Author | Hong, Wenjie Gillings, Michael Qian, Haifeng Wang, Tingzhang Xu, Nuohan Zhang, Qi Zhang, Zhenyan Gao, Wenwen Lu, Tao Wang, Meixia Penuelas, Josep |
| Author_xml | – sequence: 1 givenname: Zhenyan surname: Zhang fullname: Zhang, Zhenyan organization: College of Environment, Zhejiang University of Technology – sequence: 2 givenname: Qi surname: Zhang fullname: Zhang, Qi organization: College of Environment, Zhejiang University of Technology – sequence: 3 givenname: Tingzhang surname: Wang fullname: Wang, Tingzhang organization: Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province – sequence: 4 givenname: Nuohan surname: Xu fullname: Xu, Nuohan organization: College of Environment, Zhejiang University of Technology – sequence: 5 givenname: Tao orcidid: 0000-0002-2030-3813 surname: Lu fullname: Lu, Tao organization: College of Environment, Zhejiang University of Technology – sequence: 6 givenname: Wenjie surname: Hong fullname: Hong, Wenjie organization: Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province – sequence: 7 givenname: Josep orcidid: 0000-0002-7215-0150 surname: Penuelas fullname: Penuelas, Josep organization: CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, CREAF, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès – sequence: 8 givenname: Michael orcidid: 0000-0002-4043-4351 surname: Gillings fullname: Gillings, Michael organization: ARC Centre of Excellence in Synthetic Biology, Faculty of Science and Engineering, Macquarie University – sequence: 9 givenname: Meixia surname: Wang fullname: Wang, Meixia organization: Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province – sequence: 10 givenname: Wenwen surname: Gao fullname: Gao, Wenwen organization: Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province – sequence: 11 givenname: Haifeng orcidid: 0000-0003-0807-9991 surname: Qian fullname: Qian, Haifeng email: hfqian@zjut.edu.cn organization: College of Environment, Zhejiang University of Technology |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35322038$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9Uk1v1DAUtFARLaV_gAOKxIVLwHl2EucCqio-KlXiAmfrxX7Jesnaxc5W4t_jbEppe6gPtmXPzJtnz0t25IMnxl5X_H3FhfqQZCWbtuQAJXSgRKmesRPgsiqrFsTRvf0xO0tpy_MQXaWkfMGORS0AssoJ-3SeEqW0Iz8XYSjGKfQ4FRvCad4U0aVfyyn62fUuzM4UkZJLM3pDxUie0iv2fMAp0dntesp-fvn84-JbefX96-XF-VVpGt7M5VBZbnsEBIPESaCi2mDD7TCAbXhtjZLU1rzjXQOiAdV1tcjeEbgVllCcsstV1wbc6uvodhj_6IBOHw5CHDXGbHAiTXzoTdtJkjZPlqtsQVSGcFBdL6HNWh9Xret9vyNrcu8RpweiD2-82-gx3GjVScFlnQXe3QrE8HtPadY7lwxNE3oK-6ShkaBU3dZLrbePoNuwjz4_1QEFIre8CL657-jOyr9_ygBYASaGlCINd5CK6yUPes2DznnQhzzohaQekYybcXZh6cpNT1PFSk25jh8p_rf9BOsvTZ7JJQ |
| CitedBy_id | crossref_primary_10_1016_j_watres_2024_122106 crossref_primary_10_1007_s42832_024_0244_4 crossref_primary_10_1007_s42832_024_0283_x crossref_primary_10_1016_j_jhazmat_2024_135192 crossref_primary_10_1016_j_watres_2023_120682 crossref_primary_10_1016_j_envpol_2024_125582 crossref_primary_10_1016_j_cej_2024_157093 crossref_primary_10_1016_j_scitotenv_2023_168310 crossref_primary_10_1038_s41598_024_55776_1 crossref_primary_10_1021_acs_est_4c08284 crossref_primary_10_1016_j_jhazmat_2024_136045 crossref_primary_10_1016_j_enmm_2023_100789 crossref_primary_10_3390_nano13030475 crossref_primary_10_1016_j_seppur_2025_132377 crossref_primary_10_1021_acsnano_4c07885 crossref_primary_10_1016_j_jclepro_2024_143152 crossref_primary_10_1016_j_cej_2024_148938 crossref_primary_10_1016_j_jes_2024_01_030 crossref_primary_10_1016_j_envpol_2023_122902 crossref_primary_10_1016_j_jhazmat_2024_133577 crossref_primary_10_1016_j_ultsonch_2023_106570 crossref_primary_10_1016_j_chemosphere_2023_139905 crossref_primary_10_1016_j_jhazmat_2024_135757 crossref_primary_10_1016_j_enzmictec_2024_110544 crossref_primary_10_1021_acs_analchem_3c04539 crossref_primary_10_1016_j_ecoenv_2025_118014 crossref_primary_10_1093_femsec_fiae155 crossref_primary_10_1002_adma_202406910 crossref_primary_10_1016_j_watres_2024_121373 crossref_primary_10_1016_j_aquatox_2023_106803 crossref_primary_10_1021_acs_jafc_3c09160 crossref_primary_10_1016_j_jhazmat_2023_132528 crossref_primary_10_1016_j_watres_2025_123151 crossref_primary_10_1016_j_jclepro_2023_139169 crossref_primary_10_1016_j_watres_2023_120574 crossref_primary_10_1016_j_soh_2024_100077 crossref_primary_10_3390_toxins15040289 crossref_primary_10_1016_j_oneear_2024_11_017 crossref_primary_10_1016_j_jcis_2024_08_025 crossref_primary_10_1016_j_jclepro_2025_144778 crossref_primary_10_1016_j_envpol_2025_125736 crossref_primary_10_1016_j_jhazmat_2025_137785 crossref_primary_10_1080_19490976_2023_2297837 crossref_primary_10_1016_j_envint_2024_108920 crossref_primary_10_1016_j_eti_2024_103864 crossref_primary_10_1016_j_watres_2022_119285 crossref_primary_10_1128_msystems_00430_24 crossref_primary_10_1016_j_onano_2025_100238 crossref_primary_10_1016_j_jhazmat_2023_131443 crossref_primary_10_1016_j_jhazmat_2024_134775 crossref_primary_10_1128_msystems_00585_24 crossref_primary_10_1021_acs_est_2c08766 crossref_primary_10_1016_j_scitotenv_2025_178935 crossref_primary_10_1051_bioconf_20235901014 crossref_primary_10_1016_j_xinn_2024_100612 crossref_primary_10_1016_j_tibtech_2024_12_011 crossref_primary_10_1038_s41467_022_34312_7 crossref_primary_10_3389_fenvs_2022_921651 crossref_primary_10_3389_fmicb_2024_1384577 crossref_primary_10_1007_s11356_022_20325_8 crossref_primary_10_1016_j_jwpe_2024_106318 crossref_primary_10_1016_j_molstruc_2022_134810 crossref_primary_10_1093_nar_gkac920 crossref_primary_10_3389_fmicb_2022_1095128 crossref_primary_10_1021_acsnano_4c05443 crossref_primary_10_1016_j_isci_2023_107508 crossref_primary_10_1016_j_watres_2024_121958 crossref_primary_10_1016_j_watres_2024_121957 crossref_primary_10_1073_pnas_2302761120 crossref_primary_10_1007_s44169_022_00017_7 crossref_primary_10_1016_j_jhazmat_2022_130042 crossref_primary_10_1016_j_cej_2025_159656 crossref_primary_10_1016_j_envpol_2023_121831 crossref_primary_10_1016_j_ecoenv_2024_117340 crossref_primary_10_3390_v15010172 crossref_primary_10_1080_07853890_2025_2478317 crossref_primary_10_1016_j_cej_2024_151417 crossref_primary_10_1016_j_scitotenv_2024_175357 crossref_primary_10_1016_j_watres_2024_122598 crossref_primary_10_1038_s41598_023_27840_9 crossref_primary_10_1016_j_jes_2025_02_028 crossref_primary_10_1021_acs_est_4c04925 crossref_primary_10_1016_j_envres_2024_119056 crossref_primary_10_1016_j_envres_2024_119298 crossref_primary_10_1021_acs_est_3c01664 crossref_primary_10_1016_j_scitotenv_2024_174143 crossref_primary_10_1016_j_scitotenv_2024_174385 crossref_primary_10_1016_j_jenvman_2024_120614 crossref_primary_10_1016_j_eng_2023_09_021 crossref_primary_10_1016_j_envres_2023_116163 crossref_primary_10_1016_j_jhazmat_2024_134677 crossref_primary_10_1021_acs_est_3c07761 crossref_primary_10_1016_j_jhazmat_2024_136734 crossref_primary_10_1128_msystems_01372_24 crossref_primary_10_1016_j_seppur_2024_127025 crossref_primary_10_1007_s00134_024_07428_1 crossref_primary_10_1038_s41579_022_00746_5 crossref_primary_10_1080_10643389_2024_2344453 crossref_primary_10_1016_j_scitotenv_2022_159913 crossref_primary_10_1021_acs_inorgchem_5c00353 crossref_primary_10_1186_s40168_023_01715_7 crossref_primary_10_1016_j_envint_2024_108972 crossref_primary_10_1038_s41467_024_54237_7 crossref_primary_10_1016_j_scitotenv_2023_169567 crossref_primary_10_1016_j_jhazmat_2025_137852 crossref_primary_10_1002_ange_202313298 crossref_primary_10_1016_j_envint_2022_107647 crossref_primary_10_1016_j_jhazmat_2024_136366 crossref_primary_10_1016_j_scitotenv_2024_171481 crossref_primary_10_1021_acs_chemmater_3c02095 crossref_primary_10_1128_aem_01876_24 crossref_primary_10_1016_j_micres_2025_128086 crossref_primary_10_1016_j_watres_2023_120922 crossref_primary_10_1021_acs_jafc_3c05436 crossref_primary_10_1016_j_scitotenv_2023_162923 crossref_primary_10_1016_j_jhazmat_2023_131198 crossref_primary_10_1016_j_jhazmat_2024_134982 crossref_primary_10_3390_app13042322 crossref_primary_10_1016_j_jhazmat_2023_133136 crossref_primary_10_1099_mgen_0_001071 crossref_primary_10_1016_j_micromeso_2023_112810 crossref_primary_10_1002_imo2_70007 crossref_primary_10_3390_antibiotics12071147 crossref_primary_10_1038_s41467_024_49124_0 crossref_primary_10_1186_s40793_024_00557_6 crossref_primary_10_1016_j_indcrop_2024_119873 crossref_primary_10_1016_j_ese_2022_100233 crossref_primary_10_1016_j_fmre_2022_11_011 crossref_primary_10_3389_frabi_2023_1116785 crossref_primary_10_1016_j_jenvman_2023_118037 crossref_primary_10_1016_j_cej_2025_160070 crossref_primary_10_3390_toxics11020185 crossref_primary_10_1002_adfm_202212227 crossref_primary_10_1016_j_biortech_2023_128895 crossref_primary_10_1016_j_scitotenv_2023_169794 crossref_primary_10_1016_j_envres_2024_119116 crossref_primary_10_1016_j_jhazmat_2025_137180 crossref_primary_10_1016_j_micpath_2022_105953 crossref_primary_10_1016_j_watres_2023_119822 crossref_primary_10_1016_j_scitotenv_2024_176387 crossref_primary_10_1016_j_scitotenv_2022_160513 crossref_primary_10_1016_j_envpol_2023_123237 crossref_primary_10_1016_j_jwpe_2024_106021 crossref_primary_10_3389_fbioe_2022_1110376 crossref_primary_10_1016_j_biortech_2022_127824 crossref_primary_10_36111_jvmohr_2023_5_1_2__0035 crossref_primary_10_1016_j_fbio_2023_102709 crossref_primary_10_3389_fenvs_2023_1109298 crossref_primary_10_3389_fcimb_2024_1503892 crossref_primary_10_1007_s11274_023_03722_0 crossref_primary_10_1016_j_envres_2023_115616 crossref_primary_10_1128_spectrum_02918_23 crossref_primary_10_1016_j_envpol_2022_119396 crossref_primary_10_1016_j_scitotenv_2024_170716 crossref_primary_10_1016_j_scitotenv_2024_171806 crossref_primary_10_1016_j_bios_2024_116281 crossref_primary_10_1016_j_jhazmat_2024_134616 crossref_primary_10_1128_aem_01512_24 crossref_primary_10_1016_j_envpol_2025_125920 crossref_primary_10_1016_j_scitotenv_2024_174734 crossref_primary_10_3390_antibiotics14020129 crossref_primary_10_1038_s42003_023_05681_6 crossref_primary_10_1016_j_scitotenv_2024_173881 crossref_primary_10_1128_spectrum_01089_23 crossref_primary_10_2478_acve_2023_0019 crossref_primary_10_3390_ani13193083 crossref_primary_10_1016_j_chemosphere_2024_142854 crossref_primary_10_1016_j_biortech_2024_130905 crossref_primary_10_1016_j_horiz_2024_100128 crossref_primary_10_1021_acs_est_3c07559 crossref_primary_10_3389_fmicb_2024_1313056 crossref_primary_10_1002_advs_202410990 crossref_primary_10_1016_j_jhazmat_2024_134404 crossref_primary_10_1038_s41598_024_72467_z crossref_primary_10_3389_frabi_2022_1043302 crossref_primary_10_1128_spectrum_04108_23 crossref_primary_10_1016_j_micres_2024_127739 crossref_primary_10_1007_s40005_023_00641_y crossref_primary_10_1016_j_ecoenv_2025_117976 crossref_primary_10_1016_j_envint_2024_109038 crossref_primary_10_1016_j_envres_2024_118724 crossref_primary_10_3390_pr12081717 crossref_primary_10_1016_j_envpol_2024_125176 crossref_primary_10_3390_w16020248 crossref_primary_10_1016_j_jcis_2023_11_143 crossref_primary_10_1186_s40168_024_01965_z crossref_primary_10_1111_1462_2920_16175 crossref_primary_10_1016_j_envpol_2024_125614 crossref_primary_10_1016_j_envint_2024_108505 crossref_primary_10_1016_j_cej_2024_156297 crossref_primary_10_1016_j_watres_2024_121989 crossref_primary_10_1002_anie_202313298 crossref_primary_10_1016_j_watres_2024_122714 crossref_primary_10_1016_j_scitotenv_2023_166943 crossref_primary_10_1016_j_envint_2023_107903 crossref_primary_10_1016_j_ecoenv_2022_114247 crossref_primary_10_1016_j_biortech_2025_132288 crossref_primary_10_1016_j_watres_2024_122032 crossref_primary_10_1021_acs_est_4c13667 crossref_primary_10_1016_j_aquaculture_2025_742143 crossref_primary_10_3389_fvets_2024_1442159 crossref_primary_10_3390_inorganics11120466 crossref_primary_10_1007_s12668_025_01814_9 crossref_primary_10_1021_acs_est_3c07935 crossref_primary_10_1016_j_jenvman_2024_123719 crossref_primary_10_1016_j_nmni_2023_101104 crossref_primary_10_1016_j_jwpe_2024_105642 crossref_primary_10_1016_j_jhazmat_2024_135470 crossref_primary_10_1016_j_scitotenv_2024_177260 crossref_primary_10_1016_j_scitotenv_2022_160032 crossref_primary_10_3390_molecules29235725 crossref_primary_10_1016_j_cej_2024_153698 crossref_primary_10_33003_fjs_2024_0806_3094 crossref_primary_10_1080_10408398_2023_2177607 crossref_primary_10_1016_j_ecoenv_2022_114330 crossref_primary_10_1016_j_watres_2024_123030 crossref_primary_10_1016_j_scitotenv_2022_159847 crossref_primary_10_1016_j_scitotenv_2024_172801 crossref_primary_10_1016_j_jece_2025_115732 crossref_primary_10_1177_03091333241263796 crossref_primary_10_3389_fmicb_2023_1298681 crossref_primary_10_3389_fmicb_2023_1147007 crossref_primary_10_1016_j_watres_2024_121763 crossref_primary_10_1016_j_watres_2023_120859 crossref_primary_10_3390_biom14111358 crossref_primary_10_1016_j_envres_2024_119554 crossref_primary_10_1016_j_ecoenv_2023_114606 crossref_primary_10_1038_s43246_024_00446_y crossref_primary_10_1007_s00284_024_03653_5 crossref_primary_10_1007_s42770_023_00911_9 crossref_primary_10_3390_antibiotics12081270 crossref_primary_10_1016_j_cej_2024_157126 crossref_primary_10_3389_fmicb_2024_1395401 crossref_primary_10_1016_j_mimet_2023_106815 crossref_primary_10_1111_1749_4877_12778 crossref_primary_10_1016_j_scitotenv_2023_162046 crossref_primary_10_3390_microorganisms12050911 crossref_primary_10_1007_s11356_023_31287_w crossref_primary_10_1016_j_aquatox_2023_106513 crossref_primary_10_1016_j_seppur_2024_131141 crossref_primary_10_1186_s40168_024_01983_x crossref_primary_10_1016_j_jes_2024_10_008 crossref_primary_10_1016_j_envpol_2024_123461 crossref_primary_10_1002_ece3_11435 crossref_primary_10_1016_j_ese_2024_100388 crossref_primary_10_1016_j_scitotenv_2024_172115 crossref_primary_10_1016_j_watres_2024_122526 crossref_primary_10_1016_j_envint_2024_108431 crossref_primary_10_1002_advs_202303925 crossref_primary_10_1016_j_cej_2024_150276 crossref_primary_10_1016_j_envint_2023_108357 crossref_primary_10_1007_s42247_024_00954_0 crossref_primary_10_1016_j_jhazmat_2024_136466 crossref_primary_10_1111_mec_17350 crossref_primary_10_1016_j_jes_2023_12_023 crossref_primary_10_1016_j_scitotenv_2023_166994 crossref_primary_10_1016_j_jenvman_2024_123981 crossref_primary_10_1080_14787210_2022_2124968 crossref_primary_10_1016_j_scitotenv_2023_162031 crossref_primary_10_1016_j_seppur_2023_125338 crossref_primary_10_1038_s41467_024_49165_5 crossref_primary_10_34133_research_0017 crossref_primary_10_1016_j_jhazmat_2024_134728 crossref_primary_10_1002_smll_202309366 crossref_primary_10_1016_j_coesh_2022_100424 crossref_primary_10_3390_antibiotics13040294 crossref_primary_10_1016_j_watres_2024_122079 crossref_primary_10_1016_j_scitotenv_2024_177017 crossref_primary_10_1016_j_coesh_2022_100421 crossref_primary_10_1016_j_envpol_2023_122401 crossref_primary_10_3389_fmicb_2025_1528696 crossref_primary_10_1016_j_jece_2024_115217 crossref_primary_10_2166_wh_2022_307 crossref_primary_10_1038_s41467_024_51326_5 crossref_primary_10_1016_j_jhazmat_2023_131026 crossref_primary_10_1021_acs_est_3c02593 crossref_primary_10_1021_acs_est_3c05741 crossref_primary_10_1016_j_jhazmat_2025_137723 crossref_primary_10_1007_s12526_024_01453_5 crossref_primary_10_1038_s43016_025_01131_0 crossref_primary_10_1007_s40588_023_00209_2 crossref_primary_10_3389_fcimb_2022_1065561 crossref_primary_10_1016_j_seppur_2024_127303 crossref_primary_10_1016_j_scitotenv_2024_176716 crossref_primary_10_1007_s10311_023_01605_2 crossref_primary_10_3389_fcimb_2024_1477143 crossref_primary_10_1016_j_jhazmat_2024_134581 crossref_primary_10_1016_j_envpol_2024_123800 crossref_primary_10_1016_j_jhazmat_2024_135790 crossref_primary_10_1016_j_jhazmat_2025_137692 crossref_primary_10_1021_acs_est_4c02497 crossref_primary_10_1128_msystems_01037_24 crossref_primary_10_1016_j_jhazmat_2024_136647 crossref_primary_10_3390_microorganisms12050842 crossref_primary_10_4491_eer_2024_609 crossref_primary_10_1016_j_eti_2025_104112 crossref_primary_10_1016_j_jhazmat_2024_135434 crossref_primary_10_1021_acs_analchem_4c01433 crossref_primary_10_1016_j_jhazmat_2022_129543 crossref_primary_10_1007_s11356_023_29923_6 crossref_primary_10_1099_acmi_0_000639_v3 crossref_primary_10_1016_j_jhazmat_2024_133939 crossref_primary_10_1016_j_jhazmat_2024_134907 crossref_primary_10_3389_fmicb_2022_1053153 crossref_primary_10_1016_j_wasman_2025_01_030 crossref_primary_10_1186_s12866_022_02624_9 crossref_primary_10_1016_j_envint_2022_107595 crossref_primary_10_1016_j_ese_2024_100479 crossref_primary_10_1016_j_envres_2025_120807 crossref_primary_10_1016_j_chemosphere_2024_141598 crossref_primary_10_1093_femsre_fuae031 crossref_primary_10_1002_smll_202500203 crossref_primary_10_1039_D4CC05488A crossref_primary_10_1007_s00248_024_02463_3 crossref_primary_10_1186_s42523_023_00279_z crossref_primary_10_1039_D4RA07517J crossref_primary_10_1016_j_seppur_2024_130370 crossref_primary_10_1016_j_watres_2024_122650 crossref_primary_10_1016_j_biotechadv_2023_108152 crossref_primary_10_1016_j_scitotenv_2023_161790 crossref_primary_10_1093_ismejo_wrae144 crossref_primary_10_1021_acsenvironau_4c00071 crossref_primary_10_1039_D4EM00687A crossref_primary_10_1016_j_envint_2023_108394 crossref_primary_10_1016_j_watres_2024_122444 crossref_primary_10_3389_frwa_2024_1359109 crossref_primary_10_1128_spectrum_00019_24 crossref_primary_10_1007_s41742_024_00601_w crossref_primary_10_1093_nar_gkac1220 crossref_primary_10_1146_annurev_genet_022123_113904 crossref_primary_10_1002_imt2_198 crossref_primary_10_1007_s10499_023_01050_6 crossref_primary_10_1016_j_jhazmat_2025_137915 crossref_primary_10_1021_acs_est_3c04681 crossref_primary_10_1038_s41467_023_42998_6 crossref_primary_10_1016_j_foodres_2023_113248 crossref_primary_10_1021_acs_jafc_2c02489 crossref_primary_10_1007_s10653_023_01683_9 crossref_primary_10_1016_j_envint_2024_108905 crossref_primary_10_1360_TB_2023_0970 crossref_primary_10_3390_bios15030189 crossref_primary_10_1016_j_scitotenv_2022_155807 crossref_primary_10_1016_j_jhazmat_2024_134802 crossref_primary_10_1016_j_scitotenv_2023_162070 crossref_primary_10_1016_j_bios_2024_116470 crossref_primary_10_1016_j_ecoenv_2023_115230 crossref_primary_10_1016_j_envint_2023_108168 crossref_primary_10_1016_j_watres_2022_119466 crossref_primary_10_1093_nar_gkae515 crossref_primary_10_1016_j_envres_2023_115799 crossref_primary_10_1016_j_scitotenv_2024_174222 crossref_primary_10_1016_j_watres_2024_122552 crossref_primary_10_1016_j_watres_2023_120635 crossref_primary_10_1021_acs_est_3c06513 crossref_primary_10_1016_j_jhazmat_2024_134353 crossref_primary_10_1016_j_scitotenv_2024_178021 crossref_primary_10_1038_s41597_024_03084_8 crossref_primary_10_1021_acs_jafc_3c08558 crossref_primary_10_1016_j_jhazmat_2024_133941 crossref_primary_10_1016_j_jenvman_2025_124485 crossref_primary_10_1016_j_jhazmat_2023_132314 crossref_primary_10_3389_frabi_2024_1489356 crossref_primary_10_1007_s42832_023_0172_8 crossref_primary_10_1021_acschembio_2c00945 crossref_primary_10_1016_j_watres_2024_121583 crossref_primary_10_1016_j_scitotenv_2023_167199 crossref_primary_10_3389_fmicb_2022_996834 crossref_primary_10_1016_j_scitotenv_2024_172712 crossref_primary_10_1016_j_tibtech_2022_12_013 crossref_primary_10_1128_aem_01719_23 |
| Cites_doi | 10.1038/nature10388 10.1093/nar/gkw1004 10.1038/s41592-021-01101-x 10.1016/j.molp.2020.06.009 10.1016/j.tplants.2019.02.010 10.1038/s41587-020-0603-3 10.1093/bioinformatics/btp324 10.1038/s41467-019-08853-3 10.1126/sciadv.aax3173 10.1126/sciadv.abe3868 10.1109/ACCESS.2020.2988796 10.1038/nmicrobiol.2016.270 10.1021/acs.est.7b01852 10.1038/s41587-020-0718-6 10.1126/sciadv.aau9124 10.1038/s41586-018-0386-6 10.1093/bioinformatics/bty741 10.1016/j.cell.2021.05.002 10.1093/nar/gkaa983 10.1016/j.coesh.2020.10.012 10.1093/nar/gkj014 10.1038/s41579-021-00534-7 10.1038/ncomms3151 10.1038/s41467-021-25096-3 10.1038/ncomms15784 10.1073/pnas.1919755117 10.1038/s41591-020-0894-4 10.1126/science.abd1515 10.1038/s41586-021-03532-0 10.1038/nrmicro2312 10.1038/s41586-019-1791-1 10.1093/bioinformatics/btp352 10.1016/j.celrep.2018.06.109 10.1038/s42003-020-01468-1 10.1038/nrmicro3399 10.1007/s11427-018-9364-7 10.1038/ncomms8615 10.1093/bioinformatics/bts565 10.1038/nature18927 10.1038/s41467-021-22757-1 10.1038/ismej.2016.103 10.1016/j.tim.2020.05.011 10.1016/j.cell.2021.02.052 10.1038/s41467-020-16322-5 10.1038/s42003-020-01475-2 10.1021/acs.estlett.0c00202 10.1093/bioinformatics/btu170 10.1016/j.tim.2016.11.014 10.1038/s41564-019-0503-9 10.1038/s41586-020-2238-4 10.32614/RJ-2013-014 10.1111/1755-0998.13306 10.1023/A:1013964023376 10.1073/pnas.1717295115 10.1038/s41591-021-01264-2 10.1093/nar/gkaa939 10.5281/zenodo.6125695 10.1007/978-1-4842-7032-5_3 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2022 2022. The Author(s). The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2022 – notice: 2022. The Author(s). – notice: The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QL 7QP 7QR 7SN 7SS 7ST 7T5 7T7 7TM 7TO 7X7 7XB 88E 8AO 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA ARAPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU COVID DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. LK8 M0S M1P M7P P5Z P62 P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS RC3 SOI 7X8 5PM DOA |
| DOI | 10.1038/s41467-022-29283-8 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Ecology Abstracts Entomology Abstracts (Full archive) Environment Abstracts Immunology Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Coronavirus Research Database ProQuest Central Korea Engineering Research Database Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Biological Science Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Genetics Abstracts Environment Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student Oncogenes and Growth Factors Abstracts ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) ProQuest Central (New) ProQuest Medical Library (Alumni) Advanced Technologies & Aerospace Collection ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Entomology Abstracts ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) AIDS and Cancer Research Abstracts ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Immunology Abstracts Environment Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic Publicly Available Content Database MEDLINE |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 5 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology Public Health |
| EISSN | 2041-1723 |
| EndPage | 11 |
| ExternalDocumentID | oai_doaj_org_article_e0fbc794e4d94ed08c6031ceaf89b427 PMC8943045 35322038 10_1038_s41467_022_29283_8 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China (National Science Foundation of China) grantid: 41907210; 21976161; 21777144 funderid: https://doi.org/10.13039/501100001809 – fundername: Fundación Ramon Areces grant ELEMENTAL-CLIMATE, the Spanish Government grant PID2019-110521GB-I00, and the Catalan Government grants AGAUR-2020PANDE00117 and SGR 2017-1005 – fundername: ; grantid: 41907210; 21976161; 21777144 – fundername: ; |
| GroupedDBID | --- 0R~ 39C 3V. 53G 5VS 70F 7X7 88E 8AO 8FE 8FG 8FH 8FI 8FJ AAHBH AAJSJ ABUWG ACGFO ACGFS ACIWK ACMJI ACPRK ACSMW ADBBV ADFRT ADMLS ADRAZ AENEX AEUYN AFKRA AFRAH AHMBA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AMTXH AOIJS ARAPS ASPBG AVWKF AZFZN BBNVY BCNDV BENPR BGLVJ BHPHI BPHCQ BVXVI C6C CCPQU DIK EBLON EBS EE. EMOBN F5P FEDTE FYUFA GROUPED_DOAJ HCIFZ HMCUK HVGLF HYE HZ~ KQ8 LK8 M1P M48 M7P M~E NAO O9- OK1 P2P P62 PIMPY PQQKQ PROAC PSQYO RNS RNT RNTTT RPM SNYQT SV3 TSG UKHRP AASML AAYXX CITATION PHGZM PHGZT CGR CUY CVF ECM EIF NPM 7QL 7QP 7QR 7SN 7SS 7ST 7T5 7T7 7TM 7TO 7XB 8FD 8FK AARCD AZQEC C1K COVID DWQXO FR3 GNUQQ H94 K9. P64 PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS RC3 SOI 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c606t-f1d0dba2a2cae0e3a8e5ca60dff2d605dc84e7509096236289953723a20d3dea3 |
| IEDL.DBID | M48 |
| ISSN | 2041-1723 |
| IngestDate | Wed Aug 27 01:19:34 EDT 2025 Thu Aug 21 18:17:53 EDT 2025 Fri Jul 11 03:50:27 EDT 2025 Wed Aug 13 04:34:30 EDT 2025 Thu Apr 03 07:00:09 EDT 2025 Tue Jul 01 04:17:46 EDT 2025 Thu Apr 24 23:08:10 EDT 2025 Fri Feb 21 02:38:14 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2022. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c606t-f1d0dba2a2cae0e3a8e5ca60dff2d605dc84e7509096236289953723a20d3dea3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-4043-4351 0000-0002-2030-3813 0000-0002-7215-0150 0000-0003-0807-9991 |
| OpenAccessLink | https://doaj.org/article/e0fbc794e4d94ed08c6031ceaf89b427 |
| PMID | 35322038 |
| PQID | 2642230905 |
| PQPubID | 546298 |
| PageCount | 11 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_e0fbc794e4d94ed08c6031ceaf89b427 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8943045 proquest_miscellaneous_2642885757 proquest_journals_2642230905 pubmed_primary_35322038 crossref_primary_10_1038_s41467_022_29283_8 crossref_citationtrail_10_1038_s41467_022_29283_8 springer_journals_10_1038_s41467_022_29283_8 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2022-03-23 |
| PublicationDateYYYYMMDD | 2022-03-23 |
| PublicationDate_xml | – month: 03 year: 2022 text: 2022-03-23 day: 23 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Nature communications |
| PublicationTitleAbbrev | Nat Commun |
| PublicationTitleAlternate | Nat Commun |
| PublicationYear | 2022 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | Yu (CR59) 2021; 21 Rice, Wang, Smith, Stadler (CR29) 2020; 7 Jiang (CR22) 2017; 8 Maguire (CR34) 2020; 6 CR37 CR36 Bungau, Tit, Behl, Aleya, Zaha (CR38) 2021; 19 Bylander (CR64) 2002; 48 Argimón (CR46) 2020; 11 May (CR48) 2021; 27 Groussin (CR12) 2021; 184 Sinaga, Yang (CR40) 2020; 8 Tu, Lin, Cheng, Deng, He (CR60) 2019; 35 Kahle, Wickham (CR65) 2013; 5 Zhu (CR3) 2017; 2 D’Costa (CR13) 2011; 477 Hu (CR9) 2013; 4 Zhang (CR18) 2021; 12 Manaia (CR16) 2017; 25 CR49 Siguier, Perochon, Lestrade, Mahillon, Chandler (CR57) 2006; 34 Danko (CR7) 2021; 184 Batchelder (CR24) 2020; 3 CR47 Fu, Niu, Zhu, Wu, Li (CR58) 2012; 28 CR41 Kang (CR6) 2018; 24 Zhang (CR2) 2020; 3 Chen (CR50) 2021; 49 Bethke (CR32) 2020; 6 Bahram (CR4) 2018; 560 Hernando-Amado, Coque, Baquero, Martínez (CR20) 2019; 4 Ellabaan, Munck, Porse, Imamovic, Sommer (CR21) 2021; 12 Imai (CR25) 2019; 576 Chng (CR10) 2020; 26 Li (CR56) 2009; 25 Allen (CR1) 2010; 8 Botelho, Schulenburg (CR30) 2021; 29 Nayfach (CR28) 2021; 39 Villanueva, Chen (CR66) 2019; 17 Li, Durbin (CR55) 2009; 25 Buchfink, Reuter, Drost (CR62) 2021; 18 Chen, Cui, Su, Penuelas, Zhu (CR19) 2019; 24 Brito (CR35) 2021; 19 Bolger, Lohse, Usadel (CR53) 2014; 30 CR52 Jia (CR54) 2017; 45 Wibowo (CR14) 2021; 594 Almeida (CR39) 2021; 39 Brito (CR33) 2016; 535 Shaw (CR31) 2021; 7 Klein (CR23) 2018; 115 Lewnard, Lo, Arinaminpathy, Frost, Laxminarayan (CR45) 2020; 581 Bougnom, Piddock (CR11) 2017; 51 Halpern (CR42) 2015; 6 Pärnänen (CR8) 2019; 5 Hendriksen (CR5) 2019; 10 Wang (CR44) 2017; 11 Zheng, Zhu, Sardans, Peñuelas, Su (CR61) 2018; 61 Chen (CR67) 2020; 13 McRose, Newman (CR15) 2021; 371 CR27 Mukherjee (CR51) 2021; 49 CR26 CR68 Ban (CR43) 2020; 117 CR63 Martínez, Coque, Baquero (CR17) 2015; 13 29283_CR49 B Jia (29283_CR54) 2017; 45 29283_CR47 JH Bethke (29283_CR32) 2020; 6 29283_CR41 Y-G Zhu (29283_CR3) 2017; 2 T Bylander (29283_CR64) 2002; 48 J Botelho (29283_CR30) 2021; 29 X Jiang (29283_CR22) 2017; 8 Q-L Chen (29283_CR19) 2019; 24 KP Sinaga (29283_CR40) 2020; 8 DL McRose (29283_CR15) 2021; 371 29283_CR52 Q Zhang (29283_CR2) 2020; 3 A Almeida (29283_CR39) 2021; 39 RS Hendriksen (29283_CR5) 2019; 10 MMH Ellabaan (29283_CR21) 2021; 12 VM D’Costa (29283_CR13) 2011; 477 HR Batchelder (29283_CR24) 2020; 3 KR Chng (29283_CR10) 2020; 26 M May (29283_CR48) 2021; 27 D Kahle (29283_CR65) 2013; 5 CM Manaia (29283_CR16) 2017; 25 KMM Pärnänen (29283_CR8) 2019; 5 D Danko (29283_CR7) 2021; 184 S Nayfach (29283_CR28) 2021; 39 C Chen (29283_CR67) 2020; 13 29283_CR26 P Siguier (29283_CR57) 2006; 34 29283_CR27 L Fu (29283_CR58) 2012; 28 AM Bolger (29283_CR53) 2014; 30 29283_CR68 RAM Villanueva (29283_CR66) 2019; 17 IL Brito (29283_CR35) 2021; 19 S Argimón (29283_CR46) 2020; 11 EW Rice (29283_CR29) 2020; 7 S Hernando-Amado (29283_CR20) 2019; 4 Q Tu (29283_CR60) 2019; 35 29283_CR63 A-N Zhang (29283_CR18) 2021; 12 JL Martínez (29283_CR17) 2015; 13 S Bungau (29283_CR38) 2021; 19 H Li (29283_CR55) 2009; 25 Z Ban (29283_CR43) 2020; 117 M Groussin (29283_CR12) 2021; 184 Y Hu (29283_CR9) 2013; 4 MC Wibowo (29283_CR14) 2021; 594 LP Shaw (29283_CR31) 2021; 7 X Yu (29283_CR59) 2021; 21 F Maguire (29283_CR34) 2020; 6 29283_CR37 29283_CR36 H Li (29283_CR56) 2009; 25 JA Lewnard (29283_CR45) 2020; 581 S Mukherjee (29283_CR51) 2021; 49 IL Brito (29283_CR33) 2016; 535 Y Imai (29283_CR25) 2019; 576 IMA Chen (29283_CR50) 2021; 49 H Wang (29283_CR44) 2017; 11 B Buchfink (29283_CR62) 2021; 18 M Bahram (29283_CR4) 2018; 560 BP Bougnom (29283_CR11) 2017; 51 BS Halpern (29283_CR42) 2015; 6 HK Allen (29283_CR1) 2010; 8 EY Klein (29283_CR23) 2018; 115 K Kang (29283_CR6) 2018; 24 B Zheng (29283_CR61) 2018; 61 |
| References_xml | – volume: 17 start-page: 160 year: 2019 end-page: 167 ident: CR66 article-title: ggplot2: elegant graphics for data analysis (2nd ed.) publication-title: Meas.: Interdiscip. Res. Perspect. – volume: 477 start-page: 457 year: 2011 end-page: 461 ident: CR13 article-title: Antibiotic resistance is ancient publication-title: Nature doi: 10.1038/nature10388 – ident: CR49 – ident: CR68 – volume: 45 start-page: D566 year: 2017 end-page: D573 ident: CR54 article-title: CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkw1004 – volume: 18 start-page: 366 year: 2021 end-page: 368 ident: CR62 article-title: Sensitive protein alignments at tree-of-life scale using DIAMOND publication-title: Nat. Methods doi: 10.1038/s41592-021-01101-x – volume: 13 start-page: 1194 year: 2020 end-page: 1202 ident: CR67 article-title: TBtools: an integrative toolkit developed for interactive analyses of big biological data publication-title: Mol. Plant doi: 10.1016/j.molp.2020.06.009 – volume: 24 start-page: 530 year: 2019 end-page: 541 ident: CR19 article-title: Antibiotic resistomes in plant microbiomes publication-title: Trends Plant Sci. doi: 10.1016/j.tplants.2019.02.010 – volume: 39 start-page: 105 year: 2021 end-page: 114 ident: CR39 article-title: A unified catalog of 204,938 reference genomes from the human gut microbiome publication-title: Nat. Biotechnol. doi: 10.1038/s41587-020-0603-3 – volume: 25 start-page: 1754 year: 2009 end-page: 1760 ident: CR55 article-title: Fast and accurate short read alignment with Burrows–Wheeler transform publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp324 – volume: 10 year: 2019 ident: CR5 article-title: Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage publication-title: Nat. Commun. doi: 10.1038/s41467-019-08853-3 – volume: 6 start-page: eaax3173 year: 2020 ident: CR32 article-title: Environmental and genetic determinants of plasmid mobility in pathogenic publication-title: Sci. Adv. doi: 10.1126/sciadv.aax3173 – volume: 7 start-page: eabe3868 year: 2021 ident: CR31 article-title: Niche and local geography shape the pangenome of wastewater- and livestock-associated Enterobacteriaceae publication-title: Sci. Adv. doi: 10.1126/sciadv.abe3868 – volume: 8 start-page: 80716 year: 2020 end-page: 80727 ident: CR40 article-title: Unsupervised K-Means clustering algorithm publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2988796 – volume: 2 start-page: 16270 year: 2017 ident: CR3 article-title: Continental-scale pollution of estuaries with antibiotic resistance genes publication-title: Nat. Microbiol. doi: 10.1038/nmicrobiol.2016.270 – volume: 51 start-page: 5863 year: 2017 end-page: 5864 ident: CR11 article-title: Wastewater for urban agriculture: A significant factor in dissemination of antibiotic resistance publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.7b01852 – volume: 39 start-page: 499 year: 2021 end-page: 509 ident: CR28 article-title: A genomic catalog of Earth’s microbiomes publication-title: Nat. Biotechnol. doi: 10.1038/s41587-020-0718-6 – volume: 6 start-page: mgen000436 year: 2020 ident: CR34 article-title: Metagenome-assembled genome binning methods with short reads disproportionately fail for plasmids and genomic Islands publication-title: Microb. Genom. – volume: 5 start-page: eaau9124 year: 2019 ident: CR8 article-title: Antibiotic resistance in European wastewater treatment plants mirrors the pattern of clinical antibiotic resistance prevalence publication-title: Sci. Adv. doi: 10.1126/sciadv.aau9124 – volume: 560 start-page: 233 year: 2018 end-page: 237 ident: CR4 article-title: Structure and function of the global topsoil microbiome publication-title: Nature doi: 10.1038/s41586-018-0386-6 – volume: 35 start-page: 1040 year: 2019 end-page: 1048 ident: CR60 article-title: NCycDB: a curated integrative database for fast and accurate metagenomic profiling of nitrogen cycling genes publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty741 – volume: 184 start-page: 3376 year: 2021 end-page: 3393.e3317 ident: CR7 article-title: A global metagenomic map of urban microbiomes and antimicrobial resistance publication-title: Cell doi: 10.1016/j.cell.2021.05.002 – ident: CR36 – volume: 49 start-page: D723 year: 2021 end-page: D733 ident: CR51 article-title: Genomes OnLine Database (GOLD) v.8: overview and updates publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa983 – volume: 19 start-page: 100224 year: 2021 ident: CR38 article-title: Aspects of excessive antibiotic consumption and environmental influences correlated with the occurrence of resistance to antimicrobial agents publication-title: Curr. Opin. Environ. Sci. Health doi: 10.1016/j.coesh.2020.10.012 – volume: 34 start-page: D32 year: 2006 end-page: D36 ident: CR57 article-title: ISfinder: the reference centre for bacterial insertion sequences publication-title: Nucleic acids Res. doi: 10.1093/nar/gkj014 – ident: CR26 – volume: 19 start-page: 442 year: 2021 end-page: 453 ident: CR35 article-title: Examining horizontal gene transfer in microbial communities publication-title: Nat. Rev. Microbiol. doi: 10.1038/s41579-021-00534-7 – volume: 4 year: 2013 ident: CR9 article-title: Metagenome-wide analysis of antibiotic resistance genes in a large cohort of human gut microbiota publication-title: Nat. Commun. doi: 10.1038/ncomms3151 – volume: 12 year: 2021 ident: CR18 article-title: An omics-based framework for assessing the health risk of antimicrobial resistance genes publication-title: Nat. Commun. doi: 10.1038/s41467-021-25096-3 – volume: 8 year: 2017 ident: CR22 article-title: Dissemination of antibiotic resistance genes from antibiotic producers to pathogens publication-title: Nat. Commun. doi: 10.1038/ncomms15784 – ident: CR47 – ident: CR37 – volume: 117 start-page: 10492 year: 2020 ident: CR43 article-title: Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticles publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1919755117 – volume: 26 start-page: 941 year: 2020 end-page: 951 ident: CR10 article-title: Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment publication-title: Nat. Med. doi: 10.1038/s41591-020-0894-4 – volume: 371 start-page: 1033 year: 2021 ident: CR15 article-title: Redox-active antibiotics enhance phosphorus bioavailability publication-title: Science doi: 10.1126/science.abd1515 – volume: 594 start-page: 234 year: 2021 end-page: 239 ident: CR14 article-title: Reconstruction of ancient microbial genomes from the human gut publication-title: Nature doi: 10.1038/s41586-021-03532-0 – volume: 8 start-page: 251 year: 2010 end-page: 259 ident: CR1 article-title: Call of the wild: antibiotic resistance genes in natural environments publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro2312 – volume: 576 start-page: 459 year: 2019 end-page: 464 ident: CR25 article-title: A new antibiotic selectively kills Gram-negative pathogens publication-title: Nature doi: 10.1038/s41586-019-1791-1 – ident: CR63 – volume: 25 start-page: 2078 year: 2009 end-page: 2079 ident: CR56 article-title: The sequence Alignment/Map format and SAMtools publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – ident: CR27 – volume: 24 start-page: 1190 year: 2018 end-page: 1202.e1195 ident: CR6 article-title: The environmental exposures and inner- and intercity traffic flows of the metro system may contribute to the skin microbiome and resistome publication-title: Cell Rep. doi: 10.1016/j.celrep.2018.06.109 – volume: 3 start-page: 737 year: 2020 ident: CR2 article-title: Cyanobacterial blooms contribute to the diversity of antibiotic-resistance genes in aquatic ecosystems publication-title: Commun. Biol. doi: 10.1038/s42003-020-01468-1 – volume: 13 start-page: 116 year: 2015 end-page: 123 ident: CR17 article-title: What is a resistance gene? Ranking risk in resistomes publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro3399 – volume: 61 start-page: 1451 year: 2018 end-page: 1462 ident: CR61 article-title: QMEC: a tool for high-throughput quantitative assessment of microbial functional potential in C, N, P, and S biogeochemical cycling publication-title: Sci. China Life Sci. doi: 10.1007/s11427-018-9364-7 – volume: 6 year: 2015 ident: CR42 article-title: Spatial and temporal changes in cumulative human impacts on the world’s ocean publication-title: Nat. Commun. doi: 10.1038/ncomms8615 – volume: 28 start-page: 3150 year: 2012 end-page: 3152 ident: CR58 article-title: CD-HIT: accelerated for clustering the next-generation sequencing data publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts565 – volume: 535 start-page: 435 year: 2016 end-page: 439 ident: CR33 article-title: Mobile genes in the human microbiome are structured from global to individual scales publication-title: Nature doi: 10.1038/nature18927 – volume: 12 year: 2021 ident: CR21 article-title: Forecasting the dissemination of antibiotic resistance genes across bacterial genomes publication-title: Nat. Commun. doi: 10.1038/s41467-021-22757-1 – volume: 11 start-page: 100 year: 2017 end-page: 111 ident: CR44 article-title: The antibiotic resistome of swine manure is significantly altered by association with the larvae gut microbiome publication-title: ISME J. doi: 10.1038/ismej.2016.103 – volume: 29 start-page: 8 year: 2021 end-page: 18 ident: CR30 article-title: The role of integrative and conjugative elements in antibiotic resistance evolution publication-title: Trends Microbiol. doi: 10.1016/j.tim.2020.05.011 – ident: CR52 – volume: 184 start-page: 2053 year: 2021 end-page: 2067.e2018 ident: CR12 article-title: Elevated rates of horizontal gene transfer in the industrialized human microbiome publication-title: Cell doi: 10.1016/j.cell.2021.02.052 – volume: 11 year: 2020 ident: CR46 article-title: Integrating whole-genome sequencing within the National Antimicrobial Resistance Surveillance Program in the Philippines publication-title: Nat. Commun. doi: 10.1038/s41467-020-16322-5 – volume: 3 start-page: 741 year: 2020 ident: CR24 article-title: Development of a penem antibiotic against publication-title: Commun. Biol. doi: 10.1038/s42003-020-01475-2 – volume: 7 start-page: 282 year: 2020 end-page: 291 ident: CR29 article-title: Determining hosts of antibiotic resistance genes: a review of methodological advances publication-title: Environ. Sci. Technol. Lett. doi: 10.1021/acs.estlett.0c00202 – volume: 30 start-page: 2114 year: 2014 end-page: 2120 ident: CR53 article-title: Trimmomatic: a flexible trimmer for Illumina sequence data publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu170 – volume: 25 start-page: 173 year: 2017 end-page: 181 ident: CR16 article-title: Assessing the risk of antibiotic resistance transmission from the environment to humans: non-direct proportionality between abundance and risk publication-title: Trends Microbiol. doi: 10.1016/j.tim.2016.11.014 – volume: 4 start-page: 1432 year: 2019 end-page: 1442 ident: CR20 article-title: Defining and combating antibiotic resistance from One Health and Global Health perspectives publication-title: Nat. Microbiol. doi: 10.1038/s41564-019-0503-9 – volume: 581 start-page: 94 year: 2020 end-page: 99 ident: CR45 article-title: Childhood vaccines and antibiotic use in low- and middle-income countries publication-title: Nature doi: 10.1038/s41586-020-2238-4 – volume: 5 start-page: 144 year: 2013 end-page: 161 ident: CR65 article-title: ggmap: spatial visualization with ggplot2 publication-title: R. J. doi: 10.32614/RJ-2013-014 – volume: 21 start-page: 924 year: 2021 end-page: 940 ident: CR59 article-title: SCycDB: a curated functional gene database for metagenomic profiling of sulphur cycling pathways publication-title: Mol. Ecol. Resour. doi: 10.1111/1755-0998.13306 – volume: 48 start-page: 287 year: 2002 end-page: 297 ident: CR64 article-title: Estimating generalization error on two-class datasets using out-of-bag estimates publication-title: Mach. Learn. doi: 10.1023/A:1013964023376 – ident: CR41 – volume: 115 start-page: E3463 year: 2018 ident: CR23 article-title: Global increase and geographic convergence in antibiotic consumption between 2000 and 2015 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1717295115 – volume: 27 start-page: 358 year: 2021 end-page: 359 ident: CR48 article-title: Tomorrow’s biggest microbial threats publication-title: Nat. Med. doi: 10.1038/s41591-021-01264-2 – volume: 49 start-page: D751 year: 2021 end-page: D763 ident: CR50 article-title: The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa939 – volume: 115 start-page: E3463 year: 2018 ident: 29283_CR23 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1717295115 – volume: 39 start-page: 105 year: 2021 ident: 29283_CR39 publication-title: Nat. Biotechnol. doi: 10.1038/s41587-020-0603-3 – volume: 21 start-page: 924 year: 2021 ident: 29283_CR59 publication-title: Mol. Ecol. Resour. doi: 10.1111/1755-0998.13306 – volume: 61 start-page: 1451 year: 2018 ident: 29283_CR61 publication-title: Sci. China Life Sci. doi: 10.1007/s11427-018-9364-7 – volume: 371 start-page: 1033 year: 2021 ident: 29283_CR15 publication-title: Science doi: 10.1126/science.abd1515 – volume: 12 year: 2021 ident: 29283_CR21 publication-title: Nat. Commun. doi: 10.1038/s41467-021-22757-1 – volume: 19 start-page: 442 year: 2021 ident: 29283_CR35 publication-title: Nat. Rev. Microbiol. doi: 10.1038/s41579-021-00534-7 – volume: 117 start-page: 10492 year: 2020 ident: 29283_CR43 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1919755117 – volume: 30 start-page: 2114 year: 2014 ident: 29283_CR53 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu170 – volume: 48 start-page: 287 year: 2002 ident: 29283_CR64 publication-title: Mach. Learn. doi: 10.1023/A:1013964023376 – volume: 19 start-page: 100224 year: 2021 ident: 29283_CR38 publication-title: Curr. Opin. Environ. Sci. Health doi: 10.1016/j.coesh.2020.10.012 – volume: 8 start-page: 80716 year: 2020 ident: 29283_CR40 publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2988796 – volume: 45 start-page: D566 year: 2017 ident: 29283_CR54 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkw1004 – volume: 560 start-page: 233 year: 2018 ident: 29283_CR4 publication-title: Nature doi: 10.1038/s41586-018-0386-6 – volume: 6 start-page: mgen000436 year: 2020 ident: 29283_CR34 publication-title: Microb. Genom. – volume: 51 start-page: 5863 year: 2017 ident: 29283_CR11 publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.7b01852 – volume: 184 start-page: 3376 year: 2021 ident: 29283_CR7 publication-title: Cell doi: 10.1016/j.cell.2021.05.002 – volume: 3 start-page: 737 year: 2020 ident: 29283_CR2 publication-title: Commun. Biol. doi: 10.1038/s42003-020-01468-1 – ident: 29283_CR49 – ident: 29283_CR26 – volume: 8 year: 2017 ident: 29283_CR22 publication-title: Nat. Commun. doi: 10.1038/ncomms15784 – volume: 11 start-page: 100 year: 2017 ident: 29283_CR44 publication-title: ISME J. doi: 10.1038/ismej.2016.103 – volume: 28 start-page: 3150 year: 2012 ident: 29283_CR58 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bts565 – volume: 18 start-page: 366 year: 2021 ident: 29283_CR62 publication-title: Nat. Methods doi: 10.1038/s41592-021-01101-x – volume: 26 start-page: 941 year: 2020 ident: 29283_CR10 publication-title: Nat. Med. doi: 10.1038/s41591-020-0894-4 – volume: 25 start-page: 1754 year: 2009 ident: 29283_CR55 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp324 – volume: 5 start-page: eaau9124 year: 2019 ident: 29283_CR8 publication-title: Sci. Adv. doi: 10.1126/sciadv.aau9124 – volume: 3 start-page: 741 year: 2020 ident: 29283_CR24 publication-title: Commun. Biol. doi: 10.1038/s42003-020-01475-2 – volume: 29 start-page: 8 year: 2021 ident: 29283_CR30 publication-title: Trends Microbiol. doi: 10.1016/j.tim.2020.05.011 – volume: 25 start-page: 173 year: 2017 ident: 29283_CR16 publication-title: Trends Microbiol. doi: 10.1016/j.tim.2016.11.014 – volume: 27 start-page: 358 year: 2021 ident: 29283_CR48 publication-title: Nat. Med. doi: 10.1038/s41591-021-01264-2 – volume: 8 start-page: 251 year: 2010 ident: 29283_CR1 publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro2312 – ident: 29283_CR27 – volume: 25 start-page: 2078 year: 2009 ident: 29283_CR56 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – volume: 5 start-page: 144 year: 2013 ident: 29283_CR65 publication-title: R. J. doi: 10.32614/RJ-2013-014 – ident: 29283_CR68 doi: 10.5281/zenodo.6125695 – volume: 4 start-page: 1432 year: 2019 ident: 29283_CR20 publication-title: Nat. Microbiol. doi: 10.1038/s41564-019-0503-9 – volume: 576 start-page: 459 year: 2019 ident: 29283_CR25 publication-title: Nature doi: 10.1038/s41586-019-1791-1 – ident: 29283_CR37 – ident: 29283_CR52 – volume: 7 start-page: 282 year: 2020 ident: 29283_CR29 publication-title: Environ. Sci. Technol. Lett. doi: 10.1021/acs.estlett.0c00202 – ident: 29283_CR41 doi: 10.1007/978-1-4842-7032-5_3 – volume: 49 start-page: D723 year: 2021 ident: 29283_CR51 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa983 – volume: 12 year: 2021 ident: 29283_CR18 publication-title: Nat. Commun. doi: 10.1038/s41467-021-25096-3 – volume: 4 year: 2013 ident: 29283_CR9 publication-title: Nat. Commun. doi: 10.1038/ncomms3151 – volume: 477 start-page: 457 year: 2011 ident: 29283_CR13 publication-title: Nature doi: 10.1038/nature10388 – ident: 29283_CR47 – volume: 11 year: 2020 ident: 29283_CR46 publication-title: Nat. Commun. doi: 10.1038/s41467-020-16322-5 – volume: 39 start-page: 499 year: 2021 ident: 29283_CR28 publication-title: Nat. Biotechnol. doi: 10.1038/s41587-020-0718-6 – volume: 6 year: 2015 ident: 29283_CR42 publication-title: Nat. Commun. doi: 10.1038/ncomms8615 – volume: 35 start-page: 1040 year: 2019 ident: 29283_CR60 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty741 – volume: 535 start-page: 435 year: 2016 ident: 29283_CR33 publication-title: Nature doi: 10.1038/nature18927 – volume: 184 start-page: 2053 year: 2021 ident: 29283_CR12 publication-title: Cell doi: 10.1016/j.cell.2021.02.052 – ident: 29283_CR36 – volume: 17 start-page: 160 year: 2019 ident: 29283_CR66 publication-title: Meas.: Interdiscip. Res. Perspect. – volume: 2 start-page: 16270 year: 2017 ident: 29283_CR3 publication-title: Nat. Microbiol. doi: 10.1038/nmicrobiol.2016.270 – ident: 29283_CR63 – volume: 13 start-page: 116 year: 2015 ident: 29283_CR17 publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro3399 – volume: 24 start-page: 530 year: 2019 ident: 29283_CR19 publication-title: Trends Plant Sci. doi: 10.1016/j.tplants.2019.02.010 – volume: 594 start-page: 234 year: 2021 ident: 29283_CR14 publication-title: Nature doi: 10.1038/s41586-021-03532-0 – volume: 13 start-page: 1194 year: 2020 ident: 29283_CR67 publication-title: Mol. Plant doi: 10.1016/j.molp.2020.06.009 – volume: 581 start-page: 94 year: 2020 ident: 29283_CR45 publication-title: Nature doi: 10.1038/s41586-020-2238-4 – volume: 24 start-page: 1190 year: 2018 ident: 29283_CR6 publication-title: Cell Rep. doi: 10.1016/j.celrep.2018.06.109 – volume: 49 start-page: D751 year: 2021 ident: 29283_CR50 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa939 – volume: 10 year: 2019 ident: 29283_CR5 publication-title: Nat. Commun. doi: 10.1038/s41467-019-08853-3 – volume: 6 start-page: eaax3173 year: 2020 ident: 29283_CR32 publication-title: Sci. Adv. doi: 10.1126/sciadv.aax3173 – volume: 34 start-page: D32 year: 2006 ident: 29283_CR57 publication-title: Nucleic acids Res. doi: 10.1093/nar/gkj014 – volume: 7 start-page: eabe3868 year: 2021 ident: 29283_CR31 publication-title: Sci. Adv. doi: 10.1126/sciadv.abe3868 |
| SSID | ssj0000391844 |
| Score | 2.7266707 |
| Snippet | Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the... Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health. Here, Zhang et al. analyze 4572 metagenomic samples to illustrate the... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1553 |
| SubjectTerms | 631/158 631/326/107 631/326/171 631/326/2565/2142 692/499 Accessibility Animal health Animals Anti-Bacterial Agents - pharmacology Antibiotic resistance Antibiotics Aquatic habitats Availability Drug resistance Drug Resistance, Microbial - genetics Evaluation Genes Genes, Bacterial Global Health Habitats Health risk assessment Health risks Humanities and Social Sciences Learning algorithms Machine learning Metagenome Metagenomics Microorganisms Mobility multidisciplinary Multidrug resistance Pathogenicity Pathogens Public health Risk assessment Science Science (multidisciplinary) |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LSwMxEA4iCF7Et6tVVvCmoWmyj-xJqliKoCcLvYVsHlqQrdj24L93kmzX1ufFyx6y2ezwzSQzQ5JvEDqjVOVZbiUmhTI4MbnFRcoLbCz4BqJZxn2ieHef9QfJ7TAdLpT6cmfCAj1wAK5tiC0VGI1JNDw04crVRVZGWl6UCfX3yMHnLSRTfg1mBaQuSX1LhjDeniR-TXCH12kBPhXzJU_kCfu_izK_Hpb8tGPqHVFvE23UEWTcDZJvoRVTbaO1UFPybQdddhuuzXhs40D4EYfrjrE7SO5aAc5RORrDCDGk2y6EBN3Hj27d20WD3s3DdR_XVRIwIJFNse1ooktJJVXSEMMkN6mSGdHWUg3JilYcVABxASQrFNwVJFgpyymTFFShjWR7aLUaV-YAxVRyrXShcy1tQjuaK5tmSvNCyo5RTEeoM0dMqJpC3FWyeBZ-K5txEVAWgLLwKAseofPmm5dAoPFr7yuniKanI7_2DWASojYJ8ZdJRKg1V6OoZ-REQOAHkRCgkEbotHkNc8ltkMjKjGehD3clS2GI_aD1RhKWwtIHQkcoX7KHJVGX31SjJ8_X7SnuE_jvxdxyPsT6GYrD_4DiCK1TZ_KEYcpaaHX6OjPHEEVNyxM_Yd4BGY4Yyg priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5BERISQlBegYKMxA2sem0ndk5VQVQVEpyotDfL8aOshJLS3R7494wfm2p59JKD4yTOzHge9vgbgLecO9WpaCnrXaAyqEj7Vvc0RLQNzItO50Dxy9fu9Ex-XrbLuuC2rmmVW52YFbWfXFojP0TDjZaM9aw9uvhJU9WotLtaS2jchjsJuiyldKmlmtdYEvq5lrKelWFCH65l1gwphZ33aFmp3rFHGbb_X77m3ymTf-ybZnN08hAeVD-SHBfGP4JbYdyHu6Wy5K99uF-W40g5ZfQYjo5nBE4yRVJgQEg5BElSenlqRSKvhtWEbyQYhCfHEiWCnCdt-ATOTj59-3hKa-0E6jAk2dC48MwPllvubGBBWB1aZzvmY-QeQxjvNDIGvQUMYTgaMQy7WqG4sBwZ5IMVT2FvnMbwHAi32jvfe-VtlHzhtYtt57zurV0EJ3wDiy0FjavA4qm-xQ-TN7iFNoXqBqluMtWNbuDd_MxFgdW4sfeHxJi5Z4LEzg3T5bmpM8wEFgeH2iVIjxfPtEsFtF2wUfeD5KqBgy1bTZ2na3MtVQ28mW_jDEvbJnYM01Xpo1MhU3zFsyIF80hEiwoRB92A2pGPnaHu3hlX3zOKdwa-l_jd91tJuh7W_0nx4ua_eAn3eBJuJigXB7C3ubwKr9Br2gyv89T4De-pFEY priority: 102 providerName: ProQuest – databaseName: Springer Nature OA Free Journals dbid: C6C link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3da9swED-ylMFextaunbu2eLC3TkyRZFt-GmlYCIX2aYW8CVkfaWDYo00f9t_3JH-MrFmhL36QJfm4O-nurNPvAL4wZoq88JrQ0jgiXOFJmcmSOI-2gVqeyxgoXl3nixtxucyWI2D9XZiYtB8hLeM23WeHfbsXcUmH3HNWokkk8hXsBej2oNWzfDb8VwmI51KI7n4M5XLH0C0bFKH6d_mXT9Mk_zkrjSZo_g7edr5jOm2pfQ8jV-_D67aa5J8D-D4dUDbTxqct1EfaXnRMQwp5aEVGrqt1gzOkGGgH5xGlnq7CjvcBbuY_fs4WpKuPQAyGHRviJ5baSjPNjHbUcS1dZnROrffMYphijUTmo0eAYQpDQ4WhVcYLxjVDIVin-SGM66Z2HyFlWlpjS1tY7QWbWGl8lhsrS60nznCbwKTnmDIdeHioYfFLxUNsLlXLZYVcVpHLSiZwPoz53UJnPNv7Ighi6Blgr2NDc7dSnRooR31lcAdxwuLDUmlCkWzjtJdlJViRwEkvRtWtxXuFLh_6QMiFLIHPw2tcReFoRNeueWj7yFCsFKc4aqU-UMIz3PSQ6ASKLX3YInX7Tb2-jUjdEdxe4He_9przl6z_s-L4Zd0_wRsWlJtywvgJjDd3D-4UPaVNdRaXxiORew03 priority: 102 providerName: Springer Nature |
| Title | Assessment of global health risk of antibiotic resistance genes |
| URI | https://link.springer.com/article/10.1038/s41467-022-29283-8 https://www.ncbi.nlm.nih.gov/pubmed/35322038 https://www.proquest.com/docview/2642230905 https://www.proquest.com/docview/2642885757 https://pubmed.ncbi.nlm.nih.gov/PMC8943045 https://doaj.org/article/e0fbc794e4d94ed08c6031ceaf89b427 |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3da9swED_6wWAvY99z1wUP9rZpsyV_yA-jpKFZCbSMbYG8CVkfbaDYW5pC-9_vJNke2bLBXmSQZFn87k53Z0l3AG8oVWVRWkmSShmSmdKSKucVMRZ1Q6JZwb2jeHZenM6z2SJf7ECf7qgD8Hqra-fySc1XV-9vf9wdocB_DFfG-YfrzIu7O5dOK1SXhO_CPmqm0gnqWWfu-5WZVejQuI1mmmQpQd3Nuns024fZ0FU-pP82O_TP45S_7al6VTV9CA86GzMeB6Z4BDumeQz3QtbJuydwNB6iccatjUNIkDhciIzdUXNXi4Av62WLI8TokDsjE7kjvnAr41OYT0--TU5Jl0eBKHRP1sSmOtG1pJIqaRLDJDe5kkWiraUa3RmtOBIJLQd0ZygqNHTBcobYSIrE0kayZ7DXtI15ATGVXCtd6VJLm9FUc2XzQmleSZkaxXQEaY-YUF2QcZfr4kr4zW7GRUBZIMrCoyx4BG-Hd76HEBv_7H3sCDH0dOGxfUW7uhCdtAmT2FrhSmMyjYVOuHLJtJWRlld1RssIDnsyip7lBJqGaCshCnkEr4dmlDa3hSIb096EPtwlNcUhngeqDzNhOS6OOOkIyg1-2JjqZkuzvPQRvX0Q_Ay_-67nnF_T-jsUB_8F3Eu4Tx1vJ4xQdgh769WNeYUG1boewW65KLHk008j2B-PZ19n-Dw-Of_8BWsnxWTkf1WMvDT9BMgaHvw |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQwcFSKEEgIQaGwUMBIcAKrXjsP54Cq8qi29HFqpb0Zx4-yEkpKdyvUn-IbGdtJquXRWy852I4zGc_THs8AvObclEXpNWWVcTRzpadVLivqPOoGZkUho6N4cFhMjrMv03y6Ar_6uzAhrLKXiVFQ29aEPfJNVNyoyVjF8q3THzRUjQqnq30JjUQWe-7iJ7ps8_e7n3B933C-8_no44R2VQWoQWN9Qf3YMltrrrnRjjmhpcuNLpj1nls07q2RCDLqUTTuOYp3dEhyUXKhOYJunRY47w24iYqXBY4qp-WwpxOyrcss6-7mMCE351mURCFknleoyalc0n-xTMC_bNu_QzT_OKeN6m_nPtzr7FaynQjtAay4Zg1upUqWF2twN23_kXSr6SFsbQ8ZP0nrSUo7QtKlSxLC2UMrLuqsnrU4I0GnPxiySIHkJEjfR3B8LVhdh9WmbdwTIFxLa2xlS6t9xsdWGp8XxspK67Ezwo5g3GNQmS6Reain8V3FA3UhVcK6QqyriHUlR_B2eOc0pfG4cvSHsDDDyJCCOza0Zyeq42jlmK8NSjOXWXxYJk0o2G2c9rKqM16OYKNfVtXJhbm6pOIRvBq6kaPDMY1uXHuexshQOBWneJyoYIBE5CiAEegRlEv0sQTqck8z-xazhsdE-xl-911PSZdg_R8VT6_-i5dwe3J0sK_2dw_3nsEdHgidCcrFBqwuzs7dc7TYFvWLyCYEvl43X_4GuTVRfQ |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQwcFSKQEgIQXkFCgQJTmCtY-fhHFBVKKuWQsWBSnszjh_tStWm7G6F-mt8HWM7SbU8euslB8dxxuN52TOeAXjFmK7KyilCa21JbitH6kLUxDrUDdTwUoSN4peDcvcw_zQpJmvwq78L48Mqe5kYBLVptT8jH6HiRk1Ga1qMXBcW8XVnvHX6g_gKUt7T2pfTiCSyb89_4vZt8W5vB9f6NWPjj98-7JKuwgDRaLgvicsMNY1iimllqeVK2EKrkhrnmEFD32iB4KNORUOfoajHzUnBK8YVw2kYqziOew2uV7zIPI9Vk2o43_GZ10Wed_d0KBejRR6kkg-fZzVqdSJWdGEoGfAvO_fvcM0_fLZBFY7vwp3Ohk23I9HdgzU724Absarl-QbcjkeBabzhdB-2tofsn2nr0piCJI0XMFMf2u5bcYGnzbTFEdO5XXijFqkxPfKS-AEcXglWH8L6rJ3Zx5AyJYw2tamMcjnLjNCuKLURtVKZ1dwkkPUYlLpLau5ra5zI4FznQkasS8S6DFiXIoE3wzenMaXHpb3f-4UZevp03KGhnR_Jjrulpa7RKNlsbvBhqNC-eLe2yom6yVmVwGa_rLKTEQt5QdEJvBxeI3d7l42a2fYs9hG-iCoO8ShSwQAJL1AYI9AJVCv0sQLq6pvZ9DhkEA9J93P879ueki7A-j8qnlw-ixdwEzlSft472H8Kt5inc8oJ45uwvpyf2WdovC2b54FLUvh-1Wz5G4BnVbM |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Assessment+of+global+health+risk+of+antibiotic+resistance+genes&rft.jtitle=Nature+communications&rft.au=Zhang%2C+Zhenyan&rft.au=Zhang%2C+Qi&rft.au=Wang%2C+Tingzhang&rft.au=Xu%2C+Nuohan&rft.date=2022-03-23&rft.issn=2041-1723&rft.eissn=2041-1723&rft.volume=13&rft.issue=1&rft_id=info:doi/10.1038%2Fs41467-022-29283-8&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s41467_022_29283_8 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2041-1723&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2041-1723&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2041-1723&client=summon |