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      Interconnected microbiomes and resistomes in low-income human habitats

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          Summary

          Antibiotic-resistant infections annually claim hundreds of thousands of lives worldwide. This problem is exacerbated by resistance gene exchange between pathogens and benign microbes from diverse habitats. Mapping resistance gene dissemination between humans and their environment is a public health priority. We characterized the bacterial community structure and resistance exchange networks of hundreds of interconnected human fecal and environmental samples from two low-income Latin American communities. We found that resistomes across habitats are generally structured by bacterial phylogeny along ecological gradients, but identified key resistance genes that cross habitat boundaries and determined their association with mobile genetic elements. We also assessed the effectiveness of widely-used excreta management strategies in reducing fecal bacteria and resistance genes in these settings representative of low- and middle-income countries. Our results lay the foundation for quantitative risk assessment and surveillance of resistance dissemination across interconnected habitats in settings representing over two-thirds of the world’s population.

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          Most cited references39

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          The comprehensive antibiotic resistance database.

          The field of antibiotic drug discovery and the monitoring of new antibiotic resistance elements have yet to fully exploit the power of the genome revolution. Despite the fact that the first genomes sequenced of free living organisms were those of bacteria, there have been few specialized bioinformatic tools developed to mine the growing amount of genomic data associated with pathogens. In particular, there are few tools to study the genetics and genomics of antibiotic resistance and how it impacts bacterial populations, ecology, and the clinic. We have initiated development of such tools in the form of the Comprehensive Antibiotic Research Database (CARD; http://arpcard.mcmaster.ca). The CARD integrates disparate molecular and sequence data, provides a unique organizing principle in the form of the Antibiotic Resistance Ontology (ARO), and can quickly identify putative antibiotic resistance genes in new unannotated genome sequences. This unique platform provides an informatic tool that bridges antibiotic resistance concerns in health care, agriculture, and the environment.
            • Record: found
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            Call of the wild: antibiotic resistance genes in natural environments.

            Antibiotic-resistant pathogens are profoundly important to human health, but the environmental reservoirs of resistance determinants are poorly understood. The origins of antibiotic resistance in the environment is relevant to human health because of the increasing importance of zoonotic diseases as well as the need for predicting emerging resistant pathogens. This Review explores the presence and spread of antibiotic resistance in non-agricultural, non-clinical environments and demonstrates the need for more intensive investigation on this subject.
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              Antibiotics and antibiotic resistance in water environments.

              Antibiotic-resistant organisms enter into water environments from human and animal sources. These bacteria are able to spread their genes into water-indigenous microbes, which also contain resistance genes. On the contrary, many antibiotics from industrial origin circulate in water environments, potentially altering microbial ecosystems. Risk assessment protocols for antibiotics and resistant bacteria in water, based on better systems for antibiotics detection and antibiotic-resistance microbial source tracking, are starting to be discussed. Methods to reduce resistant bacterial load in wastewaters, and the amount of antimicrobial agents, in most cases originated in hospitals and farms, include optimization of disinfection procedures and management of wastewater and manure. A policy for preventing mixing human-originated and animal-originated bacteria with environmental organisms seems advisable.

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                13 April 2016
                11 May 2016
                2016
                11 November 2016
                : 533
                : 212-216
                Affiliations
                [1 ]Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
                [2 ]Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
                [3 ]Facultad de Ciencias de la Salud “Dr. Luis Edmundo Vásquez”, Universidad Dr. José Matías Delgado, El Salvador
                [4 ]Laboratorios de Investigación y Desarrollo, Universidad Peruana Cayetano Heredia, Lima, Peru
                [5 ]Asociacion Benéfica PRISMA, Lima, Peru
                [6 ]Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
                [7 ]Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
                [8 ]Department of International Health, Johns Hopkins School of Public Health, Baltimore, Maryland 21205, USA
                [9 ]Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63105, USA
                Author notes
                [* ]To whom correspondence should be addressed: dantas@ 123456wustl.edu
                [†]

                These authors contributed equally to this work.

                Article
                NIHMS770339
                10.1038/nature17672
                4869995
                27172044
                3e7eca57-20f5-4e06-891a-7a31b0f2d854

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