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      Whole Genome Sequencing Analysis of Porcine Faecal Commensal Escherichia coli Carrying Class 1 Integrons from Sows and Their Offspring

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          Abstract

          Intensive pig production systems often rely on the use of antimicrobials and heavy metal feed additives to maintain animal health and welfare. To gain insight into the carriage of antimicrobial resistance genes (ARGs) in the faecal flora of commercially reared healthy swine, we characterised the genome sequences of 117 porcine commensal E. coli that carried the class 1 integrase gene ( intI1 +). Isolates were sourced from 42 healthy sows and 126 of their offspring from a commercial breeding operation in Australia in 2017. intI1 + E. coli was detected in 28/42 (67%) sows and 90/126 (71%) piglets. Phylogroup A, particularly clonal complex 10, and phylogroup B1 featured prominently in the study collection. ST10, ST20, ST48 and ST361 were the dominant sequence types. Notably, 113/117 isolates (96%) carried three or more ARGs. Genes encoding resistance to β-lactams, aminoglycosides, trimethoprim, sulphonamides, tetracyclines and heavy metals were dominant. ARGs encoding resistance to last-line agents, such as carbapenems and third generation cephalosporins, were not detected. IS 26, an insertion sequence noted for its ability to capture and mobilise ARGs, was present in 108/117 (92%) intI1 + isolates, and it played a role in determining class 1 integron structure. Our data shows that healthy Australian pig faeces are an important reservoir of multidrug resistant E. coli that carry genes encoding resistance to multiple first-generation antibiotics and virulence-associated genes.

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          A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data.

          Open-source bacterial genome assembly remains inaccessible to many biologists because of its complexity. Few software solutions exist that are capable of automating all steps in the process of de novo genome assembly from Illumina data.
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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.
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              Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution

              Around all human activity, there are zones of pollution with pesticides, heavy metals, pharmaceuticals, personal care products and the microorganisms associated with human waste streams and agriculture. This diversity of pollutants, whose concentration varies spatially and temporally, is a major challenge for monitoring. Here, we suggest that the relative abundance of the clinical class 1 integron-integrase gene, intI1, is a good proxy for pollution because: (1) intI1 is linked to genes conferring resistance to antibiotics, disinfectants and heavy metals; (2) it is found in a wide variety of pathogenic and nonpathogenic bacteria; (3) its abundance can change rapidly because its host cells can have rapid generation times and it can move between bacteria by horizontal gene transfer; and (4) a single DNA sequence variant of intI1 is now found on a wide diversity of xenogenetic elements, these being complex mosaic DNA elements fixed through the agency of human selection. Here we review the literature examining the relationship between anthropogenic impacts and the abundance of intI1, and outline an approach by which intI1 could serve as a proxy for anthropogenic pollution.
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                Author and article information

                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                04 June 2020
                June 2020
                : 8
                : 6
                : 843
                Affiliations
                [1 ]The ithree institute, University of Technology Sydney, Sydney NSW 2007, Australia; tiziana.zingali@ 123456student.uts.edu.au (T.Z.); cameron.reid@ 123456uts.edu.au (C.J.R.); daniela.gaio@ 123456student.uts.edu.au (D.G.); michael.liu@ 123456uts.edu.au (M.L.); aaron.darling@ 123456uts.edu.au (A.E.D.)
                [2 ]NSW Department of Primary Industries, Elizabeth MacArthur Agricultural Institute, Menangle NSW 2568, Australia; toni.chapman@ 123456dpi.nsw.gov.au
                Author notes
                [* ]Correspondence: steven.djordjevic@ 123456uts.edu.au ; Tel.: +61-29-5144-127
                Author information
                https://orcid.org/0000-0002-4571-1629
                https://orcid.org/0000-0001-9301-5372
                Article
                microorganisms-08-00843
                10.3390/microorganisms8060843
                7355456
                32512857
                ae70cd68-9ab5-4e97-a4ce-cef0e40f4c33
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 May 2020
                : 03 June 2020
                Categories
                Article

                porcine e. coli,commensal e. coli,class 1 integron,microbial genomic epidemiology,antimicrobial resistance

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