<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd"><article xml:lang="en" dtd-version="1.3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article"><front><journal-meta><journal-id journal-id-type="issn">2615-790X</journal-id><journal-title-group><journal-title>Tropical Animal Science Journal</journal-title><abbrev-journal-title>Trop. Anim. Sci. J.</abbrev-journal-title></journal-title-group><issn pub-type="epub">2615-790X</issn><issn pub-type="ppub">2615-787X</issn><publisher><publisher-name>Faculty of Animal Science, IPB University</publisher-name><publisher-loc>Indonesia</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.5398/tasj.2026.49.6.556</article-id><title-group><article-title>Draft Genome of Carbapenemases and Extended-Spectrum β-Lactamase (ESBL) Producing Extraintestinal <italic>Escherichia coli </italic>(ExPEC) ST410 from a Chicken Farm in Malaysia</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Aklilu</surname><given-names>E.</given-names></name><address><country>Malaysia</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Harun</surname><given-names>A.</given-names></name><address><country>Malaysia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Singh</surname><given-names>K. K. B.</given-names></name><address><country>Malaysia</country></address><xref ref-type="aff" rid="AFF-2"></xref></contrib><contrib contrib-type="author"><name><surname>Adrenalin</surname><given-names>S. L.</given-names></name><address><country>Indonesia</country></address><xref rid="AFF-3" ref-type="aff"></xref></contrib></contrib-group><contrib-group><contrib contrib-type="editor"><name><surname>Wiryawan</surname><given-names>Prof. Dr. Komang G</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="EDITOR-AFF-1"></xref></contrib></contrib-group><aff id="AFF-1"><institution content-type="dept">Research Center for Zoonotic and Transboundary Animal Diseases (ZOTRAD), Faculty of Veterinary Medicine</institution><institution-wrap><institution>Universiti Malaysia Kelantan</institution><institution-id institution-id-type="ror">https://ror.org/0463y2v87</institution-id></institution-wrap><country country="MY">Malaysia</country></aff><aff id="AFF-2"><institution content-type="dept">Department of Medical Microbiology and Parasitology, School of Medical Sciences</institution><institution-wrap><institution>Universiti Sains Malaysia</institution><institution-id institution-id-type="ror">https://ror.org/02rgb2k63</institution-id></institution-wrap><country country="MY">Malaysia</country></aff><aff id="AFF-3"><institution content-type="dept">Faculty of Veterinary Medicine</institution><institution-wrap><institution>Universitas Brawijaya</institution><institution-id institution-id-type="ror">https://ror.org/01wk3d929</institution-id></institution-wrap><country country="ID">Indonesia</country></aff><aff id="EDITOR-AFF-1">Tropical Animal Science Journal</aff><pub-date date-type="pub" iso-8601-date="2026-9-11" publication-format="electronic"><day>11</day><month>9</month><year>2026</year></pub-date><pub-date date-type="collection" iso-8601-date="2026-9-3" publication-format="electronic"><day>3</day><month>9</month><year>2026</year></pub-date><volume>49</volume><issue>6</issue><issue-title>Tropical Animal Science Journal (Issue in progress)</issue-title><fpage>556</fpage><lpage>561</lpage><history><date iso-8601-date="2026-4-1" date-type="received"><day>1</day><month>4</month><year>2026</year></date></history><permissions><copyright-statement>Copyright (c) 2026 Tropical Animal Science Journal</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Tropical Animal Science Journal</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-sa/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by-sa/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Tropical Animal Science Journal. The statement to release the copyright to Tropical Animal Science Journal is stated in Form A. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.</license-p></license></permissions><self-uri xlink:href="https://journal.ipb.ac.id/tasj/article/view/72412" xlink:title="Draft Genome of Carbapenemases and Extended-Spectrum β-Lactamase (ESBL) Producing Extraintestinal Escherichia coli (ExPEC) ST410 from a Chicken Farm in Malaysia">Draft Genome of Carbapenemases and Extended-Spectrum β-Lactamase (ESBL) Producing Extraintestinal Escherichia coli (ExPEC) ST410 from a Chicken Farm in Malaysia</self-uri><abstract><p>Food animals have been implicated as potential sources of common multidrug-resistant bacteria. We report the draft genome of an extended-spectrum β-lactamase (ESBL)- producing and carbapenem-resistant <italic>Escherichia coli</italic> ST410 isolated from a chicken. Identification of the <italic>E. coli </italic>isolate was done using both phenotypic and genotypic methods. Genomic DNA from the isolate was extracted and sequenced using the Illumina HiSeq 2000 platform. The draft genome was annotated, and AMR and virulence genes were identified. The assembled genome comprised 181 contigs, with a total length of 5,212,201 bp and an average GC content of 50.39%. The N50 length and L50 count were 109,990 bp and 15, respectively. Several genes conferring resistance to carbapenems, β-lactam antibiotics, and other major antibiotic classes were detected. The isolate was assigned to the globally prevalent <italic>E. coli</italic> ST410, which carries the β-lactamase-encoding genes CTX-55 and TEM-176. Various virulence-encoding genes, including fim, ompF, SbcD, and recD, were identified. The genome sequence helps in understanding AMR and virulence in <italic>E. coli</italic> from food animals, particularly chickens.</p></abstract><kwd-group><kwd>Escherichia coli</kwd><kwd>ESBL</kwd><kwd>CRE</kwd><kwd>whole-genome sequencing</kwd><kwd>antimicrobial resistance</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2026</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>Carbapenems are broad-spectrum beta (β)-lactam antimicrobials that are considered last-resort agents for the treatment of severe infections caused by multidrug-resistant Gram-negative bacteria. The expanded use of carbapenems in clinical settings has contributed to the global emergence of carbapenem-resistant Enterobacteriaceae, which pose a major public health challenge due to limited therapeutic options and high associated morbidity and mortality <xref ref-type="bibr" rid="BIBR-14">(Paul et al., 2022)</xref>. Although carbapenem resistance has traditionally been linked to healthcare environments, increasing evidence indicates that resistant bacteria and resistance determinants are now disseminated across diverse ecological niches beyond hospitals.</p><p>Food-producing animals have gained attention as potential reservoirs and transmission pathways for clinically relevant antimicrobial-resistant bacteria. Carbapenem-resistant and extended-spectrum β-lactamase (ESBL)-producing <italic>Escherichia coli </italic>have been detected in livestock, companion animals, wildlife, and food products, raising concerns regarding zoonotic transmission and environmental dissemination <xref ref-type="bibr" rid="BIBR-10">(Köck et al., 2018)</xref>. Given that carbapenems are not approved for use in animal agriculture, carbapenem resistance in food animals is thought to result from indirect selection pressure, co-selection with other antimicrobials, and horizontal gene transfer mediated by mobile genetic elements <xref ref-type="bibr" rid="BIBR-6">(European Food Safety Authority &amp; European Center for Disease Prevention and Control (EFSA &amp; ECDC, 2023)</xref>.</p><p>Among antimicrobial-resistant organisms, ESBL-producing <italic>E. coli</italic> has been designated by the World Health Organization as a critical priority pathogen due to its widespread distribution, genetic plasticity, and ability to cause both intestinal and extraintestinal infections. ESBL-producing <italic>E. coli</italic> are commonly reported in food-animal reservoirs and retail meat products, and several studies have demonstrated genetic relatedness between animal-derived isolates and human clinical strains, underscoring the public health importance of the food chain as a potential route of transmission <xref ref-type="bibr" rid="BIBR-9">(Kanokudom et al., 2021)</xref>.</p><p>In Malaysia, antimicrobial-resistant <italic>E. coli</italic> in poultry has been documented, including reports of carbapenem-resistant <italic>E. coli</italic> in live chickens and ESBL-producing strains in poultry products <xref rid="BIBR-1" ref-type="bibr">(Aklilu et al., 2021)</xref>; <xref ref-type="bibr" rid="BIBR-2">(Aklilu et al., 2018)</xref>. However, information remains limited regarding isolates that simultaneously exhibit carbapenem resistance and ESBL production, particularly those characterized using whole-genome sequencing. Moreover, data on the genetic backgrounds, resistance gene profiles, and virulence potential of such isolates from food animals in Malaysia are scarce.</p><p>Within a One Health framework that recognizes the interconnectedness of human, animal, and environmental health, genomic surveillance of antimicrobial-resistant bacteria in food-animal production systems is essential for early detection of high-risk lineages and mitigation of their spread. Whole-genome sequencing enables comprehensive characterization of resistance and virulence determinants and supports high-resolution tracking of globally disseminated clones. This study aimed to characterize the genome, antimicrobial resistance determinants, and virulence-associated genes of a novel carbapenem-resistant ESBL-producing <italic>E. coli</italic> ST410 isolate from poultry in Malaysia.</p></sec><sec><title>MATERIALS AND METHODS</title><sec><title>Ethical Approval</title><p>This study was approved by the Institutional Animal Care and Use Committee of University Malaysia Kelantan (Approval code: UMK/FPV/ACUE/PG/2/2019, Approval Date: February 2019). The animal subjects (chickens from commercial poultry farms) were used only for cloacal swab collection, and no invasive or harmful procedures were performed during handling.</p></sec><sec><title>Bacterial Isolation and Antimicrobial Susceptibility Testing</title><p><italic>Escherichia coli</italic> strain PR24.ERK-UMK was isolated from a cloacal swab collected in January 2019 from a four-week-old broiler chicken sampled at a commercial poultry farm in Kelantan, Malaysia. Isolation and species identification were performed using routine microbiological methods, followed by PCR amplification of the species-specific <italic>pho</italic>A gene and selected antimicrobial resistance genes, including <italic>bla</italic>CTX, <italic>bla</italic>TEM, <italic>bla</italic>OXA-48, <italic>bla</italic>IMP, and<italic> bla</italic>NDM. Antimicrobial susceptibility was determined by disk diffusion, and minimum inhibitory concentrations (MICs) of selected antibiotics were assessed using E-test strips (bioMérieux, France). Phenotypic confirmation of carbapenem resistance was performed using the carbapenem inactivation method in accordance with the guidelines of the Clinical and Laboratory Standards Institute <xref ref-type="bibr" rid="BIBR-4">(Clinical and Laboratory Standards Institute, 2021)</xref>. Interpretation of susceptibility results followed CLSI breakpoints.</p></sec><sec><title>Genomic DNA Extraction, Sequencing, and Assembly</title><p>Genomic DNA was extracted from overnight cultures grown on Brain Heart Infusion agar using a commercial DNA, RNA, and protein purification kit (Macherey-Nagel, Germany) according to the manufacturer’s instructions. DNA quality and purity were assessed using a NanoDrop 2000 spectrophotometer (Thermo Scientific), and concentrations were measured using a Qubit 2.0 Fluorometer (Life Technologies). Whole-genome sequencing libraries were prepared from 50 ng of genomic DNA and sequenced using the Illumina HiSeq 2000 platform (Illumina Inc., San Diego, CA, USA). Raw sequencing reads were quality-checked with FastQC, then de novo genome assembly was performed using the CGE Assembler pipeline after adapter trimming.</p></sec><sec><title>Genome Annotation and Bioinformatics Analysis</title><p>The assembled draft genome was annotated using the NCBI prokaryotic genome annotation pipeline and the RASTtk annotation system <xref ref-type="bibr" rid="BIBR-12">(Olson et al., 2023)</xref>. Comprehensive genome analysis, including identification of antimicrobial resistance genes, virulence factors, protein families, and metabolic pathways, was performed using the PATRIC bioinformatics platform <xref ref-type="bibr" rid="BIBR-17">(Wattam et al., 2017)</xref>. Functional annotation included assignment of Gene Ontology terms <xref ref-type="bibr" rid="BIBR-7">(Consortium, 2023)</xref>, KEGG pathway mapping <xref rid="BIBR-8" ref-type="bibr">(Kanehisa et al., 2023)</xref>, and classification into protein families using PATtyFams and subsystem-based approaches <xref ref-type="bibr" rid="BIBR-5">(Davis et al., 2016)</xref>; <xref ref-type="bibr" rid="BIBR-13">(Overbeek et al., 2005)</xref>. Virulence-associated genes were identified using curated virulence factor databases integrated into PATRIC <xref ref-type="bibr" rid="BIBR-11">(Liu et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-15">(Sayers et al., 2022)</xref>. Antimicrobial resistance determinants and potential drug targets were annotated using established resistance and pharmacological databases<xref ref-type="bibr" rid="BIBR-3">(Alcock et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-16">(Wang et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-18">(Wishart et al., 2018)</xref>. Multilocus sequence typing (MLST) was performed in silico using the MLST 2.0 tool from the Center for Genomic Epidemiology to determine the isolate’s sequence type.</p></sec></sec><sec><title>RESULTS</title><p>The genome annotation service in PATRIC uses a k-mer-based AMR gene detection method that leverages PATRIC’s curated collection of representative AMR gene sequence variants and assigns functional annotations, broad mechanisms of antibiotic resistance, drug classes, and, in some cases, the specific antibiotic to which each AMR confers resistance. A summary of the AMR and virulence genes annotated in this genome, along with the corresponding AMR mechanisms, is shown in <xref ref-type="table" rid="table-1">Tables 1</xref> and <xref ref-type="table" rid="table-2">2</xref>. Multilocus sequence typing (MLST) of the isolate, performed using MLST 2.0 (https://cge.cbs.dtu.dk/services/MLST/), showed that PR24.ERK-UMK belongs to a globally disseminated antimicrobial-resistant <italic>E. coli</italic>, ST410.</p><p>Phylogenetic analyses showed that <italic>E. coli</italic> PR24.ERK-UMK was closely related to E. coli O104:H4 str.2011-3493. The isolate also shares about 72% similarity with <italic>Shigella</italic> sp. (<italic>Shigella flexneri</italic> 2a str. 301 and Shigella boydii sb227) based on whole-genome single-nucleotide polymorphism (SNP) analysis (<xref ref-type="fig" rid="figure-1">Figure 1</xref>). Several antibiotic resistance-conferring genes were identified, providing resistance against extended-spectrum β-lactams, carbapenems, fluoroquinolones, macrolides, and tetracyclines (<xref ref-type="table" rid="table-1">Table 1</xref>).</p><table-wrap id="table-1" ignoredToc=""><label>Table 1</label><caption><p>Antimicrobial resistance genes and the respective mechanisms of action of carbapenem-resistant <italic>Escherichia coli </italic>and extended-spectrum beta-lactamases producing<italic> E. coli </italic> isolates from chicken</p></caption><table rules="all" frame="box"><thead><tr><th scope="col" colspan="1" valign="top" align="left"><bold>AMR Mechanism                                      </bold></th><th scope="col" align="left" colspan="1" valign="top">Genes</th></tr></thead><tr><td valign="top" align="left" colspan="1">Antibiotic activation enzyme</td><td colspan="1" valign="top" align="left">KatG</td></tr><tr><td align="left" colspan="1" valign="top">Antibiotic inactivation enzyme</td><td valign="top" align="left" colspan="1">APH (3")-1, APH (3')-1, APH(6)-Ic/APH(6)-Id, BlaEC family, CTX-M family, Mph(A) family, TEM family</td></tr><tr><td valign="top" align="left" colspan="1">Antibiotic resistance gene cluster, cassette,or operon</td><td valign="top" align="left" colspan="1">MarA, MarB, MarR</td></tr><tr><td align="left" colspan="1" valign="top">Antibiotic target in susceptible species</td><td valign="top" align="left" colspan="1">Alr, Ddl, dxr, EF-G, EF-Tu, folA, Dfr, folP, gyrA, gyrB, inhA, fabl, Iso-tRNA, kasA, MurA, rho, rpoB, rpoC, SlOp, S12p</td></tr><tr><td valign="top" align="left" colspan="1">Antibiotic target modifying enzyme           </td><td align="left" colspan="1" valign="top">Erm (42) </td></tr><tr><td colspan="1" valign="top" align="left">Antibiotic target protection protein             </td><td valign="top" align="left" colspan="1">BcrC</td></tr><tr><td valign="top" align="left" colspan="1">Efflux pump conferring antibiotic resistance</td><td align="left" colspan="1" valign="top">AcrAB-TolC, AcrAD-TolC, AcrEF-TolC , AcrZ, EmrAB-TolC, EmrD, EmrE, EmrKY-TolC, FloR family, MacA, MacB, MdfA/Cmr, MdtABC-TolC, MdtEF-TolC, MdtL, MdtM, QacE, SugE, Tet(A), TolC/OpmH</td></tr><tr><td align="left" colspan="1" valign="top">Gene conferring resistance via absence      </td><td align="left" colspan="1" valign="top">gidB</td></tr><tr><td valign="top" align="left" colspan="1">Protein altering cell wall charge conferring antibiotic resistance</td><td valign="top" align="left" colspan="1">GdpD, PgsA</td></tr><tr><td valign="top" align="left" colspan="1">Regulator modulating expression of antibiotic resistance genes</td><td valign="top" align="left" colspan="1">AcrAB-TolC, EmrAB-TolC, GadE, H-NS, OxyR</td></tr></table></table-wrap><table-wrap ignoredToc="" id="table-2"><label>Table 2</label><caption><p> Virulence genes of <italic>Escherichia coli </italic>PR24.UMK-ERK isolated from chicken</p></caption><table frame="box" rules="all"><thead><tr><th scope="col" align="left" colspan="1" valign="top">Virulence factor</th><th scope="col" valign="top" align="left" colspan="1">Identity</th><th scope="col" valign="top" align="left" colspan="1">Query / Template length</th><th scope="col" valign="top" align="left" colspan="1">Position in contig    </th><th scope="col" valign="top" align="left" colspan="1">Protein function</th><th scope="col" colspan="1" valign="top" align="left">Accession number</th></tr></thead><tr><td colspan="1" valign="top" align="left"><italic>cib</italic></td><td colspan="1" valign="top" align="center">100</td><td align="center" colspan="1" valign="top">1881 / 1881</td><td align="center" colspan="1" valign="top">601..2481</td><td align="left" colspan="1" valign="top">Colicin ib</td><td align="center" colspan="1" valign="top">KP198616</td></tr><tr><td valign="top" align="left" colspan="1"><italic>fyuA</italic></td><td valign="top" align="center" colspan="1">100</td><td valign="top" align="center" colspan="1">2022 / 2022</td><td valign="top" align="center" colspan="1">40177..42198</td><td valign="top" align="left" colspan="1">Siderophore receptor</td><td valign="top" align="center" colspan="1">ADTR01000532</td></tr><tr><td align="left" colspan="1" valign="top"><italic>gad</italic></td><td valign="top" align="center" colspan="1">100</td><td align="center" colspan="1" valign="top">1401 / 1401</td><td valign="top" align="center" colspan="1">8694..10094</td><td valign="top" align="left" colspan="1">Glutamate decarboxylase</td><td valign="top" align="center" colspan="1">CP004009</td></tr><tr><td valign="top" align="left" colspan="1"><italic>hra</italic></td><td align="center" colspan="1" valign="top">89.54</td><td valign="top" align="center" colspan="1"> 784 / 792</td><td colspan="1" valign="top" align="center">1840..2607</td><td colspan="1" valign="top" align="left">Heat-resistant agglutinin</td><td align="center" colspan="1" valign="top">CP043942</td></tr><tr><td colspan="1" valign="middle" align="left"><italic>irp2</italic></td><td align="center" colspan="1" valign="middle">100</td><td align="center" colspan="1" valign="middle">6108 / 6108   </td><td valign="middle" align="center" colspan="1">20881..26988</td><td valign="middle" align="left" colspan="1">High molecular weight protein 2 non-ribosomal peptide synthetase    </td><td align="center" colspan="1" valign="middle">NZ_UEMO01000028</td></tr><tr><td valign="top" align="left" colspan="1"><italic>iss</italic></td><td valign="top" align="center" colspan="1">98.64</td><td align="center" colspan="1" valign="top">294 / 294</td><td colspan="1" valign="top" align="center">36461..36754</td><td align="left" colspan="1" valign="top">Increased serum survival</td><td valign="top" align="center" colspan="1">CP004009</td></tr><tr><td align="left" colspan="1" valign="top"><italic>lpf</italic>A   </td><td colspan="1" valign="top" align="center">100</td><td valign="top" align="center" colspan="1">573 / 573</td><td valign="top" align="center" colspan="1">80837..81409</td><td colspan="1" valign="top" align="left">Long polar fimbriae</td><td valign="top" align="center" colspan="1">AY646923</td></tr><tr><td align="left" colspan="1" valign="top"><italic>ter</italic>C  </td><td align="center" colspan="1" valign="top">100</td><td valign="top" align="center" colspan="1">714 / 714</td><td valign="top" align="center" colspan="1">83275..83988</td><td align="left" colspan="1" valign="top">Tellurium ion resistance protein</td><td valign="top" align="center" colspan="1">CP007491</td></tr><tr><td valign="top" align="left" colspan="1"><italic>ter</italic>C</td><td colspan="1" valign="top" align="center">100</td><td colspan="1" valign="top" align="center">966 / 966</td><td align="center" colspan="1" valign="top">29194..130159        </td><td align="left" colspan="1" valign="top">Tellurium ion resistance protein</td><td valign="top" align="center" colspan="1">MG591698</td></tr></table></table-wrap><fig ignoredToc="" id="figure-1"><label>Figure 1</label><caption><p>Phylogenetic  analyses  of  <italic>Escherichia  coli</italic> PR24.ERK-UMK shows close similarity to <italic>E.  coli </italic> O104:H4 str. 20113493 and to Shigella species based on Single Nucleotide Polymorphism (SNP) analysis.</p></caption><graphic mime-subtype="png" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/72412/version/52898/34180/417847"><alt-text>Image</alt-text></graphic></fig><p>Among the several resistance encoding genes identified are <italic>fim</italic> (Fimbrin-like protein FimI), <italic>ompF </italic>(Outer membrane porin OmpF), <italic>SbcD</italic> (Exonuclease SbcD), <italic>recD</italic> (Exodeoxyribonuclease V alpha chain (EC 3.1.11.5)), <italic>fur</italic> (Ferric uptake regulation protein), <italic>soxS </italic>(DNA-binding transcriptional dual regulator SoxS), <italic>cadB</italic> (Lysine/cadaverine antiporter membrane protein CadB), <italic>fimB</italic> (Type 1 fimbriae regulatory protein FimB), <italic>hrpA</italic> (ATP-dependent helicase HrpA) and <italic>speA</italic> (Biosynthetic arginine decarboxylase (EC 4.1.1.19)) (<xref ref-type="fig" rid="figure-2">Figure 2</xref>).</p><p>Comparative structural analyses of the Class A beta-lactamase (EC 3.5.2.6), CTX-M family, and extended-spectrum beta-lactamase show the unique features of the isolate, implying the possible novelty of the beta-lactamase gene in this isolate (<xref ref-type="fig" rid="figure-3">Figure 3</xref>). The whole-genome sequence was submitted to GenBank. Biosample metadata are available in the NCBI BioSample database (http://www.ncbi.nlm.nih.gov/biosample/) under accession number SAMN22160936.</p><fig id="figure-2" ignoredToc=""><label>Figure 2</label><caption><p> Genome  structure  of  Escherichia  coli PR24.ERK-UMK showing selected and major antimicrobial resistance and virulence genes</p></caption><graphic xlink:href="https://journal.ipb.ac.id/tasj/article/download/72412/version/52898/34180/417848" mime-subtype="png" mimetype="image"><alt-text>Image</alt-text></graphic></fig><fig id="figure-3" ignoredToc=""><label>Figure 3</label><caption><p> Comparison of Class A beta-lactamase (EC 3.5.2.6), CTX-M family, and extended-spectrum beta-lactamase genes of <italic>Escherichia coli </italic>PR24.ERK-UMK with other isolates based on PATRIC cross-genus families (PGfams)</p></caption><p>Key: 1) Class A beta-lactamase (EC 3.5.2.6), CTX-M family and extended-spectrum, 2) Tryptophan synthase (indole-salvaging) (EC 4.2.1.122), 3) Mobile element protein, 4) Mobile element protein, 5) FIG00639819: hypothetical protein, 6) Hypothetical protein.</p><graphic mime-subtype="jpg" mimetype="image" xlink:href="https://journal.ipb.ac.id/tasj/article/download/72412/version/52898/34180/417849"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>DISCUSSION</title><p>Extended-spectrum β-lactamase-producing and carbapenem-resistant <italic>E. coli</italic> have become emerging problems in food animals and are a potential source of human infection and/or colonization. Although extended-spectrum β-lactam antibiotics and carbapenems are not used in poultry production in Malaysia, reports have documented the prevalence of these pathogens in chickens <xref ref-type="bibr" rid="BIBR-1">(Aklilu et al., 2021)</xref>. This might be attributed to the fact that genes encoding carbapenemases and extended-spectrum β-lactamases are mostly plasmid-mediated, and that co-resistance may play a role in the spread of such plasmid-mediated resistance mechanisms <xref ref-type="bibr" rid="BIBR-6">(European Food Safety Authority &amp; European Center for Disease Prevention and Control (EFSA &amp; ECDC, 2023)</xref>.</p><p>The identification of a carbapenem-resistant and ESBL-producing <italic>Escherichia coli</italic> ST410 isolate from poultry highlights the expanding ecological distribution of this globally disseminated high-risk clone. Although carbapenems are not used in poultry production, the presence of carbapenem-associated resistance determinants likely reflects indirect selection pressure and horizontal gene transfer mediated by plasmid-encoded co-resistance mechanisms <xref ref-type="bibr" rid="BIBR-6">(European Food Safety Authority &amp; European Center for Disease Prevention and Control (EFSA &amp; ECDC, 2023)</xref>; <xref ref-type="bibr" rid="BIBR-14">(Paul et al., 2022)</xref>. Similar observations have been reported among livestock-associated Enterobacteriaceae, suggesting that food animals may act as reservoirs for clinically relevant antimicrobial resistance genes <xref rid="BIBR-9" ref-type="bibr">(Kanokudom et al., 2021)</xref>.</p><p>The assignment of this isolate to sequence type ST410 is notable, as this lineage has been increasingly associated with multidrug resistance and ESBL production in both human and animal sources worldwide <xref ref-type="bibr" rid="BIBR-14">(Paul et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-10">(Köck et al., 2018)</xref>. This resistance profile is consistent with previously reported ST410 isolates from human and animal sources, which frequently co-harbor these mechanisms of resistance. The detection of <italic>bla</italic>CTX-M-55 and <italic>bla</italic>TEM-176, together with regulatory and efflux-related genes (acrAB-TolC, marA, soxS), supports the classification of this isolate as a multidrug-resistant lineage with enhanced adaptive potential <xref ref-type="bibr" rid="BIBR-3">(Alcock et al., 2023)</xref>.</p><p>In addition to antimicrobial resistance, the genome harbored several virulence-associated genes consistent with extraintestinal pathogenic <italic>E. coli.</italic> Genes involved in adhesion, iron acquisition, serum survival, and stress adaptation (<italic>fimB, fyuA, irp2, iss, gad</italic>) may enhance colonization and persistence in host environments <xref ref-type="bibr" rid="BIBR-11">(Liu et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-15">(Sayers et al., 2022)</xref>. The co-occurrence of resistance and virulence determinants raises concerns about zoonotic potential and underscores the value of whole-genome sequencing for the surveillance of food-animal-associated AMR pathogens.</p><p>The detection of a multidrug-resistant ExPEC ST410 strain in poultry has important public health implications, as food animals may serve as reservoirs for high-risk <italic>E. coli</italic> lineages that can be transmitted to humans through the food chain or environmental exposure. Genomically similar resistant strains have been reported across animal, food, and clinical sectors, reinforcing the need for integrated One Health surveillance approaches <xref ref-type="bibr" rid="BIBR-14">(Paul et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-9">(Kanokudom et al., 2021)</xref>. Early genomic detection of such lineages in food production systems may facilitate targeted interventions to limit dissemination.</p><p>This study is limited by the analysis of a single isolate, preventing the assessment of prevalence or transmission dynamics within poultry populations. In addition, reliance on short-read sequencing limited our ability to fully resolve plasmid structures and the mobile genetic elements that mediate resistance transfer. Functional validation of resistance and virulence genes was beyond the scope of this work. Future studies incorporating larger collections of isolates, long-read sequences, and comparative analyses across animal, human, and environmental sources are warranted.</p></sec><sec><title>CONCLUSION</title><p>This study reports the draft genome of a carbapenem-resistant, ESBL-producing <italic>E. coli </italic>ST410 isolate from poultry in Malaysia, providing genomic evidence for the presence of a globally disseminated high-risk clone in food animal production. Despite methodological limitations, the co-occurrence of multidrug resistance and ExPEC-associated virulence determinants highlights the public health relevance of this finding. These results support the use of whole-genome sequencing as a critical tool for early detection and surveillance of priority antimicrobial-resistant lineages within a One Health framework.</p></sec><sec><title>CONFLICT OF INTEREST</title><p>The authors declare no conflict of interest.</p></sec><sec><title>ACKNOWLEDGEMENT</title><p>The authors would like to express their appreciation to the Ministry of Higher Education, Malaysia (MOHE), for supporting this research. We would also like to thank the laboratory assistants at the Bacteriology, Mycology, and Virology Laboratories for their help in facilitating the research. We also extend our thanks to the Faculty of Veterinary Medicine, Universiti Malaysia Kelantan, and the Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, for their support of this research.</p></sec><sec><title>DECLARATION OF GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS</title><p>During the preparation of this work, the author(s) used the built-in Microsoft Word Copilot to facilitate formatting and editing. After using this tool/service, the author(s) reviewed and edited the content as needed and take full responsibility for the content of the publication.</p></sec></body><back><sec sec-type="how-to-cite"><title>How to Cite</title><p>Aklilu, E., Harun, A., Singh, K. K. B., &amp; Adrenalin, S. L. (2026). Draft Genome of Carbapenemases and Extended-Spectrum β-Lactamase (ESBL) Producing Extraintestinal Escherichia coli (ExPEC) ST410 from a Chicken Farm in Malaysia. <italic>Tropical Animal Science Journal</italic>, <italic>49</italic>(6), 556. https://doi.org/10.5398/tasj.2026.49.6.556</p></sec><ref-list><title>References</title><ref id="BIBR-1"><element-citation publication-type="journal"><article-title>Phylogenetically diverse Escherichia coli strains from chicken coharbor multiple carbapenemase-encoding genes (blaNDM, blaOXA, blaIMP</article-title><source>BioMed Research International</source><volume>5596502</volume><person-group person-group-type="author"><name><surname>Aklilu</surname><given-names>E.</given-names></name><name><surname>Harun</surname><given-names>A.</given-names></name><name><surname>Banga Singh</surname><given-names>K.K.</given-names></name><name><surname>Ibrahim</surname><given-names>S.</given-names></name><name><surname>Kamaruzzaman</surname><given-names>N.F.</given-names></name></person-group><year>2021</year><pub-id pub-id-type="doi">10.1155/2021/5596502</pub-id></element-citation></ref><ref id="BIBR-2"><element-citation publication-type="journal"><article-title>Phenotypic and molecular characterization of extended-spectrum beta-lactamase (ESBL) Escherichia coli in raw chicken meat and bean sprouts (Vigna radiata) in Kota Bharu, Kelantan</article-title><source>International Journal of Pharmaceutical and Biological Sciences</source><person-group person-group-type="author"><name><surname>Aklilu</surname><given-names>E.</given-names></name><name><surname>Raman</surname><given-names>K.</given-names></name><name><surname>Arshad</surname><given-names>M.M.B.</given-names></name></person-group><year>2018</year><comment>Special Issue SP-01, 411</comment></element-citation></ref><ref id="BIBR-3"><element-citation publication-type="journal"><article-title>comprehensive antibiotic resistance database</article-title><source>Nucleic Acids Research</source><volume>51</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Alcock</surname><given-names>B.P.</given-names></name><name><surname>Huynh</surname><given-names>W.</given-names></name><name><surname>Chalil</surname><given-names>R.</given-names></name><name><surname>Smith</surname><given-names>K.W.</given-names></name><name><surname>Raphenya</surname><given-names>A.R.</given-names></name><name><surname>Wlodarski</surname><given-names>M.A.</given-names></name><name><surname>Edalatmand</surname><given-names>A.</given-names></name><name><surname>Petkau</surname><given-names>A.</given-names></name><name><surname>Syed</surname><given-names>S.A.</given-names></name><name><surname>Tsang</surname><given-names>K.K.</given-names></name><name><surname>Baker</surname><given-names>S.J.C.</given-names></name><name><surname>Dave</surname><given-names>M.</given-names></name><name><surname>McCarthy</surname><given-names>M.C.</given-names></name><name><surname>Mukiri</surname><given-names>K.M.</given-names></name><name><surname>Nasir</surname><given-names>J.A.</given-names></name><name><surname>Golbon</surname><given-names>B.</given-names></name><name><surname>Imtiaz</surname><given-names>H.</given-names></name><name><surname>Jiang</surname><given-names>X.</given-names></name><name><surname>Kaur</surname><given-names>K.</given-names></name><name><surname>Kwong</surname><given-names>M.</given-names></name><name><surname>Liang</surname><given-names>Z.C.</given-names></name><name><surname>Niu</surname><given-names>K.C.</given-names></name><name><surname>Shan</surname><given-names>P.</given-names></name><name><surname>Yang</surname><given-names>J.Y.J.</given-names></name><name><surname>Gray</surname><given-names>K.L.</given-names></name><name><surname>Hoad</surname><given-names>G.R.</given-names></name><name><surname>Jia</surname><given-names>B.</given-names></name><name><surname>Bhando</surname><given-names>T.</given-names></name><name><surname>Carfrae</surname><given-names>L.A.</given-names></name><name><surname>Farha</surname><given-names>M.A.</given-names></name><name><surname>French</surname><given-names>S.</given-names></name><name><surname>Gordzevich</surname><given-names>R.</given-names></name><name><surname>Rachwalski</surname><given-names>K.</given-names></name><name><surname>Tu</surname><given-names>M.M.</given-names></name><name><surname>Bordeleau</surname><given-names>E.</given-names></name><name><surname>Dooley</surname><given-names>D.</given-names></name><name><surname>Griffiths</surname><given-names>E.</given-names></name><name><surname>Zubyk</surname><given-names>H.L.</given-names></name><name><surname>Brown</surname><given-names>E.D.</given-names></name><name><surname>Maguire</surname><given-names>F.</given-names></name><name><surname>Beiko</surname><given-names>R.G.</given-names></name><name><surname>Hsiao</surname><given-names>W.W.L.</given-names></name><name><surname>Brinkman</surname><given-names>F.S.L.</given-names></name><name><surname>Domselaar</surname><given-names>G.</given-names></name><name><surname>McArthur</surname><given-names>A.G.</given-names></name></person-group><year>2023</year><fpage>690</fpage><lpage>699</lpage><page-range>690-699</page-range><comment>CARD 2023: Expanded curation, support for machine learning, and resistome prediction at the</comment><pub-id pub-id-type="doi">10.1093/nar/gkac920</pub-id></element-citation></ref><ref id="BIBR-4"><element-citation publication-type="journal"><article-title>Clinical and Laboratory Standards Institute</article-title><year>2021</year><publisher-loc>CLSI, USA</publisher-loc></element-citation></ref><ref id="BIBR-5"><element-citation publication-type="journal"><article-title>PATtyFams: Protein families for the microbial genomes in the PATRIC database</article-title><source>Frontiers in Microbiology</source><volume>7, Article 118</volume><person-group person-group-type="author"><name><surname>Davis</surname><given-names>J.J.</given-names></name><name><surname>Gerdes</surname><given-names>S.</given-names></name><name><surname>Olsen</surname><given-names>G.J.</given-names></name><name><surname>Olson</surname><given-names>R.</given-names></name><name><surname>Pusch</surname><given-names>G.D.</given-names></name><name><surname>Shukla</surname><given-names>M.</given-names></name><name><surname>Vonstein</surname><given-names>V.</given-names></name><name><surname>Wattam</surname><given-names>A.R.</given-names></name><name><surname>Yoo</surname><given-names>H.</given-names></name></person-group><year>2016</year><pub-id pub-id-type="doi">10.3389/fmicb.2016.00118</pub-id></element-citation></ref><ref id="BIBR-6"><element-citation publication-type="journal"><article-title>European Food Safety Authority &amp; European Center for Disease Prevention and Control (EFSA &amp; ECDC</article-title><source>EFSA Journal</source><volume>21</volume><issue>3</issue><year>2023</year><pub-id pub-id-type="doi">10.2903/j.efsa.2023.7867</pub-id></element-citation></ref><ref id="BIBR-7"><element-citation publication-type="journal"><article-title>The gene ontology knowledge base in 2023</article-title><source>Genetics</source><volume>224</volume><issue>1</issue><person-group person-group-type="author"><name><surname>Consortium</surname><given-names>Gene Ontology</given-names></name></person-group><year>2023</year><page-range>031</page-range><pub-id pub-id-type="doi">10.1093/genetics/iyad031</pub-id></element-citation></ref><ref id="BIBR-8"><element-citation publication-type="journal"><article-title>KEGG for taxonomy-based analysis of pathways and genomes</article-title><source>Nucleic Acids Research</source><volume>51</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Kanehisa</surname><given-names>M.</given-names></name><name><surname>Furumichi</surname><given-names>M.</given-names></name><name><surname>Sato</surname><given-names>Y.</given-names></name><name><surname>Kawashima</surname><given-names>M.</given-names></name><name><surname>Ishiguro-Watanabe</surname><given-names>M.</given-names></name></person-group><year>2023</year><fpage>587</fpage><lpage>592</lpage><page-range>587-592</page-range><pub-id pub-id-type="doi">10.1093/nar/gkac963</pub-id></element-citation></ref><ref id="BIBR-9"><element-citation publication-type="journal"><article-title>Rapid detection of extended-spectrum β-lactamase-producing Escherichia coli isolated from fresh pork meat and pig cecum samples using multiplex recombinase polymerase amplification and lateral flow strip analysis</article-title><source>PLoS ONE</source><volume>16</volume><issue>3</issue><person-group person-group-type="author"><name><surname>Kanokudom</surname><given-names>S.</given-names></name><name><surname>Assawakongkarat</surname><given-names>T.</given-names></name><name><surname>Akeda</surname><given-names>Y.</given-names></name><name><surname>Ratthawongjirakul</surname><given-names>P.</given-names></name><name><surname>Chuanchuen</surname><given-names>R.</given-names></name><name><surname>Chaichanawongsaroj</surname><given-names>Ν.</given-names></name></person-group><year>2021</year><pub-id pub-id-type="doi">10.1371/journal.pone.0248536</pub-id></element-citation></ref><ref id="BIBR-10"><element-citation publication-type="journal"><article-title>Carbapenem-resistant Enterobacteriaceae in wildlife, food-producing, and companion animals: A systematic review</article-title><source>Clinical Microbiology and Infection</source><volume>24</volume><issue>12</issue><person-group person-group-type="author"><name><surname>Köck</surname><given-names>R.</given-names></name><name><surname>Daniels-Haardt</surname><given-names>I.</given-names></name><name><surname>Becker</surname><given-names>K.</given-names></name><name><surname>Mellmann</surname><given-names>A.</given-names></name><name><surname>Friedrich</surname><given-names>A.W.</given-names></name><name><surname>Mevius</surname><given-names>D.</given-names></name><name><surname>Schwarz</surname><given-names>S.</given-names></name><name><surname>Jurke</surname><given-names>A.</given-names></name></person-group><year>2018</year><fpage>1241</fpage><lpage>1250</lpage><page-range>1241-1250</page-range><pub-id pub-id-type="doi">10.1016/j.cmi.2018.04.004</pub-id></element-citation></ref><ref id="BIBR-11"><element-citation publication-type="journal"><article-title>VFDB 2022: A general classification scheme for bacterial virulence factors</article-title><source>Nucleic Acids Research</source><volume>50</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Liu</surname><given-names>B.</given-names></name><name><surname>Zheng</surname><given-names>D.</given-names></name><name><surname>Jin</surname><given-names>Q.</given-names></name><name><surname>Chen</surname><given-names>L.</given-names></name><name><surname>Yang</surname><given-names>J.</given-names></name></person-group><year>2022</year><fpage>912</fpage><lpage>917</lpage><page-range>912-917</page-range><pub-id pub-id-type="doi">10.1093/nar/gkab1107</pub-id></element-citation></ref><ref id="BIBR-12"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Olson</surname><given-names>R.D.</given-names></name><name><surname>Assaf</surname><given-names>R.</given-names></name><name><surname>Brettin</surname><given-names>T.</given-names></name><name><surname>Conrad</surname><given-names>N.</given-names></name><name><surname>Cucinell</surname><given-names>C.</given-names></name><name><surname>Davis</surname><given-names>J.J.</given-names></name><name><surname>Dempsey</surname><given-names>D.M.</given-names></name><name><surname>Dickerman</surname><given-names>A.</given-names></name><name><surname>Dietrich</surname><given-names>E.M.</given-names></name><name><surname>Kenyon</surname><given-names>R.W.</given-names></name><name><surname>Kuscuoglu</surname><given-names>M.</given-names></name><name><surname>Lefkowitz</surname><given-names>E.J.</given-names></name><name><surname>Lu</surname><given-names>J.</given-names></name><name><surname>Machi</surname><given-names>D.</given-names></name><name><surname>Macken</surname><given-names>C.</given-names></name><name><surname>Mao</surname><given-names>C.</given-names></name><name><surname>Niewiadomska</surname><given-names>A.</given-names></name><name><surname>Nguyen</surname><given-names>M.</given-names></name><name><surname>Olsen</surname><given-names>G.J.</given-names></name><name><surname>Overbeek</surname><given-names>J.C.</given-names></name><name><surname>Parrello</surname><given-names>B.</given-names></name><name><surname>Parrello</surname><given-names>V.</given-names></name><name><surname>Porter</surname><given-names>J.S.</given-names></name><name><surname>Pusch</surname><given-names>G.D.</given-names></name><name><surname>Shukla</surname><given-names>M.</given-names></name><name><surname>Singh</surname><given-names>I.</given-names></name><name><surname>Stewart</surname><given-names>L.</given-names></name><name><surname>Tan</surname><given-names>G.</given-names></name><name><surname>Thomas</surname><given-names>C.</given-names></name><name><surname>VanOeffelen</surname><given-names>M.</given-names></name><name><surname>Vonstein</surname><given-names>V.</given-names></name><name><surname>Wallace</surname><given-names>Z.S.</given-names></name><name><surname>Warren</surname><given-names>A.S.</given-names></name><name><surname>Wattam</surname><given-names>A.R.</given-names></name><name><surname>Xia</surname><given-names>F.</given-names></name><name><surname>Yoo</surname><given-names>H.</given-names></name><name><surname>Zhang</surname><given-names>Y.</given-names></name><name><surname>Zmasek</surname><given-names>C.M.</given-names></name><name><surname>Scheuermann</surname><given-names>R.H.</given-names></name><name><surname>Stevens</surname><given-names>R.L.</given-names></name></person-group><year>2023</year><comment>Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): A resource combining PATRIC, IRD and ViPR. Nucleic Acids Research, 51(D1), D678–D689.https://doi.org/10.1093/nar/gkac1003</comment></element-citation></ref><ref id="BIBR-13"><element-citation publication-type="journal"><article-title>The subsystems approach to genome annotation and its use in the project to annotate 1000 genomes</article-title><source>Nucleic Acids Research</source><volume>33</volume><issue>17</issue><person-group person-group-type="author"><name><surname>Overbeek</surname><given-names>R.</given-names></name><name><surname>Begley</surname><given-names>T.</given-names></name><name><surname>Butler</surname><given-names>R.M.</given-names></name><name><surname>Choudhuri</surname><given-names>J.V.</given-names></name><name><surname>Chuang</surname><given-names>H.-Y.</given-names></name><name><surname>Cohoon</surname><given-names>M.</given-names></name><name><surname>Crécy-Lagard</surname><given-names>V.</given-names></name><name><surname>Diaz</surname><given-names>N.</given-names></name><name><surname>Disz</surname><given-names>T.</given-names></name><name><surname>Edwards</surname><given-names>R.</given-names></name><name><surname>Fonstein</surname><given-names>M.</given-names></name><name><surname>Frank</surname><given-names>E.D.</given-names></name><name><surname>Gerdes</surname><given-names>S.</given-names></name><name><surname>Glass</surname><given-names>E.M.</given-names></name><name><surname>Goesmann</surname><given-names>A.</given-names></name><name><surname>Hanson</surname><given-names>A.</given-names></name><name><surname>Iwata-Reuyl</surname><given-names>D.</given-names></name><name><surname>Jensen</surname><given-names>R.</given-names></name><name><surname>Jamshidi</surname><given-names>N.</given-names></name><name><surname>Krause</surname><given-names>L.</given-names></name><name><surname>Kubal</surname><given-names>M.</given-names></name><name><surname>Larsen</surname><given-names>N.</given-names></name><name><surname>Linke</surname><given-names>B.</given-names></name><name><surname>McHardy</surname><given-names>A.C.</given-names></name><name><surname>Meyer</surname><given-names>F.</given-names></name><name><surname>Neuweger</surname><given-names>H.</given-names></name><name><surname>Olsen</surname><given-names>G.</given-names></name><name><surname>Olson</surname><given-names>R.</given-names></name><name><surname>Osterman</surname><given-names>A.</given-names></name><name><surname>Portnoy</surname><given-names>V.</given-names></name><name><surname>Pusch</surname><given-names>G.D.</given-names></name><name><surname>Rodionov</surname><given-names>D.A.</given-names></name><name><surname>Rückert</surname><given-names>C.</given-names></name><name><surname>Steiner</surname><given-names>J.</given-names></name><name><surname>Stevens</surname><given-names>R.</given-names></name><name><surname>Thiele</surname><given-names>I.</given-names></name><name><surname>Vassieva</surname><given-names>O.</given-names></name><name><surname>Ye</surname><given-names>Y.</given-names></name><name><surname>Zagnitko</surname><given-names>O.</given-names></name><name><surname>Vonstein</surname><given-names>V.</given-names></name></person-group><year>2005</year><fpage>5691</fpage><lpage>5702101093866</lpage><page-range>5691-5702101093866</page-range></element-citation></ref><ref id="BIBR-14"><element-citation publication-type="journal"><article-title>European Society of Clinical Microbiology and Infectious Diseases (ESCMID) guidelines for the treatment of infections caused by multidrug-resistant Gram-negative bacilli (endorsed by European society of intensive care medicine</article-title><source>Clinical Microbiology and Infection</source><volume>28</volume><issue>4</issue><person-group person-group-type="author"><name><surname>Paul</surname><given-names>M.</given-names></name><name><surname>Carrara</surname><given-names>E.</given-names></name><name><surname>Retamar</surname><given-names>P.</given-names></name><name><surname>Tängdén</surname><given-names>T.</given-names></name><name><surname>Bitterman</surname><given-names>R.</given-names></name><name><surname>Bonomo</surname><given-names>R.A.</given-names></name><name><surname>Waele</surname><given-names>J.</given-names></name><name><surname>Daikos</surname><given-names>G.L.</given-names></name><name><surname>Akova</surname><given-names>M.</given-names></name><name><surname>Harbarth</surname><given-names>S.</given-names></name><name><surname>Pulcini</surname><given-names>C.</given-names></name><name><surname>Garnacho-Montero</surname><given-names>J.</given-names></name><name><surname>Seme</surname><given-names>K.</given-names></name><name><surname>Tumbarello</surname><given-names>M.</given-names></name><name><surname>Lindemann</surname><given-names>P.C.</given-names></name><name><surname>Gandra</surname><given-names>S.</given-names></name><name><surname>Yu</surname><given-names>Y.</given-names></name><name><surname>Bassetti</surname><given-names>M.</given-names></name><name><surname>Mouton</surname><given-names>J.W.</given-names></name><name><surname>Tacconelli</surname><given-names>E.</given-names></name><name><surname>Rodríguez-Baño</surname><given-names>J.</given-names></name></person-group><year>2022</year><fpage>521</fpage><lpage>547</lpage><page-range>521-547</page-range><pub-id pub-id-type="doi">10.1016/j.cmi.2021.11.025</pub-id></element-citation></ref><ref id="BIBR-15"><element-citation publication-type="journal"><article-title>Database resources of the National Center for Biotechnology Information</article-title><source>Nucleic Acids Research</source><volume>50</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Sayers</surname><given-names>E.W.</given-names></name><name><surname>Bolton</surname><given-names>E.E.</given-names></name><name><surname>Brister</surname><given-names>J.R.</given-names></name><name><surname>Canese</surname><given-names>K.</given-names></name><name><surname>Chan</surname><given-names>J.</given-names></name><name><surname>Comeau</surname><given-names>D.C.</given-names></name><name><surname>Connor</surname><given-names>R.</given-names></name><name><surname>Funk</surname><given-names>K.</given-names></name><name><surname>Kelly</surname><given-names>C.</given-names></name><name><surname>Kim</surname><given-names>S.</given-names></name><name><surname>Madej</surname><given-names>T.</given-names></name><name><surname>Marchler-Bauer</surname><given-names>A.</given-names></name><name><surname>Lanczycki</surname><given-names>C.</given-names></name><name><surname>Lathrop</surname><given-names>S.</given-names></name><name><surname>Lu</surname><given-names>Z.</given-names></name><name><surname>Thibaud-Nissen</surname><given-names>F.</given-names></name><name><surname>Murphy</surname><given-names>T.</given-names></name><name><surname>Phan</surname><given-names>L.</given-names></name><name><surname>Skripchenko</surname><given-names>Y.</given-names></name><name><surname>Tse</surname><given-names>T.</given-names></name><name><surname>Wang</surname><given-names>J.</given-names></name><name><surname>Williams</surname><given-names>R.</given-names></name><name><surname>Trawick</surname><given-names>B.W.</given-names></name><name><surname>Pruitt</surname><given-names>K.D.</given-names></name><name><surname>Sherry</surname><given-names>S.T.</given-names></name></person-group><year>2022</year><fpage>20</fpage><lpage>26</lpage><page-range>20-26</page-range><pub-id pub-id-type="doi">10.1093/nar/gkab1112</pub-id></element-citation></ref><ref id="BIBR-16"><element-citation publication-type="journal"><article-title>Therapeutic target database 2020: Enriched resource for facilitating research and early development of targeted therapeutics</article-title><source>Nucleic Acids Research</source><volume>48</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y.</given-names></name><name><surname>Zhang</surname><given-names>S.</given-names></name><name><surname>Li</surname><given-names>F.</given-names></name><name><surname>Zhou</surname><given-names>Y.</given-names></name><name><surname>Zhang</surname><given-names>Y.</given-names></name><name><surname>Wang</surname><given-names>Z.</given-names></name><name><surname>Zhang</surname><given-names>R.</given-names></name><name><surname>Zhu</surname><given-names>J.</given-names></name><name><surname>Ren</surname><given-names>Y.</given-names></name><name><surname>Tan</surname><given-names>Y.</given-names></name><name><surname>Qin</surname><given-names>C.</given-names></name><name><surname>Li</surname><given-names>Y.</given-names></name><name><surname>Li</surname><given-names>X.</given-names></name><name><surname>Chen</surname><given-names>Y.</given-names></name><name><surname>Zhu</surname><given-names>F.</given-names></name></person-group><year>2020</year><fpage>1031</fpage><lpage>1041</lpage><page-range>1031-1041</page-range><pub-id pub-id-type="doi">10.1093/nar/gkz981</pub-id></element-citation></ref><ref id="BIBR-17"><element-citation publication-type="journal"><article-title>Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center</article-title><source>Nucleic Acids Research</source><volume>45</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Wattam</surname><given-names>A.R.</given-names></name><name><surname>Davis</surname><given-names>J.J.</given-names></name><name><surname>Assaf</surname><given-names>R.</given-names></name><name><surname>Boisvert</surname><given-names>S.</given-names></name><name><surname>Brettin</surname><given-names>T.</given-names></name><name><surname>Bun</surname><given-names>C.</given-names></name><name><surname>Conrad</surname><given-names>N.</given-names></name><name><surname>Dietrich</surname><given-names>E.M.</given-names></name><name><surname>Disz</surname><given-names>T.</given-names></name><name><surname>Gabbard</surname><given-names>J.L.</given-names></name><name><surname>Gerdes</surname><given-names>S.</given-names></name><name><surname>Henry</surname><given-names>C.S.</given-names></name><name><surname>Kenyon</surname><given-names>R.W.</given-names></name><name><surname>Machi</surname><given-names>D.</given-names></name><name><surname>Mao</surname><given-names>C.</given-names></name><name><surname>Nordberg</surname><given-names>E.K.</given-names></name><name><surname>Olsen</surname><given-names>G.J.</given-names></name><name><surname>Murphy-Olson</surname><given-names>D.E.</given-names></name><name><surname>Olson</surname><given-names>R.</given-names></name><name><surname>Overbeek</surname><given-names>R.</given-names></name><name><surname>Parrello</surname><given-names>B.</given-names></name><name><surname>Pusch</surname><given-names>G.D.</given-names></name><name><surname>Shukla</surname><given-names>M.</given-names></name><name><surname>Vonstein</surname><given-names>V.</given-names></name><name><surname>Warren</surname><given-names>A.</given-names></name><name><surname>Xia</surname><given-names>F.</given-names></name><name><surname>Yoo</surname><given-names>H.</given-names></name><name><surname>Stevens</surname><given-names>R.L.</given-names></name></person-group><year>2017</year><fpage>535</fpage><lpage>542</lpage><page-range>535-542</page-range><pub-id pub-id-type="doi">10.1093/nar/gkw1017</pub-id></element-citation></ref><ref id="BIBR-18"><element-citation publication-type="journal"><article-title>DrugBank 5.0: a major update to the DrugBank database for 2018</article-title><source>Nucleic Acids Research</source><volume>46</volume><issue>D1</issue><person-group person-group-type="author"><name><surname>Wishart</surname><given-names>D.S.</given-names></name><name><surname>Feunang</surname><given-names>Y.D.</given-names></name><name><surname>Guo</surname><given-names>A.C.</given-names></name><name><surname>Lo</surname><given-names>E.J.</given-names></name><name><surname>Marcu</surname><given-names>A.</given-names></name><name><surname>Grant</surname><given-names>J.R.</given-names></name><name><surname>Sajed</surname><given-names>T.</given-names></name><name><surname>Johnson</surname><given-names>D.</given-names></name><name><surname>Li</surname><given-names>C.</given-names></name><name><surname>Sayeeda</surname><given-names>Z.</given-names></name><name><surname>Assempour</surname><given-names>N.</given-names></name><name><surname>Iynkkaran</surname><given-names>I.</given-names></name><name><surname>Liu</surname><given-names>Y.</given-names></name><name><surname>Maciejewski</surname><given-names>A.</given-names></name><name><surname>Gale</surname><given-names>N.</given-names></name><name><surname>Wilson</surname><given-names>A.</given-names></name><name><surname>Chin</surname><given-names>L.</given-names></name><name><surname>Cummings</surname><given-names>R.</given-names></name><name><surname>Le</surname><given-names>D.</given-names></name><name><surname>Pon</surname><given-names>A.</given-names></name><name><surname>Knox</surname><given-names>C.</given-names></name><name><surname>Wilson</surname><given-names>M.</given-names></name></person-group><year>2018</year><fpage>1074</fpage><lpage>1082</lpage><page-range>1074-1082</page-range><pub-id pub-id-type="doi">10.1093/nar/gkx1037</pub-id></element-citation></ref></ref-list></back></article>