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Review
Overview of bioinformatic methods for analysis of antibiotic resistome from genome and metagenome data
Kihyun Lee , Dae-Wi Kim , Chang-Jun Cha
J. Microbiol. 2021;59(3):270-280.   Published online February 23, 2021
DOI: https://doi.org/10.1007/s12275-021-0652-4
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  • 18 Web of Science
  • 18 Crossref
AbstractAbstract
Whole genome and metagenome sequencing are powerful approaches that enable comprehensive cataloging and profiling of antibiotic resistance genes at scales ranging from a single clinical isolate to ecosystems. Recent studies deal with genomic and metagenomic data sets at larger scales; therefore, designing computational workflows that provide high efficiency and accuracy is becoming more important. In this review, we summarize the computational workflows used in the research field of antibiotic resistome based on genome or metagenome sequencing. We introduce workflows, software tools, and data resources that have been successfully employed in this rapidly developing field. The workflow described in this review can be used to list the known antibiotic resistance genes from genomes and metagenomes, quantitatively profile them, and investigate the epidemiological and evolutionary contexts behind their emergence and transmission. We also discuss how novel antibiotic resistance genes can be discovered and how the association between the resistome and mobilome can be explored.

Citations

Citations to this article as recorded by  
  • Unraveling resistance mechanisms in combination therapy: A comprehensive review of recent advances and future directions
    Nami Morales-Durán, Angel León-Buitimea, José R. Morones-Ramírez
    Heliyon.2024; 10(6): e27984.     CrossRef
  • Resistome Mapping in Foodborne Pathogens: Understanding Role in the Transmission Dynamics of Resistance Genes
    Muneer Oladipupo Yaqub, Chinedu Eucharia Joseph, Aashika Jain, Lekshmi K. Edison
    Applied Microbiology.2024; 4(4): 1476.     CrossRef
  • Metagenomic assemblies tend to break around antibiotic resistance genes
    Anna Abramova, Antti Karkman, Johan Bengtsson-Palme
    BMC Genomics.2024;[Epub]     CrossRef
  • Comprehensive genomic landscape of antibiotic resistance in Staphylococcus epidermidis
    Do-Hoon Lee, Kihyun Lee, Yong-Seok Kim, Chang-Jun Cha, Jack A. Gilbert
    mSystems.2024;[Epub]     CrossRef
  • Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
    Sweta Padma Routray, Swayamprabha Sahoo, Debasish Swapnesh Kumar Nayak, Sejal Shah, Tripti Swarnkar
    SN Computer Science.2024;[Epub]     CrossRef
  • Genome-centric analyses of 165 metagenomes show that mobile genetic elements are crucial for the transmission of antimicrobial resistance genes to pathogens in activated sludge and wastewater
    Nafi’u Abdulkadir, Joao Pedro Saraiva, Junya Zhang, Stefan Stolte, Osnat Gillor, Hauke Harms, Ulisses Rocha, Adriana E. Rosato
    Microbiology Spectrum.2024;[Epub]     CrossRef
  • Identification of Antibiotic Resistance in ESKAPE Pathogens through Plasmonic Nanosensors and Machine Learning
    Ting Yu, Ying Fu, Jintao He, Jun Zhang, Yunlei Xianyu
    ACS Nano.2023; 17(5): 4551.     CrossRef
  • The challenges of defining the human nasopharyngeal resistome
    Lucy O’Connor, Robert Heyderman
    Trends in Microbiology.2023; 31(8): 816.     CrossRef
  • Resistome profiling reveals transmission dynamics of antimicrobial resistance genes from poultry litter to soil and plant
    Animesh Tripathi, Dinesh Kumar, Priyank Chavda, Dalip Singh Rathore, Ramesh Pandit, Damer Blake, Fiona Tomley, Madhvi Joshi, Chaitanya G. Joshi, Suresh Kumar Dubey
    Environmental Pollution.2023; 327: 121517.     CrossRef
  • Prioritization of Critical Factors for Surveillance of the Dissemination of Antibiotic Resistance in Pseudomonas aeruginosa: A Systematic Review
    Jung Hun Lee, Nam-Hoon Kim, Kyung-Min Jang, Hyeonku Jin, Kyoungmin Shin, Byeong Chul Jeong, Dae-Wi Kim, Sang Hee Lee
    International Journal of Molecular Sciences.2023; 24(20): 15209.     CrossRef
  • Flavobacterium psychrotrophum sp. nov. and Flavobacterium panacagri sp. nov., Isolated from Freshwater and Soil
    Yong-Seok Kim, Eun-Mi Hwang, Chang-Myeong Jeong, Chang-Jun Cha
    Journal of Microbiology.2023; 61(10): 891.     CrossRef
  • Antimicrobial Resistance Genes (ARGs), the Gut Microbiome, and Infant Nutrition
    Rufus J. Theophilus, Diana Hazard Taft
    Nutrients.2023; 15(14): 3177.     CrossRef
  • Metagenomic Insight into Sulfonamide-Induced Variation in Antibiotic Resistome of Soil Associated with Taxonomy, Mobile Genetic Elements (MGEs), and Function
    Mi Li, Xiaoyu Xiao, Zhangsong Jiang, Haihui Tang, Lingling Rong, Tiao Zhang, Taijia Li, Cui Hu, Ligui Wu, Xiaoming Zou
    ACS Agricultural Science & Technology.2022; 2(1): 123.     CrossRef
  • Gold nanoparticle-DNA aptamer-assisted delivery of antimicrobial peptide effectively inhibits Acinetobacter baumannii infection in mice
    Jaeyeong Park, Eunkyoung Shin, Ji-Hyun Yeom, Younkyung Choi, Minju Joo, Minho Lee, Je Hyeong Kim, Jeehyeon Bae, Kangseok Lee
    Journal of Microbiology.2022; 60(1): 128.     CrossRef
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    Yong Chiang Tan, Chandrajit Lahiri
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Recent Advances in Rapid Antimicrobial Susceptibility Testing
    Rucha Datar, Sylvain Orenga, Romain Pogorelcnik, Olivier Rochas, Patricia J Simner, Alex van Belkum
    Clinical Chemistry.2021; 68(1): 91.     CrossRef
  • Chromosomal integration of Tn5253 occurs downstream of a conserved 11-bp sequence of the rbgA gene in Streptococcus pneumoniae and in all the other known hosts of this integrative conjugative element (ICE)
    Francesco Santoro, Valeria Fox, Alessandra Romeo, Elisa Lazzeri, Gianni Pozzi, Francesco Iannelli
    Mobile DNA.2021;[Epub]     CrossRef
  • Omics-based microbiome analysis in microbial ecology: from sequences to information
    Jang-Cheon Cho
    Journal of Microbiology.2021; 59(3): 229.     CrossRef
Research Support, Non-U.S. Gov't
Role of the extracytoplasmic function sigma factor CarQ in oxidative response of Bradyrhizobium japonicum
Anchana Thaweethawakorn , Dylan Parks , Jae-Seong So , Woo-Suk Chang
J. Microbiol. 2015;53(8):526-534.   Published online July 31, 2015
DOI: https://doi.org/10.1007/s12275-015-5308-9
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  • 3 Crossref
AbstractAbstract
As a nitrogen-fixing bacterium, Bradyrhizobium japonicum can establish a symbiotic relationship with the soybean plant (Glycine max). To be a successful symbiont, B. japonicum must deal with plant defense responses, such as an oxidative burst. Our previous functional genomics study showed that carQ (bll1028) encoding extracytoplasmic function (ECF) sigma factor was highly expressed (107.8-fold induction) under oxidative stress. Little is known about the underlying mechanisms of how CarQ responds to oxidative stress. In this study, a carQ knock-out mutant was constructed using site-specific mutagenesis to identify the role of carQ in the oxidative response of B. japonicum. The carQ mutant showed a longer generation time than the wild type and exhibited significantly decreased survival at 10 mM H2O2 for 10 min of exposure. Surprisingly, there was no significant difference in expression of oxidative stress-responsive genes such as katG and sod between the wild type and carQ mutant. The mutant also showed a significant increase in susceptibility to H2O2 compared to the wild type in the zone inhibition assay. Nodulation phenotypes of the carQ mutant were distinguishable compared to those of the wild type, including lower numbers of nodules, decreased nodule dry weight, decreased plant dry weight, and a lower nitrogen fixation capability. Moreover, desiccation of mutant cells also resulted in significantly lower percent of survival in both early (after 4 h) and late (after 24 h) desiccation periods. Taken together, this information will provide an insight into the role of the ECF sigma factor in B. japonicum to deal with a plant-derived oxidative burst.

Citations

Citations to this article as recorded by  
  • Implication of the σ E Regulon Members OmpO and σ N in the Δ ompA 299–356 -Mediated Decrease of Oxidative Stress Tolerance in St
    Ren-Hsuan Ku, Li-Hua Li, Yi-Fu Liu, En-Wei Hu, Yi-Tsung Lin, Hsu-Feng Lu, Tsuey-Ching Yang, Silvia T. Cardona
    Microbiology Spectrum.2023;[Epub]     CrossRef
  • Identification and Validation of Reference Genes for Expression Analysis in Nitrogen-Fixing Bacteria under Environmental Stress
    Dylan Parks, Christian Peterson, Woo-Suk Chang
    Life.2022; 12(9): 1379.     CrossRef
  • MostSinorhizobium melilotiExtracytoplasmic Function Sigma Factors Control Accessory Functions
    Claus Lang, Melanie J. Barnett, Robert F. Fisher, Lucinda S. Smith, Michelle E. Diodati, Sharon R. Long, Craig D. Ellermeier, Claude Bruand, Sarah Ades, Hans-Martin Fischer
    mSphere.2018;[Epub]     CrossRef

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