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Yan Z, Fu B, Zhu Y, Zhang Y, Wu Y, Xiong P, Zhou H, Wang Y, Wang S, Chen G, Zhang R, Sun C. High intestinal carriage of Clostridium perfringens in healthy individuals and ICU patients in Hangzhou, China. Microbiol Spectr 2024; 12:e0338523. [PMID: 38771047 PMCID: PMC11218483 DOI: 10.1128/spectrum.03385-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 04/09/2024] [Indexed: 05/22/2024] Open
Abstract
Clostridium perfringens has emerged as a growing public health concern due to its ability to cause various infections and its increasing resistance to antibiotics. To assess its current epidemiology in clinical settings, we conducted a survey involving 426 healthy individuals and 273 ICU inpatients at a provincial hospital in China. Our findings revealed a high prevalence of C. perfringens in healthy individuals (45.77%, 95% CI: 41.0%-50.6%) and ICU patients (12.82%, 95% CI: 9.1%-17.4%). The identified 220 C. perfringens isolates displayed substantial resistance to erythromycin (57.9%), clindamycin (50.7%), and tetracycline (32.0%), primarily attributed to the presence of erm(Q) (54.4%), lnu(P) (13.8%), tetB(P) (83.6%), and tetA(P) (66.7%). Notably, C. perfringens isolates from this particular hospital demonstrated a high degree of sequence type diversity and phylogenic variation, suggesting that the potential risk of infection primarily arises from the bacteria's gut colonization rather than clonal transmissions within the clinical environment. This study provides an updated analysis of the current epidemiology of C. perfringens in healthy individuals and ICU patients in China and emphasizes the need to optimize intervention strategies against its public health threat. IMPORTANCE Clostridium perfringens is a bacterium of growing public health concern due to its ability to cause infections and its increasing resistance to antibiotics. Understanding its epidemiology in clinical settings is essential for intervention strategies. This study surveyed healthy individuals and ICU inpatients in a provincial hospital in China. It found a high prevalence of C. perfringens, indicating infection risk. The isolates also showed significant antibiotic resistance. Importantly, the study revealed diverse sequence types and phylogenetic variation, suggesting infection risk from intestinal colonization rather than clonal transmission in hospitals. This analysis emphasizes the need to optimize intervention strategies against this public health threat.
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Affiliation(s)
- Zelin Yan
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Bo Fu
- National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yanyan Zhu
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Yanyan Zhang
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Yuchen Wu
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Panfeng Xiong
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Zhejiang Agricultural and Forestry University, Hangzhou, China
| | - Hongwei Zhou
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Yang Wang
- National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Shaolin Wang
- National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Gongxiang Chen
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Rong Zhang
- Department of Clinical Laboratory, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Chengtao Sun
- National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
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Guan P, Fan S, Dong W, Wang X, Li Z, Song M, Suo B. Comparative genomic analysis and multilocus sequence typing of Staphylococcus aureus reveals candidate genes for low-temperature tolerance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171331. [PMID: 38428609 DOI: 10.1016/j.scitotenv.2024.171331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Staphylococcus aureus is one of the most frequently detected foodborne pathogens in cold chain foods. Worryingly, small colony variants (SCVs) can survive in cold environments for a long time and can revert to rapidly growing cells in suitable environments, causing serious food safety issues. This study investigated the underlying mechanism of SCV formation at low temperature (4 °C) via comparative genomics. Multilocus sequence typing (MLST) of 105 strains of S. aureus was divided into 9 sequence types. The ST352 strains exhibited the greatest tolerance to low temperature, with a mean reduction in survival rate of 10.34 % (p < 0.05). Comparative genomics revealed a total of 1941 core genes in the three S. aureus strains, and BB-1 had 468 specific genes, which were enriched mainly in translation, DNA recombination, DNA repair, metabolic pathways, two-component systems, and quorum sensing. Molecular docking analysis revealed that the binding of the RsbW protein to the SigB protein of BB-1 decreased due to base mutations in rsbW, while the binding to the RsbV protein was enhanced. In addition, the results of real-time quantitative PCR showed that the RsbV-RsbW/SigB system of BB-1 may play a role in the low-temperature survival of S. aureus and the formation of SCVs. These results suggest that genes specific to BB-1 may contribute to the mechanism of adaptation to low temperature and the formation of SCVs. This study helps elucidate the causes of SCV formation by S. aureus at low temperature at the molecular level and provides a basis for exploring the safety control of cold chain food environments.
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Affiliation(s)
- Peng Guan
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Shijia Fan
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Wenjing Dong
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Xiaojie Wang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Zhen Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Miao Song
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Biao Suo
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China.
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Ham H, Park DS. New Insights and Approach Toward the Genetic Diversity and Strain Typing of Erwinia pyrifoliae Based on rsxC, an Electron Transport Gene. PLANT DISEASE 2024; 108:296-301. [PMID: 37669173 DOI: 10.1094/pdis-03-23-0475-sc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
Erwinia pyrifoliae, a causal agent of black shoot blight in apple and pear trees, is a plant pathogenic bacterium first reported in South Korea. The symptoms of black shoot blight are very similar to those of the fire blight disease in apple and pear trees caused by E. amylovora, as E. pyrifoliae has a genetically very close relationship with E. amylovora. Recently, there have been reports that E. pyrifoliae causes disease in European strawberries, resulting in severe fruit loss that aroused great concern about its spread, distribution, and host range. Therefore, it is essential to establish a trustworthy approach to understanding the distribution patterns of E. pyrifoliae based on the genetic background to strengthen the barrier of potential spreading risks, although advanced methods have been provided to accurately detect E. pyrifoliae and E. amylovora. Consequently, this study discovered a noble and noteworthy gene, rsxC, capable of providing the pathogen genotype by comparing E. pyrifoliae genomic sequences in the international representative genome archive. Different numbers of 40-unit amino acid repeats in this gene among the strains induced intraspecific traits in RsxC. By comparing their repeat pattern, E. pyrifoliae isolates were divided into two main groups, branching into several clades via sequence alignment of 35 E. pyrifoliae isolates from various apple orchards from 2020 to 2021 in South Korea. The newly discovered quadraginta amino acid repeat within this gene would be a valuable genetic touchstone for determining the genotype and distribution pattern of E. pyrifoliae strains, ultimately leading to exploring their evolution. The function of amino acid repeats and the biological significance of strains need to be elucidated further.
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Affiliation(s)
- Hyeonheui Ham
- Crop Protection Division, National Institute of Agricultural Sciences, Wanju-gun 55365, Republic of Korea
| | - Dong Suk Park
- Crop Protection Division, National Institute of Agricultural Sciences, Wanju-gun 55365, Republic of Korea
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Bolden N, Mell JC, Logan JB, Planet PJ. Phylogenomics of nontuberculous mycobacteria respiratory infections in people with cystic fibrosis. Paediatr Respir Rev 2023; 46:63-70. [PMID: 36828670 PMCID: PMC10659050 DOI: 10.1016/j.prrv.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023]
Abstract
Nontuberculous mycobacteria (NTM) can cause severe pulmonary disease in people with cystic fibrosis (pwCF). These infections present unique challenges for diagnosis and treatment, prompting a recent interest in understanding NTM transmission and pathogenesis during chronic infection. Major gaps remain in our knowledge regarding basic pathogenesis, immune evasion strategies, population dynamics, recombination potential, and the evolutionary implications of host and antibiotic pressures of long-term NTM infections in pwCF. Phylogenomic techniques have emerged as an important tool for tracking global patterns of transmission and are beginning to be used to ask fundamental biological questions about adaptation to the host during pathogenesis. In this review, we discuss the burden of NTM lung disease (NTM-LD), highlight the use of phylogenomics in NTM research, and address the clinical implications associated with these studies.
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Affiliation(s)
- Nicholas Bolden
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
| | - Joshua Chang Mell
- Center for Genomic Sciences, Drexel University College of Medicine, Philadelphia, PA, United States; Department of Microbiology & Immunology, Drexel University, Philadelphia, PA, United States.
| | - Jennifer Bouso Logan
- Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Pulmonary Medicine and Cystic Fibrosis Center, Lehigh Valley Reilly Children's Hospital, PA, United States.
| | - Paul J Planet
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Comparative Genomics, American Museum of Natural History, New York, NY, United States.
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5
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Neves A, Walther D, Martin-Campos T, Barbie V, Bertelli C, Blanc D, Bouchet G, Erard F, Greub G, Hirsch HH, Huber M, Kaiser L, Leib SL, Leuzinger K, Lazarevic V, Mäusezahl M, Molina J, Neher RA, Perreten V, Ramette A, Roloff T, Schrenzel J, Seth-Smith HMB, Stephan R, Terumalai D, Wegner F, Egli A. The Swiss Pathogen Surveillance Platform - towards a nation-wide One Health data exchange platform for bacterial, viral and fungal genomics and associated metadata. Microb Genom 2023; 9. [PMID: 37171846 DOI: 10.1099/mgen.0.001001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023] Open
Abstract
The Swiss Pathogen Surveillance Platform (SPSP) is a shared secure surveillance platform between human and veterinary medicine, to also include environmental and foodborne isolates. It enables rapid and detailed transmission monitoring and outbreak surveillance of pathogens using whole genome sequencing data and associated metadata. It features controlled data access, complex dynamic queries, dedicated dashboards and automated data sharing with international repositories, providing actionable results for public health and the vision to improve societal well-being and health.
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Affiliation(s)
- Aitana Neves
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Daniel Walther
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | | | - Valerie Barbie
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Claire Bertelli
- Clinical Microbiology, University Hospital Lausanne, Lausanne, Switzerland
| | - Dominique Blanc
- Hospital Epidemiology, University Hospital Lausanne, Lausanne, Switzerland
| | - Gérard Bouchet
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Frédéric Erard
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Gilbert Greub
- Clinical Microbiology, University Hospital Lausanne, Lausanne, Switzerland
| | - Hans H Hirsch
- Clinical Virology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Transplantation & Clinical Virology, University of Basel, Basel, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Laurent Kaiser
- Virology, University Hospital Geneva, Geneva, Switzerland
| | - Stephen L Leib
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Karoline Leuzinger
- Clinical Virology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Transplantation & Clinical Virology, University of Basel, Basel, Switzerland
| | | | | | - Jorge Molina
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Richard A Neher
- Biozentrum, University of Basel, Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Vincent Perreten
- Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Tim Roloff
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Jacques Schrenzel
- Genomic Research Laboratory, University of Geneva, Geneva, Switzerland
| | | | - Roger Stephan
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | | | - Fanny Wegner
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - Adrian Egli
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
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Perez-Sepulveda BM, Heavens D, Pulford CV, Predeus AV, Low R, Webster H, Dykes GF, Schudoma C, Rowe W, Lipscombe J, Watkins C, Kumwenda B, Shearer N, Costigan K, Baker KS, Feasey NA, Hinton JCD, Hall N. An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes. Genome Biol 2021; 22:349. [PMID: 34930397 PMCID: PMC8690886 DOI: 10.1186/s13059-021-02536-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 10/21/2021] [Indexed: 12/14/2022] Open
Abstract
We have developed an efficient and inexpensive pipeline for streamlining large-scale collection and genome sequencing of bacterial isolates. Evaluation of this method involved a worldwide research collaboration focused on the model organism Salmonella enterica, the 10KSG consortium. Following the optimization of a logistics pipeline that involved shipping isolates as thermolysates in ambient conditions, the project assembled a diverse collection of 10,419 isolates from low- and middle-income countries. The genomes were sequenced using the LITE pipeline for library construction, with a total reagent cost of less than USD$10 per genome. Our method can be applied to other large bacterial collections to underpin global collaborations.
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Affiliation(s)
| | | | - Caisey V. Pulford
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Alexander V. Predeus
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Ross Low
- Earlham Institute, Norwich Research Park, Norwich, UK
| | - Hermione Webster
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Gregory F. Dykes
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | | | - Will Rowe
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
- University of Birmingham, Birmingham, UK
| | | | - Chris Watkins
- Earlham Institute, Norwich Research Park, Norwich, UK
| | | | - Neil Shearer
- Earlham Institute, Norwich Research Park, Norwich, UK
| | - Karl Costigan
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Kate S. Baker
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Nicholas A. Feasey
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, UK
- Malawi-Liverpool-Wellcome Programme, Blantyre, Malawi
| | - Jay C. D. Hinton
- Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Neil Hall
- Earlham Institute, Norwich Research Park, Norwich, UK
- School of Biological Sciences, University of East Anglia, Norwich, UK
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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7
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Gaballa A, Cheng RA, Trmcic A, Kovac J, Kent DJ, Martin NH, Wiedmann M. Development of a database and standardized approach for rpoB sequence-based subtyping and identification of aerobic spore-forming Bacillales. J Microbiol Methods 2021; 191:106350. [PMID: 34710512 DOI: 10.1016/j.mimet.2021.106350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 10/20/2022]
Abstract
Aerobic spore-forming Bacillales are a highly diverse and ubiquitous group that includes organisms that cause foodborne illnesses and food spoilage. Classical microbiological and biochemical identification of members of the order Bacillales represents a challenge due to the diversity of organisms in this group as well as the fact that the phenotypic-based taxonomic assignment of some named species in this group is not consistent with their phylogenomic characteristics. DNA-sequencing-based tools, on the other hand, can be fast and cost-effective, and can provide for a more reliable identification and characterization of Bacillales isolates. In comparison to 16S rDNA, rpoB was shown to better discriminate between Bacillales isolates and to allow for improved taxonomic assignment to the species level. However, the lack of a publicly accessible rpoB database, as well as the lack of standardized protocols for rpoB-based typing and strain identification, is a major challenge. Here, we report (i) the curation of a DNA sequence database for rpoB-based subtype classification of Bacillales isolates; (ii) the development of standardized protocols for generating rpoB sequence data, and a scheme for rpoB-based initial taxonomic identification of Bacillales isolates at the species level; and (iii) the integration of the database in a publicly accessible online platform that allows for the analysis of rpoB sequence data from uncharacterized Bacillales isolates. Specifically, we curated a database of DNA sequences for a 632-nt internal variable region within the rpoB gene from representative Bacillales reference type strains and a large number of isolates that we have previously isolated and characterized through multiple projects. As of May 21, 2021, the rpoB database contained more than 8350 rpoB sequences representing 1902 distinct rpoB allelic types that can be classified into 160 different genera. The database also includes 1129 rpoB sequences for representative Bacillales reference type strains as available on May 21, 2021 in the NCBI database. The rpoB database is integrated into the online Food Microbe Tracker platform (www.foodmicrobetracker.com) and can be queried using the integrated BLAST tool to initially subtype and taxonomically identify aerobic and facultative anaerobic spore-formers. While whole-genome sequencing is increasingly used in bacterial taxonomy, the rpoB sequence-based identification scheme described here provides a valuable tool as it allows for rapid and cost-effective initial isolate characterization, which can help to identify and characterize foodborne pathogens and food spoilage bacteria. In addition, the database and primers described here can also be adopted for metagenomics approaches that include rpoB as a target, improving discriminatory power and identification over what can be achieved using 16S rDNA as a target.
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Affiliation(s)
- Ahmed Gaballa
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA.
| | - Rachel A Cheng
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Aljosa Trmcic
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Jasna Kovac
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA; Department of Food Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - David J Kent
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Nicole H Martin
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
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8
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Integrated mass spectrometry-based multi-omics for elucidating mechanisms of bacterial virulence. Biochem Soc Trans 2021; 49:1905-1926. [PMID: 34374408 DOI: 10.1042/bst20191088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/19/2021] [Accepted: 07/21/2021] [Indexed: 11/17/2022]
Abstract
Despite being considered the simplest form of life, bacteria remain enigmatic, particularly in light of pathogenesis and evolving antimicrobial resistance. After three decades of genomics, we remain some way from understanding these organisms, and a substantial proportion of genes remain functionally unknown. Methodological advances, principally mass spectrometry (MS), are paving the way for parallel analysis of the proteome, metabolome and lipidome. Each provides a global, complementary assay, in addition to genomics, and the ability to better comprehend how pathogens respond to changes in their internal (e.g. mutation) and external environments consistent with infection-like conditions. Such responses include accessing necessary nutrients for survival in a hostile environment where co-colonizing bacteria and normal flora are acclimated to the prevailing conditions. Multi-omics can be harnessed across temporal and spatial (sub-cellular) dimensions to understand adaptation at the molecular level. Gene deletion libraries, in conjunction with large-scale approaches and evolving bioinformatics integration, will greatly facilitate next-generation vaccines and antimicrobial interventions by highlighting novel targets and pathogen-specific pathways. MS is also central in phenotypic characterization of surface biomolecules such as lipid A, as well as aiding in the determination of protein interactions and complexes. There is increasing evidence that bacteria are capable of widespread post-translational modification, including phosphorylation, glycosylation and acetylation; with each contributing to virulence. This review focuses on the bacterial genotype to phenotype transition and surveys the recent literature showing how the genome can be validated at the proteome, metabolome and lipidome levels to provide an integrated view of organism response to host conditions.
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Westermann AJ, Vogel J. Cross-species RNA-seq for deciphering host-microbe interactions. Nat Rev Genet 2021; 22:361-378. [PMID: 33597744 DOI: 10.1038/s41576-021-00326-y] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2021] [Indexed: 02/08/2023]
Abstract
The human body is constantly exposed to microorganisms, which entails manifold interactions between human cells and diverse commensal or pathogenic bacteria. The cellular states of the interacting cells are decisive for the outcome of these encounters such as whether bacterial virulence programmes and host defence or tolerance mechanisms are induced. This Review summarizes how next-generation RNA sequencing (RNA-seq) has become a primary technology to study host-microbe interactions with high resolution, improving our understanding of the physiological consequences and the mechanisms at play. We illustrate how the discriminatory power and sensitivity of RNA-seq helps to dissect increasingly complex cellular interactions in time and space down to the single-cell level. We also outline how future transcriptomics may answer currently open questions in host-microbe interactions and inform treatment schemes for microbial disorders.
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Affiliation(s)
- Alexander J Westermann
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany. .,Institute for Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany.
| | - Jörg Vogel
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany. .,Institute for Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany.
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10
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Mahmoud NM, Mahmoud MH, Alamery S, Fouad H. Structural modeling and phylogenetic analysis for infectious disease transmission pattern based on maximum likelihood tree approach. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2021; 12:3479-3492. [PMID: 33425052 PMCID: PMC7778505 DOI: 10.1007/s12652-020-02702-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 11/16/2020] [Indexed: 06/12/2023]
Abstract
The contagious disease transmission pattern outbreak caused a massive human casualty and became a pandemic, as confirmed by the World Health Organization (WHO). The present research aims to understand the infectious disease transmission pattern outbreak due to molecular epidemiology. Hence, infected patients over time can spread infectious disease. The virus may develop further mutations, and that there might be a more toxic virulent strain, which leads to several environmental risk factors. Therefore, it is essential to monitor and characterize patient profiles, variants, symptoms, geographic locations, and treatment responses to analyze and evaluate infectious disease patterns among humans. This research proposes the Evolutionary tree analysis (ETA) for the molecular evolutionary genetic analysis to reduce medical risk factors. Furthermore, The Maximum likelihood tree method (MLTM) has been used to analyze the selective pressure, which is examined to identify a mutation that may influence the infectious disease transmission pattern's clinical progress. This study also utilizes ETA with Markov Chain Bayesian Statistics (MCBS) approach to reconstruct transmission trees with sequence information. The experimental shows that the proposed ETA-MCBS method achieves a 97.55% accuracy, prediction of 99.56%, and 98.55% performance compared to other existing methods.
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Affiliation(s)
- Nourelhoda M. Mahmoud
- Biomedical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt
| | - Mohamed H. Mahmoud
- Department of Biochemistry, College of Science, King Saud University, PO Box 22452, Riyadh, 11451 Saudi Arabia
| | - Salman Alamery
- Department of Biochemistry, College of Science, King Saud University, PO Box 22452, Riyadh, 11451 Saudi Arabia
| | - Hassan Fouad
- Biomedical Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt
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