Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019
IntroductionShewanella is an important opportunistic pathogen distributed in marine environments that has caused an increasing number of clinical infections. However, there are few reports on the distribution and characteristics of Shewanella in the diarrheal pathogen spectrum. In this study, we hav...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-01-01
|
Series: | Frontiers in Microbiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1293577/full |
_version_ | 1797337714512625664 |
---|---|
author | Ying Kang Ying Kang Keyi Yu Zhenzhou Huang Bo Pang Bo Pang Shengtian Liu Tao Peng Ying Li Ying Li Duochun Wang |
author_facet | Ying Kang Ying Kang Keyi Yu Zhenzhou Huang Bo Pang Bo Pang Shengtian Liu Tao Peng Ying Li Ying Li Duochun Wang |
author_sort | Ying Kang |
collection | DOAJ |
description | IntroductionShewanella is an important opportunistic pathogen distributed in marine environments that has caused an increasing number of clinical infections. However, there are few reports on the distribution and characteristics of Shewanella in the diarrheal pathogen spectrum. In this study, we have systematically described the prevalence of Shewanella infections in diarrhea patients in Beijing, China 2017–2019, and genome characteristics and antimicrobial susceptibility of Shewanella isolates.MethodsStool samples were collected from diarrhea patients in a surveillance project from 2017 to 2019. Shewanella strains were isolated, and identified using VITEKR 2 COMPACT and MALDI-TOF MS. Average nucleotide identity (ANI) analysis, multi-locus sequence typing (MLST), phylogenetic analysis, virulence-associated genes and antimicrobial resistance genes analysis were used for genome characteristics description. The antibiotic susceptibility test was performed with microbroth dilution method.Results1104 fecal samples were collected, and the Shewanella detection rate was 2.36% (26/1104). The main manifestations of infection caused by Shewanella spp. were diarrhea (100%, 26/26), abdominal pain (65.38%, 17/26), and vomiting (38.46%, 10/26). The 26 isolates were classified into 3 species (S. algae (n = 18), S. indica (n = 5), and S. chilikensis (n = 3)) and 22 sequence types. Core genome single nucleotide polymorphism-based evolutionary tree identified three clone groups corresponding to three infection events in the same months in 2017 and 2019. The putative virulence-associated gene pool consisted of 56 potential virulence genes, including 19 virulence gene factors. The resistance rates of the 26 isolates to 17 antibiotics from high to low were as follows: polymyxin E (76.92%), cefotaxime (57.69%), ampicillin (50%), ampicillin-sulbactam (34.62%), nalidixic acid (15.38%), ciprofloxacin (11.54%), selectrin (3.846%,1/26), and tetracycline (3.846%, 1/26). The rate of multidrug resistance was 38.46% (10/26).DiscussionMonitoring for Shewanella spp. should be added to the routine surveillance of infectious diarrhea during the epidemic season. |
first_indexed | 2024-03-08T09:16:37Z |
format | Article |
id | doaj.art-e0335cc7f226469b99acf6ec9876d064 |
institution | Directory Open Access Journal |
issn | 1664-302X |
language | English |
last_indexed | 2024-03-08T09:16:37Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Microbiology |
spelling | doaj.art-e0335cc7f226469b99acf6ec9876d0642024-01-31T14:29:31ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2024-01-011510.3389/fmicb.2024.12935771293577Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019Ying Kang0Ying Kang1Keyi Yu2Zhenzhou Huang3Bo Pang4Bo Pang5Shengtian Liu6Tao Peng7Ying Li8Ying Li9Duochun Wang10Shunyi District Center for Disease Control and Prevention, Beijing, ChinaWorkstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, ChinaHangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, ChinaWorkstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, ChinaShunyi District Center for Disease Control and Prevention, Beijing, ChinaShunyi District Center for Disease Control and Prevention, Beijing, ChinaShunyi District Center for Disease Control and Prevention, Beijing, ChinaWorkstation for Microbial Infectious Disease, Shunyi District Center for Disease Control and Prevention, Beijing, ChinaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, ChinaIntroductionShewanella is an important opportunistic pathogen distributed in marine environments that has caused an increasing number of clinical infections. However, there are few reports on the distribution and characteristics of Shewanella in the diarrheal pathogen spectrum. In this study, we have systematically described the prevalence of Shewanella infections in diarrhea patients in Beijing, China 2017–2019, and genome characteristics and antimicrobial susceptibility of Shewanella isolates.MethodsStool samples were collected from diarrhea patients in a surveillance project from 2017 to 2019. Shewanella strains were isolated, and identified using VITEKR 2 COMPACT and MALDI-TOF MS. Average nucleotide identity (ANI) analysis, multi-locus sequence typing (MLST), phylogenetic analysis, virulence-associated genes and antimicrobial resistance genes analysis were used for genome characteristics description. The antibiotic susceptibility test was performed with microbroth dilution method.Results1104 fecal samples were collected, and the Shewanella detection rate was 2.36% (26/1104). The main manifestations of infection caused by Shewanella spp. were diarrhea (100%, 26/26), abdominal pain (65.38%, 17/26), and vomiting (38.46%, 10/26). The 26 isolates were classified into 3 species (S. algae (n = 18), S. indica (n = 5), and S. chilikensis (n = 3)) and 22 sequence types. Core genome single nucleotide polymorphism-based evolutionary tree identified three clone groups corresponding to three infection events in the same months in 2017 and 2019. The putative virulence-associated gene pool consisted of 56 potential virulence genes, including 19 virulence gene factors. The resistance rates of the 26 isolates to 17 antibiotics from high to low were as follows: polymyxin E (76.92%), cefotaxime (57.69%), ampicillin (50%), ampicillin-sulbactam (34.62%), nalidixic acid (15.38%), ciprofloxacin (11.54%), selectrin (3.846%,1/26), and tetracycline (3.846%, 1/26). The rate of multidrug resistance was 38.46% (10/26).DiscussionMonitoring for Shewanella spp. should be added to the routine surveillance of infectious diarrhea during the epidemic season.https://www.frontiersin.org/articles/10.3389/fmicb.2024.1293577/fullShewanellaprevalencemolecular characteristicsdiarrheaantibiotic susceptibility |
spellingShingle | Ying Kang Ying Kang Keyi Yu Zhenzhou Huang Bo Pang Bo Pang Shengtian Liu Tao Peng Ying Li Ying Li Duochun Wang Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 Frontiers in Microbiology Shewanella prevalence molecular characteristics diarrhea antibiotic susceptibility |
title | Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 |
title_full | Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 |
title_fullStr | Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 |
title_full_unstemmed | Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 |
title_short | Prevalence and molecular characteristics of Shewanella infection in diarrhea patients in Beijing, China 2017–2019 |
title_sort | prevalence and molecular characteristics of shewanella infection in diarrhea patients in beijing china 2017 2019 |
topic | Shewanella prevalence molecular characteristics diarrhea antibiotic susceptibility |
url | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1293577/full |
work_keys_str_mv | AT yingkang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT yingkang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT keyiyu prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT zhenzhouhuang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT bopang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT bopang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT shengtianliu prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT taopeng prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT yingli prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT yingli prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 AT duochunwang prevalenceandmolecularcharacteristicsofshewanellainfectionindiarrheapatientsinbeijingchina20172019 |