Diversity of Salmonella enterica isolates from urban river and sewage water in Blantyre, Malawi.

IF 3.4 2区 医学 Q1 PARASITOLOGY
PLoS Neglected Tropical Diseases Pub Date : 2025-09-09 eCollection Date: 2025-09-01 DOI:10.1371/journal.pntd.0012413
Jonathan Rigby, Catherine N Wilson, Allan Zuza, Yohane Diness, Charity Mkwanda, Katalina Tonthola, Oscar Kanjerwa, Chifundo Salifu, Oliver Pearse, Chisomo Msefula, Blanca M Perez-Sepulveda, Jay C D Hinton, Satheesh Nair, Nicola Elviss, Mathew A Beale, Patrick Musicha, Nicholas A Feasey
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引用次数: 0

Abstract

Background: Salmonella enterica encompasses over 2,600 serovars, including several commonly associated with severe infection in humans. Salmonella is a major cause of sepsis in Africa; however, diagnosis requires clinical microbiology facilities. Environmental surveillance has the potential to play a role in Salmonella surveillance.

Methods: We undertook water-based environmental surveillance in Blantyre, Malawi, from 2018-2020, taking samples from rivers (87.9%), a sewage plant (8.85%) and other water sources (3.24%), isolating and storing 1,042 non-typhoidal Salmonella (NTS) isolates in this period. Of these, 341 NTS isolates were whole genome sequenced, genome quality was checked, duplicate genomes from any given sample were removed and core genome phylogeny was reconstructed. AMRFinder, PathogenWatch and SISTR were used to further investigate serovar, sequence type and antimicrobial resistance determinants.

Results: After quality checks, and removal of duplicate genomes, 270 NTS genomes remained for further analysis. Multiple Salmonella serovars associated with human infection were detected, of which S. Typhimurium (55/270 isolates) was the most common, including 44 of Sequence Type (ST) 313, a serovar commonly associated with severe invasive disease (iNTS). Six lineage 2 ST313 genomes possessed AMR genes predicting multidrug resistance (MDR), while 29 lineage 3 isolates contained no AMR predictive genes. PCR based detection of staG has been proposed as a diagnostic marker of S. Typhi; however, all eight genomes that contained staG identified as Salmonella enterica serovar Orion, raising concerns about the specificity of this marker as a monoplex for environmental surveillance of S. Typhi.

Discussion: The study identified diverse Salmonella serovars in the environment, including those reported to cause invasive disease, emphasizing the complex but potentially valuable contribution of implementing environmental surveillance for Salmonella in high burden areas lacking diagnostic microbiology capacity.

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马拉维布兰太尔城市河流和污水中肠炎沙门氏菌分离株的多样性。
背景:肠炎沙门氏菌包括2600多种血清型,包括几种通常与人类严重感染相关的血清型。沙门氏菌是非洲败血症的主要原因;然而,诊断需要临床微生物设施。环境监测有可能在沙门氏菌监测中发挥作用。方法:2019-2020年,我们在马拉维布兰太尔市开展水基环境监测,从河流(87.9%)、污水处理厂(8.85%)和其他水源(3.24%)采集样本,分离并储存1042株非伤寒沙门氏菌(NTS)。对其中341株NTS分离株进行全基因组测序,检查基因组质量,去除重复基因组,重建核心基因组系统发育。采用AMRFinder、PathogenWatch和SISTR进一步调查血清型、序列型和耐药决定因素。结果:经过质量检查和去除重复基因组后,270个NTS基因组留作进一步分析。检测到与人感染相关的多种沙门氏菌血清型,其中鼠伤寒沙门氏菌(55/270株)最为常见,包括44株序列型(ST) 313,这是一种通常与严重侵袭性疾病(iNTS)相关的血清型。6个谱系2 ST313基因组含有预测多药耐药(MDR)的AMR基因,而29个谱系3分离株不含预测AMR基因。PCR检测staG已被提出作为伤寒沙门氏菌的诊断标志物;然而,所有包含牡鹿的8个基因组都被鉴定为肠沙门氏菌血清型猎户型,这引起了人们对该标记物作为伤寒沙门氏菌环境监测单组分的特异性的关注。讨论:该研究确定了环境中的多种沙门氏菌血清型,包括那些据报道引起侵袭性疾病的血清型,强调了在缺乏诊断微生物学能力的高负担地区实施沙门氏菌环境监测的复杂但潜在的有价值的贡献。
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来源期刊
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases PARASITOLOGY-TROPICAL MEDICINE
自引率
10.50%
发文量
723
期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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