Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-10 (of 10 Records) |
Query Trace: Lauer AC[original query] |
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Global diversity and antimicrobial resistance of typhoid fever pathogens: Insights from a meta-analysis of 13,000 Salmonella Typhi genomes
Carey ME , Dyson ZA , Ingle DJ , Amir A , Aworh MK , Chattaway MA , Chew KL , Crump JA , Feasey NA , Howden BP , Keddy KH , Maes M , Parry CM , Van Puyvelde S , Webb HE , Afolayan AO , Alexander AP , Anandan S , Andrews JR , Ashton PM , Basnyat B , Bavdekar A , Bogoch II , Clemens JD , da Silva KE , De A , de Ligt J , Diaz Guevara PL , Dolecek C , Dutta S , Ehlers MM , Francois Watkins L , Garrett DO , Godbole G , Gordon MA , Greenhill AR , Griffin C , Gupta M , Hendriksen RS , Heyderman RS , Hooda Y , Hormazabal JC , Ikhimiukor OO , Iqbal J , Jacob JJ , Jenkins C , Jinka DR , John J , Kang G , Kanteh A , Kapil A , Karkey A , Kariuki S , Kingsley RA , Koshy RM , Lauer AC , Levine MM , Lingegowda RK , Luby SP , Mackenzie GA , Mashe T , Msefula C , Mutreja A , Nagaraj G , Nagaraj S , Nair S , Naseri TK , Nimarota-Brown S , Njamkepo E , Okeke IN , Perumal SPB , Pollard AJ , Pragasam AK , Qadri F , Qamar FN , Rahman SIA , Rambocus SD , Rasko DA , Ray P , Robins-Browne R , Rongsen-Chandola T , Rutanga JP , Saha SK , Saha S , Saigal K , Sajib MSI , Seidman JC , Shakya J , Shamanna V , Shastri J , Shrestha R , Sia S , Sikorski MJ , Singh A , Smith AM , Tagg KA , Tamrakar D , Tanmoy AM , Thomas M , Thomas MS , Thomsen R , Thomson NR , Tupua S , Vaidya K , Valcanis M , Veeraraghavan B , Weill FX , Wright J , Dougan G , Argimón S , Keane JA , Aanensen DM , Baker S , Holt KE . Elife 2023 12 ![]() ![]() BACKGROUND: The Global Typhoid Genomics Consortium was established to bring together the typhoid research community to aggregate and analyse Salmonella enterica serovar Typhi (Typhi) genomic data to inform public health action. This analysis, which marks 22 years since the publication of the first Typhi genome, represents the largest Typhi genome sequence collection to date (n=13,000). METHODS: This is a meta-analysis of global genotype and antimicrobial resistance (AMR) determinants extracted from previously sequenced genome data and analysed using consistent methods implemented in open analysis platforms GenoTyphi and Pathogenwatch. RESULTS: Compared with previous global snapshots, the data highlight that genotype 4.3.1 (H58) has not spread beyond Asia and Eastern/Southern Africa; in other regions, distinct genotypes dominate and have independently evolved AMR. Data gaps remain in many parts of the world, and we show the potential of travel-associated sequences to provide informal 'sentinel' surveillance for such locations. The data indicate that ciprofloxacin non-susceptibility (>1 resistance determinant) is widespread across geographies and genotypes, with high-level ciprofloxacin resistance (≥3 determinants) reaching 20% prevalence in South Asia. Extensively drug-resistant (XDR) typhoid has become dominant in Pakistan (70% in 2020) but has not yet become established elsewhere. Ceftriaxone resistance has emerged in eight non-XDR genotypes, including a ciprofloxacin-resistant lineage (4.3.1.2.1) in India. Azithromycin resistance mutations were detected at low prevalence in South Asia, including in two common ciprofloxacin-resistant genotypes. CONCLUSIONS: The consortium's aim is to encourage continued data sharing and collaboration to monitor the emergence and global spread of AMR Typhi, and to inform decision-making around the introduction of typhoid conjugate vaccines (TCVs) and other prevention and control strategies. FUNDING: No specific funding was awarded for this meta-analysis. Coordinators were supported by fellowships from the European Union (ZAD received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 845681), the Wellcome Trust (SB, Wellcome Trust Senior Fellowship), and the National Health and Medical Research Council (DJI is supported by an NHMRC Investigator Grant [GNT1195210]). | Salmonella Typhi (Typhi) is a type of bacteria that causes typhoid fever. More than 110,000 people die from this disease each year, predominantly in areas of sub-Saharan Africa and South Asia with limited access to safe water and sanitation. Clinicians use antibiotics to treat typhoid fever, but scientists worry that the spread of antimicrobial-resistant Typhi could render the drugs ineffective, leading to increased typhoid fever mortality. The World Health Organization has prequalified two vaccines that are highly effective in preventing typhoid fever and may also help limit the emergence and spread of resistant Typhi. In low resource settings, public health officials must make difficult trade-off decisions about which new vaccines to introduce into already crowded immunization schedules. Understanding the local burden of antimicrobial-resistant Typhi and how it is spreading could help inform their actions. The Global Typhoid Genomics Consortium analyzed 13,000 Typhi genomes from 110 countries to provide a global overview of genetic diversity and antimicrobial-resistant patterns. The analysis showed great genetic diversity of the different strains between countries and regions. For example, the H58 Typhi variant, which is often drug-resistant, has spread rapidly through Asia and Eastern and Southern Africa, but is less common in other regions. However, distinct strains of other drug-resistant Typhi have emerged in other parts of the world. Resistance to the antibiotic ciprofloxacin was widespread and accounted for over 85% of cases in South Africa. Around 70% of Typhi from Pakistan were extensively drug-resistant in 2020, but these hard-to-treat variants have not yet become established elsewhere. Variants that are resistant to both ciprofloxacin and ceftriaxone have been identified, and azithromycin resistance has also appeared in several different variants across South Asia. The Consortium’s analyses provide valuable insights into the global distribution and transmission patterns of drug-resistant Typhi. Limited genetic data were available fromseveral regions, but data from travel-associated cases helped fill some regional gaps. These findings may help serve as a starting point for collective sharing and analyses of genetic data to inform local public health action. Funders need to provide ongoing supportto help fill global surveillance data gaps. | eng |
The Use of Whole-Genome Sequencing by the Federal Interagency Collaboration for Genomics for Food and Feed Safety in the United States.
Stevens EL , Carleton HA , Beal J , Tillman GE , Lindsey RL , Lauer AC , Pightling A , Jarvis KG , Ottesen A , Ramachandran P , Hintz L , Katz LS , Folster JP , Whichard JM , Trees E , Timme RE , McDermott P , Wolpert B , Bazaco M , Zhao S , Lindley S , Bruce BB , Griffin PM , Brown E , Allard M , Tallent S , Irvin K , Hoffmann M , Wise M , Tauxe R , Gerner-Smidt P , Simmons M , Kissler B , Defibaugh-Chavez S , Klimke W , Agarwala R , Lindsay J , Cook K , Austerman SR , Goldman D , McGarry S , Hale KR , Dessai U , Musser SM , Braden C . J Food Prot 2022 85 (5) 755-772 ![]() ![]() This multi-agency report developed under the Interagency Collaboration for Genomics for Food and Feed Safety (Gen-FS) provides an overview of the use of and transition to Whole-Genome Sequencing (WGS) technology to detect and characterize pathogens transmitted commonly by food and identify their sources. We describe foodborne pathogen analysis, investigation, and harmonization efforts among federal agencies, including the National Institutes of Health (NIH); the Department of Health and Human Services' Centers for Disease Control and Prevention (CDC) and the Food and Drug Administration (FDA); and the U.S. Department of Agriculture's Food Safety and Inspection Service (FSIS), Agricultural Research Service (ARS), and Animal and Plant Health Inspection Service (APHIS). We describe single nucleotide polymorphism (SNP), core-genome (cg) and whole-genome multi-locus sequence typing (wgMLST) data analysis methods as used in CDC's PulseNet and FDA's GenomeTrakr networks, underscoring the complementary nature of the results for linking genetically related foodborne pathogens during outbreak investigations while allowing flexibility to meet the specific needs of Gen-FS agency partners. We highlight how we apply WGS to pathogen characterization (virulence and antimicrobial resistance profiles), source attribution efforts, and increasing transparency by making the sequences and other data publicly available through the National Center for Biotechnology Information (NCBI). Finally, we highlight the impact of current trends in the use of culture-independent diagnostics tests (CIDT) for human diagnostic testing on analytical approaches related to food safety. Lastly, we highlight what is next for WGS in food safety. |
An evaluation of the species and subspecies of the genus Salmonella with whole genome sequence data: Proposal of type strains and epithets for novel S. enterica subspecies VII, VIII, IX, X and XI.
Pearce ME , Langridge GC , Lauer AC , Grant K , Maiden MCJ , Chattaway MA . Genomics 2021 113 (5) 3152-3162 ![]() ![]() Species and subspecies within the Salmonella genus have been defined for public health purposes by biochemical properties; however, reference laboratories have increasingly adopted sequence-based, and especially whole genome sequence (WGS), methods for surveillance and routine identification. This leads to potential disparities in subspecies definitions, routine typing, and the ability to detect novel subspecies. A large-scale analysis of WGS data from the routine sequencing of clinical isolates was employed to define and characterise Salmonella subspecies population structure, demonstrating that the Salmonella species and subspecies were genetically distinct, including those previously identified through phylogenetic approaches, namely: S. enterica subspecies londinensis (VII), subspecies brasiliensis (VIII), subspecies hibernicus (IX), and subspecies essexiensis (X). The analysis also identified an additional novel subspecies, reptilium (XI). Further, these analyses indicated that S. enterica subspecies IIIa isolates were divergent from the other S. enterica subspecies, which clustered together and, on the basis of ANI analysis, subspecies IIIa was sufficiently distinct to be classified as a separate species, S. arizonae. Multiple phylogenetic and statistical approaches generated congruent results, suggesting that the proposed species and subspecies structure was sufficiently biologically robust for routine application. Biochemical analyses demonstrated that not all subspecies were distinguishable by these means and that biochemical approaches did not capture the genomic diversity of the genus. We recommend the adoption of standardised genomic definitions of species and subspecies and a genome sequence-based approach to routine typing for the identification and definition of novel subspecies. |
Salmonella Bloodstream Infections in Hospitalized Children with Acute Febrile Illness-Uganda, 2016-2019
Appiah GD , Mpimbaza A , Lamorde M , Freeman M , Kajumbula H , Salah Z , Kugeler K , Mikoleit M , White PB , Kapisi J , Borchert J , Sserwanga A , Van Dyne S , Mead P , Kim S , Lauer AC , Winstead A , Manabe YC , Flick RJ , Mintz E . Am J Trop Med Hyg 2021 105 (1) 37-46 Invasive Salmonella infection is a common cause of acute febrile illness (AFI) among children in sub-Saharan Africa; however, diagnosing Salmonella bacteremia is challenging in settings without blood culture. The Uganda AFI surveillance system includes blood culture-based surveillance for etiologies of bloodstream infection (BSIs) in hospitalized febrile children in Uganda. We analyzed demographic, clinical, blood culture, and antimicrobial resistance data from hospitalized children at six sentinel AFI sites from July 2016 to January 2019. A total of 47,261 children were hospitalized. Median age was 2 years (interquartile range, 1-4) and 26,695 (57%) were male. Of 7,203 blood cultures, 242 (3%) yielded bacterial pathogens including Salmonella (N = 67, 28%), Staphylococcus aureus (N = 40, 17%), Escherichia spp. (N = 25, 10%), Enterococcus spp. (N = 18, 7%), and Klebsiella pneumoniae (N = 17, 7%). Children with BSIs had longer median length of hospitalization (5 days versus 4 days), and a higher case-fatality ratio (13% versus 2%) than children without BSI (all P < 0.001). Children with Salmonella BSIs did not differ significantly in length of hospitalization or mortality from children with BSI resulting from other organisms. Serotype and antimicrobial susceptibility results were available for 49 Salmonella isolates, including 35 (71%) non-typhoidal serotypes and 14 Salmonella serotype Typhi (Typhi). Among Typhi isolates, 10 (71%) were multi-drug resistant and 13 (93%) had decreased ciprofloxacin susceptibility. Salmonella strains, particularly non-typhoidal serotypes and drug-resistant Typhi, were the most common cause of BSI. These data can inform regional Salmonella surveillance in East Africa and guide empiric therapy and prevention in Uganda. |
SeqSero2: rapid and improved Salmonella serotype determination using whole genome sequencing data.
Zhang S , Den-Bakker HC , Li S , Chen J , Dinsmore BA , Lane C , Lauer AC , Fields PI , Deng X . Appl Environ Microbiol 2019 85 (23) ![]() ![]() SeqSero, launched in 2015, is a software tool for Salmonella serotype determination from whole genome sequencing (WGS) data. Despite its routine use in public health and food safety laboratories in the United States and other countries, the original SeqSero pipeline is relatively slow (minutes per genome using sequencing reads), is not optimized for draft genome assemblies, and may assign multiple serotypes for a strain. Here we present SeqSero2 (github.com/denglab/SeqSero2; denglab.info/SeqSero2), an algorithmic transformation and functional update of the original SeqSero. Major improvements include: 1) additional sequence markers for identification of Salmonella species and subspecies and certain serotypes; 2) a k-mer based algorithm for rapid serotype prediction from raw reads (seconds per genome) and improved serotype prediction from assemblies; and 3) a targeted assembly approach for specific retrieval of serotype determinants from WGS for serotype prediction, new allele discovery, and prediction troubleshooting. Evaluated using 5,794 genomes representing 364 common US serotypes, including 2,280 human isolates of 117 serotypes from the National Antimicrobial Resistance Monitoring System, SeqSero2 is up to 50 times faster than the original SeqSero while maintaining equivalent accuracy for raw reads and substantially improving accuracy for assemblies. SeqSero2 further suggested that 3% of the tested genomes contained reads from multiple serotypes, indicating a use for contamination detection. In addition to short reads, SeqSero2 demonstrated potential for accurate and rapid serotype prediction directly from long nanopore reads despite base call errors. Testing of 40 nanopore-sequenced genomes of 17 serotypes yielded a single H antigen misidentification.IMPORTANCE: Serotyping is the basis of public health surveillance of Salmonella It remains a first-line subtyping method even as surveillance continues to be transformed by whole genome sequencing. SeqSero allows the integration of Salmonella serotyping into a whole genome sequencing-based laboratory workflow while maintaining continuity with the classic serotyping scheme. SeqSero2, informed by extensive testing and application of SeqSero in the United States and other countries, incorporates important improvements and updates that further strengthen its application in routine and large scale surveillance of Salmonella by whole genome sequencing. |
Notes from the Field: Environmental Investigation of a Multistate Salmonellosis Outbreak Linked to Live Backyard Poultry from a Mail-Order Hatchery - Michigan, 2018.
Hardy MC , Robertson SA , Sidge J , Signs K , Stobierski MG , Jones K , Soehnlen M , Stefanovsky L , Hambley A , Brandenburg JM , Martin H , Lauer AC , Fields P , Koski L , Stevenson LM , Pabilonia KL , Nichols MC , Basler CA , Ribot EM , Hise KB . MMWR Morb Mortal Wkly Rep 2019 67 (5152) 1430-1431 ![]() ![]() In the United States, contact with live poultry has been linked to 70 Salmonella outbreaks resulting in 4,794 clinical cases since 2000 (1). Environmental sampling to confirm the outbreak strain at poultry hatcheries that supply backyard flocks is conducted infrequently during investigations; therefore, the source of the outbreak is rarely identified. On June 12, 2018, the Michigan Department of Health and Human Services requested assistance from CDC to investigate risk factors for Salmonella infection linked to live backyard poultry originating at a mail-order hatchery in Michigan (hatchery A). This hatchery supplies young poultry (poults) to backyard flocks through direct sale to flock owners and via feed stores. At the start of the investigation, traceback had linked 24 clinical cases of Salmonella enterica serotype Enteritidis to exposure to live poultry from hatchery A. Whole genome sequencing analysis of the clinical isolates revealed that they were closely related (within 0–15 alleles) by whole genome multilocus sequence typing to environmental isolates sampled from shipping containers originating from hatchery A at retail outlets in several states. |
Enterococcus crotali sp. nov., isolated from faecal material of a timber rattlesnake
McLaughlin RW , Shewmaker PL , Whitney AM , Humrighouse BW , Lauer AC , Loparev VN , Gulvik CA , Cochran PA , Dowd SE . Int J Syst Evol Microbiol 2017 67 (6) 1984-1989 A facultatively anaerobic, Gram-stain-positive bacterium, designated ETRF1T, was found in faecal material of a timber rattlesnake (Crotalus horridus). Based on a comparative 16S rRNA gene sequence analysis, the isolate was assigned to the genus Enterococcus. The 16S rRNA gene sequence of strain ETRF1T showed >97 % similarity to that of the type strains of Enterococcus rotai, E. caccae, E. silesiacus, E haemoperoxidus, E. ureasiticus, E. moraviensis, E. plantarum, E. quebecensis, E. ureilyticus, E. termitis, E. rivorum and E. faecalis. The organism could be distinguished from these 12 phylogenetically related enterococci using conventional biochemical testing, the Rapid ID32 Strep system, comparative pheS and rpoA gene sequence analysis, and comparative whole genome sequence analysis. The estimated in silico DNA-DNA hybridization values were <70 %, and average nucleotide identity values were <96 %, when compared to these 12 species, further validating that ETRF1T represents a unique species within the genus Enterococcus. On the basis of these analyses, strain ETRF1T (=CCUG 65857T=LMG 28312T) is proposed as the type strain of a novel species, Enterococcus crotali sp. nov. |
Complete Genome Sequences of Enterococcus rotai LMG 26678T and Enterococcus silesiacus LMG 23085T.
Lauer AC , Humrighouse BW , Loparev V , Shewmaker PL , Whitney AM , McQuiston JR , McLaughlin RW . Genome Announc 2016 4 (6) ![]() The inclusion of molecular methods in the characterization of the novel species Enterococcus horridus necessitated the sequencing and assembly of the genomes of the closely related Enterococcus rotai and Enterococcus silesiacus Sequencing using Illumina technology in combination with optical mapping led to the generation of closed genomes for both isolates. |
Oblitimonas alkaliphila gen. nov., sp. nov., a novel genus in the Pseudomonadaceae family recovered from a historical collection of previously unidentified clinical strains
Drobish AM , Emery BD , Whitney AM , Lauer AC , Metcalfe MG , McQuiston JR . Int J Syst Evol Microbiol 2016 66 (8) 3063-3070 ![]() Eight Gram-negative bacteria (B4199T, C6819, C6918, D2441, D3318, E1086, E1148 and E5571) were identified during a retrospective study of unidentified strains from a historical collection held in the Special Bacteriology Reference Laboratory at the Centers for Disease Control and Prevention. The strains were isolated from eight patients: five female, two male and one not specified. No ages were indicated for the patients. The sources were urine (3), leg tissue (2), foot wound, lung tissue and deep liver. The strains originated from seven different states across the United States of America (Colorado, Connecticut (2), Indiana, North Carolina, Oregon and Pennsylvania). The strains grew at 10 to 42 degrees C, were non-motile, alkalitolerant, slightly halophilic, microaerophilic, catalase and oxidase positive. The DNA G + C content was 47.3 to 47.8 mol%. The major cellular fatty acids were tetradecanoic acid (C14:0), hexadecanoic acid (C16:0) and 11-octadecenoic acid (C18:1omega7c). Polar lipids detected were phosphatidylglycerol (PG), phosphatidylethanolamine (PE), diphosphatidylglycerol (DPG) and an unknown phospholipid; the only respiratory quinone detected was the ubiquinone Q-9 (100 %). 16S rRNA gene sequence analysis produced results with 95.6 % similarity to Pseudomonas caeni (DSM 24390T) and 95.2 % similarity to Thiopseudomonas denitrificans (X2T). The results of the biochemical, chemotaxonomic and phylogenetic analyses between the study strains and some related type strains indicate that these strains represent a novel species of a new genus within the family Pseudomonadaceae, for which the name Oblitimonas alkaliphila gen. nov., sp. nov. is proposed. The type strain is B4199T (=DSM 100830T = CCUG 67636T). |
Genome Sequences of Oblitimonas alkaliphila gen. nov. sp. nov. (Proposed), a Novel Bacterium of the Pseudomonadaceae Family.
Lauer AC , Nicholson AC , Humrighouse BW , Emery B , Drobish A , Juieng P , Loparev V , McQuiston JR . Genome Announc 2015 3 (6) ![]() Results obtained through 16S rRNA gene sequencing and phenotypic testing of eight related, but unidentified, isolates located in a historical collection at the Centers for Disease Control and Prevention suggested that these isolates belong to a novel genera of bacteria. The genomes of the bacteria, to be named Oblitimonas alkaphilia gen. nov. sp. nov., were sequenced using Illumina technology. Closed genomes were produced for all eight isolates. |
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