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      A novel MLST sequence type discovered in the first fatal case of Laribacter hongkongensis bacteremia clusters with the sequence types of other human isolates

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          Abstract

          Laribacter hongkongensis is a gram-negative, facultative anaerobic, motile, S-shaped, asaccharolytic, urease-positive bacillus in the Neisseriaceae family of β-proteobacteria. To date, all patients with L. hongkongensis infection have survived, including the two patients with L. hongkongensis bacteremia and patients with L. hongkongensis gastroenteritis. In this study, we describe the clinical, microbiological and molecular characterization of the first fatal case associated with L. hongkongensis bacteremia in a patient with colonic carcinoma that metastasized to the liver. The identity of the isolate was confirmed via phenotypic tests and 16S rRNA gene sequencing. Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI–TOF MS), using the Bruker database extended with L. hongkongensis reference strains, also identified the isolate as L. hongkongensis , with a top match score of 2.473. Multilocus sequence typing revealed a new sequence type (ST), and phylogenetic analysis and eBURST demonstrated unambiguously that the ST of the isolate was clustered with two other STs found exclusively in human patients, consistent with the theory that some clones of L. hongkongensis could be more virulent than others. Underlying liver diseases and ascites potentially represent distinct risk factors for invasive L. hongkongensis infection. More widespread use of MALDI–TOF MS for identification and improvements of selective media should facilitate the identification of more cases of L. hongkongensis infection.

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          Most cited references21

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          eBURST: inferring patterns of evolutionary descent among clusters of related bacterial genotypes from multilocus sequence typing data.

          The introduction of multilocus sequence typing (MLST) for the precise characterization of isolates of bacterial pathogens has had a marked impact on both routine epidemiological surveillance and microbial population biology. In both fields, a key prerequisite for exploiting this resource is the ability to discern the relatedness and patterns of evolutionary descent among isolates with similar genotypes. Traditional clustering techniques, such as dendrograms, provide a very poor representation of recent evolutionary events, as they attempt to reconstruct relationships in the absence of a realistic model of the way in which bacterial clones emerge and diversify to form clonal complexes. An increasingly popular approach, called BURST, has been used as an alternative, but present implementations are unable to cope with very large data sets and offer crude graphical outputs. Here we present a new implementation of this algorithm, eBURST, which divides an MLST data set of any size into groups of related isolates and clonal complexes, predicts the founding (ancestral) genotype of each clonal complex, and computes the bootstrap support for the assignment. The most parsimonious patterns of descent of all isolates in each clonal complex from the predicted founder(s) are then displayed. The advantages of eBURST for exploring patterns of evolutionary descent are demonstrated with a number of examples, including the simple Spain(23F)-1 clonal complex of Streptococcus pneumoniae, "population snapshots" of the entire S. pneumoniae and Staphylococcus aureus MLST databases, and the more complicated clonal complexes observed for Campylobacter jejuni and Neisseria meningitidis.
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            Sequence type analysis and recombinational tests (START).

            The 32-bit Windows application START is implemented using Visual Basic and C(++) and performs analyses to aid in the investigation of bacterial population structure using multilocus sequence data. These analyses include data summary, lineage assignment, and tests for recombination and selection. START is available at http://outbreak.ceid.ox.ac.uk/software.htm. keith.jolley@ceid.ox.ac.uk
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              Association of Laribacter hongkongensis in community-acquired gastroenteritis with travel and eating fish: a multicentre case-control study.

              Laribacter hongkongensis has been recovered from several patients with gastroenteritis. However, the causative role of this organism in human gastroenteritis is still unproven, and sources of the bacterium are unknown. We undertook a multicentre case-control study to investigate the association of L hongkongensis with gastroenteritis. Faecal samples from patients with community-acquired gastroenteritis and controls were cultured for L hongkongensis. Targeted food surveillance was done to identify potential sources of this bacterium. All isolates of this organism from patients and food items were characterised by pulsed-field gel electrophoresis and ribotyping. During a 4-month period, L hongkongensis was recovered from 17 of 3788 patients with community-acquired gastroenteritis, but was absent in 1894 controls (p=0.001). Those who were culture-positive for this bacterium had a recent history of travel (ten [59%] patients vs two [6%] of 34 matched controls, p<0.0001), of fish consumption (16 [94%] vs 19 [56%], p=0.009), and of eating minced freshwater fish meat (five [29%] vs one [3%], p=0.012). We recovered 25 L hongkongensis isolates from intestinal samples of freshwater fish and two from minced freshwater fish meat. Bacteria with the same pulsed-field gel electrophoretic pattern and ribotype were recovered from one patient and a sample of minced freshwater fish meat, which was from the same retail market recently visited by the patient. We did not see this particular combination of electrophoretic pattern and ribotype in any other isolates. L hongkongensis is associated with community-acquired gastroenteritis and traveller's diarrhoea. However, its causative role has not been shown. Freshwater fish is one source of this bacterium.
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                Author and article information

                Journal
                Emerg Microbes Infect
                Emerg Microbes Infect
                Emerging Microbes & Infections
                Nature Publishing Group
                2222-1751
                June 2014
                04 June 2014
                1 June 2014
                : 3
                : 6
                : e41
                Affiliations
                [1 ]Department of Microbiology, Kwong Wah Hospital , Hong Kong, China
                [2 ]Department of Microbiology, The University of Hong Kong , Hong Kong, China
                [3 ]Department of Pathology, Hong Kong Sanatorium and Hospital , Hong Kong, China
                [4 ]Research Centre of Infection and Immunology, The University of Hong Kong , Hong Kong, China
                [5 ]State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong , Hong Kong, China
                [6 ]Carol Yu Centre for Infection, The University of Hong Kong , Hong Kong, China
                Author notes
                Article
                emi201439
                10.1038/emi.2014.39
                4078790
                0999811e-97ad-4bc1-b838-c737fbd425a9
                Copyright © 2014 Shanghai Shangyixun Cultural Communication Co., Ltd

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 13 March 2014
                : 13 April 2014
                : 15 April 2014
                Categories
                Original Article

                bacteraemia,infections
                bacteraemia, infections

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