uncommon sequence types are associated with zoonotic disease.

Similar documents
Received 8 February 2011/Returned for modification 18 March 2011/Accepted 30 March 2011

Proceedings of the World Small Animal Veterinary Association Sydney, Australia 2007

Drd. OBADĂ MIHAI DORU. PhD THESIS ABSTRACT

PCR detection of Leptospira in. stray cat and

ACCEPTED. Edward B. Breitschwerdt, DVM,* Ricardo G. Maggi, MS, PhD,* Betsy Sigmon, DVM,*

MICROBIOLOGICAL AND EPIDEMIOLOGICAL INVESTIGATIONS AT THE VLA

ADVANCED DIAGNOSTIC METHODS AS TOOLS TO INVESTIGATE THE EXPOSURE TO BARTONELLA INFECTIONS IN CATS

RICKETTSIA SPECIES AMONG TICKS IN AN AREA OF JAPAN ENDEMIC FOR JAPANESE SPOTTED FEVER

Decrease of vancomycin resistance in Enterococcus faecium from bloodstream infections in

Absence of LA-MRSA CC398 as nasal colonizer of pigs raised

Presence of extended spectrum β-lactamase producing Escherichia coli in

FELINE CORONAVIRUS (FCoV) [FIP] ANTIBODY TEST KIT

Acinetobacter Outbreaks: Experience from a Neurosurgery Critical Care Unit. Jumoke Sule Consultant Microbiologist 19 May 2010

Comparative Clinical Evaluation of the T2Bacteria Panel versus Blood Culture for the Diagnosis of Bacteremia

EUROPEAN REFERENCE LABORATORY (EU-RL) FOR BOVINE TUBERCULOSIS WORK-PROGRAMME PROPOSAL Version 2 VISAVET. Universidad Complutense de Madrid

Molecular Characterization of Mycoplasma agalactiae. Reveals the Presence of an Endemic Clone in Spain

Inactivation of Burkholderia mallei in equine serum for laboratory use.

MRSA surveillance 2014: Poultry

11-ID-10. Committee: Infectious Disease. Title: Creation of a National Campylobacteriosis Case Definition

Testing for antimicrobial activity against multi-resistant Acinetobacter baumannii. For. Forbo Flooring B.V. Final Report. Work Carried Out By

WILDLIFE HEALTH AUSTRALIA SUBMISSION: STAKEHOLDER CONSULTATION - DEVELOPING A NATIONAL ANTIMICROBIAL RESISTANCE STRATEGY FOR AUSTRALIA

Prevalence of Bartonella Species in Domestic Cats in The Netherlands

Centre for Public Health Research Laboratories

Zoonotic Bartonella Species in Fleas and Blood from Red Foxes in Australia

Office International des Épizooties World Organisation for Animal Health created in 1924 in Paris

The impact on the routine laboratory of the introduction of an automated ELISA for the detection of Cryptosporidium and Giardia in stool samples

RESEARCH NOTE BARTONELLA SPECIES IN DOGS AND THEIR ECTOPARASITES FROM KHON KAEN PROVINCE, THAILAND

You have 254 Neanderthal variants.

European Antimicrobial Resistance Surveillance System (EARSS) in Scotland: 2004

Data were analysed by SPSS, version 10 and the chi-squared test was used to assess statistical differences. P < 0.05 was considered significant.

Use of monthly collected milk yields for the early detection of vector-borne emerging diseases.

Rapid molecular testing to detect Staphylococcus aureus in positive blood cultures improves patient management. Martin McHugh Clinical Scientist

Tuberculosis in humans and cattle in Ethiopia: Implications for public health. Stephen Gordon UCD College of Life Sciences

EPIDEMIOLOGY OF CAMPYLOBACTER IN IRELAND

o VETERINARY IMMUNODIAGNOSTICS MARKET- GLOBAL OPPORTUNITY ANALYSIS AND INDUSTRY FORECASTS TO 2022 Report ID: MRAM Publishing Date: July, 2017

Association between Brucella melitensis DNA and Brucella spp. antibodies

ERG on multidrug-resistant P. falciparum in the GMS

Situation update of dengue in the SEA Region, 2010

Staphylococcus aureus

Significant human pathogen. SSTI Biomaterial related infections Osteomyelitis Endocarditis Toxin mediated diseases TSST Staphylococcal enterotoxins

Antimicrobial practice. Laboratory antibiotic susceptibility reporting and antibiotic prescribing in general practice

The OIE Manual of Diagnostic Tests and Vaccines for Terrestrial & Aquatic Animals

The Linacre Cats Protection Project 2015 final report

MRSA found in British pig meat

Monitoring gonococcal antimicrobial susceptibility

Serological Prevalence of FeLV and FIV in Cats in Peninsular Malaysia

Urgent Product Correction Notice FSCA This is to inform you of an Urgent Product Correction Notice involving:

Identification of Bartonella-Specific Immunodominant Antigens Recognized by the Feline Humoral Immune System

Antimicrobial Resistance: Do we know everything? Dr. Sid Thakur Assistant Professor Swine Health & Production CVM, NCSU

COMMISSION OF THE EUROPEAN COMMUNITIES

Introduction- Rickettsia felis

Protect your trees in the ground: What s new on the antimicrobial front?

Clinical and Economic Impact of Urinary Tract Infections Caused by Escherichia coli Resistant Isolates

OIE global strategy for rabies control, including regional vaccine banks

Antimicrobial resistance (EARS-Net)

ANIMAL RABIES IN NEPAL AND RACCOON RABIES IN ALBANY COUNTY, NEW YORK

14th Conference of the OIE Regional Commission for Africa. Arusha (Tanzania), January 2001

Communicating about AR: It s complicated but not impossible! Mary Beth Wenger Health Communications Specialist New York State Department of Health

Core Elements of Outpatient Antibiotic Stewardship Implementing Antibiotic Stewardship Into Your Outpatient Practice

Bi156 Lecture 1/13/12. Dog Genetics

Campylobacter infections in EU/EEA and related AMR

LINEE GUIDA: VALORI E LIMITI

THE COST OF COMPANIONSHIP

P<0.05 ٢٠٠٧ ٣ ﺩﺪﻌﻟﺍ ﺮﺸﻋ ﺚﻟﺎﺜﻟﺍ ﺪﻠﺠﳌﺍ ﺔﻴﳌﺎﻌﻟﺍ ﺔﺤﺼﻟﺍ ﺔﻤﻈﻨﻣ ﻂﺳﻮﺘﳌﺍ ﻕﺮﺸﻟ ﺔﻴﺤﺼﻟﺍ ﺔﻠﺠﳌﺍ

Short information about the ZOBA. Participating on proficiency tests. Monitoring programme

Why Don t These Drugs Work Anymore? Biosciences in the 21 st Century Dr. Amber Rice October 28, 2013

Multi-drug resistant Acinetobacter (MDRA) Surveillance and Control. Alison Holmes

Informing Public Policy on Agricultural Use of Antimicrobials in the United States: Strategies Developed by an NGO

Dr Dooshima Kwange Department of Veterinary and Pest Control Services FMARD

The OIE Relevant Standards and Guidelines for Vaccines

CLADISTICS Student Packet SUMMARY Phylogeny Phylogenetic trees/cladograms

Project Summary. Emerging Pathogens in US Cattle

FDA S ANTIPARASITIC RESISTANCE MANAGEMENT STRATEGY (ARMS)

Visit ABLE on the Web at:

Bacterial whole genome sequencing in clinical microbiology, infection control and public health. Julian Parkhill. FIS, Birmingham, November 2013

of Conferences of OIE Regional Commissions organised since 1 June 2013 endorsed by the Assembly of the OIE on 29 May 2014

2013 Holiday Lectures on Science Medicine in the Genomic Era

Antimicrobial Susceptibility Patterns of Salmonella Typhi From Kigali,

JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 2.417, ISSN: , Volume 4, Issue 2, March 2016

R-factor mediated trimethoprim resistance: result of two three-month clinical surveys

Surveillance of animal brucellosis

TOC INDEX. Salmonellosis in Feedlot Cattle. Jane Pritchard. Take Home Message. Introduction

OIE Reference Laboratory Reports Activities

AMR monitoring in Veterinary Medicine Industry Initiatives

Why should we care about multi-resistant bacteria? Clinical impact and

Success for a MRSA Reduction Program: Role of Surveillance and Testing

Reintroducing bettongs to the ACT: issues relating to genetic diversity and population dynamics The guest speaker at NPA s November meeting was April

Typhoid fever - priorities for research and development of new treatments

Economically important trait. Increased demand: Decreased supply. Sheep milk cheese. 2007: $2.9 million for milk production (Shiflett, 2008)

COMPARING DNA SEQUENCES TO UNDERSTAND EVOLUTIONARY RELATIONSHIPS WITH BLAST

WILDLIFE HEALTH AUSTRALIA (WHA) SUBMISSION: DRAFT NATIONAL ANTIMICROBIAL RESISTANCE STRATEGY FOR THE AUSTRALIAN ANIMAL SECTOR

MRSA in the United Kingdom status quo and future developments

Disease Ecology: The role of global change on emerging infectious diseases

Annex III : Programme for the control and eradication of Transmissible Spongiform Encephalopathies submitted for obtaining EU cofinancing

General principles of surveillance of bovine tuberculosis in wildlife

and other serological tests in experimentally infected cattle

Consequences of Antimicrobial Resistant Bacteria. Antimicrobial Resistance. Molecular Genetics of Antimicrobial Resistance. Topics to be Covered

Co-transfer of bla NDM-5 and mcr-1 by an IncX3 X4 hybrid plasmid in Escherichia coli 4

MID 23. Antimicrobial Resistance. Consequences of Antimicrobial Resistant Bacteria. Molecular Genetics of Antimicrobial Resistance

7.013 Spring 2005 Problem Set 2

Transcription:

JCM Accepts, published online ahead of print on 6 April 2011 J. Clin. Microbiol. doi:10.1128/jcm.00275-11 Copyright 2011, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved. Multi-locus sequence typing of B. henselae 1 2 Multilocus sequence typing of Bartonella henselae in the United Kingdom indicates only a few, uncommon sequence types are associated with zoonotic disease. 3 4 5 Gemma L. Chaloner 1*, Timothy G. Harrison 2, Karen P. Coyne 1, David M. Aanensen 3 and Richard J. Birtles 1,4 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 Department for Infection Biology, Institute for Infection and Global Health and School of Veterinary Science, University of Liverpool, CH64 7TE, United Kingdom 1 ; Respiratory and Systemic Infection Laboratory (RSIL), Health Protection Agency Centre for Infections, London, NW9 5HT, United Kingdom 2 ; Department of Infectious Disease Epidemiology, Imperial College London, London, W2 1PG, United Kingdom 3. School of Environment and Life Sciences, University of Salford, M5 4WT, United Kingdom 4. *Corresponding author: Mailing address: The University of Liverpool, Leahurst Campus, Chester High Road, Neston, South Wirral, CH64 7TE Tel: +44 151 794 6017; Fax: +44 151 794 6005. Email address: g.chaloner@liv.ac.uk (G.L. Chaloner). Running Title: Multi-locus sequence typing of B. henselae 1

23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 ABSTRACT Bartonella henselae is one of the most common zoonotic agents acquired from companion animals (cats) in industrialised countries. Nonetheless, although the prevalence of infections in cats is high, the number of human cases reported is relatively low. One hypothesis for this discrepancy is that B. henselae strains vary in their zoonotic potential. To test this hypothesis, we employed structured sampling to explore the population structure of B. henselae in the United Kingdom and to determine the distribution of strains associated with zoonotic disease within this structure. A total of 118 B. henselae strains were delineated into 13 sequence types (STs) using multi-locus sequence typing. We observed that most (85%) of the zoonosis-associated strains belonged to only three genotypes, ST2, ST5 and ST8. Conversely, most (74%) of feline isolates belonged to ST4, ST6 and ST7. The difference in host association of ST2, ST5 and ST8 (zoonosis-associated) and ST 6 (feline) was statistically significant (P<0.05), indicating that a few, uncommon STs were responsible for the majority of symptomatic human infections. Keywords: Bartonella henselae, typing, MLST, sequence type, population 2

42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 INTRODUCTION Bartonella henselae infections, manifesting most frequently as cat scratch disease (9) are one of the most common zoonoses acquired from companion animals in industrialised countries (15-17). In the reservoir host, the domestic cat, the prevalence of B. henselae bacteraemia can exceed 40 % (8), although it is usually somewhat lower in more temperate regions such as the United Kingdom where prevalence was found to be about 9% (6). Although the isolation of B. henselae from the blood of infected cats is straight-forward, obtaining isolates from humans is difficult, hence almost all human cases are diagnosed using serological or PCR-based approaches (1, 10, 11, 15). Genetic diversity among B. henselae strains has been assessed using different genotypic methods (11, 25, 30), and all have delineated multiple genotypes (2-5, 7, 10, 15, 18, 20, 21). A study in the Netherlands, based on comparison of 16S rdna sequences, provided the first evidence that B. henselae strains possessing a particular genotype were more frequently associated with zoonosis than others (5). Further support for this observation has resulted from the use of multi-locus sequence typing (MLST) (1, 15, 20). The first application of MLST to B. henselae involved 37 feline and human isolates and identified seven sequence types (STs) that formed three deep-rooted lineages, termed clonal complexes (CCs) within the species (15). The study revealed that human isolates were significantly over-represented in one particular ST, ST1 (15). A subsequent survey of 182 B. henselae isolates acquired from archives around the world also found that ST1 was significantly associated with human infection and observed that, broadly, the geographical distribution of STs was not homogenous (1). However, in both MLST studies, the sampling of strains was not coordinated either geographically or temporally. Furthermore, the number of human-associated B. henselae isolates examined was low. 65 66 67 We built on these earlier studies by (i) rigorously testing for the existence of temporal and national geographic determinants on the population structure of B. henselae, (ii) developing and employing a 3

68 69 70 71 non-culture based MLST protocol to facilitate genotyping of B. henselae strains infecting symptomatic humans, and thus extending exploration of their diversity in relation to the natural (feline-infecting) B. henselae population, and (iii) introducing a online database for the storage and sharing of B. henselae MLST data. 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 MATERIALS AND METHODS Collection of cat blood samples and recovery and identification of B. henselae isolates Feline blood samples were provided by six veterinary hospitals and clinics (Table 1), selected primarily on the basis of their geographic spread across England. Samples were not collected specifically for this project but rather were residual samples from cats undergoing other tests. Cats were included in the study if at least 0.5 ml of blood remained once all the required veterinary tests had been performed. Samples that shared clear epidemiological links, such as repeated collections from the same animal or samples from animals living at the same address were excluded from the study. Primary isolates were obtained by freezing samples at -20 C for 24 hours then plating onto Columbia agar plates (Oxoid, UK) containing 10% defibrinated horse blood and incubating plates at 35 C in a 5% CO 2 atmosphere for 4 weeks. When putative colonies of bartonellae were observed, sweeps through them were sub-cultured onto fresh media. DNA extracts were prepared by boiling suspensions of bacteria in sterile distilled water for ten minutes. Bartonella DNA was detected using the second round of a semi-nested PCR assay targeting the Bartonella 16S-23S rrna intergenic region (ISR) (28) and characterised by sequencing of the PCR product in both directions using the primers used for amplification (28). 92 93 Collection of clinical specimens from humans and detection of bartonella DNA 4

94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 The Health Protection Agency (HPA) offers a serology-based service for diagnosis of suspected Bartonella infections in humans. In November 2005 we instigated a follow-up study of all serologypositive patients. Sera were examined for the presence of B.henselae and Bartonella quintana antibodies using Bartonella IgG and IgM indirect immunofluorescent antibody test kits (Focus Diagnostics, Cypress, USA). The manufacturer s criteria were adopted for the interpretation of serological results but with slight modification (13). Thus an IgM titre of >20 was considered as evidence of current or recent infection, an IgG titre of 256 as presumptive evidence of recent infection, a single IgG titre of 128 as evidence of infection at an undetermined time, and stable or falling IgG titres from 128 in two sera, taken more than ten days apart, as suggestive of past infection. For patients who fulfilled these criteria, demographic and clinical data were extracted from the specimen request forms and a report was sent to the requesting laboratory asking for clinical material suitable for PCR-based confirmatory diagnostics. DNA was extracted from clinical material using the QIAamp DNA mini Kit (QIAGEN, Hilden, Germany) at the HPA Centre for Infections in London. Extracts were typically prepared in batches of between 1 and 3 samples. A water-only negative extraction control was concurrently prepared with each batch. Extracts and extraction controls were sent to the University of Liverpool for PCR analysis. The presence of DNA from Bartonella species was determined using the semi-nested version of the ISR-targeting PCR (28) and sequencing, as described above. A positive control, comprising of B. bacilliformis DNA, and a water-only negative control, were concurrently tested with each batch of samples/extraction controls. Reaction mixes for the first and second stages of the assay were each prepared in dedicated laboratories, designed for purpose, in which no other activities took place and which were remote from laboratories where amplification products were prepared for sequencing. 116 117 118 119 MLST Sequence data were obtained for the eight genetic loci described in the previously-defined B. henselae MLST scheme (Table 2) (1, 15). For feline isolates, these data were obtained using 5

120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 previously-described PCRs (15). However, when DNA extracts prepared from B. henselae infected human tissues were incorporated into these assays, they failed to yield discernible amplification products. To circumvent this problem, an approach using nested PCRs was developed. For each MLST locus, additional oligonucleotide primers targeting sequences close to, but outside, those targeted by the previously-described primers, were designed (Table 2). These new primers were used in first round PCRs then products of these assays were incorporated as template into second round PCRs that employed the previously-described primers. Each first round reaction mixture contained 12.5 µl 2xPCR mastermix (Abgene, Epsom, Surrey), 0.5 µl of a 20 ρmol µl -1 solution of both forward and reverse primers, 10.5 µl water and 1 µl DNA extract. Reaction mixtures were exposed to a thermal programme of 96 C for 5 min followed by 40 cycles of 96 C for 10 sec, 55 C for 10 sec and 72 C for 50 sec, with a final extension step of 72 C for 10 min. The second round reaction mixture comprised of 12.5 µl 2xPCR mastermix, 0.5 µl of a 20 ρmol µl -1 solution of both forward and reverse primers, 9.5 µl water and 2 µl of the first round reaction mix. The thermal programme described above was used. MLST typing of human-associated B. henselae strains was performed on an ad hoc basis during the course of the study period, most often individually. To reduce the risk of cross-contamination, no positive controls were incorporated into nested MLST PCRs, hence only water-only negative controls were used. Reaction mixes for each stage of the MLST assays were prepared in dedicated laboratories, as detailed above for the ISR-targeting assay. The nucleotide sequences of MLST amplification products were determined as described above and were analyzed and verified using Chromas Pro V1.4.1 (Technelysium Pty Ltd., Queensland, Australia). Alignment of verified sequences was carried out using MEGA V4.0 (27). Alleles and STs were assigned in accordance with published data (1, 15, 20, 22, 29). New allelic combinations were assigned to new STs in their order of detection. All MLST data generated during this study and from previous work (1, 15), together with details of the provenance of the B. henselae strains from which these data were derived, were uploaded onto a newly-created publicly-available internet 6

146 147 148 149 150 database, hosted on the MLST website http://bhenselae.mlst.net. The juxtapositions of STs within the B. henselae population structure was examined using eburst (http://eburst.mlst.net) to analyse differences in allelic profiles (12, 26) and phylogeny inferred from alignments of concatenated sequences. Phylogenetic inferences were carried out using MEGA V4.0 (27) and included maximum-likelihood, parsimony and neighbour-joining algorithms. 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 Statistical analysis The existence of significant geographical or seasonal variation of STs was assessed using Pearson s Chi Square test for association in STATA V10. Values were considered to be statistically significant if p 0.05 (5%). The relative frequency of the feline and human-associated strains within each ST was compared with the overall frequency of isolates in this study using the Fisher s exact test, with statistically significant values taken as p 0.05 (5%). RESULTS Prevalence of Bartonella spp in UK cats and MLST of feline isolates Isolates were obtained from 103 of 1782 feline blood samples (5.8%) (Table 1). B. henselae was cultured from 96 samples (5.4%) and Bartonella clarridgeiae from seven (0.4%). Complete MLST profiles were obtained for isolates recovered from 94 of the 96 samples. However, for isolates obtained from two samples, unequivocal sequence data could not be obtained. Thus, five single colony picks were taken from cultures of these samples and each pick was individually subjected to MLST. All picks yielded unequivocal sequence data, but different picks from the same cat yielded different STs, indicating co-infection; cat RSPCA210 was co-infected with ST5 and ST7, and cat BHAM76 was co-infected with ST6 and ST8. In total, 13 STs were encountered, four of which were new (designated ST27 to ST30 in order of detection). All the new STs were rare, and the B. henselae population was dominated by four STs, ST4, ST6, ST7 and ST8, which represented 19%, 40%, 15% and 8% of isolates respectively (Figure 1). 7

172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 Geographical and temporal correlates for B. henselae STs ST6 was the most common B. henselae ST found in English cats (Figure 1), being encountered at all six clinics involved in this study and during all seasons throughout the study period (Supplementary Figures 1 and 2). Other common STs were also widely distributed, spatially and temporally (Supplementary Figures 1 and 2). There was no statistical support for the geographical clustering of any STs (χ 2 =13.8, p= 0.54), or significant seasonal variation in the incidence of specific STs (χ 2 =9.9, p= 0.40). To determine how the population structure of B. henselae in domestic cats (i.e. the natural reservoir) in England fits with that on a wider geographical scale, data were collated from previous MLST studies (1, 15, 20, 22, 29) and divided into three categories, UK, continental Europe and the rest of the world (Table 3). The distributions of the common STs in these three categories were not random; ST1 and ST5 were significantly more common in countries outside Europe than in England, and ST5 and ST7 was significantly more common in continental Europe than England. Conversely, ST4 and ST6 have been significantly more frequently isolated from English cats than cats living elsewhere (Table 3) Identification and MLST analysis of zoonotic B. henselae strains Appropriate clinical material (fresh, frozen lymph node biopsies or aspirates, or heart valves) was received from 51 patients with serological evidence of bartonella infection. Bartonella DNA was detected in tissues from 32 (63%) patients. Sequencing of ISR amplification products revealed that 20 patients were infected with B. henselae (Table 4) and the remaining 12 patients were infected with B. quintana. The nested MLST PCR protocol successfully amplified all MLST loci from the 20 patients with symptomatic B. henselae infections. ST8 was the most frequent ST encountered 8

197 198 (eight patients) and ST2 was also common (six patients), while ST5 was found in three patients and ST1, ST4 and ST7 were each encountered in one patient (Figure 1, Table 4). 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 Relationship between ST and host species Although ST6 was the most predominant ST among isolates recovered from cats in our study, it was not encountered among human-associated strains (p <0.001). However, ST2 (p <0.001), ST5 (p <0.05) and ST8 (p <0.001) were significantly more common among zoonotic strains than among feline isolates. Analysis of B. henselae population structure Phylogenetic analysis indicated that the 30 B. henselae STs encountered to date, including the four new STs reported in this study, formed well-supported, distinct clusters on three deep-rooted lineages (Figure 1). The existence of these clusters and lineages were supported by all three approaches to phylogenetic inference taken (data not shown). The proposed branching orders within each cluster were not robust, with low bootstrap support and inconsistency between algorithms. The four new STs were not specifically related to one another (Figure 1). Comparison of allelic profiles of STs using eburst resulted in the four new STs being assigned to one of the three previouslydescribed CCs within the species (1, 15, 20, 22, 29)(Supplementary Figure 3). DISCUSSION B. henselae is a successful parasite of domestic cats; surveys carried out worldwide have consistently demonstrated the presence of the organism in feline blood, almost always at a prevalence of greater than 5% and often exceeding 20% (8). Cat ownership is common around the globe; for example, there are an estimated 8 million cats in the UK, living in 43% of the nation s households (23, 24), and this popularity creates a common and widespread natural reservoir for B. henselae. However, given the scale, and hence potential public health threat, of this reservoir, the 9

223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 reported incidence of B. henselae zoonoses is remarkably low (the HPA diagnoses only about 125 patients per annum in the UK (14). There are several possible explanations for this discrepancy; for example, transmission of B. henselae to humans may be an extremely inefficient process, or transmission itself may be efficient, but the virulence of B. henselae may be such that symptomatic infections are rare. However, a further explanation may be that B. henselae strains vary in their ability to provoke disease. This explanation has support from previous studies in which certain genotypes are over-represented among human-associated strains (1, 15, 29). However, in all these studies, the validity of the association observed was somewhat compromised by the opportunistic manner in which strains were collected. Furthermore, the paucity of human isolates resulted in few being included in these studies. We have aimed to circumvent both these shortfalls. Firstly, we attempted to sample the diversity of B. henselae strains circulating in humans and domestic cats in a single country during the same time period. Secondly, rather than genotype human-associated B. henselae isolates, we applied MLST to extracts of clinical material containing B. henselae DNA. This strategy has previously been applied for the genotyping of human-associated B. henselae strains with multi-spacer typing (MST), which is a similar approach to MLST (19), and has also been very recently used in conjunction with MLST itself (29). We observed rich genetic diversity amongst the B. henselae circulating in the UK, delineating 13 different STs in the 118 strains studied. This figure is akin to that reported recently in an MLSTbased study of B. henselae diversity in Germany (22). In this work, 39 feline isolates were characterised into 17 STs distributed in all three of the previously-defined CCs of the species (22). However, such diversity was not observed in a recent study in Japan, in which only three STs, all belonging to CC1, were detected in 55 isolates characterised (29). These observations suggest that B. henselae diversity is more pronounced in some parts of the world than others. Furthermore, the frequency with which certain STs were encountered in the UK appears to be different to that worldwide and in mainland Europe, adding weight to previous work in which a geographic 10

249 250 251 correlation of B. henselae STs was first demonstrated, and extending this by revealing significant variation on a regional (i.e. UK versus mainland Europe) as well as on a global scale. We also attempted to identify temporal variation in ST incidence but could find no evidence for this. 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 We revealed a significant correlation between specific STs and human disease in the UK. We found that ST2, ST5 and ST8 were significantly associated with zoonosis. Although the finding of a correlation between a specific ST and human disease was in accordance with earlier work (1, 15), previous studies found that human-associated strains were over-represented in ST1, as opposed to ST2, ST5 and ST8. Why these three STs, and not ST1, present the greatest public health risk in the UK is unclear, however, given that geography is a determinant of B. henselae population structure, it is not an unsurprising observation. It is noteworthy that the vast majority of human-associated isolates included in earlier MLST studies were not from Western Europe (1, 15, 20, 22, 29), and the worldwide zoonotic importance of ST1 was determined using univariant analysis without considering geographic influence. Thus, whereas B. henselae strains belonging to ST1 may be more likely to be associated with zoonosis in Australia, Japan and maybe the USA, this association does not necessarily hold elsewhere, as demonstrated in our study. Further application of MLST on a national or regional scale will be necessary to resolve this. The B. henselae population structure defined by MLST appears to be generally congruent with that defined using MST (18), and using both approaches, MLST CC1/MST cluster 1 contains significantly more human-associated strains than other clusters (1, 15, 19). However, a recent study using MST to characterise human-associated strains predominantly from France found that many belonged to MST cluster 3, which corresponds to MLST CC2 (19). Furthermore, the distribution of the genotypes of human-associated strains was not significantly different from that of the genotypes of feline isolates. These observations are surprising given that they are discrepant with our work, and previous MLST-based studies (1, 15), and explaining the discrepancy is difficult. Perhaps MST 11

275 276 277 genotype 5, which, among the genotypes within MST cluster 3, is the one by far the most frequently associated with zoonosis, is rare or absent in the UK. Clearly, combined MLST and MST-based analysis of UK and French B. henselae strains would be useful in resolving this uncertainty. 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 Why specific STs are more frequently associated with symptomatic human infections than others is uncertain; clearly, the ability to infect humans holds no selective advantage for B. henselae as humans are accidental hosts, and thus zoonotic importance of these STs must be an unfortunate side effect of some other adaptation. Indeed, whether these STs share common determinants of zoonotic relevance or if each possesses unique traits that coincidently result in more frequent human disease is unknown. Given this uncertainty, identifying the genetic basis of the specific zoonotic threat posed by these STs is likely to be extremely difficult. Nonetheless, the use of comparative genomics may, at least, offer a means to identify ST-specific genetic motifs and could help identify virulence factors associated only with those B. henselae STs which are most frequently associated with zoonosis. ACKNOWLEDGEMENTS This work was part funded by a BBSRC Doctoral Training Award to GLC. We thank the RSPCA Greater Manchester Animal Hospital, the Birmingham RSPCA Animal Hospital, the Cats Protection s National Cat Adoption Centre, the Bury & Oldham RSPCA Branch, the Bristol RSPCA Clinic and the University of Liverpool Small Animal Hospital for submitting excess blood samples. We also thank Heather Ford, Teresa Stocki and Agatha Opoku-Boateng of the HPA who carried out the serology and DNA extractions on the human clinical samples. 297 298 299 300 CONFLICT OF INTEREST STATEMENT None of the authors of this paper has a financial or personal relationship with other people or organisations that could inappropriately influence or bias the content of the paper. 12

301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 REFERENCES 1. Arvand, M., E. Feil, M. Giladi, H. Boulouis, and J. Viezens. 2007. Multi-locus sequence typing of Bartonella henselae isolates from three continents reveals hypervirulent and feline-associated clones. PLoS ONE 2:e1346 2. Arvand, M., A. J. Klose, D. Schwartz-Porsche, H. Hahn, and C. Wendt. 2001. Genetic variability and prevalence of Bartonella henselae in cats in Berlin, Germany, and analysis of its genetic relatedness to a strain from Berlin that is pathogenic for humans. J. Clin. Microbiol. 39:743-746. 3. Arvand, M., and J. Viezens. 2007. Evaluation of pulsed-field gel electrophoresis and multi-locus sequence typing for the analysis of clonal relatedness among Bartonella henselae isolates. Int. J. Med. Microbiol. 297:255-262. 4. Berghoff, J., J. Viezens, L. Guptill, M. Fabbi, and M. Arvand. 2007. Bartonella henselae exists as a mosaic of different genetic variants in the infected host. Microbiology 153:2045-2051. 5. Bergmans, A. M. C., J. F. P. Schellekens, J. D. A. vanembden, and L. M. Schouls. 1996. Predominance of two Bartonella henselae variants among cat-scratch disease patients in the Netherlands. J. Clin. Microbiol. 34:254-260. 6. Birtles, R. J., G. Laycock, M. J. Kenny, S. E. Shaw, and M. J. Day. 2002. Prevalence of Bartonella species causing bacteraemia in domesticated and companion animals in the United Kingdom. Vet. Rec. 151:225-229. 7. Bouchouicha, R., B. Durand, M. Monteil, B. B. Chomel, M. Berrich, M. Arvand, R. J. Birtles, E. B. Breitschwerdt, J. E. Koehler, R. Maggi, S. Maruyama, R. Kasten, E. Petit, H. J. Boulouis, and N. Haddad. 2009. Molecular epidemiology of feline and human Bartonella henselae isolates. Emerg. Infect. Dis. 15:813-816. 13

326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 8. Boulouis, H. J., C. C. Chang, J. B. Henn, R. W. Kasten, and B. B. Chomel. 2005. Factors associated with the rapid emergence of zoonotic Bartonella infections. Vet. Res. 36:383-410. 9. Chomel, B. B., and R. W. Kasten. 2010. Bartonellosis, an increasingly recognized zoonosis. J. Appl. Microbiol. 109:743-750. 10. Dillon, B., J. Valenzuela, R. Don, D. Blanckenberg, D. I. Wigney, R. Malik, A. J. Morris, J. M. Robson, and J. Iredelll. 2002. Limited diversity among human isolates of Bartonella henselae. J. Clin. Microbiol. 40:4691-4699. 11. Drancourt, M., R. Birtles, G. Chaumentin, F. Vandenesch, J. Etienne, and D. Raoult. 1996. New serotype of Bartonella henselae in endocarditis and cat-scratch disease. Lancet 347:441-443. 12. Feil, E. J., B. C. Li, D. M. Aanensen, W. P. Hanage, and B. G. Spratt. 2004. eburst: inferring patterns of evolutionary descent among clusters of related bacterial genotypes from multilocus sequence typing data. J. Bacteriol. 186:1518-30. 13. Harrison, T. G., and N. Doshi. 1999. Serological evidence of Bartonella spp. infection in the UK. Epidemiol. Infect. 123:233-240. 14. Health Protection Agency 2010, Bartonella data. http://www.hpa.org.uk/web/hpaweb&hpawebstandard/hpaweb_c/1195733754721. 15. Iredell, J., D. Blanckenberg, M. Arvand, S. Grauling, E. J. Feil, and R. J. Birtles. 2003. Characterization of the natural population of Bartonella henselae by multilocus sequence typing. J. Clin. Microbiol. 41:5071-5079. 16. Jackson, L. A., B. A. Perkins, and J. D. Wenger. 1993. Cat-scratch disease in the United- States - an analysis of 3 national databases. Am. J. Public Health 83:1707-1711. 17. Kaplan, S., J. Rawlings, C. Paddock, J. Childs, R. Regnery, M. Reynolds, and CDC. 2002. Cat-scratch disease in children - Texas, September 2000-August 2001 (Reprinted from MMWR, vol 51, pg 212-214, 2002). JAMA 287:2647-2649. 14

352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 18. Li, W. J., B. B. Chomel, S. Maruyama, L. Guptil, A. Sander, D. Raoult, and P. E. Fournier. 2006. Multispacer typing to study the genotypic distribution of Bartonella henselae populations. J. Clin. Microbiol. 44:2499-2506. 19. Li, W. J., D. Raoult, and P. E. Fournier. 2007. Genetic diversity of Bartonella henselae in human infection detected with multispacer typing. Emerg. Infect. Dis. 13:1178-1183. 20. Lindroos, H., O. Vinnere, A. Mira, D. Repsilber, K. Naslund, and S. G. E. Andersson. 2006. Genome rearrangements, deletions, and amplifications in the natural population of Bartonella henselae. J. Bacteriol. 188:7426-7439. 21. Maruyama, S., R. W. Kasten, H. J. Boulouis, N. A. Gurfield, Y. Katsube, and B. B. Chomel. 2001. Genomic diversity of Bartonella henselae isolates from domestic cats from Japan, the USA and France by pulsed-field gel electrophoresis. Vet. Microbiol. 79:337-349. 22. Mietze, A., D. Morick, H. Kohler, S. Harrus, C. Dehio, I. Nolte, and R. Goethe. 2010. Combined MLST and AFLP typing of Bartonella henselae isolated from cats reveals new sequence types and suggests clonal evolution. Vet. Microbiol. doi:10.1016/j.vetmic.2010.08.012 23. Murray, J. K., W. J. Browne, M. A. Roberts, A. Whitmarsh, and T. J. Gruffydd-Jones. 2010. Number and ownership profiles of cats and dogs in the UK. Vet. Rec. 166:163-168. 24. PFMA 2010, http://www.pfma.org.uk/overall/pet-population-figures-.htm. 25. Sander, A., M. Ruess, S. Bereswill, M. Schuppler, and B. Steinbrueckner. 1998. Comparison of different DNA fingerprinting techniques for molecular typing of Bartonella henselae isolates. J. Clin. Microbiol. 36:2973-2981. 26. Spratt, B. G., W. P. Hanage, B. Li, D. M. Aanensen, and E. J. Feil. 2004. Displaying the relatedness among isolates of bacterial species - the eburst approach. FEMS Microbiol. Lett. 241:129-134. 27. Tamura, K., J. Dudley, M. Nei, and S. Kumar. 2007. MEGA4: Molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol. Biol. Evol. 24:1596-1599. 15

378 379 380 381 382 383 384 385 386 387 388 28. Telfer, S., K. J. Bown, R. Sekules, I. Begon, T. Hayden, and R. Birtles. 2005. Disruption of a host-parasite system following the introduction of an exotic host species. Parasitol. 130:661-668. 29. Yanagihara, M., H. Tsuneoka, S. Hoshide, E. Ishido, A. Umeda, M. Tsukahara, J. Nojima, K. Ichihara, K. Hino, I. Hirai, and Y. Yamamoto. 2010. Molecular typing of Bartonella henselae DNA extracted from human clinical specimens and cat isolates in Japan. FEMS Immunol. Med. Microbiol. 60: 44-48. 30. Zeaiter, Z., P. E. Fournier, and D. Raoult. 2002. Genomic variation of Bartonella henselae strains detected in lymph nodes of patients with cat scratch disease. J. Clin. Microbiol. 40:1023-1030. Downloaded from http://jcm.asm.org/ on September 14, 2018 by guest 16

Table 1. Origin of cat blood samples and prevalence of Bartonella spp in these samples. Establishment RSPCA Greater Manchester Animal Hospital Location N o of blood samples N o of isolates (% prevalence: 95%CI) B. henselae isolates (% prevalence: 95%CI) B. clarridgeiae isolates (% prevalence: 95%CI) Manchester 190 29 (15.3: 10.6-21.4) 28(14.7: 10.2-20.8)* 1(0.5: 0.03-3.5) Bristol RSPCA Clinic Bristol 193 20 (10.4: 6.6-15.7) 18(9.3: 5.8-14.6) 2(1.0: 0.18-4.1) Birmingham RSPCA Animal Hospital Bury & Oldham RSPCA Branch Cats Protection National Cat Centre Birmingham 313 25 (8.0: 5.3-11.7) 25(8.0: 5.3-11.7)* 0(0: 0-1.5) Oldham 65 3 (4.6: 1.2-13.8) 2(3.1: 0.5-11.6) 1(1.5: 0.08-9.4) Sussex 568 16 (2.8: 1.7-4.6) 15(2.6: 1.5-4.4) 1(0.2: 0.01-0.11) University of Liverpool Wirral 453 12 (2.6: 1.4-4.7) 10(2.2: 1.1-4.1) 2(0.4: 0.08-1.8) Downloaded from http://jcm.asm.org/ on September 14, 2018 by guest 17

Table 2. Oligonucleotide primers used in the B. henselae nested MLST scheme Locus Round Forward primer Reverse primer Size (bp) of reaction product 16S 1 st CAATATGAGAGTTTGATCCTG ACCTCTGACTTAAATATCCG 548 rdna 2 nd AGAGTTTGATCCTGGYTCAG CTTTACGCCCARTAAWTCCG 511 batr 1 st CGATTGTACTTGTTGATGATG ATGTACAGGTGTGACGTTCTT 596 2 nd GACCGCAATATTTTGACATC GCATCCATCAAAGCATCACGACTT 487 ribc 1 st GTGTTCAGGAGTTTGTCTAA GGCGAATAATAAGAACATCG 376 2 nd AGCGAGGATCAAAACAAC GCTCTTCAACACAATTAACG 321 nlpd 1 st GGATTCTCCAACATTGTCAT CTTTATTCATCACGGTATC 598 2 nd GGCGCTGGTATGATACAA GACATCTGTGCGGAAGAA 494 groel 1 st GCAACAGAAGTTGAAGTGAA AGGCACTGGTGTGTCTTTCT 449 2 nd GTTGATGATGCCTTGAAC TGGTGTGTCTTTCTTTGG 405 glta 1 st TCAGGTGCTAATCCATTTGCA ATTTCTTTCCATTGCGCAAC 466 2 nd GGGGACCAGCTCATGGTGG AATGCAAAAAGAACAGTAAACA 379 ftsz 1 st TCGTGAGGTTAGTGATTTAG CCTCTTCACGATGTGTCAAA 565 2 nd GCCTTCTCATCCTCAACTTC CTTTGTTTTAAACGCTGCC 522 rpob 1 st AAATTACCCATAAGCGGCGT ATCAACAATACCACTACGCCT 607 2 nd CGTGACGTACATCCTACA AACAGCAGCTCCTGAATC 471 Downloaded from http://jcm.asm.org/ on September 14, 2018 by guest 18

Table 3. Correlation between ST and geographical origin among feline B. henselae isolates for which MLST data are currently available ST N o of UK isolates N o of isolates from elsewhere in Europe N o of isolates from elsewhere in world 1 5 12 74** 2 3 0 2 3 0 0 1 4 25 1** 11** 5 2 33** 48** 6 45 13** 31** 7 20 50** 55 8 9 7 8 9 0 1 4 10 2 0 2 11 1 1 1 12 0 0 1 13 0 1 1 14 0 2 2 15 0 0 1 16 0 1 1 17 0 1 1 18 0 1 1 19 0 2 2 20 0 1 1 21 0 1 1 22 0 1 1 23 2 1 1 24 0 1 1 25 0 1 1 26 0 3 3 27 1 0 0 28 1 0 0 29 1 0 0 30 1 0 0 Total 118 135 256 Isolates are broken down into UK isolates, isolates from the rest of Europe and then isolates from the rest of the world including Europe. The numbers of isolates assigned to each ST were calculated from the previous MLST studies (1, 15, 20, 22, 29). ** indicates a significant difference as calculated by the Fishers Exact test. 19

Table 4. Clinical, diagnostic and MLST data relating to the 20 patients included in this study Patient ID Specimen tested Patient residence Clinical presentation Serology IgM IgG 1 LN biopsy Nottingham cat scratch disease <20 256 Nov-05 8 2 LN aspirate Oxford cat scratch disease 80 256 Oct-06 8 3 LN biopsy Southampton cat scratch disease 40 256 Sep-07 2 4 LN aspirate Southend cat scratch disease 40 >512 Oct-07 8 5 LN biopsy Kettering cat scratch disease <20 256 Nov-07 8 6 LN aspirate London cat scratch disease 80 >512 Nov-07 8 7 LN biopsy Hull cat scratch disease <20 128 Jan-08 2 8 LN aspirate Plymouth cat scratch disease <20 >512 Jan-08 2 9 LN biopsy Dundee cat scratch disease <20 256 Feb-08 5 10 LN biopsy Liverpool cat scratch disease <20 >512 Apr-08 8 11 heart valve London endocarditis nk nk May-08 4 12 heart valve Stoke endocarditis <20 >512 Jun-08 7 13 LN aspirate Winchester cat scratch disease <20 256 Feb-09 8 14 LN biopsy Carmarthen cat scratch disease <20 512 Oct-09 8 15 nk London nk 40 >512 Oct-09 5 16 LN aspirate Merthyr Tydfil cat scratch disease <20 512 Nov-09 2 17 LN aspirate London cat scratch disease 80 256 Dec-09 5 18 LN biopsy Worcester cat scratch disease >80 >512 Dec-09 1 19 LN aspirate Bristol cat scratch disease nk >512 Feb-10 2 20 nk Birmingham cat scratch disease nk nk Mar-10 2 LN = lymph node nk = not known Date ST 20

Figure 1. (A) Dendrogram showing phylogenetic relationships among the 30 B. henselae MLST STs encountered to date. STs in bold were sequence data derived from the eight MLST loci using a neighbour-joining approach. The strength of the proposed branching encountered in this study. The dendrogram was inferred from a 3398 base pair alignment of concatenated order was assessed using bootstrapping (1000 replications) and the results of this analysis are expressed as a % at each node. Only scores of over 60% are indicated. (B) The frequency with which each ST was encountered in cats or humans in the study. For each ST encountered, the statistical significance of the difference in the frequency of encounter in cats and humans was calculated, * indicates a significant over-representation of that ST within a host type as examined by Fishers Exact Test. Downloaded from http://jcm.asm.org/ on September 14, 2018 by guest