Literature DB >> 26109474

Wild bird-associated Campylobacter jejuni isolates are a consistent source of human disease, in Oxfordshire, United Kingdom.

Alison J Cody1, Noel D McCarthy1,2,3,4, James E Bray1, Helen M L Wimalarathna1, Frances M Colles1, Melissa J Jansen van Rensburg1, Kate E Dingle5, Jonas Waldenström6, Martin C J Maiden1,4.   

Abstract

The contribution of wild birds as a source of human campylobacteriosis was investigated in Oxfordshire, United Kingdom (UK) over a 10 year period. The probable origin of human Campylobacter jejuni genotypes, as described by multilocus sequence typing, was estimated by comparison with reference populations of isolates from farm animals and five wild bird families, using the STRUCTURE algorithm. Wild bird-attributed isolates accounted for between 476 (2.1%) and 543 (3.5%) cases annually. This proportion did not vary significantly by study year (P = 0.934) but varied seasonally, with wild bird-attributed genotypes comprising a greater proportion of isolates during warmer compared with cooler months (P = 0.003). The highest proportion of wild bird-attributed illness occurred in August (P < 0.001), with a significantly lower proportion in November (P = 0.018). Among genotypes attributed to specific groups of wild birds, seasonality was most apparent for Turdidae-attributed isolates, which were absent during cooler, winter months. This study is consistent with some wild bird species representing a persistent source of campylobacteriosis, and contributing a distinctive seasonal pattern to disease burden. If Oxfordshire is representative of the UK as a whole in this respect, these data suggest that the national burden of wild bird-attributed isolates could be in the order of 10,000 annually.
© 2015 The Authors. Environmental Microbiology Reports published by Society for Applied Microbiology and John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2015        PMID: 26109474      PMCID: PMC4755149          DOI: 10.1111/1758-2229.12314

Source DB:  PubMed          Journal:  Environ Microbiol Rep        ISSN: 1758-2229            Impact factor:   3.541


Introduction

Campylobacter jejuni and Campylobacter coli are widespread intestinal commensals that rarely appear to cause disease in their various wild and domesticated bird and animal hosts (Humphrey et al., 2014); however, they are a frequent zoonotic cause of bacterial gastroenteritis in humans. During 2012, 71 365 cases of human campylobacteriosis were reported in the United Kingdom (UK) (HPS, 2013; PHE, 2013b), of which approximately 90% of cases were caused by C. jejuni (Gillespie et al., 2006; Cody et al., 2012). Estimates of seven additional affected individuals for each diagnosed and reported case means that the actual burden of this disease is much higher (Tam et al., 2012), so that even infection sources causing a minor percentage of total infections are of public health importance. Multilocus sequence typing (MLST) studies of C. jejuni have described a genetically diverse, essentially non‐clonal population, which contains a large number of genotypically related groups of isolates, known as clonal complexes (ccs) (Dingle et al., 2002). Some genotypes are characteristically associated with particular isolation sources (Dingle et al., 2002; McCarthy et al., 2007). Exploitation of these insights in host association studies has identified both multihost and host‐associated ccs, with some genotypes common to farm animals and poultry. Further, phylogenetically distinct C. jejuni have been identified in different species of wild animals and birds, with host species association particularly strong among wild birds (Dingle et al., 2002; Sheppard et al., 2009a; Strachan et al., 2009; Williams et al., 2010; Griekspoor et al., 2013). The association between Campylobacter genotype and host species exceeds that between genotype and geographic origin (Sheppard et al., 2010; Griekspoor et al., 2013). Source attribution analyses have implicated contaminated poultry meat as the major cause of clinical infection in the UK and elsewhere, by either consumption of undercooked meat or by cross‐contamination of other foodstuffs (Mullner et al., 2009a; 2010; Sheppard et al., 2009b; Strachan et al., 2009; Domingues et al., 2012; Mughini Gras et al., 2012; Kittl et al., 2013; Levesque et al., 2013). These studies do not, however, exclude a role for bovine, ovine and other sources in human disease (Mullner et al., 2009b; Sheppard et al., 2009b; Strachan et al., 2009). These alternative sources include wild birds via faecal contamination of equipment and surfaces in children's playgrounds (French et al., 2009), consumption of milk from bottles with bird‐pecked tops (Southern and Kutscher, 1987; Riordan et al., 1993) or by environmental exposure during leisure or employment activities (Strachan et al., 2009). Human campylobacteriosis rates show distinct seasonality in temperate climates demonstrating a summer peak in disease incidence (Nylen et al., 2002; Kovats et al., 2005). In countries with less severe winters, this occurs 3 months prior to the peak in environmental temperature (Kovats et al., 2005) and is evident earlier in the year in children under 5 years of age living in rural areas than in adults (Strachan et al., 2013). The peak observed among young children has different predominant attribution sources in rural and urban areas, with the majority of urban cases having chicken‐associated genotypes whereas those living in rural locations are apparently infected more by ruminant and wild‐bird attributed genotypes (Strachan et al., 2009). Here we investigate the contribution of wild bird isolates to the incidence of human campylobacteriosis among patients of all age groups using 10 years of continuous Campylobacter genotype surveillance in Oxfordshire, United Kingdom, and a replicate analysis using 3 years of equivalent data from patients in Nottinghamshire and Hampshire. Such large datasets, combined with the strong association of Campylobacter genotype with wild bird host (Griekspoor et al., 2013), enable a robust estimation of the contribution made by this infection source to the burden of human disease.

Results and discussion

MLST of Oxfordshire human isolates

Between September 2003 and September 2013, complete MLST profiles were obtained for 5628 human campylobacteriosis isolates from Oxfordshire, UK. The seven most predominant ccs across all study years were; ST‐21 cc; ST‐257 cc; ST‐443 cc; ST‐45 cc; ST‐353 cc, ST‐48 cc and ST‐206 cc; together with sequence types (STs) unassigned to any cc (Fig. 1). This distribution of complexes reflects that seen elsewhere in the UK and confirms the findings of previous studies that demonstrate the capacity of a single sentinel site to accurately reflect national epidemiology (Dingle et al., 2008; McCarthy et al., 2012). The overall changes in prevalence observed in this study for four chicken‐associated ccs (ST‐257, ST‐443, ST‐464 and ST‐574) possibly reflect the dynamics of these genotypes in poultry flocks.
Figure 1

Comparison of the proportion of clonal complexes identified from human campylobacteriosis isolates (n = 5628) from Oxfordshire, UK, between September 2003 and September 2013. A further 13 clonal complexes were represented by less than 1% of isolates in any year. Multilocus sequence typing (MLST) of single colonies isolated prior to June 2011 was performed as previously described (Cody et al., 2012), whereas MLST data from subsequent isolates were extracted from whole genome sequence (Cody et al., 2013).

Comparison of the proportion of clonal complexes identified from human campylobacteriosis isolates (n = 5628) from Oxfordshire, UK, between September 2003 and September 2013. A further 13 clonal complexes were represented by less than 1% of isolates in any year. Multilocus sequence typing (MLST) of single colonies isolated prior to June 2011 was performed as previously described (Cody et al., 2012), whereas MLST data from subsequent isolates were extracted from whole genome sequence (Cody et al., 2013).

Attribution analysis of human isolates

The proportion of clinical isolates from Oxfordshire attributed to wild birds, 2.1%–3.5% annually was similar to values for other human populations reported by two smaller studies (Sheppard et al., 2009b; Levesque et al., 2013), and showed no consistent secular trend and no statistically significant variation between years (P = 0.934) (Fig. 2). However, there was a significant variation in the percentage of these human cases attributable to wild birds during cooler (October to April) relative to the warmer (May to September) months (P = 0.003) (Fig. 3), with individuals more likely to acquire a wild bird C. jejuni genotype during August (P < 0.001) and less likely to do so during November (P = 0.018) than during other months of the year. Among the five groups of wild birds a seasonal pattern was observed for Oxfordshire disease isolates attributable to members of the Turdidae (blackbirds and song thrushes), which accounted for between 0.4% and 1.1% of cases in the warmer months (May to September), but no disease during cooler periods (October to April) (P = 0.011). In contrast, cases attributed to members of the Anatidae (mallards and geese) and Laridae (gulls) occurred across all months, without evidence for seasonal variation (Fig. 3). Cases attributable to birds of the Scolopacidae (dunlin and sandpipers) and Sturnidae (starlings) were fewer in number not allowing inference for or against seasonal patterns.
Figure 2

Proportion of clinical isolates collected in Oxfordshire, UK, between September 2003 and September 2013 (n = 5618), attributed to farm animals (blue) or wild bird sources (brown). Farm reference data sets consisted of 1541 UK isolates from 742 retail poultry (2001–2005), 582 cattle and 217 sheep (2003–2006) which included isolates from Sheppard and colleagues (2009b; 2010). Wild bird reference datasets totalled 921 isolates from the UK (2002–2005) (Colles et al., 2008b; 2009), Australia (2004–2006) (Hansbro et al., 2010) and Sweden (1999–2002) (Broman et al., 2002; 2004; Waldenstrom et al., 2002). All referenced and additional data were accessed via the isolate database at http://pubmlst.org/campylobacter (Table S1). The frequency of MLST genotypes from different host species was calculated using the STRUCTURE algorithm (Pritchard et al., 2000), to which isolates of unknown source were assigned. All genotypes were identified by the USEPOPINFO flag, frequencies between populations regarded as independent and a no‐admixture model assumed. Assignments were performed using 1000 burn‐in cycles and sampling 10 000 iteration cycles. Variation between years was assessed using Pearson's chi‐square statistic, or, where sample sizes were small, Fisher's exact test using Stata IC 10 (StataCorp LP, Texas).

Figure 3

Proportion of clinical isolates attributed using STRUCTURE to farm animals (blue) or wild bird sources: Anatidae (mallards, geese) brown; Laridae (gulls) green; Turdidae (blackbirds, song thrush) purple; Sturnidae (starlings) pink; Scolopacidae (dunlin, sharp‐tailed sandpipers) turquoise, was performed as described above, by month.

A. Oxfordshire, UK, between September 2003 and September 2013 (n = 5618).

B. Hampshire and Nottinghamshire, UK, between May 2000 and April 2003 (n = 1446).

Proportion of clinical isolates collected in Oxfordshire, UK, between September 2003 and September 2013 (n = 5618), attributed to farm animals (blue) or wild bird sources (brown). Farm reference data sets consisted of 1541 UK isolates from 742 retail poultry (2001–2005), 582 cattle and 217 sheep (2003–2006) which included isolates from Sheppard and colleagues (2009b; 2010). Wild bird reference datasets totalled 921 isolates from the UK (2002–2005) (Colles et al., 2008b; 2009), Australia (2004–2006) (Hansbro et al., 2010) and Sweden (1999–2002) (Broman et al., 2002; 2004; Waldenstrom et al., 2002). All referenced and additional data were accessed via the isolate database at http://pubmlst.org/campylobacter (Table S1). The frequency of MLST genotypes from different host species was calculated using the STRUCTURE algorithm (Pritchard et al., 2000), to which isolates of unknown source were assigned. All genotypes were identified by the USEPOPINFO flag, frequencies between populations regarded as independent and a no‐admixture model assumed. Assignments were performed using 1000 burn‐in cycles and sampling 10 000 iteration cycles. Variation between years was assessed using Pearson's chi‐square statistic, or, where sample sizes were small, Fisher's exact test using Stata IC 10 (StataCorp LP, Texas). Proportion of clinical isolates attributed using STRUCTURE to farm animals (blue) or wild bird sources: Anatidae (mallards, geese) brown; Laridae (gulls) green; Turdidae (blackbirds, song thrush) purple; Sturnidae (starlings) pink; Scolopacidae (dunlin, sharp‐tailed sandpipers) turquoise, was performed as described above, by month. A. Oxfordshire, UK, between September 2003 and September 2013 (n = 5618). B. Hampshire and Nottinghamshire, UK, between May 2000 and April 2003 (n = 1446). Human disease isolate data from Hampshire and Nottinghamshire between May 2000 and April 2003 (McCarthy et al., 2012) showed a similar pattern of attribution with respect to wild bird genotypes, which included a statistically significant difference in wild bird‐associated seasonal signal (P = 0.049) between warmer and cooler months (Fig. 3). Clinical campylobacteriosis cases attributable to members of the Turdidae again showed a seasonal pattern with the highest number of cases occurring in July (1.7%), June (1.3%), August (1.3%), May and March (0.1%); with no cases detected during the rest of the year. Lower numbers of isolates contained in the smaller replicate dataset from Hampshire and Nottinghamshire limited formal inference on potential differences between different groups of birds. The seasonality of human infection observed for wild bird attributed cases peaked in August, which is later than the seasonal peak from all sources (Nylen et al., 2002; Kovats et al., 2005; Cody et al., 2012). However, the observed seasonal pattern in Turdidae attributed clinical disease correlated inversely with the population size of this bird family, which for both species increase in late autumn and winter months by the influx of migratory birds from other populations in Northern Europe. Habitats favoured by members of the Turdidae include parks and gardens, which could explain direct human transmission via faecal contamination during the seasons when people are more likely to frequent these settings. Investigations specific to the acquisition of disease in young children have concluded that indirect exposure to surfaces contaminated with starling faeces (French et al., 2009), combined with frequent hand‐to‐mouth behaviour (Tulve et al., 2002), are key risk factors. In contrast, the predominant acquisition pathway of chicken‐associated genotypes appears to be via consumption of contaminated foodstuffs; risk factors for ruminant‐associated STs have included occupational and environmental exposures (Strachan et al., 2009; Mughini Gras et al., 2012). As 71 365 human campylobacteriosis cases were reported in the UK in 2012 (HPS, 2013; PHE, 2013b), and estimates suggest that only one in seven individuals with campylobacteriosis are diagnosed and reported (Tam et al., 2012), even the lower estimate of 2.1% would indicate that 10 000 human campylobacteriosis cases annually in the UK are wild bird associated. These findings indicate that although wild birds are the source of a relatively small proportion of human infection, the overall disease burden from this source is substantial in absolute terms. The presence of genotypes common to both retail poultry and wild birds was assessed; a total of 442 STs were identified in the two datasets (192 retail poultry, 250 wild bird) of which 12 (2.8%) were shared (Table S2); eight were principally identified in the poultry dataset and four predominated in wild birds. Identification of these shared STs reflects published data that show 3% and 5.9% of wild bird STs have common genotypes with those from farm animal and chicken datasets (Sheppard et al., 2011; Levesque et al., 2013). In total, the shared genotypes were represented by 48 (5.2%) of the wild bird isolates analysed in this study, of which 13 (1.4%) were from Turdidae species. The observed seasonality of Turdidae‐associated genotypes in human disease is therefore most likely due to environmental acquisition routes. The contribution made by farm animal‐associated Campylobacter genotypes, particularly chicken, to human infection has been well documented (Wilson et al., 2008; Mullner et al., 2009b; Sheppard et al., 2009b), but there have been fewer studies which have assessed that made by wild bird genotypes (Colles et al., 2008a; 2009; 2011; French et al., 2009; Strachan et al., 2009; Griekspoor et al., 2013). The combination of information on wild bird Campylobacter genotypes, human campylobacteriosis genotype data from a large, longstanding, longitudinal population based surveillance programme, and the large and growing global resource of host animal reference datasets, enabled an estimate of the burden of human Campylobacter infection associated with wild birds. In addition, these data facilitated the investigation of temporal and wild bird species‐associated human disease patterns. These estimates were validated by repeating the analysis using a second human Campylobacter dataset (McCarthy et al., 2012). Whilst many studies are currently focussed on the control of chicken‐acquired human disease, the number of clinical cases could be reduced by addressing transmission routes from these proportionally smaller sources of infection, which cause higher illness levels in the UK than Salmonella species (PHE, 2013a). Assuming the data reported here to be representative of the UK as a whole, as many as 100 000 human Campylobacter infections may be attributable to wild bird sources over the 10 years of this study. Table S1. Oxfordshire clinical, farm and wild bird Campylobacter jejuni isolates. Table S2. Sequence types (ST) shared between retail poultry (n = 192) and wild bird datasets (n = 250). Click here for additional data file.
  40 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Isolation of a novel Campylobacter jejuni clone associated with the bank vole, Myodes glareolus.

Authors:  N J Williams; T R Jones; H J Leatherbarrow; R J Birtles; A Lahuerta-Marin; M Bennett; C Winstanley
Journal:  Appl Environ Microbiol       Date:  2010-09-17       Impact factor: 4.792

3.  Molecular epidemiology of Campylobacter jejuni in a geographically isolated country with a uniquely structured poultry industry.

Authors:  Petra Müllner; Julie M Collins-Emerson; Anne C Midwinter; Philip Carter; Simon E F Spencer; Peter van der Logt; Steve Hathaway; Nigel P French
Journal:  Appl Environ Microbiol       Date:  2010-02-12       Impact factor: 4.792

4.  Molecular epidemiology of Campylobacter jejuni isolates from wild-bird fecal material in children's playgrounds.

Authors:  Nigel P French; Anne Midwinter; Barbara Holland; Julie Collins-Emerson; Rebecca Pattison; Frances Colles; Philip Carter
Journal:  Appl Environ Microbiol       Date:  2008-12-01       Impact factor: 4.792

5.  A point source outbreak of campylobacter infection related to bird-pecked milk.

Authors:  T Riordan; T J Humphrey; A Fowles
Journal:  Epidemiol Infect       Date:  1993-04       Impact factor: 2.451

6.  Diversities and similarities in PFGE profiles of Campylobacter jejuni isolated from migrating birds and humans.

Authors:  T Broman; J Waldenström; D Dahlgren; I Carlsson; I Eliasson; B Olsen
Journal:  J Appl Microbiol       Date:  2004       Impact factor: 3.772

7.  Real-time genomic epidemiological evaluation of human Campylobacter isolates by use of whole-genome multilocus sequence typing.

Authors:  Alison J Cody; Noel D McCarthy; Melissa Jansen van Rensburg; Tomide Isinkaye; Stephen D Bentley; Julian Parkhill; Kate E Dingle; Ian C J W Bowler; Keith A Jolley; Martin C J Maiden
Journal:  J Clin Microbiol       Date:  2013-05-22       Impact factor: 5.948

8.  Campylobacter jejuni is not merely a commensal in commercial broiler chickens and affects bird welfare.

Authors:  Suzanne Humphrey; Gemma Chaloner; Kirsty Kemmett; Nicola Davidson; Nicola Williams; Anja Kipar; Tom Humphrey; Paul Wigley
Journal:  MBio       Date:  2014-07-01       Impact factor: 7.867

9.  Campylobacter genotypes from food animals, environmental sources and clinical disease in Scotland 2005/6.

Authors:  Samuel K Sheppard; John F Dallas; Marion MacRae; Noel D McCarthy; E L Sproston; F J Gormley; Norval J C Strachan; Iain D Ogden; Martin C J Maiden; Ken J Forbes
Journal:  Int J Food Microbiol       Date:  2009-02-20       Impact factor: 5.277

10.  Marked host specificity and lack of phylogeographic population structure of Campylobacter jejuni in wild birds.

Authors:  Petra Griekspoor; Frances M Colles; Noel D McCarthy; Philip M Hansbro; Chris Ashhurst-Smith; Björn Olsen; Dennis Hasselquist; Martin C J Maiden; Jonas Waldenström
Journal:  Mol Ecol       Date:  2013-01-29       Impact factor: 6.185

View more
  26 in total

1.  Prevalence of Campylobacter jejuni and Campylobacter coli in captive wildlife species of India.

Authors:  A A Prince Milton; R K Agarwal; G B Priya; M Saminathan; M Aravind; A Reddy; C K Athira; T P Ramees; K Dhama; A K Sharma; A Kumar
Journal:  Iran J Vet Res       Date:  2017       Impact factor: 1.376

2.  Influence of Host Ecology and Behavior on Campylobacter jejuni Prevalence and Environmental Contamination Risk in a Synanthropic Wild Bird Species.

Authors:  Conor C Taff; Allison M Weis; Sarah Wheeler; Mitchell G Hinton; Bart C Weimer; Christopher M Barker; Melissa Jones; Ryane Logsdon; Woutrina A Smith; Walter M Boyce; Andrea K Townsend
Journal:  Appl Environ Microbiol       Date:  2016-07-15       Impact factor: 4.792

3.  Genome-Wide Identification of Host-Segregating Epidemiological Markers for Source Attribution in Campylobacter jejuni.

Authors:  Amandine Thépault; Guillaume Méric; Katell Rivoal; Ben Pascoe; Leonardos Mageiros; Fabrice Touzain; Valérie Rose; Véronique Béven; Marianne Chemaly; Samuel K Sheppard
Journal:  Appl Environ Microbiol       Date:  2017-03-17       Impact factor: 4.792

4.  Evaluation of high-resolution melt curve analysis for rapid differentiation of Campylobacter hepaticus from other species in birds.

Authors:  Petrina Young; Pol Tarce; Sadhana Adhikary; Joanne Connolly; Tim Crawshaw; Seyed A Ghorashi
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.240

5.  Estimates of the burden of illness for eight enteric pathogens associated with animal contact in Canada.

Authors:  R Murray; J Tataryn; K Pintar; M K Thomas
Journal:  Epidemiol Infect       Date:  2017-11-23       Impact factor: 4.434

6.  Epidemiology of Campylobacter jejuni infections in Sweden, November 2011-October 2012: is the severity of infection associated with C. jejuni sequence type?

Authors:  Heli Harvala; Thomas Rosendal; Elina Lahti; Eva O Engvall; Maria Brytting; Anders Wallensten; Ann Lindberg
Journal:  Infect Ecol Epidemiol       Date:  2016-04-07

7.  Source attribution of human campylobacteriosis at the point of exposure by combining comparative exposure assessment and subtype comparison based on comparative genomic fingerprinting.

Authors:  André Ravel; Matt Hurst; Nicoleta Petrica; Julie David; Steven K Mutschall; Katarina Pintar; Eduardo N Taboada; Frank Pollari
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

8.  Differential Distribution of Salmonella Serovars and Campylobacter spp. Isolates in Free-Living Crows and Broiler Chickens in Aomori, Japan.

Authors:  Masashi Okamura; Miyuki Kaneko; Shinjiro Ojima; Hiroki Sano; Junji Shindo; Hiroaki Shirafuji; Satomi Yamamoto; Taishi Tanabe; Yasuhiro Yoshikawa; Dong-Liang Hu
Journal:  Microbes Environ       Date:  2018-03-01       Impact factor: 2.912

9.  An Improved Culture Method for Selective Isolation of Campylobacter jejuni from Wastewater.

Authors:  Jinyong Kim; Euna Oh; Graham S Banting; Shannon Braithwaite; Linda Chui; Nicholas J Ashbolt; Norman F Neumann; Byeonghwa Jeon
Journal:  Front Microbiol       Date:  2016-08-26       Impact factor: 5.640

10.  Campylobacter jejuni and Campylobacter coli in wild birds on Danish livestock farms.

Authors:  Birthe Hald; Marianne Nielsine Skov; Eva Møller Nielsen; Carsten Rahbek; Jesper Johannes Madsen; Michael Wainø; Mariann Chriél; Steen Nordentoft; Dorte Lau Baggesen; Mogens Madsen
Journal:  Acta Vet Scand       Date:  2016-02-03       Impact factor: 1.695

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.