Lida Omaleki1,2,3, Patrick J Blackall1, Thom Cuddihy4,5, Rhys T White2,3, Jodi M Courtice6, Conny Turni1, Brian M Forde2,3,5, Scott A Beatson2,3. 1. Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD 4072, Australia. 2. Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD 4072, Australia. 3. Australian Infectious Diseases Research Centre, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia, QLD 4072, Australia. 4. QFAB Bioinformatics - Research Computing Centre, University of Queensland, St Lucia, QLD 4072, Australia. 5. Present address: University of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital Campus, Herston, QLD 4029, Australia. 6. Division of Research and Innovation, University of Southern Queensland, Toowoomba, QLD 4350, Australia.
Abstract
Fowl cholera caused by Pasteurella multocida has re-emerged in Australian poultry production since the increasing adoption of free-range production systems. Currently, autogenous killed whole-cell vaccines prepared from the isolates previously obtained from each farm are the main preventative measures used. In this study, we use whole-genome sequencing and phylogenomic analysis to investigate outbreak dynamics, as well as monitoring and comparing the variations in the lipopolysaccharide (LPS) outer core biosynthesis loci of the outbreak and vaccine strains. In total, 73 isolates from two different free-range layer farms were included. Our genomic analysis revealed that all investigated isolates within the two farms (layer A and layer B) carried LPS type L3, albeit with a high degree of genetic diversity between them. Additionally, the isolates belonged to five different sequence types (STs), with isolates belonging to ST9 and ST20 being the most prevalent. The isolates carried ST-specific mutations within their LPS type L3 outer core biosynthesis loci, including frameshift mutations in the outer core heptosyltransferase gene (htpE) (ST7 and ST274) or galactosyltransferase gene (gatG) (ST20). The ST9 isolates could be separated into three groups based on their LPS outer core biosynthesis loci sequences, with evidence for potential phase variation mechanisms identified. The potential phase variation mechanisms included a tandem repeat insertion in natC and a single base deletion in a homopolymer region of gatG. Importantly, our results demonstrated that two of the three ST9 groups shared identical rep-PCR (repetitive extragenic palindromic PCR) patterns, while carrying differences in their LPS outer core biosynthesis loci region. In addition, we found that ST9 isolates either with or without the natC tandem repeat insertion were both associated with a single outbreak, which would indicate the importance of screening more than one isolate within an outbreak. Our results strongly suggest the need for a metagenomics culture-independent approach, as well as a genetic typing scheme for LPS, to ensure an appropriate vaccine strain with a matching predicted LPS structure is used.
Fowl cholera caused by Pasteurella multocida has re-emerged in Australian poultry production since the increasing adoption of free-range production systems. Currently, autogenous killed whole-cell vaccines prepared from the isolates previously obtained from each farm are the main preventative measures used. In this study, we use whole-genome sequencing and phylogenomic analysis to investigate outbreak dynamics, as well as monitoring and comparing the variations in the lipopolysaccharide (LPS) outer core biosynthesis loci of the outbreak and vaccine strains. In total, 73 isolates from two different free-range layer farms were included. Our genomic analysis revealed that all investigated isolates within the two farms (layer A and layer B) carried LPS type L3, albeit with a high degree of genetic diversity between them. Additionally, the isolates belonged to five different sequence types (STs), with isolates belonging to ST9 and ST20 being the most prevalent. The isolates carried ST-specific mutations within their LPS type L3 outer core biosynthesis loci, including frameshift mutations in the outer core heptosyltransferase gene (htpE) (ST7 and ST274) or galactosyltransferase gene (gatG) (ST20). The ST9 isolates could be separated into three groups based on their LPS outer core biosynthesis loci sequences, with evidence for potential phase variation mechanisms identified. The potential phase variation mechanisms included a tandem repeat insertion in natC and a single base deletion in a homopolymer region of gatG. Importantly, our results demonstrated that two of the three ST9 groups shared identical rep-PCR (repetitive extragenic palindromic PCR) patterns, while carrying differences in their LPS outer core biosynthesis loci region. In addition, we found that ST9 isolates either with or without the natC tandem repeat insertion were both associated with a single outbreak, which would indicate the importance of screening more than one isolate within an outbreak. Our results strongly suggest the need for a metagenomics culture-independent approach, as well as a genetic typing scheme for LPS, to ensure an appropriate vaccine strain with a matching predicted LPS structure is used.
The genomic and metadata analysis of two unique sets of
isolates, both from free-range egg production farms, provides apparent explanations, based on detected diversity in the lipopolysaccharide (LPS) outer core biosynthesis loci, for the repeated vaccination failures seen on both farms. Our data revealed a high degree of sequence diversity in the LPS outer core biosynthesis loci type L3, carried by
isolates across multiple years (22 years for one farm and 9 years for the other farm). Our identification of two different potential phase variation mechanisms in the glycosyltransferase genes of the sequence type (ST)9 isolates, possibly allowing evasion of vaccine protection, is a novel finding. In addition, the phylogenomic analysis demonstrated that the 2013 outbreak in farm A was as a result of two overlapping outbreaks caused by ST9 populations carrying two different alleles of natC (phase off or phase on). These findings demonstrate the benefit of genomic analysis in providing more detailed information on the possible structure of outer LPS, which is very important for the selection of strains for use in killed autogenous fowl cholera vaccines.
Data Summary
Genome sequence data generated in this study have been deposited with the National Center for Biotechnology Information (NCBI) under BioProject accession number PRJNA643588. Raw Illumina sequence read data have been deposited in the Sequence Read Archive (SRA) under the accession numbers SRR12130700 to SRR12130770. The programs used to analyse raw sequence reads, for polymorphism discovery, and whole-genome-sequencing based phylogenies are available as described in Methods.
Introduction
Pasteurella multocida is a heterogeneous species from the family
, found on the mucosal surfaces of multiple hosts, that causes a range of markedly different diseases in endotherms, including haemorrhagic septicaemia in cattle and buffaloes, snuffles in rabbits, fowl cholera in poultry, and atrophic rhinitis in pigs [1].
.
is also known as a zoonotic agent accounting for more than 50 % of human wound infections following animal bites in the USA [2]. Fowl cholera has become a re-emerging problem in the free-range layer industry in Australia [3]. In a typical Australian free-range layer farm, hens have access to an outdoor range during the day and then stay in closed sheds at night to be safe from predators. The sheds are also equipped with special nesting boxes for the hens to lay their eggs with no feed or water outside to minimize biosecurity risks. In Australia, free-range eggs make up to 47% of the total retail egg sales currently (https://www.australianeggs.org.au/egg-industry).Fowl cholera can be an acute disease with sudden death being the first observed manifestation [1]. Chronic infection can also follow an acute disease, with recovering birds becoming the reservoir of the bacteria. Mortality can be 20 % and higher in naturally infected animals, with up to 100 % in experimental conditions [1]. Mortalities of 55 % have been reported in free-range chicken meat flocks through to processing [4].Lipopolysaccharides (LPSs) are one of the major important immunogenic virulence factors of
. Based on their LPS antigens,
strains are classified into 16 somatic (Heddleston) serovars (1 to 16) [5, 6]. Vaccination with killed whole cells has been previously thought to provide protection only against isolates of the same Heddleston serovar as present in the vaccine [1]. Eight LPS genotypes (L1 to L8), based on the LPS outer core biosynthesis loci, have been recognized in the 16 Heddleston serovar reference strains of
[7]. LPS type L3 (represented by Heddleston serovars 3 and 4) has been recognized as the most prevalent LPS type associated with fowl cholera in Australia [8, 9]. The outer core biosynthesis loci of LPS type L3 is a 6175 bp region consisting of six glycosyltransferase genes required for the assembly of the outer core. These transferase genes are htpE (required for the addition of heptose, Hep IV, the first outer core sugar), gctC (required for the addition of the two outer core glucose molecules, Glc III and Glc IV, to the heptose), gatF (required for the addition of the first galactose, Gal I, to Glc IV), gatG (required for the addition of the second galactose molecules, Gal II, to Gal I), and natB and natC (required for the addition of the two N-acetylgalactosamines, GalNAcI and GalNAcII, respectively) [8]. Analysis of the LPS from the
subspecies
strain Pm70 (GenBank accession no. AE004439) revealed the capacity to produce a full LPS [8]. There has been no published record of phase variations in switching of the glycosyltransferase gene expression of LPS outer core biosynthesis loci in
[10]. The capacity of the LPS type L3
isolates to produce one of the six possible LPS outer core structures has been previously recognized as a result of inactivating mutations, such as a frameshift or the introduction of a premature stop codon [8]. Phase variation is a mechanism of switching a gene between on and off in many host-adapted bacterial pathogens, such as non-typeable
,
,
,
and
[11].Recently, it has been shown that killed whole-cell vaccines give protection only against strains with identical or nearly identical LPS structures [12]. In Australia, multilocus sequence typing (MLST), Heddleston serotyping, and DNA genotyping by repetitive extragenic palindromic PCR (rep-PCR) fingerprinting have all been used for studies into the epidemiology of disease outbreaks, and also to guide autogenous vaccination programmes [9]. However, none of these techniques are discriminatory enough to provide the required insight into the LPS structure of the strains. Whole-genome sequencing (WGS) data are routinely used in human bacterial pathogen research to investigate strain relatedness and monitor the emergence of bacterial antimicrobial resistance and/or bacterial virulence factors [13]. Here, we use WGS to examine strain relatedness and LPS outer core biosynthesis loci of
isolates associated with fowl cholera outbreaks from two free-range layer farms over a period of either 22 years (farm A) or 9 years (farm B).
Methods
Farms and isolates
In total, 73 isolates of
associated with fowl cholera from two free-range layer farms (layer A and layer B) were included in this study. The selected farms have been using killed autogenous vaccines for prevention and control of fowl cholera. Each of the farms had several layer sheds housing the hens at night, with easy access to the open area during the day.Isolates were collected during the disease investigations through submitting chicken (Gallus gallus domesticus) carcasses or swab samples by the farm veterinarian to front-line veterinary diagnostic laboratories. The isolates were then sent to our laboratory for typing and storing, with some isolates used in killed autogenous vaccines subsequently given during the rearing stage on farms from which those isolates were sourced. The vaccination routine included administration of two doses of a killed autogenous vaccine at rearing (usually around 10 and 19 weeks of age). However, due to financial constraints linked to vaccine costs and the cost of administration of the vaccine, it was reduced to once at rearing or even eliminated from time to time. The number of available isolates per outbreak was different across the years ranging from only one isolate to multiple isolates from the same chicken and also isolates from different chickens within an outbreak (Table S1, available with the online version of this article).
Layer farm A
In total, 36 isolates, obtained from outbreaks over a 22 year period (1994 to 2016), were included in this study (Table 1). This included 17 isolates from the first two outbreaks (1994 and 2002) also described by Zhang et al. [14], together with 19 isolates from the more recent outbreaks (Tables 1 and S1).
Table 1.
Details of layer farm A fowl cholera outbreaks and the associated isolates of
Year
Outbreak isolate
no. of sheds affected
no. of isolates
no. of chickens
ST
rep-PCR pattern
LPS L3 specification
Vaccine used at rearing
1994
PM204 to PM214
1
11
4
20
Not done
gatG 14 bp deletion
Unvaccinated flock
2002
PM979 to PM984
3
6
4
20
3
gatG 14 bp deletion
Unvaccinated flock
2011
PM1533 and PM1542*
2
2
2
9
2
natC 7 bp insertion
PM979 at 12 weeks
2013
PM1775 to PM1777
2
3
3
9
1
No missense mutation
Commercial tetra-valent at 10 weeks and PM979, PM1533 at 16 weeks
PM1778†
1
2
natC 7 bp insertion
2014
PM1947 to PM1949
2
3
9
2
gatG 1 bp insertion
PM979, PM1533
2015
PM2142
na
1
1
9
1
No missense mutation
PM979, PM1542
2016
PM2232 to PM2240
na
9
6
9
1
No missense mutation
PM979, PM1947‡
na, Not available.
*PM1542 was isolated from hens of a different shed and different age to that of PM1533.
† PM1778 was isolated at the same time as PM1775 to PM1777. PM1778 also harboured a gatF E63K change compared to the 2011 strains.
‡PM979 and PM2240 were used as an autogenous bivalent vaccine after the 2016 outbreak.
Details of layer farm A fowl cholera outbreaks and the associated isolates ofYearOutbreak isolateno. of sheds affectedno. of isolatesno. of chickensSTrep-PCR patternLPS L3 specificationVaccine used at rearing1994PM204 to PM214111420Not donegatG 14 bp deletionUnvaccinated flock2002PM979 to PM984364203gatG 14 bp deletionUnvaccinated flock2011PM1533 and PM1542*22292natC 7 bp insertionPM979 at 12 weeks2013PM1775 to PM177723391No missense mutationCommercial tetra-valent at 10 weeks and PM979, PM1533 at 16 weeksPM1778†12natC 7 bp insertion2014PM1947 to PM19492392gatG 1 bp insertionPM979, PM15332015PM2142na1191No missense mutationPM979, PM15422016PM2232 to PM2240na9691No missense mutationPM979, PM1947‡na, Not available.*PM1542 was isolated from hens of a different shed and different age to that of PM1533.† PM1778 was isolated at the same time as PM1775 to PM1777. PM1778 also harboured a gatF E63K change compared to the 2011 strains.‡PM979 and PM2240 were used as an autogenous bivalent vaccine after the 2016 outbreak.The farm was a multi-age layer operation located in coastal South-East Queensland (SEQ) that continuously had chickens with no down time nor any period of total flock depopulation. In 1994, the farm had five sheds and a total of 8000 layers, expanding to 15 sheds and 50 000 layers in 2002.
Layer farm B
The second free-range layer farm (farm B) was a large company with farms located at four different sites (B1 to B4), in SEQ close to the border with New South Wales, with each site having several free-range layer sheds. In total, 37 isolates from outbreaks of fowl cholera between 2010 and 2019 were included. This total included two of the three original vaccine strains PM842 (obtained from the previously owned operation at site B5) and PM844 (obtained from the farm at site B3) associated with outbreaks in 2001 (Table 2). The third vaccine strain (PM843) was an isolate from farm B3, which was not available for WGS at the time of the current project.
Table 2.
Details of the layer farm B fowl cholera outbreaks and the associated isolates of
Farm
Year
Outbreak isolate
Age (weeks)
no. of isolates
ST
LPS type L3 specification
Vaccine used at rearing*
B5
2001
PM842
–
1
20
gatG 14 bp deletion
na
B3
2001
PM844
–
1
8
No stop codon or frame shift
na
B3
2010
PM1447
45
1
274
htpE insertion position 126
–
B3
2011
PM1541†
59
1
274
htpE insertion position 126
–
B3
2012
PM1582†
70
1
274
htpE insertion position 126
–
B3
2014
PM1845 to PM1853 and PM1855
–
10
8
No stop codon or frame shift
–
B2
2016
PM2248
62
1
20
gatG 14 bp deletion
PM842, PM843, PM1855
B4
2016
PM2290
50
1
7
htpE del position 695
PM842, PM843, PM1855
B2
2017
PM2356
50
1
20
gatG 14 bp deletion
PM842, PM843, PM1855
B1-shed1‡
2016
PM2269 and PM2305
50
2
9
natC 7 bp insertion
PM842, PM843, PM1855
B1-shed1
2017
PM2369
–
1
9
natC 7 bp insertion
PM842, PM843, PM1855
B1-shed1
2017 DEC
PM2383 to PM2391
33
9
9
natC 7 bp insertion
PM842, PM843, PM1855
B1-shed2
2018 AUG
PM2398 and PM2401
66
2
9
natC 7 bp insertion
PM842, PM843, PM1855 at rearing and then PM1855, PM2269, PM2290 at 43 weeks
B1-shed4
2018 SEP
PM2445
57
1
9
natC 7 bp insertion
PM1855, PM2269, PM2290
B1-shed3
2019
PM2470 and PM2585 to PM2587
66
4
9
natC 7 bp insertion
PM1855, PM2269, PM2290
na, Not available.
*The vaccine strain in bold font has the 14 bp deletion in the gatG gene, so should have theoretically protected against the 2016 and 2017 outbreaks in B2. These birds were vaccinated twice at 9 and 13 weeks old. The vaccine strain in underlined font had the 7 bp insertion in the natC gene.
†PM1541 and PM1582 were isolated from the same flock at different ages.
‡Eight sheds in total were suffering from fowl cholera in farm B1 from late 2016 to August 2017.
Details of the layer farm B fowl cholera outbreaks and the associated isolates ofFarmYearOutbreak isolateAge (weeks)no. of isolatesSTLPS type L3 specificationVaccine used at rearing*B52001PM842–120gatG 14 bp deletionnaB32001PM844–18No stop codon or frame shiftnaB32010PM1447451274htpE insertion position 126–B32011PM1541†591274htpE insertion position 126–B32012PM1582†701274htpE insertion position 126–B32014PM1845 to PM1853 and PM1855–108No stop codon or frame shift–B22016PM224862120gatG 14 bp deletionPM842, PM843, PM1855B42016PM22905017htpE del position 695PM842, PM843, PM1855B22017PM235650120gatG 14 bp deletionPM842, PM843, PM1855B1-shed1‡2016PM2269 and PM23055029natC 7 bp insertionPM842, PM843, PM1855B1-shed12017PM2369–19natC 7 bp insertionPM842, PM843, PM1855B1-shed12017 DECPM2383 to PM23913399natC 7 bp insertionPM842, PM843, PM1855B1-shed22018 AUGPM2398 and PM24016629natC 7 bp insertionPM842, PM843, PM1855 at rearing and then PM1855, PM2269, PM2290 at 43 weeksB1-shed42018 SEPPM24455719natC 7 bp insertionPM1855, PM2269, PM2290B1-shed32019PM2470 and PM2585 to PM25876649natC 7 bp insertionPM1855, PM2269, PM2290na, Not available.*The vaccine strain in bold font has the 14 bp deletion in the gatG gene, so should have theoretically protected against the 2016 and 2017 outbreaks in B2. These birds were vaccinated twice at 9 and 13 weeks old. The vaccine strain in underlined font had the 7 bp insertion in the natC gene.†PM1541 and PM1582 were isolated from the same flock at different ages.‡Eight sheds in total were suffering from fowl cholera in farm B1 from late 2016 to August 2017.
LPS typing and DNA fingerprinting
Genomic DNA of all the isolates was prepared using the PrepMan ultra sample preparation reagent (Life Technology; Applied Biosystems). The isolates were subjected to LPS multiplex-PCR [7], as well as rep-PCR [15].
WGS
DNA was extracted using a DNeasy UltraClean microbial kit (Qiagen), according to the manufacturer’s instructions, from overnight cultures grown on 5 % sheep blood agar. The DNA samples were then sequenced on an Illumina NextSeq 500 platform (150 bp paired ends) by the Australian Centre for Ecogenomics Sequencing Service at the University of Queensland (St Lucia, QLD 4072, Australia). Trimmomatic v0.36 [16] was used for filtering the raw reads, with the quality of the reads assessed before and after filtering using FastQC v0.11.5 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). SPAdes v3.10.1 [17] was used for de novo assemblies. In silico MLST [18] profiling was performed using mlst v2.8 (https://github.com/tseemann/mlst) and the
RIRDC-MLST scheme [19]. blastn v2.2.31+ was used to perform in silico LPS typing by extraction of the LPS region from the draft assemblies as previously described [20]. Geneious Prime v2020.2.2 (https://www.geneious.com) was used for annotation of the region with implemented ClustalW v2.1 [21] for performing the alignments. The Nesoni v0.132 (https://github.com/Victorian-Bioinformatics-Consortium/nesoni) pipeline was used, implementing Bowtie 2 [22, 23], for mapping the trimmed paired-end reads to the chromosome of Pm70. BamView [24] implemented in Artemis v16.0.0 [25] was used to view the read pile-ups.To investigate the relationship between the isolates from the two farms and other
strains, 40 complete genomes in total were obtained from GenBank using ncbi-genome-download (https://github.com/kblin/ncbi-genome-download). quast v5.0.2 [26] was used for quality assessment of the assemblies. FastTree implemented in Parsnp v1.2 [27] was used for core-genome alignment of the draft genome assemblies. Phylogenetic analysis was performed using RAxML v8.2.9 [28] with a general-time reversible nucleotide substitution model with a gamma correction for site variation for tree reconstruction (bootstrap 1000 with Lewis ascertainment correction). The core-genome assemblies of the
isolates within each farm, as well as those from the same MLST across the two investigated farms, were further investigated. To do this, Gubbins v2.1.0 [28] was used for removing the recombination sites in the core-genome SNP alignment, followed by masking the recombination output into the original core genome alignments using maskrc-svg (https://github.com/kwongj/maskrc-svg). This was then followed by phylogenetic analysis using RAxML as described above. The generated phylogenetic trees were visualized using FigTree v1.4.2 (http://tree.bio.ed.ac.uk/software/figtree/) and Phandango [29].
Results
Layer farm A outbreak history and vaccination programmes
Since 1994, seven outbreaks of fowl cholera (1994, 2002, 2011, 2013, 2014, 2015 and 2016) have been reported on farm A. The 1994 outbreak occurred in an unvaccinated flock. Vaccination was introduced after this outbreak, but was discontinued in 2000 after a 6 year absence of disease. Following the 2002 outbreak, an autogenous killed fowl cholera vaccine based on isolate PM979 from the 2002 outbreak was used twice during rearing. However, due to financial constraints, the vaccination schedule was changed to once at 12 weeks of age and fowl cholera re-emerged on the farm in 2011. After the re-emergence of the disease in 2011, isolate PM1533 was included together with PM979 as a bivalent autogenous killed vaccine. This decision was based on the serotyping assay done at the time that identified PM979 as Heddleston serovar 4 and PM1533 as Heddleston serovar 3 (Table S1). In October 2013, at least two of the sheds, with 37- and 51-week-old birds, were affected by fowl cholera despite the routine vaccination (Table 1, Fig. 1). The chickens were vaccinated with a commercial tetra-valent (non-autogenous) vaccine at 10 weeks of age and the bi-valent killed autogenous vaccine (PM979 and PM1533) at 16 weeks of age. Comparison of the rep-PCR profiles of the four 2013 outbreak isolates with the autogenous vaccine strains indicated that three of the isolates (PM1775 to PM1777) produced a different, albeit closely related, fingerprint (rep-PCR type 1 in Fig. 2a) to that of vaccine strain PM1533 (rep-PCR type 2 in Fig. 2a). The fourth 2013 field isolate (PM1778) had the same rep-PCR profile as vaccine strain PM1533 (rep-PCR type 2). The rep-PCR fingerprint of vaccine strain PM979 was not seen in the field isolates. However, all four 2013 isolates were identified as Heddleston serovar 3 by gel immunoprecipitation assay (Table S1) and LPS type L3 via LPS multiplex-PCR (Table 1). Therefore, a decision was made not to make any changes in the vaccine. In October 2014, another outbreak occurred in two flocks that were 47 (isolates PM1947 and PM1948) and 54 (isolate PM1949) weeks of age. Older flocks also present on the farm did not show any signs of the disease. The rep-PCR fingerprinting showed that these 2014 isolates shared the same fingerprint (rep-PCR type 2) as PM1778 from the 2013 outbreak and PM1533 (the autogenous vaccine strain adopted after the 2011 outbreak). A decision was made to substitute PM1533 with PM1542, a 2011 isolate known to have the same rep-PCR fingerprint as PM1533, in the autogenous vaccine (Fig. 2b). Following the 2015 outbreak from which the laboratory received only one isolate (PM2142) (Table 1), the vaccine was changed again to contain PM979 and PM1947. However, the 2016 outbreaks following this change yielded isolates that all shared the same rep-PCR as the 2013 isolates, i.e. rep-PCR type 1 (Fig. 2c, d). This necessitated a change in the autogenous vaccine in 2017, removing PM1947 and substituting in PM979 and PM2240 (the latter being a 2016 outbreak isolate).
Fig. 1.
Schematic diagram showing the LPS outer core biosynthesis loci type L3 subtypes of the isolates observed in farm A and the vaccine strains used during rearing. (a) Comparisons of the four major different LPS type L3 genotypes with that of
strain Pm70 known to produce a fully expressed LPS type L3 outer core [8]. The nucleotide sequence of LPS from Pm70 is set as the reference. The top grey bar next to each outbreak strain (coloured circles) depicts the nucleotide sequence and the lower one depicts the amino acid translation. Black vertical lines within the grey bars show areas of difference between the sequence of each outbreak strain and that of Pm70. The green arrows show insertion sites and the red arrows show the deletion sites. The proposed outer structure is depicted on the left and is adapted from Harper et al. (2015) [7], with the dashed line separating inner core from outer core LPS. The white circle represents heptose, the blue circle represents glucose, the yellow circle represents galactose and the yellow box represents GalNAc. (b) Comparison between the outbreak strains (coloured circles) and vaccine strains (coloured rectangles) since the 2011 outbreak in layer A. Each circle represents one bacterial sample as described in Table 1.
Fig. 2.
Rep-PCR analysis of the outbreak
isolates (black font) and the vaccine strains (red font) used at the time on layer farm A. (a) A new rep-PCR type emerged in 2013 (rep-PCR type 1 – PM1775, PM1776, PM1778) with only one band difference with rep-PCR type 2 (PM1778) covered by the vaccine strain PM1533. The two rep-PCR types observed in the 2013 outbreak isolates showed only a one band difference (red box). (b) The 2014 isolates (PM1947, PM1948, PM1949) showed the same rep-PCR pattern (rep-PCR type 2) as the vaccine strain (PM1553). However, the genomic results showed that they had the capacity to produce a shorted LPS outer core compared to PM1533. (c, d) The rep-PCR pattern seen in 2013 (rep-PCR type 1) reappeared in the 2016 outbreak isolates (PM2240, PM2233, PM2232, PM2142). Lanes a, 1 kb plus DNA ladder (Invitrogen) – the annotated band sizes are in bp.
Schematic diagram showing the LPS outer core biosynthesis loci type L3 subtypes of the isolates observed in farm A and the vaccine strains used during rearing. (a) Comparisons of the four major different LPS type L3 genotypes with that of
strain Pm70 known to produce a fully expressed LPS type L3 outer core [8]. The nucleotide sequence of LPS from Pm70 is set as the reference. The top grey bar next to each outbreak strain (coloured circles) depicts the nucleotide sequence and the lower one depicts the amino acid translation. Black vertical lines within the grey bars show areas of difference between the sequence of each outbreak strain and that of Pm70. The green arrows show insertion sites and the red arrows show the deletion sites. The proposed outer structure is depicted on the left and is adapted from Harper et al. (2015) [7], with the dashed line separating inner core from outer core LPS. The white circle represents heptose, the blue circle represents glucose, the yellow circle represents galactose and the yellow box represents GalNAc. (b) Comparison between the outbreak strains (coloured circles) and vaccine strains (coloured rectangles) since the 2011 outbreak in layer A. Each circle represents one bacterial sample as described in Table 1.Rep-PCR analysis of the outbreak
isolates (black font) and the vaccine strains (red font) used at the time on layer farm A. (a) A new rep-PCR type emerged in 2013 (rep-PCR type 1 – PM1775, PM1776, PM1778) with only one band difference with rep-PCR type 2 (PM1778) covered by the vaccine strain PM1533. The two rep-PCR types observed in the 2013 outbreak isolates showed only a one band difference (red box). (b) The 2014 isolates (PM1947, PM1948, PM1949) showed the same rep-PCR pattern (rep-PCR type 2) as the vaccine strain (PM1553). However, the genomic results showed that they had the capacity to produce a shorted LPS outer core compared to PM1533. (c, d) The rep-PCR pattern seen in 2013 (rep-PCR type 1) reappeared in the 2016 outbreak isolates (PM2240, PM2233, PM2232, PM2142). Lanes a, 1 kb plus DNA ladder (Invitrogen) – the annotated band sizes are in bp.
Layer farm B outbreak history and vaccination programmes
The original vaccine strains used across different sites of the company were obtained from outbreaks of fowl cholera in 2001, with PM842 obtained from a previously owned farm (B5), and PM843 and PM844 from farm B3. In 2001, the farm at site B3 was not a free-range farm and only contained breeders in sheds, while B5 was a free-range layer farm. There was a transfer of nest boxes from B3 to B5 and eggs from both farms were sent to the same hatchery. The two farms were 100 km apart, with farm B3 later populated with layers in sheds. Initially, the fowl cholera vaccine was administered twice during rearing (typically at 9 and 12 weeks of age) which, since 2003, became once between 8–13 weeks of age for cost reasons. In mid 2010, farm B3 became a free-range layer farm, with three production sheds and one rearing shed.The first of the series of recent outbreaks on farm B3 was recognized in November 2010 with
isolated from the heart sac and peritoneal cavity (PM1447) (Table 2). The outbreak happened in a shed containing 17 400 45-week-old hens. The total mortality from 16 to 76 weeks of age was 16 % in this shed. The second confirmed outbreak happened in another shed on the B3 farm, in September 2011, with isolate PM1541 obtained from the subcutaneous tissue of a hen with a swollen face and wattle. The third confirmed outbreak was the reappearance of the disease in this second shed with birds at 70 weeks of age in January 2012, with again only one isolate sent for analysis (PM1582). This shed had a total mortality of 10 % up to processing. This was followed by another outbreak in 2014 on farm B3 from which
isolates from 10 different birds were available.The first outbreak on farm B1 happened in December 2016 in one shed (B1-shed1) (Table 2), followed by outbreaks in many other sheds involving chickens between 33 to 66 weeks of age. Isolates from four different sheds (B1-shed1 to B1-shed 4) were collected by the farm veterinarian and included in the current study (Table 2). The chickens were vaccinated once at 11–14 weeks of age with an autogenous vaccine containing PM842, PM843 and PM1855. The vaccination was then changed to twice at rearing for the flocks in 2017 with the same vaccine. The flocks then received a boost at week 43 with a new vaccine containing PM1855, PM2269 and PM2290 in 2018. From October 2018, all new flocks received the new vaccine; however, fowl cholera cases still occurred despite two vaccinations during rearing (B1-shed3 and -shed4). PM2269 was later replaced by PM2445 in the trivalent vaccine.Outbreaks on farm B2 were recorded in September 2016 (isolate PM2248) and October 2017 (PM2356). The only recorded outbreak on farm B4 was in 2016 (PM2290). These two farms (B2 and B4) were also using the same vaccination routine as farm B1 at rearing.
Population level genomic analysis and in silico MLST and LPS typing
In this work, WGS was used to contextualize the isolates within the known population structure of
by core-genome SNP analysis of 39 publicly available complete genomes, with the genome of Pm70 as a reference (Table S2). Maximum-likelihood phylogenetic analysis of core-genome SNPs clustered isolates into well-supported clades, largely consistent with sequence type (ST), distributed throughout the
species tree (Fig. 3). Of the STs identified in this study, the ST7 and ST20 clades showed the closest phylogenetic relationship with ST20s, having a mean of 2710 (sd ±49.5) core-genome SNPs to ST7 while between 11 489 and 41 589 core-genome SNPs to the isolates from other STs. This was consistent with the similarity in their respective ST profiles (triple locus variants with different alleles for gdh, pgi and pmi). ST274 was the most divergent with a mean pair-wise SNP distance of 39 731 to strain Pm70, forming an outgroup clade together with GenBank isolates that could not be assigned to any known ST within the RIRDC scheme (Fig. 3). The ST9 clade included the Pm70 genome and isolates from both layer A and B farms clustered together (Fig. 3).
Fig. 3.
Maximum-likelihood tree of the core-genome SNPs of
isolates from the two investigated free-range layer farms (red font) compared to those of the complete genomes obtained from GenBank. The tree is rooted at the midpoint, which corresponds to the actual root, by
strain HL268 (GenBank accession no. CP083262), which has been omitted for visualization. In total, 84 708 SNPs were identified from the 1 470 156 bp core-genome alignments using the genome of
strain Pm70 as the reference. Bar, number of substitutions per site.
Maximum-likelihood tree of the core-genome SNPs of
isolates from the two investigated free-range layer farms (red font) compared to those of the complete genomes obtained from GenBank. The tree is rooted at the midpoint, which corresponds to the actual root, by
strain HL268 (GenBank accession no. CP083262), which has been omitted for visualization. In total, 84 708 SNPs were identified from the 1 470 156 bp core-genome alignments using the genome of
strain Pm70 as the reference. Bar, number of substitutions per site.On layer farm A, the in silico MLST recognized that isolates from the earlier outbreaks (1994 and 2002) all belonged to ST20, while all isolates from the 2011 outbreak onwards belonged to ST9. However, in silico MLST typing identified five distinct STs (ST7, ST8, ST9, ST20 and ST274), between 2001 and 2019 in the layer B complex. While belonging to different STs, all the isolate genomes from the two investigated farms and 21 of the 39 complete genomes were predicted to encode LPS type L3.
Layer farm A genomic analysis
Phylogenomic analysis of ST20 isolates from farm A identified two well-supported clades, which corresponded to respective outbreaks in 1994 and 2002 (Fig. 4a). Isolates from these two outbreaks were highly similar at the core-genome level with a mean pair-wise non-recombinant SNP distance of 11.8 (sd ±10.6). The phylogeny also revealed that both outbreaks shared a common ancestor, rather than the 2002 outbreak isolates being directly descended from the 1994 outbreak. For the 2002 outbreak isolates to have directly descended from the 1994 isolates, the 2002 isolates would have to form a sub-tree of the 1994 isolates, which they clearly do not.
Fig. 4.
Maximum-likelihood analysis of the
isolates from layer farm A with filtered recombination sites. (a) Maximum-likelihood analysis of the core-genome SNPs of the ST20 isolates. PM204 was identical to PM206, PM207, PM213 and PM214 at the core-genome level. PM979 was identical to PM980 and PM982 at the core-genome level. In total, 107 non-recombinant core-genome SNPs were identified using strain CQ7 as the outgroup. (b) Maximum-likelihood tree of the core-genome SNPs of the ST9 isolates. PM1776 and PM1777 were identical at the core-genome level. In total, 220 non-recombinant core-genome SNPs were identified using strain Pm70 as the outgroup. *, The LPS outer core biosynthesis loci of Pm70 harboured two SNPs with the outbreak isolates. Bar, number of substitutions per site.
Maximum-likelihood analysis of the
isolates from layer farm A with filtered recombination sites. (a) Maximum-likelihood analysis of the core-genome SNPs of the ST20 isolates. PM204 was identical to PM206, PM207, PM213 and PM214 at the core-genome level. PM979 was identical to PM980 and PM982 at the core-genome level. In total, 107 non-recombinant core-genome SNPs were identified using strain CQ7 as the outgroup. (b) Maximum-likelihood tree of the core-genome SNPs of the ST9 isolates. PM1776 and PM1777 were identical at the core-genome level. In total, 220 non-recombinant core-genome SNPs were identified using strain Pm70 as the outgroup. *, The LPS outer core biosynthesis loci of Pm70 harboured two SNPs with the outbreak isolates. Bar, number of substitutions per site.All isolates from the subsequent outbreaks (2011 to 2016) were ST9 and, thus, unrelated to the 1994 and 2002 outbreaks (Fig. 3). With a mean pair-wise non-recombinant SNP distance of 27.8 (sd ±13.9), the ST9 inter-host divergence was comparable to that seen in the ST20 isolates. However, in contrast to ST20, there was some phylogenetic evidence for the ST9-linked isolates for the sequential emergence of outbreaks from a common source. Two of the most basal ST9 taxa are isolates from the 2011 outbreak (PM1533 and PM1542), branching prior to a well-supported clade comprising all but one later isolate (PM1778). Within this large clade, sub-clade 2a contained all 2014 outbreak isolates, and sub-clade 2b contained 2013 (PM1775, PM1776, PM1777), 2015 (PM2142) and all 2016 outbreak isolates (Fig. 4b). However, the finding that 2013 isolates were not monophyletic (see, for example, PM1778 and PM1775), suggests that there were two overlapping outbreaks in 2013, involving closely related but genetically distinct ST9 populations, each potentially expressing different LPS structures (Fig. 4b). Collectively, these results point to an ongoing source of ST9
established prior to 2011, which has seeded outbreaks in 2011 (PM1533, PM1542), 2013 (PM1775–PM1778) and 2014 (PM1947–PM1949), with the 2015 (PM2142) and 2016 outbreaks (PM2232–PM2240) directly linked to three of the isolates associated with the 2013 outbreaks (PM1775–PM1777) (Fig. 4b).The LPS in silico typing revealed that, while all of the tested isolates within the two study farms carried LPS type L3, the nucleotide sequence of their LPS outer core biosynthesis loci was quite diverse and would be predicted to produce different LPS structures. When compared to the LPS type L3 locus of
strain Pm70, all ST20 isolates from the two farms had a 14 bp deletion within gatG (positions 491 to 505), and a 1 bp insertion within natC (313_314insA).The ST9 isolates from farm A had three variant LPS outer core biosynthesis loci, each with a predicted different LPS structure, consistent with the ST9 phylogeny (Fig. 4b). The first ST9 variant is defined by a 7 bp sequence insertion (TTATTAT) in natC (position 730). This mutation is a single copy duplication of one half of an imperfect tandem repeat in Pm70 natC, producing a three-unit tandem repeat array (5′-TTAATAT-TTATTAT-TTATTAT-3′) in the most basal ST9 taxa (isolates PM1533 and PM1542 from 2011, and PM1778 from 2013). This 7 bp sequence is absent in all other ST9 isolates, suggesting that reversion to the Pm70 wild-type sequence in clade 2 isolates has occurred following deletion of a 7 bp repeat in natC. The 2014 outbreak isolates (clade 2a) also harboured a 1 bp deletion at position 722 of gatG (721_723delA) that was not present in clade 2b isolates (Fig. 4b). The observation that these mutations occur within a 7 bp tandem repeat array and a homopolymer tract, respectively, suggests that they are potential phase variation mechanisms. While the gatG deletion appears to have arisen only in the 2014 clade, the confinement of the natC insertion to the most basal taxa suggests that this mutation was ancestral and reversion to wild-type (through deletion of a 7 bp repeat) occurred prior to divergence of the two major ST9 sub-clades (2a and 2b).
Layer farm B genomic analysis
Phylogenomic analysis of the isolates from the four sites of farm B (B1–B4) with fowl cholera outbreaks examined in this study clustered them into four distinct clades consistent with ST (Fig. 5a, b): (i) three ST274 isolates, collected from chickens at farm B3 during outbreaks of fowl cholera during three successive years – 2010 (PM1447), 2011 (PM1541) and 2012 (PM1582); (ii) ST8 isolates including the original vaccine strain PM844 obtained in 2001 from B3, and the 2014 outbreak isolates obtained from the same farm 13 years later (PM1845 to PM1855); (iii) a single ST7 isolate, PM2290 (the only isolate from farm B4) and three ST20 isolates (PM842, PM2248 and PM2356 – PM842 being one of the original vaccine strains, and PM2248 and PM2356 were from farm B2 during the 2016 and 2017 outbreaks, respectively); and (iv) 19 ST9 isolates from four different sheds of farm B1 from 2016 to 2019. This farm had recurring outbreaks of fowl cholera since 2016 despite routine vaccinations.
Fig. 5.
Genomic relatedness of the isolates from the layer B complex. (a) Phylogenetic tree of the isolates obtained from all four farms across the complex between 2010 and 2019. In total, 62 753 non-recombinant core-genome SNPs were identified using ST274 isolates as the outgroup. PM2585 was identical to PM2586 and PM2587 at the core-genome level. Bar, number of substitutions per site. (b) Schematic diagram representing the distance between the four farms. Coloured circles represent the major mutations in the LPS type 3 carried by the isolates obtained from each farm. (c) Minimum spanning tree of the core-genome SNPs of ST9 isolates obtained from B1 across the years and different sheds. Each circle represents an isolate as described in Table 2. The internal circle colour represents the year of isolation, the external circle colour represents the shed that the isolates came from. Shed 1 and shed 4 isolates are differentiated with dashed outer circles from the other two sheds (Table S1). * PM2269 also carried an amino acid change in the gatG relative to the other ST9 isolates from layer farm B.
Genomic relatedness of the isolates from the layer B complex. (a) Phylogenetic tree of the isolates obtained from all four farms across the complex between 2010 and 2019. In total, 62 753 non-recombinant core-genome SNPs were identified using ST274 isolates as the outgroup. PM2585 was identical to PM2586 and PM2587 at the core-genome level. Bar, number of substitutions per site. (b) Schematic diagram representing the distance between the four farms. Coloured circles represent the major mutations in the LPS type 3 carried by the isolates obtained from each farm. (c) Minimum spanning tree of the core-genome SNPs of ST9 isolates obtained from B1 across the years and different sheds. Each circle represents an isolate as described in Table 2. The internal circle colour represents the year of isolation, the external circle colour represents the shed that the isolates came from. Shed 1 and shed 4 isolates are differentiated with dashed outer circles from the other two sheds (Table S1). * PM2269 also carried an amino acid change in the gatG relative to the other ST9 isolates from layer farm B.Comparisons between the LPS outer core biosynthesis loci revealed that isolates from each ST carried distinct genetic mutations in their LPS type L3 outer core biosynthesis loci (Fig. 5a). The ST274 and ST7 isolates carried an insertion at different positions of htpE, positions 695 and 126, respectively; each causing frameshifts predicted to result in early termination of HtpE translation. This would result in production of a fully truncated LPS with no outer core, as previously described in other htpE mutants [8]. All three ST20 isolates from layer B were identical in their LPS outer core biosynthesis loci to those from layer A. The ST8 isolates appeared to have 44 SNPs in their LPS outer core biosynthesis loci relative to Pm70; however, no frameshift mutations were identified in the region.Although the ST9 isolates had an LPS sequence near identical to that of Pm70 in five of the glycosyltransferase genes, all carried the three-unit tandem repeat array identified in the natC region of ST9 isolates from layer farm A. In contrast to layer farm A, all the layer farm B ST9 isolates, except PM2269, also carried an amino acid change in their gatG gene, relative to Pm70 (C128Y).ST9 isolates in farm B1 shared a mean of 14.7 (sd ±5.2) non-recombinant core-genome SNPs to each other, with isolates obtained from the same outbreak in shed 1 (April 2018) sharing between 4 and 22 non-recombinant SNPs. Further genomic investigation of ST9 isolates from shed 1 in farm B1 revealed phylogenetic relationships consistent with an ongoing source of
, with isolates from this particular shed being the source of outbreaks in the other three investigated sheds (Fig. 5c). Three of the four 2019 isolates from one flock in farm B1-shed 3 (PM2585, PM2586, PM2587) were most closely related to a 2016 isolate from shed 1 (PM2305), suggesting direct transmission between the sheds. The fourth isolate, PM2470, was apparently indirectly transmitted from shed 1 via shed 2, being most closely related to PM2401.
Comparisons across layer farms A and B
Comparison of the tree topology of ST20 and ST9 isolates from both farms revealed ST-specific differences in the farm of origin. The ST20 isolates fell into two distinct clades, with the 1994 farm A isolates more closely related to isolates from farm B than to the 2002 farm A isolates (Fig. 6). The isolates obtained in 1994 from farm A had between 6 and 8 core-genome SNPs to PM842 (farm B5), and between 15 to 17 SNPs to isolate PM2248 (farm B5), compared with 26 to 29 core-genome SNPs with 2002 farm A isolates. Together, these results suggest outbreaks on farm A in 1994 and farm B in 2001 shared a common ancestor. In contrast to ST20, all ST9 isolates clustered into two well-supported clades according to their farm of origin (Fig. 7). This phylogenetic relationship supports the hypothesis that the three-unit tandem repeat array in natC was ancestral in ST9, with post-2013 outbreaks on farm A being dominated by a strain in which there is a reversion to wild-type (two-unit tandem repeat) (Fig. 7).
Fig. 6.
Maximum-likelihood analysis of the ST20 isolates from layer farms A and B. PM210 was identical to PM209 and PM211 at the core-genome level. PM204 was identical to PM205, PM206, PM207, PM212, PM213 and PM214 at the core-genome level. PM979 was identical to PM980 and PM982 at the core-genome level. The tree was rooted with isolate CQ7 as the outgroup, with a total number of 111 non-recombinant SNPs identified. Bar, number of substitutions per site.
Fig. 7.
Maximum-likelihood analysis of the ST9 isolates obtained from layer farms A and B. In total, 325 non-recombinant SNPs were identified. The tree was rooted with isolate Pm70 as the outgroup. Bar, number of substitutions per site.
Maximum-likelihood analysis of the ST20 isolates from layer farms A and B. PM210 was identical to PM209 and PM211 at the core-genome level. PM204 was identical to PM205, PM206, PM207, PM212, PM213 and PM214 at the core-genome level. PM979 was identical to PM980 and PM982 at the core-genome level. The tree was rooted with isolate CQ7 as the outgroup, with a total number of 111 non-recombinant SNPs identified. Bar, number of substitutions per site.Maximum-likelihood analysis of the ST9 isolates obtained from layer farms A and B. In total, 325 non-recombinant SNPs were identified. The tree was rooted with isolate Pm70 as the outgroup. Bar, number of substitutions per site.
Discussion
Fowl cholera is a major threat to the rapidly growing poultry industries in Australia [3] and other countries [1]. It has always been a problem in backyard poultry throughout the world, and, in developed countries, the recent shift to free-range/organic meat and egg production has resulted in a marked increase in the prevalence of fowl cholera in both chicken meat (broilers) and egg producing (layers) flocks [3]. The aim of this study was to provide some insight into the genetic diversity between outbreaks of fowl cholera as well as vaccination failure against this disease in two separate free-range layer farms.Five different
MLST types (ST7, ST8, ST9, ST20 and ST274) were identified in association with fowl cholera on the layer B farms across 17 years, while only two (ST9 and ST20) were identified on layer farm A over a 22 year period. However, all 68 isolates from these two farms examined in this study harboured LPS outer core biosynthesis loci type L3, in line with previous observations [8, 9]. In addition, this study demonstrates that different genetic lineages of
have the capacity to carry this LPS type, supporting a role of horizontal gene transfer in the evolution of the LPS outer core biosynthesis loci, as suggested previously [4, 30].The LPS type L3 outer core biosynthesis loci consist of six glycosyltransferase-encoding genes named htpE, gctC, gatF, natB, gatG and natC [8]. Major genetic mutations in natC, gatG and htpE and their associations with producing truncated LPS outer core have been reported [8]. In the current study, our genomic analysis identified new genetic disruptions in these three glycosyltransferase genes, as well as the previously reported deletion in the gatG gene of the ST20 isolates [4, 8]. No missense genetic mutations resulting in a frameshift or introduction of a premature stop codon were found in the other three glycosyltransferase genes natB, gatF and gctC, in agreement with previously published data [8].Previously, using restriction endonuclease analysis (REA), the persistence of a single strain of
on farm A for over 10 years had been reported [14]. However, our genomic results disagreed with this finding and demonstrated that the isolates from farm A were not a single strain. Indeed, all the ST20 isolates from the 1994 outbreak on farm A were more closely related to those of the 2001 isolate from farm B5 and 2016 isolates from farm B2 than to isolates from the 2002 farm A outbreak. This finding demonstrates the far greater richness of understanding that is possible with genomic analysis as compared with techniques such as REA.The ST9 isolates on farm A, first detected in 2011 (strain PM1533), are only distantly linked to the ST20 isolates of the same farm (see Fig. 3) and, thus, are clearly a result of introduction of a new strain into the chicken population. The ST9 isolates were all obtained during the more recent outbreaks that emerged after almost a 10 year period where the farm was able to limit any impact of fowl cholera using a killed autogenous vaccine based on an ST20 isolate. However, diversity was observed in the LPS type L3 carried by the ST9 isolates on farm A with two putative novel phase variation mechanisms identified, none of which could be detected by any of the other currently in-use typing techniques. The first involved a tandem repeat insertion in the natC gene of the 2011 isolates (responsible for switching the natC gene off, predicting a failure to add the second N-acetylgalactosamine, GalNAcII, to the LPS outer core). The second mechanism was a 1 bp deletion in a homopolymer region of the gatG of the 2014 isolates (responsible for switching off the addition of the second galactose, GalII), while having the natC gene switched on. In 2013, while one ST9 isolate (PM1778) shared the tandem repeat insertion with the 2011 isolates, the other three isolates obtained from two other chickens (PM1775, PM1776 and PM1777) lacked the insertion in natC and carried LPS outer core biosynthesis loci that were identical to each other and those from isolates obtained in 2015 and 2016. These results suggest that there was a reversion to a wild-type functional natC gene, which would result in a full-length LPS structure. Identification of the co-existence of isolates with their natC gene switched on or off from a single outbreak in this farm is a novel and important finding. The introduction of PM1533, an isolate with the natC allele carrying the tandem repeat insertion (switched off), in the vaccine since 2011 was followed by identification of isolates carrying the switched on natC allele, as well as those carrying the single nucleotide putative phase variation in their gatG gene. This finding shows the capacity of
to switch a glycosyltransferase gene on or off under pressure, such as that caused by a vaccination programme. This result shows the importance of investigating more than a single isolate per shed/flock to obtain the information on the possible diversity in the LPS outer core structure.Phase variation has been identified in a number of LOS outer core biosynthesis loci of
including galactosyltransferase, glucosyltransferase and O-acetylase [31, 32]. We have previously reported a virulence-related phase variation in the latB gene of
isolates carrying LPS type L4, associated with captive Petaurus norfolcensis (squirrel gliders) [20].The phylogenetic analysis of ST9 isolates from the two farms confirmed that the tandem repeat insertion was acquired prior to the introduction of the organism into each farm, as it is split across the root of the tree and appeared in the most basal taxa of layer farm A isolates. On farm A, the organism reverted to wild-type by deleting a repeat, perhaps as a result of vaccination pressure.Importantly, analysis of the sequence data indicated that for the 2011, 2013, 2014, 2015 and 2016 outbreaks, the LPS type L3 genotype of the field isolates was not represented in the vaccines used at the time. In particular, for the 2011, 2013, 2015 and 2016 outbreaks, at least one or more of the outbreak isolates were predicted to produce an LPS structure that was longer than any produced by the vaccine strains due to reversion to a wild-type natC. It now known that killed fowl cholera vaccines provide protection only against challenge from isolates with an identical LPS structure [12]. Hence, this difference in LPS structure between the vaccine and the field challenge may underpin the failure of the vaccination programme to provide protection. It is important to note that our genomic analysis suggests that the field isolates from the 2014 outbreak had the same LPS structure as the vaccine strain PM979, having a frameshift in their gatG gene, albeit at different positions. Hence, in theory, the outbreak should not have occurred as the vaccine was capable of providing protection. This suggests other factors such as stress, possible poor vaccination protocols of the vaccination crew, timing of the vaccination and/or waning immunity have a role to play in the occurrence of fowl cholera outbreaks in the face of a theoretically effective vaccination programme. These results highlight the importance of monitoring the predicted LPS structure as part of a
vaccination programme.The layer farm B isolates could be divided into five different groups based on presence or absence of major genetic mutations in their LPS outer core biosynthesis loci. LPS type L3 carrying isolates of
belonging to ST7 and ST20 were previously identified in association with both pig and poultry hosts, with ST7 isolates also reported from fatal pasteurellosis in captive pinnipeds [33]. The isolates from these two closely related STs appear to carry different missense mutations in their glycosyltransferase genes. These differences were predicted to produce a different LPS outer structure with the only ST7 isolate from this farm having the capacity to produce a fully truncated LPS due to a newly identified missense mutation in htpE. In contrast, the ST20 isolates carried a missense mutation in gatG, and were predicted to produce an LPS that would end after the addition of the first galactose molecule, i.e. Hep.[Glc].Glc.Gal, as has been reported [4, 8]. We have previously reported a frameshift in the coding region of the gatG gene of ST7
isolates obtained from diseased pinnipeds in SEQ [33]. These results indicate that ST7
isolates have the capacity to produce different LPS structures within an LPS PCR type, a capacity also shared with the ST9
isolates described in the current study.The observed diversity between the isolates from different sites of the layer company B would make choosing a single autogenous vaccine to be used across all the farms of the complex very challenging. In addition to that, our data suggest that phase variations could contribute to the challenges faced in controlling fowl cholera caused by
. The presence of phase variable genes has been found to play a role in generating phenotypic variants within bacterial populations such as
and
[34, 35]. Similarly, our data suggested that phase variation could be contributing to LPS variation/diversity in
and provide the genetic mechanism for vaccine escape. No allelic difference was observed in the LPS type L3 outer core biosynthesis loci carried by the ST9 isolates of layer farm B1, unlike those of layer farm A. All of the investigated ST9 isolates from farm B1 had their natC gene switched off due to the three-unit tandem repeat array. The phylogenomic analysis confirms the observed putative phase variation mechanism of natC in the ST9 isolates is an ancestral characteristic and the isolates have been independently introduced to the two farms.SNP detection is an essential step for investigating outbreak dynamics, as well as phenotype prediction [36]. The selection of the SNP difference cut-off that suggests isolates should be considered as the same outbreak remains a major challenge for WGS-based surveillances, as well as outbreak investigations in public health [37]. More information on the population diversity for each particular bacterial species, host and production system is required. For example, the within-outbreak population diversity observed in farm B1 during the current study was higher compared to our previous observation on fowl cholera outbreaks on a meat chicken farm [4]. This might reflect the effect of time on the population diversity of
, as layer chickens live much longer (typically over 50 weeks of age) than meat chickens (typically less than 50 days). The observation that overlapping outbreaks in 2013 were seeded by different ST9 subpopulations on farm A suggests that arbitrary SNP cut-offs should be interpreted in light of the overall phylogeny and not in isolation.The genomic data also demonstrated the limited capacity of MLST and the DNA fingerprinting method, rep-PCR, in differentiating isolates carrying different genetic mutations in their LPS-encoding region, which would result in different LPS outer structure. We have previously reported the failure of rep-PCR in differentiating between two clades of ST20
isolates that carried LPS types L3 or L1 [4].The knowledge on the LPS outer core biosynthesis loci diversity gained in the current study and previous studies on poultry [4], pinnipeds [33] and squirrel gliders [20] has important implications in strain selection for killed autogenous vaccination for multiple host species. Importantly, the data could be used for application of metagenomic analyses and point of care diagnostics in the near future in investigations of diversity in the LPS outer core biosynthesis loci in disease outbreaks linked to
; as well as surveillance studies looking at asymptomatic carrier hosts. Genomic studies of two previously linked ST20 outbreaks in farm A revealed that each of the two were as a result of introduction of new strain. In addition, by using genomics, we reveal two newly identified potential phase variation mechanisms in the LPS outer core biosynthesis loci of LPS type L3 carried by ST9
.Despite the demonstrable benefits of WGS in this study, we acknowledge that our interpretation is limited by the selection of single isolates from each chicken in most cases. Previously, we have shown that the
core-genome diversity within chickens can exceed the between-chicken diversity, hampering outbreak investigation with WGS [4]. This limitation could be circumvented by collecting multiple samples for WGS from each chicken and/or supplementing the study with samples for shotgun metagenomic sequencing.Click here for additional data file.
Authors: Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner Journal: J Comput Biol Date: 2012-04-16 Impact factor: 1.479
Authors: M A Larkin; G Blackshields; N P Brown; R Chenna; P A McGettigan; H McWilliam; F Valentin; I M Wallace; A Wilm; R Lopez; J D Thompson; T J Gibson; D G Higgins Journal: Bioinformatics Date: 2007-09-10 Impact factor: 6.937
Authors: Marina Harper; Marietta John; Conny Turni; Mark Edmunds; Frank St Michael; Ben Adler; P J Blackall; Andrew D Cox; John D Boyce Journal: J Clin Microbiol Date: 2014-11-26 Impact factor: 5.948
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