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. 2013 Sep 9;4(8):671–685. doi: 10.4161/viru.26288

In silico and in vitro evaluation of PCR-based assays for the detection of Bacillus anthracis chromosomal signature sequences

Joakim Ågren 1,2, Raditijo A Hamidjaja 3, Trine Hansen 4, Robin Ruuls 5, Simon Thierry 6, Håkan Vigre 4, Ingmar Janse 3, Anders Sundström 1, Bo Segerman 1, Miriam Koene 5, Charlotta Löfström 4, Bart Van Rotterdam 3, Sylviane Derzelle 6,*
PMCID: PMC3925699  PMID: 24005110

Abstract

Bacillus anthracis, the causative agent of anthrax, is a zoonotic pathogen that is relatively common throughout the world and may cause life threatening diseases in animals and humans. There are many PCR-based assays in use for the detection of B. anthracis. While most of the developed assays rely on unique markers present on virulence plasmids pXO1 and pXO2, relatively few assays incorporate chromosomal DNA markers due to the close relatedness of B. anthracis to the B. cereus group strains. For the detection of chromosomal DNA, different genes have been used, such as BA813, rpoB, gyrA, plcR, S-layer, and prophage-lambda. Following a review of the literature, an in silico analysis of all signature sequences reported for identification of B. anthracis was conducted. Published primer and probe sequences were compared for specificity against 134 available Bacillus spp. genomes. Although many of the chromosomal targets evaluated are claimed to be specific to B. anthracis, cross-reactions with closely related B. cereus and B. thuringiensis strains were often observed. Of the 35 investigated PCR assays, only 4 were 100% specific for the B. anthracis chromosome. An interlaboratory ring trial among five European laboratories was then performed to evaluate six assays, including the WHO recommended procedures, using a collection of 90 Bacillus strains. Three assays performed adequately, yielding no false positive or negative results. All three assays target chromosomal markers located within the lambdaBa03 prophage region (PL3, BA5345, and BA5357). Detection limit was further assessed for one of these highly specific assays.

Keywords: Bacillus anthracis, qPCR, detection, specificity, chromosomal marker, in silico analysis, inter-laboratory trial, diagnostic sensitivity

Introduction

B. anthracis, the etiological agent of anthrax, is a zoonotic pathogen that can cause life threatening diseases in animals and humans.1 Virulent strains of B. anthracis harbor two plasmids, pXO1 and pXO2, carrying unique genes that confer toxin production and capsule synthesis, respectively.2-4 Due to its possible use as an agent for bioterrorism, B. anthracis is one of the most feared microorganisms.

The major challenge of developing a reliable assay for the detection of B. anthracis stems from its high similarity to other strains in its genus. B. anthracis is a member of the Bacillus cereus group of bacteria (B. cereus sensu lato) which comprises 6 genetically related species: B. cereus, B. anthracis, B. thuringiensis, B. mycoides, B. weihanstephanensis, and B. pseudomycoides. An extremely high degree of genomic homology exists between B. cereus, B. anthracis, and B. thuringiensis, which some authors consider genetically just one species.5,6 The main difference between these species is the presence of unique virulence plasmids. However, data gathered in the last decade have shown that B. cereus strains that contain anthrax-specific pXO-like plasmids exist,7-12 which further obscures the much intermixed phylogenetic structure of the B. cereus group.

Some PCR-based assays in use for detection of B. anthracis rely on plasmid-encoded targets in conjunction with a chromosomal marker to correctly differentiate pathogenic from apathogenic B. anthracis strains and B. anthracis from non-anthracis Bacillus species, respectively (for a review see ref. 13). The importance of including a chromosomal assay to verify the presence of B. anthracis independently of plasmid occurrence was emphasized by the discovery of forms of B. anthracis isolates lacking plasmids, B. cereus isolates harboring anthrax-like virulence plasmids, and pXO2 gene homologs in environmental Bacillus isolates.7-12 Several chromosomal targets have been investigated for identification purposes, but most of the markers reported to be unique for B. anthracis were in fact common to both B. anthracis and a subpopulation of closely related B. cereus and B. thuringiensis strains.13-15 Few chromosomal sequences that provide sufficient polymorphism to unambiguously distinguish B. anthracis from its near neighbors have been identified.14,16-22 Some of these assays rely upon single-nucleotide differences for discrimination and are therefore sensitive to assay conditions and PCR cycling parameters. Small alterations in these conditions can result in the loss of specificity, especially with hydrolysis probes, i.e., TaqMan chemistry.18,23-25

To evaluate the wide range of PCR methods used in laboratories for B. anthracis identification, a computer-based comparative analysis of more than 300 PCR-target sequences reported in the literature was conducted. All sequences were compared against all publicly available Bacillus genomes and sorted for specificity. The three assays with highest in silico specificity, together with three assays with lower specificity, were evaluated in an international ring trial using DNA of Bacillus strains exchanged in the framework of the EU AniBioThreat project. The best chromosomal signatures for reliable B. anthracis genome detection are discussed for the purpose of selecting an assay as international standard for B. anthracis detection.

Results

Literature survey of PCR-based detection methods

The literature survey showed that at least 20 different chromosomal markers have been described (Table 1).13-15 The first DNA signatures that were developed for anthrax PCR detection methods independently of plasmids occurrence were DNA fragments used to genotype B. anthracis. They include the vrrA marker,26-28 the AC-390 gene,29 and the SG-850/749 fragment.30 These genetic markers provide limited specificity and require additional time-consuming and labor-intensive post-PCR analysis steps. Other areas of the chromosome have also been investigated as potential DNA-targets for identification purposes, including the so-called BA81331-38 and BA5510 sequences,19 genes bclB,39 sap,40,41 saspB,5,42 and sspE,22,43 the B-type small acid-soluble spore protein gene (SASP),44 a glycosyltransferase group 1 family protein,45 a protein showing similarities with an abhydrolase,18 and several DNA loci located on prophage regions,17 i.e., BA5345,21 BA5357,46 and PL3.47 Although most of these regions have been claimed to be anthrax-specific, B. cereus strains sometimes yield false positive results.13-15 Finally, a few single nucleotide polymorphisms (SNP) have also been considered for PCR markers. Target genes include rpoB,24,48-51 gyrA,25,52,53 gyrB,54,55 plc,20,23,53,56 purA,57 and the 16S-23S rDNA internal spacer sequences.58-60 But, so far, only the nonsense mutation in the global regulator PlcR, which controls the transcription of secreted virulence factors in B. cereus and B. thuringiensis, have proved to be truly unique to B. anthracis strains.16,20,59 False-positive signals have sometimes been recorded with closely related strains of the B. cereus group using the other published SNPs.24,49,52,59,61-63

Table 1. Specificity of primer/probe sequences published.

Reference Target (loci tagAmes) Technique   Primer/probe DNA sequence (5′-3′) Perfect match in target genomes Min unalignment in background genomes Number of hits in background at that level
Hurtle et al.52 gyrA qPCR p GGGAACAAAT GATGATGATT TCGT Yes 0 >10
(BA_0006) HP-MGB p ACTCTGGGAT TTCATATCCT TTCGT Yes 0 >10
    s CGCATGACCA TATTC Yes 0 1
Antwerpen et al.21 BA5345 qPCR p CGTAAGGACA ATAAAAGCCG TTGT Yes 2 2
(BA_5345)* HP p CGATACAGAC ATTTATTGGG AACTACAC Yes 7 1
    s TGCAATCGAT GAGCTAATGA ACAATGACCC T Yes 3 1
Hadjinicolaou et al.60 16s rRNA qPCR s TTACCTCACC AACTAGCTAA TGCGA Yes 0 ~50
  Beacon p TTCGGCTGTC ACTTATGGAT G Yes 0 ~50
    p TCGGCTACGC ATCGTTGCCT TG No 0 ~50
Irenge et al.57 purA qPCR p CAACACTTAA AATTTGTGTT GCTTACAA Yes 0 >10
(BA_5716) HP-LNA p TCACATTTCG CTAAAATGTT TAAGTTTG Yes 0 >10
    s TCGATAACTT TCCCATCGCA Yes 1 18
ptsI qPCR p GCTTGACGGA AYTCATCAAG AGT ND 1 ~40–50
(BA_4267) HP-LNA p TATGYCTTGA WGARCAAGAT GTGTTC ND 3 ~40–50
    s GTACACAACT TCGTGCATT Yes 0 ~40
Vahedi et al.38 BA813 PCR p AATGATAGCT CCTACATTTG GAG No 3 ~20
(BA-5031)   p TTAATTCACT TGCAACTGAT GGG Yes 0 1
Qi et al.24 rpoB qPCR p CCACCAACAG TAGAAAATGC C Yes 0 2
(BA_0102) FRET p AAATTTCACC AGTTTCTGGA TCT Yes 0 2
    s TCCAAAGCGC TATGATTTAG CAAATGT Yes 0 4
    s GGTCGCTACA AGATCAACAA GAAGTTACAC Yes 0 ~20
Oggioni et al.48 rpoB qPCR p TTGCTTGAAA TTTATGAGCG TCTAC Yes 0 ~50
(BA_0102) FRET p ATTGTTCCTT CTGCCGCTAA AA Yes 0 ~50
    s TGTAGGTCGC TACAAGATCA ACAAG Yes 0 21
    s AAGCGCTATG ATTTAGCAA Yes 0 5
Easterday et al.20 plcR qPCR p CCAATCAATG TCATACTATT AATTTGACAC Yes 0 19
(BA_5595) HP-MGB p ATGCAAAAGC ATTATACTTG GACAAT Yes 0 8
    s CAAAGCGCTT ATTCGTATT Yes 1 25
    s AAAGCGCTTC TTCGTATT No 0 ~30
Lewerin et al.65 BA_5345 qPCR p GAAGGACGAT ACAGACATTT ATTGG Yes 5 2
(BA_5345)* SybrGreen p ACCGCAAGTT GAATAGCAAG Yes 0 2
Wielinga et al.47 PL3 qPCR p AAAGCTACAA ACTCTGAAAT TTGTAAATTG Yes 5 1
(BA_5358)* HP p CAACGATGAT TGGAGATAGA GTATTCTTT Yes 6 2
    s AACAGTACGT TTCACTGGAG CAAAATCAA Yes 4 1
Kim et al.43 sspE qPCR p GAGAAAGATG AGTAAAAAAC AACAA Yes 0 ~50
(BA_0523) SybrGreen p CATTTGTGCT TTGAATGCTA G Yes 0 11
Coker et al.35 BA813 qPCR s AATGCCAGGT TCTATACCGT ATCAGCAAGC TATTC Yes 0 ~20
(BA-5031) HP-MGB p GGAGGGAATA CAGCAAACAC AGA Yes 0 ~15
    p TGCAACTGAT GGGATTTCTT TCT Yes 0 ~15
Bode et al.18 B26 qPCR p TGGCGGAAAA GCTAATATAG TAAAGTA Yes 0 7
(BA_2686) HP-MGB p CCACATATCG AATCTCCTGT CTAAAA Yes 0 6
    s ACTTCTAAAA AGCAGATAGA AAT Yes 0 7
Ryu et al.41 sap qPCR p CAATCGAAAT GGCTGACCAA A Yes 0 6
(BA_0885) HP p ACCCTCTGGT GAAACAACTT CAGT Yes 0 4
    s TAGCTGATGA GCCAACAGCA TTACAATTCA CAGT Yes 0 4
Ellerbrok et al.49 rpoB qPCR p CCACCAACAG TAGAAAATGC C Yes 0 2
(BA_0102) HP p AAATTTCACC AGTTTCTGGA TCT Yes 0 2
    s ACTTGTGTCT CGTTTCTTCG ATCCAAAGCG Yes 0 ~40
Luna et al.36 Ba813 qPCR p AATTTGAAGC ATTAACGAGT T Yes 0 ~20
(BA-5031) HP p TTCTTTCTGA CTTGGAATAG C Yes 0 ~20
    s GCCAGGTTCTA TACCGTATCA GCAA Yes 0 ~20
Letant et al.46 BA5357 qPCR p TTTCGATGAT TTGCAATGCC Yes 2 10
(BA_5357)* HP p TCCAAGTTAC AGTGTCGGCA TATT Yes 5 3
    s ACATCAAGTC ATGGCGTGAC TACCCAGACT T Yes 6 1
WHO44 B-type SASP qPCR p GCTAGTTATG GTACAGAGTT TGCGAC Yes 0 15
(BA_0524) FRET p CCATAACTGA CATTTGTGCT TTGAAT No 3 11
    s CAAGCAAACG CACAATCAGA AGCTAAG Yes 0 10
    s GCGCAAGCTT CTGGTGCTAG C Yes 4 ~40
Jackson et al.27 vrrA PCR p ACAACTACCA CCGATGGC Yes 0 ~40
(BA_4509/11)   p TTATTTATCA TATTAGTTGG ATTCG Yes 0 32
    np TATGGTTGGT ATTGCTG Yes 0 16
    np ATGGTTCCGC CTTATCG Yes 0 32
Ramisse et al.31 BA813 PCR p TTAATTCACT TGCAACTGAT GGG Yes 0 1
(BA-5031)   p AACGATAGCT CCTACATTTG GAG Yes 0 19
WHO40 S-Layer, sap PCR p CGCGTTTCTA TGGCATCTCT TCT Yes 0 13
(BA_0885)   p TTCTGAAGCT GGCGTTACAA AT No 2 3
Daffonchio et al.30 SG-850/749 RAPD (AluI) p ACTGGCTAAT TATGTAATG No 2 ~50
(BA_1584/85)   p ATAATTATCC ATTGATTTCG Yes 0 ~30
Wang et al.37 BA813 microarray p CATTTAGCGA AGATCCAGT Yes 0 ~20
(BA-5031)   p CTTGCTGATA CGGTATAGAA C Yes 0 ~20
    s TTTTTTTTTT CATTTAGCGA AGATCCAGT Yes 0 ~20
Brightwell et al.33 Ba81 PCR p TTAATTCAC TTGCAACTG ATGGG Yes 0 1
(BA-5031)   p AACGATAGC TCCTACATT TGGAG Yes 0 ~20
Nubel et al.58 16–23S tRNA microarray s GCAACGAGC GCAACCC Yes 0 ~140
    s CTGAGCTAT AGSCCCATA No 1 ~80
    s CCATACAAAT TTCAGGATTT A Yes 0 2
    s CCATACAAAT TTCAGGATTT Yes 0 2
    s CATACAAATT TCAGGATTT Yes 0 2
Daffonchio et al.59 16–23S tRNA PCR p GATATGATAT AAATAAATCG CG No 2 2
    p GTGGGTTTCC CCATTCGG No 0 ~100
Ko et al.50 rpoB PCR p TTCGTCCTGT TATTGCAG Yes 1 ~40
(BA_0102)   p GACGATCATY TWGGAAACCG ND ND ND
    p GGNGTYTCRA TYGGACACAT ND ND ND
Cheun et al.34 BA813 nested PCR p ACTAACGAAT CTTTCATTTA GCG Yes 0 ~20
(BA-5031)   p ATTGCACTTG CATAATATCC TTG Yes 0 ~20
    np AACGATAGCT CCTACATTTG GAG Yes 0 ~20
    np TTAATTCACT TGCAACTGAT GGG Yes 0 1
S-Layer nested PCR p CGCGTTTCTA TGGCATCTCTT CT Yes 0 13
(BA_0885)   p TTCTGAAGCT GGCGTTACAA AT No 2 2
    np CGGRACAGAA GCAGCAAAA No 1 5
    np GCTGTTGGCT CATCAGCTA Yes 0 3
Park et al.55 gyrB PCR p GGTAGATTAG CAGATTGCTC TTCAAAAGA No 1 12
(BA_0005)   p ACGAGCTTTCT CAATATCAAA ATCTCCGC Yes 0 11
Kim et al.45 GT PCR p TCTTCAGTGA CAAAACCACA Yes 0 2
(BA_5519)   p CAAGAAATCT TTTTCGAAGG Yes 0 3
Olsen et al.19 tagH qPCR p CTGCATTGAT AGCAATTTCT TCA Yes 0 2
(BA_5510) FRET p CAGGTTGATA CATAAACTTT CCA Yes 0 2
    s GTAATTCCCA TCATTAAACC TTTTAATTCG ATAT Yes 0 2
    s CAATCCCTGT TAATTGACCA TTAAGCC Yes 0 2
Leski et al.39 bclB PCR p AGGCCCAGAA AATATTGGAC Yes 0 22
(BA_2450)   p GAGTTCCTCC CACACCTGG Yes 0 8
Cherif et al.29 AC-390 PCR p GAAAATGGCC GGATGAGT No 0 9
(BA_5406)   p GACGTTGAAA CATTTATGCA No 0 11

ND, BLAST could not handle Y, W and R; s, probe; p, primer; np, nested primer; HP, hydrolysis probes; MGB, minor-grove-binding; FRET, hybridization probes; RAPD, random amplification of polymorphic DNA; LNA, locked nucleic-acid; GT, glycosyltransferase. *DNA located on prophage region.

In silico analysis

About a hundred sequences corresponding to all primers and probes currently published were compiled and compared using the primer alignment function of the Gegenees software (www.gegenees.org).64 Each sequence was tested against all available Bacillus spp. genomes and scored for specificity (Table 1). Bacillus is one of the largest genera represented in the bacterial genome database, with about 140 distinct members of the B. cereus group sequenced (www.ncbi.nlm.nih.gov).

Excluding SNP discrimination assays, it was found that out of the 35 PCR assays analyzed in silico, only four were specific for the B. anthracis chromosome, with a minimum unalignment value for background genomes higher than zero (Table 1). These assays target the markers BA5345,21,65 PL3,47 and BA5357,46 respectively. Three of these assays are based on hydrolysis probe (“TaqMan assay”); the fourth uses SYBR Green chemistry. These primer/probe sequences showed a perfect match to all B. anthracis genomes, and very poor matches to B. thuringiensis and B. cereus strains, including strains that are known to be phylogenetically very closely linked to B. anthracis. All other assays were found to be prone to false positive identification, as perfect matches were found for several B. cereus and B. thuringiensis strains.

To illustrate the complexity of the B. cereus group and why PCR-markers cross-react with some B. cereus and B. thuringiensis strains, we compared the genomes of 22 strains that were later used for PCR assays assessment in the ring trial (see below). Table 2 shows a similarity matrix that gives a phylogenomic overview of the 22 genomes. We considered an 80% average core genome similarity as threshold for a strain to be called a near neighbor as genomes passing this criterion produced most cross-reactions. Assessment of several in silico primer alignments showed that the vast majority of the cross reactions occurred within the near-neighbor group, at least for the better performing assays.

Table 2. Similarity matrix created by Gegenees over a set of 22 Bacillus strains used in this study.

Organism 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
1. B. anthracis Vollum 100 100 100 95 95 93 94 94 93 91 91 84 83 81 74 73 74 73 70 68 69 56
2. B. anthracis Sterne 100 100 100 95 95 93 95 94 93 91 91 84 84 82 74 74 74 74 71 68 69 57
3. B. anthracis CNEVA9066 100 100 100 95 95 93 94 94 93 91 91 84 83 81 74 74 74 73 71 68 69 57
4. B. thuringiensis BGSC 4AJ1 94 95 94 100 95 93 93 93 92 91 90 83 83 81 74 73 74 73 70 68 68 55
5. B. thuringiensis BGSC 4BA1 95 95 95 95 100 93 93 94 92 91 91 83 83 81 74 73 74 73 72 68 68 56
6. B. thuringiensis 97–27 92 93 93 93 93 100 92 93 92 91 91 83 83 82 74 73 74 74 71 68 69 57
7. B. thuringiensis BGSC 4CC1 93 94 94 93 93 92 100 92 92 90 90 83 83 81 74 73 74 73 70 68 68 56
8. B. thuringiensis BGSC 4AW1 93 94 94 94 94 93 93 100 93 91 91 83 83 81 74 73 74 73 70 68 68 56
9. B. cereus NVH0597–99 92 92 92 92 92 92 92 93 100 91 91 83 83 81 74 73 74 73 71 69 69 57
10. B. cereus SJ1 91 91 91 91 91 91 91 91 91 100 91 83 83 82 74 73 74 73 70 68 68 56
11. B. cereus BGSC 6E1 91 91 91 91 91 91 91 91 91 91 100 83 83 81 74 73 74 73 70 68 68 56
12. B. cereus 4342 83 84 84 84 83 83 84 83 83 83 83 100 94 83 75 74 75 74 71 68 69 56
13. B. thuringiensis BGSC 4Y1 83 83 83 83 83 83 83 83 83 83 83 94 100 83 75 74 74 74 71 68 68 56
14. B. cereus ATCC 10987 81 81 81 81 81 82 81 81 81 81 81 83 83 100 74 73 73 73 70 68 68 57
15. B. cereus ATCC 14579 74 74 74 74 74 74 74 74 74 74 74 75 75 74 100 89 88 89 83 69 69 57
16. B. cereus ATCC 10876 73 73 73 73 73 74 73 73 73 73 73 74 74 73 89 100 88 86 82 68 68 56
17. B. thuringiensis BGSC 4BD1 74 74 74 74 74 74 74 74 74 74 74 74 74 73 88 88 100 85 81 69 69 55
18. B. thuringiensis ATCC 10792 73 73 73 73 73 73 73 73 73 73 73 74 74 73 88 86 85 100 83 68 68 56
19. B. thuringiensis ATCC 35646 71 71 71 71 73 71 71 71 71 71 71 72 72 71 84 83 83 85 100 67 67 54
20. B. mycoides ATCC 6462 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 68 66 100 91 56
21. B. weihenstephanensis KBAB4 68 69 68 68 68 68 68 68 68 68 68 69 68 68 69 68 68 68 66 91 100 58
22. B. pseudomycoides DSM 12442 55 56 56 55 56 56 55 56 55 56 55 56 56 56 56 55 56 56 53 56 57 100

Anthrax and its close neighbors are indicated in bold. The phylogenomic overview is based on average genomic core genome similarity values.

Regarding assays relying upon single-nucleotide differences for discrimination, the in silico investigation confirmed that the plcR and purA point mutations were unique to B. anthracis strains (data not shown). The SNP at position 1668 of gyrA was also found to be a relatively specific marker for B. anthracis identification as only one genome (B. thuringiensis serovar monterrey BGSC 4AJ1) contained the C variant specific for B. anthracis. Screening other published SNPs resulted in false positive signals for several strains of the B. cereus group (data not shown).

Ring trial

The three hydrolysis probe assays with highest specificities in the in silico analysis (BA5345, PL3, and BA5357) were evaluated in vitro using a panel of 90 Bacillus strains in a laboratory ring-trial performed at 5 European laboratories (RIVM, DTU, SVA, ANSES, and CVI). Assays mentioned by the World Health Organization (WHO)31,40,44 were also included in the ring trial, as well as a hydrolysis probe assay35 that targets the often used BA813 marker31-38 (Table 3). The latter marker has shown in silico cross-reactions toward the near-neighbor strains in use in this trial and was included for this reason. The two WHO procedures tested are, respectively, a formerly used conventional gel-based PCR assay targeting the S-layer gene sap40 and a dual hybridization probes qPCR assay targeting a gene encoding the small acid-soluble spore protein SASP.44

Table 3. Selected PCR assays for the B. anthracis ring trial.

Reference Marker Primer/probe name Sequences (5′-3′) End concentration (uM) PCR size (bp) Cycling program Final vol (ul)
Antwerpen et al.21 BA5345* dhp61_183–113F CGTAAGGACA ATAAAAGCCG TTGT 0.9 96 15 s 95 °C
1 min 55 °C
45× 20
dhp61_183–208R CGATACAGAC ATTTATTGGG AACTACAC 0.3
dhp61_183–143T TGCAATCGAT GAGCTAATGA ACAATGACCCT 0.25
Wielinga et al.47 PL3* PL3_f AAAGCTACAA ACTCTGAAAT TTGTAAATTG 0.2 139 5 s 95 °C
35 s 60 °C
45× 20
PL3_r CAACGATGAT TGGAGATAGA GTATTCTTT 0.2
Tqpro_PL3 AACAGTACGT TTCACTGGAG CAAAATCAA 0.1
Letant et al.46 BA5357* Forward TTTCGATGAT TTGCAATGCC 1 105 5 s 95 °C
20 s 60 °C
45× 20
Reverse TCCAAGTTAC AGTGTCGGCA TATT 1
Probe ACATCAAGTC ATGGCGTGAC TACCCAGACT T 0.08
WHO40 sap
(S-layer)
Upper 391–413 CGCGTTTCTA TGGCATCTCT TCT 0.2 639 30 s 95 °C
30 s 55 °C
30 s 72 °C
30× 20
Lower 1029–1008 TTCTGAAGCT GGCGTTACAA AT 0.2
Coker35 BA813 BA813-FP GGAGGGAATA CAGCAAACAC AGA 16 123 15 s 95 °C
1 min 60 °C
40× 20
BA813-RP TGCAACTGAT GGGATTTCTT TCT 16
BA813-PR AATGCCAGGT TCTATACCGT ATCAGCAAGCT ATTC 0.1
WHO44 B-type SASP ANT-F GCTAGTTATG GTACAGAGTT TGCGAC 0.5   10 s 95 °C
20 s 57 °C
30 s 72 °C
45× 20
ANT-Amt CCATAACTGA CATTTGTGCT TTGAAT 0.5
ANT-FL CAAGCAAACG CACAATCAGA AGCTAAG-FL 0.2
ANT-LC:Red640 LC RED640-GCGCAAGCTT CTGGTGCTAG C-P 0.2
IAC Bfp ABbfp_F TCATGGCCGA CAAGCAGAA 0.2 170 Assay dependence    
ABbfp_R GCTCAGGGCG GACTG 0.2
ABbfp_Tq CGACC ACTACCAGCA GAACACC 0.2

IAC, internal amplification control; Bfp, blue fluorescence protein. *DNA located on prophage region BA03.

Results of the ring trial confirmed the results obtained in the in silico analysis (Table 4). The three assays with highest in silico specificity (BA5345,21 PL3,47 and BA535746) all performed well in the ring trial, with diagnostic sensitivity and specificity values close to 1 (Table 5). Furthermore, these assays were found to be robust and provided consistent results between laboratories (kappa values of 0.9–1.0). All 31 B. anthracis strains were correctly detected, except in one laboratory that failed to detect one sample with a lower DNA content using the BA5345 assay. None of the non-anthrax strains gave false positive results for these assays for any of the participating laboratories.

Table 4. Strain identities and PCR results of the ring trial on B. anthracis genome detection by PCR. Five laboratories participated in the ring trial.

Species Strain name DNA ng/µl BA5345 Antwerpen PL3 Wielinga BA5357 Letant BA813 Coker sap (S-layer) WHO 1998 B-type SASP WHO 2008
B. anthracis 17JB 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 08-1298 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 09-1122 0.2 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 07-1371 0.2 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 07-1167 0.2 + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 92-9066 0.1 + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP 53.169 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP 74.12 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP 81.89 0.5 + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP A204 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP A205 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP A206 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis CIP A211 0.5 + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. cereus ATCC 14579 0.5 u + u
B. cereus 06.1248 0.2 + u u
B. cereus 08.1458 0.5 d u u
B. cereus 97-BC14 0.2 + + + u u
B. cereus 00.624.49 0.5 + + + + u u
B. cereus 97-BC17 0.5 + u u
B. cereus 97-BC18 0.5 + + + u + u
B. cereus 97-BC59 0.5 u u
B. cereus CIP A28 0.5 d u u
B. cereus CIP 63.81 0.1 d + + u u
B. cereus CIP 70.1 0.5 d u u
B. gibsonii CIP 104.720 0.5 d u u
B. licheniformis ATCC 14580 0.5 u u
B. subtilis ATCC 6051 0.3 d + u u
B. anthracis 23932 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 56430 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 131959-5 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 127491 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 188678-1 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 13185 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis 128268 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. cereus 1847 0.5 + u u
B. anthracis 132064-1 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. atrophaeus ATCC 9372 0.5 u u
B. cereus ATCC 11778 0.5 u u
B. cereus WSBC 10530 0.5 d u u
B. cereus WSBC 10536 0.5 u u
B. cereus WSBC 10583 0.5 u u
B. cereus WSBC 10619 0.5 u u
B. cereus NVH0597-99 0.5 + + + + + + u u
B. cereus ATCC 10702 0.5 d u u
B. cereus WSBC 10286 0.5 + u u
B. cereus WSBC 10483 0.5 + + + + u u
B. cereus WSBC 10566 0.5 d + + + + + u u
B. cereus WSBC 10572 0.5 + + + + + + + + u u
B. cereus WSBC 10705 0.5 + + + + + + u u
B. cereus WSBC 10763 0.5 + + + + + + + + u u
B. cereus WSBC 10770 0.5 + + + + + u u
B. cereus ATCC 10987 0.5 + + + + u u
B. coagulans   0.5 u u
B. pumilus ATCC 27142 0.5 u u
B. megaterium ATCC 8245 0.5 u u
B. subtilis ATCC 6633 0.5 u u
B. thuringiensis var galleriae ATCC 29730 0.5 u u
B. thuringiensis ser thuringiensis NRRL HD-2 0.5 u u
B. thuringiensis ser aizawai NRRL HD-11 0.5 u u
B. thuringiensis ser kurstaki NRRL HD-73 0.5 u u
B. anthracis NCTC 109 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 8234 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 7753 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 7752 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 5444 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 2620 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 1328 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis NCTC 10340 0.5 + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. cereus BGSC 6E1 0.5 + + + + + u u
B. thuringiensis ser pulsiensis BGSC 4CC1 0.5 + + + + + + + + + + + u u
B. thuringiensis ser andalousiensis BGSC 4AW1 0.5 d + + + + + u + u
B. thuringiensis ser pondicheriensis BGSC 4BA1 0.5 + + + + + + + + + + u + u
B. thuringiensis ser monterrey BGSC 4AJ1 0.5 + + + + + + + + + + u u
B. thuringiensis ser huazhongensis BGSC 4BD1 0.5 d d u u
B. thuringiensis ser tochigiensis BGSC 4Y1 0.5 + + + + + + u + u
B. megaterium DSM 319 0.5 d + u u
B. pumilus ATCC 7061 0.5 d u u
B. thuringiensis ser Berliner ATCC 10792 0.5 d + + u u
B. weihenstephanensis KBAB4 0.5 d + u u
B. pseudomycoides DSM 12442 0.5 d + u u
B. cereus ATCC 10876 0.5 u u
B. mycoides ATCC 6462 0.5 u u
B. subtilis NCTC 3610 0.5 + u u
B. subtilis NCTC 10400 0.5 u u
B. thuringiensis ser israelensis ATCC 35646 0.5 + u u
B. cereus ATCC 4342 0.5 + + + + + + u u
B. thuringiensis ser konkukian 97-27 0.5 + + + + + + u + u
B. cereus SJ1 0.5 + + + d + + u + u
B. anthracis SVA-2008 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u
B. anthracis SVA-2011 0.5 + + + + + + + + + + + + + + + + + + + + + + + + + + + u + u

d, doubtful; u, unsuccesfully analyzed; +, PCR positive; −, PCR negative; ser, serovar; var, variant

Table 5. Diagnostic sensitivity (SE) and specificity (SP) values for the different assays and laboratories.

PCR assay Values for indicated laboratory # (95% confidence limits)
  1 2 3 4 5
SE SP SE SP SE SP SE SP SE SP
BA5345 1.00 0.98 0.94 1.00 1.00 1.00 1.00 1.00 1.00 0.97
(0.89–1) (0.91–1) (0.79–0.99) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.88–1)
PL3 1.00 0.97 1.00 0.98 1.00 1.00 1.00 1.00 1.00 0.97
(0.89–1) (0.88–1) (0.89–1) (0.91–1) (0.89–1) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.88–1)
BA5357 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.95
(0.89–1) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.94–1) (0.89–1) (0.86–0.99)
sap
(S-layer)
0.97 0.69 0.52 0.81 1.00 0.56 1.00 0.69 1.00 0.58
(0.83–1) (0.56–0.81) (0.33–0.70) (0.69–0.90) (0.89–1) (0.42–0.69) (0.89–1) (0.56–0.81) (0.89–1) (0.44–0.70)
BA813 0.71 0.93 0.52 0.92 0.94 0.86 0.97 0.92 0.97 0.75
(0.52–0.86) (0.84–0.98) (0.33–0.70) (0.81–0.97) (0.79–0.99) (0.75–0.94) (0.83–1) (0.81–0.97) (0.83–1) (0.62–0.85)
B-type SASP 1.00 0.93 0.84 0.95 nd nd 1.00 0.88 nd nd
(0.89–1) (0.84–0.98) (0.66–0.95) (0.86–0.99) (0.89–1) (0.77–0.95)

nd, not determined

The results obtained using the S-layer,40 BA813,35 and SASP44 assays displayed a lower agreement among laboratories (κ values of 0.5–0.8). In general, the three methods had relative low diagnostic sensitivity and specificity compared with the BA5345, PL3, and BA5357 assays, indicating that these methods have a lower performance both in detecting B. anthracis in truly contaminated samples and in declaring truly non-contaminated samples as free of B. anthracis. Although the BA813 assay was found to be quite effective in identifying true B. anthracis strains—except for laboratory 2, which failed to detect two strains—it yielded a number of false positive results (ranging from 11 to 23 strains) in all laboratories. As for the former WHO-recommended S-layer assay,40 this conventional PCR method was apparently not as sensitive as several of the others (Table 5), producing false negative results in all laboratories. In contrast, higher specificity (specificity ranging from 0.88 to 0.95, depending on laboratory, Table 5) was obtained with the current WHO recommended SASP assay.44 This assay correctly identified most of the closely related strains, even though improper but late amplifications were sporadically observed for a few strains (ranging from 3 to 5). All B. anthracis strains were tested PCR-positive by two of the three laboratories that had succeeded to implement the assay on their PCR platforms. The WHO protocol relies on fluorescence resonance energy transfer (FRET) probes chemistry, but not all real-time PCR instruments have detection systems including a channel designated for FRET experiments. The third laboratory equipped with FRET-capabilities failed to detect five samples with lower DNA concentration (Table 4).

Limit of detection of the PL3 assay

In order to propose a single reference method for B. anthracis chromosome detection to diagnostic laboratories throughout Europe, we further assessed the laboratory sensitivity of one of the best performing assays identified in this work, the PL3 assay.47 Serial dilutions of genomic DNA from B. anthracis strain 17JB were tested to determine the lowest concentration of DNA that could be detected at 95% probability. The detection limit (LODPCR at 95% confidence interval) was found to be 2 genome equivalents. Performance in artificially contaminated organs (wild boar spleen) was also examined using 10-fold dilutions of calibrated suspensions of vegetative cells. Non-inoculated samples were confirmed to be negative. A reproducible detection (100%, n = 9) of samples containing 11 vegetative cells/PCR was observed, corresponding to 103 B. anthracis CFU per ml of spleen homogenates. Samples containing fewer targets (i.e., 102 CFU/ml) could be sporadically detected (data not shown).

Discussion

PCR-based identification assays are fast and sensitive methods, widely used in food, clinical, or veterinary laboratories to detect the presence of pathogens or to confirm species identity. Reliable detection requires the selection of primers and probes that hybridize efficiently and specifically with DNA from the targeted bacterium, in order to prevent false negative or false positive results. For the almost clonal species of B. anthracis, the selection of robust DNA signature sequences for the development of PCR assays has proven to be a very difficult task since few of the investigated markers proved to be truly unique for the species. At present, only three chromosomal features appeared to be useful to differentiate B. anthracis from the rest of the B. cereus group at the genetic level: (1) being part of the clonal cluster made up of highly monomorphic B. anthracis strains, as analyzed by MLST, MLVA or similar methods; (2) carrying a nonsense mutation at nucleotide position 640 of the plcR gene, introducing a premature TAA stop codon; and (3) presence of a unique combination of four excision-proficient, lambdoid prophages (lambda01–04).4,16,66

An unexpectedly high amount of PCR assays (~88 %) were found to be unspecific for B. anthracis. This is mostly because not much was known about the genetically closely related strains until the recent rapid increase in available genome sequences. The increasing use of Next Generation Sequencing technologies in systematic characterization of bacterial genomes has offered a powerful approach for large-scale genome comparisons and identification of specific DNA signatures. This is illustrated by the current study in which a thorough in silico analysis of published PCR assays for the detection of B. anthracis was possible due to the availability of manifold genome sequences. Conclusions drawn from this in silico analysis of the full set of Bacillus spp. genomes published to date were the following:

1) There was no PCR assay with superior specificity for any common target carried by the pXO1 or pXO2 virulence plasmids (lef, cya, pag, and cap), since several B. cereus strains were found to contain pXO-like plasmids carrying highly similar genes (data not shown), as was previously reported by others.7-12

2) Only two single-nucleotide differences appeared to be reliable markers for the specific identification of B. anthracis: a variant at nucleotide position 640 in the plcR gene or at position 1050 in the purA gene.

3) The four highly specific assays identified in silico (i.e., Antwerpen, Lewerin, Létant, and Wielinga) target three different loci located within the lambdaBa03 prophage region (ranging from BA5339 to BA5363 loci in the Ames annotated genome). All other markers that had been thought to discriminate B. anthracis from other B. cereus group bacteria were found in at least some closely related strains and could therefore result in erroneous species attribution, as exemplified by the BA813-targeted assays or the S-layer assay.40

Except for the recent SASP assay,44 most of the published assays gave poor results in the in silico analysis (Table 1), including those referred to in the Terrestrial Manual of OIE,67 i.e., Jackson et al.27 and Ramisse et al.31 However, to our knowledge, this is the first study addressing the in vitro evaluation of the SASP genomic markers. Our results should be confirmed on a larger panel of Bacillus strains to enable clear conclusions. Nevertheless, when standardizing PCR based detection methods for B. anthracis, the latter assay might be problematic with regard to its ease of implementation. The WHO protocol is based on a hybridization probes format for DNA detection and quantification by real-time PCR, and only a part of the qPCR instruments on the market currently includes detection system with decoupled excitation and emission filter channels that allow the use of hybridization probes (FRET) chemistry.68 Hydrolysis probes are more commonly applied and thus form an alternative that should be more universally applicable.

Although excision proficient prophage sequences are generally not considered useful targets for bacterial identification because of their instability, the persistent presence of the four prophage regions in all B. anthracis genomes can be advantageously utilized for the definitive discrimination of B. anthracis from other B. cereus group bacteria.66 Given the high impact of the anthrax identification issue, one must be cautious and avoid relying solely on assays based on SNP discrimination. Such assays are more sensitive to assay conditions compared with assays relying on unique signature sequences, and the occurrence of false positive signals from B. cereus strains caused by mispriming is more likely. Even though various techniques have been evaluated to enhance the specificity of SNP-based PCR assays (including TaqMan mismatch amplification mutation assay,23 restriction site insertion-PCR,56 tentacle or locked nucleic acids probes-based PCR25 or high resolution melting (HRM)-PCR53), they are neither as robust nor as user friendly as assays based on unique signature sequences. The chromosomal markers BA5345 (Antwerpen), PL3 (Wielinga), or BA5357 (Letant), enable unambiguous identification of B. anthracis strains, including plasmid-cured isolates. Moreover, the PL3 assay was confirmed to be sensitive enough to be used in biological samples. High diagnostic sensitivity of the assay reduces the occurrence of false negative results, which can be further reduced by the use of an internal control to prevent pipetting errors. It should be emphasized that one of these assays should be implemented in conjunction with plasmid-encoded targets in B. anthracis-specific PCR methods to discriminate non-virulent from virulent strains.

In conclusion, this study highlights the importance of analyzing the diagnostic sensitivity and specificity of PCR assays designed for detection of B. anthracis, as many of particularly the older protocols produce both false negative and false positive results. This is important with regard to the aim of standardization of a PCR assay for B. anthracis detection. Even though only slight differences regarding the analytical sensitivity were observed between the three highly specific chromosomal assays during the ring-trial, we propose the robust and sensitive PL3 assay as possible European standard to harmonize and improve PCR methods for detection of anthrax in animal, feed, environmental, and food samples based on results of this study.

Materials and Methods

Strains

DNA from a total of 90 Bacillus strains were used in this study, including 31 B. anthracis isolates, 44 strains of B. cereus or B. thuringiensis, and 15 strains encompassing 10 other bacterial species (Table 4). Strains came from the collections of Bacilli of the different partners: Anses (n = 27), SVA (n = 22), CVI (n = 9), and RIVM (n = 32). Of the 90 B. cereus group strains used for in vitro studies, 22 had publicly available whole genome sequences (Table 2), including 11 B. cereus or B. thuringiensis strains closely related to B. anthracis (Table 2) and reported as near-neighbors based on multilocus sequence typing analysis.16 All DNA samples were randomly coded and sent to each of the 5 participating laboratories.

DNA extraction procedures

At Anses, B. anthracis suspensions were incubated at 100 °C in boiling water for 20 min. After cooling and centrifugation, viability testing was performed to verify absence of live B. anthracis. DNA from artificially contaminated samples was further purified using the High Pure PCR template Preparation Kit from Roche according to the manufacturer’s recommendations. DNA from non-pathogenic non-B. anthracis bacilli cultures was alternatively extracted using a 200 µl aliquot of InstaGeneTM Matrix as described by the supplier (Bio-Rad Laboratories).

At CVI, bacterial suspensions were inactivated at 100 °C for 10 min and tested for absence of viable B. anthracis by plating aliquots on nutrient agar petri dishes. DNA was purified using the QIAamp DNA Mini Kit (Qiagen Benelux).

At RIVM, bacteria suspensions were incubated at 100 °C for 30 min, centrifuged at maximum speed for 1 min and the resulting lysates were transferred to a 0.22 μm sterile Ultrafree-MC spin filter (Millipore). The spin filter was then centrifuged for 4 min at maximum speed to clean the DNA lysate from left over cell debris. DNA lysates from B. anthracis and non-pathogenic bacteria were further purified or isolated, respectively using the NucliSENS Magnetic Extraction reagents (bioMerieux) following the manufacturer instructions.

At SVA, bacterial cultures were centrifuged and DNA extracted from the pellet using the MasterPure Gram positive kit (Epicenter Biotechnologies). The DNA was taken out of the BSL-3 facility by first passing it through an Ultrafree-MC 0.22 µm sterile filter (Merck Millipore).

Internal amplification control

A fragment of the blue fluorescent protein gene (bfp) was used as an internal amplification control (IAC). The IAC primers and probe were designed such that they do not interact with any of the primers and probes from the tested assays. Oligonucleotides design was performed by using the software package Visual Oligonucleotide Modeling Platform version 6 (DNA Software Inc.). The primers and probe were the following: ABbfp_F (5′-TCATGGCCGA CAAGCAGAA-3′), ABbfp_R (5′-GCTCAGGGCG GACTG-3′), and ABbfp_Tq (5′-Cy5-CGACCACTAC CAGCAGAACA CC-BHQ2-3′). Amplicons from the bfp gene were produced by using conventional PCR and were purified by using the Qiagen PCR purification kit. The amount of amplicons that need to be added to samples to obtain suitable Cq values for use as internal control was determined empirically from 10-fold serial dilutions. The developed real-time qPCR assays were used to determine the amplicon dilution needed for a Cq value between 32 and 35.

Conventional and real-time qPCR conditions

Participating laboratories were asked to investigate the complete set of blinded samples using the PCR platforms available at their institute. Real-time qPCR and conventional thermocyclers used were the following: Mx3005p (Stratagene); ABI 7500 Fast, StepOnePlus or AB9700 (Applied BioSystems); LightCycler 2.0 or LightCycler 480 (Roche Applied Science); C1000, iCycler or MyCycler (BioRad). Primers and probes were synthesized by each laboratory’s usual suppliers (Eurogentec, Metabion, Sigma or Eurofins MWG operon). Total PCR reaction volume (20 µl) and template volume (2 µl of Bacillus DNA and 2 µl of the IAC DNA) were kept constant. Each laboratory also used the same qPCR kits and DNA polymerases as in their routine diagnostic activities. Five different commercially available or custom-made PCR kits (i.e., Taqman Universal PCR Master mix [Life Technologies], PerfeCta multiplex supermix [Quanta BioSciences], iQ Multiplex Powermix [Bio-Rad], VeriQuest qPCR fast master mix [affymetrix], and LightCycler FastStart DNA Master HybProbe [Roche Applied Science]) and 5 DNA polymerases (i.e., Fermentas true start, Quanta PerfeCta Multiplex Super-mix, Tth DNA polymerase [Roche] in a custom-made mix [based on ref. 68], Go Taq DNA polymerase [Promega]) were used following manufacturer’s instructions. The cycling program and primers/probe concentrations for each assay were those described in their original publication (as indicated in Table 3).

In silico analysis

Gegenees (http://www.gegenees.org) is open software that uses a fragmented alignment approach for the comparative analysis of hundreds of microbial genomes.64 The genomes are fragmented and compared, all against all, by a multithreaded BLAST control engine. Each data point connecting two genomes is represented by a score. Although this genome alignment and data mining is the main application of Gegenees, it is also equipped with a primer alignment function that facilitates the alignment of several primers against a large amount of genomes for specificity testing.

The FTP-function of Gegenees was used to download all the available Bacillus spp. genomes from NCBI Genomes which, at the time of the study, amounted to 134 genomes. All primer/probe sequences from the literature survey were aligned to the 134 genomes with a short-sequence-setting (i.e., word length of 7) for the BLAST+ algorithm and the alignments were then sorted according to their “unalignment index”. The unalignment index is the sum of non-aligned nucleotides and reported mismatches. A minimal unalignment index value of 0 for a primer corresponds to perfect sequence match with the genome the primer aligned to. Results have been acquired for all published sequences, regardless of the kind of assay reported (e.g., real-time qPCR, conventional PCR, LAMP, microarray, etc.) or targets used (pXO1-, pXO2-plasmid, or chromosomal DNA). Only data from chromosomal markers (n = 35) are reported in the present study (Table 1).

To illustrate the relatedness of the B. cereus group strains used in this study to B. anthracis, a whole genome comparison of the 22 available sequenced whole genome genomes was also performed (Table 2). Gegenees was set to perform an all-all fragmented alignment using 500 bp fragments. The average genomic core genome similarity values were also calculated (Table 2).

Ring trial

A ring trial was performed among 5 European laboratories in the framework of the EU AniBioThreat project (http://www.anibiothreat.com). Six published PCR-assays targeting different B. anthracis chromosomal markers were evaluated in vitro. The most specific methods according to in silico analysis21,46,47 were compared with the assays recommended by the WHO40,44 and a single assay targeting BA813.35 Ninety blinded DNA samples were exchanged between partners and an IAC was distributed. A detailed standard operative protocol describing how to conduct and perform the ring trial was set up after consultation of all participating laboratories. Samples were re-tested in case of IAC inhibition. A reporting form file was distributed among participants to record the results.

Diagnostic sensitivity and specificity for all assays and laboratories were calculated together with the kappa values in SAS 9.1.3 (SAS Institute Inc.) using the FREQ procedure. The sensitivity was defined as the fraction of positive DNA samples which were known to contain B. anthracis (as determined by standard methods used by the different culture collections) that gave a positive PCR results by the different methods. Specificity was defined as the fraction of negative DNA samples which were known not to contain B. anthracis DNA that gave a negative PCR results by the different PCR methods. Kappa values measure the level of agreement between results obtained by the different participating laboratories and PCR methods combinations. The calculation is based on the difference between how much agreement is actually present (“observed” agreement) compared with how much agreement would be expected to be present by chance alone (“expected” agreement). A kappa value of 1 indicates perfect agreement, whereas a kappa of 0.5 indicates moderate agreement and a value of 0 indicates that the apparent agreement is only due to chance.69

Detection limit of the PL3 assay

The limit of detection of the PL3 assay47 was determined by using serial dilutions of genomic DNA from B. anthracis strain 17JB. Six dilutions around the expected limit of detection (corresponding to 5, 2, 1, 0.5, 0.2, and 0.1 genome equivalents) were used to calculate a precise LODPCR value (3 runs, 24 replicates for each dilution).70 Genomic DNA was quantified by fluorimetry using the Qubit® 2.0 Fluorometer (Invitrogen). The number of genomic copies was calculated as follows: m = n × (1.013 × 10−21 g/bp), where m is the mass and n is the number of base pairs.

Wild boar spleen homogenates were used to assess the sensitivity of the assay in biological samples. Portions of 1 ml were artificially inoculated in triplicate at five contamination levels with calibrate suspensions of vegetative cells (ranging from 5.5 × 101 to 5.5 × 105 CFU/ml) from strain 17JB as previously described.53 Samples were then incubated at 56 °C for 1 h in the presence of proteinase K and inactivated for 20 min at 100 °C in boiling water. After cooling and centrifugation, viability testing was performed to verify depletion of live B. anthracis. DNA was then extracted from 200 µl aliquots using the High Pure PCR Template Preparation Kit (Roche). Two microliter aliquots of the eluted DNA were used as template. The exact numbers of cells introduced into spleen homogenates were determined a posteriori by plating.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Acknowledgments

Pia Engelsmann, DTU, is acknowledged for excellent technical assistance. This research was supported by/executed in the framework of the EU-project AniBioThreat (Grant Agreement: Home/2009/ISEC/AG/191) with the financial support from the Prevention of and Fight against Crime Programme of the European Union, European Commission—Directorate General Home Affairs. This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use that may be made of the information contained therein. This work was also supported by the Swedish Civil Contingencies Agency (MSB).

Glossary

Abbreviations:

qPCR

quantitative real time polymerase chain reaction

WHO

World Health Organization

OIE

World Organisation for Animal Health

B.

Bacillus

EU

European Union

SE

sensitivity

SP

specificity

CFU

colony forming unit

IAC

internal amplification control

Cq

quantification cycle (or threshold cycle)

FRET

fluorescence resonance energy transfer

LOD

limit of detection

SNP

single nucleotide polymorphism

HRM

high resolution melting

RAPD

random amplification of polymorphic DNA

SD

standard deviation

DNA

deoxyribonucleic acid

BLAST

Basic Local Alignment Search Tool

NCBI

National Center for Biotechnology Information

FTP

file transfer protocol

SVA

National Veterinary Institute in Sweden

RIVM

National Institute for Public Health and the Environment in the Netherlands

CVI

Central Veterinary Institute of Wageningen

Anses

French Agency for Food, Environmental and Occupational Health and Safety

DTU

Technical University of Denmark

10.4161/viru.26288

Footnotes

References

  • 1.Mock M, Fouet A. Anthrax. Annu Rev Microbiol. 2001;55:647–71. doi: 10.1146/annurev.micro.55.1.647. [DOI] [PubMed] [Google Scholar]
  • 2.Okinaka R, Cloud K, Hampton O, Hoffmaster A, Hill K, Keim P, Koehler T, Lamke G, Kumano S, Manter D, et al. Sequence, assembly and analysis of pX01 and pX02. J Appl Microbiol. 1999;87:261–2. doi: 10.1046/j.1365-2672.1999.00883.x. [DOI] [PubMed] [Google Scholar]
  • 3.Okinaka RT, Cloud K, Hampton O, Hoffmaster AR, Hill KK, Keim P, Koehler TM, Lamke G, Kumano S, Mahillon J, et al. Sequence and organization of pXO1, the large Bacillus anthracis plasmid harboring the anthrax toxin genes. J Bacteriol. 1999;181:6509–15. doi: 10.1128/jb.181.20.6509-6515.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Read TD, Peterson SN, Tourasse N, Baillie LW, Paulsen IT, Nelson KE, Tettelin H, Fouts DE, Eisen JA, Gill SR, et al. The genome sequence of Bacillus anthracis Ames and comparison to closely related bacteria. Nature. 2003;423:81–6. doi: 10.1038/nature01586. [DOI] [PubMed] [Google Scholar]
  • 5.Marston CK, Gee JE, Popovic T, Hoffmaster AR. Molecular approaches to identify and differentiate Bacillus anthracis from phenotypically similar Bacillus species isolates. BMC Microbiol. 2006;6:22. doi: 10.1186/1471-2180-6-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Helgason E, Okstad OA, Caugant DA, Johansen HA, Fouet A, Mock M, Hegna I, Kolstø AB. Bacillus anthracis, Bacillus cereus, and Bacillus thuringiensis--one species on the basis of genetic evidence. Appl Environ Microbiol. 2000;66:2627–30. doi: 10.1128/AEM.66.6.2627-2630.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Turnbull PC, Hutson RA, Ward MJ, Jones MN, Quinn CP, Finnie NJ, Duggleby CJ, Kramer JM, Melling J. Bacillus anthracis but not always anthrax. J Appl Bacteriol. 1992;72:21–8. doi: 10.1111/j.1365-2672.1992.tb04876.x. [DOI] [PubMed] [Google Scholar]
  • 8.Pannucci J, Okinaka RT, Sabin R, Kuske CR. Bacillus anthracis pXO1 plasmid sequence conservation among closely related bacterial species. J Bacteriol. 2002;184:134–41. doi: 10.1128/JB.184.1.134-141.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pannucci J, Okinaka RT, Williams E, Sabin R, Ticknor LO, Kuske CR. DNA sequence conservation between the Bacillus anthracis pXO2 plasmid and genomic sequence from closely related bacteria. BMC Genomics. 2002;3:34. doi: 10.1186/1471-2164-3-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hoffmaster AR, Ravel J, Rasko DA, Chapman GD, Chute MD, Marston CK, De BK, Sacchi CT, Fitzgerald C, Mayer LW, et al. Identification of anthrax toxin genes in a Bacillus cereus associated with an illness resembling inhalation anthrax. Proc Natl Acad Sci U S A. 2004;101:8449–54. doi: 10.1073/pnas.0402414101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Klee SR, Brzuszkiewicz EB, Nattermann H, Brüggemann H, Dupke S, Wollherr A, Franz T, Pauli G, Appel B, Liebl W, et al. The genome of a Bacillus isolate causing anthrax in chimpanzees combines chromosomal properties of B. cereus with B. anthracis virulence plasmids. PLoS One. 2010;5:e10986. doi: 10.1371/journal.pone.0010986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Klee SR, Ozel M, Appel B, Boesch C, Ellerbrok H, Jacob D, Holland G, Leendertz FH, Pauli G, Grunow R, et al. Characterization of Bacillus anthracis-like bacteria isolated from wild great apes from Cote d’Ivoire and Cameroon. J Bacteriol. 2006;188:5333–44. doi: 10.1128/JB.00303-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Edwards KA, Clancy HA, Baeumner AJ. Bacillus anthracis: toxicology, epidemiology and current rapid-detection methods. Anal Bioanal Chem. 2006;384:73–84. doi: 10.1007/s00216-005-0090-x. [DOI] [PubMed] [Google Scholar]
  • 14.Irenge LM, Gala JL. Rapid detection methods for Bacillus anthracis in environmental samples: a review. Appl Microbiol Biotechnol. 2012;93:1411–22. doi: 10.1007/s00253-011-3845-7. [DOI] [PubMed] [Google Scholar]
  • 15.Rao SS, Mohan KV, Atreya CD. Detection technologies for Bacillus anthracis: prospects and challenges. J Microbiol Methods. 2010;82:1–10. doi: 10.1016/j.mimet.2010.04.005. [DOI] [PubMed] [Google Scholar]
  • 16.Kolstø AB, Tourasse NJ, Økstad OA. What sets Bacillus anthracis apart from other Bacillus species? Annu Rev Microbiol. 2009;63:451–76. doi: 10.1146/annurev.micro.091208.073255. [DOI] [PubMed] [Google Scholar]
  • 17.Radnedge L, Agron PG, Hill KK, Jackson PJ, Ticknor LO, Keim P, Andersen GL. Genome differences that distinguish Bacillus anthracis from Bacillus cereus and Bacillus thuringiensis. Appl Environ Microbiol. 2003;69:2755–64. doi: 10.1128/AEM.69.5.2755-2764.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bode E, Hurtle W, Norwood D. Real-time PCR assay for a unique chromosomal sequence of Bacillus anthracis. J Clin Microbiol. 2004;42:5825–31. doi: 10.1128/JCM.42.12.5825-5831.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Olsen JS, Skogan G, Fykse EM, Rawlinson EL, Tomaso H, Granum PE, Blatny JM. Genetic distribution of 295 Bacillus cereus group members based on adk-screening in combination with MLST (Multilocus Sequence Typing) used for validating a primer targeting a chromosomal locus in B. anthracis. J Microbiol Methods. 2007;71:265–74. doi: 10.1016/j.mimet.2007.10.001. [DOI] [PubMed] [Google Scholar]
  • 20.Easterday WR, Van Ert MN, Simonson TS, Wagner DM, Kenefic LJ, Allender CJ, Keim P. Use of single nucleotide polymorphisms in the plcR gene for specific identification of Bacillus anthracis. J Clin Microbiol. 2005;43:1995–7. doi: 10.1128/JCM.43.4.1995-1997.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Antwerpen MH, Zimmermann P, Bewley K, Frangoulidis D, Meyer H. Real-time PCR system targeting a chromosomal marker specific for Bacillus anthracis. Mol Cell Probes. 2008;22:313–5. doi: 10.1016/j.mcp.2008.06.001. [DOI] [PubMed] [Google Scholar]
  • 22.Janse I, Hamidjaja RA, Bok JM, van Rotterdam BJ. Reliable detection of Bacillus anthracis, Francisella tularensis and Yersinia pestis by using multiplex qPCR including internal controls for nucleic acid extraction and amplification. BMC Microbiol. 2010;10:314. doi: 10.1186/1471-2180-10-314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Easterday WR, Van Ert MN, Zanecki S, Keim P. Specific detection of bacillus anthracis using a TaqMan mismatch amplification mutation assay. Biotechniques. 2005;38:731–5. doi: 10.2144/05385ST03. [DOI] [PubMed] [Google Scholar]
  • 24.Qi Y, Patra G, Liang X, Williams LE, Rose S, Redkar RJ, DelVecchio VG. Utilization of the rpoB gene as a specific chromosomal marker for real-time PCR detection of Bacillus anthracis. Appl Environ Microbiol. 2001;67:3720–7. doi: 10.1128/AEM.67.8.3720-3727.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Satterfield BC, Kulesh DA, Norwood DA, Wasieloski LP, Jr., Caplan MR, West JA. Tentacle Probes: differentiation of difficult single-nucleotide polymorphisms and deletions by presence or absence of a signal in real-time PCR. Clin Chem. 2007;53:2042–50. doi: 10.1373/clinchem.2007.091488. [DOI] [PubMed] [Google Scholar]
  • 26.Andersen GL, Simchock JM, Wilson KH. Identification of a region of genetic variability among Bacillus anthracis strains and related species. J Bacteriol. 1996;178:377–84. doi: 10.1128/jb.178.2.377-384.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Jackson PJ, Hugh-Jones ME, Adair DM, Green G, Hill KK, Kuske CR, Grinberg LM, Abramova FA, Keim P. PCR analysis of tissue samples from the 1979 Sverdlovsk anthrax victims: the presence of multiple Bacillus anthracis strains in different victims. Proc Natl Acad Sci U S A. 1998;95:1224–9. doi: 10.1073/pnas.95.3.1224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Keim P, Price LB, Klevytska AM, Smith KL, Schupp JM, Okinaka R, Jackson PJ, Hugh-Jones ME. Multiple-locus variable-number tandem repeat analysis reveals genetic relationships within Bacillus anthracis. J Bacteriol. 2000;182:2928–36. doi: 10.1128/JB.182.10.2928-2936.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Cherif A, Borin S, Rizzi A, Ouzari H, Boudabous A, Daffonchio D. Characterization of a repetitive element polymorphism-polymerase chain reaction chromosomal marker that discriminates Bacillus anthracis from related species. J Appl Microbiol. 2002;93:456–62. doi: 10.1046/j.1365-2672.2002.01712.x. [DOI] [PubMed] [Google Scholar]
  • 30.Daffonchio D, Borin S, Frova G, Gallo R, Mori E, Fani R, Sorlini C. A randomly amplified polymorphic DNA marker specific for the Bacillus cereus group is diagnostic for Bacillus anthracis. Appl Environ Microbiol. 1999;65:1298–303. doi: 10.1128/aem.65.3.1298-1303.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ramisse V, Patra G, Garrigue H, Guesdon JL, Mock M. Identification and characterization of Bacillus anthracis by multiplex PCR analysis of sequences on plasmids pXO1 and pXO2 and chromosomal DNA. FEMS Microbiol Lett. 1996;145:9–16. doi: 10.1111/j.1574-6968.1996.tb08548.x. [DOI] [PubMed] [Google Scholar]
  • 32.Ramisse V, Patra G, Vaissaire J, Mock M. The Ba813 chromosomal DNA sequence effectively traces the whole Bacillus anthracis community. J Appl Microbiol. 1999;87:224–8. doi: 10.1046/j.1365-2672.1999.00874.x. [DOI] [PubMed] [Google Scholar]
  • 33.Brightwell G, Pearce M, Leslie D. Development of internal controls for PCR detection of Bacillus anthracis. Mol Cell Probes. 1998;12:367–77. doi: 10.1006/mcpr.1998.0195. [DOI] [PubMed] [Google Scholar]
  • 34.Cheun HI, Makino SI, Watarai M, Shirahata T, Uchida I, Takeshi K. A simple and sensitive detection system for Bacillus anthracis in meat and tissue. J Appl Microbiol. 2001;91:421–6. doi: 10.1046/j.1365-2672.2001.01395.x. [DOI] [PubMed] [Google Scholar]
  • 35.Coker PR, Smith KL, Fellows PF, Rybachuck G, Kousoulas KG, Hugh-Jones ME. Bacillus anthracis virulence in Guinea pigs vaccinated with anthrax vaccine adsorbed is linked to plasmid quantities and clonality. J Clin Microbiol. 2003;41:1212–8. doi: 10.1128/JCM.41.3.1212-1218.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Luna VA, King D, Davis C, Rycerz T, Ewert M, Cannons A, Amuso P, Cattani J. Novel sample preparation method for safe and rapid detection of Bacillus anthracis spores in environmental powders and nasal swabs. J Clin Microbiol. 2003;41:1252–5. doi: 10.1128/JCM.41.3.1252-1255.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Wang SH, Wen JK, Zhou YF, Zhang ZP, Yang RF, Zhang JB, Chen J, Zhang XE. Identification and characterization of Bacillus anthracis by multiplex PCR on DNA chip. Biosens Bioelectron. 2004;20:807–13. doi: 10.1016/j.bios.2004.03.019. [DOI] [PubMed] [Google Scholar]
  • 38.Vahedi F, Moazeni Jula G, Kianizadeh M, Mahmoudi M. Characterization of Bacillus anthracis spores isolates from soil by biochemical and multiplex PCR analysis. East Mediterr Health J. 2009;15:149–56. [PubMed] [Google Scholar]
  • 39.Leski TA, Caswell CC, Pawlowski M, Klinke DJ, Bujnicki JM, Hart SJ, Lukomski S. Identification and classification of bcl genes and proteins of Bacillus cereus group organisms and their application in Bacillus anthracis detection and fingerprinting. Appl Environ Microbiol. 2009;75:7163–72. doi: 10.1128/AEM.01069-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.WHO. Guidelines for the surveillance and control of anthrax in human and animals. In: Turnbull PC, ed. Geneva, Switzerland: WHO Press, 1998. [Google Scholar]
  • 41.Ryu C, Lee K, Yoo C, Seong WK, Oh HB. Sensitive and rapid quantitative detection of anthrax spores isolated from soil samples by real-time PCR. Microbiol Immunol. 2003;47:693–9. doi: 10.1111/j.1348-0421.2003.tb03434.x. [DOI] [PubMed] [Google Scholar]
  • 42.Hoffmaster AR, Meyer RF, Bowen MD, Marston CK, Weyant RS, Thurman K, Messenger SL, Minor EE, Winchell JM, Rassmussen MV, et al. Evaluation and validation of a real-time polymerase chain reaction assay for rapid identification of Bacillus anthracis. Emerg Infect Dis. 2002;8:1178–82. doi: 10.3201/eid0810.020393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kim K, Seo J, Wheeler K, Park C, Kim D, Park S, Kim W, Chung SI, Leighton T. Rapid genotypic detection of Bacillus anthracis and the Bacillus cereus group by multiplex real-time PCR melting curve analysis. FEMS Immunol Med Microbiol. 2005;43:301–10. doi: 10.1016/j.femsim.2004.10.005. [DOI] [PubMed] [Google Scholar]
  • 44.WHO. Anthrax in humans and animals. In: Turnbull PC, ed. Geneva, Switzerland: WHO Press 2008. [Google Scholar]
  • 45.Kim W, Kim JY, Cho SL, Nam SW, Shin JW, Kim YS, Shin HS. Glycosyltransferase: a specific marker for the discrimination of Bacillus anthracis from the Bacillus cereus group. J Med Microbiol. 2008;57:279–86. doi: 10.1099/jmm.0.47642-0. [DOI] [PubMed] [Google Scholar]
  • 46.Létant SE, Murphy GA, Alfaro TM, Avila JR, Kane SR, Raber E, Bunt TM, Shah SR. Rapid-viability PCR method for detection of live, virulent Bacillus anthracis in environmental samples. Appl Environ Microbiol. 2011;77:6570–8. doi: 10.1128/AEM.00623-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Wielinga PR, Hamidjaja RA, Agren J, Knutsson R, Segerman B, Fricker M, Ehling-Schulz M, de Groot A, Burton J, Brooks T, et al. A multiplex real-time PCR for identifying and differentiating B. anthracis virulent types. Int J Food Microbiol. 2011;145(Suppl 1):S137–44. doi: 10.1016/j.ijfoodmicro.2010.07.039. [DOI] [PubMed] [Google Scholar]
  • 48.Oggioni MR, Meacci F, Carattoli A, Ciervo A, Orru G, Cassone A, Pozzi G. Protocol for real-time PCR identification of anthrax spores from nasal swabs after broth enrichment. J Clin Microbiol. 2002;40:3956–63. doi: 10.1128/JCM.40.11.3956-3963.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ellerbrok H, Nattermann H, Ozel M, Beutin L, Appel B, Pauli G. Rapid and sensitive identification of pathogenic and apathogenic Bacillus anthracis by real-time PCR. FEMS Microbiol Lett. 2002;214:51–9. doi: 10.1111/j.1574-6968.2002.tb11324.x. [DOI] [PubMed] [Google Scholar]
  • 50.Ko KS, Kim JM, Kim JW, Jung BY, Kim W, Kim IJ, Kook YH. Identification of Bacillus anthracis by rpoB sequence analysis and multiplex PCR. J Clin Microbiol. 2003;41:2908–14. doi: 10.1128/JCM.41.7.2908-2914.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Drago L, Lombardi A, Vecchi ED, Gismondo MR. Real-time PCR assay for rapid detection of Bacillus anthracis spores in clinical samples. J Clin Microbiol. 2002;40:4399. doi: 10.1128/JCM.40.11.4399.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Hurtle W, Bode E, Kulesh DA, Kaplan RS, Garrison J, Bridge D, House M, Frye MS, Loveless B, Norwood D. Detection of the Bacillus anthracis gyrA gene by using a minor groove binder probe. J Clin Microbiol. 2004;42:179–85. doi: 10.1128/JCM.42.1.179-185.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Derzelle S, Mendy C, Laroche S, Madani N. Use of high-resolution melting and melting temperature-shift assays for specific detection and identification of Bacillus anthracis based on single nucleotide discrimination. J Microbiol Methods. 2011;87:195–201. doi: 10.1016/j.mimet.2011.08.005. [DOI] [PubMed] [Google Scholar]
  • 54.Yamada S, Ohashi E, Agata N, Venkateswaran K. Cloning and nucleotide sequence analysis of gyrB of Bacillus cereus, B. thuringiensis, B. mycoides, and B. anthracis and their application to the detection of B. cereus in rice. Appl Environ Microbiol. 1999;65:1483–90. doi: 10.1128/aem.65.4.1483-1490.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Park SH, Oh HB, Seong WK, Kim CW, Cho SY, Yoo CK. Differential analysis of Bacillus anthracis after pX01 plasmid curing and comprehensive data on Bacillus anthracis infection in macrophages and glial cells. Proteomics. 2007;7:3743–58. doi: 10.1002/pmic.200700338. [DOI] [PubMed] [Google Scholar]
  • 56.Gierczyński R, Zasada AA, Raddadi N, Merabishvili M, Daffonchio D, Rastawicki W, Jagielski M. Specific Bacillus anthracis identification by a plcR-targeted restriction site insertion-PCR (RSI-PCR) assay. FEMS Microbiol Lett. 2007;272:55–9. doi: 10.1111/j.1574-6968.2007.00741.x. [DOI] [PubMed] [Google Scholar]
  • 57.Irenge LM, Durant JF, Tomaso H, Pilo P, Olsen JS, Ramisse V, Mahillon J, Gala JL. Development and validation of a real-time quantitative PCR assay for rapid identification of Bacillus anthracis in environmental samples. Appl Microbiol Biotechnol. 2010;88:1179–92. doi: 10.1007/s00253-010-2848-0. [DOI] [PubMed] [Google Scholar]
  • 58.Nübel U, Schmidt PM, Reiss E, Bier F, Beyer W, Naumann D. Oligonucleotide microarray for identification of Bacillus anthracis based on intergenic transcribed spacers in ribosomal DNA. FEMS Microbiol Lett. 2004;240:215–23. doi: 10.1016/j.femsle.2004.09.042. [DOI] [PubMed] [Google Scholar]
  • 59.Daffonchio D, Raddadi N, Merabishvili M, Cherif A, Carmagnola L, Brusetti L, Rizzi A, Chanishvili N, Visca P, Sharp R, et al. Strategy for identification of Bacillus cereus and Bacillus thuringiensis strains closely related to Bacillus anthracis. Appl Environ Microbiol. 2006;72:1295–301. doi: 10.1128/AEM.72.2.1295-1301.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Hadjinicolaou AV, Demetriou VL, Hezka J, Beyer W, Hadfield TL, Kostrikis LG. Use of molecular beacons and multi-allelic real-time PCR for detection of and discrimination between virulent Bacillus anthracis and other Bacillus isolates. J Microbiol Methods. 2009;78:45–53. doi: 10.1016/j.mimet.2009.04.005. [DOI] [PubMed] [Google Scholar]
  • 61.Zasada AA, Gierczynski R, Raddadi N, Daffonchio D, Jagielski M. Some Bacillus thuringiensis strains share rpoB nucleotide polymorphisms also present in Bacillus anthracis. J Clin Microbiol. 2006;44:1606–7. doi: 10.1128/JCM.44.4.1606-1607.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Sacchi CT, Whitney AM, Mayer LW, Morey R, Steigerwalt A, Boras A, Weyant RS, Popovic T. Sequencing of 16S rRNA gene: a rapid tool for identification of Bacillus anthracis. Emerg Infect Dis. 2002;8:1117–23. doi: 10.3201/eid0810.020391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Bourque SN, Valero JR, Lavoie MC, Levesque RC. Comparative Analysis of the 16S to 23S Ribosomal Intergenic Spacer Sequences of Bacillus thuringiensis Strains and Subspecies and of Closely Related Species. Appl Environ Microbiol. 1995;61:2811. doi: 10.1128/aem.61.7.2811-2811b.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Agren J, Sundström A, Håfström T, Segerman B. Gegenees: fragmented alignment of multiple genomes for determining phylogenomic distances and genetic signatures unique for specified target groups. PLoS One. 2012;7:e39107. doi: 10.1371/journal.pone.0039107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Lewerin SS, Elvander M, Westermark T, Hartzell LN, Norström AK, Ehrs S, Knutsson R, Englund S, Andersson AC, Granberg M, et al. Anthrax outbreak in a Swedish beef cattle herd--1st case in 27 years: Case report. Acta Vet Scand. 2010;52:7. doi: 10.1186/1751-0147-52-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Sozhamannan S, Chute MD, McAfee FD, Fouts DE, Akmal A, Galloway DR, Mateczun A, Baillie LW, Read TD. The Bacillus anthracis chromosome contains four conserved, excision-proficient, putative prophages. BMC Microbiol. 2006;6:34. doi: 10.1186/1471-2180-6-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.OIE. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. 7th ed. 2012.
  • 68.Josefsen MH, Löfström C, Hansen T, Reynisson E, Hoorfar J. Instrumentation and fluorescent chemistries used in qPCR. In: Filion M, ed. qPCR in applied microbiology. Norfolk, UK: Caister Academic Press 2012:27-52. [Google Scholar]
  • 69.Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37:360–3. [PubMed] [Google Scholar]
  • 70.AFNOR. Méthodes d'analyse en santé animale - PCR (réaction de polymérisation en chaîne) - Part 2: exigences et recommandations pour le développement et la validation de la PCR en santé animale. La Plaine Saint-Denis, France: AFNOR, 2014. [Google Scholar]

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