B. cereus is responsible for thousands of cases of foodborne disease each year worldwide, causing two distinct forms of illness: (i) intoxication via cereulide (i.e., emetic syndrome) or (ii) toxicoinfection via multiple enterotoxins (i.e., diarrheal syndrome). Here, we show that emetic B. cereus is not a clonal, homogenous unit that resulted from a single cereulide synthetase gain event followed by subsequent proliferation; rather, cereulide synthetase acquisition and loss is a dynamic, ongoing process that occurs across lineages, allowing some group III B. cereus sensu lato populations to oscillate between diarrheal and emetic foodborne pathogens over the course of their evolutionary histories. We also highlight the care that must be taken when selecting a reference genome for whole-genome sequencing-based investigation of emetic B. cereus sensu lato outbreaks, since some reference genome selections can lead to a confounding loss of resolution and potentially hinder epidemiological investigations.
KEYWORDS: Bacillus Emeticus, Bacillus cereus, emetic Bacillus cereus, cereulide, foodborne illness, genomic epidemiology, phylogenomics
ABSTRACT
Cereulide-producing members of Bacillus cereus sensu lato group III (also known as emetic B. cereus) possess cereulide synthetase, a plasmid-encoded, nonribosomal peptide synthetase encoded by the ces gene cluster. Despite the documented risks that cereulide-producing strains pose to public health, the level of genomic diversity encompassed by emetic B. cereus has never been evaluated at a whole-genome scale. Here, we employ a phylogenomic approach to characterize group III B. cereus sensu lato genomes which possess ces (ces positive) alongside their closely related, ces-negative counterparts (i) to assess the genomic diversity encompassed by emetic B. cereus and (ii) to identify potential ces loss and/or gain events within the evolutionary history of the high-risk and medically relevant sequence type (ST) 26 lineage often associated with emetic foodborne illness. Using all publicly available ces-positive group III B. cereus sensu lato genomes and the ces-negative genomes interspersed among them (n = 159), we show that emetic B. cereus is not clonal; rather, multiple lineages within group III harbor cereulide-producing strains, all of which share an ancestor incapable of producing cereulide (posterior probability = 0.86 to 0.89). Members of ST 26 share an ancestor that existed circa 1748 (95% highest posterior density [HPD] interval = 1246.89 to 1915.64) and first acquired the ability to produce cereulide before 1876 (95% HPD = 1641.43 to 1946.70). Within ST 26 alone, two subsequent ces gain events were observed, as well as three ces loss events, including among isolates responsible for B. cereus sensu lato toxicoinfection (i.e., “diarrheal” illness).
INTRODUCTION
The Bacillus cereus group, also known as B. cereus sensu lato, is a complex of closely related, Gram-positive, spore-forming lineages, which vary in their ability to cause illness in humans (1). Members of B. cereus sensu lato were estimated to be responsible for more than 256,000 foodborne intoxications worldwide in 2010 (2), although this is likely an underestimate due to the mild symptoms frequently associated with this illness (1). Foodborne B. cereus intoxication (i.e., “emetic” illness) is caused by cereulide, a highly heat- and pH-stable toxin, which is preformed in food prior to consumption. These intoxications have a relatively short incubation period (typically 0.5 to 6 h) and are often accompanied by symptoms of vomiting and nausea (1, 3–5). This can be contrasted with B. cereus toxicoinfection (i.e., “diarrheal” illness), a different form of illness in which multiple enterotoxins produced within the host small intestine yield diarrheal symptoms which typically onset after 8 to 16 h (1, 6). Notably, emetic and diarrheal symptoms are not always congruent with B. cereus emetic and diarrheal syndromes, respectively, as both vomiting and diarrhea may be reported among cases (7, 8).
Production of cereulide, the toxin responsible for emetic B. cereus foodborne illness, can be attributed to cereulide synthetase, a nonribosomal peptide synthetase encoded by the cereulide synthetase biosynthetic gene cluster (ces) (9, 10). ces has been detected in two major B. cereus sensu lato phylogenetic groups (assigned using the sequence of pantoate-beta-alanine ligase [panC] and a seven-group typing scheme): group III and group VI (10–16). While cereulide-producing group VI strains, also known as “emetic B. weihenstephanensis,” have been isolated on rare occasions (14, 15, 17–19), the bulk of cereulide-producing strains belong to group III (8, 10, 13, 16). Often referred to as “emetic B. cereus,” cereulide-producing group III strains often harbor ces on plasmids (9, 10, 19) and have been linked to outbreaks around the world (5, 7, 8, 20). It is essential to note that group III B. cereus sensu lato isolates do not belong to the B. cereus sensu stricto species (i.e., B. cereus sensu lato group IV) (7, 21).
Despite the documented risks that cereulide-producing strains pose to public health, the level of diversity encompassed by emetic B. cereus has not been evaluated at a whole-genome scale. Furthermore, potential heterogeneity in cereulide production capabilities among lineages encompassed by emetic B. cereus has never been assessed; plasmid-encoded ces, and thus the ability to produce cereulide, can hypothetically be gained or lost within a lineage, although the extent to which this happens is unknown. Here, we employ phylogenomic approaches to characterize group III B. cereus sensu lato genomes that possess ces (ces positive) alongside their closely related ces-negative counterparts (i) to assess the genomic diversity encompassed by cereulide-producing group III strains (i.e., emetic B. cereus) and (ii) to identify potential ces loss and/or gain events within the emetic B. cereus evolutionary history.
RESULTS
Cereulide-producing group III B. cereus sensu lato strains are distributed across multiple lineages and share an ancestor incapable of synthesizing cereulide.
Overall, 31 sequence types (STs) assigned using in silico multilocus sequence typing (MLST) were observed among 159 group III isolates included in this study, with genomes that possessed cesABCD (referred to here as “ces-positive” genomes) represented by five STs (ST 26, 144, 164, 869, and 2056; Fig. 1 and see Table S1 in the supplemental material). Four of these STs (ST 26, 144, 164, and 869) also encompassed one or more isolates that lacked cereulide synthetase (referred to here as “ces-negative isolates”; Fig. 1 and see Table S1).
The group III genomes queried here were distributed into three major clusters and nine subclusters using RhierBAPs, with ces-positive isolates present in two and five clusters and subclusters, respectively (Fig. 1). When PopCOGenT was used to delineate populations using recent gene flow, genomes were distributed among two subclusters (i.e., populations), with ces-positive genomes present in both subclusters. All genomes were assigned to a single “main cluster,” a unit that has been proposed to mirror the “species” definition applied to plants and animals (Fig. 1) (22). Congruent with these findings, average nucleotide identity (ANI) values calculated between genomes confirmed that all cereulide-producing group III strains are members of the same genomospecies using any previously proposed genomospecies threshold for B. cereus sensu lato (i.e., 92.5 to 96 ANI) (21, 23–26). However, considerable genomic diversity existed among cereulide-producing isolates, as ces-positive genomes could share as low as 97.5 ANI with others (Fig. 2).
The common ancestor of all ces-positive group III genomes was predicted to not possess ces, regardless of outgroup, use of core or majority single nucleotide polymorphisms (SNPs), or root prior (ces-negative state posterior probability [PP] 0.86 to 0.89; Fig. 1, Fig. S1 and S2 [https://doi.org/10.6084/m9.figshare.c.5057276.v1], and Table S2). For STs 144, 164, 869, and 2056, a single ces-positive isolate was present among genomes assigned to the ST (Fig. 1). Consequently, a single acquisition event was predicted to be responsible for the presence of ces-positive lineages within each of these STs, and the common ancestor shared by each ST encompassing more than one genome was predicted to lack ces (Fig. 1, Fig. S1 and S2 [https://doi.org/10.6084/m9.figshare.c.5057276.v1], and Table S2). The common ancestor shared by ST 26 was predicted to not possess ces when core SNPs were used for phylogeny construction (ces-negative PP 0.78 to 0.83, depending on choice of outgroup; Fig. 1, Fig. S1 and S2, and Table S2); however, the inclusion of noncore SNPs (i.e., all or majority SNPs) and choice of clusters used for ancestral state reconstruction led to greater uncertainty (ces-negative PP 0.10 to 0.61; Table S2).
ST 26 first acquired the ability to produce cereulide prior to 1876.
ST 26 was the only ST that encompassed multiple ces-negative and ces-positive strains (Fig. 1); therefore, the dynamics of cereulide synthetase loss and gain could be assessed among members of this lineage. ST 26 isolates in this study were predicted to evolve from a common ancestor that existed circa 1747.83 (95% highest posterior density interval [HPD] 1246.89 to 1915.64; Fig. 3 and Fig. S3 to S10 [https://doi.org/10.6084/m9.figshare.c.5057276.v1]) with an estimated evolutionary rate of 1.52 × 10−7 substitutions/site/year (95% HPD 3.55 × 10−8 to 2.59 × 10−7 substitutions/site/year; see Tables S3 and S4 in the supplemental material). ces was predicted to have been first acquired within ST 26 prior to ≈1876 (95% HPD 1641.43 to 1946.70, respectively; Fig. 3 and 4, Fig. S11 to S18 [https://doi.org/10.6084/m9.figshare.c.5057276.v1], and Table S5). Two subsequent ces gain events within ST 26 were observed: (i) one after 1897.93 (95% HPD 1692.71 to 1965.73), and (ii) a second after 1926.29 (95% HPD 1775.85 to 1987.95). ces loss events among ST 26 were predicted to have occurred on three occasions: (i) after 1916.54 (95% HPD 1758.18 to 1965.89), (ii) after 1946.83 (95% HPD 1850.98 to 1982.83), and (iii) between 1948.38 and 1958.19 (95% HPD 1832.50 to 1985.02 and 1856.69 to 1990.36, respectively; Fig. 3 and 4, Fig. S11 to S18 [https://doi.org/10.6084/m9.figshare.c.5057276.v1], and Table S5) (16).
Choice of emetic group III reference genome for reference-based SNP calling affects ST 26 phylogenomic topology.
SNP identification using reference-based approaches and subsequent phylogeny construction are critical methods used in foodborne pathogen surveillance and outbreak investigation efforts. To determine whether choice of emetic reference genome could affect the topology of the ST 26 phylogeny, SNPs were identified among 64 ST 26 genomes using four reference-based SNP calling pipelines and six emetic reference genomes, which encompassed all observed group III emetic STs (Table 1). Notably, the emetic group III genome that was most distantly related to ST 26 (ST 869) did not yield sufficient resolution to produce a phylogeny when it was used as a reference for BactSNP/Gubbins and Snippy/Gubbins (Tables 1 and 2). For the BactSNP pipeline, the emetic ST 2056 genome additionally did not yield an alignment of SNPs among ST 26 isolates when it was used as a reference (Tables 1 and 2).
TABLE 1.
Reference genome |
Kendall-Colijn test raw P valuesc
|
|||||||
---|---|---|---|---|---|---|---|---|
Strain | NCBI RefSeq accession | Assembly level | MLST STa | ANI range (mean)b | BactSNP | Lyve-SET | Parsnp | Snippy |
AH187 | NC_011658.1 | Complete genome | 26 | 99.8–100.0 (99.9) | 0/0 | 0/0 | 0/0 | 0/0 |
IS195 | GCF_000399225.1 | Scaffold | 26 | 99.6–100.0 (99.7) | 0/0 | 0/0 | 0/0 | 0/0 |
AND1407 | GCF_000290995.1 | Scaffold | 164 | 98.9–99.2 (99.1) | 0/0 | 0/0 | 0/0 | 0/0 |
MB.17 | GCF_001566445.1 | Contigs | 144 | 98.8–99.1 (99.0) | 0/0 | 3.0 × 10–4/0 | 0/1.0 | 0/1.0 |
MB.18 | GCF_001566385.1 | Contigs | 2056 | 97.4–97.8 (97.6) | NAd | 2.0 × 10–4/0 | 0/0 | 0/0 |
MB.22 | GCF_001566535.1 | Contigs | 869 | 97.4–97.7 (97.6) | NAe | 3.0 × 10–4/0 | 0/0 | NAe |
Seven-gene multilocus sequence typing (MLST) sequence types (ST) were determined in silico using BTyper v2.3.3.
Range and mean average nucleotide identity (ANI) values were calculated between the respective reference genome and 64 group III B. cereus sensu lato genomes assigned to ST 26 using FastANI v1.0.
Data are presented as “AH187 Reference Tree/AH187 Query Tree.” For each reference-based SNP calling pipeline (i.e., BactSNP, Lyve-SET, Parsnp, and Snippy), the phylogeny produced using SNPs identified among 64 B. cereus sensu lato ST 26 isolates using the respective SNP calling pipeline and the chromosome of B. cereus sensu lato ST 26 strain AH187 as a reference genome was used as a (i) reference tree and (ii) query tree for the Kendall-Colijn test, since the chromosome of strain AH187 has been shown to be an adequate reference genome for reference-based SNP calling among ST 26 genomes (7). NA, not applicable.
No SNPs identified among the 64 B. cereus sensu lato ST 26 genomes using the respective SNP calling pipeline/reference genome combination.
SNPs identified using the respective SNP calling pipeline/reference genome combination were not diverse enough for use with Gubbins/IQ-TREE.
TABLE 2.
SNP calling pipeline | Reference strain | MLSTa | ANI range (mean)b | Range (median; mean) |
Min/Max differencec | ||
---|---|---|---|---|---|---|---|
Within NYS outbreak | Between NYS and non-NYS outbreaks | Within non-NYS outbreak | |||||
BactSNP | AH187d | 26 | 99.8–100.0 (99.9) | 0–8 (2; 2.7) | 58–381 (127; 149.6) | 0–477 (162; 183.3) | 50 |
IS195 | 26 | 99.6–100.0 (99.7) | 0–8 (2; 2.7) | 58–385 (128; 153.9) | 0–483 (167; 187.7) | 50 | |
AND1407 | 164 | 98.9–99.2 (99.1) | 0–8 (2; 2.7) | 56–378 (125; 147.3) | 0–472 (157; 178.1) | 48 | |
MB.17 | 144 | 98.8–99.1 (99.0) | 0 to 7 (2; 2.3) | 57–370 (123; 144.3) | 0–448 (153; 175.3) | 50 | |
MB.18 | 2056 | 97.4–97.8 (97.6) | NAe | NAe | NAe | NAe | |
MB.22 | 869 | 97.4–97.7 (97.6) | NAf | NAf | NAf | NAf | |
Lyve-SET | AH187d | 26 | 99.8–100.0 (99.9) | 0–7 (2; 2.6) | 61–1,840 (169; 510.4) | 0–2,246 (198; 520.9) | 54 |
IS195 | 26 | 99.6–100.0 (99.7) | 0–6 (2; 2.3) | 61–1,421 (174; 428.1) | 0–1,834 (192; 447.7) | 55 | |
AND1407 | 164 | 98.9–99.2 (99.1) | 0–5 (2; 2.3) | 56–1,622 (147; 449.0) | 0–1,943 (167; 451.7) | 51 | |
MB.17 | 144 | 98.8–99.1 (99.0) | 0–5 (2; 2.0) | 56–1,479 (144; 419.2) | 0–1,830 (168; 429.7) | 51 | |
MB.18 | 2056 | 97.4–97.8 (97.6) | 0–4 (1; 1.6) | 47–1,336 (114; 367.2) | 0–1,578 (126; 363.0) | 43 | |
MB.22 | 869 | 97.4–97.7 (97.6) | 0–4 (1; 1.6) | 44–1,323 (115; 363.3) | 0–1,576 (127; 360.0) | 40 | |
Parsnp | AH187d | 26 | 99.8–100.0 (99.9) | 0–44 (9; 12.0) | 59–2,404 (190; 697.4) | 0–3,250 (260; 754.1) | 15 |
IS195 | 26 | 99.6–100.0 (99.7) | 0–43 (9; 12.1) | 62–2,414 (209; 705.3) | 0–3,280 (269; 762) | 19 | |
AND1407 | 164 | 98.9–99.2 (99.1) | 0–44 (9; 11.8) | 59–2,399 (185; 642.9) | 0–2,832 (249–647.1) | 15 | |
MB.17 | 144 | 98.8–99.1 (99.0) | 0–42 (9; 11.8) | 63–2,130 (189; 583.5) | 0–2,527 (245; 585.9) | 21 | |
MB.18 | 2056 | 97.4–97.8 (97.6) | 0–41 (8; 10.6) | 56–2,191 (170; 593) | 0–2,551 (226; 596.3) | 15 | |
MB.22 | 869 | 97.4–97.7 (97.6) | 0–37 (8; 10.5) | 57–2,180 (167; 595.1) | 0–2,567 (227; 597.3) | 20 | |
Snippy | AH187d | 26 | 99.8–100.0 (99.9) | 0–7 (2; 2.6) | 57–372 (146; 155.5) | 0–444 (157; 177.6) | 50 |
IS195 | 26 | 99.6–100.0 (99.7) | 0–7 (2; 2.6) | 58–370 (145; 153.6) | 0–436 (157; 176.2) | 51 | |
AND1407 | 164 | 98.9–99.2 (99.1) | 0–18 (5; 4.9) | 55–368 (143; 152.9) | 0–434 (156; 173) | 37 | |
MB.17 | 144 | 98.8–99.1 (99.0) | 0–20 (4; 4.4) | 60–373 (138; 151.8) | 0–436 (153; 171.9) | 40 | |
MB.18 | 2056 | 97.4–97.8 (97.6) | 0–50 (5; 9.3) | 55–350 (128; 145.7) | 0–401 (133; 159.5) | 5 | |
MB.22 | 869 | 97.4–97.7 (97.6) | NAf | NAf | NAf | NAf |
Seven-gene multilocus sequence types (MLST) were determined in silico using BTyper v2.3.3.
ANI range and mean values were calculated between the respective reference genome and 64 group III B. cereus sensu lato genomes assigned to ST 26 using FastANI v1.0.
The Min/Max difference is the maximum number of SNPs identified between two outbreak isolates subtracted from the minimum number of SNPs between an outbreak and nonoutbreak isolate.
AH187 has previously been shown to be an adequate reference genome for reference-based SNP calling among emetic ST 26 genomes (7).
No SNPs identified among the 64 B. cereus sensu lato ST 26 genomes using the respective SNP calling pipeline/reference genome combination.
SNPs identified using the respective SNP calling pipeline/reference genome combination were not diverse enough for use with Gubbins/IQ-TREE.
For the remaining SNP calling pipeline/reference genome combinations, the resulting phylogeny was compared to the phylogeny produced using the respective pipeline and the chromosome of ST 26 strain AH187 as a reference. In addition to being a well-characterized emetic strain for which a closed genome is available, strain AH187 was closely related to the 64 ST 26 isolates queried here and has previously been shown to serve as an adequate reference genome for SNP calling within ST 26 (7). For all SNP calling pipelines, phylogenies produced using the genomes of emetic ST 26 strain IS195 and emetic ST 164 strain AND1407 as references were more topologically similar to those produced using strain AH187 than would be expected by chance (Kendall-Colijn P < 0.05 after a Bonferroni correction; Table 1). However, the topology of phylogenies produced using Parsnp and Snippy with emetic ST 144 strain MB.17 differed from that produced using strain AH187 (Kendall-Colijn P > 0.05 after a Bonferroni correction; Table 1). Lyve-SET was the only pipeline that produced phylogenies that were more topologically similar to that produced using str. AH187 than would be expected by chance, regardless of emetic reference (Kendall-Colijn P < 0.05 after a Bonferroni correction; Table 1).
Despite producing phylogenies that resembled the AH187 phylogeny for five of six emetic reference genomes (Kendall-Colijn P < 0.05 after a Bonferroni correction; Table 1), core SNPs identified with Parsnp yielded relatively large pairwise SNP distances between emetic ST 26 genomes from a known outbreak (7). Regardless of reference genome selection, the difference between the minimum number of SNPs shared between outbreak and nonoutbreak isolates and the maximum number of SNPs detected between two outbreak isolates was less than the maximum number of SNPs shared between two outbreak isolates (Table 2). A similar phenomenon was observed when Snippy was used with a distant emetic ST 2056 strain as a reference (Table 2).
DISCUSSION
Group III B. cereus sensu lato isolates capable of causing emetic foodborne illness are not clonal.
Cereulide-producing B. cereus sensu lato strains are estimated to be responsible for thousands of cases of foodborne illness each year worldwide (2), including rare but severe forms of illness which may result in death (27–31). Although efforts to characterize this important pathogen using whole-genome sequencing have begun only recently, the amount of publicly available genomic data derived from emetic B. cereus has been increasing (21). Consequently, the current dogma regarding the evolutionary history of this group of organisms must be revisited. In early studies of cereulide-producing members of group III, ces-positive isolates were confined to a highly clonal complex within B. cereus sensu lato (10, 16); however, subsequent efforts have hinted that emetic B. cereus may showcase a considerably greater degree of genomic diversity than previously thought (21, 32–34).
Using all publicly available emetic group III B. cereus sensu lato genomes and the nonemetic genomes interspersed among them, we show on a whole-genome scale that emetic B. cereus is not clonal. Emetic toxin production capabilities within group III are not the result of a single cereulide synthetase gain event followed by subsequent proliferation; rather, the common ancestor of all cereulide-producing group III isolates was likely incapable of producing cereulide, and emetic toxin production capabilities resulted from at least seven independent cereulide synthetase acquisition events (at least one in each of STs 144, 164, 869, and 2056 and at least three in ST 26; Fig. 1 and 4). Pairwise ANI values calculated between emetic group III strains were as low as 97.5 ANI; for comparison, all members of the highly similar B. anthracis lineage commonly attributed to anthrax illness share ≥99.9 ANI with one another (21, 35), while genomes belonging to Salmonella enterica subsp. enterica (which is not considered to be clonal) can share pairwise ANI values as low as 97.0 (calculated between 425 genomes using FastANI as described in Materials and Methods) (36).
These findings are important, as unexpected diversity can confound bioinformatic analyses used to identify outbreaks from genomic data. For example, an evolutionarily distant reference genome can affect which SNPs are identified during reference-based SNP calling among bacterial genomes (7, 37–40). This can, in turn, affect metrics used to determine whether an isolate should be included or excluded from an outbreak (e.g., the topology of a resulting phylogeny, pairwise SNP cutoffs) (7, 38–40). Here, we showed that emetic group III isolates are considerably diverse, so much so that the use of some emetic B. cereus genomes as references for SNP calling can lead to a topologically confounding loss of resolution. The use of BactSNP/Gubbins and Snippy/Gubbins with distant emetic ST 869 as a reference, for example, yielded SNPs that could not reliably differentiate ST 26 genomes from each other. In an outbreak scenario, these approaches would incorrectly place nonoutbreak isolates among outbreak ones, potentially confounding an investigation. It is thus essential that the diversity of emetic B. cereus is acknowledged and accounted for to ensure that epidemiological investigations are not hindered.
One pathogen, two illnesses: ST 26 has oscillated between emetic and diarrheal foodborne pathogens throughout its evolutionary history.
B. cereus was first established as the causative agent of foodborne illness in the 1950s (20, 41). Notably, prior to the 1970s, B. cereus illnesses were of the diarrheal type (i.e., toxicoinfection characterized by symptoms of watery diarrhea that onset 8 to 16 h after ingestion) (20). However, in the 1970s, a novel type of B. cereus illness, emetic intoxication, began to be reported (20). Characterized by symptoms of vomiting and nausea and a relatively short incubation time (i.e., 0.5 to 6 h), B. cereus emetic illness was first described in the United Kingdom in 1971 and was linked to the consumption of rice served at restaurants and take-away outlets (20). It has been hypothesized that emetic toxin production may confer a selective advantage (16), and the results reported here support the hypothesis that cereulide synthetase was acquired by some group III lineages relatively recently in their evolutionary histories (16). Here, we show that ST 26, which has frequently been associated with emetic foodborne illness (7, 32, 42, 43), likely first acquired cereulide synthetase and thus the ability to cause emetic illness prior to the twentieth century. This indicates that cereulide-producing B. cereus sensu lato may have been responsible for cryptic cases of emetic intoxication prior to the 1970s that went either undetected or unattributed to B. cereus sensu lato.
The temporal characterization of cereulide synthetase acquisition and loss provided here showcases that ST 26 has transitioned between an emetic and nonemetic pathogen over the course of its evolutionary history. It is essential to note that plasmid loss can occur during storage of B. cereus sensu lato isolates (44), which could potentially contribute to cereulide production phenotype and ces genotype incongruencies. While no such incongruencies were observed here, the majority of strains did not have enough phenotypic metadata available to definitively prove the absence of genotype/phenotype incongruencies. However, ces-negative members of ST 26 still present a relevant public health and food safety risk, since they may still be capable of causing diarrheal illness. ST 26 strain NVH 0075-95, for example, belongs to a ces-negative lineage that is predicted to have lost the ability to produce cereulide in the mid-20th century (i.e., between ca. 1948 and 1958). While previously shown to be incapable of producing cereulide, NVH 0075-95 produces nonhemolytic enterotoxin (Nhe), is highly cytotoxic, and was isolated from vegetable stew associated with a diarrheal outbreak in Norway (16, 45, 46). In addition, cereulide-producing strains can be high producers of diarrheal enterotoxins (8). It has been hypothesized that the simultaneous ingestion of food contaminated with cereulide alongside the cereulide- and enterotoxin-producing strains themselves may be responsible for a mixture of diarrheal and emetic symptoms among some B. cereus sensu lato foodborne illness cases (8), and this may partially explain why these illnesses may not always present within a strictly “emetic-versus-diarrheal” dichotomy (7, 8).
Heterogeneous emetic phenotype presentation among diverse group III B. cereus sensu lato isolates can yield taxonomic inconsistencies: the emetic B. cereus problem.
Recent inconsistencies have arisen in the B. cereus sensu lato taxonomic space: B. paranthracis, a novel species proposed in 2017 (26), was found to encompass all cereulide-producing group III B. cereus sensu lato strains at conventional species thresholds (21). Using multiple metrics for species delineation (i.e., ANI-based genomospecies assignment, methods querying recent gene flow), we confirm that all cereulide-producing group III isolates, along with B. paranthracis and the other ces-negative isolates queried here (excluding outgroup genomes), belong to a single genomospecies. However, using “B. paranthracis” to describe cereulide-producing group III members is problematic, since B. paranthracis was only recently proposed as a novel species, is not well recognized outside the small B. cereus sensu lato taxonomic space, and hence would not typically be equated with a foodborne pathogen (21).
Referring to cereulide-producing group III lineages as emetic B. cereus, however, is also problematic. Because cereulide synthetase is often plasmid-encoded (1, 9, 10, 47), it may be possible for emetic toxin production capabilities to be lost, gained, present across multiple lineages, and absent within individual lineages (21). Here, we show that this is not just a hypothetical scenario: we observed seven cereulide synthetase gain events across group III and three loss events within ST 26 alone, indicating that cereulide synthetase loss and gain is a dynamic and ongoing process. In addition, a taxonomic label of “B. cereus” as it is applied to group III B. cereus sensu lato is misleading, as group III strains are not actually members of the B. cereus sensu stricto species, regardless of which previously proposed genomospecies threshold for B. cereus sensu lato is used to define species (i.e., 92.5 to 96 ANI) (7, 21, 23–26).
Taxonomic labels applied to ces-negative isolates interspersed among cereulide-producing group III isolates (i.e., the ces-negative isolates queried here) are even more ambiguous. Some ces-negative isolates are capable of causing diarrheal illness (16, 45, 46) and are thus relevant threats to global public health; however, there is no standardized nomenclature with which these isolates can be described. For example, the following names have been used to refer to ces-negative, group III strains: emetic-like B. cereus, B. cereus, group III B. cereus, B. paranthracis, or B. cereus sensu stricto/B. cereus s.s, although it should be noted that B. cereus sensu stricto is a misnomer; as mentioned previously, group III strains do not fall within the genomospecies boundary of the B. cereus sensu stricto type strain and thus are not actually members of the B. cereus sensu stricto species (12, 16, 26, 48–51).
Recently, we proposed a nomenclatural framework that can account for emetic heterogeneity among B. cereus sensu lato genomes through the incorporation of a standardized collection of biovar terms (21), including biovar “Emeticus.” Using this framework, all cereulide-producing members of B. cereus sensu lato (including emetic B. weihenstephanensis) can be referenced using the name B. Emeticus. All cereulide-producing group III lineages are B. mosaicus subspecies cereus biovar Emeticus (full name) or B. cereus biovar Emeticus (shortened notation), while the ces-negative isolates interspersed among them are B. mosaicus subsp. cereus (full name) or B. cereus (shortened notation) (21). Note that “sensu stricto” is not appended to these names; as mentioned above, group III B. cereus sensu lato lineages do not belong to the same species as group IV B. cereus sensu stricto type strain ATCC 14579 (7, 21).
This study is the first to offer insight into the temporal dynamics of cereulide synthetase loss and gain among group III B. cereus sensu lato, and it showcases the importance of accounting for emetic heterogeneity among group III lineages. As genomic sequencing grows in popularity and more group III genomes are sequenced, the estimates provided here can be further refined and improved. Furthermore, it is likely that additional cereulide synthetase loss and gain events will be observed and that previously uncharacterized emetic group III lineages will be discovered.
MATERIALS AND METHODS
Acquisition of group III B. cereus sensu lato genomes and metadata.
All genomes submitted to NCBI RefSeq (52) as a published B. cereus sensu lato species (21, 23–26, 53) were downloaded (n = 2,231; accessed 19 November 2018). FastANI v1.0 (35) and BTyper v2.3.3 (13) were used to calculate ANI values between each genome and the type strain/species reference genomes of each of the 18 published B. cereus sensu lato species as they existed in 2019 (see Text S1 in the supplemental material) (7). Genomes that (i) most closely resembled B. paranthracis and (ii) shared an ANI value of ≥95 with B. paranthracis were used in subsequent steps (n = 120), since this set of genomes contained all group III genomes that possessed cereulide synthetase-encoding genes (described in detail below). These genomes were supplemented with 30 genomes of strains isolated in conjunction with a 2016 emetic outbreak in New York State (NYS) (7), resulting in 150 group III B. cereus sensu lato genomes (Table S1).
Metadata for all 150 genomes were obtained using publicly available records, and BTyper was used to assign each genome to a ST using the PubMLST seven-gene MLST scheme (Text S1) (54). To assess the emetic potential of each genome, BTyper was used to detect cereulide synthetase genes cesABCD in each genome, first using default coverage and identity thresholds (70 and 50%, respectively) and then a second time with 0% coverage to confirm cesABCD absence (Text S1). BTyper was additionally used to detect cesABCD in all 2,111 B. cereus sensu lato genomes not included in this study, as well as to assign all genomes to a panC group using the typing scheme described by Guinebretiere et al. (12). All 150 genomes selected for this study were assigned to panC group III, and all group III genomes possessing cesABCD were confirmed to have been included in this study. The only other genomes that possessed cesABCD belonged to panC group VI and most closely resembled B. mycoides/B. weihenstephanensis (i.e., emetic B. weihenstephanensis) (21).
Construction of group III B. cereus sensu lato maximum-likelihood phylogenies and ancestral state reconstruction.
kSNP3 v3.1 (55, 56) was used to identify (i) core and (ii) majority SNPs among the 150 genomes described above, plus one of two outgroup genomes (to ensure that choice of outgroup did not affect ancestral state reconstruction; Text S1), using the optimal k-mer size determined by Kchooser (k = 21 for both). For each of the four SNP alignments (i.e., each combination of outgroup and either core or majority SNPs), IQ-TREE v1.6.10 (57–60) was used to construct a maximum-likelihood (ML) phylogeny (Text S1).
To ensure that ancestral state reconstruction would not be affected by genomes overrepresented in RefSeq (e.g., genomes confirmed or predicted to have been derived from strains isolated from the same outbreak), potential duplicate genomes were removed using isolate metadata and by assessing clustering in the phylogenies described above. One representative genome was selected from clusters that likely consisted of duplicate genomes and/or isolates derived from the same source. For example, this procedure reduced 30 closely related isolates from an outbreak (7) to one isolate. Overall, this approach yielded a reduced, dereplicated set of 71 genomes (Table S1). kSNP3 and IQ-TREE were again used to identify core and majority SNPs and construct ML phylogenies among the set of 71 dereplicated genomes, plus each of the two outgroup genomes, as described above, but with k adjusted to the optimal k-mer size produced by Kchooser (k = 23 for both).
To estimate ancestral character states of internal nodes in the group III phylogeny as they related to cereulide production (i.e., whether a node represented an ancestor that was ces-positive or ces-negative), the presence or absence of ces within each genome was treated as a binary state. Each of the four phylogenies constructed using the dereplicated set of 71 genomes described above was rooted at its respective outgroup, and stochastic character maps were simulated on each phylogeny using the make.simmap function in the phytools package in R v3.6.1 (61), the all-rates-different (ARD) model, and one of two root node priors (eight total combinations of two root node priors and four phylogenies; Text S1 and Table S2).
Assessment of group III B. cereus sensu lato population structure.
Core SNPs detected among the 71 dereplicated group III genomes using kSNP3 (see “Construction of group III B. cereus sensu lato maximum-likelihood phylogenies and ancestral state reconstruction” above) were used as input for RhierBAPS (62) to identify clusters, using two levels. The same set of 71 genomes was used as input for PopCOGenT (downloaded 5 October 2019) to identify gene flow units and populations (Text S1) (22).
Construction of group III B. cereus sensu lato ST 26 temporal phylogeny.
A recent study (63) has shown that the common practice of removing duplicate sequences to reduce a set of genomes to a set of unique sequences can lead to biases when constructing phylogenies using Bayesian methods. To minimize potential biases introduced by both the overrepresentation of genomes derived from a single outbreak (i.e., the 2016 NYS emetic outbreak) (7, 64), as well as the biases that sequence dereplication can introduce in a Bayesian context (63), the following ST 26 genomes were used (n = 37; Text S1): (i) all RefSeq ST 26 genomes that were not part of the 2016 NYS outbreak (n = 34) and (ii) three randomly selected NYS outbreak genomes (out of 30 possible). This set of 37 genomes was supplemented with nine additional ST 26 genomes submitted to RefSeq after 2018 (accessed 14 May 2020; Text S1), yielding a final set of 46 ST 26 genomes that underwent temporal phylogeny construction (i.e., the “New 2020/Select 3 NYS” isolate set; see Table S3 and Text S1 for detailed methods regarding the numerous isolate sets that were tested). Snippy v4.3.6 (65) was used to identify core SNPs among the 46 ST 26 genomes, using the closed chromosome of emetic ST 26 strain AH187 (NCBI RefSeq accession no. NC_011658.1) as a reference genome (Text S1). Gubbins v2.3.4 (66) was used to remove recombination from the resulting alignment, and snp-sites (67) was used to obtain core SNPs among the 46 genomes. IQ-TREE was used to construct a ML phylogeny, and TempEst v1.5.3 (68) and LSD2 v1.4.2.2 (69) were used to assess the temporal signal of the resulting phylogeny (Table S3 and Text S1).
Using the ST 26 core SNP alignment as input, BEAST v2.5.1 (70, 71) was used to construct a tip-dated phylogeny (Text S1). The Standard_TVMef nucleotide substitution model implemented in the SSM package (72) was used with 5 Gamma categories, and an ascertainment bias correction was applied to account for the use of solely variant sites (Text S1) (73). A (i) relaxed lognormal molecular clock (74) with an initial clock rate of 3.92 × 10−8 substitutions/site/year (75) and a broad lognormal prior on the ucldMean parameter and (ii) Coalescent Bayesian Skyline population model (76) were used, since this was the optimal clock/population model combination selected using stepping stone sampling (77) (Table S4 and Text S1).
Five independent runs using the model described above were performed, using chain lengths of at least 100 million generations, sampling every 10,000 generations. For each independent replicate, Tracer v1.7.1 (78) was used to ensure that each parameter had mixed adequately with 10% burn-in, and LogCombiner-2 was used to combine log and tree files from each independent run (Text S1). Tracer was used to construct a Coalescent Bayesian Skyline plot (see Fig. S19 [https://doi.org/10.6084/m9.figshare.c.5057276.v1]), and TreeAnnotator-2 (79) was used to produce a maximum clade credibility tree from the combined tree files, using median node heights (Text S1).
Cereulide synthetase ancestral state reconstruction for ST 26 genomes.
Ancestral state reconstruction as it related to cereulide production was performed using the temporal ST 26 phylogeny as input (see section “Construction of group III B. cereus sensu lato ST 26 temporal phylogeny” above). Stochastic character maps were simulated on the phylogeny using the make.simmap function, the ARD model, and one of three priors on the root node (Table S5 and Text S1).
Evaluation of the influence of reference genome selection on ST 26 phylogenomic topology.
To determine whether choice of reference genome affected ST 26 phylogenomic topology, SNPs were identified among 64 ST 26 genomes using four different reference-based SNP calling pipelines, chosen for their ability to utilize assembled genomes or both assembled genomes and Illumina reads as input: (i) BactSNP v1.1.0 (80), (ii) Lyve-SET v1.1.4g (81), (iii) Parsnp v1.2 (82), and (iv) Snippy v4.3.6. For alignments produced using BactSNP and Snippy, Gubbins v2.3.4 (66) was used to filter out recombination events; for Parsnp, PhiPack (83) was used to remove recombination (Text S1).
Each of four SNP calling pipelines was run six separate times, each time using one of six emetic group III reference genomes (Table 1 and Text S1). The tested reference genomes represented all available group III STs in which cesABCD were detected. For each SNP calling pipeline, the phylogeny constructed using SNPs identified with emetic ST 26 strain AH187 as a reference genome was treated as a reference tree, since this genome was closely related to all ST 26 isolates in the study and has previously been shown to serve as an adequate reference genome for ST 26 (7). For each of four SNP calling pipelines, the Kendall-Colijn (84, 85) test described by Katz et al. (81) was used to compare the topology of each tree to the pipeline’s respective AH187 reference phylogeny, using midpoint-rooted trees, a lambda value of 0 (to give weight to tree topology, rather than branch lengths), and a background distribution of 100,000 random trees (Text S1) (81). The Kendall-Colijn test procedure described above was then repeated for each pair of phylogenies, using the pipeline’s respective AH187 phylogeny as the query phylogeny. Pairs of trees were considered to be more topologically similar than would be expected by chance (81) if a significant P value resulted after a Bonferroni correction was applied (P < 0.05).
Data availability.
Figures S1 to S19 have been deposited in FigShare (https://doi.org/10.6084/m9.figshare.c.5057276.v1). Accession numbers for all isolates included in this study are available in Table S1 in the supplemental material. BEAST 2 XML files, ancestral state reconstruction code, and phylogenies are available at https://github.com/lmc297/Group_III_bacillus_cereus.
ACKNOWLEDGMENTS
This material is based on work supported by the National Science Foundation Graduate Research Fellowship Program under grant DGE-1650441. The work was also partially supported by USDA NIFA grant 2019-67017-29591.
We acknowledge those who have generously collected and provided the publicly available genomic data and/or metadata used in this study (14, 18, 26, 45, 86–123).
Footnotes
Citation Carroll LM, Wiedmann M. 2020. Cereulide synthetase acquisition and loss events within the evolutionary history of group III Bacillus cereus sensu lato facilitate the transition between emetic and diarrheal foodborne pathogens. mBio 11:e01263-20. https://doi.org/10.1128/mBio.01263-20.
REFERENCES
- 1.Stenfors Arnesen LP, Fagerlund A, Granum PE. 2008. From soil to gut: Bacillus cereus and its food poisoning toxins. FEMS Microbiol Rev 32:579–606. doi: 10.1111/j.1574-6976.2008.00112.x. [DOI] [PubMed] [Google Scholar]
- 2.Kirk MD, Pires SM, Black RE, Caipo M, Crump JA, Devleesschauwer B, Dopfer D, Fazil A, Fischer-Walker CL, Hald T, Hall AJ, Keddy KH, Lake RJ, Lanata CF, Torgerson PR, Havelaar AH, Angulo FJ. 2015. World Health Organization estimates of the global and regional disease burden of 22 foodborne bacterial, protozoal, and viral diseases, 2010: a data synthesis. PLoS Med 12:e1001921. doi: 10.1371/journal.pmed.1001921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ehling-Schulz M, Fricker M, Scherer S. 2004. Bacillus cereus, the causative agent of an emetic type of food-borne illness. Mol Nutr Food Res 48:479–487. doi: 10.1002/mnfr.200400055. [DOI] [PubMed] [Google Scholar]
- 4.Rajkovic A, Uyttendaele M, Vermeulen A, Andjelkovic M, Fitz-James I, In‘t Veld P, Denon Q, Vérhe R, Debevere J. 2008. Heat resistance of Bacillus cereus emetic toxin, cereulide. Lett Appl Microbiol 46:536–541. doi: 10.1111/j.1472-765X.2008.02350.x. [DOI] [PubMed] [Google Scholar]
- 5.Messelhäusser U, Ehling-Schulz M. 2018. Bacillus cereus: a multifaceted opportunistic pathogen. Curr Clin Micro Rep 5:120–125. doi: 10.1007/s40588-018-0095-9. [DOI] [Google Scholar]
- 6.Schoeni JL, Wong AC. 2005. Bacillus cereus food poisoning and its toxins. J Food Prot 68:636–648. doi: 10.4315/0362-028x-68.3.636. [DOI] [PubMed] [Google Scholar]
- 7.Carroll LM, Wiedmann M, Mukherjee M, Nicholas DC, Mingle LA, Dumas NB, Cole JA, Kovac J. 2019. Characterization of emetic and diarrheal Bacillus cereus strains from a 2016 foodborne outbreak using whole-genome sequencing: addressing the microbiological, epidemiological, and bioinformatic challenges. Front Microbiol 10:144. doi: 10.3389/fmicb.2019.00144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Glasset B, Herbin S, Guillier L, Cadel-Six S, Vignaud ML, Grout J, Pairaud S, Michel V, Hennekinne JA, Ramarao N, Brisabois A. 2016. Bacillus cereus-induced food-borne outbreaks in France, 2007 to 2014: epidemiology and genetic characterisation. Euro Surveill 21:30413. doi: 10.2807/1560-7917.ES.2016.21.48.30413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ehling-Schulz M, Fricker M, Grallert H, Rieck P, Wagner M, Scherer S. 2006. Cereulide synthetase gene cluster from emetic Bacillus cereus: structure and location on a mega virulence plasmid related to Bacillus anthracis toxin plasmid pXO1. BMC Microbiol 6:20. doi: 10.1186/1471-2180-6-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ehling-Schulz M, Frenzel E, Gohar M. 2015. Food-bacteria interplay: pathometabolism of emetic Bacillus cereus. Front Microbiol 6:704. doi: 10.3389/fmicb.2015.00704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Guinebretiere MH, Thompson FL, Sorokin A, Normand P, Dawyndt P, Ehling-Schulz M, Svensson B, Sanchis V, Nguyen-The C, Heyndrickx M, De Vos P. 2008. Ecological diversification in the Bacillus cereus group. Environ Microbiol 10:851–865. doi: 10.1111/j.1462-2920.2007.01495.x. [DOI] [PubMed] [Google Scholar]
- 12.Guinebretiere MH, Velge P, Couvert O, Carlin F, Debuyser ML, Nguyen-The C. 2010. Ability of Bacillus cereus group strains to cause food poisoning varies according to phylogenetic affiliation (groups I to VII) rather than species affiliation. J Clin Microbiol 48:3388–3391. doi: 10.1128/JCM.00921-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Carroll LM, Kovac J, Miller RA, Wiedmann M. 2017. Rapid, high-throughput identification of anthrax-causing and emetic Bacillus cereus group genome assemblies using BTyper, a computational tool for virulence-based classification of Bacillus cereus group isolates using nucleotide sequencing data. Appl Environ Microbiol 83:e01096-17. doi: 10.1128/AEM.01096-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hoton FM, Fornelos N, N’Guessan E, Hu X, Swiecicka I, Dierick K, Jaaskelainen E, Salkinoja-Salonen M, Mahillon J. 2009. Family portrait of Bacillus cereus and Bacillus weihenstephanensis cereulide-producing strains. Environ Microbiol Rep 1:177–183. doi: 10.1111/j.1758-2229.2009.00028.x. [DOI] [PubMed] [Google Scholar]
- 15.Guerin A, Ronning HT, Dargaignaratz C, Clavel T, Broussolle V, Mahillon J, Granum PE, Nguyen-The C. 2017. Cereulide production by Bacillus weihenstephanensis strains during growth at different pH values and temperatures. Food Microbiol 65:130–135. doi: 10.1016/j.fm.2017.02.006. [DOI] [PubMed] [Google Scholar]
- 16.Ehling-Schulz M, Svensson B, Guinebretiere MH, Lindback T, Andersson M, Schulz A, Fricker M, Christiansson A, Granum PE, Martlbauer E, Nguyen-The C, Salkinoja-Salonen M, Scherer S. 2005. Emetic toxin formation of Bacillus cereus is restricted to a single evolutionary lineage of closely related strains. Microbiology 151:183–197. doi: 10.1099/mic.0.27607-0. [DOI] [PubMed] [Google Scholar]
- 17.Thorsen L, Hansen BM, Nielsen KF, Hendriksen NB, Phipps RK, Budde BB. 2006. Characterization of emetic Bacillus weihenstephanensis, a new cereulide-producing bacterium. Appl Environ Microbiol 72:5118–5121. doi: 10.1128/AEM.00170-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Castiaux V, N’Guessan E, Swiecicka I, Delbrassinne L, Dierick K, Mahillon J. 2014. Diversity of pulsed-field gel electrophoresis patterns of cereulide-producing isolates of Bacillus cereus and Bacillus weihenstephanensis. FEMS Microbiol Lett 353:124–131. doi: 10.1111/1574-6968.12423. [DOI] [PubMed] [Google Scholar]
- 19.Mei X, Xu K, Yang L, Yuan Z, Mahillon J, Hu X. 2014. The genetic diversity of cereulide biosynthesis gene cluster indicates a composite transposon Tnces in emetic Bacillus weihenstephanensis. BMC Microbiol 14:149. doi: 10.1186/1471-2180-14-149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tewari A, Abdullah S. 2015. Bacillus cereus food poisoning: international and Indian perspective. J Food Sci Technol 52:2500–2511. doi: 10.1007/s13197-014-1344-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Carroll LM, Wiedmann M, Kovac J. 2020. Proposal of a taxonomic nomenclature for the Bacillus cereus group which reconciles genomic definitions of bacterial species with clinical and industrial phenotypes. mBio 11:e00034-20. doi: 10.1128/mBio.00034-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Arevalo P, VanInsberghe D, Elsherbini J, Gore J, Polz MF. 2019. A reverse ecology approach based on a biological definition of microbial populations. Cell 178:820–834 e14. doi: 10.1016/j.cell.2019.06.033. [DOI] [PubMed] [Google Scholar]
- 23.Miller RA, Beno SM, Kent DJ, Carroll LM, Martin NH, Boor KJ, Kovac J. 2016. Bacillus wiedmannii sp. nov., a psychrotolerant and cytotoxic Bacillus cereus group species isolated from dairy foods and dairy environments. Int J Syst Evol Microbiol 66:4744–4753. doi: 10.1099/ijsem.0.001421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Jiménez G, Urdiain M, Cifuentes A, López-López A, Blanch AR, Tamames J, Kämpfer P, Kolstø A-B, Ramón D, Martínez JF, Codoñer FM, Rosselló-Móra R. 2013. Description of Bacillus toyonensis sp. nov., a novel species of the Bacillus cereus group, and pairwise genome comparisons of the species of the group by means of ANI calculations. Syst Appl Microbiol 36:383–391. doi: 10.1016/j.syapm.2013.04.008. [DOI] [PubMed] [Google Scholar]
- 25.Guinebretiere MH, Auger S, Galleron N, Contzen M, De Sarrau B, De Buyser ML, Lamberet G, Fagerlund A, Granum PE, Lereclus D, De Vos P, Nguyen-The C, Sorokin A. 2013. Bacillus cytotoxicus sp. nov. is a novel thermotolerant species of the Bacillus cereus group occasionally associated with food poisoning. Int J Syst Evol Microbiol 63:31–40. doi: 10.1099/ijs.0.030627-0. [DOI] [PubMed] [Google Scholar]
- 26.Liu Y, Du J, Lai Q, Zeng R, Ye D, Xu J, Shao Z. 2017. Proposal of nine novel species of the Bacillus cereus group. Int J Syst Evol Microbiol 67:2499–2508. doi: 10.1099/ijsem.0.001821. [DOI] [PubMed] [Google Scholar]
- 27.Naranjo M, Denayer S, Botteldoorn N, Delbrassinne L, Veys J, Waegenaere J, Sirtaine N, Driesen RB, Sipido KR, Mahillon J, Dierick K. 2011. Sudden death of a young adult associated with Bacillus cereus food poisoning. J Clin Microbiol 49:4379–4381. doi: 10.1128/JCM.05129-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dierick K, Van Coillie E, Swiecicka I, Meyfroidt G, Devlieger H, Meulemans A, Hoedemaekers G, Fourie L, Heyndrickx M, Mahillon J. 2005. Fatal family outbreak of Bacillus cereus-associated food poisoning. J Clin Microbiol 43:4277–4279. doi: 10.1128/JCM.43.8.4277-4279.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mahler H, Pasi A, Kramer JM, Schulte P, Scoging AC, Bar W, Krahenbuhl S. 1997. Fulminant liver failure in association with the emetic toxin of Bacillus cereus. N Engl J Med 336:1142–1148. doi: 10.1056/NEJM199704173361604. [DOI] [PubMed] [Google Scholar]
- 30.Pósfay-Barbe KM, Schrenzel J, Frey J, Studer R, Korff C, Belli DC, Parvex P, Rimensberger PC, Schäppi MG. 2008. Food poisoning as a cause of acute liver failure. Pediatr Infect Dis J 27:846–847. doi: 10.1097/INF.0b013e318170f2ae. [DOI] [PubMed] [Google Scholar]
- 31.Shiota M, Saitou K, Mizumoto H, Matsusaka M, Agata N, Nakayama M, Kage M, Tatsumi S, Okamoto A, Yamaguchi S, Ohta M, Hata D. 2010. Rapid detoxification of cereulide in Bacillus cereus food poisoning. Pediatrics 125:e951–e955. doi: 10.1542/peds.2009-2319. [DOI] [PubMed] [Google Scholar]
- 32.Yang Y, Gu H, Yu X, Zhan L, Chen J, Luo Y, Zhang Y, Zhang Y, Lu Y, Jiang J, Mei L. 2017. Genotypic heterogeneity of emetic toxin producing Bacillus cereus isolates from China. FEMS Microbiol Lett 364:fnw237. doi: 10.1093/femsle/fnw237. [DOI] [PubMed] [Google Scholar]
- 33.Vassileva M, Torii K, Oshimoto M, Okamoto A, Agata N, Yamada K, Hasegawa T, Ohta M. 2007. A new phylogenetic cluster of cereulide-producing Bacillus cereus strains. J Clin Microbiol 45:1274–1277. doi: 10.1128/JCM.02224-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Apetroaie C, Andersson MA, Sproer C, Tsitko I, Shaheen R, Jaaskelainen EL, Wijnands LM, Heikkila R, Salkinoja-Salonen MS. 2005. Cereulide-producing strains of Bacillus cereus show diversity. Arch Microbiol 184:141–151. doi: 10.1007/s00203-005-0032-1. [DOI] [PubMed] [Google Scholar]
- 35.Jain C, Rodriguez RL, Phillippy AM, Konstantinidis KT, Aluru S. 2018. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun 9:5114. doi: 10.1038/s41467-018-07641-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Worley J, Meng J, Allard MW, Brown EW, Timme RE. 2018. Salmonella enterica phylogeny based on whole-genome sequencing reveals two new clades and novel patterns of horizontally acquired genetic elements. mBio 9:e02303-18. doi: 10.1128/mBio.02303-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Usongo V, Berry C, Yousfi K, Doualla-Bell F, Labbe G, Johnson R, Fournier E, Nadon C, Goodridge L, Bekal S. 2018. Impact of the choice of reference genome on the ability of the core genome SNV methodology to distinguish strains of Salmonella enterica serovar Heidelberg. PLoS One 13:e0192233. doi: 10.1371/journal.pone.0192233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Olson ND, Lund SP, Colman RE, Foster JT, Sahl JW, Schupp JM, Keim P, Morrow JB, Salit ML, Zook JM. 2015. Best practices for evaluating single nucleotide variant calling methods for microbial genomics. Front Genet 6:235. doi: 10.3389/fgene.2015.00235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pightling AW, Petronella N, Pagotto F. 2014. Choice of reference sequence and assembler for alignment of Listeria monocytogenes short-read sequence data greatly influences rates of error in SNP analyses. PLoS One 9:e104579. doi: 10.1371/journal.pone.0104579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pightling AW, Petronella N, Pagotto F. 2015. Choice of reference-guided sequence assembler and SNP caller for analysis of Listeria monocytogenes short-read sequence data greatly influences rates of error. BMC Res Notes 8:748. doi: 10.1186/s13104-015-1689-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Hauge S. 1955. Food poisoning caused by aerobic spore-forming bacilli. J Appl Bacteriol 18:591–595. doi: 10.1111/j.1365-2672.1955.tb02116.x. [DOI] [Google Scholar]
- 42.Priest FG, Barker M, Baillie LW, Holmes EC, Maiden MC. 2004. Population structure and evolution of the Bacillus cereus group. J Bacteriol 186:7959–7970. doi: 10.1128/JB.186.23.7959-7970.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hoffmaster AR, Novak RT, Marston CK, Gee JE, Helsel L, Pruckler JM, Wilkins PP. 2008. Genetic diversity of clinical isolates of Bacillus cereus using multilocus sequence typing. BMC Microbiol 8:191. doi: 10.1186/1471-2180-8-191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Marston CK, Hoffmaster AR, Wilson KE, Bragg SL, Plikaytis B, Brachman P, Johnson S, Kaufmann AF, Popovic T. 2005. Effects of long-term storage on plasmid stability in Bacillus anthracis. Appl Environ Microbiol 71:7778–7780. doi: 10.1128/AEM.71.12.7778-7780.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Jessberger N, Krey VM, Rademacher C, Böhm M-E, Mohr A-K, Ehling-Schulz M, Scherer S, Märtlbauer E. 2015. From genome to toxicity: a combinatory approach highlights the complexity of enterotoxin production in Bacillus cereus. Front Microbiol 6:560. doi: 10.3389/fmicb.2015.00560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Riol CD, Dietrich R, Martlbauer E, Jessberger N. 2018. Consumed foodstuffs have a crucial impact on the toxic activity of enteropathogenic Bacillus cereus. Front Microbiol 9:1946. doi: 10.3389/fmicb.2018.01946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Hoton FM, Andrup L, Swiecicka I, Mahillon J. 2005. The cereulide genetic determinants of emetic Bacillus cereus are plasmid-borne. Microbiology 151:2121–2124. doi: 10.1099/mic.0.28069-0. [DOI] [PubMed] [Google Scholar]
- 48.Gdoura-Ben Amor M, Siala M, Zayani M, Grosset N, Smaoui S, Messadi-Akrout F, Baron F, Jan S, Gautier M, Gdoura R. 2018. Isolation, identification, prevalence, and genetic diversity of Bacillus cereus group bacteria from different foodstuffs in Tunisia. Front Microbiol 9:447. doi: 10.3389/fmicb.2018.00447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zhuang K, Li H, Zhang Z, Wu S, Zhang Y, Fox EM, Man C, Jiang Y. 2019. Typing and evaluating heat resistance of Bacillus cereus sensu stricto isolated from the processing environment of powdered infant formula. J Dairy Sci 102:7781–7793. doi: 10.3168/jds.2019-16392. [DOI] [PubMed] [Google Scholar]
- 50.Glasset B, Herbin S, Granier SA, Cavalie L, Lafeuille E, Guerin C, Ruimy R, Casagrande-Magne F, Levast M, Chautemps N, Decousser JW, Belotti L, Pelloux I, Robert J, Brisabois A, Ramarao N. 2018. Bacillus cereus, a serious cause of nosocomial infections: epidemiologic and genetic survey. PLoS One 13:e0194346. doi: 10.1371/journal.pone.0194346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bukharin OV, Perunova NB, Andryuschenko SV, Ivanova EV, Bondarenko TA, Chainikova IN. 2019. Genome sequence announcement of Bacillus paranthracis strain ICIS-279, isolated from human intestine. Microbiol Resour Announc 8:e00662-19. doi: 10.1128/MRA.00662-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Pruitt KD, Tatusova T, Maglott DR. 2007. NCBI reference sequences (RefSeq): a curated nonredundant sequence database of genomes, transcripts, and proteins. Nucleic Acids Res 35:D61–D65. doi: 10.1093/nar/gkl842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Lechner S, Mayr R, Francis KP, Pruss BM, Kaplan T, Wiessner-Gunkel E, Stewart GS, Scherer S. 1998. Bacillus weihenstephanensis sp. nov. is a new psychrotolerant species of the Bacillus cereus group. Int J Syst Bacteriol 48 Pt 4:1373–1382. doi: 10.1099/00207713-48-4-1373. [DOI] [PubMed] [Google Scholar]
- 54.Jolley KA, Maiden MC. 2010. BIGSdb: scalable analysis of bacterial genome variation at the population level. BMC Bioinformatics 11:595. doi: 10.1186/1471-2105-11-595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Gardner SN, Hall BG. 2013. When whole-genome alignments just won’t work: kSNP v2 software for alignment-free SNP discovery and phylogenetics of hundreds of microbial genomes. PLoS One 8:e81760. doi: 10.1371/journal.pone.0081760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Gardner SN, Slezak T, Hall BG. 2015. kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome. Bioinformatics 31:2877–2878. doi: 10.1093/bioinformatics/btv271. [DOI] [PubMed] [Google Scholar]
- 57.Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. 2015. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32:268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. 2017. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods 14:587–589. doi: 10.1038/nmeth.4285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Minh BQ, Nguyen MA, von Haeseler A. 2013. Ultrafast approximation for phylogenetic bootstrap. Mol Biol Evol 30:1188–1195. doi: 10.1093/molbev/mst024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS. 2018. UFBoot2: improving the ultrafast bootstrap approximation. Mol Biol Evol 35:518–522. doi: 10.1093/molbev/msx281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Revell LJ. 2012. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol Evol 3:217–223. doi: 10.1111/j.2041-210X.2011.00169.x. [DOI] [Google Scholar]
- 62.Tonkin-Hill G, Lees JA, Bentley SD, Frost SDW, Corander J. 2018. RhierBAPS: an R implementation of the population clustering algorithm hierBAPS. Wellcome Open Res 3:93. doi: 10.12688/wellcomeopenres.14694.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Boskova V, Stadler T. 2020. PIQMEE: Bayesian phylodynamic method for analysis of large datasets with duplicate sequences. Mol Biol Evol doi: 10.1093/molbev/msaa136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lapierre M, Blin C, Lambert A, Achaz G, Rocha EP. 2016. The impact of selection, gene conversion, and biased sampling on the assessment of microbial demography. Mol Biol Evol 33:1711–1725. doi: 10.1093/molbev/msw048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Seemann T. 2019. Snippy: rapid haploid variant calling and core genome alignment, v4.3.6. https://github.com/tseemann/snippy.
- 66.Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, Bentley SD, Parkhill J, Harris SR. 2015. Rapid phylogenetic analysis of large samples of recombinant bacterial whole-genome sequences using Gubbins. Nucleic Acids Res 43:e15. doi: 10.1093/nar/gku1196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T, Keane JA, Harris SR. 2016. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb Genom 2:e000056. doi: 10.1099/mgen.0.000056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Rambaut A, Lam TT, Max Carvalho L, Pybus OG. 2016. Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen). Virus Evol 2:vew007. doi: 10.1093/ve/vew007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.To T-H, Jung M, Lycett S, Gascuel O. 2016. Fast dating using least-squares criteria and algorithms. Syst Biol 65:82–97. doi: 10.1093/sysbio/syv068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Bouckaert R, Vaughan TG, Barido-Sottani J, Duchene S, Fourment M, Gavryushkina A, Heled J, Jones G, Kuhnert D, De Maio N, Matschiner M, Mendes FK, Muller NF, Ogilvie HA, Du Plessis L, Popinga A, Rambaut A, Rasmussen D, Siveroni I, Suchard MA, Wu CH, Xie D, Zhang C, Stadler T, Drummond AJ. 2019. BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis. PLoS Comput Biol 15:e1006650. doi: 10.1371/journal.pcbi.1006650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Bouckaert R, Heled J, Kuhnert D, Vaughan T, Wu CH, Xie D, Suchard MA, Rambaut A, Drummond AJ. 2014. BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol 10:e1003537. doi: 10.1371/journal.pcbi.1003537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Bouckaert R, Xie D. 2017. SSN: standard nucleotide substitution models. doi: 10.5281/zenodo.995740. [DOI] [Google Scholar]
- 73.Bouckaert R. 2014. Correcting for constant sites in BEAST2. https://groups.google.com/forum/#!topic/beast-users/QfBHMOqImFE. Accessed 11 July 2020.
- 74.Drummond AJ, Ho SY, Phillips MJ, Rambaut A. 2006. Relaxed phylogenetics and dating with confidence. PLoS Biol 4:e88. doi: 10.1371/journal.pbio.0040088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Zimmermann F. 2019. Epidemiology and ecology of Bacillus cereus biovar anthracis in Taï National Park, Côte d’Ivoire. doi: 10.17169/refubium-1460. [DOI] [Google Scholar]
- 76.Drummond AJ, Rambaut A, Shapiro B, Pybus OG. 2005. Bayesian coalescent inference of past population dynamics from molecular sequences. Mol Biol Evol 22:1185–1192. doi: 10.1093/molbev/msi103. [DOI] [PubMed] [Google Scholar]
- 77.Xie W, Lewis PO, Fan Y, Kuo L, Chen MH. 2011. Improving marginal likelihood estimation for Bayesian phylogenetic model selection. Syst Biol 60:150–160. doi: 10.1093/sysbio/syq085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. 2018. Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Syst Biol 67:901–904. doi: 10.1093/sysbio/syy032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Heled J, Bouckaert RR. 2013. Looking for trees in the forest: summary tree from posterior samples. BMC Evol Biol 13:221. doi: 10.1186/1471-2148-13-221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Yoshimura D, Kajitani R, Gotoh Y, Katahira K, Okuno M, Ogura Y, Hayashi T, Itoh T. 2019. Evaluation of SNP calling methods for closely related bacterial isolates and a novel high-accuracy pipeline: BactSNP. Microb Genom 5:e000261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Katz LS, Griswold T, Williams-Newkirk AJ, Wagner D, Petkau A, Sieffert C, Van Domselaar G, Deng X, Carleton HA. 2017. A comparative analysis of the Lyve-SET phylogenomics pipeline for genomic epidemiology of foodborne pathogens. Front Microbiol 8:375. doi: 10.3389/fmicb.2017.00375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Treangen TJ, Ondov BD, Koren S, Phillippy AM. 2014. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol 15:524. doi: 10.1186/s13059-014-0524-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Bruen TC, Philippe H, Bryant D. 2006. A simple and robust statistical test for detecting the presence of recombination. Genetics 172:2665–2681. doi: 10.1534/genetics.105.048975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Kendall M, Colijn C. 2016. Mapping phylogenetic trees to reveal distinct patterns of evolution. Mol Biol Evol 33:2735–2743. doi: 10.1093/molbev/msw124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Kendall M, Colijn C. 2015. A tree metric using structure and length to capture distinct phylogenetic signals. arXiv 1507.05211 https://arxiv.org/abs/1507.05211.
- 86.Zwick ME, Joseph SJ, Didelot X, Chen PE, Bishop-Lilly KA, Stewart AC, Willner K, Nolan N, Lentz S, Thomason MK, Sozhamannan S, Mateczun AJ, Du L, Read TD. 2012. Genomic characterization of the Bacillus cereus sensu lato species: backdrop to the evolution of Bacillus anthracis. Genome Res 22:1512–1524. doi: 10.1101/gr.134437.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Xiong Z, Jiang Y, Qi D, Lu H, Yang F, Yang J, Chen L, Sun L, Xu X, Xue Y, Zhu Y, Jin Q. 2009. Complete genome sequence of the extremophilic Bacillus cereus strain Q1 with industrial applications. J Bacteriol 191:1120–1121. doi: 10.1128/JB.01629-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Ji F, Zhu Y, Ju S, Zhang R, Yu Z, Sun M. 2009. Promoters of crystal protein genes do not control crystal formation inside exosporium of Bacillus thuringiensis ssp. finitimus strain YBT-020. FEMS Microbiol Lett 300:11–17. doi: 10.1111/j.1574-6968.2009.01743.x. [DOI] [PubMed] [Google Scholar]
- 89.Guo G, Zhang L, Zhou Z, Ma Q, Liu J, Zhu C, Zhu L, Yu Z, Sun M. 2008. A new group of parasporal inclusions encoded by the S-layer gene of Bacillus thuringiensis. FEMS Microbiol Lett 282:1–7. doi: 10.1111/j.1574-6968.2008.01087.x. [DOI] [PubMed] [Google Scholar]
- 90.Zhu Y, Ji F, Shang H, Zhu Q, Wang P, Xu C, Deng Y, Peng D, Ruan L, Sun M. 2011. Gene clusters located on two large plasmids determine spore crystal association (SCA) in Bacillus thuringiensis subsp. finitimus strain YBT-020. PLoS One 6:e27164. doi: 10.1371/journal.pone.0027164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Zhu Y, Shang H, Zhu Q, Ji F, Wang P, Fu J, Deng Y, Xu C, Ye W, Zheng J, Zhu L, Ruan L, Peng D, Sun M. 2011. Complete genome sequence of Bacillus thuringiensis serovar Finitimus strain YBT-020. J Bacteriol 193:2379–2380. doi: 10.1128/JB.00267-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Fiedoruk K, Daniluk T, Fiodor A, Drewicka E, Buczynska K, Leszczynska K, Bideshi DK, Swiecicka I. 2016. MALDI-TOF MS portrait of emetic and non-emetic Bacillus cereus group members. Electrophoresis 37:2235–2247. doi: 10.1002/elps.201500308. [DOI] [PubMed] [Google Scholar]
- 93.Su L, Zhou T, Zhou L, Fang X, Li T, Wang J, Guo Y, Chang D, Wang Y, Li D, Liu C. 2012. Draft genome sequence of Bacillus cereus strain LCT-BC244. J Bacteriol 194:3549. doi: 10.1128/JB.00580-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Agata N, Mori M, Ohta M, Suwan S, Ohtani I, Isobe M. 1994. A novel dodecadepsipeptide, cereulide, isolated from Bacillus cereus causes vacuole formation in HEp-2 cells. FEMS Microbiol Lett 121:31–34. doi: 10.1111/j.1574-6968.1994.tb07071.x. [DOI] [PubMed] [Google Scholar]
- 95.Ekman JV, Kruglov A, Andersson MA, Mikkola R, Raulio M, Salkinoja-Salonen M. 2012. Cereulide produced by Bacillus cereus increases the fitness of the producer organism in low-potassium environments. Microbiology 158:1106–1116. doi: 10.1099/mic.0.053520-0. [DOI] [PubMed] [Google Scholar]
- 96.Takeno A, Okamoto A, Tori K, Oshima K, Hirakawa H, Toh H, Agata N, Yamada K, Ogasawara N, Hayashi T, Shimizu T, Kuhara S, Hattori M, Ohta M. 2012. Complete genome sequence of Bacillus cereus NC7401, which produces high levels of the emetic toxin cereulide. J Bacteriol 194:4767–4768. doi: 10.1128/JB.01015-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Hu X, Van der Auwera G, Timmery S, Zhu L, Mahillon J. 2009. Distribution, diversity, and potential mobility of extrachromosomal elements related to the Bacillus anthracis pXO1 and pXO2 virulence plasmids. Appl Environ Microbiol 75:3016–3028. doi: 10.1128/AEM.02709-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Van der Auwera GA, Feldgarden M, Kolter R, Mahillon J. 2013. Whole-genome sequences of 94 environmental isolates of Bacillus cereus sensu lato. Genome Announc 1:e00380-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Swiecicka I, De Vos P. 2003. Properties of Bacillus thuringiensis isolated from bank voles. J Appl Microbiol 94:60–64. doi: 10.1046/j.1365-2672.2003.01790.x. [DOI] [PubMed] [Google Scholar]
- 100.Biodefense and Emerging Infections (BEI) Research Resources Repository. 2019. Bacillus cereus strain AND1407, NR-22159. https://www.beiresources.org/catalog/Bacteria/NR-22159.aspx. Accessed 24 December 2019.
- 101.Timmery S, Hu X, Mahillon J. 2011. Characterization of bacilli isolated from the confined environments of the Antarctic Concordia station and the International Space Station. Astrobiology 11:323–334. doi: 10.1089/ast.2010.0573. [DOI] [PubMed] [Google Scholar]
- 102.Zhang X, Wang T, Su L, Zhou L, Li T, Wang J, Liu Y, Jiang X, Wu C, Liu C. 2014. Draft genome sequence of Bacillus cereus LCT-BC25, isolated from space flight. Genome Announc 2:e00667-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Su L, Wang T, Zhou L, Wu C, Guo Y, Chang D, Liu Y, Jiang X, Yin S, Liu C. 2014. Genome sequence of Bacillus cereus strain LCT-BC235, carried by the Shenzhou VIII spacecraft. Genome Announc 2:e00665-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Radnedge L, Agron PG, Hill KK, Jackson PJ, Ticknor LO, Keim P, Andersen GL. 2003. Genome differences that distinguish Bacillus anthracis from Bacillus cereus and Bacillus thuringiensis. Appl Environ Microbiol 69:2755–2764. doi: 10.1128/aem.69.5.2755-2764.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Zhong W, Shou Y, Yoshida TM, Marrone BL. 2007. Differentiation of Bacillus anthracis, B. cereus, and B. thuringiensis by using pulsed-field gel electrophoresis. AEM 73:3446–3449. doi: 10.1128/AEM.02478-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Pannucci J, Okinaka RT, Sabin R, Kuske CR. 2002. Bacillus anthracis pXO1 plasmid sequence conservation among closely related bacterial species. J Bacteriol 184:134–141. doi: 10.1128/jb.184.1.134-141.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Knight BC, Proom H. 1950. A comparative survey of the nutrition and physiology of mesophilic species in the genus Bacillus. J Gen Microbiol 4:508–538. doi: 10.1099/00221287-4-3-508. [DOI] [PubMed] [Google Scholar]
- 108.Sneath PH. 1955. Proof of the spontaneity of a mutation to penicillinase production in Bacillus cereus. J Gen Microbiol 13:561–568. doi: 10.1099/00221287-13-3-561. [DOI] [PubMed] [Google Scholar]
- 109.Fenselau C, Havey C, Teerakulkittipong N, Swatkoski S, Laine O, Edwards N. 2008. Identification of beta-lactamase in antibiotic-resistant Bacillus cereus spores. Appl Environ Microbiol 74:904–906. doi: 10.1128/AEM.00788-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Krawczyk AO, de Jong A, Eijlander RT, Berendsen EM, Holsappel S, Wells-Bennik MH, Kuipers OP. 2015. Next-generation whole-genome sequencing of eight strains of Bacillus cereus, isolated from food. Genome Announc 3:e01480-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Bohm ME, Huptas C, Krey VM, Scherer S. 2015. Massive horizontal gene transfer, strictly vertical inheritance and ancient duplications differentially shape the evolution of Bacillus cereus enterotoxin operons hbl, cytK, and nhe. BMC Evol Biol 15:246. doi: 10.1186/s12862-015-0529-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Crovadore J, Calmin G, Tonacini J, Chablais R, Schnyder B, Messelhausser U, Lefort F. 2016. Whole-genome sequences of seven strains of Bacillus cereus isolated from foodstuff or poisoning incidents. Genome Announc 4:e00435-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Miller RA, Jian J, Beno SM, Wiedmann M, Kovac J. 2018. Intraclade variability in toxin production and cytotoxicity of Bacillus cereus group type strains and dairy-associated isolates. Appl Environ Microbiol 84:e02479-17. doi: 10.1128/AEM.02479-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Kovac J, Miller RA, Carroll LM, Kent DJ, Jian J, Beno SM, Wiedmann M. 2016. Production of hemolysin BL by Bacillus cereus group isolates of dairy origin is associated with whole-genome phylogenetic clade. BMC Genomics 17:581. doi: 10.1186/s12864-016-2883-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Hayrapetyan H, Boekhorst J, de Jong A, Kuipers OP, Nierop Groot MN, Abee T. 2016. Draft whole-genome sequences of 11 Bacillus cereus food isolates. Genome Announc 4:e00485-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Zeigler DR. 1999. Bacillus Genetic Stock Center catalog of strains, seventh edition, part 2: Bacillus thuringiensis and Bacillus cereus. The Bacillus Genetic Stock Center, The Ohio State University, Columbus, OH. [Google Scholar]
- 117.Raymond B. 2017. The biology, ecology and taxonomy of Bacillus thuringiensis and related bacteria, p 19–39. In Fiuza LM, Polanczyk RA, Crickmore N (ed), Bacillus thuringiensis and Lysinibacillus sphaericus: characterization and use in the field of biocontrol. Springer International Publishing, Cham, Switzerland. doi: 10.1007/978-3-319-56678-8_2. [DOI] [Google Scholar]
- 118.Liu M, Cai QX, Liu HZ, Zhang BH, Yan JP, Yuan ZM. 2002. Chitinolytic activities in Bacillus thuringiensis and their synergistic effects on larvicidal activity. J Appl Microbiol 93:374–379. doi: 10.1046/j.1365-2672.2002.01693.x. [DOI] [PubMed] [Google Scholar]
- 119.Che L, Xu W, Zhan J, Zhang L, Liu L, Zhou H. 2019. Complete genome sequence of Bacillus cereus CC-1, a novel marine selenate/selenite reducing bacterium producing metallic selenides nanomaterials. Curr Microbiol 76:78–85. doi: 10.1007/s00284-018-1587-9. [DOI] [PubMed] [Google Scholar]
- 120.Grubbs KJ, Bleich RM, Santa Maria KC, Allen SE, Farag S, AgBiome T, Shank EA, Bowers AA. 2017. Large-scale bioinformatics analysis of Bacillus genomes uncovers conserved roles of natural products in bacterial physiology. mSystems 2:e00040-17. doi: 10.1128/mSystems.00040-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Chang T, Rosch JW, Gu Z, Hakim H, Hewitt C, Gaur A, Wu G, Hayden RT. 2018. Whole-genome characterization of Bacillus cereus associated with specific disease manifestations. Infect Immun 86:e00086-18. doi: 10.1128/IAI.00086-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Shankar M, Mageswari A, Suganthi C, Gunasekaran P, Gothandam KM, Karthikeyan S. 2018. Genome sequence of a moderately halophilic Bacillus cereus strain, TS2, isolated from saltern sediments. Microbiol Resour Announc 7:e00873-18. doi: 10.1128/MRA.00873-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Ikram S, Heikal A, Finke S, Hofgaard A, Rehman Y, Sabri AN, Okstad OA. 2019. Bacillus cereus biofilm formation on central venous catheters of hospitalized cardiac patients. Biofouling 35:204–216. doi: 10.1080/08927014.2019.1586889. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Figures S1 to S19 have been deposited in FigShare (https://doi.org/10.6084/m9.figshare.c.5057276.v1). Accession numbers for all isolates included in this study are available in Table S1 in the supplemental material. BEAST 2 XML files, ancestral state reconstruction code, and phylogenies are available at https://github.com/lmc297/Group_III_bacillus_cereus.