New Insights and Approach Toward the Genetic Diversity and Strain Typing of Erwinia pyrifoliae Based on rsxC, an Electron Transport Gene.

Erwinia pyrifoliae, a causal agent of black shoot blight in apple and pear trees, is a plant pathogenic bacterium first reported in South Korea. The symptoms of black shoot blight are very similar to those of the fire blight disease in apple and pear trees caused by E. amylovora, as E. pyrifoliae has a genetically very close relationship with E. amylovora. Recently, there have been reports that E. pyrifoliae causes disease in European strawberries, resulting in severe fruit loss that aroused great concern about its spread, distribution, and host range. Therefore, it is essential to establish a trustworthy approach to understanding the distribution patterns of E. pyrifoliae based on the genetic background to strengthen the barrier of potential spreading risks, although advanced methods have been provided to accurately detect E. pyrifoliae and E. amylovora. Consequently, this study discovered a noble and noteworthy gene, rsxC, capable of providing the pathogen genotype by comparing E. pyrifoliae genomic sequences in the international representative genome archive. Different numbers of 40-unit amino acid repeats in this gene among the strains induced intraspecific traits in RsxC. By comparing their repeat pattern, E. pyrifoliae isolates were divided into two main groups, branching into several clades via sequence alignment of 35 E. pyrifoliae isolates from various apple orchards from 2020 to 2021 in South Korea. The newly discovered quadraginta amino acid repeat within this gene would be a valuable genetic touchstone for determining the genotype and distribution pattern of E. pyrifoliae strains, ultimately leading to exploring their evolution. The function of amino acid repeats and the biological significance of strains need to be elucidated further.

Characterization and genomic insight of surfactin-producing Bacillus velezensis and its biocontrol potential against pathogenic contamination in lettuce hydroponics.

Due to food borne pathogen, maintaining the viability of fresh fruits and vegetable is a great concern. Several strategies including microbial and plant-based formulations to reduce their infection and maintain quality of the fresh food are in practice. Currently, Bacillus has gained significant traction as a biocontrol agent for regulating diseases affecting a variety of agricultural and horticultural crops. Food-grade citric acid and plant growth-promoting rhizobacteria (PGPR) were used as antimicrobial agent, MIC results showed that PGPR (14.87 mm) and CA (20.25 mm) exhibited notable antimicrobial activity against E. coli. Lettuce treated with PGPR showed reduction in E. coli contamination, E. coli was detected at 3.30, 3.68 in control, and 2.7 log CFU/g in random root injury lettuce inoculated with PGPR KACC 21110 respectively. Random root injury showed a trend toward increasing E. coli internalization. The strains exhibited resistance to multiple antibiotics, including Imipenem, tetracycline, ampicillin, cefotaxime, cefoxitin, and ceftriaxone. Comprehensive data analysis revealed the presence of ten putative bacteriocin or bacteriocin-like gene clusters. The structure of lipopeptide homologs was characterized by using QTOF-MS/MS. The mass ion peaks attributed to surfactin homologs, surfactin A ion at m/z 1008.66, surfactin B, C at m/z 1022.67 and 1036.69. In addition to surfactin, a polyketide oxydifficidin and lipopeptide NO were extracted and detected from the extract of B. velezensis. Both isolates are key biocontrol agents and have significant potential in combating foodborne pathogens and can be utilized to explore novel antibacterial products for preventing pathogens in fresh produce.

Novel approach toward the understanding of genetic diversity based on the two types of amino acid repeats in Erwinia amylovora.

Erwinia amylovora is a notorious plant pathogenic bacterium of global concern that has devastated the apple and pear production industry worldwide. Nevertheless, the approaches available currently to understand the genetic diversity of E. amylovora remain unsatisfactory because of the lack of a trustworthy index and data covering the globally occurring E. amylovora strains; thus, their origin and distribution pattern remains ambiguous. Therefore, there is a growing need for robust approaches for obtaining this information via the comparison of the genomic structure of Amygdaloideae-infecting strains to understand their genetic diversity and distribution. Here, the whole-genome sequences of 245 E. amylovora strains available from the NCBI database were compared to identify intraspecific genes for use as an improved index for the simple classification of E. amylovora strains regarding their distribution. Finally, we discovered two kinds of strain-typing protein-encoding genes, i.e., the SAM-dependent methyltransferase and electron transport complex subunit RsxC. Interestingly, both of these proteins carried an amino acid repeat in these strains: SAM-dependent methyltransferase comprised a single-amino-acid repeat (asparagine), whereas RsxC carried a 40-amino-acid repeat, which was differentially distributed among the strains. These noteworthy findings and approaches may enable the exploration of the genetic diversity of E. amylovora from a global perspective.

Genomic Analysis of the Carrot Bacterial Blight Pathogen Xanthomonas hortorum pv. carotae in Korea.

Bacterial leaf blight of carrots caused by Xanthomonas hortorum pv. carotae (Xhc) is an important worldwide seed-borne disease. In 2012 and 2013, symptoms similar to bacterial leaf blight were found in carrot farms in Jeju Island, Korea. The phenotypic characteristics of the Korean isolation strains were similar to the type strain of Xhc. Pathogenicity showed symptoms on the 14th day after inoculation on carrot plants. Identification by genetic method was multi-position sequencing of the isolated strain JJ2001 was performed using four genes (danK, gyrB, fyuA, and rpoD). The isolated strain was confirmed to be most similar to Xhc M081. Furthermore, in order to analyze the genetic characteristics of the isolated strain, whole genome analysis was performed through the next-generation sequencing method. The draft genome size of JJ2001 is 5,443,372 bp, which contains 63.57% of G + C and has 4,547 open reading frames. Specifically, the classification of pathovar can be confirmed to be similar to that of the host lineage. Plant pathogenic factors and determinants of the majority of the secretion system are conserved in strain JJ2001. This genetic information enables detailed comparative analysis in the pathovar stage of pathogenic bacteria. Furthermore, these findings provide basic data for the distribution and diagnosis of Xanthomonas hortorum pv. carotae, a major plant pathogen that infects carrots in Korea.

First Report of Fire Blight on Chinese hawthorn (Crataegus pinnatifida Bunge) Caused by Erwinia amylovora in Korea.

Fire blight is one of the destructive plant diseases caused by Erwinia amylovora and causes enormous economic losses worldwide. Fire blight was initially reported in apples, pears, and Chinese quince (Park et al. 2016; Myung et al. 2016a, 2016b) in Korea, but recent studies have reported new hosts such as apricot (Lee et al. 2021) and mountain ash (Lim et al, 2023). These reports indicate that fire blight is likely to disperse to new hosts in Korea. During the nationwide survey in June 2021, we observed typical symptoms of blossom blight and shoot blight on a Chinese hawthorn (Crataegus pinnatifida Bunge) just near an orchard (37°09'21.7"N, 127°35'02.6"E) in Icheon, Gyeonggi Province, where fire blight of Asian pear occurred. For identifying its causal agent, bacterial isolates were recovered after incubating at 28 ℃ for 24 hours on tryptic soy agar (TSA) medium (BD Difco, USA) from blighted leaves and shoots that were surface sterilized with 70% alcohol for 30 sec and homogenized in 500 µl of 10mM MgCl2. Pure cultures of white to mucoid colonies were grown on mannitol glutamate yeast extract (MGY) medium, a semi-selective medium for E. amylovora (Shrestha et al, 2003). Two isolates produced 1.5 kb amplicon through colony PCR using amsB primers (Bereswill et al. 1995). Two strains (CPFB26 and CPFB27) from the Chinese hawthorn produced amplicons identical to that from the TS3128 strain of E. amylovora, isolated from the pear tree and identified in 2016 (Park et al. 2016). For the partial 16s rRNA sequences, the total DNA of these two strains was extracted using the Wizard DNA prep kit (Promega, USA), and PCR was performed using fD1 (5'-AGAGTTTGATCCTGGCTCAG-3') and Rp2 (5'-ACGGCTACCTTGTTACGACTT-3') primer sets and further sequenced (Weisburg et al. 1991). These sequences belonged to the E. amylovora clade and were identified as E. amylovora in phylogenetic analysis (GenBank accession no. OP753569 and OP753570). Based on BLASTN analysis, CPFB26 and CPFB27 showed 99.78% similarity to the sequences of the E. amylovora strains TS3128, CFBP 1430, and ATCC 49946. To confirm pathogenicity of the isolates, 10 ㎕ bacterial suspensions (1.5 ⅹ 108 CFU/ml) was injected through the veins of the upper 2nd leaf of 3-month-old clone of apple rootstock (Malus domestica cv. M29) and incubated for six days at 28 ℃ in a chamber with 12 hours of light per day. Petioles and stems turned red hue, and the shoots finally blighted. To complete Koch's postulates, colonies were recovered on TSA medium from the inoculated apple rootstocks and verified through colony PCR for the amsB and A/B primer set (Powney et al. 2011). Hawthorn has been reported as an epidemiologically important alternate host plant of fire blight (van der Zwet et al. 2012). This study is the first to report fire blight caused by E. amylovora in Chinese hawthorn in Korea. Because Chinese hawthorn is natively distributed in Korea and is widely used as a landscaping tree (Jang et al. 2006), the findings of this study suggest that early monitoring could prevent the spread of fire blight through natural hosts.

Novel Detection and Quantification Approach of Erwinia amylovora In Vitro and In Planta Using SYBR Green-Based Real-Time PCR Assay.

Fire blight, caused by the bacterial pathogen Erwinia amylovora, is a highly destructive disease of apple and pear. Because the apple tree gets systemically infected with E. amylovora and eventually dies, E. amylovora is a considerably important pathogen in the orchard that requires long-term management. In addition, it is crucial to prevent the spread of the pathogen by expeditious diagnosis. In this study, via comparative approaches to the genome sequences of the strains of various Erwinia spp., we designed specific primers targeting a hypothetical gene that is single copy and located in the chromosomal DNA of E. amylovora. This primer set specifically amplified the DNA of E. amylovora but no other bacteria, including E. pyrifoliae, Pectobacterium spp., Pantoea spp., and Dickeya chrysanthemi. Furthermore, the SYBR Green-based real-time PCR using the primer set allowed accurate estimation of the population of E. amylovora. Developing a rapid and accurate diagnostic method using the novel primer set enables effective defense against pathogen spread through continuous monitoring and quick response.

Survey of Oxolinic Acid-Resistant Erwinia amylovora in Korean Apple and Pear Orchards, and the Fitness Impact of Constructed Mutants.

Fire blight caused by Erwinia amylovora (Ea) is a devastating disease in apple and pear trees. Oxolinic acid (OA), a quinolone family antibiotic that inhibits DNA gyrase, has been employed to control fire blight in South Korea since 2015. The continuous use of this bactericide has resulted in the emergence of OA-resistant strains in bacterial pathogens in other countries. To investigate the occurrence of OA-resistant Ea strains in South Korea, we collected a total of 516 Ea isolates from diseased apple and pear trees in 2020-2021 and assessed their sensitivities to OA. We found that all isolates were susceptible to OA. To explore the possibility of emerging OA-resistant Ea by continuous application of OA, we exposed Ea stains to a range of OA concentrations and constructed OA-resistant mutant strains. Resistance was associated with mutations in the GyrA at codons 81 and 83, which result in glycine to cysteine and serine to arginine amino acid substitutions, respectively. The in vitro growth of the mutants in nutrient media and their virulence in immature apple fruits were lower than those of wild-type. Our results suggest that OA-resistance decreases the fitness of Ea. Future work should clarify the mechanisms by which OA-resistance decreases virulence of this plant pathogen. Continuous monitoring of OA-resistance in Ea is required to maintain the efficacy of this potent bactericide.

Discrimination and Detection of Erwinia amylovora and Erwinia pyrifoliae with a Single Primer Set.

Erwinia amylovora and Erwinia pyrifoliae cause fire blight and black-shoot blight, respectively, in apples and pears. E. pyrifoliae is less pathogenic and has a narrower host range than that of E. amylovora. Fire blight and black-shoot blight exhibit similar symptoms, making it difficult to distinguish one bacterial disease from the other. Molecular tools that differentiate fire blight from black-shoot blight could guide in the implementation of appropriate management strategies to control both diseases. In this study, a primer set was developed to detect and distinguish E. amylovora from E. pyrifoliae by conventional polymerase chain reaction (PCR). The primers produced amplicons of different sizes that were specific to each bacterial species. PCR products from E. amylovora and E. pyrifoliae cells at concentrations of 104 cfu/ml and 107 cfu/ml, respectively, were amplified, which demonstrated sufficient primer detection sensitivity. This primer set provides a simple molecular tool to distinguish between two types of bacterial diseases with similar symptoms.

Microbial Community Dysbiosis and Functional Gene Content Changes in Apple Flowers due to Fire Blight.

Despite the plant microbiota plays an important role in plant health, little is known about the potential interactions of the flower microbiota with pathogens. In this study, we investigated the microbial community of apple blossoms when infected with Erwinia amylovora. The long-read sequencing technology, which significantly increased the genome sequence resolution, thus enabling the characterization of fire blight-induced changes in the flower microbial community. Each sample showed a unique microbial community at the species level. Pantoea agglomerans and P. allii were the most predominant bacteria in healthy flowers, whereas E. amylovora comprised more than 90% of the microbial population in diseased flowers. Furthermore, gene function analysis revealed that glucose and xylose metabolism were enriched in diseased flowers. Overall, our results showed that the microbiome of apple blossoms is rich in specific bacteria, and the nutritional composition of flowers is important for the incidence and spread of bacterial disease.

First Report of Fire Blight of Apricot (Prunus armeniaca) Caused by Erwinia amylovora in Korea.

During a survey in May 2020, symptoms of blight were observed on apricot (Prunus armeniaca cv. undetermined) in an orchard (37°06´01.5″N 127°57´44.9″E) in Chungju, South Korea, where fire blight of apple occurred. Three apricot trees in the apple orchard were heavily diseased and showed severe shoot blight and stem canker symptoms. Bacterial isolates were recovered on King's medium B from leaves and twigs that were surface-sterilized with 70% alcohol. Colonies with uniform mucoid, smooth surfaces were collected. DNA from nine isolates did not yield an amplicon in a PCR assay for detection of Erwinia pyrifoliae using primer set CPS1/CPS2c (Kim et al. 2001). Each isolate was positive in PCR assays for E. amylovora using primer sets A/B (Bereswill et al. 1992) and AJ75/76 (Llop et al. 2000) that target pEA29. Sequencing of the PCR products resulted in 99.9% (929 bp out of 930 bp) and 100% (747 bp out of 747 bp) identity with sequences of E. amylovora FB20 (GeneBank: CP050240), respectively. Amplifications of the partial 16S rRNA (GeneBank: LC557153) and hrpN (GeneBank: LC575997) genes were performed, and the products were sequenced. The primers used to amplify 16S rRNA were 518F: 5'-CCAGCAGCCGCGGTAATACG-3' and 800R: 5'-TACCAGGGTATCTAATCC-3', and those for the hrpN genes were HRPN1: 5'-ATGAGTCTGAATACAAG-3' and HRPN3c: 5'-GCTTGCCAAGTGCCATA-3'. BLAST analyses showed 99.8% (1439 bp out of 1442 bp) and 100% (1136 bp out of 1136 bp) identities, respectively, to the sequences of E. amylovora FB20. The ability of the isolates to induce a hypersensitive reaction on tobacco (Nicotiana tabacum cv. Xanthi) leaves was also evaluated. Bacterial suspensions (1.5 ⅹ 108 CFU) of 2 isolates were injected into tobacco leaves, and after 48 h, both isolates caused a hypersensitive response. To confirm pathogenicity of isolates, 3-mm-deep holes in five immature apricot (cv. Goldcot) and five immature apple (cv. Fuji) fruits were inoculated with 10 µl bacterial suspension (1.5 ⅹ 108 CFU/ml). The inoculated fruits were placed in a humid plastic box. After 7 days at 27℃, severe necrosis and bacterial ooze were present at the inoculated sites in three repeated tests. No symptoms were observed on fruits inoculated with sterile water. To complete Koch's postulates, bacteria were reisolated from the inoculated apricot and apple fruits. PCR using the specific primer sets stated above confirmed the identity as E. amylovora. Thus, based on disease symptoms, sequences, and pathogenicity, the bacterium causing blight of apricot was identified as E. amylovora. Natural infections of E. amylovora on apricot trees have been reported in the Czech Republic and Hungary (Korba and Sillerova 2011; Vegh and Palkovics 2013). Fire blight was observed in the Czech Republic on apricot trees near pear seedlings, which are highly susceptible to E. amylovora (Korba and Sillerova 2011). Natural infections of E. amylovora on Japanese plum planted adjacent to an apple orchard with severe fire blight has been reported in the United States (Mohan and Thomson 1996). Moreover, susceptibility to fire blight has been reported for apricot and Japanese plum cultivars (Mohan and Bijman 1999). To our knowledge, this the first report of fire blight of apricot caused by E. amylovora in Korea. This report is important because it provides evidence that apricot may be an overlooked reservoir for E. amylovora, in addition to apple, pear, and other rosaceous plants, in Korea. An intensive survey for additional host plants for the fire blight pathogen will be continued in Korea. This work was supported by a grant from the Agenda program (PJ01530202) of Rural Development Administration, Republic of Korea.

NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data.

BACKGROUND: Sequence variations such as single nucleotide polymorphisms are markers for genetic diseases and breeding. Therefore, identifying sequence variations is one of the main objectives of several genome projects. Although most genome project consortiums provide standard operation procedures for sequence variation detection methods, there may be differences in the results because of human selection or error. OBJECTIVE: To standardize the procedure for sequence variation detection and help researchers who are not formally trained in bioinformatics, we developed the NGS_SNPAnalyzer, a desktop software and fully automated graphical pipeline. METHODS: The NGS_SNPAnalyzer is implemented using JavaFX (version 1.8); therefore, it is not limited to any operating system (OS). The tools employed in the NGS_SNPAnalyzer were compiled on Microsoft Windows (version 7, 10) and Ubuntu Linux (version 16.04, 17.0.4). RESULTS: The NGS_SNPAnalyzer not only includes the functionalities for variant calling and annotation but also provides quality control, mapping, and filtering details to support all procedures from next-generation sequencing (NGS) data to variant visualization. It can be executed using pre-set pipelines and options and customized via user-specified options. Additionally, the NGS_SNPAnalyzer provides a user-friendly graphical interface and can be installed on any OS that supports JAVA. CONCLUSIONS: Although there are several pipelines and visualization tools available for NGS data analysis, we developed the NGS_SNPAnalyzer to provide the user with an easy-to-use interface. The benchmark test results indicate that the NGS_SNPAnayzer achieves better performance than other open source tools.

High-Quality Genome Assembly of Peronospora destructor, the Causal Agent of Onion Downy Mildew.

Peronospora destructor is an obligate biotrophic oomycete that causes downy mildew on onion (Allium cepa). Onion is an important crop worldwide, but its production is affected by this pathogen. We sequenced the genome of P. destructor using the PacBio sequencing platform, and de novo assembly resulted in 74 contigs with a total contig size of 29.3 Mb and 48.48% GC content. Here, we report the first high-quality genome sequence of P. destructor and its comparison with the genome assemblies of other oomycetes. The genome is a very useful resource to serve as a reference for analysis of P. destructor isolates and for comparative genomic studies of the biotrophic oomycetes.

Comparative Analysis of the YABBY Gene Family of Bienertia sinuspersici, a Single-Cell C4 Plant.

The emergence and expression of the YABBY gene family (YGF) coincided with the evolution of leaves in seed plants, and was integral to the early evidence of lamina followed by reproductive development. YGF contains six subclasses, i.e., CRC, INO, FIL, YAB2, YAB3, and YAB5. This study aims to extract the genome sequences of the YGF in Bienertia sinuspersici, an important model plant for single-cell C4 (SCC4), non-Kranz photosynthesis. A comparative genomic analysis was undertaken with Vitis vinefera, Arabidopsis thaliana, Brassica rapa, and Chenopodium quinoa. Six copies of YGF were present in B. sinuspersici and A. thaliana with a single copy of each YGF subgroup. V. vinefera possessed seven copies of YGF with duplicates in FIL and YAB2 subgroups, but no YAB3. B. rapa and C. quinoa after whole genome duplication contained additional copies of YGF. The gene structure and conserved motifs were analyzed among the YGF. In addition, the relative quantification of YGF was analyzed in the leaves, reproductive developmental stages such as the bud, and the pre-anthesis and anthesis stages in B. sinuspersici, A. thaliana, and B. rapa. CRC and INO possessed conserved floral-specific expression. Temporal and perpetual changes in the expression of YGF orthologs were observed in the leaves and reproductive developmental stages. The results of this study provide an overview of YGF evolution, copy number, and its differential expression in B. sinuspersici. Further studies are required to shed light on the roles of YABBY genes in the evolution of SCC4 plants and their distinct physiologies.

Differentiation of Bacillus thuringiensis From Bacillus cereus Group Using a Unique Marker Based on Real-Time PCR.

The efficiency of a novel biomarker (the transcriptional regulator, XRE) was tested and evaluated in differentiating Bacillus thuringiensis from Bacillus cereus group species in environmental and spiked samples based on PCR and real-time PCR. Totally 120 strains, representing two bacterial groups, B. cereus group and non-Bacillus sp., were used to evaluate the performance of XRE and crystal protein (cry2, an existing biomarker). Further, three diverse samples (kimbap, lettuce, and spinach) were inoculated with B. thuringiensis and prominent biomarkers XRE and cry2 were used as targets. Direct analysis of the detection results for the pure cultures of B. cereus group wild-types, references and type strains revealed an accuracy rate of 97.5% targeting XRE, and 83.3% targeting cry2. The real-time PCR was constructed with a R 2-value of 0.993. For the artificially contaminated samples, a concentration of 103 CFU/g of B. thuringiensis in spiked food samples could be detected using real-time PCR targeting XRE. A good performance was obtained with XRE in discriminating B. thuringiensis from B. cereus groups, as well as detecting B. thuringiensis in spiked food samples with PCR or real-time PCR. Therefore, this real-time PCR targeting XRE can be used as a dependable and promising tool to identify B. thuringiensis in foods.

Prediction of Host-Specific Genes by Pan-Genome Analyses of the Korean Ralstonia solanacearum Species Complex.

The soil-borne pathogenic Ralstonia solanacearum species complex (RSSC) is a group of plant pathogens that is economically destructive worldwide and has a broad host range, including various solanaceae plants, banana, ginger, sesame, and clove. Previously, Korean RSSC strains isolated from samples of potato bacterial wilt were grouped into four pathotypes based on virulence tests against potato, tomato, eggplant, and pepper. In this study, we sequenced the genomes of 25 Korean RSSC strains selected based on these pathotypes. The newly sequenced genomes were analyzed to determine the phylogenetic relationships between the strains with average nucleotide identity values, and structurally compared via multiple genome alignment using Mauve software. To identify candidate genes responsible for the host specificity of the pathotypes, functional genome comparisons were conducted by analyzing pan-genome orthologous group (POG) and type III secretion system effectors (T3es). POG analyses revealed that a total of 128 genes were shared only in tomato-non-pathogenic strains, 8 genes in tomato-pathogenic strains, 5 genes in eggplant-non-pathogenic strains, 7 genes in eggplant-pathogenic strains, 1 gene in pepper-non-pathogenic strains, and 34 genes in pepper-pathogenic strains. When we analyzed T3es, three host-specific effectors were predicted: RipS3 (SKWP3) and RipH3 (HLK3) were found only in tomato-pathogenic strains, and RipAC (PopC) were found only in eggplant-pathogenic strains. Overall, we identified host-specific genes and effectors that may be responsible for virulence functions in RSSC in silico. The expected characters of those genes suggest that the host range of RSSC is determined by the comprehensive actions of various virulence factors, including effectors, secretion systems, and metabolic enzymes.

Whole-Genome Sequence of Erwinia persicina B64, Which Causes Pink Soft Rot in Onions.

Erwinia persicina B64 was isolated from rotten onions in cold-storage facilities. Here, we report the complete genome sequence of E. persicina B64, which contains 5,070,450 bp with 55.17% GC content. The genome of this isolate is composed of one chromosome and two plasmids.

Understanding the ontogeny and succession of Bacillus velezensis and B. subtilis subsp. subtilis by focusing on kimchi fermentation.

Bacillus subtilis and B. velezensis are frequently isolated from various niches, including fermented foods, water, and soil. Within the Bacillus subtilis group, B. velezensis and B. subtilis subsp. subtilis have received significant attention as biological resources for biotechnology-associated industries. Nevertheless, radical solutions are urgently needed to identify microbes during their ecological succession to accurately confirm their action at the species or subspecies level in diverse environments, such as fermented materials. Thus, in this study, previously published genome data of the B. subtilis group were compared to exploit species- or subspecies-specific genes for use as improved qPCR targets to detect B. velezensis and B. subtilis subsp. subtilis in kimchi samples. In silico analyses of the selected genes and designed primer sequences, in conjunction with SYBR Green real-time PCR, confirmed the robustness of this newly developed assay. Consequently, this study will allow for new insights into the ontogeny and succession of B. velezensis and B. subtilis subsp. subtilis in various niches. Interestingly, in white kimchi without red pepper powder, neither B. subtilis subsp. subtilis nor B. velezensis was detected.

New insight and metrics to understand the ontogeny and succession of Lactobacillus plantarum subsp. plantarum and Lactobacillus plantarum subsp. argentoratensis.

Lactobacillus plantarum is one of the most extensively studied Lactobacillus species because of its presence in a variety of environmental niches, versatility, and metabolic capabilities, resulting in the use of this organism in many industrial applications. However, although extensive effort has been invested in screening this species from a variety of habitats, a reliable and accurate method for studying the succession and ontogeny of this organism in complex ecosystems is still required to confirm the activity of L. plantarum at the subspecies level. Therefore, in this study, novel subspecies-specific genes for the quantitative detection of two L. plantarum subspecies were identified by comparative genomic analysis. The specificity of primer sets for selected genes specific to each targeted microbe was confirmed in kimchi samples. Interestingly, in all the kimchi samples at 4 °C, the presence of L. plantarum subsp. argentoratensis was not observed. Hence, we found that low temperatures markedly affected the ontogeny of L. plantarum subsp. argentoratensis during kimchi fermentation. Subsequently, this touchstone method will offer new insight and metrics to understand the ontogeny and succession of L. plantarum subsp. plantarum and L. plantarum subsp. argentoratensis in various niches.

Molecular discrimination of Bacillus cereus group species in foods (lettuce, spinach, and kimbap) using quantitative real-time PCR targeting groEL and gyrB.

The aim of the study was to identify and evaluate specific biomarkers to differentiate within Bacillus cereus group species from contaminated food samples with the use of real-time PCR. A total of 120 strains, comprising of 28 reference, 2 type, 78 wild strains of B. cereus and B. thuringiensis along with 12 strains representing 2 bacterial groups - B. mycoides, B. pseudomycoides, B. weihenstephanensis (B. cereus group); B. amyloliquefaciens, B. subtilis, Enterococcus faecalis, Escherichia coli, Listeria monocytogenes, Micrococcus luteus, Salmonella enterica, Staphylococcus aureus, Streptococcus pyogenes (non-Bacillus sp.) were identified by applying valid biomarkers (groEL and gyrB). In addition, the presence of B. cereus group was determined in three different artificially contaminated vegetable samples (lettuce, spinach, and kimbap), using prominent biomarkers targeting on chaperonin protein (GroEL) and topoisomerase enzyme protein (gyrB). Direct analysis of samples revealed the specificity towards identification and characterization of the B. cereus group among wild, reference and type strains and the type strain inoculated in vegetables. Our results demonstrated two existing biomarkers groEL and gyrB with a high specificity of 98% and 96% respectively to analyze the total B. cereus group. Further, we also reported the detection limit of groEL and gyrB in food samples was 3.5 and 3.7 log CFU/g respectively. Thus, the developed real-time PCR approach can be a reliable and effective tool for the identification of B. cereus group strains present in environment and food samples. This does not require band isolation, re-amplification, sequencing or sequence identification, thus reducing the time and cost of analysis.