Development of a quantitative real-time PCR method to enumerate total bacterial counts in ready-to-eat fruits and vegetables

Rapid detection of total bacteria in foods using a poly-l-lysine-based lateral-flow assay

Food safety and freshness are evaluated according to microbiological load. To analyze this load rapidly, a poly-_l-lysine-based lateral-flow assay (PLFA) was developed. A total of 90 strains of bacteria that are often detected in spoiled foods, including Enterobacteriaceae, lactic acid bacteria, Pseudomonas, and Bacillus were detected using the PLFA. A positive signal was obtained when the bacterial concentration was ≥6 log₁₀ (cfu/test). A total of 36 fresh foods (meats, pastries, lettuces, cabbages, radishes, and sprouts) and corresponding spoiled foods were cultured for 0, 3, 6, and 9 h to investigate how many hours were required for microbial detection using PLFA. The higher the number of bacteria in a food, the shorter was the culture time required for PLFA-positive results to be obtained, so the distinction between fresh and spoiled food could be made based on the time taken for the culture to become PLFA-positive. The coefficient of determination of the least squares regression between the time to become PLFA-positive and the initial log₁₀ (cfu/g) bacterial count for the food was 0.9888. The test time for the PLFA, including pretreatment, was approximately 15-30 min. This novel method will enable the detection of total bacteria on the food processing site.

Clusters of Antibiotic Resistance Genes Enriched Together Stay Together in Swine Agriculture

Antibiotic resistance is a worldwide health risk, but the influence of animal agriculture on the genetic context and enrichment of individual antibiotic resistance alleles remains unclear. Using quantitative PCR followed by amplicon sequencing, we quantified and sequenced 44 genes related to antibiotic resistance, mobile genetic elements, and bacterial phylogeny in microbiomes from U.S. laboratory swine and from swine farms from three Chinese regions. We identified highly abundant resistance clusters: groups of resistance and mobile genetic element alleles that cooccur. For example, the abundance of genes conferring resistance to six classes of antibiotics together with class 1 integrase and the abundance of IS6100-type transposons in three Chinese regions are directly correlated. These resistance cluster genes likely colocalize in microbial genomes in the farms. Resistance cluster alleles were dramatically enriched (up to 1 to 10% as abundant as 16S rRNA) and indicate that multidrug-resistant bacteria are likely the norm rather than an exception in these communities. This enrichment largely occurred independently of phylogenetic composition; thus, resistance clusters are likely present in many bacterial taxa. Furthermore, resistance clusters contain resistance genes that confer resistance to antibiotics independently of their particular use on the farms. Selection for these clusters is likely due to the use of only a subset of the broad range of chemicals to which the clusters confer resistance. The scale of animal agriculture and its wastes, the enrichment and horizontal gene transfer potential of the clusters, and the vicinity of large human populations suggest that managing this resistance reservoir is important for minimizing human risk.

IMPORTANCE

Agricultural antibiotic use results in clusters of cooccurring resistance genes that together confer resistance to multiple antibiotics. The use of a single antibiotic could select for an entire suite of resistance genes if they are genetically linked. No links to bacterial membership were observed for these clusters of resistance genes. These findings urge deeper understanding of colocalization of resistance genes and mobile genetic elements in resistance islands and their distribution throughout antibiotic-exposed microbiomes. As governments seek to combat the rise in antibiotic resistance, a balance is sought between ensuring proper animal health and welfare and preserving medically important antibiotics for therapeutic use. Metagenomic and genomic monitoring will be critical to determine if resistance genes can be reduced in animal microbiomes, or if these gene clusters will continue to be coselected by antibiotics not deemed medically important for human health but used for growth promotion or by medically important antibiotics used therapeutically.

Microbiological Food Safety Status of Commercially Produced Tomatoes from Production to Marketing

Tomatoes have been implicated in various microbial disease outbreaks and are considered a potential vehicle for foodborne pathogens. Traceback studies mostly implicate contamination during production and/or processing. The microbiological quality of commercially produced tomatoes was thus investigated from the farm to market, focusing on the impact of contaminated irrigation and washing water, facility sanitation, and personal hygiene. A total of 905 samples were collected from three largescale commercial farms from 2012 through 2014. The farms differed in water sources used (surface versus well) and production methods (open field versus tunnel). Levels of total coliforms and Escherichia coli and prevalence of E. coli O157:H7 and Salmonella Typhimurium were determined. Dominant coliforms were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. No pathogens or E. coli were detected on any of the tomatoes tested throughout the study despite the high levels of coliforms (4.2 to 6.2 log CFU/g) present on the tomatoes at the market. The dominant species associated with tomatoes belonged to the genera Enterobacter, Klebsiella, and Citrobacter. Water used on the farm for irrigation considered not fit for purpose according to national agricultural irrigation standards, with high E. coli levels resulting from either a highly contaminated source water (river water at 3.19 log most probable number [MPN]/100 ml) or improper storage of source water (stored well water at 1.72 log MPN/100 ml). Salmonella Typhimurium was detected on two occasions on a contact surface in the processing facility of the first farm in 2012. Contact surface coliform counts were 2.9 to 4.8 log CFU/cm(2). Risk areas identified in this study were water used for irrigation and poor sanitation practices in the processing facility. Implementation of effective food safety management systems in the fresh produce industry is of the utmost importance to ensure product safety for consumers.

In situ biodegradation of naphthenic acids in oil sands tailings pond water using indigenous algae-bacteria consortium

In this study, the biodegradation of total acid-extractable organics (TAOs), commonly called naphthenic acids (NAs), was investigated. An indigenous microbial culture containing algae and bacteria was taken from the surface of a tailings pond and incubated over the course of 120days. The influence of light, oxygen and the presence of indigenous algae and bacteria, and a diatom (Navicula pelliculosa) on the TAO removal rate were elucidated. The highest biodegradation rate was observed with bacteria growth only (without light exposure) with a half-life (t(1/2)) of 203days. The algae-bacteria consortium enhanced the detoxification process, however, bacterial biomass played the main role in toxicity reduction. Principal component analysis (PCA) conducted on FT-IR spectra, identified functional groups and bonds (representing potential markers for biotransformation of TAOs) as follows: hydroxyl, carboxyl and amide groups along with CH, arylH, arylOH and NH bonds.

Effects of the antibiotic growth promoters flavomycin and florfenicol on the autochthonous intestinal microbiota of hybrid tilapia (Oreochromis niloticus ♀ × O. aureus ♂)

The 16S rDNA PCR-DGGE and rpoB quantitative PCR (RQ-PCR) techniques were used to evaluate the effects of dietary flavomycin and florfenicol on the autochthonous intestinal microbiota of hybrid tilapia. The fish were fed four diets: control, dietary flavomycin, florfenicol and their combination. After 8 weeks of feeding, 6 fish from each cage were randomly chosen for the analysis. The total number of intestinal bacteria was determined by RQ-PCR. The results showed that dietary antibiotics significantly influenced the intestinal microbiota and dramatically reduced the intensity of total intestinal bacterial counts. The intensity of some phylotypes (EU563257, EU563262 and EU563255) were reduced to non-detectable levels by both dietary antibiotics, while supplementation of florfenicol to the diet also reduced the intensity of the phylotypes EU563242 and EU563262, uncultured Mycobacterium sp.-like, uncultured Cyanobacterium-like and uncultured Cyanobacterium (EU563246). Dietary flavomycin only reduced the OTU intensity of one phylotype, identified as a member of the phylum Fusobacteria. The antibiotic combination only reduced the phylotypes EU563242 and EU563262. Based on our results, we conclude that the reduced effect of florfenicol on intestinal microbiota was stronger than that of flavomycin, and when flavomycin and florfenicol were added in combination, the effect of florfenicol overshadowed that of flavomycin.

A quantitative real-time PCR method for monitoring Clostridium botulinum type A in rice samples

A quantitative real-time PCR using SYBR Green dye was developed to target the neurotoxin type A (boNT/A) gene of Clostridium botulinum type A. Primer specificity was confirmed by analyzing 63 strains including 5 strains of C. botulinum type A and 11 of non-type A C. botulinum. The highly similar amplification efficiencies of the real-time PCR assay were observed for 5 strains of C. botulinum type A. The DNA extraction with NucliSENS miniMAG provided sufficient performance to obtain the purified DNA from steamed rice samples and to develop the standard curve for the enumeration of C. botulinum in steamed rice samples. The real-time PCR assay could detect 10 cells per milliliter of 10 x rice homogenate, thus indicating that more than 100 C. botulinum cells per g of rice sample was quantifiable by the real-time PCR assay. The inoculation of aseptic rice samples with low numbers of C. botulinum type A cells revealed that the fate of inoculated C. botulinum type A cells in rice samples could be monitored accurately by the real-time PCR assay. These results indicate that the real-time PCR assay developed in this study provides rapid, effective, and quantitative monitoring of C. botulinum in steamed rice samples.

Design of a New Universal Real-Time PCR System Targeting the tuf Gene for the Enumeration of Bacterial Counts in Food

A novel universal real-time PCR, consisting of newly designed oligonucleotide subsets, was designed for a bacterial housekeeping gene encoding the peptide elongation factor Tu. Specificity and universality were confirmed in 66 bacterial strains, including 51 genera and 63 species. The amplification kinetics of tuf gene–targeted real-time quantitative PCR were consistent in a wide range of bacterial species tested. A calibration curve (r2 = 0.97) was produced for the estimation of bacterial counts, based on measurements of representative inoculations with 10-fold serial dilutions of the cells of representative bacterial species. Linear regression analysis of the real-time PCR–derived bacterial counts and aerobic plate counts, in a total 149 samples consisting of 25 minced meat, 34 fresh-cut vegetables, and 90 fish, exhibited a high correlation (r2 = 0.84, 0.87, and 0.95, respectively) over the range of 3.0 to 9.0 log CFU/g. In total, the difference between the two methods was less than 0.5 log in 75 of these samples, and in the remaining 74 samples, the difference was 0.5 to 1.0 log. Presently, our tuf gene–targeted real-time quantitative PCR assay achieves a rapid (within 2 h) estimation of bacterial counts of 3.0 to 9.0 log CFU/g, in a practical manner.

Defensins as anti-inflammatory compounds and mucosal adjuvants

Human neutrophil peptide alpha-defensins and human beta-defensins are small, well-characterized peptides with broad antimicrobial activities. In mixtures with microbial antigens, defensins attenuate proinflammatory cytokine responses by dendritic cells in culture, attenuate proinflammatory cytokine responses in the nasal fluids of exposed mice and enhance antibody responses in the serum of vaccinated mice. Although the exact mechanisms are unknown, defensins first start by binding to microbial antigens and adhesins, often attenuating toxic or inflammatory-inducing capacities. Binding is not generic; it appears to be both defensin-specific and antigen-specific with high affinities. Binding of defensins to antigens may, in turn, alter the interaction of antigens with epithelial cells and antigen-presenting cells attenuating the production of proinflammatory cytokines. The binding of defensins to antigens may also facilitate the delivery of bound antigen to antigen-presenting cells in some cases via specific receptors. These interactions enhance the immunogenicity of the bound antigen in an adjuvant-like fashion. Future research will determine the extent to which defensins can suppress early events in inflammation and enhance systemic antibody responses, a very recent and exciting concept that could be exploited to develop therapeutics to prevent or treat a variety of oral mucosal infections, particularly where inflammation plays a role in the pathogenesis of disease and its long-term sequelae.

Application of quantitative reverse-transcription PCR (qRT-PCR) for the determination of the total viable count (TVC) on meat samples

AIM

To apply a quantitative reverse-transcription PCR (qRT-PCR) method to determine the total viable count (TVC) on meat samples.

METHODS AND RESULTS

Using two sets of primers to target the ribonuclease-P (RNase P) RNA transcripts of Gram-positive and Gram-negative bacteria, standard curves were generated using the LightCycler 2.0 instrument (Roche Diagnostics). RNA standards were extracted from known cell numbers and subsequently converted to cDNA for the construction of standard curves for quantification of the TVC of beef carcass swabs (n = 60) and beef (n = 30), chicken (n = 50) and pork (n = 49) pieces. A high correlation between the standard plate count method and the qRT-PCR was observed for beef swabs (R(2) = 0·93) and beef pieces (R(2) = 0·82). The correlation coefficient for chicken pieces and pork pieces were R(2) = 0·34 and 0·55, respectively. Using beef pieces (n = 13), an interlaboratory study was conducted and each participating laboratory (n = 3) found a reasonable degree of agreement between the cultural method and the PCR method.

CONCLUSIONS

The qRT-PCR assay used in this study can enumerate the total bacteria on beef samples with a high degree of accuracy.

SIGNIFICANCE AND IMPACT OF THE STUDY

The qRT-PCR method may have the potential to be applied to various sample types as an alternative rapid method for determining TVCs; however, further validation would be required.

Concentrations of host-specific and generic fecal markers measured by quantitative PCR in raw sewage and fresh animal feces

We measured the concentrations of four host-specific (human, dog, cow, and horse Bacteroidales), four generic fecal (16S total Bacteroidales and Escherichia coli, 23S Enterococcus and uidA E. coli,) and two universal bacterial (16S universal and rpoB universal) DNA targets by qPCR in raw sewage and pooled fecal samples from dogs, cows, horses, and Canada Geese. A spiking protocol using the non-fecal bacterium Pseudomonas syringae pph 6 was developed to estimate the recovery of DNA from fecal and environmental samples. The measured fecal marker concentrations were used to calculate baseline ratios and variability of host-specific to generic indicators for each host type. The host-specific markers were found in high concentrations (8-9 log(10)copies/g dry wt.) in their respective hosts' samples, which were equal to or greater than the concentrations of generic E. coli and Enterococcus markers, lending support to the use of host-specific and generic Bacteroidales as sensitive indicators of fecal pollution. The host-specific markers formed a consistent percentage of total Bacteroidales in target host feces and raw sewage, with human-specific comprising 82%, dog-specific 6%, cow-specific 4% and horse-specific 2%. Based on this limited data set, the measurement of host-specific indicators by qPCR has several promising applications. These applications include determining the percentage of total Bacteroidales contributed by a specific host type, using the ratios of host-specific markers to E. coli or Enterococcus to estimate the contribution of each source to these regulated fecal indicator bacteria, and estimating the mass of feces from each host type in environmental samples.

A novel quantitative reverse-transcription PCR (qRT-PCR) for the enumeration of total bacteria, using meat micro-flora as a model

A sensitive quantitative reverse-transcription PCR (qRT-PCR) method was developed for enumeration of total bacteria. Using two sets of primers separately to target the ribonuclease-P (RNase P) RNA transcripts of gram positive and gram negative bacteria. Standard curves were generated using SYBR Green I kits for the LightCycler 2.0 instrument (Roche Diagnostics) to allow quantification of mixed microflora in liquid media. RNA standards were used and extracted from known cell equivalents and subsequently converted to cDNA for the construction of standard curves. The number of mixed bacteria in culture was determined by qRT-PCR, and the results correlated (r(2)=0.88, rsd=0.466) with the total viable count over the range from approx. Log(10) 3 to approx. Log(10) 7 CFU ml(-1). The rapid nature of this assay (8 h) and its potential as an alternative method to the standard plate count method to predict total viable counts and shelf life are discussed.