aoxia Xi

Evaluation of bacterial contamination in raw milk, ultra-high temperature milk and infant formula using single molecule, real-time sequencing technology.

The Pacific Biosciences (Menlo Park, CA) single molecule, real-time sequencing technology (SMRT) was reported to have some advantages in analyzing the bacterial profile of environmental samples. In this study, the presence of bacterial contaminants in raw milk, UHT milk, and infant formula was determined by SMRT sequencing of the full length 16S rRNA gene. The bacterial profiles obtained at different taxonomic levels revealed clear differences in bacterial community structure across the 16 analyzed dairy samples. No indicative pathogenic bacteria were found in any of these tested samples. However, some of the detected bacterial species (e.g., Bacillus cereus, Enterococcus casseliflavus, and Enterococcus gallinarum) might potentially relate with product quality defects and bacterial antibiotic gene transfer. Although only a limited number of dairy samples were analyzed here, our data have demonstrated for the first time the feasibility of using the SMRT sequencing platform in detecting bacterial contamination. Our paper also provides interesting reference information for future development of new precautionary strategies for controlling the dairy safety in large-scale industrialized production lines.

High-throughput sequencing reveals microbial community diversity of Tibetan naturally fermented yak milk

Naturally fermented yak milk (NFYM) is a traditional Tibetan fermented product that contains a rich microbial community. This study used high-throughput pyrosequencing to investigate the bacterial and fungal community diversity of 16 NFYM samples from the villages Geda and Ningzhong in Tibet. Pyrosequencing produced a total of 112,173 high quality bacterial 16S rRNA gene sequences and 90,980 fungal high quality reads from the NFYM. Sequence analysis grouped the high quality gene sequences into eleven bacterial and five fungal phyla, of which Firmicutes and Ascomycota dominated. At the genus level, Lactobacillus and Saccharomyces were the dominating bacteria and fungi, respectively. Principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac values revealed no significant differences in the structure of bacterial and fungal microbiota. However, multivariate analysis of variance (MANOVA) based on unweighted UniFrac distances showed significant differences (P < 0.05) between the bacterial and fungal populations of the two NFYM samples from different villages. After the redundancy analysis (RDA), 49 key responding operational taxonomic units (OTUs) could be identified. Among them, 7 OTUs (Acinetobacter, unidentified Bacteroidetes, Lactobacillus, unidentified Proteobacteria, Streptococcus, Pantoea, and unidentified Firmicutes) were enriched in the Geda village samples, while 42 OTUs (mainly Massilia, Propionibacterium, Lactococcus, Leuconostoc, and Enterococcus) were enriched in the Ningzhong village samples. The present work provided insights into the microbiome of Tibetan NFYM and showed that the microbiota composition may be stratified by their geographic regions.

Molecular identification and quantification of lactic acid bacteria in traditional fermented dairy foods of Russia

Russian traditional fermented dairy foods have been consumed for thousands of years. However, little research has focused on exploiting lactic acid bacteria (LAB) resources and analyzing the LAB composition of Russian traditional fermented dairy foods. In the present study, we cultured LAB isolated from fermented mare and cow milks, sour cream, and cheese collected from Kalmykiya, Buryats, and Tuva regions of Russia. Seven lactobacillus species and the Bifidobacterium genus were quantified by quantitative PCR. The LAB counts in these samples ranged from 3.18 to 9.77 log cfu/mL (or per gram). In total, 599 LAB strains were obtained from these samples using de Man, Rogosa, and Sharpe agar and M17 agar. The identified LAB belonged to 7 genera and 30 species by 16S rRNA and murE gene sequencing and multiplex PCR assay. The predominant LAB isolates were Lactobacillus helveticus (176 strains) and Lactobacillus plantarum (63 strains), which represented 39.9% of all isolates. The quantitative PCR results revealed that counts of 7 lactobacilli species and Bifidobacterium spp. of 30 fermented cow milk samples ranged from 1.19±0.34 (Lactobacillus helveticus in Tuva) to 8.09±0.71 (Lactobacillus acidophilus in Kalmykiya) log cfu/mL of fermented cow milk (mean ± standard error). The numbers of Bifidobacterium spp., Lb. plantarum, Lb. helveticus, and Lb. acidophilus revealed no significant difference between the 3 regions; nevertheless, Lactobacillus paracasei, Lactobacillus fermentum, Lactobacillus sakei, and Lactobacillus delbrueckii ssp. bulgaricus exhibited different degrees of variation across 3 regions. The results demonstrate that traditional fermented dairy products from different regions of Russia have complex compositions of LAB species. The diversity of LAB might be related to the type of fermented dairy product, geographical origin, and manufacturing process.

Multilocus sequence typing of Streptococcus thermophilus from naturally fermented dairy foods in China and Mongolia

BackgroundStreptococcus thermophilus is a major dairy starter used for manufacturing of dairy products. In the present study, we developed a multilocus sequence typing (MLST) scheme for this important food bacterium. Sequences of 10 housekeeping genes (carB, clpX, dnaA, murC, murE, pepN, pepX, pyrG, recA, and rpoB) were obtained for 239 S. thermophilus strains, which were isolated from home-made fermented dairy foods in 18 different regions of Mongolia and China.MethodsAll 10 genes of S. thermophilus were sequenced, aligned, and defined sequence types (STs) using the BioNumerics Software. The nucleotide diversity was calculated by START v2.0. The population structure, phylogenetic relationships and the role of recombination were inferred using ClonalFrame v1.2, SplitsTree 4.0 and Structure v2.3.ResultsThe 239 S. thermophilus isolates and 18 reference strains could be assigned into 119 different STs, which could be further separated into 16 clonal complexes (CCs) and 38 singletons. Among the 10 loci, a total of 132 polymorphic sites were detected. The standardized index of association (IAS = 0.0916), split-decomposition and ρ/θ (relative frequency of occurrence of recombination and mutation) and r/m value (relative impact of recombination and mutation in the diversification) confirms that recombination may have occurred, but it occurred at a low frequency in these 10 loci. Phylogenetic trees indicated that there were five lineages in the S. thermophilus isolates used in our study. MSTree and ClonalFrame tree analyses suggest that the evolution of S. thermophilus isolates have little relationship with geographic locality, but revealed no association with the types of fermented dairy product. Phylogenetic analysis of 36 whole genome strains (18 S. thermophilus, 2 S. vestibularis and 16 S. salivarius strains) indicated that our MLST scheme could clearly separate three closely related species within the salivarius group and is suitable for analyzing the population structure of the other two species in the salivarius group.ConclusionsOur newly developed MLST scheme improved the understanding on the genetic diversity and population structure of the S. thermophilus, as well as provided useful information for further studies on the genotyping and evolutionary research for S. thermophilus strains with global diversity.

Unique Features of Ethnic Mongolian Gut Microbiome revealed by metagenomic analysis

The human gut microbiota varies considerably among world populations due to a variety of factors including genetic background, diet, cultural habits and socioeconomic status. Here we characterized 110 healthy Mongolian adults gut microbiota by shotgun metagenomic sequencing and compared the intestinal microbiome among Mongolians, the Hans and European cohorts. The results showed that the taxonomic profile of intestinal microbiome among cohorts revealed the Actinobaceria and Bifidobacterium were the key microbes contributing to the differences among Mongolians, the Hans and Europeans at the phylum level and genus level, respectively. Metagenomic species analysis indicated that Faecalibacterium prausnitzii and Coprococcus comeswere enrich in Mongolian people which might contribute to gut health through anti-inflammatory properties and butyrate production, respectively. On the other hand, the enriched genus Collinsella, biomarker in symptomatic atherosclerosis patients, might be associated with the high morbidity of cardiovascular and cerebrovascular diseases in Mongolian adults. At the functional level, a unique microbial metabolic pathway profile was present in Mongolian’s gut which mainly distributed in amino acid metabolism, carbohydrate metabolism, energy metabolism, lipid metabolism, glycan biosynthesis and metabolism. We can attribute the specific signatures of Mongolian gut microbiome to their unique genotype, dietary habits and living environment.

Investigating bacterial population structure and dynamics in traditional koumiss from Inner Mongolia using single molecule real-time sequencing.

Koumiss is considered as a complete dairy product high in nutrients and with medicinal properties. The bacterial communities involved in production of koumiss play a crucial role in the fermentation cycle. To reveal bacterial biodiversity in koumiss and the dynamics of succession in bacterial populations during fermentation, 22 samples were collected from 5 sampling sites and the full length of the 16S ribosomal RNA genes sequenced using single molecule real-time sequencing technology. One hundred forty-eight species were identified from 82 bacterial genera and 8 phyla. These results suggested that the structural difference in the bacterial community could be attributed to geographical location. The most significant difference in bacterial composition occurred in samples from group D compared with other groups. The sampling location of group D was distant from the city and maintained the primitive local nomadic life. The dynamics of succession in bacterial communities showed that Lactobacillus helveticus increased in abundance from 0 to 9h and reached its peak at 9h and then decreased. In contrast, Enterococcus faecalis, Enterococcus durans, and Enterococcus casseliflavus increased gradually throughout the fermentation process, and reached a maximum after 24h.

Using PacBio Long-Read High-Throughput Microbial Gene Amplicon Sequencing To Evaluate Infant Formula Safety

Infant formula (IF) requires a strict microbiological standard because of the high vulnerability of infants to foodborne diseases. The current study used the PacBio single-molecule real-time (SMRT) sequencing platform to generate full-length 16S rRNA-based bacterial microbiota profiles of 30 Chinese domestic and imported IF samples. A total of 600 species were identified, dominated by Streptococcus thermophilus, Lactococcus lactis, and Lactococcus piscium. Distinctive bacterial profiles were observed between the two sample groups, as confirmed with both principal coordinate analysis and multivariate analysis of variance. Moreover, the product whey protein nitrogen index (WPNI), representing the degree of preheating, negatively correlated with the relative abundances of the Bacillus genus. This study has demonstrated the application of the PacBio SMRT sequencing platform in assessing the bacterial contamination of IF products, which is of interest to the dairy industry for effective monitoring of microbial quality and safety during production.

Bacterial microbiota of Kazakhstan cheese revealed by single molecule real time (SMRT) sequencing and its comparison with Belgian, Kalmykian and Italian artisanal cheeses

BackgroundIn Kazakhstan, traditional artisanal cheeses have a long history and are widely consumed. The unique characteristics of local artisanal cheeses are almost completely preserved. However, their microbial communities have rarely been reported. The current study firstly generated the Single Molecule, Real-Time (SMRT) sequencing bacterial diversity profiles of 6 traditional artisanal cheese samples of Kazakhstan origin, followed by comparatively analyzed the microbiota composition between the current dataset and those from cheeses originated from Belgium, Russian Republic of Kalmykia (Kalmykia) and Italy.ResultsAcross the Kazakhstan cheese samples, a total of 238 bacterial species belonging to 14 phyla and 140 genera were identified. Lactococcus lactis (28.93%), Lactobacillus helveticus (26.43%), Streptococcus thermophilus (12.18%) and Lactobacillus delbrueckii (12.15%) were the dominant bacterial species for these samples. To further evaluate the cheese bacterial diversity of Kazakhstan cheeses in comparison with those from other geographic origins, 16S rRNA datasets of 36 artisanal cheeses from Belgium, Russian Republic of Kalmykia (Kalmykia) and Italy were retrieved from public databases. The cheese bacterial microbiota communities were largely different across sample origins. By principal coordinate analysis (PCoA) and multivariate analysis of variance (MANOVA), the structure of the Kazakhstan artisanal cheese samples was found to be different from those of the other geographic origins. Furthermore, the redundancy analysis (RDA) identified 16 bacterial OTUs as the key variables responsible for such microbiota structural difference.ConclusionOur results together suggest that the diversity of bacterial communities in different groups is stratified by geographic region. This study does not only provide novel information on the bacterial microbiota of traditional artisanal cheese of Kazakhstan at species level, but also interesting insights into the bacterial diversity of artisanal cheeses of various geographical origins.

Comparative genomic analysis of the genus Enterococcus

As important lactic acid bacteria, Enterococcus species are widely used in the production of fermented food. However, as some strains of Enterococcus are opportunistic pathogens, their safety has not been generally accepted. In recent years, a large number of new species have been described and classified within the genus Enterococcus, so a better understanding of the genetic relationships and evolution of Enterococcus species is needed. In this study, the genomes of 29 type strains of Enterococcus species were sequenced. In combination with eight complete genome sequences from the Genbank database, the whole genomes of 37 strains of Enterococcus were comparatively analyzed. The average length of Enterococcus genomes was 3.20Mb and the average GC content was 37.99%. The core- and pan- genomes were defined based on the genomes of the 37 strains of Enterococcus. The core-genome contained 605 genes, a large proportion of which were associated with carbohydrate metabolism, protein metabolism, DNA and RNA metabolism. The phylogenetic tree showed that habitat is very important in the evolution of Enterococcus. The genetic relationships were closer in strains that come from similar habitats. According to the topology of the time tree, we found that humans and mammals may be the original hosts of Enterococcus, and then species from humans and mammals made a host-shift to plants, birds, food and other environments. However, it was just an evolutionary scenario, and more data and efforts were needed to prove this postulation. The comparative genomic analysis provided a snapshot of the evolution and genetic diversity of the genus Enterococcus, which paves the way for follow-up studies on its taxonomy and functional genomics.

Bovine mastitis may be associated with the deprivation of gut Lactobacillus

Bovine mastitis is an economical important microbial disease in dairy industry. Some recent human clinical trials have shown that oral probiotics supplementation could effectively control clinical mastitis, suggesting that the mechanism of mastitis protection might be achieved via the host gut microbiota. We aimed to test our hypothesis that bovine mastitis was related to changes in both the mammary and gut microbial profiles. By quantitative PCR, the milk and faecal microbial profiles of cows with low (<3×105 cells/ml) and high (>1×106 cells/ml) somatic cell count (SCC) were compared. Firstly, we observed drastic differences in both the milk and faecal microbial compositions at genus and Lactobacillus-species levels between the two groups. Secondly, the pattern of faecal microbial community changes of mastitis cows was similar to that of the milk, characterised by a general increase in the mastitis pathogens (Enterococcus, Streptococcus and Staphylococcus) and deprivation of Lactobacillus and its members (L. salivarius, L. sakei, L. ruminis, L. delbrueckii, L. buchneri, and L. acidophilus). Thirdly, only the faecal lactobacilli, but not bifidobacteria correlated with the milk microbial communities and SCC. Our data together hint to a close association between bovine mastitis, the host gut and milk microbiota.