Project description:Purpose: The aim of the study was to compare the miRNA expression in non-infected (H) mammary gland parenchyma samples with that of glands infected with coagulase-positive staphy lococci (CoPS) or coagulase-negative staphylococci (CoNS) using next-generation sequencing. Methods: miRNA-seq analysis was performed on mammary gland parenchyma samples collected from non-infected cows and those infected with coagulase-positive or -negative staphylococci. The miRNA libraries were constructed from total RNA using NEBNext Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs) according to the manufacturer protocol. The quantification of the obtained libraries was performed on a Qubit 2.0 spectrophotometer (Invitrogen, Life Technologies), while a quality control on a TapeStation 2200 instrument (D1000 ScreenTape; Agilent). Single-end cycle sequencing was performed on the HiScanSQ platform (Illumina) with the use of TruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). MicroRNA differentially expressed between investigated groups were identified with the DESeq2 software. Results: Comparing the CoPS and H groups, 256 known and 260 potentially new miRNAs were identifed, including 32 that were diferentially expressed (p≤0.05), of which 27 were upregulated and 5 downregulated. Comparing the CoNS and H groups, 242 known and 171 new unique miRNAs were identifed: 10 were upregulated (p≤0.05), and 2 downregulated (p≤0.05). Comparing CoPS with H and CoNS with H, 5 Kyoto Encyclopedia of Genes and Genomes pathways were identifed; in both comparisons, diferentially-expressed miRNAs were associated with the bacterial invasion of epithelial cells and focal adhesion pathways. Four gene ontology terms were identifed in each comparison, with 2 being common to both immune system processes and signal transduction. Conclusions: Obtained results enabled us to characterize the miRNA profile of the mammary gland parenchyma tissue, not only the healthy one but also the tissue infected with coagulase-positive and negative staphylococci as well as allowed identification of miRNAs differing the examined groups and characteristic for the staphylococci infection. They also indicated that miRNAs, especially miR-99 and miR-182, play an essential role in the epigenetic regulation of a range of cellular processes, including immunological systems bacterial growth in dendritic cells and disease pathogenesis (miR-99), DNA repair and tumor progression (miR-182).
Project description:Analysis of gingival crevicular fluid (GCF) samples may give information of the identity of unattached (planktonic) subgingival bacteria, the 35 forefront candidates for systemic dispersal via ulcerated periodontal pocket epithelium. Our study represents the first one targeting the identity of bacteria in gingival crevicular fluid. Methodology/Principal findings: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla 45 were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, 46 per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. Conclusions/Significance: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms. The microbial profiles of GCF and subgingival plaque were analyzed from 17 subjects with periodontal disease.
Project description:Bifidobacteria have been described as a key component of the human gut microbiota, and recently significant efforts have been made to investigate their genome contents and assess the genetic variability at inter- and intra-species level. In the current work we investigated genome diversity among representatives of bifidobacterial species, i.e., Bifidobacterium adolescentis. These analyses were performed with comparative genomic hybridization (CGH) experiments and they revealed the existence of a strictly conserved set of 685 gene families. Furthermore, CGH analyses showed that genetic regions of diversity included mobile elements and putative genomic life-style adaptation islands, such as loci that encode pili and capsular polysaccharides, and genes involved in carbohydrate metabolism. CGH analysis was performed with microarrays that were based on the genome sequences of B. adolescentis ATCC15703 (NC_008618) . A total of 39,249 probes of 35 bp in length were designed using OligoArray 2.1 software. Oligos were synthesized in triplicate on a 2 M-CM-^W 40-k CombiMatrix array (CombiMatrix, Mulkiteo, USA). Replicates were distributed on the chip at random, non-adjacent positions. A set of 74 negative control probes designed on phage and plant sequences was also included on the chip. Seventeen micrograms of purified genomic DNA was labeled with Cy5-ULS using the Kreatech ULS array CGH Labeling kit (Kreatech Diagnostics) according to the supplierM-bM-^@M-^Ys instructions. Hybridization of labeled test DNA to these microarrays was performed according to CombiMatrix protocols. We analysed seven strains belong to B. adolescentis species. Replicates were distributed on the chip at random, non-adjacent positions.
Project description:Bifidobacteria have been described as a key component of the human gut microbiota, and recently significant efforts have been made to investigate their genome contents and assess the genetic variability at inter- and intra-species level. In the current work we investigated genome diversity among representatives of bifidobacterial species, i.e., Bifidobacterium pseudocatenulatum. These analyses were performed with comparative genomic hybridization (CGH) experiments and they revealed the existence of a strictly conserved set of 685 gene families. Furthermore, CGH analyses showed that genetic regions of diversity included mobile elements and putative genomic life-style adaptation islands, such as loci that encode pili and capsular polysaccharides, and genes involved in carbohydrate metabolism. CGH analysis was performed with microarrays that were based on the genome sequences of Bifidobacteriapseudocatenulatum DSM20438 (ABXX00000000.2). A total of 39,249 probes of 35 bp in length were designed using OligoArray 2.1 software. Oligos were synthesized in triplicate on a 2 M-CM-^W 40-k CombiMatrix array (CombiMatrix, Mulkiteo, USA). Replicates were distributed on the chip at random, non-adjacent positions. A set of 74 negative control probes designed on phage and plant sequences was also included on the chip. Seventeen micrograms of purified genomic DNA was labeled with Cy5-ULS using the Kreatech ULS array CGH Labeling kit (Kreatech Diagnostics) according to the supplierM-bM-^@M-^Ys instructions. Hybridization of labeled test DNA to these microarrays was performed according to CombiMatrix protocols. We analysed ten strains belong to Bifidobacteriapseudocatenulatum and Bifidobacteriacatenulatum species. Replicates were distributed on the chip at random, non-adjacent positions.