Project description:Bacteria assume distinct lifestyles during the planktonic and biofilm modes of growth. In biofilms, they are more tolerant to antibiotics and can evade the immune system response more effectively. However, little is known regarding the molecular determinants involved in biofilm formation by Gardnerella vaginali, the predominant species found in bacterial vaginosis (BV). Hence, to gain insight into the pathogenesis of G. vaginalis, we carried out a comparative transcriptomic analysis between planktonic and biofilm phenotypes, using RNA-sequencing. The major alterations observed were related with the transcription of genes involved in cell wall biogenesis and typical stress factors, in which was found significantly up-regulated in biofilms, resulting in a protected mode of bacterial growth. In addition, biofilm phenotype was characterized by low metabolic activity, which is appropriate to guarantee long term survival during BV recurrence.
Project description:Bacterial vaginosis (BV) treatment failures or recurrences are common. To identify features associated with treatment response, we compared vaginal microbiota and host ectocervical transcriptome before and after oral metronidazole therapy. Response to metronidazole is characterized by significant changes in chemokines and related transcripts suggesting that strategies to promote these pathways may prove beneficial.
Project description:The aim of the study was to investigate gene expression profiles of post-menopausal women receiving Premarin estrogen replacement therapy (ERT), compared to controls and to examine any correlations between the bacterial vaginosis (BV) status of the stubjects. This is the first study to use gene arrays to correlate changes in host expression to ERT and BV.
Project description:This study includes 1146 samples of host genotyping data (genotyped) from Illumina Omni arrays. Samples were collected from adults (>16 yrs) patients with CSF confirmed bacterial meningitis in the Netherlands between 2006 and 2015. Metadata includes patient outcome, species of bacteria, and for 467 samples a link to an ENA run with the associated bacterial genome (S. pneumoniae only).
Project description:Legume plants can form root organs called nodules where they house intracellular symbiotic rhizobium bacteria. Within nodule cells, rhizobia differentiate into bacteroids, which fix nitrogen for the benefit of the plant. Depending on the combination of host plants and rhizobial strains, the output of rhizobium-legume interactions is varying from non-fixing associations to symbioses that are highly beneficial for the plant. Bradyrhizobium diazoefficiens USDA110 was isolated as a soybean symbiont but it can also establish a functional symbiotic interaction with Aeschynomene afraspera. In contrast to soybean, A. afraspera triggers terminal bacteroid differentiation, a process involving bacterial cell elongation, polyploidy and membrane permeability leading to loss of bacterial viability while plants increase their symbiotic benefit. A combination of plant metabolomics, bacterial proteomics and transcriptomics along with cytological analyses was used to study the physiology of USDA110 bacteroids in these two host plants. We show that USDA110 establish a poorly efficient symbiosis with A. afraspera, despite the full activation of the bacterial symbiotic program. We found molecular signatures of high level of stress in A. afraspera bacteroids whereas those of terminal bacteroid differentiation were only partially activated. Finally, we show that in A. afraspera, USDA110 bacteroids undergo an atypical terminal differentiation hallmarked by the disconnection of the canonical features of this process. This study pinpoints how a rhizobium strain can adapt its physiology to a new host and cope with terminal differentiation when it did not co-evolve with such a host.
Project description:Antagonism between P.donghuensis SVBP6, biocontrol soil bacteria, and M.phaseolina on potato dextrose agar. Untargeted metabolomics of ethyl acetate extracts. Fungal, bacterial, and interaction agar samples.
Project description:Full clinical data for a cohort of 199 individuals with acute coronary syndrome.
Untargeted serum metabolomics using the Metabolon platform for individuals with ACS (n=156).
Serum metabolomics using the Nightingale Health (NMR) platform for individuals with ACS and controls (ACS, n=191; controls, n=961).
