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Author (up) Gajer, P.; Brotman, R.M.; Bai, G.; Sakamoto, J.; Schutte, U.M.E.; Zhong, X.; Koenig, S.S.K.; Fu, L.; Ma, Z.S.; Zhou, X.; Abdo, Z.; Forney, L.J.; Ravel, J. file  url
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  Title Temporal dynamics of the human vaginal microbiota Type Journal Article
  Year 2012 Publication Science Translational Medicine Abbreviated Journal Sci Transl Med  
  Volume 4 Issue 132 Pages 132ra52  
  Keywords Bacteria/classification/genetics; Female; Humans; Magnetic Resonance Spectroscopy; Metabolome; Metabolomics; Metagenome/genetics/*physiology; Models, Biological; Phylogeny; Time Factors; Vagina/*microbiology; Microbiome  
  Abstract Elucidating the factors that impinge on the stability of bacterial communities in the vagina may help in predicting the risk of diseases that affect women's health. Here, we describe the temporal dynamics of the composition of vaginal bacterial communities in 32 reproductive-age women over a 16-week period. The analysis revealed the dynamics of five major classes of bacterial communities and showed that some communities change markedly over short time periods, whereas others are relatively stable. Modeling community stability using new quantitative measures indicates that deviation from stability correlates with time in the menstrual cycle, bacterial community composition, and sexual activity. The women studied are healthy; thus, it appears that neither variation in community composition per se nor higher levels of observed diversity (co-dominance) are necessarily indicative of dysbiosis.  
  Call Number Serial 2175  
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Author (up) Rasmussen, S.; Lane, G.A.; Mace, W.; Parsons, A.J.; Fraser, K.; Xue, H. file  url
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  Title The use of genomics and metabolomics methods to quantify fungal endosymbionts and alkaloids in grasses Type Journal Article
  Year 2012 Publication Methods in Molecular Biology (Clifton, N.J.) Abbreviated Journal Methods Mol Biol  
  Volume 860 Issue Pages 213-226  
  Keywords Alkaloids/genetics/metabolism; Genomics; Lolium/*genetics/*metabolism/microbiology; Metabolomics; Neotyphodium/*isolation & purification; Poaceae/*genetics/*metabolism; Symbiosis/genetics  
  Abstract The association of plants with endosymbiotic micro-organisms poses a particular challenge to metabolomics studies. The presence of endosymbionts can alter metabolic profiles of plant tissues by introducing non-plant metabolites such as fungal specific alkaloids, and by metabolic interactions between the two organisms. An accurate quantification of the endosymbiont and its metabolites is therefore critical for studies of interactions between the two symbionts and the environment.Here, we describe methods that allow the quantification of the ryegrass Neotyphodium lolii fungal endosymbiont and major alkaloids in its host plant Lolium perenne. Fungal concentrations were quantified in total genomic DNA (gDNA) isolated from infected plant tissues by quantitative PCR (qPCR) using primers specific for chitinase A from N. lolii. To quantify the fungal alkaloids, we describe LC-MS based methods which provide coverage of a wide range of alkaloids of the indolediterpene and ergot alkaloid classes, together with peramine.  
  Call Number Serial 943  
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