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      Development and application of the human intestinal tract chip, a phylogenetic microarray: analysis of universally conserved phylotypes in the abundant microbiota of young and elderly adults

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          Abstract

          In this paper we present the in silico assessment of the diversity of variable regions of the small subunit ribosomal RNA (SSU rRNA) gene based on an ecosystem-specific curated database, describe a probe design procedure based on two hypervariable regions with minimal redundancy and test the potential of such probe design strategy for the design of a flexible microarray platform. This resulted in the development and application of a phylogenetic microarray for studying the human gastrointestinal microbiota – referred as the human intestinal tract chip (HITChip). Over 4800 dedicated tiling oligonucleotide probes were designed based on two hypervariable regions of the SSU rRNA gene of 1140 unique microbial phylotypes (< 98% identity) following analysis of over 16 000 human intestinal SSU rRNA sequences. These HITChip probes were hybridized to a diverse set of human intestinal samples and SSU rRNA clones to validate its fingerprinting and quantification potential. Excellent reproducibility (median Pearson's correlation of 0.99) was obtained following hybridization with T7 polymerase transcripts generated in vitro from SSU rRNA gene amplicons. A linear dose–response was observed with artificial mixtures of 40 different representative amplicons with relative abundances as low as 0.1% of total microbiota. Analysis of three consecutively collected faecal samples from ten individuals (five young and five elderly adults) revealed temporal dynamics and confirmed that the adult intestinal microbiota is an individual-specific and relatively stable ecosystem. Further analysis of the stable part allowed for the identification of a universal microbiota core at the approximate genus level (90% sequence similarity). This core consists of members of Actinobacteria, Bacteroidetes and Firmicutes. Used as a phylogenetic fingerprinting tool with the possibility for relative quantification, the HITChip has the potential to bridge the gaps in our knowledge in the quantitative and qualitative description of the human gastrointestinal microbiota composition.

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          A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics.

          A unified view of polymer, dumbbell, and oligonucleotide nearest-neighbor (NN) thermodynamics is presented. DNA NN DeltaG degrees 37 parameters from seven laboratories are presented in the same format so that careful comparisons can be made. The seven studies used data from natural polymers, synthetic polymers, oligonucleotide dumbbells, and oligonucleotide duplexes to derive NN parameters; used different methods of data analysis; used different salt concentrations; and presented the NN thermodynamics in different formats. As a result of these differences, there has been much confusion regarding the NN thermodynamics of DNA polymers and oligomers. Herein I show that six of the studies are actually in remarkable agreement with one another and explanations are provided in cases where discrepancies remain. Further, a single set of parameters, derived from 108 oligonucleotide duplexes, adequately describes polymer and oligomer thermodynamics. Empirical salt dependencies are also derived for oligonucleotides and polymers.
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            Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing

            Humans host complex microbial communities believed to contribute to health maintenance and, when in imbalance, to the development of diseases. Determining the microbial composition in patients and healthy controls may thus provide novel therapeutic targets. For this purpose, high-throughput, cost-effective methods for microbiota characterization are needed. We have employed 454-pyrosequencing of a hyper-variable region of the 16S rRNA gene in combination with sample-specific barcode sequences which enables parallel in-depth analysis of hundreds of samples with limited sample processing. In silico modeling demonstrated that the method correctly describes microbial communities down to phylotypes below the genus level. Here we applied the technique to analyze microbial communities in throat, stomach and fecal samples. Our results demonstrate the applicability of barcoded pyrosequencing as a high-throughput method for comparative microbial ecology.
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              An Extension of Shapiro and Wilk's W Test for Normality to Large Samples

              J. Royston (1982)
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                Author and article information

                Journal
                Environ Microbiol
                emi
                Environmental Microbiology
                Blackwell Publishing Ltd
                1462-2912
                1462-2920
                July 2009
                : 11
                : 7
                : 1736-1751
                Affiliations
                [1 ]simpleLaboratory of Microbiology, Wageningen University Dreijenplein 10, 6703 HB Wageningen, the Netherlands
                [2 ]simpleNIZO Food Research P.O Box 20, 6710 BA Ede, the Netherlands
                [3 ]simpleValio Ltd, R and D Meijeritie 4, 00370 Helsinki, Finland
                [4 ]simpleDepartment of Basic Veterinary Sciences, University of Helsinki PO Box 66, 00014, Finland
                Author notes
                *For correspondence E-mail mirjana.rajilic@ 123456wur.nl ; Tel. (+31) 317 483742; Fax (+31) 317 483829.
                Article
                10.1111/j.1462-2920.2009.01900.x
                2784037
                19508560
                ce78c8ed-ce79-4dc1-b526-496b75c52719
                Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 31 October 2008
                : 26 January 2009
                Categories
                Research Articles

                Microbiology & Virology
                Microbiology & Virology

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