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      Neonatal gut microbiota associates with childhood multi–sensitized atopy and T–cell differentiation

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          Abstract

          Altered infant human gut microbiome composition and metabolic activity are implicated in childhood atopy and asthma 1 . We hypothesized that compositionally distinct neonatal human gut microbiota exist and are differentially related to relative–risk ( RR) of childhood atopy and asthma. Using stool samples ( n = 298; aged 1–11 months) from a US birth cohort and 16S rRNA sequencing, neonates (median age 35 days) were divisible into three microbiota–composition states (NGM1–3). Each incurred significantly different RR for multi–sensitized atopy at age–two years and doctor–diagnosed asthma at age–four years. The highest risk group, NGM3, showed lower relative abundance of certain bacteria (e.g. Bifidobacterium, Akkermansia and Faecalibacterium), higher relative abundance of particular fungi ( Candida and Rhodotorula), and a distinct fecal metabolome enriched for pro-inflammatory metabolites. Ex vivo culture of adult human peripheral T–cells with sterile fecal water from NGM3 subjects increased the proportion of CD4 + cells producing interleukin–4 and reduced the relative abundance of Foxp3 +CD25 +CD4 + cells. 12,13 DiHOME which discriminated NGM3 from lower–risk NGMs, recapitulated the effect of NGM3 fecal water on Foxp3 +CD25 +CD4 + cell relative abundance. These findings suggest that neonatal gut microbiome dysbiosis drives CD4 + T–cell dysfunction associated with childhood atopy.

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          Most cited references14

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            FLASH: fast length adjustment of short reads to improve genome assemblies.

            Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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              Is Open Access

              EMPeror: a tool for visualizing high-throughput microbial community data

              Background As microbial ecologists take advantage of high-throughput sequencing technologies to describe microbial communities across ever-increasing numbers of samples, new analysis tools are required to relate the distribution of microbes among larger numbers of communities, and to use increasingly rich and standards-compliant metadata to understand the biological factors driving these relationships. In particular, the Earth Microbiome Project drives these needs by profiling the genomic content of tens of thousands of samples across multiple environment types. Findings Features of EMPeror include: ability to visualize gradients and categorical data, visualize different principal coordinates axes, present the data in the form of parallel coordinates, show taxa as well as environmental samples, dynamically adjust the size and transparency of the spheres representing the communities on a per-category basis, dynamically scale the axes according to the fraction of variance each explains, show, hide or recolor points according to arbitrary metadata including that compliant with the MIxS family of standards developed by the Genomic Standards Consortium, display jackknifed-resampled data to assess statistical confidence in clustering, perform coordinate comparisons (useful for procrustes analysis plots), and greatly reduce loading times and overall memory footprint compared with existing approaches. Additionally, ease of sharing, given EMPeror’s small output file size, enables agile collaboration by allowing users to embed these visualizations via emails or web pages without the need for extra plugins. Conclusions Here we present EMPeror, an open source and web browser enabled tool with a versatile command line interface that allows researchers to perform rapid exploratory investigations of 3D visualizations of microbial community data, such as the widely used principal coordinates plots. EMPeror includes a rich set of controllers to modify features as a function of the metadata. By being specifically tailored to the requirements of microbial ecologists, EMPeror thus increases the speed with which insight can be gained from large microbiome datasets.
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                Author and article information

                Journal
                9502015
                8791
                Nat Med
                Nat. Med.
                Nature medicine
                1078-8956
                1546-170X
                4 August 2016
                12 September 2016
                October 2016
                12 March 2017
                : 22
                : 10
                : 1187-1191
                Affiliations
                [1 ]Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
                [2 ]Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA
                [3 ]Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
                [4 ]Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
                [5 ]Section of Allergy–Immunology, Augusta University, Augusta, Georgia, USA
                [6 ]Department of Internal Medicine, Division of Allergy and Immunology, Henry Ford Health System, Detroit, Michigan, USA
                Author notes
                Corresponding authors: Susan V. Lynch, susan.lynch@ 123456ucsf.edu . Christine C. Johnson, cjohnso1@ 123456hfhs.org
                [*]

                These authors share co–senior authorship for this work

                Article
                NIHMS807184
                10.1038/nm.4176
                5053876
                27618652
                e5dfc16a-6366-405f-acbc-5b04b05441db

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