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      Altered human gut virome in patients undergoing antibiotics therapy for Helicobacter pylori

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          Abstract

          Transient gut microbiota alterations have been reported after antibiotic therapy for Helicobacter pylori. However, alteration in the gut virome after H. pylori eradication remains uncertain. Here, we apply metagenomic sequencing to fecal samples of 44 H. pylori-infected patients at baseline, 6-week ( N = 44), and 6-month ( N = 33) after treatment. Following H. pylori eradication, we discover contraction of the gut virome diversity, separation of virome community with increased community difference, and shifting towards a higher proportion of core virus. While the gut microbiota is altered at 6-week and restored at 6-month, the virome community shows contraction till 6-month after the treatment with enhanced phage-bacteria interactions at 6-week. Multiple courses of antibiotic treatments further lead to lower virus community diversity when compared with treatment naive patients. Our results demonstrate that H. pylori eradication therapies not only result in transient alteration in gut microbiota but also significantly alter the previously less known gut virome community.

          Abstract

          Here, Wang et al. use metagenomic sequencing to explore the impact of antibiotic treatment for Helicobacter pylori on the gut virome community in infected patients, showing that recurrent treatment leads to a lower virus community diversity and altered virus-bacteria interactions, compared with treatment naive patients.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

            Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data. Results Here we describe a software project, phyloseq, dedicated to the object-oriented representation and analysis of microbiome census data in R. It supports importing data from a variety of common formats, as well as many analysis techniques. These include calibration, filtering, subsetting, agglomeration, multi-table comparisons, diversity analysis, parallelized Fast UniFrac, ordination methods, and production of publication-quality graphics; all in a manner that is easy to document, share, and modify. We show how to apply functions from other R packages to phyloseq-represented data, illustrating the availability of a large number of open source analysis techniques. We discuss the use of phyloseq with tools for reproducible research, a practice common in other fields but still rare in the analysis of highly parallel microbiome census data. We have made available all of the materials necessary to completely reproduce the analysis and figures included in this article, an example of best practices for reproducible research. Conclusions The phyloseq project for R is a new open-source software package, freely available on the web from both GitHub and Bioconductor.
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              BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

              Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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                Author and article information

                Contributors
                waikleung@hku.hk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                17 April 2023
                17 April 2023
                2023
                : 14
                : 2196
                Affiliations
                [1 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Medicine, School of Clinical Medicine, , The University of Hong Kong, ; Hong Kong, China
                [2 ]GRID grid.194645.b, ISNI 0000000121742757, School of Biomedical Science, , The University of Hong Kong, ; Hong Kong, China
                [3 ]Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong, China
                [4 ]GRID grid.194645.b, ISNI 0000000121742757, Centre for PanorOmic Sciences (CPOS), , The University of Hong Kong, Pokfulam, ; Hong Kong, China
                [5 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Pathology, , The University of Hong Kong, Queen Mary Hospital, Pokfulam, ; Hong Kong, China
                [6 ]GRID grid.194645.b, ISNI 0000000121742757, The Jockey Club Centre for Clinical Innovation and Discovery, LKS Faculty of Medicine, , The University of Hong Kong, Pokfulam, ; Hong Kong, China
                Author information
                http://orcid.org/0000-0002-9759-7274
                http://orcid.org/0000-0001-8326-6178
                http://orcid.org/0000-0002-8718-859X
                http://orcid.org/0000-0001-8614-4619
                http://orcid.org/0000-0003-2331-7011
                http://orcid.org/0000-0002-5993-1059
                Article
                37975
                10.1038/s41467-023-37975-y
                10110541
                37069161
                e1d1b9e9-3bf2-475e-b48d-de844f2ce6ed
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 March 2022
                : 4 April 2023
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                stomach diseases,microbial ecology,gastrointestinal diseases
                Uncategorized
                stomach diseases, microbial ecology, gastrointestinal diseases

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