33
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Environmental microbiome in the home and daycare settings during the COVID‐19 pandemic, and potential risk of non‐communicable disease in children

      brief-report

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Home dust samples contained higher microbial diversity with human‐associated taxa being prevalent than daycare samples where environmental taxa were more common. Several taxa detected in both the environments are known to induce immune responses, potentially conferring protection from various non‐communicable and infectious diseases among children.

          Abstract

          An exposure to diverse microbial population early in life is important for the development of immunity against various non‐communicable diseases including asthma, childhood leukaemia and other cancers. Social mixing in daycare settings helps with exposure to a variety of microbes. However, social isolation and a high emphasis on workplace hygiene during the COVID pandemic may have affected children's exposure to diverse microbiota. The structure of microbial communities and their role in developing immunity to various diseases are not well understood. In this study, we investigated the structure of microbial communities in daycare and home settings during the pandemic. Interestingly, microbial diversity was relatively higher in dust samples collected from homes, with human‐associated taxa being more prevalent compared to those from daycare settings. Environmental microbes were more abundant in dust samples from daycare providers. These results potentially suggest that cleaning practices during the pandemic may have influenced the diversity and microbial abundance of the daycare samples. Several bacterial taxa detected in both the environments are known to induce anti‐inflammatory and immunomodulatory responses, conferring protection from various diseases. Therefore, exposure to diverse microbial population in early childhood may play an important role in developing immunity against various non‐communicable and infectious diseases.

          Related collections

          Most cited references70

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            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.
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Welcome to the Tidyverse

                Author and article information

                Contributors
                vartul.sangal@northumbria.ac.uk
                Journal
                Environ Microbiol Rep
                Environ Microbiol Rep
                10.1111/(ISSN)1758-2229
                EMI4
                Environmental Microbiology Reports
                John Wiley & Sons, Inc. (Hoboken, USA )
                1758-2229
                12 January 2024
                February 2024
                : 16
                : 1 ( doiID: 10.1111/emi4.v16.1 )
                : e13233
                Affiliations
                [ 1 ] Faculty of Health and Life Sciences Northumbria University Newcastle upon Tyne UK
                [ 2 ] Faculty of Environment and Engineering Northumbria University Newcastle upon Tyne UK
                Author notes
                [*] [* ] Correspondence

                Vartul Sangal, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.

                Email: vartul.sangal@ 123456northumbria.ac.uk

                Author information
                https://orcid.org/0000-0002-7405-8446
                Article
                EMI413233
                10.1111/1758-2229.13233
                10866607
                38217304
                674cfa02-f4dc-49ea-8b60-5ddc7141833d
                © 2024 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 September 2023
                : 27 December 2023
                Page count
                Figures: 6, Tables: 2, Pages: 11, Words: 7633
                Funding
                Funded by: Northumbria University , doi 10.13039/100010052;
                Categories
                Brief Report
                Brief Reports
                Custom metadata
                2.0
                February 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.8 mode:remove_FC converted:14.02.2024

                Microbiology & Virology
                Microbiology & Virology

                Comments

                Comment on this article

                Related Documents Log