4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Preliminary characterization of gut mycobiome enterotypes reveals the correlation trends between host metabolic parameter and diet: a case study in the Thai Cohort

      research-article

      Read this article at

      Bookmark
          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

          The association between the gut mycobiome and its potential influence on host metabolism in the Thai Cohort was assessed. Two distinct predominant enterotypes, Saccharomyces (Sa) and Aspergillus/ Penicillium (Ap/Pe) showed differences in gut mycobiota diversity and composition. Notably, the Sa enterotype exhibited lower evenness and richness, likely due to the prevalence of Saccharomyces, while both enterotypes displayed unique metabolic behaviors related to nutrient metabolism and body composition. Fiber consumption was positively correlated with adverse body composition and fasting glucose levels in individuals with the Sa enterotype, whereas in the Ap/Pe enterotype it was positively correlated with fat and protein intake. The metabolic functional analysis revealed the Sa enterotype associated with carbohydrate metabolism, while the Ap/Pe enterotype involved in lipid metabolism. Very interestingly, the genes involved in the pentose and glucuronate interconversion pathway, such as polygalacturonase and l-arabinose-isomerase, were enriched in the Sa enterotype signifying a metabolic capacity for complex carbohydrate degradation and utilization of less common sugars as energy sources. These findings highlight the interplay between gut mycobiome composition, dietary habits, and metabolic outcomes within the Thai cohort studies.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: not found

          KEGG: kyoto encyclopedia of genes and genomes.

          M Kanehisa (2000)
          KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Search and clustering orders of magnitude faster than BLAST.

              Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
                Bookmark

                Author and article information

                Contributors
                fagimln@ku.ac.th
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 March 2024
                9 March 2024
                2024
                : 14
                : 5805
                Affiliations
                [1 ]Department of Biotechnology, Faculty of Agro-Industry, Kasetsart University, ( https://ror.org/05gzceg21) Bangkok, 10900 Thailand
                [2 ]Specialized Research Unit: Probiotics and Prebiotics for Health, Faculty of Agro-Industry, Kasetsart University, ( https://ror.org/05gzceg21) Bangkok, 10900 Thailand
                [3 ]Specialized Research Unit: Functional Food and Human Health Laboratory, Faculty of Agro-Industry, Kasetsart University, ( https://ror.org/05gzceg21) Bangkok, 10900 Thailand
                [4 ]Department of Sports and Health Sciences, Faculty of Sport Science, Kasetsart University, ( https://ror.org/05gzceg21) Kamphaeng Saen Campus, Nakhon Pathom, 73140 Thailand
                [5 ]Department of Zoology, Faculty of Science, Kasetsart University, ( https://ror.org/05gzceg21) Bangkok, 10900 Thailand
                [6 ]Omics Center for Agriculture, Bioresources, Food, and Health, Kasetsart University (OmiKU), ( https://ror.org/05gzceg21) Bangkok, 10900 Thailand
                Article
                56585
                10.1038/s41598-024-56585-2
                10924899
                38461361
                1780854a-3f46-41ba-86b4-09f875996f84
                © The Author(s) 2024

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 October 2023
                : 8 March 2024
                Funding
                Funded by: Kasetsart University through the Graduate School Fellowship Program
                Funded by: Agro-Industrial Scholarship for International Students, Kasetsart University
                Funded by: Kasetsart University Research and Development Institute (KURDI) under Project "Gut Microbiota Modulation and Its Relationship with Obesity Using Prebiotics and Probiotics"
                Award ID: (FF (KU)13.65)
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                microbiome,fungi,metagenomics
                Uncategorized
                microbiome, fungi, metagenomics

                Comments

                Comment on this article