9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Gut microbiota Turicibacter strains differentially modify bile acids and host lipids

      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

          Bacteria from the Turicibacter genus are prominent members of the mammalian gut microbiota and correlate with alterations in dietary fat and body weight, but the specific connections between these symbionts and host physiology are poorly understood. To address this knowledge gap, we characterize a diverse set of mouse- and human-derived Turicibacter isolates, and find they group into clades that differ in their transformations of specific bile acids. We identify Turicibacter bile salt hydrolases that confer strain-specific differences in bile deconjugation. Using male and female gnotobiotic mice, we find colonization with individual Turicibacter strains leads to changes in host bile acid profiles, generally aligning with those produced in vitro. Further, colonizing mice with another bacterium exogenously expressing bile-modifying genes from Turicibacter strains decreases serum cholesterol, triglycerides, and adipose tissue mass. This identifies genes that enable Turicibacter strains to modify host bile acids and lipid metabolism, and positions Turicibacter bacteria as modulators of host fat biology.

          Abstract

          Mechanisms by which the gut microbiota affects its host are a main research focus. Here, Lynch et al. characterize bile acid modifications performed by a prevalent bacterial taxon from the gut, the genus Turicibacter, and found they broadly altered host lipids, connecting Turicibacter functions and host physiology.

          Related collections

          Most cited references84

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

          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

            S Altschul (1997)
            The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An obesity-associated gut microbiome with increased capacity for energy harvest.

              The worldwide obesity epidemic is stimulating efforts to identify host and environmental factors that affect energy balance. Comparisons of the distal gut microbiota of genetically obese mice and their lean littermates, as well as those of obese and lean human volunteers have revealed that obesity is associated with changes in the relative abundance of the two dominant bacterial divisions, the Bacteroidetes and the Firmicutes. Here we demonstrate through metagenomic and biochemical analyses that these changes affect the metabolic potential of the mouse gut microbiota. Our results indicate that the obese microbiome has an increased capacity to harvest energy from the diet. Furthermore, this trait is transmissible: colonization of germ-free mice with an 'obese microbiota' results in a significantly greater increase in total body fat than colonization with a 'lean microbiota'. These results identify the gut microbiota as an additional contributing factor to the pathophysiology of obesity.
                Bookmark

                Author and article information

                Contributors
                jlynch48@jhmi.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                20 June 2023
                20 June 2023
                2023
                : 14
                : 3669
                Affiliations
                [1 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Integrative Biology & Physiology, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [2 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Psychiatry and Biobehavioral Sciences, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [3 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Jane and Terry Semel Institute for Neuroscience and Human Behavior, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [4 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Pasarow Mass Spectrometry Laboratory, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [5 ]Isolation Bio, San Carlos, CA 94070 USA
                [6 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Present Address: Department of Biological Chemistry, , Johns Hopkins University School of Medicine, ; Baltimore, MD 21205 USA
                Author information
                http://orcid.org/0000-0001-5221-7090
                http://orcid.org/0000-0002-1633-588X
                Article
                39403
                10.1038/s41467-023-39403-7
                10281990
                37339963
                027e86be-d5b8-4984-8713-6cd2f756495e
                © 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
                : 28 March 2023
                : 7 June 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000010, Ford Foundation;
                Funded by: FundRef https://doi.org/10.13039/100000008, David and Lucile Packard Foundation (David & Lucile Packard Foundation);
                Funded by: FundRef https://doi.org/10.13039/100003194, New York Stem Cell Foundation (NYSCF);
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                microbiome,fat metabolism,bacteriology
                Uncategorized
                microbiome, fat metabolism, bacteriology

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content142

                Cited by49

                Most referenced authors1,410