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      A neurotransmitter produced by gut bacteria modulates host sensory behaviour

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          Abstract

          Animals coexist in commensal, pathogenic or mutualistic relationships with complex communities of diverse organisms including microbes 1 . Some bacteria produce bioactive neurotransmitters which have been proposed to modulate host nervous system activity and behaviors 2, 3 . However, the mechanistic basis of this microbiota-brain signaling and its physiological relevance is largely unknown. Here we show that in C. elegans, the neuromodulator tyramine produced by gut-colonizing commensal Providencia bacteria bypasses the requirement for host tyramine biosynthesis to manipulate a host sensory decision. Bacterially-produced tyramine is likely converted to octopamine by the host tyramine β-hydroxylase enzyme. Octopamine in turn targets the OCTR-1 octopamine receptor on the ASH nociceptive neurons to modulate an aversive olfactory response. We identify genes required for tyramine biosynthesis in Providencia, and show that these genes are necessary for modulation of host behavior. We further find that C. elegans colonized by Providencia preferentially select these bacteria in food choice assays, and that this selection bias requires bacterially produced tyramine and host octopamine signaling. Our results demonstrate that a neurotransmitter produced by gut microbiota mimics the functions of the cognate host molecule to override host control of a sensory decision, thereby promoting fitness of both host and microbe.

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          Most cited references81

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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              lmerTest Package: Tests in Linear Mixed Effects Models

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                3 April 2020
                17 June 2020
                July 2020
                02 February 2021
                : 583
                : 7816
                : 415-420
                Affiliations
                [1 ]Department of Biology, Brandeis University, Waltham, MA 02454
                [2 ]Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853
                Author notes

                Author Contributions

                M.P.O, B.W.F, F.C.S and P.S. designed experiments, interpreted results and wrote the paper with input from all authors. M.P.O and P.H.C conducted long-range chemotaxis behavioral experiments and analyzed results. B.W.F conducted HPLC-MS experiments and analyzed results. M.P.O. conducted and analyzed results from all additional experiments.

                [3 ]Correspondence and requests for materials should be addressed to M.P.O. mikeod38@ 123456gmail.com or P.S. sengupta@ 123456brandeis.edu .
                Article
                NIHMS1580175
                10.1038/s41586-020-2395-5
                7853625
                32555456
                f2f50d79-3e6c-4c6f-8026-ca1739224150

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