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      Turning Participatory Microbiome Research into Usable Data: Lessons from the American Gut Project

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          Abstract

          The role of the human microbiome is the subject of continued investigation resulting in increased understanding. However, current microbiome research has only scratched the surface of the variety of healthy microbiomes. Public participation in science through crowdsourcing and crowdfunding microbiome research provides a novel opportunity for both participants and investigators. However, turning participatory science into publishable data can be challenging. Clear communication with the participant base and among researchers can ameliorate some challenges. Three major aspects need to be considered: recruitment and ongoing interaction, sample collection, and data analysis. Usable data can be maximized through diligent participant interaction, careful survey design, and maintaining an open source pipeline. While participatory science will complement rather than replace traditional avenues, it presents new opportunities for studies in the microbiome and beyond.

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          Meta-analyses of human gut microbes associated with obesity and IBD.

          Recent studies have linked human gut microbes to obesity and inflammatory bowel disease, but consistent signals have been difficult to identify. Here we test for indicator taxa and general features of the microbiota that are generally consistent across studies of obesity and of IBD, focusing on studies involving high-throughput sequencing of the 16S rRNA gene (which we could process using a common computational pipeline). We find that IBD has a consistent signature across studies and allows high classification accuracy of IBD from non-IBD subjects, but that although subjects can be classified as lean or obese within each individual study with statistically significant accuracy, consistent with the ability of the microbiota to experimentally transfer this phenotype, signatures of obesity are not consistent between studies even when the data are analyzed with consistent methods. The results suggest that correlations between microbes and clinical conditions with different effect sizes (e.g. the large effect size of IBD versus the small effect size of obesity) may require different cohort selection and analysis strategies.
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            Xenobiotics shape the physiology and gene expression of the active human gut microbiome.

            The human gut contains trillions of microorganisms that influence our health by metabolizing xenobiotics, including host-targeted drugs and antibiotics. Recent efforts have characterized the diversity of this host-associated community, but it remains unclear which microorganisms are active and what perturbations influence this activity. Here, we combine flow cytometry, 16S rRNA gene sequencing, and metatranscriptomics to demonstrate that the gut contains a distinctive set of active microorganisms, primarily Firmicutes. Short-term exposure to a panel of xenobiotics significantly affected the physiology, structure, and gene expression of this active gut microbiome. Xenobiotic-responsive genes were found across multiple bacterial phyla, encoding antibiotic resistance, drug metabolism, and stress response pathways. These results demonstrate the power of moving beyond surveys of microbial diversity to better understand metabolic activity, highlight the unintended consequences of xenobiotics, and suggest that attempts at personalized medicine should consider interindividual variations in the active human gut microbiome. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Microbial endocrinology: the interplay between the microbiota and the endocrine system.

              The new field of microbiome research studies the microbes within multicellular hosts and the many effects of these microbes on the host's health and well-being. We now know that microbes influence metabolism, immunity and even behavior. Essential questions, which are just starting to be answered, are what are the mechanisms by which these bacteria affect specific host characteristics. One important but understudied mechanism appears to involve hormones. Although the precise pathways of microbiota-hormonal signaling have not yet been deciphered, specific changes in hormone levels correlate with the presence of the gut microbiota. The microbiota produces and secretes hormones, responds to host hormones and regulates expression levels of host hormones. Here, we summarize the links between the endocrine system and the gut microbiota. We categorize these interactions by the different functions of the hormones, including those affecting behavior, sexual attraction, appetite and metabolism, gender and immunity. Future research in this area will reveal additional connections, and elucidate the pathways and consequences of bacterial interactions with the host endocrine system.
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                Author and article information

                Journal
                J Microbiol Biol Educ
                J Microbiol Biol Educ
                JMBE
                Journal of Microbiology & Biology Education
                American Society of Microbiology
                1935-7877
                1935-7885
                March 2016
                01 March 2016
                : 17
                : 1
                : 46-50
                Affiliations
                [1 ]Department of Pediatrics, University of California, San Diego, CA 92110
                [2 ]Department of Computer Science and Engineering, University of California, San Diego, CA 92093-0404
                Author notes
                [* ]Corresponding author. Mailing address: 9500 Gilman Drive MC 0763, La Jolla, CA 92093-0763. Phone: 858-822-2379. Fax: 858-246-1981. E-mail: robknight@ 123456ucsd.edu .
                Article
                jmbe-17-46
                10.1128/jmbe.v17i1.1034
                4798814
                27047589
                f330c817-c688-47e0-825e-4cd34a71acc2
                ©2016 Author(s). Published by the American Society for Microbiology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-NoDerivatives 4.0 International license ( https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode), which grants the public the nonexclusive right to copy, distribute, or display the published work.

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                Categories
                Engaging & Training Citizen Scientists in Data Collection

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