Integrating Next-Generation Sequencing and Traditional Tongue
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Using High Throughput Sequencing to Explore the Biodiversity in Oral Bacterial Communities Patricia I
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by OpenCommons at University of Connecticut University of Connecticut OpenCommons@UConn UCHC Articles - Research University of Connecticut Health Center Research 6-2012 Using High Throughput Sequencing to Explore the Biodiversity in Oral Bacterial Communities Patricia I. Diaz University of Connecticut School of Medicine and Dentistry A. K. Dupuy University of Connecticut - Storrs L. Abusleme University of Connecticut School of Medicine and Dentistry B. Reese University of Connecticut - Storrs C. Obergfell University of Connecticut - Storrs See next page for additional authors Follow this and additional works at: https://opencommons.uconn.edu/uchcres_articles Part of the Life Sciences Commons Recommended Citation Diaz, Patricia I.; Dupuy, A. K.; Abusleme, L.; Reese, B.; Obergfell, C.; Choquette, Linda E.; Dongari-Bagtzoglou, Anna; Peterson, Douglas E.; and Strausbaugh, Linda D., "Using High Throughput Sequencing to Explore the Biodiversity in Oral Bacterial Communities" (2012). UCHC Articles - Research. 209. https://opencommons.uconn.edu/uchcres_articles/209 Authors Patricia I. Diaz, A. K. Dupuy, L. Abusleme, B. Reese, C. Obergfell, Linda E. Choquette, Anna Dongari- Bagtzoglou, Douglas E. Peterson, and Linda D. Strausbaugh This article is available at OpenCommons@UConn: https://opencommons.uconn.edu/uchcres_articles/209 NIH Public Access Author Manuscript Mol Oral Microbiol. Author manuscript; available in PMC 2013 October 03. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mol Oral Microbiol. 2012 June ; 27(3): 182–201. doi:10.1111/j.2041-1014.2012.00642.x. Using high throughput sequencing to explore the biodiversity in oral bacterial communities P.I. -
An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome Data
Wadsworth et al. BMC Bioinformatics (2017) 18:94 DOI 10.1186/s12859-017-1516-0 METHODOLOGY ARTICLE Open Access An integrative Bayesian Dirichlet- multinomial regression model for the analysis of taxonomic abundances in microbiome data W. Duncan Wadsworth1, Raffaele Argiento2, Michele Guindani3, Jessica Galloway-Pena4, Samuel A. Shelburne5 and Marina Vannucci1* Abstract Background: The Human Microbiome has been variously associated with the immune-regulatory mechanisms involved in the prevention or development of many non-infectious human diseases such as autoimmunity, allergy and cancer. Integrative approaches which aim at associating the composition of the human microbiome with other available information, such as clinical covariates and environmental predictors, are paramount to develop a more complete understanding of the role of microbiome in disease development. Results: In this manuscript, we propose a Bayesian Dirichlet-Multinomial regression model which uses spike-and-slab priors for the selection of significant associations between a set of available covariates and taxa from a microbiome abundance table. The approach allows straightforward incorporation of the covariates through a log-linear regression parametrization of the parameters of the Dirichlet-Multinomial likelihood. Inference is conducted through a Markov Chain Monte Carlo algorithm, and selection of the significant covariates is based upon the assessment of posterior probabilities of inclusions and the thresholding of the Bayesian false discovery rate. We design a simulation study to evaluate the performance of the proposed method, and then apply our model on a publicly available dataset obtained from the Human Microbiome Project which associates taxa abundances with KEGG orthology pathways. The method is implemented in specifically developed R code, which has been made publicly available. -
Comparison of Oral Microbiota in Tumor and Non-Tumor Tissues Of
Pushalkar et al. BMC Microbiology 2012, 12:144 http://www.biomedcentral.com/1471-2180/12/144 RESEARCH ARTICLE Open Access Comparison of oral microbiota in tumor and non-tumor tissues of patients with oral squamous cell carcinoma Smruti Pushalkar1, Xiaojie Ji1,2, Yihong Li1, Cherry Estilo3, Ramanathan Yegnanarayana4, Bhuvanesh Singh4, Xin Li1 and Deepak Saxena1* Abstract Background: Bacterial infections have been linked to malignancies due to their ability to induce chronic inflammation. We investigated the association of oral bacteria in oral squamous cell carcinoma (OSCC/tumor) tissues and compared with adjacent non-tumor mucosa sampled 5 cm distant from the same patient (n=10). By using culture-independent 16S rRNA approaches, denaturing gradient gel electrophoresis (DGGE) and cloning and sequencing, we assessed the total bacterial diversity in these clinical samples. Results: DGGE fingerprints showed variations in the band intensity profiles within non-tumor and tumor tissues of the same patient and among the two groups. The clonal analysis indicated that from a total of 1200 sequences characterized, 80 bacterial species/phylotypes were detected representing six phyla, Firmicutes, Bacteroidetes, Proteobacteria, Fusobacteria, Actinobacteria and uncultivated TM7 in non-tumor and tumor libraries. In combined library, 12 classes, 16 order, 26 families and 40 genera were observed. Bacterial species, Streptococcus sp. oral taxon 058, Peptostreptococcus stomatis, Streptococcus salivarius, Streptococcus gordonii, Gemella haemolysans, Gemella morbillorum, Johnsonella ignava and Streptococcus parasanguinis I were highly associated with tumor site where as Granulicatella adiacens was prevalent at non-tumor site. Streptococcus intermedius was present in 70% of both non-tumor and tumor sites. Conclusions: The underlying changes in the bacterial diversity in the oral mucosal tissues from non-tumor and tumor sites of OSCC subjects indicated a shift in bacterial colonization. -
Integrating Taxonomic, Functional, and Strain-Level Profiling of Diverse
TOOLS AND RESOURCES Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3 Francesco Beghini1†, Lauren J McIver2†, Aitor Blanco-Mı´guez1, Leonard Dubois1, Francesco Asnicar1, Sagun Maharjan2,3, Ana Mailyan2,3, Paolo Manghi1, Matthias Scholz4, Andrew Maltez Thomas1, Mireia Valles-Colomer1, George Weingart2,3, Yancong Zhang2,3, Moreno Zolfo1, Curtis Huttenhower2,3*, Eric A Franzosa2,3*, Nicola Segata1,5* 1Department CIBIO, University of Trento, Trento, Italy; 2Harvard T.H. Chan School of Public Health, Boston, United States; 3The Broad Institute of MIT and Harvard, Cambridge, United States; 4Department of Food Quality and Nutrition, Research and Innovation Center, Edmund Mach Foundation, San Michele all’Adige, Italy; 5IEO, European Institute of Oncology IRCCS, Milan, Italy Abstract Culture-independent analyses of microbial communities have progressed dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and *For correspondence: phylogenetic profiling of metagenomes newly developed to build on the largest set of reference [email protected] (CH); sequences now available. Compared to current alternatives, MetaPhlAn 3 increases the accuracy of [email protected] (EAF); taxonomic profiling, and HUMAnN 3 improves that of functional potential and activity. These [email protected] (NS) methods detected novel disease-microbiome links in applications to CRC (1262 metagenomes) and †These authors contributed IBD (1635 metagenomes and 817 metatranscriptomes). -
( 12 ) United States Patent
US009956282B2 (12 ) United States Patent ( 10 ) Patent No. : US 9 ,956 , 282 B2 Cook et al. (45 ) Date of Patent: May 1 , 2018 ( 54 ) BACTERIAL COMPOSITIONS AND (58 ) Field of Classification Search METHODS OF USE THEREOF FOR None TREATMENT OF IMMUNE SYSTEM See application file for complete search history . DISORDERS ( 56 ) References Cited (71 ) Applicant : Seres Therapeutics , Inc. , Cambridge , U . S . PATENT DOCUMENTS MA (US ) 3 ,009 , 864 A 11 / 1961 Gordon - Aldterton et al . 3 , 228 , 838 A 1 / 1966 Rinfret (72 ) Inventors : David N . Cook , Brooklyn , NY (US ) ; 3 ,608 ,030 A 11/ 1971 Grant David Arthur Berry , Brookline, MA 4 ,077 , 227 A 3 / 1978 Larson 4 ,205 , 132 A 5 / 1980 Sandine (US ) ; Geoffrey von Maltzahn , Boston , 4 ,655 , 047 A 4 / 1987 Temple MA (US ) ; Matthew R . Henn , 4 ,689 ,226 A 8 / 1987 Nurmi Somerville , MA (US ) ; Han Zhang , 4 ,839 , 281 A 6 / 1989 Gorbach et al. Oakton , VA (US ); Brian Goodman , 5 , 196 , 205 A 3 / 1993 Borody 5 , 425 , 951 A 6 / 1995 Goodrich Boston , MA (US ) 5 ,436 , 002 A 7 / 1995 Payne 5 ,443 , 826 A 8 / 1995 Borody ( 73 ) Assignee : Seres Therapeutics , Inc. , Cambridge , 5 ,599 ,795 A 2 / 1997 McCann 5 . 648 , 206 A 7 / 1997 Goodrich MA (US ) 5 , 951 , 977 A 9 / 1999 Nisbet et al. 5 , 965 , 128 A 10 / 1999 Doyle et al. ( * ) Notice : Subject to any disclaimer , the term of this 6 ,589 , 771 B1 7 /2003 Marshall patent is extended or adjusted under 35 6 , 645 , 530 B1 . 11 /2003 Borody U . -
From Genotype to Phenotype: Inferring Relationships Between Microbial Traits and Genomic Components
From genotype to phenotype: inferring relationships between microbial traits and genomic components Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakult¨at der Heinrich-Heine-Universit¨atD¨usseldorf vorgelegt von Aaron Weimann aus Oberhausen D¨usseldorf,29.08.16 aus dem Institut f¨urInformatik der Heinrich-Heine-Universit¨atD¨usseldorf Gedruckt mit der Genehmigung der Mathemathisch-Naturwissenschaftlichen Fakult¨atder Heinrich-Heine-Universit¨atD¨usseldorf Referent: Prof. Dr. Alice C. McHardy Koreferent: Prof. Dr. Martin J. Lercher Tag der m¨undlichen Pr¨ufung: 24.02.17 Selbststandigkeitserkl¨ arung¨ Hiermit erkl¨areich, dass ich die vorliegende Dissertation eigenst¨andigund ohne fremde Hilfe angefertig habe. Arbeiten Dritter wurden entsprechend zitiert. Diese Dissertation wurde bisher in dieser oder ¨ahnlicher Form noch bei keiner anderen Institution eingereicht. Ich habe bisher keine erfolglosen Promotionsversuche un- ternommen. D¨usseldorf,den . ... ... ... (Aaron Weimann) Statement of authorship I hereby certify that this dissertation is the result of my own work. No other person's work has been used without due acknowledgement. This dissertation has not been submitted in the same or similar form to other institutions. I have not previously failed a doctoral examination procedure. Summary Bacteria live in almost any imaginable environment, from the most extreme envi- ronments (e.g. in hydrothermal vents) to the bovine and human gastrointestinal tract. By adapting to such diverse environments, they have developed a large arsenal of enzymes involved in a wide variety of biochemical reactions. While some such enzymes support our digestion or can be used for the optimization of biotechnological processes, others may be harmful { e.g. mediating the roles of bacteria in human diseases. -
Type of the Paper (Article
Supplementary Materials S1 Clinical details recorded, Sampling, DNA Extraction of Microbial DNA, 16S rRNA gene sequencing, Bioinformatic pipeline, Quantitative Polymerase Chain Reaction Clinical details recorded In addition to the microbial specimen, the following clinical features were also recorded for each patient: age, gender, infection type (primary or secondary, meaning initial or revision treatment), pain, tenderness to percussion, sinus tract and size of the periapical radiolucency, to determine the correlation between these features and microbial findings (Table 1). Prevalence of all clinical signs and symptoms (except periapical lesion size) were recorded on a binary scale [0 = absent, 1 = present], while the size of the radiolucency was measured in millimetres by two endodontic specialists on two- dimensional periapical radiographs (Planmeca Romexis, Coventry, UK). Sampling After anaesthesia, the tooth to be treated was isolated with a rubber dam (UnoDent, Essex, UK), and field decontamination was carried out before and after access opening, according to an established protocol, and shown to eliminate contaminating DNA (Data not shown). An access cavity was cut with a sterile bur under sterile saline irrigation (0.9% NaCl, Mölnlycke Health Care, Göteborg, Sweden), with contamination control samples taken. Root canal patency was assessed with a sterile K-file (Dentsply-Sirona, Ballaigues, Switzerland). For non-culture-based analysis, clinical samples were collected by inserting two paper points size 15 (Dentsply Sirona, USA) into the root canal. Each paper point was retained in the canal for 1 min with careful agitation, then was transferred to −80ºC storage immediately before further analysis. Cases of secondary endodontic treatment were sampled using the same protocol, with the exception that specimens were collected after removal of the coronal gutta-percha with Gates Glidden drills (Dentsply-Sirona, Switzerland). -
An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome Data
UC Irvine UC Irvine Previously Published Works Title An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. Permalink https://escholarship.org/uc/item/62m7484j Journal BMC bioinformatics, 18(1) ISSN 1471-2105 Authors Wadsworth, W Duncan Argiento, Raffaele Guindani, Michele et al. Publication Date 2017-02-08 DOI 10.1186/s12859-017-1516-0 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Wadsworth et al. BMC Bioinformatics (2017) 18:94 DOI 10.1186/s12859-017-1516-0 METHODOLOGY ARTICLE Open Access An integrative Bayesian Dirichlet- multinomial regression model for the analysis of taxonomic abundances in microbiome data W. Duncan Wadsworth1, Raffaele Argiento2, Michele Guindani3, Jessica Galloway-Pena4, Samuel A. Shelbourne5 and Marina Vannucci1* Abstract Background: The Human Microbiome has been variously associated with the immune-regulatory mechanisms involved in the prevention or development of many non-infectious human diseases such as autoimmunity, allergy and cancer. Integrative approaches which aim at associating the composition of the human microbiome with other available information, such as clinical covariates and environmental predictors, are paramount to develop a more complete understanding of the role of microbiome in disease development. Results: In this manuscript, we propose a Bayesian Dirichlet-Multinomial regression model which uses spike-and-slab priors for the selection of significant associations between a set of available covariates and taxa from a microbiome abundance table. The approach allows straightforward incorporation of the covariates through a log-linear regression parametrization of the parameters of the Dirichlet-Multinomial likelihood. -
The Gut Microbiome in Atherosclerotic Cardiovascular Disease Yangqing Peng Et Al
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2017 The gut microbiome in atherosclerotic cardiovascular disease Yangqing Peng et al Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Peng, Yangqing and et al, ,"The gut microbiome in atherosclerotic cardiovascular disease." Nature Communications.8,. (2017). https://digitalcommons.wustl.edu/open_access_pubs/6294 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. ARTICLE DOI: 10.1038/s41467-017-00900-1 OPEN The gut microbiome in atherosclerotic cardiovascular disease Zhuye Jie1,2,3, Huihua Xia1,2, Shi-Long Zhong4,5, Qiang Feng1,2,6,7,17, Shenghui Li1, Suisha Liang1,2, Huanzi Zhong 1,2,3,7, Zhipeng Liu1,8, Yuan Gao1,2, Hui Zhao1, Dongya Zhang1, Zheng Su1, Zhiwei Fang1, Zhou Lan1, Junhua Li 1,2,3,9, Liang Xiao1,2,6, Jun Li1, Ruijun Li10, Xiaoping Li1,2, Fei Li1,2,8, Huahui Ren1, Yan Huang1, Yangqing Peng1,18, Guanglei Li1, Bo Wen 1,2, Bo Dong1, Ji-Yan Chen4, Qing-Shan Geng4, Zhi-Wei Zhang4, Huanming Yang1,2,11, Jian Wang1,2,11, Jun Wang1,12,19, Xuan Zhang 13, Lise Madsen 1,2,7,14, Susanne Brix 15, Guang Ning16, Xun Xu1,2, Xin Liu 1,2, Yong Hou 1,2, Huijue Jia 1,2,3,12, Kunlun He10 & Karsten Kristiansen1,2,7 The gut microbiota has been linked to cardiovascular diseases. -
Low-Pathogenicity Mycoplasma Spp. Alter Human Monocyte and Macrophage Function and Are Highly Prevalent Among Patients with Ventilator-Acquired Pneumonia
Critical care ORIGINAL ARTICLE Thorax: first published as 10.1136/thoraxjnl-2015-208050 on 12 April 2016. Downloaded from Low-pathogenicity Mycoplasma spp. alter human monocyte and macrophage function and are highly prevalent among patients with ventilator-acquired pneumonia 1 2 3 2 4 5 Open Access T J Nolan, N J Gadsby, T P Hellyer, K E Templeton, R McMullan, J P McKenna, Scan to access more 1 1 1 1 1,6 3 free content J Rennie, C T Robb, T S Walsh, A G Rossi, A Conway Morris, A J Simpson ▸ Additional material is ABSTRACT published online only. To view Background Ventilator-acquired pneumonia (VAP) Key messages this file please visit the journal fi online (http://dx.doi.org/10. remains a signi cant problem within intensive care units 1136/thoraxjnl-2015-208050) (ICUs). There is a growing recognition of the impact of critical-illness-induced immunoparesis on the What is the key question? pathogenesis of VAP, but the mechanisms remain ▸ 1 fl What is the prevalence of Mycoplasmataceae MRC Centre for In ammation incompletely understood. We hypothesised that, because Research, University of among patients with ventilator-acquired Edinburgh, Edinburgh, UK of limitations in their routine detection, pneumonia (VAP), and does this have any 2Clinical Microbiology, NHS Mycoplasmataceae are more prevalent among patients pathophysiological relevance? Lothian, Edinburgh, UK with VAP than previously recognised, and that these 3 Institute of Cellular Medicine, organisms potentially impair immune cell function. What is the bottom line? Newcastle University, Methods and setting 159 patients were recruited from ▸ Patients with VAP have a high prevalence of Newcastle, UK Mycoplasmataceae compared with similar 4Centre for Infection and 12 UK ICUs. -
CGM-18-001 Perseus Report Update Bacterial Taxonomy Final Errata
report Update of the bacterial taxonomy in the classification lists of COGEM July 2018 COGEM Report CGM 2018-04 Patrick L.J. RÜDELSHEIM & Pascale VAN ROOIJ PERSEUS BVBA Ordering information COGEM report No CGM 2018-04 E-mail: [email protected] Phone: +31-30-274 2777 Postal address: Netherlands Commission on Genetic Modification (COGEM), P.O. Box 578, 3720 AN Bilthoven, The Netherlands Internet Download as pdf-file: http://www.cogem.net → publications → research reports When ordering this report (free of charge), please mention title and number. Advisory Committee The authors gratefully acknowledge the members of the Advisory Committee for the valuable discussions and patience. Chair: Prof. dr. J.P.M. van Putten (Chair of the Medical Veterinary subcommittee of COGEM, Utrecht University) Members: Prof. dr. J.E. Degener (Member of the Medical Veterinary subcommittee of COGEM, University Medical Centre Groningen) Prof. dr. ir. J.D. van Elsas (Member of the Agriculture subcommittee of COGEM, University of Groningen) Dr. Lisette van der Knaap (COGEM-secretariat) Astrid Schulting (COGEM-secretariat) Disclaimer This report was commissioned by COGEM. The contents of this publication are the sole responsibility of the authors and may in no way be taken to represent the views of COGEM. Dit rapport is samengesteld in opdracht van de COGEM. De meningen die in het rapport worden weergegeven, zijn die van de auteurs en weerspiegelen niet noodzakelijkerwijs de mening van de COGEM. 2 | 24 Foreword COGEM advises the Dutch government on classifications of bacteria, and publishes listings of pathogenic and non-pathogenic bacteria that are updated regularly. These lists of bacteria originate from 2011, when COGEM petitioned a research project to evaluate the classifications of bacteria in the former GMO regulation and to supplement this list with bacteria that have been classified by other governmental organizations. -
Microbiota-Directed Fibre Activates Both Targeted and Secondary
ARTICLE https://doi.org/10.1038/s41467-020-19585-0 OPEN Microbiota-directed fibre activates both targeted and secondary metabolic shifts in the distal gut ✉ Leszek Michalak 1, John Christian Gaby1 , Leidy Lagos2, Sabina Leanti La Rosa 1, Torgeir R. Hvidsten 1, Catherine Tétard-Jones3, William G. T. Willats3, Nicolas Terrapon 4,5, Vincent Lombard4,5, Bernard Henrissat 4,5,6, Johannes Dröge7, Magnus Øverlie Arntzen 1, Live Heldal Hagen 1, ✉ ✉ Margareth Øverland2, Phillip B. Pope 1,2,8 & Bjørge Westereng 1,8 1234567890():,; Beneficial modulation of the gut microbiome has high-impact implications not only in humans, but also in livestock that sustain our current societal needs. In this context, we have tailored an acetylated galactoglucomannan (AcGGM) fibre to match unique enzymatic capabilities of Roseburia and Faecalibacterium species, both renowned butyrate-producing gut commensals. Here, we test the accuracy of AcGGM within the complex endogenous gut microbiome of pigs, wherein we resolve 355 metagenome-assembled genomes together with quantitative metaproteomes. In AcGGM-fed pigs, both target populations differentially express AcGGM-specific polysaccharide utilization loci, including novel, mannan-specific esterases that are critical to its deconstruction. However, AcGGM-inclusion also manifests a “butterfly effect”, whereby numerous metabolic changes and interdependent cross-feeding pathways occur in neighboring non-mannanolytic populations that produce short-chain fatty acids. Our findings show how intricate structural features and acetylation patterns of dietary fibre can be customized to specific bacterial populations, with potential to create greater modulatory effects at large. 1 Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Ås, Norway.