Type VI Secretion Systems of Human Gut Bacteroidales Segregate Into Three Genetic Architectures, Two of Which Are Contained on Mobile Genetic Elements Michael J
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Macellibacteroides Fermentans Gen. Nov., Sp. Nov., a Member of the Family Porphyromonadaceae Isolated from an Upflow Anaerobic Filter Treating Abattoir Wastewaters
International Journal of Systematic and Evolutionary Microbiology (2012), 62, 2522–2527 DOI 10.1099/ijs.0.032508-0 Macellibacteroides fermentans gen. nov., sp. nov., a member of the family Porphyromonadaceae isolated from an upflow anaerobic filter treating abattoir wastewaters Linda Jabari,1,2 Hana Gannoun,2 Jean-Luc Cayol,1 Abdeljabbar Hedi,1 Mitsuo Sakamoto,3 Enevold Falsen,4 Moriya Ohkuma,3 Moktar Hamdi,2 Guy Fauque,1 Bernard Ollivier1 and Marie-Laure Fardeau1 Correspondence 1Aix-Marseille Universite´ du Sud Toulon-Var, CNRS/INSU, IRD, MIO, UM 110, Case 925, Marie-Laure Fardeau 163 Avenue de Luminy, 13288 Marseille Cedex 9, France [email protected] 2Laboratoire d’Ecologie et de Technologie Microbienne, Institut National des Sciences Applique´es et de Technologie, Centre Urbain Nord, BP 676, 1080 Tunis Cedex, Tunisia 3Microbe Division/Japan Collection of Microorganisms, RIKEN BioResource Center 2-1 Hirosawa, Wako, Saitama 351-0198, Japan 4CCUG, Culture Collection, Department of Clinical Bacteriology, University of Go¨teborg, 41346 Go¨teborg, Sweden A novel obligately anaerobic, non-spore-forming, rod-shaped mesophilic bacterium, which stained Gram-positive but showed the typical cell wall structure of Gram-negative bacteria, was isolated from an upflow anaerobic filter treating abattoir wastewaters in Tunisia. The strain, designated LIND7HT, grew at 20–45 6C (optimum 35–40 6C) and at pH 5.0–8.5 (optimum pH 6.5–7.5). It did not require NaCl for growth, but was able to grow in the presence of up to 2 % NaCl. Sulfate, thiosulfate, elemental sulfur, sulfite, nitrate and nitrite were not used as terminal electron acceptors. -
Supporting Information
Supporting Information Lozupone et al. 10.1073/pnas.0807339105 SI Methods nococcus, and Eubacterium grouped with members of other Determining the Environmental Distribution of Sequenced Genomes. named genera with high bootstrap support (Fig. 1A). One To obtain information on the lifestyle of the isolate and its reported member of the Bacteroidetes (Bacteroides capillosus) source, we looked at descriptive information from NCBI grouped firmly within the Firmicutes. This taxonomic error was (www.ncbi.nlm.nih.gov/genomes/lproks.cgi) and other related not surprising because gut isolates have often been classified as publications. We also determined which 16S rRNA-based envi- Bacteroides based on an obligate anaerobe, Gram-negative, ronmental surveys of microbial assemblages deposited near- nonsporulating phenotype alone (6, 7). A more recent 16S identical sequences in GenBank. We first downloaded the gbenv rRNA-based analysis of the genus Clostridium defined phylo- files from the NCBI ftp site on December 31, 2007, and used genetically related clusters (4, 5), and these designations were them to create a BLAST database. These files contain GenBank supported in our phylogenetic analysis of the Clostridium species in the HGMI pipeline. We thus designated these Clostridium records for the ENV database, a component of the nonredun- species, along with the species from other named genera that dant nucleotide database (nt) where 16S rRNA environmental cluster with them in bootstrap supported nodes, as being within survey data are deposited. GenBank records for hits with Ͼ98% these clusters. sequence identity over 400 bp to the 16S rRNA sequence of each of the 67 genomes were parsed to get a list of study titles Annotation of GTs and GHs. -
WO 2018/064165 A2 (.Pdf)
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2018/064165 A2 05 April 2018 (05.04.2018) W !P O PCT (51) International Patent Classification: Published: A61K 35/74 (20 15.0 1) C12N 1/21 (2006 .01) — without international search report and to be republished (21) International Application Number: upon receipt of that report (Rule 48.2(g)) PCT/US2017/053717 — with sequence listing part of description (Rule 5.2(a)) (22) International Filing Date: 27 September 2017 (27.09.2017) (25) Filing Language: English (26) Publication Langi English (30) Priority Data: 62/400,372 27 September 2016 (27.09.2016) US 62/508,885 19 May 2017 (19.05.2017) US 62/557,566 12 September 2017 (12.09.2017) US (71) Applicant: BOARD OF REGENTS, THE UNIVERSI¬ TY OF TEXAS SYSTEM [US/US]; 210 West 7th St., Austin, TX 78701 (US). (72) Inventors: WARGO, Jennifer; 1814 Bissonnet St., Hous ton, TX 77005 (US). GOPALAKRISHNAN, Vanch- eswaran; 7900 Cambridge, Apt. 10-lb, Houston, TX 77054 (US). (74) Agent: BYRD, Marshall, P.; Parker Highlander PLLC, 1120 S. Capital Of Texas Highway, Bldg. One, Suite 200, Austin, TX 78746 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Description of Gabonibacter Massiliensis Gen. Nov., Sp. Nov., a New Member of the Family Porphyromonadaceae Isolated from the Human Gut Microbiota
Curr Microbiol DOI 10.1007/s00284-016-1137-2 Description of Gabonibacter massiliensis gen. nov., sp. nov., a New Member of the Family Porphyromonadaceae Isolated from the Human Gut Microbiota 1,2 1 3,4 Gae¨l Mourembou • Jaishriram Rathored • Jean Bernard Lekana-Douki • 5 1 1 Ange´lique Ndjoyi-Mbiguino • Saber Khelaifia • Catherine Robert • 1 1,6 1 Nicholas Armstrong • Didier Raoult • Pierre-Edouard Fournier Received: 9 June 2016 / Accepted: 8 September 2016 Ó Springer Science+Business Media New York 2016 Abstract The identification of human-associated bacteria Gabonibacter gen. nov. and the new species G. mas- is very important to control infectious diseases. In recent siliensis gen. nov., sp. nov. years, we diversified culture conditions in a strategy named culturomics, and isolated more than 100 new bacterial Keywords Gabonibacter massiliensis Á Taxonogenomics Á species and/or genera. Using this strategy, strain GM7, a Culturomics Á Gabon Á Gut microbiota strictly anaerobic gram-negative bacterium was recently isolated from a stool specimen of a healthy Gabonese Abbreviations patient. It is a motile coccobacillus without catalase and CSUR Collection de Souches de l’Unite´ des oxidase activities. The genome of Gabonibacter mas- Rickettsies siliensis is 3,397,022 bp long with 2880 ORFs and a G?C DSM Deutsche Sammlung von content of 42.09 %. Of the predicted genes, 2,819 are Mikroorganismen protein-coding genes, and 61 are RNAs. Strain GM7 differs MALDI-TOF Matrix-assisted laser desorption/ from the closest genera within the family Porphyromon- MS ionization time-of-flight mass adaceae both genotypically and in shape and motility. -
Bacteroides Gingivalis, and Bacteroides Endodontalis in a New Genus, Porphyromonas H
INTERNATIONALJOURNAL OF SYSTEMATICBACTERIOLOGY, Jan. 1988, p. 128-131 Vol. 38, No. 1 0020-7713/88/010128-04$02.00/0 Copyright 0 1988, International Union of Microbiological Societies Proposal for Reclassification of Bacteroides asaccharolyticus , Bacteroides gingivalis, and Bacteroides endodontalis in a New Genus, Porphyromonas H. N. SHAH1* AND M. D. COLLINS’ Department of Oral Microbiology, London Hospital Medical College, London El 2AD,l and Division of Microbiology, AFRC Institute of Food Research, Shinfeld, Reading RG2 9AT,= United Kingdom The asaccharolytic, pigmented Bacteroides, Bacteroides asaccharolyticus, Bacteroides gingivalis, and Bacte- roides endodontalis, form a group of relatively homogeneous species which differ markedly in biochemical and chemical properties from the type species of Bacteroides, Bacteroides fragilis (Castellani and Chalmers), such that they should not be retained within this genus. Therefore, we propose that Bacteroides asaccharolyticus (Holdeman and Moore) Finegold and Barnes, Bacteroides gingivalis Coykendhll, Kaczmarek and Slots, and Bacteroides endodontalis van Steenbergen, van Winkelhoff, Mayrand, Grenier and de Graaff be reclassified in a new genus, Porphyromonas, as Porphyromonas asaccharolytica comb. nov., Porphyromonas gingivalis comb. nov., and Porphyromonas endodontalis comb. nov., respectively. In Bergey ’s Manual of Determinative Bacteriology, 8th quite unrelated to the type species of the genus Bacteroides, ed. (12), the asaccharolytic, pigmented Bacteroides were Bacteroides fragilis. All of the asaccharolytic, pigmented regarded as a single homogeneous taxon, Bacteroides mela- bacteroides accumulate major levels of protoheme rather ninogenicus subsp. asaccharolyticus. As the clinical signif- than protoporphyrin when cells are cultured on blood agar icance of these microorganisms in oral cavities was recog- (3,25, 27). The three species are nonfermentative and utilize nized, extensive taxonomic studies were carried out. -
Intestinal Virome Changes Precede Autoimmunity in Type I Diabetes-Susceptible Children,” by Guoyan Zhao, Tommi Vatanen, Lindsay Droit, Arnold Park, Aleksandar D
Correction MEDICAL SCIENCES Correction for “Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children,” by Guoyan Zhao, Tommi Vatanen, Lindsay Droit, Arnold Park, Aleksandar D. Kostic, Tiffany W. Poon, Hera Vlamakis, Heli Siljander, Taina Härkönen, Anu-Maaria Hämäläinen, Aleksandr Peet, Vallo Tillmann, Jorma Ilonen, David Wang, Mikael Knip, Ramnik J. Xavier, and Herbert W. Virgin, which was first published July 10, 2017; 10.1073/pnas.1706359114 (Proc Natl Acad Sci USA 114: E6166–E6175). The authors wish to note the following: “After publication, we discovered that certain patient-related information in the spreadsheets placed online had information that could conceiv- ably be used to identify, or at least narrow down, the identity of children whose fecal samples were studied. The article has been updated online to remove these potential privacy concerns. These changes do not alter the conclusions of the paper.” Published under the PNAS license. Published online November 19, 2018. www.pnas.org/cgi/doi/10.1073/pnas.1817913115 E11426 | PNAS | November 27, 2018 | vol. 115 | no. 48 www.pnas.org Downloaded by guest on September 26, 2021 Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children Guoyan Zhaoa,1, Tommi Vatanenb,c, Lindsay Droita, Arnold Parka, Aleksandar D. Kosticb,2, Tiffany W. Poonb, Hera Vlamakisb, Heli Siljanderd,e, Taina Härkönend,e, Anu-Maaria Hämäläinenf, Aleksandr Peetg,h, Vallo Tillmanng,h, Jorma Iloneni, David Wanga,j, Mikael Knipd,e,k,l, Ramnik J. Xavierb,m, and -
The Impact of Sequence Database Choice on Metaproteomic Results in Gut Microbiota Studies
Tanca et al. Microbiome (2016) 4:51 DOI 10.1186/s40168-016-0196-8 RESEARCH Open Access The impact of sequence database choice on metaproteomic results in gut microbiota studies Alessandro Tanca1, Antonio Palomba1, Cristina Fraumene1, Daniela Pagnozzi1, Valeria Manghina2, Massimo Deligios2, Thilo Muth3,4, Erdmann Rapp3, Lennart Martens5,6,7, Maria Filippa Addis1 and Sergio Uzzau1,2* Abstract Background: Elucidating the role of gut microbiota in physiological and pathological processes has recently emerged as a key research aim in life sciences. In this respect, metaproteomics, the study of the whole protein complement of a microbial community, can provide a unique contribution by revealing which functions are actually being expressed by specific microbial taxa. However, its wide application to gut microbiota research has been hindered by challenges in data analysis, especially related to the choice of the proper sequence databases for protein identification. Results: Here, we present a systematic investigation of variables concerning database construction and annotation and evaluate their impact on human and mouse gut metaproteomic results. We found that both publicly available and experimental metagenomic databases lead to the identification of unique peptide assortments, suggesting parallel database searches as a mean to gain more complete information. In particular, the contribution of experimental metagenomic databases was revealed to be mandatory when dealing with mouse samples. Moreover, the use of a “merged” database, containing all metagenomic sequences from the population under study, was found to be generally preferable over the use of sample-matched databases. We also observed that taxonomic and functional results are strongly database-dependent, in particular when analyzing the mouse gut microbiota. -
Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients
microorganisms Article Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients Nessrine Souai 1,2 , Oumaima Zidi 1,2 , Amor Mosbah 1, Imen Kosai 3, Jameleddine El Manaa 3, Naima Bel Mokhtar 4, Elias Asimakis 4 , Panagiota Stathopoulou 4 , Ameur Cherif 1 , George Tsiamis 4 and Soumaya Kouidhi 1,* 1 Laboratory of Biotechnology and Valorisation of Bio-GeoRessources, Higher Institute of Biotechnology of Sidi Thabet, BiotechPole of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia; [email protected] (N.S.); [email protected] (O.Z.); [email protected] (A.M.); [email protected] (A.C.) 2 Department of Biology, Faculty of Sciences of Tunis, University of Tunis El Manar, Farhat Hachad Universitary Campus, Rommana 1068, Tunis, Tunisia 3 Unit of Organ Transplant Military Training Hospital, Mont Fleury 1008, Tunis, Tunisia; [email protected] (I.K.); [email protected] (J.E.M.) 4 Laboratory of Systems Microbiology and Applied Genomics, Department of Environmental Engineering, University of Patras, 2 Seferi St, 30100 Agrinio, Greece; [email protected] (N.B.M.); [email protected] (E.A.); [email protected] (P.S.); [email protected] (G.T.) * Correspondence: [email protected]; Tel.: +216-95-694-135 Received: 8 September 2020; Accepted: 30 October 2020; Published: 4 November 2020 Abstract: Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. -
GI Ecologix™ Gastrointestinal Health & Microbiome Profile Phylo Bioscience Laboratory
INTERPRETIVE GUIDE GI EcologiX™ Gastrointestinal Health & Microbiome Profile Phylo Bioscience Laboratory DISCLAIMER: THIS INFORMATION IS PROVIDED FOR THE USE OF PHYSICIANS AND OTHER LICENSED HEALTH CARE PRACTITIONERS ONLY. THIS INFORMATION IS NOT FOR USE BY CONSUMERS. THE INFORMATION AND OR PRODUCTS ARE NOT INTENDED FOR USE BY CONSUMERS OR PHYSICIANS AS A MEANS TO CURE, TREAT, PREVENT, DIAGNOSE OR MITIGATE ANY DISEASE OR OTHER MEDICAL CONDITION. THE INFORMATION CONTAINED IN THIS DOCUMENT IS IN NO WAY TO BE TAKEN AS PRESCRIPTIVE NOR TO REPLACE THE PHYSICIANS DUTY OF CARE AND PERSONALISED CARE PRACTICES. INTRODUCTION Due to recent advancements in culture-independent molecular techniques, it is now possible to measure the composition of the human microbiota. Billions of microorganisms colonise the gastrointestinal tract, which extends from the stomach to the rectum. The presence and activity of these microorganisms is fundamental for the homeostasis of the organism. They play a key role in the development of the immune system, digestion of fibres, production of energy metabolites, vitamins and neurotransmitters and in the defence against pathogen colonisation. The disruption of these microbial communities, defined as dysbiotic profiles, has been associated with several diseases including metabolic syndrome, systemic inflammation, autoimmune and mental health conditions. Monitoring the gut microbiota is fundamental to obtain a holistic view of host current health and predict future health trajectories. The obtained information can be used to tailor specific interventions and to informatively adjust personal lifestyle choices in order to promote health. To this end, Phylobioscience have developed the GI EcologiX™ Gastrointestinal Health and Microbiome Profile, a ground-breaking tool for analysis of gastrointestinal microbiota composition and host immune responses. -
Towards a Functional Hypothesis Relating Anti-Islet Cell Autoimmunity
Endesfelder et al. Microbiome (2016) 4:17 DOI 10.1186/s40168-016-0163-4 RESEARCH Open Access Towards a functional hypothesis relating anti-islet cell autoimmunity to the dietary impact on microbial communities and butyrate production David Endesfelder1, Marion Engel1, Austin G. Davis-Richardson2, Alexandria N. Ardissone2, Peter Achenbach3, Sandra Hummel3, Christiane Winkler3, Mark Atkinson4, Desmond Schatz4, Eric Triplett2, Anette-Gabriele Ziegler3 and Wolfgang zu Castell1,5* Abstract Background: The development of anti-islet cell autoimmunity precedes clinical type 1 diabetes and occurs very early in life. During this early period, dietary factors strongly impact on the composition of the gut microbiome. At the same time, the gut microbiome plays a central role in the development of the infant immune system. A functional model of the association between diet, microbial communities, and the development of anti-islet cell autoimmunity can provide important new insights regarding the role of the gut microbiome in the pathogenesis of type 1 diabetes. Results: A novel approach was developed to enable the analysis of the microbiome on an aggregation level between a single microbial taxon and classical ecological measures analyzing the whole microbial population. Microbial co-occurrence networks were estimated at age 6 months to identify candidates for functional microbial communities prior to islet autoantibody development. Stratification of children based on these communities revealed functional associations between diet, gut microbiome, and islet autoantibody development. Two communities were strongly associated with breast-feeding and solid food introduction, respectively. The third community revealed a subgroup of children that was dominated by Bacteroides abundances compared to two subgroups with low Bacteroides and increased Akkermansia abundances. -
Electronic Supplementary Material (ESI) for Molecular Biosystems
Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is © The Royal Society of Chemistry 2017 Applications to GI microbiome data 1. GI microbime data preparation We applied the newly defined LemonTree parameters recommendation on the GI microbiome data set from (Scher et al., 2013). The representative sequences for each OTU and the OTU abundance table -with reads counts down to the genus classification- were downloaded from https://github.com/polyatail/scher_et_al_2013/tree/master/16S_Analysis. The raw sequencing data were summarized at the genus level, with a taxonomy from phylum to genus to well annotate the unclassified genera, and TMM normalized (Robinson and Oshlack, 2010). The abundance was further filtered by eliminating low abundance (average counts < 1) and low variance (SD < 0.5) microbes. The differential microbes were identified with LIMMA differential analysis, with the following criteria: i) summed abundance > 5; ii) expressed in at least 3 samples; iii) p-value < 0.05 and FC > 2. Finally, the expressions of the regulated and candidate regulator microbes were normalized to be zero centered with SD = 1. The taxonomical annotation can be found in Data S2, Sheet 1. The raw and TMM normalized counts are in Data S2, Sheet 2-3. 2. Clinical parameters analyses The clinical parameters are in Data S2, Sheet 4. 2.1 Association of the clinical parameters with the left/right branches Table S3-1. Fisher’s exact test and t-test for the categorical and quantitative clinical parameters. left vs right (all MTX, left -
Human Microbiota Reveals Novel Taxa and Extensive Sporulation Hilary P
OPEN LETTER doi:10.1038/nature17645 Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive sporulation Hilary P. Browne1*, Samuel C. Forster1,2,3*, Blessing O. Anonye1, Nitin Kumar1, B. Anne Neville1, Mark D. Stares1, David Goulding4 & Trevor D. Lawley1 Our intestinal microbiota harbours a diverse bacterial community original faecal sample and the cultured bacterial community shared required for our health, sustenance and wellbeing1,2. Intestinal an average of 93% of raw reads across the six donors. This overlap was colonization begins at birth and climaxes with the acquisition of 72% after de novo assembly (Extended Data Fig. 2). Comparison to a two dominant groups of strict anaerobic bacteria belonging to the comprehensive gene catalogue that was derived by culture-independent Firmicutes and Bacteroidetes phyla2. Culture-independent, genomic means from the intestinal microbiota of 318 individuals4 found that approaches have transformed our understanding of the role of the 39.4% of the genes in the larger database were represented in our cohort human microbiome in health and many diseases1. However, owing and 73.5% of the 741 computationally derived metagenomic species to the prevailing perception that our indigenous bacteria are largely identified through this analysis were also detectable in the cultured recalcitrant to culture, many of their functions and phenotypes samples. remain unknown3. Here we describe a novel workflow based on Together, these results demonstrate that a considerable proportion of targeted phenotypic culturing linked to large-scale whole-genome the bacteria within the faecal microbiota can be cultured with a single sequencing, phylogenetic analysis and computational modelling that growth medium.