Differences in Gut Virome Related to Barrett Esophagus and Esophageal Adenocarcinoma
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												Gut Microbiota Beyond Bacteria—Mycobiome, Virome, Archaeome, and Eukaryotic Parasites in IBD
International Journal of Molecular Sciences Review Gut Microbiota beyond Bacteria—Mycobiome, Virome, Archaeome, and Eukaryotic Parasites in IBD Mario Matijaši´c 1,* , Tomislav Meštrovi´c 2, Hana Cipˇci´cPaljetakˇ 1, Mihaela Peri´c 1, Anja Bareši´c 3 and Donatella Verbanac 4 1 Center for Translational and Clinical Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia; [email protected] (H.C.P.);ˇ [email protected] (M.P.) 2 University Centre Varaždin, University North, 42000 Varaždin, Croatia; [email protected] 3 Division of Electronics, Ruđer Boškovi´cInstitute, 10000 Zagreb, Croatia; [email protected] 4 Faculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia; [email protected] * Correspondence: [email protected]; Tel.: +385-01-4590-070 Received: 30 January 2020; Accepted: 7 April 2020; Published: 11 April 2020 Abstract: The human microbiota is a diverse microbial ecosystem associated with many beneficial physiological functions as well as numerous disease etiologies. Dominated by bacteria, the microbiota also includes commensal populations of fungi, viruses, archaea, and protists. Unlike bacterial microbiota, which was extensively studied in the past two decades, these non-bacterial microorganisms, their functional roles, and their interaction with one another or with host immune system have not been as widely explored. This review covers the recent findings on the non-bacterial communities of the human gastrointestinal microbiota and their involvement in health and disease, with particular focus on the pathophysiology of inflammatory bowel disease. Keywords: gut microbiota; inflammatory bowel disease (IBD); mycobiome; virome; archaeome; eukaryotic parasites 1. Introduction Trillions of microbes colonize the human body, forming the microbial community collectively referred to as the human microbiota. - 
												
												Rapid Evolution of the Human Gut Virome
Rapid evolution of the human gut virome Samuel Minota, Alexandra Brysona, Christel Chehouda, Gary D. Wub, James D. Lewisb,c, and Frederic D. Bushmana,1 aDepartment of Microbiology, bDivision of Gastroenterology, and cCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104 Edited by Sankar Adhya, National Institutes of Health, National Cancer Institute, Bethesda, MD, and approved May 31, 2013 (received for review January 15, 2013) Humans are colonized by immense populations of viruses, which sequenced independently to allow estimation of within-time point metagenomic analysis shows are mostly unique to each individual. sample variation. Virus-like particles were extracted by sequential To investigate the origin and evolution of the human gut virome, filtration, Centricon ultrafiltration, nuclease treatment, and sol- we analyzed the viral community of one adult individual over 2.5 y vent extraction. Purified viral DNA was subjected to linear am- by extremely deep metagenomic sequencing (56 billion bases of plification using Φ29 DNA polymerase, after which quantitative purified viral sequence from 24 longitudinal fecal samples). After PCR showed that bacterial 16S sequences were reduced to less assembly, 478 well-determined contigs could be identified, which than 10 copies per nanogram of DNA, and human sequences were are inferred to correspond mostly to previously unstudied bacterio- reduced to below 0.1 copies per nanogram, the limit of detection. phage genomes. Fully 80% of these types persisted throughout the Paired-end reads then were acquired using Illumina HiSeq se- duration of the 2.5-y study, indicating long-term global stability. - 
												
												Coming-Of-Age Characterization of Soil Viruses: a User's Guide To
Review Coming-of-Age Characterization of Soil Viruses: A User’s Guide to Virus Isolation, Detection within Metagenomes, and Viromics Gareth Trubl 1,* , Paul Hyman 2 , Simon Roux 3 and Stephen T. Abedon 4,* 1 Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA 2 Department of Biology/Toxicology, Ashland University, Ashland, OH 44805, USA; [email protected] 3 DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; [email protected] 4 Department of Microbiology, The Ohio State University, Mansfield, OH 44906, USA * Correspondence: [email protected] (G.T.); [email protected] (S.T.A.) Received: 25 February 2020; Accepted: 17 April 2020; Published: 21 April 2020 Abstract: The study of soil viruses, though not new, has languished relative to the study of marine viruses. This is particularly due to challenges associated with separating virions from harboring soils. Generally, three approaches to analyzing soil viruses have been employed: (1) Isolation, to characterize virus genotypes and phenotypes, the primary method used prior to the start of the 21st century. (2) Metagenomics, which has revealed a vast diversity of viruses while also allowing insights into viral community ecology, although with limitations due to DNA from cellular organisms obscuring viral DNA. (3) Viromics (targeted metagenomics of virus-like-particles), which has provided a more focused development of ‘virus-sequence-to-ecology’ pipelines, a result of separation of presumptive virions from cellular organisms prior to DNA extraction. This separation permits greater sequencing emphasis on virus DNA and thereby more targeted molecular and ecological characterization of viruses. - 
												
												The Intra-Dependence of Viruses and the Holobiont
UC Merced UC Merced Previously Published Works Title The Intra-Dependence of Viruses and the Holobiont. Permalink https://escholarship.org/uc/item/41h7q2bs Author Grasis, Juris A Publication Date 2017 DOI 10.3389/fimmu.2017.01501 Peer reviewed eScholarship.org Powered by the California Digital Library University of California PERSPECTIVE published: 09 November 2017 doi: 10.3389/fimmu.2017.01501 The Intra-Dependence of Viruses and the Holobiont Juris A. Grasis1,2* 1 Department of Biology, San Diego State University, San Diego, CA, United States, 2 School of Natural Sciences, University of California at Merced, Merced, CA, United States Animals live in symbiosis with the microorganisms surrounding them. This symbiosis is necessary for animal health, as a symbiotic breakdown can lead to a disease state. The functional symbiosis between the host, and associated prokaryotes, eukaryotes, and viruses in the context of an environment is the holobiont. Deciphering these holobiont associations has proven to be both difficult and controversial. In particular, holobiont association with viruses has been of debate even though these interactions have been occurring since cellular life began. The controversy stems from the idea that all viruses are parasitic, yet their associations can also be beneficial. To determine viral involvement within the holobiont, it is necessary to identify and elucidate the function of viral popula- Edited by: tions in symbiosis with the host. Viral metagenome analyses identify the communities of Larry J. Dishaw, eukaryotic and prokaryotic viruses that functionally associate within a holobiont. Similarly, University of South Florida St. Petersburg, United States analyses of the host in response to viral presence determine how these interactions are Reviewed by: maintained. - 
												
												Bacteria Definitions.Pdf
Antibiotic -- a type of antimicrobial substance active against bacteria Archae-bacteria -- microorganisms that are similar to bacteria in size and simplicity of structure but radically different in molecular organization Bacilli -- a taxonomic class of bacteria that includes two orders, Bacillales and Lactobacillales Bacillus anthracis -- the cause of anthrax Bacteria – ubiquitous one-celled organisms involved in fermentation, putrefaction, infectious diseases, and nitrogen fixation Bacteriophage -- a virus that infects and replicates within bacteria and archaea Binary fission -- the process that bacteria use to carry out cell division Capsid – structure that encloses a virus’ nucleic acid Chemo-heterotroph -- an organism that derives its energy from chemicals, and needs to consume other organisms in order to live Class -- A taxonomic group comprised of organisms that share a common attribute Cocci – spherical bacteria Conjugation – temporary union of two bacteria Coronavirus -- when viewed under an electron microscopic each virion in this type of virus is surrounded by a halo Domain -- the highest taxonomic rank of organisms Endospore – spore formed within a cell of a rod-shaped organism Eubacteria -- single-celled prokaryotic microorganisms that have a range of characteristics and are found in various conditions throughout all parts of the world. All types of bacteria fall under this title, except for archaebacteria Eykaryote -- organisms whose cells have a nucleus enclosed within a nuclear envelope Family -- A taxonomic rank in the - 
												
												Phylogenomic Networks Reveal Limited Phylogenetic Range of Lateral Gene Transfer by Transduction
The ISME Journal (2017) 11, 543–554 OPEN © 2017 International Society for Microbial Ecology All rights reserved 1751-7362/17 www.nature.com/ismej ORIGINAL ARTICLE Phylogenomic networks reveal limited phylogenetic range of lateral gene transfer by transduction Ovidiu Popa1, Giddy Landan and Tal Dagan Institute of General Microbiology, Christian-Albrechts University of Kiel, Kiel, Germany Bacteriophages are recognized DNA vectors and transduction is considered as a common mechanism of lateral gene transfer (LGT) during microbial evolution. Anecdotal events of phage- mediated gene transfer were studied extensively, however, a coherent evolutionary viewpoint of LGT by transduction, its extent and characteristics, is still lacking. Here we report a large-scale evolutionary reconstruction of transduction events in 3982 genomes. We inferred 17 158 recent transduction events linking donors, phages and recipients into a phylogenomic transduction network view. We find that LGT by transduction is mostly restricted to closely related donors and recipients. Furthermore, a substantial number of the transduction events (9%) are best described as gene duplications that are mediated by mobile DNA vectors. We propose to distinguish this type of paralogy by the term autology. A comparison of donor and recipient genomes revealed that genome similarity is a superior predictor of species connectivity in the network in comparison to common habitat. This indicates that genetic similarity, rather than ecological opportunity, is a driver of successful transduction during microbial evolution. A striking difference in the connectivity pattern of donors and recipients shows that while lysogenic interactions are highly species-specific, the host range for lytic phage infections can be much wider, serving to connect dense clusters of closely related species. - 
												
												Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae - 
												
												Metatranscriptomics to Characterize Respiratory Virome, Microbiome, and Host Response Directly from Clinical Samples
Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples Seesandra Rajagopala ( [email protected] ) Vanderbilt University Medical Center Nicole Bakhoum Vanderbilt University Medical Center Suman Pakala Vanderbilt University Medical Center Meghan Shilts Vanderbilt University Medical Center Christian Rosas-Salazar Vanderbilt University Medical Center Annie Mai Vanderbilt University Medical Center Helen Boone Vanderbilt University Medical Center Rendie McHenry Vanderbilt University Medical Center Shibu Yooseph University of Central Florida https://orcid.org/0000-0001-5581-5002 Natasha Halasa Vanderbilt University Medical Center Suman Das Vanderbilt University Medical Center https://orcid.org/0000-0003-2496-9724 Article Keywords: Metatranscriptomics, Virome, Microbiome, Next-Generation Sequencing (NGS), RNA-Seq, Acute Respiratory Infection (ARI), Respiratory Syncytial Virus (RSV), Coronavirus (CoV) Posted Date: October 15th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-77157/v1 Page 1/31 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/31 Abstract We developed a metatranscriptomics method that can simultaneously capture the respiratory virome, microbiome, and host response directly from low-biomass clinical samples. Using nasal swab samples, we have demonstrated that this method captures the comprehensive RNA virome with sucient sequencing depth required to assemble complete genomes. We nd a surprisingly high-frequency of Respiratory Syncytial Virus (RSV) and Coronavirus (CoV) in healthy children, and a high frequency of RSV-A and RSV-B co-infections in children with symptomatic RSV. In addition, we have characterized commensal and pathogenic bacteria, and fungi at the species-level. Functional analysis of bacterial transcripts revealed H. - 
												
												Characterization of an Adapted Microbial Population to the Bioconversion of Carbon Monoxide Into Butanol Using Next-Generation Sequencing Technology
Characterization of an adapted microbial population to the bioconversion of carbon monoxide into butanol using next-generation sequencing technology Guillaume Bruant Research officer, Bioengineering group Energy, Mining, Environment - National Research Council Canada Pacific Rim Summit on Industrial Biotechnology and Bioenergy December 8 -11, 2013 Butanol from residue (dry): syngas route biomass → gasification → syngas → catalysis → synfuels (CO, H2, CO2, CH4) (alcohols…) Biocatalysis vs Chemical catalysis potential for higher product specificity may be less problematic when impurities present less energy intensive (low pressure and temperature) Anaerobic undefined mixed culture vs bacterial pure culture mesophilic anaerobic sludge treating agricultural wastes (Lassonde Inc, Rougemont, QC, Canada) PRS 2013 - 2 Experimental design CO Alcohols Serum bottles incubated at Next Generation RDP Pyrosequencing mesophilic temperature Sequencing (NGS) pipeline 35°C for 2 months Ion PGMTM sequencer http://pyro.cme.msu.edu/ sequences filtered CO continuously supplied Monitoring of bacterial and to the gas phase archaeal populations RDP classifier atmosphere of 100% CO, http://rdp.cme.msu.edu/ 1 atm 16S rRNA genes Ion 314TM chip classifier VFAs & alcohol production bootstrap confidence cutoff low level of butanol of 50 % Samples taken after 1 and 2 months total genomic DNA extracted, purified, concentrated PRS 2013 - 3 NGS: bacterial results Bacterial population - Phylum level 100% 80% Other Chloroflexi 60% Synergistetes % - 
												
												Phylogenomic Analysis of 589 Metagenome-Assembled Genomes Encompassing All Major Prokaryotic Lineages from the Gut of Higher Termites
Phylogenomic analysis of 589 metagenome-assembled genomes encompassing all major prokaryotic lineages from the gut of higher termites Vincent Hervé1, Pengfei Liu1, Carsten Dietrich1, David Sillam-Dussès2, Petr Stiblik3, Jan Šobotník3 and Andreas Brune1 1 Research Group Insect Gut Microbiology and Symbiosis, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany 2 Laboratory of Experimental and Comparative Ethology EA 4443, Université Paris 13, Villetaneuse, France 3 Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic ABSTRACT “Higher” termites have been able to colonize all tropical and subtropical regions because of their ability to digest lignocellulose with the aid of their prokaryotic gut microbiota. Over the last decade, numerous studies based on 16S rRNA gene amplicon libraries have largely described both the taxonomy and structure of the prokaryotic communities associated with termite guts. Host diet and microenvironmental conditions have emerged as the main factors structuring the microbial assemblages in the different gut compartments. Additionally, these molecular inventories have revealed the existence of termite-specific clusters that indicate coevolutionary processes in numerous prokaryotic lineages. However, for lack of representative isolates, the functional role of most lineages remains unclear. We reconstructed 589 metagenome-assembled genomes (MAGs) from the different Submitted 29 August 2019 gut compartments of eight higher termite species that encompass 17 prokaryotic - 
												
												Modulation of the Gut Microbiota Alters the Tumour-Suppressive Efficacy of Tim-3 Pathway Blockade in a Bacterial Species- and Host Factor-Dependent Manner
microorganisms Article Modulation of the Gut Microbiota Alters the Tumour-Suppressive Efficacy of Tim-3 Pathway Blockade in a Bacterial Species- and Host Factor-Dependent Manner Bokyoung Lee 1,2, Jieun Lee 1,2, Min-Yeong Woo 1,2, Mi Jin Lee 1, Ho-Joon Shin 1,2, Kyongmin Kim 1,2 and Sun Park 1,2,* 1 Department of Microbiology, Ajou University School of Medicine, Youngtongku Wonchondong San 5, Suwon 442-749, Korea; [email protected] (B.L.); [email protected] (J.L.); [email protected] (M.-Y.W.); [email protected] (M.J.L.); [email protected] (H.-J.S.); [email protected] (K.K.) 2 Department of Biomedical Sciences, The Graduate School, Ajou University, Youngtongku Wonchondong San 5, Suwon 442-749, Korea * Correspondence: [email protected]; Tel.: +82-31-219-5070 Received: 22 August 2020; Accepted: 9 September 2020; Published: 11 September 2020 Abstract: T cell immunoglobulin and mucin domain-containing protein-3 (Tim-3) is an immune checkpoint molecule and a target for anti-cancer therapy. In this study, we examined whether gut microbiota manipulation altered the anti-tumour efficacy of Tim-3 blockade. The gut microbiota of mice was manipulated through the administration of antibiotics and oral gavage of bacteria. Alterations in the gut microbiome were analysed by 16S rRNA gene sequencing. Gut dysbiosis triggered by antibiotics attenuated the anti-tumour efficacy of Tim-3 blockade in both C57BL/6 and BALB/c mice. Anti-tumour efficacy was restored following oral gavage of faecal bacteria even as antibiotic administration continued. In the case of oral gavage of Enterococcus hirae or Lactobacillus johnsonii, transferred bacterial species and host mouse strain were critical determinants of the anti-tumour efficacy of Tim-3 blockade. - 
												
												Freshwater Viral Metagenome Reveals Novel and Functional Phage-Borne
Moon et al. Microbiome (2020) 8:75 https://doi.org/10.1186/s40168-020-00863-4 RESEARCH Open Access Freshwater viral metagenome reveals novel and functional phage-borne antibiotic resistance genes Kira Moon1, Jeong Ho Jeon2, Ilnam Kang1, Kwang Seung Park2, Kihyun Lee3, Chang-Jun Cha3, Sang Hee Lee2* and Jang-Cheon Cho1* Abstract Background: Antibiotic resistance developed by bacteria is a significant threat to global health. Antibiotic resistance genes (ARGs) spread across different bacterial populations through multiple dissemination routes, including horizontal gene transfer mediated by bacteriophages. ARGs carried by bacteriophages are considered especially threatening due to their prolonged persistence in the environment, fast replication rates, and ability to infect diverse bacterial hosts. Several studies employing qPCR and viral metagenomics have shown that viral fraction and viral sequence reads in clinical and environmental samples carry many ARGs. However, only a few ARGs have been found in viral contigs assembled from metagenome reads, with most of these genes lacking effective antibiotic resistance phenotypes. Owing to the wide application of viral metagenomics, nevertheless, different classes of ARGs are being continuously found in viral metagenomes acquired from diverse environments. As such, the presence and functionality of ARGs encoded by bacteriophages remain up for debate. Results: We evaluated ARGs excavated from viral contigs recovered from urban surface water viral metagenome data. In virome reads and contigs, diverse ARGs, including polymyxin resistance genes, multidrug efflux proteins, and β-lactamases, were identified. In particular, when a lenient threshold of e value of ≤ 1×e−5 and query coverage of ≥ 60% were employed in the Resfams database, the novel β-lactamases blaHRV-1 and blaHRVM-1 were found.