Bioactivity Screening and Gene-Trait Matching Across Marine Sponge-Associated Bacteria
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Methods for De-Novo Genome Assembly
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 28 June 2020 doi:10.20944/preprints202006.0324.v1 Methods for De-novo Genome Assembly Arash Bayat∗1,3, Hasindu Gamaarachchi1, Nandan P Deshpande2, Marc R Wilkins2, and Sri Parameswaran1 1School of Computer Science and Engineering, UNSW, Australia 2Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, UNSW, Australia 3Health and Biosecurity, CSIRO, Australia June 25, 2020 Abstract Despite advances in algorithms and computational platforms, de-novo genome assembly remains a chal- lenging process. Due to the constant innovation in sequencing technologies (Sanger, SOLiD, Illumina, 454 , PacBio and Oxford Nanopore), genome assembly has evolved to respond to the changes in input data type. This paper includes a broad and comparative review of the most recent short-read, long-read and hybrid assembly techniques. In this review, we provide (1) an algorithmic description of the important processes in the workflow that introduces fundamental concepts and improvements; (2) a review of existing software that explains possible options for genome assembly; and (3) a comparison of the accuracy and the performance of existing methods executed on the same computer using the same processing capabilities and using the same set of real and synthetic datasets. Such evaluation allows a fair and precise comparison of accuracy in all aspects. As a result, this paper identifies both the strengths and weaknesses of each method. This com- parative review is unique in providing a detailed comparison of a broad spectrum of cutting-edge algorithms and methods. Availability: https://arashbayat.github.io/asm ∗To whom correspondence should be addressed. Email: [email protected] 1 © 2020 by the author(s). -
A Galaxy-Based Virus Genome Assembly Pipeline A
The Pennsylvania State University The Graduate School VIRAMP: A GALAXY-BASED VIRUS GENOME ASSEMBLY PIPELINE A Thesis in Integrative Biosciences by Yinan Wan © 2014 Yinan Wan Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science December 2014 The thesis of Yinan Wan was reviewed and approved* by the following: Istvan Albert Associate Professor, Bioinformatics, Biochemistry and Molecular Biology Thesis Advisor Moriah L. Szpara Assistant Professor of Biochemistry & Molecular Biology Cooduvalli S. Shashikant Associate Professor of Molecular and Development Biology Co-Director, IBIOS Graduate Program Option in Bioinformatics and Genomics Peter Hudson Willaman Professor of Biology Director, Huck Institutes of the Life Sciences *Signatures are on file in the Graduate School iii ABSTRACT Background Advances in next generation sequencing make it possible to obtain high-coverage sequence data for large numbers of viral strains in a short time. However, since most bioinformatics tools are developed for command line use, the selection and accessibility of computational tools for genome assembly and variation analysis limits the ability of individual scientist to perform further bioinformatics analysis. Findings We have developed a multi-step viral genome assembly pipeline named VirAmp that combines existing tools and techniques and presents them to end users via a web-enabled Galaxy interface. Our pipeline allows users to assemble, analyze and interpret high coverage viral sequencing data with an ease and efficiency that previously was not feasible. Our software makes a large number of genome assembly and related tools available to life scientists and automates the currently recommended best practices into a single, easy to use interface. -
Humpback Whale Populations Share a Core Skin Bacterial Community: Towards a Health Index for Marine Mammals?
Humpback Whale Populations Share a Core Skin Bacterial Community: Towards a Health Index for Marine Mammals? Amy Apprill1*, Jooke Robbins2, A. Murat Eren3, Adam A. Pack4,5, Julie Reveillaud3, David Mattila6, Michael Moore1, Misty Niemeyer7, Kathleen M. T. Moore7, Tracy J. Mincer1* 1 Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America, 2 Center for Coastal Studies, Provincetown, Massachusetts, United States of America, 3 Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America, 4 University of Hawaii at Hilo, Hilo, Hawaii, United States of America, 5 The Dolphin Institute, Honolulu, Hawaii, United States of America, 6 Hawaiian Islands Humpback Whale National Marine Sanctuary, Kihei, Hawaii, United States of America, 7 International Fund for Animal Welfare, Yarmouth Port, Massachusetts, United States of America Abstract Microbes are now well regarded for their important role in mammalian health. The microbiology of skin – a unique interface between the host and environment - is a major research focus in human health and skin disorders, but is less explored in other mammals. Here, we report on a cross-population study of the skin-associated bacterial community of humpback whales (Megaptera novaeangliae), and examine the potential for a core bacterial community and its variability with host (endogenous) or geographic/environmental (exogenous) specific factors. Skin biopsies or freshly sloughed skin from 56 individuals were sampled from populations in the North Atlantic, North Pacific and South Pacific oceans and bacteria were characterized using 454 pyrosequencing of SSU rRNA genes. Phylogenetic and statistical analyses revealed the ubiquity and abundance of bacteria belonging to the Flavobacteria genus Tenacibaculum and the Gammaproteobacteria genus Psychrobacter across the whale populations. -
Bismis-2016 Abstract Book
BISMiS-2016 Abstract Book Third Meeting of Bergey's International Society for Microbial Systematics on Microbial Systematics and Metagenomics September 12-15, 2016 | Pune, INDIA PUNE UNIT Abstracts - Opening Address - Keynotes Abstract Book | BISMiS-2016 | Pune, India Opening Address TAXONOMY OF PROKARYOTES - NEW CHALLENGES IN A GLOBAL WORLD Peter Kämpfer* Justus-Liebig-University Giessen, HESSEN, Germany Email: [email protected] Systematics can be considered as a comprehensive science, because in science it is an essential aspect in comparing any two or more elements, whether they are genes or genomes, proteins or proteomes, biochemical pathways or metabolomes (just to list a few examples), or whole organisms. The development of high throughput sequencing techniques has led to an enormous amount of data (genomic and other “omic” data) and has also revealed an extensive diversity behind these data. These data are more and more used also in systematics and there is a strong trend to classify and name the taxonomic units in prokaryotic systematics preferably on the basis of sequence data. Unfortunately, the knowledge of the meaning behind the sequence data does not keep up with the tremendous increase of generated sequences. The extent of the accessory genome in any given cell, and perhaps the infinite extent of the pan-genome (as an aggregate of all the accessory genomes) is fascinating but it is an open question if and how these data should be used in systematics. Traditionally the polyphasic approach in bacterial systematics considers methods including both phenotype and genotype. And it is the phenotype that is (also) playing an essential role in driving the evolution. -
Culturing Ancient Bacteria Carrying Resistance Genes from Permafrost and Comparative Genomics with Modern Isolates
microorganisms Article Culturing Ancient Bacteria Carrying Resistance Genes from Permafrost and Comparative Genomics with Modern Isolates Pamela Afouda 1,2, Grégory Dubourg 1,2, Anthony Levasseur 1,2, Pierre-Edouard Fournier 2,3 , Jeremy Delerce 1, Oleg Mediannikov 1 , Seydina M. Diene 1,2 , Daniel Nahon 4, Didier Bourlès 4, Jean-Marc Rolain 1,2 and Didier Raoult 1,2,* 1 Aix Marseille Université, IRD, AP-HM, MEPHI, 13005 Marseille, France; [email protected] (P.A.); [email protected] (G.D.); [email protected] (A.L.); [email protected] (J.D.); [email protected] (O.M.); [email protected] (S.M.D.); [email protected] (J.-M.R.) 2 IHU Méditerranée Infection, 13005 Marseille, France; [email protected] 3 UMR VITROME, SSA, Aix-Marseille Université, IRD, AP-HM, IHU-Méditerranée-Infection, 13005 Marseille, France 4 Aix-Marseille University, CNRS, IRD, INRAE, Coll France, UM 34 CEREGE, Technopôle de l’Environnement Arbois-Méditerranée, BP80, 13545 Aix-en-Provence, France; [email protected] (D.N.); [email protected] (D.B.) * Correspondence: [email protected]; Tel.: +33-413-732-401; Fax: +33-413-732-402 Received: 29 March 2020; Accepted: 1 October 2020; Published: 3 October 2020 Abstract: Long considered to be a consequence of human antibiotics use by deduction, antibiotic resistance mechanisms appear to be in fact a much older phenomenon as antibiotic resistance genes have previously been detected from millions of year-old permafrost samples. As these specimens guarantee the viability of archaic bacteria, we herein propose to apply the culturomics approach to recover the bacterial content of a Siberian permafrost sample dated, using the in situ-produced cosmogenic nuclide chlorine36 (36Cl), at 2.7 million years to study the dynamics of bacterial evolution in an evolutionary perspective. -
A New Versatile Metagenomic Assembler (Supplementary Material)
metaSPAdes: a new versatile metagenomic assembler (Supplementary Material) Sergey Nurk1,*,**, Dmitry Meleshko1,*, Anton Korobeynikov1,2 and Pavel A Pevzner1,3 1Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia 2Department of Statistical Modelling, St. Petersburg State University, St. Petersburg, Russia 3Department of Computer Science and Engineering, University of California, San Diego, USA *These authors contributed equally to this work **corresponding author, [email protected] Data preprocessing 2 Modifying the decision rule in exSPAnder for metagenomic data 3 Reducing running time and memory footprint of metaSPAdes 4 Bulge projection approach 6 Nx statistics 7 Analysis of the SYNTH dataset 8 CAMI datasets 10 Analysis of the CAMI datasets 14 BenchmarKing SPAdes against metaSPAdes 17 Effect of novel algorithmic approaches in metaSPAdes on assembly quality 21 Analysis of the HMP dataset 25 References 27 1 Supplemental Material: Data preprocessing The SYNTH, HMP, MARINE, and SOIL datasets were pre-processed to remove adaptors and trim low- quality segments of the reads. We used cutadapt software v 1.9.1 (Martin 2011), trimming bases with PHRED quality < 20 from 3’ end (parameter -q 20). Adaptor sequences were identified for each dataset individually, using FastQC v0.11.3 and manual reads inspection: SYNTH: -q 20 -a GAACTCCAGTCACTGACCAATCTCGTATGCCGTCTTCTGCTTG -A AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGATCTCGGTGGTCGCCGTATCATT HMP: -q 20 -a AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAGACCGATCTCGTATGCCGTCTTCTGCTTG -
Spades: a New Genome Assembler for Single-Cell Sequencing
Problem setting and preparing data The SPAdes approach SPAdes: a New Genome Assembler for Single-Cell Sequencing Algorithmic Biology Lab St. Petersburg Academic University A. Bankevich, S. Nurk, D. Antipov, A.A. Gurevich, M. Dvorkin, A. Korobeynikov, A.S. Kulikov, V.M. Lesin, S.I. Nikolenko, S. Pham, A.D. Prjibelski, A.V. Pyshkin, A.V. Sirotkin, N. Vyahhi, G. Tesler, M.A. Alekseyev, P.A. Pevzner August 27, 2012 Algorithmic Biology Lab, SPbAU SPAdes Problem setting and preparing data Assembly: problem and pipeline The SPAdes approach Error correction: BayesHammer Outline 1 Problem setting and preparing data Assembly: problem and pipeline Error correction: BayesHammer 2 The SPAdes approach De Bruijn graphs, mate-pairs, and simplification Paired de Bruijn graphs and repeats Algorithmic Biology Lab, SPbAU SPAdes Problem setting and preparing data Assembly: problem and pipeline The SPAdes approach Error correction: BayesHammer Single-cell sequencing Recent years have seen the advent of single-cell sequencing as a way to sequence genomes that we previously couldn’t. It turns out that many bacteria (“dark matter of life”) cannot be sequenced by standard techniques, most often because they cannot be cloned millions of times to get large DNA samples needed for regular sequencing. This is usually due to the fact that these bacteria come in metagenomic samples (ocean samples, microbiomes of larger organisms etc.) and cannot be cultivated alone. For now, metagenomic analysis can yield more or less only individual genes. Single-cell sequencing can -
A Genomic Journey Through a Genus of Large DNA Viruses
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Virology Papers Virology, Nebraska Center for 2013 Towards defining the chloroviruses: a genomic journey through a genus of large DNA viruses Adrien Jeanniard Aix-Marseille Université David D. Dunigan University of Nebraska-Lincoln, [email protected] James Gurnon University of Nebraska-Lincoln, [email protected] Irina V. Agarkova University of Nebraska-Lincoln, [email protected] Ming Kang University of Nebraska-Lincoln, [email protected] See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/virologypub Part of the Biological Phenomena, Cell Phenomena, and Immunity Commons, Cell and Developmental Biology Commons, Genetics and Genomics Commons, Infectious Disease Commons, Medical Immunology Commons, Medical Pathology Commons, and the Virology Commons Jeanniard, Adrien; Dunigan, David D.; Gurnon, James; Agarkova, Irina V.; Kang, Ming; Vitek, Jason; Duncan, Garry; McClung, O William; Larsen, Megan; Claverie, Jean-Michel; Van Etten, James L.; and Blanc, Guillaume, "Towards defining the chloroviruses: a genomic journey through a genus of large DNA viruses" (2013). Virology Papers. 245. https://digitalcommons.unl.edu/virologypub/245 This Article is brought to you for free and open access by the Virology, Nebraska Center for at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Virology Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Adrien Jeanniard, David D. Dunigan, James Gurnon, Irina V. Agarkova, Ming Kang, Jason Vitek, Garry Duncan, O William McClung, Megan Larsen, Jean-Michel Claverie, James L. Van Etten, and Guillaume Blanc This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/ virologypub/245 Jeanniard, Dunigan, Gurnon, Agarkova, Kang, Vitek, Duncan, McClung, Larsen, Claverie, Van Etten & Blanc in BMC Genomics (2013) 14. -
Computational Protocol for Assembly and Analysis of SARS-Ncov-2 Genomes
PROTOCOL Computational Protocol for Assembly and Analysis of SARS-nCoV-2 Genomes Mukta Poojary1,2, Anantharaman Shantaraman1, Bani Jolly1,2 and Vinod Scaria1,2 1CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi 2Academy of Scientific and Innovative Research (AcSIR) *Corresponding email: MP [email protected]; AS [email protected]; BJ [email protected]; VS [email protected] ABSTRACT SARS-CoV-2, the pathogen responsible for the ongoing Coronavirus Disease 2019 pandemic is a novel human-infecting strain of Betacoronavirus. The outbreak that initially emerged in Wuhan, China, rapidly spread to several countries at an alarming rate leading to severe global socio-economic disruption and thus overloading the healthcare systems. Owing to the high rate of infection of the virus, as well as the absence of vaccines or antivirals, there is a lack of robust mechanisms to control the outbreak and contain its transmission. Rapid advancement and plummeting costs of high throughput sequencing technologies has enabled sequencing of the virus in several affected individuals globally. Deciphering the viral genome has the potential to help understand the epidemiology of the disease as well as aid in the development of robust diagnostics, novel treatments and prevention strategies. Towards this effort, we have compiled a comprehensive protocol for analysis and interpretation of the sequencing data of SARS-CoV-2 using easy-to-use open source utilities. In this protocol, we have incorporated strategies to assemble the genome of SARS-CoV-2 using two approaches: reference-guided and de novo. Strategies to understand the diversity of the local strain as compared to other global strains have also been described in this protocol. -
Genus-Wide Comparison of Pseudovibrio Bacterial Genomes Reveal Diverse Adaptations to Different Marine Invertebrate Hosts
RESEARCH ARTICLE Genus-wide comparison of Pseudovibrio bacterial genomes reveal diverse adaptations to different marine invertebrate hosts Anoop Alex1,2*, Agostinho Antunes1,2* 1 CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal, 2 Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal * [email protected] (AA); [email protected] (AA) a1111111111 a1111111111 a1111111111 a1111111111 Abstract a1111111111 Bacteria belonging to the genus Pseudovibrio have been frequently found in association with a wide variety of marine eukaryotic invertebrate hosts, indicative of their versatile and symbiotic lifestyle. A recent comparison of the sponge-associated Pseudovibrio genomes has shed light on the mechanisms influencing a successful symbiotic association with OPEN ACCESS sponges. In contrast, the genomic architecture of Pseudovibrio bacteria associated with Citation: Alex A, Antunes A (2018) Genus-wide other marine hosts has received less attention. Here, we performed genus-wide compara- comparison of Pseudovibrio bacterial genomes reveal diverse adaptations to different marine tive analyses of 18 Pseudovibrio isolated from sponges, coral, tunicates, flatworm, and sea- invertebrate hosts. PLoS ONE 13(5): e0194368. water. The analyses revealed a certain degree of commonality among the majority of https://doi.org/10.1371/journal.pone.0194368 sponge- and coral-associated bacteria. Isolates from other marine invertebrate host, tuni- Editor: Zhi Ruan, Zhejiang University, CHINA cates, exhibited a genetic repertoire for cold adaptation and specific metabolic abilities Received: November 12, 2017 including mucin degradation in the Antarctic tunicate-associated bacterium Pseudovibrio sp. Tun.PHSC04_5.I4. Reductive genome evolution was simultaneously detected in the flat- Accepted: March 1, 2018 worm-associated bacteria and the sponge-associated bacterium P. -
Fish Bacterial Flora Identification Via Rapid Cellular Fatty Acid Analysis
Fish bacterial flora identification via rapid cellular fatty acid analysis Item Type Thesis Authors Morey, Amit Download date 09/10/2021 08:41:29 Link to Item http://hdl.handle.net/11122/4939 FISH BACTERIAL FLORA IDENTIFICATION VIA RAPID CELLULAR FATTY ACID ANALYSIS By Amit Morey /V RECOMMENDED: $ Advisory Committe/ Chair < r Head, Interdisciplinary iProgram in Seafood Science and Nutrition /-■ x ? APPROVED: Dean, SchooLof Fisheries and Ocfcan Sciences de3n of the Graduate School Date FISH BACTERIAL FLORA IDENTIFICATION VIA RAPID CELLULAR FATTY ACID ANALYSIS A THESIS Presented to the Faculty of the University of Alaska Fairbanks in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE By Amit Morey, M.F.Sc. Fairbanks, Alaska h r A Q t ■ ^% 0 /v AlA s ((0 August 2007 ^>c0^b Abstract Seafood quality can be assessed by determining the bacterial load and flora composition, although classical taxonomic methods are time-consuming and subjective to interpretation bias. A two-prong approach was used to assess a commercially available microbial identification system: confirmation of known cultures and fish spoilage experiments to isolate unknowns for identification. Bacterial isolates from the Fishery Industrial Technology Center Culture Collection (FITCCC) and the American Type Culture Collection (ATCC) were used to test the identification ability of the Sherlock Microbial Identification System (MIS). Twelve ATCC and 21 FITCCC strains were identified to species with the exception of Pseudomonas fluorescens and P. putida which could not be distinguished by cellular fatty acid analysis. The bacterial flora changes that occurred in iced Alaska pink salmon ( Oncorhynchus gorbuscha) were determined by the rapid method. -
Isolation of an Antimicrobial Compound Produced by Bacteria Associated with Reef-Building Corals
A peer-reviewed version of this preprint was published in PeerJ on 18 August 2016. View the peer-reviewed version (peerj.com/articles/2275), which is the preferred citable publication unless you specifically need to cite this preprint. Raina J, Tapiolas D, Motti CA, Foret S, Seemann T, Tebben J, Willis BL, Bourne DG. 2016. Isolation of an antimicrobial compound produced by bacteria associated with reef-building corals. PeerJ 4:e2275 https://doi.org/10.7717/peerj.2275 Isolation of an antimicrobial compound produced by bacteria associated with reef-building corals Jean-Baptiste Raina Corresp., 1, 2, 3, 4, 5 , Dianne Tapiolas 2 , Cherie A Motti 2 , Sylvain Foret 3, 6 , Torsten Seemann 7 , Jan Tebben 8, 9 , Bette L Willis 3, 4 , David G Bourne 2, 4 1 Climate Change Cluster (C3), University of Technology Sydney, Sydney, NSW, Australia 2 Australian Institute of Marine Science, Townsville, QLD, Australia 3 James Cook University, Australian Research Council Centre of Excellence for Coral Reef Studies, Townsville, QLD, Australia 4 Marine Biology and Aquaculture, College of Science and Engineering, James Cook University of North Queensland, Townsville, QLD, Australia 5 James Cook University, AIMS@JCU, Townsville, QLD, Australia 6 Research School of Biology, Australian National University, Canberra, ACT, Australia 7 Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Victoria, Australia 8 Section Chemical Ecology, Alfred Wegener Institute, Bremerhaven, Germany 9 University of New South Wales, Sydney, NSW, Australia Corresponding Author: Jean-Baptiste Raina Email address: [email protected] Bacterial communities associated with healthy corals produce antimicrobial compounds that inhibit the colonization and growth of invasive microbes and potential pathogens.