Phenotype Microarray Profiling of Zymomonas Mobilis ZM4
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Conference on Predicting Cell Metabolism and Phenotypes
Conference on Predicting Cell Metabolism and Phenotypes Barry Bochner, Biolog, Inc., [email protected] Brief History of Metabolic Phenotypic Analysis In the beginning … The cell was a black box Early Beginnings of Metabolic Description of Cells Bergey’s Manual 1st Edition, 1923 L. E. den Dooren de Jong Survey of C-Source and N-Source Utilization, 1926 B. coli M. phlei Analogy #1 Metabolic Circuitry Resembles Electronic Circuits View of Cells circa 1960 Regulatory Complexity Added to Circuitry, circa 1970 feedback inhibition, synthetic pathways A B C D E F G feedforward activation, catabolic pathways Feedback and feedforward open up the possibility of oscillations Metabolic Oscillations Metabolic Oscillations A single gene mutation causes cell growth to oscillate ! Histidine secretion Histidine limitation Metabolism Resembles Electronic Circuit Diagrams Electrical Components Biological Components Dehydrogenases Polymerases Isomerases Kinases Glycosidases Hydrolases Phosphatases Epimerases Phosphorylases Transferases Peptidases Proteases Oxidoreductases Lyases Aldolases Ligases Hydroxylases Cyclases Higher Order Understanding of Electronic Circuits Amplifier Receiver Rectifier Oscillator Integrator Comparator Counter Filter Higher Order Understanding of Cells: Physiology • Growth is a property common to all cells • Cell growth is primarily polymer synthesis: DNA, RNA, protein, membranes, wall, storage polymers • The polymers are made by assembling subunits: deoxynucleotides, ribonucleotides, amino acids, etc. • The subunits are made from -
European Workshop on Phenotype Microarrays
Florence Conference on Phenotype MicroArray Analysis of Microorganisms The Environment, Agriculture, and Human Health Firenze-Italy, March 19-21, 2008 Programme and Abstracts Florence Conference on Phenotype MicroArray Analysis of Microorganisms The Environment, Agriculture, and Human Health Firenze-Italy, March 19-21, 2008 Programme and Abstracts Edited by: F. Decorosi, L. Giovannetti, E. Tatti, C. Viti Contents Organization page i Partners-Sponsors and Patronages page ii Programme page iii Poster contributions page 1 Abstracts Part I - lectures and oral presentations page 6 Part II - posters page 33 Author index page 60 Participant list page 64 Organizing and Scientific Committee Carlo Viti Department of Agricultural Biotechnology, University of Firenze, Italy Luciana Giovannetti Department of Agricultural Biotechnology, University of Firenze, Italy Alessandro Camussi, Department of Agricultural Biotechnology, Genexpress laboratory, University of Firenze, Italy Barry Bochner, CEO & CSO Biolog, Usa. Fabio Zenna AES - Chemunex , Italy Scientific Secretariat Enrico Tatti Department of Agricultural Biotechnology, University of Firenze, Italy Francesca Decorosi Department of Agricultural Biotechnology, University of Firenze, Italy i Partners-Sponsors and Patronages ANNALS OF MICROBIOLOGY ii Programme iii Wednesday, 19th 15.00 16.45 Registration 16.45-17.00 The Authorities Welcome to Florence University Carlo Viti and Luciana Opening of Florence Conference on Phenotype Giovannetti (Firenze, MicroArrays Italy) Opening lecture 17.00-18.00 Tom -
Evolution, Epistasis, and the Genotype-To-Phenotype Problem in Myxococcus Xanthus
Syracuse University SURFACE Dissertations - ALL SURFACE 5-14-2017 Evolution, epistasis, and the genotype-to-phenotype problem in Myxococcus xanthus. Michael Bradley Syracuse University Follow this and additional works at: https://surface.syr.edu/etd Part of the Life Sciences Commons Recommended Citation Bradley, Michael, "Evolution, epistasis, and the genotype-to-phenotype problem in Myxococcus xanthus." (2017). Dissertations - ALL. 674. https://surface.syr.edu/etd/674 This Dissertation is brought to you for free and open access by the SURFACE at SURFACE. It has been accepted for inclusion in Dissertations - ALL by an authorized administrator of SURFACE. For more information, please contact [email protected]. Abstract The complex social behavior of M. xanthus makes it an excellent model system to study the relationship between genotype and phenotype. Under nutrient rich conditions, a swarm of M. xanthus cells coordinate their movement outward in search of prey. When starved, cells condense into multicellular structures called aggregates. Taken together, these two aspects of the M. xanthus life cycle display several sub-traits that are used to describe its phenotype. Furthermore, the genome of M. xanthus is large, encoding a predicted 7,314 genes, many of which have been linked to aspects of its multicellular phenotype. This work presented here addresses the genotype-to-phenotype (G2P) problem as it relates to the annotation of a biological process in a model system. The first project addresses G2P from a population genetics approach; we constructed a mutant strain library consisting of 180 single gene knockouts of the ABC transporter superfamily of genes to examine the distribution of mutant phenotypes among an entire group of genes. -
Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays
The International Journal of Biostatistics Volume 6, Issue 1 2010 Article 29 Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays Joseph Sturino, Texas A&M University Ivan Zorych, Texas A&M University Bani Mallick, Texas A&M University Karina Pokusaeva, Texas A&M University Ying-Ying Chang, Texas A&M University Raymond J. Carroll, Texas A&M University Nikolay Bliznuyk, Texas A&M University Recommended Citation: Sturino, Joseph; Zorych, Ivan; Mallick, Bani; Pokusaeva, Karina; Chang, Ying-Ying; Carroll, Raymond J.; and Bliznuyk, Nikolay (2010) "Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays," The International Journal of Biostatistics: Vol. 6: Iss. 1, Article 29. DOI: 10.2202/1557-4679.1227 Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays Joseph Sturino, Ivan Zorych, Bani Mallick, Karina Pokusaeva, Ying-Ying Chang, Raymond J. Carroll, and Nikolay Bliznuyk Abstract We propose statistical methods for comparing phenomics data generated by the Biolog Phenotype Microarray (PM) platform for high-throughput phenotyping. Instead of the routinely used visual inspection of data with no sound inferential basis, we develop two approaches. The first approach is based on quantifying the distance between mean or median curves from two treatments and then applying a permutation test; we also consider a permutation test applied to areas under mean curves. The second approach employs functional principal component analysis. Properties of the proposed methods are investigated on both simulated data and data sets from the PM platform. KEYWORDS: functional data analysis, principal components, permutation tests, phenotype microarrays, high-throughput phenotyping, phenomics, Biolog Author Notes: Zorych and Bliznyuk were supported by the Texas A&M Postdoctoral Training Program of the National Cancer Institute (CA90301). -
EMA/CVMP/158366/2019 Committee for Medicinal Products for Veterinary Use
Ref. Ares(2019)6843167 - 05/11/2019 31 October 2019 EMA/CVMP/158366/2019 Committee for Medicinal Products for Veterinary Use Advice on implementing measures under Article 37(4) of Regulation (EU) 2019/6 on veterinary medicinal products – Criteria for the designation of antimicrobials to be reserved for treatment of certain infections in humans Official address Domenico Scarlattilaan 6 ● 1083 HS Amsterdam ● The Netherlands Address for visits and deliveries Refer to www.ema.europa.eu/how-to-find-us Send us a question Go to www.ema.europa.eu/contact Telephone +31 (0)88 781 6000 An agency of the European Union © European Medicines Agency, 2019. Reproduction is authorised provided the source is acknowledged. Introduction On 6 February 2019, the European Commission sent a request to the European Medicines Agency (EMA) for a report on the criteria for the designation of antimicrobials to be reserved for the treatment of certain infections in humans in order to preserve the efficacy of those antimicrobials. The Agency was requested to provide a report by 31 October 2019 containing recommendations to the Commission as to which criteria should be used to determine those antimicrobials to be reserved for treatment of certain infections in humans (this is also referred to as ‘criteria for designating antimicrobials for human use’, ‘restricting antimicrobials to human use’, or ‘reserved for human use only’). The Committee for Medicinal Products for Veterinary Use (CVMP) formed an expert group to prepare the scientific report. The group was composed of seven experts selected from the European network of experts, on the basis of recommendations from the national competent authorities, one expert nominated from European Food Safety Authority (EFSA), one expert nominated by European Centre for Disease Prevention and Control (ECDC), one expert with expertise on human infectious diseases, and two Agency staff members with expertise on development of antimicrobial resistance . -
Biolog Phenotype Microarray: a Tool for the Identification of Multidrug Resistance Efflux
bioRxiv preprint doi: https://doi.org/10.1101/344879; this version posted June 12, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Biolog phenotype microarray: a tool for the identification of multidrug resistance efflux 2 pumps inducers 3 Blanco, P., Corona, F., Martínez, JL*. 4 Centro Nacional de Biotecnología. CSIC. Darwin 3. 28049-Madrid. Spain. 5 6 7 * Corresponding author 8 Phone: +34 915854542 9 emails: 10 PB: [email protected] 11 FC: [email protected] 12 JLM:[email protected] 13 Running title: Discovering novel effectors of multidrug efflux pumps 1 bioRxiv preprint doi: https://doi.org/10.1101/344879; this version posted June 12, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Abstract 2 Overexpression of multidrug resistance efflux pumps is a relevant mechanism of antibiotic 3 resistance for bacterial pathogens. These systems use to present low levels of basal 4 expression. However, they can be induced by environmental signals or stresses which can 5 lead to situations of phenotypic induced resistance. In contrast to efflux pumps substrates, 6 inducers of these systems have not been thoroughly studied. In this work, we have applied a 7 novel high-throughput methodology in order to identify inducer molecules of the 8 Stenotrophomonas maltophilia SmeVWX and SmeYZ efflux pumps. -
Anew Drug Design Strategy in the Liht of Molecular Hybridization Concept
www.ijcrt.org © 2020 IJCRT | Volume 8, Issue 12 December 2020 | ISSN: 2320-2882 “Drug Design strategy and chemical process maximization in the light of Molecular Hybridization Concept.” Subhasis Basu, Ph D Registration No: VB 1198 of 2018-2019. Department Of Chemistry, Visva-Bharati University A Draft Thesis is submitted for the partial fulfilment of PhD in Chemistry Thesis/Degree proceeding. DECLARATION I Certify that a. The Work contained in this thesis is original and has been done by me under the guidance of my supervisor. b. The work has not been submitted to any other Institute for any degree or diploma. c. I have followed the guidelines provided by the Institute in preparing the thesis. d. I have conformed to the norms and guidelines given in the Ethical Code of Conduct of the Institute. e. Whenever I have used materials (data, theoretical analysis, figures and text) from other sources, I have given due credit to them by citing them in the text of the thesis and giving their details in the references. Further, I have taken permission from the copyright owners of the sources, whenever necessary. IJCRT2012039 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 284 www.ijcrt.org © 2020 IJCRT | Volume 8, Issue 12 December 2020 | ISSN: 2320-2882 f. Whenever I have quoted written materials from other sources I have put them under quotation marks and given due credit to the sources by citing them and giving required details in the references. (Subhasis Basu) ACKNOWLEDGEMENT This preface is to extend an appreciation to all those individuals who with their generous co- operation guided us in every aspect to make this design and drawing successful. -
BMJ Open Is Committed to Open Peer Review. As Part of This Commitment We Make the Peer Review History of Every Article We Publish Publicly Available
BMJ Open is committed to open peer review. As part of this commitment we make the peer review history of every article we publish publicly available. When an article is published we post the peer reviewers’ comments and the authors’ responses online. We also post the versions of the paper that were used during peer review. These are the versions that the peer review comments apply to. The versions of the paper that follow are the versions that were submitted during the peer review process. They are not the versions of record or the final published versions. They should not be cited or distributed as the published version of this manuscript. BMJ Open is an open access journal and the full, final, typeset and author-corrected version of record of the manuscript is available on our site with no access controls, subscription charges or pay-per-view fees (http://bmjopen.bmj.com). If you have any questions on BMJ Open’s open peer review process please email [email protected] BMJ Open Pediatric drug utilization in the Western Pacific region: Australia, Japan, South Korea, Hong Kong and Taiwan Journal: BMJ Open ManuscriptFor ID peerbmjopen-2019-032426 review only Article Type: Research Date Submitted by the 27-Jun-2019 Author: Complete List of Authors: Brauer, Ruth; University College London, Research Department of Practice and Policy, School of Pharmacy Wong, Ian; University College London, Research Department of Practice and Policy, School of Pharmacy; University of Hong Kong, Centre for Safe Medication Practice and Research, Department -
Effects of Chlortetracycline and Copper Supplementation on Levels of Antimicrobial Resistance in the Feces of Weaned Pigs
EFFECTS OF CHLORTETRACYCLINE AND COPPER SUPPLEMENTATION ON LEVELS OF ANTIMICROBIAL RESISTANCE IN THE FECES OF WEANED PIGS by GETAHUN EJETA AGGA DVM, Addis Ababa University, 2003 MSc, Utrecht University, 2008 AN ABSTRACT OF A DISSERTATION submitted in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY Department of Diagnostic Medicine/Pathobiology College of Veterinary Medicine KANSAS STATE UNIVERSITY Manhattan, Kansas 2013 Abstract The use of antibiotics in food animals is of major concern as a purported cause of antimicrobial resistance (AMR) in human pathogens; as a result, alternatives to in-feed antibiotics such as heavy metals have been proposed. The effect of copper and CTC supplementation in weaned pigs on AMR in the gut microbiota was evaluated. Four treatment groups: control, copper, chlortetracycline (CTC), and copper plus CTC were randomly allocated to 32 pens with five pigs per pen. Fecal samples (n = 576) were collected weekly from three pigs per pen over six weeks and two Escherichia coli isolates per sample were tested phenotypically for antimicrobial and copper susceptibilities and genotypically for the presence of tetracycline (tet), copper (pcoD) and ceftiofur (blaCMY-2) resistance genes. CTC-supplementation significantly increased tetracycline resistance and susceptibility to copper when compared with the control group. Copper supplementation decreased resistance to most of the antibiotics, including cephalosporins, over all treatment periods. However, copper supplementation did not affect minimum inhibitory concentrations of copper or detection of pcoD. While tetA and blaCMY-2 genes were associated with a higher multi-drug resistance (MDR), tetB and pcoD were associated with lower MDR. Supplementations of CTC or copper alone were associated with increased tetB prevalence; however, their combination was paradoxically associated with reduced prevalence. -
Primary Target Prediction of Bioactive Molecules from Chemical Structure
bioRxiv preprint doi: https://doi.org/10.1101/413237; this version posted September 10, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Primary Target Prediction of Bioactive Molecules from Chemical Structure Abed Forouzesh1, Sadegh Samadi Foroushani1,*, Fatemeh Forouzesh2, and Eskandar Zand1 1Iranian Research Institute of Plant Protection, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran 2Department of Medicine, Tehran Medical Branch, Islamic Azad University, Tehran, Iran *To whom correspondence should be addressed. Tel: (+9821) 22400080; Fax: (+9821) 22400568; Email: [email protected] ABSTRACT There are various tools for computational target prediction of bioactive molecules from a chemical structure in a machine-readable material but these tools can’t distinguish a primary target from other targets. Also, due to the complex nature of bioactive molecules, there has not been a method to predict a target and or a primary target from a chemical structure in a non-digital material (for example printed or hand-written documents) yet. In this study, an attempt to simplify primary target prediction from a chemical structure was resulted in developing an innovative method based on the minimum structure which can be used in both formats of non-digital and machine-readable materials. A minimum structure does not represent a real molecule or a real association of functional groups, but is a part of a molecular structure which is necessary to ensure the primary target prediction of bioactive molecules. -
Datasets for Transcriptomics, Q-Proteomics and Phenotype Microarrays of Polyphosphate Meta- Bolism Mutants from Escherichia Coli
Data in Brief 12 (2017) 13–17 Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib Data Article Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate meta- bolism mutants from Escherichia coli Macarena Varas a, Camilo Valdivieso a,b, Cecilia Mauriaca a, Javiera Ortíz-Severín a, Alberto Paradela c, Ignacio Poblete-Castro d, Ricardo Cabrera e, Francisco P. Chávez a,n a Systems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile b Department of Ecology, Faculty of Science, University of Chile, Chile c Proteomic Service, CNB CSIC, Spain d Facultad de Ciencias Biológicas, Center for Bioinformatics and Integrative Biology, Biosystems Engineering Laboratory, Universidad Andrés Bello, Chile e Department of Biology, Faculty of Sciences, University of Chile, Chile article info abstract Article history: Here, we provide the dataset associated with our research article Received 6 January 2017 on the polyphosphate metabolism entitled, “Multi-level evaluation Received in revised form of Escherichia coli polyphosphate related mutants using global 30 January 2017 transcriptomic, proteomic and phenomic analyses”. By integrating Accepted 6 March 2017 different omics levels (transcriptome, proteome and phenome), we Available online 18 March 2017 were able to study Escherichia coli polyphosphate mutant strains Keywords: (Δppk1, Δppx, and Δppk1-ppx). We have compiled here all datasets Systems biology from DNA microarrys, q-proteomic (Isotope-Coded Protein Label- Transcriptomics ing, ICPL) and phenomic (Phenotype microarray) raw data we have Q-proteomics obtained in all polyP metabolism mutants. Phenomics & Polyphosphate 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). -
Long-Term Phenotypic Evolution of Bacteria
LETTER doi:10.1038/nature13827 Long-term phenotypic evolution of bacteria Germa´n Plata1,2, Christopher S. Henry3 & Dennis Vitkup1,4 For many decades comparative analyses of protein sequences and is sometimes observed within the same species, a transition from high structures have been used to investigate fundamental principles of to low phenotypic similarity occurs primarily at the genus level. molecular evolution1,2. In contrast, relatively little is known about Analyses of phenotypic evolution, such as the morphological varia- the long-term evolution of species’ phenotypic and genetic properties. tion of beaks in Darwin’s finches3, provided the original impetus and This represents an important gap in our understanding of evolu- context for understanding natural selection. Because the evolutionary tion, as exactly these proprieties play key roles in natural selection importance and physiological role of specific phenotypic traits change and adaptation to diverse environments. Here we perform a com- over time, it is often difficult to connect genotype to phenotype to fit- parative analysis of bacterial growth and gene deletion phenotypes ness across long evolutionary distances, especially for metazoan organ- using hundreds of genome-scale metabolic models. Overall, bacte- isms. For microbial species, on the other hand, the ability to metabolize rial phenotypic evolution can be described by a two-stage process different nutrient sources, although clearly not the only important phe- with a rapid initial phenotypic diversification followed by a slow notype, always remains an essential determinant of their fitness and long-term exponential divergence. The observed average divergence lifestyle. Even though a large-scale comparative analysis of microbial trend, with approximately similar fractions of phenotypic properties phenotypes—such as growth on different nutrients or the impact of changing per unit time, continues for billions of years.