Opendata, web and dolomites

GDA in staphylococci

Gen Duplication and Amplification in Staphylococcal populations

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 GDA in staphylococci project word cloud

Explore the words cloud of the GDA in staphylococci project. It provides you a very rough idea of what is the project "GDA in staphylococci" about.

causing    infection    duplications    species    resistance    technologies    evolutionary    additional    copy    sequence    experiments    qpcr    clinical    genetic    unanswered    staphylococcus    antibiotics    frequency    gda    valuable    regarding    almost    environment    changing    experimental    emrsa15    pathogens    model    natural    bacterial    acquiring    regions    gene    exemplarily    sequences    cf    fibrosis    dosage    gdas    biological    suffering    sequencing    difficulties    scaffold    aureus    1200    bacteria    organisms    setups    variation    techniques    acquire    clinically    amplifications    data    387    alter    material    populations    setting    putative    validation    optimize    readily    genome    possess    hospital    usa300    virulence    resistances    questions    antibiotic    transfer    groundbreaking    detection    avenues    minor    lung    besides    coverage    mechanisms    isolates    environmental    extend    adaption    accordingly    gen    showed    infections    comprising    apparent    extract    exclusively    ngs    rapid    adapt    genomic    pressure    ca    determinant    chronic    cystic    identification    horizontal    patients   

Project "GDA in staphylococci" data sheet

The following table provides information about the project.

Coordinator
EBERHARD KARLS UNIVERSITAET TUEBINGEN 

Organization address
address: GESCHWISTER-SCHOLL-PLATZ
city: TUEBINGEN
postcode: 72074
website: www.uni-tuebingen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website http://www.imit.uni-tuebingen.de/arbeitsgruppen/infektionsbiologie/ag-heilbronner.html
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2018-03-02

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EBERHARD KARLS UNIVERSITAET TUEBINGEN DE (TUEBINGEN) coordinator 171˙460.00

Map

 Project objective

Bacterial pathogens possess the ability to adapt rapidly to changing environmental conditions which is especially apparent in the hospital setting where bacteria acquire antibiotic resistances readily. Besides well studied mechanisms such as horizontal gene transfer bacteria can alter the genetic material by acquiring gen duplications and amplifications (GDA). Exemplarily an improved gene dosage of a minor resistance determinant can lead to increased resistance to antibiotics. Due to the difficulties in their detection GDAs are almost exclusively studied in model organisms and neglected in natural populations of clinically relevant species such as Staphylococcus aureus. Accordingly many important questions about the frequency and clinical importance of GDAs remain unanswered. State of the art sequencing technologies enable the identification of GDAs by analysis of the coverage scaffold and groundbreaking experiments using 387 USA300 genome sequences showed promising results regarding putative copy number variation of virulence factors. We will extend the GDA analysis to ca. 1200 already available EMRSA15 sequences. This will enable a comprising analysis of gen copy number variation in clinical isolates and might allow identifying genomic regions under strong evolutionary pressure during infection. We will optimize experimental setups for the rapid validation of GDAs by qPCR and develop techniques to study the effects of GDAs in S. aureus. Furthermore we will sequence a selection ca. 70 S. aureus isolates causing chronic infections in patients suffering from cystic fibrosis (CF). This will enable us to optimize the detection of GDAs by NGS and will allow investigating the role of GDAs during adaption to the complex environment within the CF-lung. This project will show new avenues to extract additional valuable biological information from NGS data and will investigate the importance of GDAs during the adaption of S. aureus to the hospital setting and to the CF-lung.

 Publications

year authors and title journal last update
List of publications.
2016 Simon Heilbronner, Ian R. Monk, Jeremy R. Brozyna, David E. Heinrichs, Eric P. Skaar, Andreas Peschel, Timothy J. Foster
Competing for Iron: Duplication and Amplification of the isd Locus in Staphylococcus lugdunensis HKU09-01 Provides a Competitive Advantage to Overcome Nutritional Limitation
published pages: e1006246, ISSN: 1553-7404, DOI: 10.1371/journal.pgen.1006246
PLOS Genetics 12/8 2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GDA IN STAPHYLOCOCCI" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GDA IN STAPHYLOCOCCI" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

FOCUSIS (2020)

Focal volume Control Using Structured Illumination Sources

Read More  

ToMComputations (2019)

How other minds are represented in the human brain: Neural computations underlying Theory of Mind

Read More  

DiMaS (2019)

Retrospective genomic analyses of shortfin Mako shark (Isurus oxyrinchus) using DNA from archived jaws

Read More