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Bioinformatics4Breeding SIGNED

Harnessing the power of bioinformatic analysis to improve genetic selection for fertility in dairy cows

Total Cost €

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EC-Contrib. €

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Partnership

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 Bioinformatics4Breeding project word cloud

Explore the words cloud of the Bioinformatics4Breeding project. It provides you a very rough idea of what is the project "Bioinformatics4Breeding" about.

royal    economia    conserved    transfer    expertise    coding    scientists    infertility    groups    larkin    longlasting    snp    supplement    industry    met    polymorphisms    found    fertility    ricerca    la    culling    dell    train    genetic    regulatory    cattle    cow    networks    regions    candidate    rvc    breeding    senior    researcher    detection    phenotypic    mobility    decreasing    events    tools    cows    reversed    dc    agraria    beneficial    genes    back    genomic    molecular    gene    incoming    wathes    crea    breed    longevity    dna    combines    animal    genotyping    she    datasets    genic    larger    bioinformatics    agricoltura    efficiency    committed    closely    italy    analisi    dr    college    buggiotti    return    reducing    influence    uk    dairy    professor    containing    expression    recommend    trend    genome    genetics    farm    variants    fertile    genomics    phenotypes    evolutionary    appropriate    consiglio    sustainability    dm    reproductive    veterinary    data    function    yielding    selective    understand    alongside    highlight   

Project "Bioinformatics4Breeding" data sheet

The following table provides information about the project.

Coordinator
THE ROYAL VETERINARY COLLEGE 

Organization address
address: ROYAL COLLEGE STREET
city: LONDON
postcode: NW1 OTU
website: www.rvc.ac.uk

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 United Kingdom [UK]
 Project website https://www.rvc.ac.uk/Media/Default/staff/files/lbuggiotti-publishable-summary-mariecurie-lb.pdf
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2018-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE ROYAL VETERINARY COLLEGE UK (LONDON) coordinator 195˙454.00

Map

 Project objective

Genetic selection for high yielding dairy cows has been associated with reduced fertility. Infertility remains the major reason for culling, decreasing longevity and reducing production efficiency. We propose that this trend could be reversed by identifying key genes involving reproductive function and selective breeding of more longlasting cows. The specific research objectives are: 1) to train the incoming researcher in bioinformatics methodologies related to analysis of large genomic datasets including SNP detection, genotyping, and evolutionary conserved DNA elements detection; 2) to use the methodologies to analyse dairy phenotypic and genomic data to highlight potential genic and regulatory regions of the cattle genome containing polymorphisms which are beneficial, with a particular focus on fertility; 3) to use appropriate tools to investigate the likely effects of both coding and regulatory variants on the expression of the candidate genes found in these regions; 4) to use pathway analysis to understand how the candidate genes may influence key molecular events and larger gene networks involved in reproductive phenotypes; 5) to recommend appropriate selection procedures to the EU dairy breeding industry to supplement current genomic methods. The project combines the expertise of Consiglio per la Ricerca in Agricoltura e l’analisi dell’Economia agraria, Italy (CREA) and the Royal Veterinary College, UK (RVC) in farm animal genetics and genomics and dairy cow production. The objectives will be met by the mobility of Dr L Buggiotti to the UK, where she will work closely alongside two senior RVC scientists, Dr DM Larkin and Professor DC Wathes. She will transfer this expertise back to CREA on her return. Both groups are experienced in knowledge transfer to the dairy industry and are committed to use the information generated to breed more fertile cows, so improving longevity and promoting sustainability of the EU dairy industry.

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The information about "BIOINFORMATICS4BREEDING" are provided by the European Opendata Portal: CORDIS opendata.

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