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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.

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

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
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name: n.a.
surname: n.a.
function: n.a.
email: n.a.
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 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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