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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.

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

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.
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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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