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07/18/2023 12:06

FBN launches an app for visualising the bovine physical-genetic map

Isabel Haberkorn Presse- und Öffentlichkeitsarbeit
Forschungsinstitut für Nutztierbiologie (FBN)

    The Research Institute for Farm Animal Biology (FBN) presents a new app called "CLARITY", which enables an interactive visualisation of the bovine physical-genetic map. The tool is available from now on.

    Physical maps are created in genome research to illustrate how the genetic information is arranged on individual chromosomes. In addition, genetic maps show the probability with which genetic variants can be transmitted together from one parent to an offspring. High-resolution genetic maps have many applications in science: They help in statistical analyses to find genetic variants that are related to certain performance or health traits. They can also be used to calculate how closely animals are related to each other and how large the reproductive population is. This is precisely why genetic maps are relevant not only for research, but also for animal breeding and the management of livestock populations. Genetic maps are indispensable for developing modern breeding strategies and maintaining an animal resource to ensure genetic diversity. Based on extensive data from German Holstein cattle and German/Austrian Fleckvieh cattle, the Research Institute for Farm Animal Biology (FBN) has developed a platform that allows users to interactively explore the combined physical-genetic map of these cattle breeds.

    Interactive CLARITY app is a valuable tool for education and research

    By continuously integrating data from different cattle breeds, the app also enables their comparison and visualises genetic diversity. CLARITY is thus a valuable tool for education and research on cattle genomes and is open for expansion to include other animal species.Through an intuitively designed user interface, users can select and customise individual features with simple clicks.The results can be downloaded in common formats and used free of charge (licence CC-BY 4.0).

    "The app is not a static catalogue of information. It offers the user unique possibilities to think their way into the genetic maps according to their own ideas. For example, genome areas can be selected or interesting regions with a higher chance of recombining genetic variants can be enlarged," explains Dr Dörte Wittenburg, who developed the app in collaboration with an international team of scientists at FBN. "The cattle breeding associations were immediately convinced by this project and provided genetic data from hundreds of thousands of animals, so the results have a high degree of accuracy," Dr Dörte Wittenburg elaborates. The numerous features of the app are described in a paper that has been published in the journal Frontiers in Genetics.

    Forschungsinstitut für Nutztierbiologie (FBN)
    Wilhelm-Stahl-Allee 2, 18196 Dummerstorf
    Vorstand Prof. Dr. Klaus Wimmers
    T +49 38208-68 600
    E wimmers@fbn-dummerstorf.de

    Abteilung Statistische Methoden in der Genomik
    Leiterin PD Dr. Dörte Wittenburg
    T +49 38208-68 930
    E wittenburg@fbn-dummerstorf.de

    Presse- und Öffentlichkeitsarbeit Isabel Haberkorn
    T +49 38208-68 605
    E haberkorn@fbn-dummerstorf.de
    http://www.fbn-dummerstorf.de
    LinkedIn: @forschungsinstitut-nutztierbiologie-fbn
    Twitter: @FBNDummerstorf
    Instagram: @forschungsinstitut_fbn


    Contact for scientific information:

    Abteilung Statistische Methoden in der Genomik
    Leiterin PD Dr. Dörte Wittenburg
    T +49 38208-68 930
    E wittenburg@fbn-dummerstorf.de


    Original publication:

    https://doi.org/10.3389/fgene.2023.1082782
    Cooperation partners: vit w.V. Verden and FBF Bonn, Zuchtdata Vienna
    Funding: BMBF FKZ 031L0166


    Images

    Cattle breeding can be optimized with the CLARITY app.
    Cattle breeding can be optimized with the CLARITY app.
    Photo: Manuela Reichelt/FBN
    FBN


    Criteria of this press release:
    Journalists, Scientists and scholars
    Biology, Environment / ecology, Information technology, Zoology / agricultural and forest sciences
    transregional, national
    Research results
    English


     

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