IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-45723-9_10.html
   My bibliography  Save this book chapter

Hybridization-Based Enrichment and Next Generation Sequencing to Explore Genetic Diversity in Plants

In: Dynamics of Mathematical Models in Biology

Author

Listed:
  • Irma Terracciano

    (Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Centro di ricerca per l’orticoltura)

  • Concita Cantarella

    (Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Centro di ricerca per l’orticoltura)

  • Nunzio D’Agostino

    (Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Centro di ricerca per l’orticoltura)

Abstract

In plant research, targeted re-sequencing of enriched genomic DNA regions has become a scalable and cost-effective method for the discovery of genome-wide sequence variations to be exploited to address different biological questions. In this manuscript, we describe the main strategies to reduce genome complexity in plants with a special focus on hybridization-based enrichment methods. Then, we provide an overview of applications of target enrichment-based next generation sequencing (NGS) protocols in plant genetics and illustrate major bioinformatic approaches and tools for the analysis of NGS data, the identification of sequence polymorphisms, and their annotation to predict possible biological effects. Finally, we introduce our research activity on the use of hybridization-based target enrichment system for the identification of interesting sequence variations at candidate genes controlling carotenoid biosynthesis in tomato.

Suggested Citation

  • Irma Terracciano & Concita Cantarella & Nunzio D’Agostino, 2016. "Hybridization-Based Enrichment and Next Generation Sequencing to Explore Genetic Diversity in Plants," Springer Books, in: Alessandra Rogato & Valeria Zazzu & Mario Guarracino (ed.), Dynamics of Mathematical Models in Biology, pages 117-136, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-45723-9_10
    DOI: 10.1007/978-3-319-45723-9_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-45723-9_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.