Theoretical and Applied Genetics

, Volume 115, Issue 6, pp 793–805

Comparative effectiveness of sugar beet microsatellite markers isolated from genomic libraries and GenBank ESTs to map the sugar beet genome

  • V. Laurent
  • P. Devaux
  • T. Thiel
  • F. Viard
  • S. Mielordt
  • P. Touzet
  • M. C. Quillet
Original Paper

DOI: 10.1007/s00122-007-0609-y

Cite this article as:
Laurent, V., Devaux, P., Thiel, T. et al. Theor Appl Genet (2007) 115: 793. doi:10.1007/s00122-007-0609-y

Abstract

Sugar beet (Beta vulgaris) is an important root crop for sucrose production. A study was conducted to find a new abundant source of microsatellite (SSR) markers in order to develop marker assistance for breeding. Different sources of existing microsatellites were used and new ones were developed to compare their efficiency to reveal diversity in mapping population and mapping coverage. Forty-one microsatellite markers were isolated from a B. vulgaris ssp maritima genomic library and 201 SSRs were extracted from a B. vulgaris ssp vulgaris library. Data mining was applied on GenBank B. vulgaris expressed sequence tags (ESTs), 803 EST-SSRs were identified over 19,709 ESTs. Characteristics, polymorphism and cross-species transferability of these microsatellites were compared. Based on these markers, a high density genetic map was constructed using 92 F2 individuals from a cross between a sugar and a table beet. The map contains 284 markers, spans over 555 cM and covers the nine chromosomes of the species with an average markers density of one marker every 2.2 cM. A set of markers for assignation to the nine chromosomes of sugar beet is provided.

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • V. Laurent
    • 1
    • 3
  • P. Devaux
    • 1
  • T. Thiel
    • 2
  • F. Viard
    • 4
    • 5
  • S. Mielordt
    • 2
  • P. Touzet
    • 4
  • M. C. Quillet
    • 3
  1. 1.Laboratoire de BiotechnologiesEts Florimond DesprezCappelle-en-PévèleFrance
  2. 2.Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)GaterslebenGermany
  3. 3.Laboratoire «Stress abiotiques et différenciation des végétaux», UMR INRA 1281Université des Sciences et Technologies de LilleVilleneuve d’Ascq cedexFrance
  4. 4.Laboratoire de Génétique et Evolution des Populations Végétales, UMR CNRS 8016Université des Sciences et Technologies de LilleVilleneuve d’Ascq cedexFrance
  5. 5.Laboratoire «Adaptation et Diversité en Milieu Marin», UMR CNRS-UPMC 7144Station Biologique de RoscoffRoscoff cedexFrance