breeding for nutritional traits in tomato using naturally
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Breeding for nutritional traits in tomato using naturally occurring variation in the fruit specific beta-cyclase promoter Caleb Orchard, David Francis Ph.D. Kopec et al. 2012 Carotenoids in Tomato B Ronen et al. 2010 Does variation in the


  1. Breeding for nutritional traits in tomato using naturally occurring variation in the fruit specific beta-cyclase promoter Caleb Orchard, David Francis Ph.D.

  2. Kopec et al. 2012

  3. Carotenoids in Tomato

  4. B Ronen et al. 2010

  5. Does variation in the promoter of the B gene lead to different levels of beta-carotene in tomato fruit?

  6. Does variation in the promoter of the B gene lead to different levels of beta-carotene in tomato fruit? Sources of variation Juane Flammee – S. lycopersicum LA716 – S. pennellii 97L97 – S. cheesmanii John R. Stommel. HortScience April 2001 vol. 36 no. 2 387-388

  7. Promoter Variation

  8. Promoter Variation

  9. Promoter Variation 2010 Dalal et al., BMC Plant Biology 2010, 10 :61

  10. Population Development Donor Recurrent Recurrent Parent • OH8245 Donor Parents BC1 • LA3501 (M-82) BC2 • LA3502 (M-82) • Juane Flammee BC3 Y. Eshed and D. Zamir. Genetics. 1995 November; 141(3): 1147–1162.

  11. SolCA lCAP SNP A Array rray Sim S-C, Van Deynze A, Stoffel K, Douches DS, et al. (2012) High-Density SNP Genotyping of Tomato (Solanum lycopersicum L.) Reveals Patterns of Genetic Variation Due to Breeding. PLoS ONE 7(9): e45520. doi:10.1371/journal.pone.0045520 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045520

  12. Marker Selection

  13. Marker Selection

  14. Marker Selection

  15. Marker Selection

  16. MAS

  17. Distribution of Progeny vs. % Recurrent Genome in BC1 Average RP Genome # of Progeny 75.50% Population 1 74.45% Population 2 76.00% Population 3 Selections: 84.9 – 89.6% (a generation ahead) % Recurrent Parent Genome

  18. Future work / BC2

  19. Conclusions Multiple versions of fruit-specific beta-cyclase promoter Marker resources allow us to distinguish genetic backgrounds (M82 vs. OH8245, JF vs. OH8245) BGS facilitates selection of individuals one generation “ahead” each cycle

  20. Plant Genetic Resources for Human Health and Nutrition Research

  21. Acknowledgements Ohio State Michigan State • • – David Francis – David Douches – Steven Schwartz – Robin Buell – Sung-Chur Sim – John Hamilton – Heather Merk – Nancy Huarachi – Dan Zarka – Troy Aldrich – Kelly Zarka – Cassi Sewell Cornell – Rachel Kopec • – Jessica Cooperstone – Walter De Jong – Lucas Mueller UC-Davis USDA-Beltsville • • – Allen Van Deynze – John Stommel – Kevin Stoffel – Alex Kozic

  22. Thank you

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