Evaluation of Genetic Diversity of Sugar Beet (Beta vulgaris L.) Crossing Parents Using Agro-morphological Traits and Molecular Markers

Authors
1 Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran
2 1Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran
3 1Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran.
Abstract
Eight pollinators (as pollen parents) and four CMS lines (as seed parents) differing in salinity and drought tolerance were evaluated using agro-morphological traits and microsatellite markers. Root yield, leaf weight, sugar content, sodium content (Na+), potassium content (K+), a-amino nitrogen content, alkalinity coefficient, molasses sugar, white sugar content, extraction coefficient of sugar, dry matter, sugar yield, and white sugar yield were evaluated. The genetic diversity of 14 individual plants within each parent (a total of 168 genotypes) was also assessed using 18 microsatellite (SSR) markers. The results showed that 43 and 32.6% of the total variation in agro-morphological traits could be explained by the first 2 principal components, which could discriminate salinity and drought tolerant parents. Based on SSR analysis, a total number of 104 alleles were detected with an average number of 5.7 alleles per primer pair and an average polymorphism information content (PIC) of 0.64 with the highest PIC belonging to EST-SSR FDSB502. Cluster analysis based on SSR markers clearly discriminated 112 plants belonging to pollen parents from 56 plants of seed parents. In conclusion, the SSR markers have been shown to be efficient and reliable for assessing genetic diversity in sugar beet crossing parents.

Keywords


1. Ahmadi, M., Majidi Heravan, E., Sadeghian, S. Y., Mesbah, M. and Darvish, F. 2011. Drought Tolerance Variability in S1 Pollinator Lines Developed from a Sugar Beet Open Population. Euphytica., 178: 339-349.
2. Andersen, N. S., Siegismund, H. R., Meyer, V. and Jorgensen, R. B. 2005. Low Level of Gene Flow from Cultivated Beets (Beta vulgaris L. ssp vulgaris) into Danish Populations of Sea Beet (Beta vulgaris L. ssp. maritima (L.) Arcangeli). Mol. Ecol., 14: 1391–1405.
3. Arnaud, J. F., Fénart, S., Gode, C., Deledicque, S., Touzet, P. and Cuguen, J. 2009. Fine-Scale Geographical Structure of Genetic Diversity in Inland Wild Beet Populations. Mol. Ecol., 18: 3201-3215.
4. Arnaud, J. F., Viard, F., Delescluse, M. and Cuguen, J. 2003. Evidence for Gene Flow via Seed Dispersal from Crop to Wild Relatives in Beta vulgaris (Chenopodiaceae): Consequences for The Release of Genetically Modified Crop Species with Weedy Lineages. Proc. R. Soc. Lond., 1524: 1565–1571.
5. Barzen, E., Mechelke, W., Ritter, E., Schulte-Kappert, E. and Salamini, F. 1995. An Extended Map of the Sugar Beet Genome Containing RFLP and RAPD Loci. Theor. Appl. Genet., 90: 189-193.
6. Biancardi, E., McGrath, J. M., Panella, L. W., Lewellen, R. T. and Stevanato, P. 2010. Sugar Beet In: "Root and Tuber Crops", (Ed.): Bradshaw, J. E.. Handbook of Plant Breeding, Dordrecht Heidelberg London, New York, PP. 173-221.
7. Burton, G. and De Vane, E. H. 1953. Estimating Heritability in Tall Fescue (Festuca arundinacea) from Replicated Clonal Material. Agron. J., 45: 478-481.
8. Cureton, A. N., Burns, M. J., Ford-Lloyd, B. V. and Newbury, H. J. 2002. Development of Simple Sequence Repeat (SSR) Markers for the Assessment of Gene Flow between Sea Beet (Beta vulgaris ssp. maritima) Populations. Mol. Ecol. Notes., 2 (4): 402-403.
9. De los Reyes, B. G. and McGrath, J. M. 2003. Cultivar-Specific Seedling Vigor and Expression of a Putative Oxalate Oxidase Germin-Like Protein in Sugar Beet (Beta vulgaris L.). Theor. Appl. Genet., 107:54-61.
10. De Riek, J., Calsyn, E., Evereaert, I. and Van Bockstaele, E. 2001. AFLP Based Alternatives for the Assessment of Distinctness, Uniformity and Stability of Sugar Beet Varieties. Theor. Appl. Genet., 103: 1254-1265.
11. De Riek, J., Everaert, I., Esselink, D., Calsyn, E., Smulders, M. J. M. and Vosman, B. 2007. Assignment Tests for Variety Identification Compared to Genetic Similarity-based Methods using Experimental Datasets from Different Marker Systems in Sugar Beet. Crop Sci., 47: 1964-1974.
12. Desplanque, B., Boudry, P., Broomberg, K., Saumitou-Laprade, P., Cuguen, J. and Van Dijk, H. 1999. Genetic Diversity and Gene Flow between Wild, Cultivated and Weedy Forms of Beta vulgaris L. (Chenopodiaceae), Assessed by RFLP and Microsatellite Markers. Theor. Appl. Genet., 98: 1194-1201.
13. Draycott, A. P. 2006. Introduction. In: "Sugar Beet", (Ed.): Draycott, A. P.. Oxford, lackwell Publishing Ltd, UK, PP. 1-8.
14. Excoffier, L., Laval, G. and Schneider, S. 2005. Arlequin ver. 3.0: An Integrated Software Package for Population Genetics Data Analysis. Evol. Bioinform. Online., 1: 47-50.
15. Fénart, S., Arnaud, J., Cauwer, I. D. and Cuguen, J. 2008. Nuclear and Cytoplasmic Genetic Diversity in Weed Beet and Sugar Beet Accessions Compared to Wild Relatives: New Insights into the Genetic Relationships Within the Beta vulgaris Complex Species. Theor. Appl. Genet., 116: 1063-1077.
16. Fernandez, G. C. J. 1993. Effective Selection Criteria for Assessing Plant Stress Tolerance. In: "Adaptation of Food Crops to Temperature and Water Stress", (Ed.): Kue, C. G.. AVRDC, Shanhua. Taiwan.
17. Fievet, V., Touzet, P., Arnaud, J. -F. and Cuguen, J. 2007. Spatial Analysis of Nuclear and Cytoplasmic DNA Diversity in Wild Sea Beet (Beta vulgaris ssp maritima) Populations: Do Marine Currents Shape the Genetic Structure? Mo.l Ecol., 16: 1847-1864.
18. Hoffmann, C. M. 2010. Root Quality of Sugarbeet. Sugar Tech., 12: 276-287.
19. ICUMSA. 2003. The Determination of the Polarisation of Sugar Beet by the Macerator or Cold Aqueous Digestion Method Using Luminium Sulphate as Clarifying Agent-official. In: "Methods Book: Method GS6-3". International Commission for Uniform Methods of Sugar Analysis, Colney, England.
20. Izadi-Darbandi, A., Bahmani, K., Ramshini, H. A. and Moradi, N. 2013. Heritability Estimates of Agronomic Traits and Essential Oil Content in Iranian Fennels. J. Agr. Sci. Tech., 15:1275-1283.
21. Jones, P. D., Lister, D. H., Jaggard, K. W. and Pidgeon, J. D. 2003. Future Climate Change Impact on the Productivity of Sugar Beet (Beta vulgaris L.) in Europe. Clim. Chang., 58: 93-108.
22. Kandemir, N., Yıldırım, A. and Gündüz, R. 2010. Determining the Levels of Genetic Variation using SSR Markers in Three Turkish Barley Materials Known as Tokak. Turk. J. Agric. For., 34: 17-23.
23. Kraft, T., Hansen, M. and Nilsson, N.-O. 2000. Linkage Disequilibrium and Fingerprinting in Sugar Beet. Theor. Appl. Genet., 101: 323-326
24. Laurent, V., Devaus, P., Thiel, T., Viard, F., Mielordt, S., Touzet, P. and Quillet, M. C. 2007. Comparative Effectiveness of Sugar Beet Microsatellite Markers Isolated from Genomic Libraries and GenBank ESTs to Map the Sugar Beet Genome. Theor. Appl. Genet., 115: 793-805.
25. Li, J., Schulz, B. and Stich, B. 2010. Population Structure and Genetic Diversity in Elite Sugar Beet Germplasm Investigated with SSR Markers. Euphytica., 175: 35-42.
26. Liu, H., Wang, Q., Yu, M., Zhang, Y., Wu, Y. and Zhang, H. 2008. Transgenic Salt-Tolerant Sugar Beet (Beta vulgaris L.) Constitutively Expressing an Arabidopsis Thaliana Vacuolar Na+/H+ Antiporter Gene, AtNHX3, Accumulates more Soluble Sugar but Less Salt in Storage Roots. Plant Cell Environ., 31: 1325-1334.
27. McGrath, J. M., Derrico, C. A. and Yu, Y. 1999. Genetic Diversity in Selected, Historical US Sugar Beet Germplasm and Beta vulgaris ssp. maritima. Theor. Appl. Genet., 98: 968-976
28. McGrath, J. M., Trebbi, D., Fenwick, A., Panella, L., Schulz, B., Laurent, V., Barnes, S. and Murray, S. C. 2007. An Open-Source First-Generation Molecular Genetic Map from a Sugar Beet×Table Beet Cross and its Extension to Physical Mapping. Crop Sci., 47: 27-44.
29. Murray, M. G. and Thompson, W. F. 1980. Rapid Isolation of High Molecular Weight Plant DNA. Nucl. Acid Res., 8: 4321-4326.
30. Ober, E. S., Clark, C. J. A., Bloa, M. L., Royal, A., Jaggard, K. W. and Pidgeon, J. D. 2004. Assessing the Genetic Resources to Improve Drought Tolerance in Sugar Beet: Agronomic Traits of Diverse Genotypes under Droughted and Irrigated Conditions. Field Crop Res., 90: 213-234.
31. Ober, E. S. and Rajabi, A. 2010. Abiotic Stress in Sugar Beet. Sugar Tech., 12(3-4): 294-298.
32. Paran, I. and Michelmore, R. W. 1993. Development of Reliable PCR-based Markers Linked to Downy Mildew Resistance Genes in Lettuce. Theor. Appl. Genet., 85: 985-993.
33. Parida, S. K., Kalia, S. K., Sunita, K., Dalal, V., Hemaprabha, G., Selvi, A., Pandit, A., Singh, A., Gaikwad, K., Sharma, T. R., Srivastava, P. S., Singh, N. K. and Mohapatra, T. 2009. Informative Genomic Microsatellite Markers for Efficient Genotyping Applications in Sugarcane. Theor. Appl. Genet., 118: 327-338.
34. Rae, S. J., Aldam, C., Dominguez, I., Hoebrechts, M., Barnes, S. R. and Edwards, K. J. 2000. Development and Incorporation of Microsatellite Markers into the Linkage Map of Sugar Beet (Beta vulgaris L.). Theor. Appl. Genet., 100: 1240-1248.
35. Reinefeld, E., Emmerich, A., Baumgarten, G., Winner, C. and Beiß, U. 1974. Zur Voraussage des Melassezuckers aus Rübenanalysen. Zucker., 27: 2-15.
36. Richards, C. M., Brownson, M., Mitchell, S. E., Kresovich, S. and Panella, L. E. 2004. Polymorphic Microsatellite Markers for Inferring Diversity in Wild and Domesticated Sugar Beet (Beta vulgaris L.). Mol. Ecol. Notes., 4: 243-245.
37. Sadeghian, S. Y. and Johansson, E. 1993. Genetic Study of Bolting and Stem Length in Sugar Beet (Beta vulgaris L.) Using a Factorial Cross Design. Euphytica., 65: 177-185.
38. SAS Institute. 2001. SAS: STAT User’s Guide: Statistics. NC StateUniv. Press. Cary, NC. [8.02], SAS Institute, Cary, NC.
39. Schneider, K., Borchardt, D. C., Schafer-Pregl, R., Nagl, N., Glass, C., Jeppsson, A., Gebhardt, C. and Salamini, F. 1999. PCR-based Cloning and Segregation Analysis of Functional Gene Homologues in Beta vulgaris. Mol. Gen. Genet., 262: 515-524.
40. Schneider, K., Schäfer-Pregl, R., Borchardt, D. C. and Salamini, F. 2002. Mapping QTLs for Sucrose Content, Yield and Quality in a Sugar Beet Population Fingerprinted by EST-related Markers. Theor. Appl. Genet., 104: 1107-1113.
41. Schondelmaier, J., Steinrücken, G. and Jung, G. 1996. Integration of AFLP Markers into a Linkage Map of Sugar Beet (Beta vulgaris L.). Plant Breed., 115: 231-237.
42. Schuelke, M. 2000. An Economic Method for the Fluorescent Labeling of PCR Fragments. Nature Biotech., 18: 233-234.
43. Schumacher, K., Schondelmaier, J., Barzen, E., Steinrücken, G., Borchardt, D., Weber, W. E., Jung, C. and F., S. 1997. Combining Different Linkage Maps in Sugar Beet (Beta vulgaris L.) to Make One Map. Plant Breed., 116: 23-38.
44. Singh, S. P., Gutiérrez, J. J. A., Molina, A., Urrea, C. and Gepts, P. 1991. Genetic Diversity in Cultivated Common Bean. II. Marker-based Analysis of Morphological and Agronomic Traits. Crop Sci., 31: 23-29.
45. Smulders, M. J. M., Esselink, G. D., Everaert, I., Riek, J. D. and Vosman, B. 2010. Characterisation of Sugar Beet (Beta vulgaris L. ssp.vulgaris) Varieties Using Microsatellite Markers. BMC Genetics., 11: 41-52.
46. van Geyt, J. P. C., Lange, W., Oleo, M. and de Bock, T. S. M. 1990. Natural Variation within the Genus Beta and Its Possible Use for Breeding Sugar Beet: A Review. Euphytica. 49: 57-76.
47. Viard, F., Arnaud, J. F., Delescluse, M. and Cuguen, J. 2004. Tracing Back Seed and Pollen Flow within the Crop-wild Beta vulgaris Complex: Genetic Distinctiveness vs. Hot Spots of Hybridization over a Regional. Scale. Mol. Ecol., 13: 1357-1364.
48. Viard, F., Bernard, J. and Desplanque, B. 2002. Crop-weed Interactions in the Beta vulgaris Complex at a Local Scale: Allelic Diversity and Gene Flow within Sugar Beet Fields. Theor. Appl. Genet., 104: 688-697.
49. Weir, B. S. and Cockerham, C. C. 1984. Estimating F-statistics for the Analysis of Population Structure. Evolution, 38: 1358-1370.