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Genetic structure and diversity of a collection of Brassica rapa subsp. rapa L. revealed by simple sequence repeat markers

Published online by Cambridge University Press:  24 February 2011

P. SOENGAS ,
M. E. CARTEA ,
M. FRANCISCO ,
M. LEMA  and
P. VELASCO
P. SOENGAS*
Affiliation:
Misión Biológica de Galicia (CSIC), PO Box 28, E-36080·Pontevedra, Spain
M. E. CARTEA
Affiliation:
Misión Biológica de Galicia (CSIC), PO Box 28, E-36080·Pontevedra, Spain
M. FRANCISCO
Affiliation:
Misión Biológica de Galicia (CSIC), PO Box 28, E-36080·Pontevedra, Spain
M. LEMA
Affiliation:
Misión Biológica de Galicia (CSIC), PO Box 28, E-36080·Pontevedra, Spain
P. VELASCO
Affiliation:
Misión Biológica de Galicia (CSIC), PO Box 28, E-36080·Pontevedra, Spain
*
*To whom all correspondence should be addressed. Email: psoengas@mbg.cesga.es
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Summary

Brassica rapa subsp. rapa L. includes three different crops: turnips (roots), turnip greens (leaves) and turnip tops (inflorescences). A collection of B. rapa subsp. rapa from north-western Spain is currently kept at ‘Misión Biológica de Galicia’ (a research centre of the Consejo Superior de Investigaciones Científicas (CSIC), Spain). This collection has been characterized based on morphological and agronomical traits. A better understanding of the genetic diversity present in the collection is necessary in order to optimize its use and maintenance. The objectives of the present work were to assess the genetic diversity present in the B. rapa subsp. rapa collection, to establish genetic relationships among populations and to study the genetic structure of the collection. Eighty populations were analysed based on 18 simple sequence repeats (SSRs). Populations showed a broad range of genetic diversity, thus offering good potential for further genetic improvement. Most of the variability was found within the population level, probably due to high rates of allogamy, to migration and/or interchange of seed among local growers. Populations showed a low level of differentiation, grouping in just one cluster, and therefore they can be considered as samples of a highly variable metapopulation that can be used for B. rapa breeding programmes.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 149 , Issue 5 , October 2011 , pp. 617 - 624
Copyright
Copyright © Cambridge University Press 2011

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References

REFERENCES

Evanno, G., Regnaut, S. & Goudet, J. (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology 14, 2611–2620.CrossRefGoogle ScholarPubMed
Excoffier, L., Smouse, P. E. & Quattro, J. M. (1992). Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131, 479–491.CrossRefGoogle ScholarPubMed
Excoffier, L., Laval, G. & Schneider, S. (2005). Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1, 47–50.Google Scholar
Fu, Y.-B. & Gugel, R. K. (2009). Genetic variability of Canadian elite cultivars of summer turnip rape (Brassica rapa L.) revealed by simple sequence repeat markers. Canadian Journal of Plant Science 89, 865–874.CrossRefGoogle Scholar
Gómez-Campo, C. & Prakash, S. (1999). Origin and domestication. In Biology of Brassica Coenospecies (Ed. Gómez-Campo, C.), pp. 33–58. Amsterdam, The Netherlands: Elsevier.CrossRefGoogle Scholar
Iniguez-Luy, F. L., Voort, A. V. & Osborn, T. C. (2008). Development of a set of public SSR markers derived from genomic sequence of a rapid cycling Brassica oleracea L. genotype. Theoretical and Applied Genetics 117, 977–985.CrossRefGoogle ScholarPubMed
Liu, Y. G. & Whittier, R. F. (1994). Rapid preparation of megabase plant DNA from nuclei in agarose plugs and microbeads. Nucleic Acids Research 22, 2168–2169.CrossRefGoogle ScholarPubMed
Lowe, A. J., Moule, C., Trick, M. & Edwards, K. J. (2004). Efficient large-scale development of microsatellites for marker and mapping applications in Brassica crop species. Theoretical and Applied Genetics 108, 1103–1112.CrossRefGoogle ScholarPubMed
Nei, M. (1973). Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Science of the United States of America 70, 3321–3323.CrossRefGoogle ScholarPubMed
Nei, M. & Li, W. H. (1979). Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of the National Academy of Science of the United States of America 76, 5269–5273.CrossRefGoogle ScholarPubMed
Novakova, K., Hamouz, P., Holec, J. & Soukup, J. (2008). Genetic diversity of Beta-complex assessed by RAPD markers. Journal of Plant Diseases and Protection 21 (Special Issue), 437–440.Google Scholar
Ofori, A., Becker, H. C. & Kopisch-Obuch, F. J. (2008). Effect of crop improvement on genetic diversity in oilseed Brassica rapa (turnip-rape) cultivars, detected by SSR markers. Journal of Applied Genetics 49, 207–212.CrossRefGoogle ScholarPubMed
Padilla, G., Cartea, M. E., Rodríquez, V. M. & Ordás, A. (2005). Genetic diversity in a germplasm collection of Brassica rapa subsp rapa L. from northwestern Spain. Euphytica 145, 171–180.CrossRefGoogle Scholar
Persson, K., Fält, A.-S. & Von Bothmer, R. (2001). Genetic diversity of allozymes in turnip (Brassica rapa L. var rapa) from the Nordic area. Hereditas 134, 43–52.CrossRefGoogle ScholarPubMed
Pritchard, J. K., Stephens, M. & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics 155, 945–959.CrossRefGoogle ScholarPubMed
Reif, J. C., Melchinger, A. E., Xia, X. C., Warburton, M. L., Hoisington, D. A., Vasal, S. K., Srinivasan, G., Bohn, M. & Frisch, M. (2003). Genetic distance based on simple sequence repeats and heterosis in tropical maize populations. Crop Science 43, 1275–1282.CrossRefGoogle Scholar
Rohlf, F. J. (1998). NTSYS-pc. Numerical Taxonomy and Multivariate Analysis System. Version 2.1. New York: EXETER software.Google Scholar
Suwabe, K., Iketani, H., Nunome, T., Kage, T. & Hirai, M. (2002). Isolation and characterization of microsatellites in Brassica rapa L. Theoretical and Applied Genetics 104, 1092–1098.CrossRefGoogle ScholarPubMed
Wright, S. (1969). Evolution and the Genetics of Populations, 2: The Theory of Gene Frequencies. Chicago, IL: University of Chicago Press.Google Scholar
Yap, I. V. & Nelson, R. J. (1996). Winboot: a Program for Performing Bootstrap Analysis of Binary Data to Determine the Confidence Limits of UPGMA-based Dendograms. Discussion Paper Series No. 14. Manila, The Philippines: IRRI.Google Scholar
Zhao, J., Wang, X., Deng, B., Lou, P., Wu, J., Sun, R., Xu, Z., Vromans, J., Koornneef, M. & Bonnema, G. (2005). Genetic relationships within Brassica rapa as inferred from AFLP fingerprints. Theoretical and Applied Genetics 110, 1301–1314.CrossRefGoogle ScholarPubMed