SSR analysis for genetic structure and diversity determination of maize local populations from former Yugoslavia territories

SSR analysis for genetic structure and diversity determination of maize local populations from... A collection of 2178 local populations from ex-Yugoslavia territories is maintained in Maize Research Institute (MRI) gene bank. These populations were characterized mainly by morphological markers. In this work, 21 local populations belonging to seven different agro-ecological groups have been subjected to SSR analysis using a DNA-pooling strategy. The objective of this work was to develop genetic fingerprints for characterization, identification and classification of the populations, as well as for estimation of their genetic diversity. Also, a DNA-pooling strategy was employed with the aim to certify if it could be applied for population analysis with SSR markers. Statistical analysis of 25 informative SSR primers revealing 224 alleles (bands) showed that the average within-population mean number of alleles was 2.55, the average values for total and within-population diversity were 0.784 and 0.502, respectively, and G ST value was 0.360. Genetic distance values calculated using Modified Rogers Distance were in the range from 0.35 to 0.60. The silver staining method of DNA used for bulked samples showed some weakness that could be overcome with a more sensitive staining method. Nevertheless, the results in this work indicate that the SSR analysis of bulks could be used for characterizing a large number of populations in gene banks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

SSR analysis for genetic structure and diversity determination of maize local populations from former Yugoslavia territories

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/lp/springer_journal/ssr-analysis-for-genetic-structure-and-diversity-determination-of-0Os010XZR7
Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2008 by Pleiades Publishing, Ltd.
Subject
Biomedicine; Microbial Genetics and Genomics; Animal Genetics and Genomics; Human Genetics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795408110100
Publisher site
See Article on Publisher Site

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