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Clonal Identification Based on Quantitative, Codominant, and Dominant Marker Data : A Comparative Analysis of Selected Willow (Salix L.) Clones
Author
Source
International Journal of Forestry Research
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-10-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Clonal identification in forestry may employ different means, each with unique advantages.
A comparative evaluation of different approaches is reported.
Nine quantitative leaf morphometric parameters, 15 variable codominant (isoenzyme) and 15 variable dominant (RAPD) loci, were used.
All clones presented unique multilocus isoenzyme genotypes and 86% presented unique multilocus RAPD genotypes.
Quantitative, isoenzyme and molecular data were subjected to principal component analysis, the latter two data sets after vector transformation.
Most of the variability (quantitative 99%, isoenzyme 72.5%, RAPD 89%) was accounted for in the first three axes.
This study has shown: (1) individual quantitative parameters were inefficient for clonal identification, (2) multilocus clonal identification was successful, (3) dominant markers were more polymorphic than codominant ones: 1.5 variable loci per enzyme system, 7.5 variable RAPD loci per primer, (4) 15 codominant marker loci could identify about 2.8 times more individuals than 15 dominant ones, but this advantage is surpassed when 42 dominant loci are employed, (5) multivariate analysis of morphological, codominant and dominant genetic data could not discriminate at the clonal level.
It was concluded that due to their higher number of loci available dominant markers perform better than codominant ones, despite the higher informativeness of the latter.
American Psychological Association (APA)
Aravanopoulos, F. A.. 2010. Clonal Identification Based on Quantitative, Codominant, and Dominant Marker Data : A Comparative Analysis of Selected Willow (Salix L.) Clones. International Journal of Forestry Research،Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-507001
Modern Language Association (MLA)
Aravanopoulos, F. A.. Clonal Identification Based on Quantitative, Codominant, and Dominant Marker Data : A Comparative Analysis of Selected Willow (Salix L.) Clones. International Journal of Forestry Research No. 2010 (2010), pp.1-8.
https://search.emarefa.net/detail/BIM-507001
American Medical Association (AMA)
Aravanopoulos, F. A.. Clonal Identification Based on Quantitative, Codominant, and Dominant Marker Data : A Comparative Analysis of Selected Willow (Salix L.) Clones. International Journal of Forestry Research. 2010. Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-507001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507001