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Annals of Botany 83: 687-695, 1999
© 1999 Annals of Botany Company

Genome Size inAllium: In Quest of Reproducible Data

MONIKA BARANYI and JOHANN GREILHUBER+

Institute of Botany, University of Vienna, Rennweg 14, A-1030, Vienna, Austria

August 13, 1998 ; November 6, 1998 . February 25, 1999

ComparingAlliumgenome size measurements of different authors, we noticed that the estimates for certain species diverge more strongly than one would have expected in view of the methodological advantages of the material. As the matter has theoretical significance for explaining the biological role of genome size variation, we measured, by Feulgen densitometry, 28 species and altogether 57 accessions or cultivars. Flow cytometric measurements supplemented these data. The current hypothesis of a discontinuous and step-wise distribution of DNA amounts inAlliumseems questionable, as most of our DNA values did not appear in the corresponding DNA group as proposed previously. On the other hand, we can confirm that there is a significant negative correlation between genome size of a species and its first month of flowering, but only in diploids, or in diploids and polyploids if only the basic genome size (2Cxlevel) is considered. We compared our results with those of nine other publications. Only 29 of 60 2C values published previously deviate less than 10% from our data, the others deviate more strongly, from 0.44- to 1.44-fold. The more comprehensive data sets of various authors were compared by correlation analysis with our data. Positive and mostly significant correlations were seen in all tests, but nevertheless the degree of incongruence between studies was unsatisfactory in view of the much better intra-laboratory reproducibility of the present data. The present work highlights the need for generally agreed improvements in standardization and preparative procedures of cytophotometric genome size determination.Copyright 1999 Annals of Botany Company

Allium, genome size, Feulgen densitometry, flow cytometry, discontinuous DNA content variation, nucleotype hypothesis, flowering time, data reproducibility, correlation analysis.


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