Publication details
Measurements of genomic GC content in plant genomes with flow cytometry: a test for reliability
| Basic information | |
|---|---|
| Original title: | Measurements of genomic GC content in plant genomes with flow cytometry: a test for reliability |
| Authors: | Petr Šmarda, Petr Bureš, Jakub Šmerda, Lucie Horová |
| Further information | |
|---|---|
| Citation: | ŠMARDA, Petr, Petr BUREŠ, Jakub ŠMERDA and Lucie HOROVÁ.
Measurements of genomic GC content in plant genomes with flow
cytometry: a test for reliability. New Phytologist, New
Phytologist Trust, 2012, vol. 193, No 2, p. 513 -521. ISSN
0028 -646X. doi:10.1111/j.1469 -8137.2011.03942.x.Export BibTeX |
| Original language: | English |
| Field: | Botany |
| WWW: | stránka s abstraktem a pdf |
| Type: | Article in Periodical |
| Keywords: | DNA base composition; flow cytometry; GC content; plant genomes; temperature DNA melting |
Knowledge of phylogenetic pattern and biological relevance of the base composition of large eukaryotic genomes (including plants) is poor. With the use of flow cytometry (FCM), the available data on the GC content in plants have nearly doubled in the last decade. However, skepticism exists concerning the reliability of the method because of uncertainty in some input parameters. Here, we tested the reliability of FCM for estimating the GC content by comparison with the biochemical method of DNA melting temperature analysis (TMA). We conducted measurements in 14 plant species with a maximum currently known GC content range (33.6–47.5%; FCM). We also compared the estimations of the GC content by FCM with genomic sequences in 11 Oryza species. FCM and TMA data exhibited a high degree of correspondence that remained stable over the relatively wide range of binding lengths (3.39–4.09) assumed for the base-specific dye used. A high correlation was also observed between FCM and the sequence data in Oryza, although the latter were consistently lower. Reliable estimates of the genomic base composition in plants by FCM are comparable with other alternative methods, and its wider application poses a challenge for future plant genomic research.
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