Heterochromatin study demonstrating the non‐linearity of fluorometry useful for calculating genomic base composition

A novel procedure for calculating basepair frequencies in whole genomes is reported. This has been developed during a study of the role of heterochromatin in microevolution. Closely related species of the Crepis praemorsa complex have similar karyotypes but for their heterochromatin. The changes in...

Full description

Saved in:
Bibliographic Details
Published inCytometry (New York, N.Y.) Vol. 14; no. 6; pp. 618 - 626
Main Authors Godelle, Bernard, Cartier, Delphine, Marie, Dominique, Brown, Spencer C., Siljak‐Yakovlev, Sonja
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.08.1993
Wiley-Liss
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A novel procedure for calculating basepair frequencies in whole genomes is reported. This has been developed during a study of the role of heterochromatin in microevolution. Closely related species of the Crepis praemorsa complex have similar karyotypes but for their heterochromatin. The changes in relative AT frequency between species have been attributed to heterochromatin sequences by in situ banding of chromosomes with two base‐specific fluorochromes. The absolute genome size of species, measured by cytofluorometry, correlated positively with increased karyotypic heterochromatin, as did the proportion of AT bases in the DNA. However, the determination of base content has called for a curvilinear interpretation of data obtained with two base‐specific fluorochromes (bisbenzimide Hoechst 33342 and mithramycin), in contrast to the commonly assumed but erroneous direct relationship between fluorescence intensity and base content. Essentially, the fluorochromes' requirements for a sequence of certain basepairs lead to the notion of Coefficients or' Overspecificity: the result is a simple for mula for calculating the AT proportion in a genome relative to a reference species from cytometric data, taking account of ligand binding statistics. These statistics and probabilities of oligonucleotide binding are essentially the same. © 1993 Wiley‐Liss, Inc.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0196-4763
1097-0320
DOI:10.1002/cyto.990140606