DNA methylation and AFLP marker distribution in the soybean genome View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-09

AUTHORS

W. P. Young, J. M. Schupp, P. Keim

ABSTRACT

Amplified fragment length polymorphisms (AFLPs) have become important markers for genetic mapping because of their ability to reliably detect variation at a large number of loci. We report here the dissimilar distribution of two types of AFLP markers generated using restriction enzymes with varying sensitivities to cytosine methylation in the soybean genome. Initially, AFLP markers were placed on a scaffold map of 165 RFLP markers mapped in 42 recombinant inbred (F6:7) lines. These markers were selected from a map of over 500 RFLPs analyzed in 300 recombinant inbred (F6:7) lines generated by crossing BSR101×PI437.654. The randomness of AFLP marker map position was tested using a Poisson-model distribution. We found that AFLP markers generated using EcoRI/MseI deviated significantly from a random distribution, with 34% of the markers displaying dense clustering. In contrast to the EcoRI/MseI AFLP markers, PstI/MseI-generated AFLP markers did not cluster and were under represented in the EcoRI/MseI marker clusters. The restriction enzyme PstI is notably sensitive to cytosine methylation, and these results suggest that this sensitivity affected the distribution of the AFLP markers generated using this enzyme in the soybean genome. The common presence of one EcoRI/MseI AFLP cluster per linkage group and the infrequent presence of markers sensitive to methylation in these clusters are consistent with the low recombination frequency and the high level of cytosine methylation observed in the heterochromatic regions surrounding centromeres. Thus, the dense EcoRI/MseI AFLP marker clusters may be revealing structural features of the soybean genome, including the genetic locations of centromeres. More... »

PAGES

785-792

Journal

TITLE

Theoretical and Applied Genetics

ISSUE

5

VOLUME

99

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s001220051297

DOI

http://dx.doi.org/10.1007/s001220051297

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020836964


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