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Related Experiment Video

Updated: Jun 6, 2026

Quantitation and Analysis of the Formation of HO-Endonuclease Stimulated Chromosomal Translocations by Single-Strand Annealing in Saccharomyces cerevisiae

Quantitation and Analysis of the Formation of HO-Endonuclease Stimulated Chromosomal Translocations by Single-Strand Annealing in Saccharomyces cerevisiae

Published on: September 23, 2011

Linkage map construction involving a reciprocal translocation.

A Farré¹, I Lacasa Benito, L Cistué

¹Department of Plant Production and Forest Science, University of Lleida, Lleida, Spain.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik

|December 15, 2010

Summary

This study introduces a new statistical-genetic method to build barley linkage maps, overcoming issues caused by reciprocal translocations. The approach effectively resolves pseudo-linkage and improves marker order for genetic mapping.

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Quantitation and Analysis of the Formation of HO-Endonuclease Stimulated Chromosomal Translocations by Single-Strand Annealing in Saccharomyces cerevisiae

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Published on: September 11, 2017

Area of Science:

Statistical Genetics
Plant Breeding
Genomics

Background:

Reciprocal translocations in barley (Hordeum vulgare L.) complicate standard linkage map construction.
Pseudo-linkage arises from translocations, merging markers from different chromosomes into single linkage groups.
Marker order near translocation breakpoints is difficult due to suppressed recombination.

Purpose of the Study:

To develop a novel statistical-genetic approach for constructing accurate linkage maps in barley populations with reciprocal translocations.
To address and resolve the pseudo-linkage phenomenon caused by translocations.
To enable the ordering of markers in chromosomal regions affected by suppressed recombination near translocation breakpoints.

Main Methods:

Utilized principal coordinate analysis to disentangle pseudo-linkage.
Separated individuals into distinct groups: translocated and normal types.
Classified markers based on their proximity to translocation breakpoints (close vs. distant).
Integrated a consensus map of the species into the analysis.

Main Results:

Successfully disentangled pseudo-linkage, allowing for accurate marker grouping.
Enabled the differentiation of individuals based on translocation status.
Facilitated the development of integrated linkage maps for distal chromosomal regions involved in translocations.

Conclusions:

The novel statistical-genetic strategy effectively overcomes limitations of standard linkage analysis in the presence of reciprocal translocations.
The developed method provides integrated linkage maps for distal chromosome segments, enhancing genomic resources for barley.
This approach offers a robust framework for genetic mapping in species with complex chromosomal rearrangements.