ReCombine: a suite of programs for detection and analysis of meiotic recombination in whole-genome datasets.

In meiosis, the exchange of DNA between chromosomes by homologous recombination is a critical step that ensures proper chromosome segregation and increases genetic diversity. Products of recombination include reciprocal exchanges, known as crossovers, and non-reciprocal gene conversions or non-crossovers. The mechanisms underlying meiotic recombination remain elusive, largely because of the difficulty of analyzing large numbers of recombination events by traditional genetic methods. These traditional methods are increasingly being superseded by high-throughput techniques capable of surveying meiotic recombination on a genome-wide basis. Next-generation sequencing or microarray hybridization is used to genotype thousands of polymorphic markers in the progeny of hybrid yeast strains. New computational tools are needed to perform this genotyping and to find and analyze recombination events. We have developed a suite of programs, ReCombine, for using short sequence reads from next-generation sequencing experiments to genotype yeast meiotic progeny. Upon genotyping, the program CrossOver, a component of ReCombine, then detects recombination products and classifies them into categories based on the features found at each location and their distribution among the various chromatids. CrossOver is also capable of analyzing segregation data from microarray experiments or other sources. This package of programs is designed to allow even researchers without computational expertise to use high-throughput, whole-genome methods to study the molecular mechanisms of meiotic recombination.

Mapping of crossover sites using DNA microarrays.

Crossovers (COs) play an essential role in promoting successful chromosome segregation during meiosis. Crossing over generates chiasmata, which are physical bridges between homologs that provide the appropriate tension to properly align chromosomes on the meiosis I spindle. Homolog pairs that fail to cross over can result in meiosis I nondisjunction, leading to aneuploid gametes. Therefore, the number and distribution of crossovers are tightly regulated to ensure that each chromosome pair receives at least one CO. Here, we describe a DNA microarray-based method to map CO distribution genome-wide, on a cell-by-cell basis, allowing for rapid and accurate analysis of multiple aspects of CO control.

Global analysis of the meiotic crossover landscape.

Tight control of the number and distribution of crossovers is of great importance for meiosis. Crossovers establish chiasmata, which are physical connections between homologous chromosomes that provide the tension necessary to align chromosomes on the meiotic spindle. Understanding the mechanisms underlying crossover control has been hampered by the difficulty in determining crossover distributions. Here, we present a microarray-based method to analyze multiple aspects of crossover control simultaneously and rapidly, at high resolution, genome-wide, and on a cell-by-cell basis. Using this approach, we show that loss of interference in zip2 and zip4/spo22 mutants is accompanied by a reduction in crossover homeostasis, thus connecting these two levels of crossover control. We also provide evidence to suggest that repression of crossing over at telomeres and centromeres arises from different mechanisms. Lastly, we uncover a surprising role for the synaptonemal complex component Zip1 in repressing crossing over at the centromere.