Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.
The Genome Center and Department of Plant Sciences, University of California, Davis, 451 East Health Sciences Drive, Davis, CA, 95616, USA.
Nat Commun. 2019 Sep 20;10(1):4310. doi: 10.1038/s41467-019-12209-2.
Meiotic crossovers (COs) ensure proper chromosome segregation and redistribute the genetic variation that is transmitted to the next generation. Large populations and the demand for genome-wide, fine-scale resolution challenge existing methods for CO identification. Taking advantage of linked-read sequencing, we develop a highly efficient method for genome-wide identification of COs at kilobase resolution in pooled recombinants. We first test this method using a pool of Arabidopsis F recombinants, and recapitulate results obtained from the same plants using individual whole-genome sequencing. By applying this method to a pool of pollen DNA from an F plant, we establish a highly accurate CO landscape without generating or sequencing a single recombinant plant. The simplicity of this approach enables the simultaneous generation and analysis of multiple CO landscapes, accelerating the pace at which mechanisms for the regulation of recombination can be elucidated through efficient comparisons of genotypic and environmental effects on recombination.
减数分裂交叉(COs)确保了染色体的正确分离,并重新分配了遗传变异,这些变异将传递给下一代。庞大的种群和对全基因组、精细分辨率的需求,给现有的 CO 识别方法带来了挑战。利用连锁读取测序,我们开发了一种在混合重组体中以千碱基分辨率进行全基因组 CO 识别的高效方法。我们首先使用拟南芥 F 重组体的混合物来测试该方法,并通过对来自 F 植物的花粉 DNA 的混合物进行重复实验,得出与使用单个全基因组测序相同的结果。通过将该方法应用于 F 植物花粉 DNA 的混合物中,我们建立了一个高度准确的 CO 景观,而无需生成或测序单个重组植物。该方法的简单性使得同时生成和分析多个 CO 景观成为可能,从而通过对重组的基因型和环境效应进行有效的比较,加速了对重组调控机制的研究。