Linked-read sequencing of gametes allows efficient genome-wide analysis of meiotic recombination

Hequan Sun, Beth A. Rowan (), Pádraic J. Flood, Ronny Brandt, Janina Fuss, Angela M. Hancock, Richard W. Michelmore, Bruno Huettel and Korbinian Schneeberger ()
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Hequan Sun: Max Planck Institute for Plant Breeding Research
Beth A. Rowan: University of California, Davis
Pádraic J. Flood: Max Planck Institute for Plant Breeding Research
Ronny Brandt: Max Planck Institute for Plant Breeding Research
Janina Fuss: Max Planck Institute for Plant Breeding Research
Angela M. Hancock: Max Planck Institute for Plant Breeding Research
Richard W. Michelmore: University of California, Davis
Bruno Huettel: Max Planck Institute for Plant Breeding Research
Korbinian Schneeberger: Max Planck Institute for Plant Breeding Research

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract 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 F2 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 F1 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.

Date: 2019
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DOI: 10.1038/s41467-019-12209-2

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