W562Recent Progress in the Shotgun Sequencing of Conifer Mega-Genomes
Time: 10:50 AM
Whole genome shotgun sequencing of a single haploid megagametophyte results in a dataset of reduced complexity. The resulting haploid data is well suited for additional computational methods of complexity reduction. With limited DNA, paired end megagametophyte coverage is augmented with deep sequencing of multiple long-insert libraries (fosmid DiTags and Illumina mate pair libraries) from the parental diploid DNA. The final datasets have been small enough to be assembled using the classic overlap-layout-consensus approach. We report on recent progress made in applying our strategy to genomes of sugar pine, Douglas fir, as well as our recent and forthcoming loblolly pine genomes.
A complementary approach to complexity reduction based on the sequencing small fosmid pools from the genome of the diploid parent. The effectively haploid assemblies have very high quality scaffolds. We applied this strategy on a small scale to our three conifer genomes for validation and high quality repeat annotation.
To obtain high resolution annotation of recombination rate in loblolly pine, assign scaffolds to chromosomes, and validate our V1.01 assembly, over 600 megagametophytes were genotyped by random shotgun sequencing. We call this strategy Haplotyping by Sequencing (HBS).
