W355 Applications of Genome Sequencing for Peanut Improvement

Date: Tuesday, January 17, 2012
Time: 12:05 PM
Room: Town and Country
Lutz Froenicke , UC Davis Genome Center, Davis, CA
Christopher Beitel , University of California, Davis, Davis, CA
Manish K Pandey , International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
Hari D. Upadhyaya , International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, Hyderabad, India
Márcio C. Moretzsohn , Embrapa Recursos Genéticos e Biotecnologia, Brasilia, Brazil
Patricia Messenberg Guimaraes , Fundacao Arthur FUNARBE -, Biologica, Brazil
Soraya C M Leal-Bertioli , Embrapa Genetic Resources&Biotech, Brasilia , DF, Brazil
Rajeev Kumar Varshney , International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
David John Bertioli , University of Brasilia, Brasilia, Brazil
Richard Michelmore , UC Davis Genome Center, Davis, CA
As part of the International Peanut  Genome Initiative we are pursuing the generation of ultra-high density genetic maps through genotyping by low coverage, shotgun sequencing.  These maps will be generated through sequencing of diploid and tetraploid peanut mapping populations and of a peanut diversity panel.  They will assist the reference genome assembly and provide the foundation for GWAS and QTL mapping studies. RIL mapping populations of the diploid wild progenitor species of both the peanut A and B genomes will be analyzed as well as a tetraploid mapping population that consists of a cross of cultivated peanut with a synthetic amphidiploid of the two progenitor species and a cultivated peanut RIL panel phenotyped for agricultural traits.  The diversity panel consists of 300 accessions selected on the basis of SSR genotyping data to represent the diversity of the peanut germplasm collection at ICRISAT.  In contrast to previous mapping-by-sequencing efforts, the maps are generated for species without an existing reference genome using a new genome mapping pipeline.  This pipeline has been established by analyzing the Arachis B genome for which the first data are presented.  The gene space of the parental lines of each RIL population (20x coverage) and of each RIL (1x coverage) and each accession of the diversity panel accessions are being sequenced using an Illumina HiSeq 2000. The SNPs identified in the diversity panel will be analyzed for linkage disequilibrium and the LD data will be used to refine the genetic bins generated from the RIL segregation data.