W321
A Comprehensive Study of the Sugar Pine (Pinus lambertiana) Transcriptome Implemented through Diverse Next-Generation Sequencing Approaches

Date: Sunday, January 10, 2016
Time: 9:10 AM
Room: Sunrise - Meeting House
Pedro J Martínez-García , Dept. Plant Sciences University of California Davis, Davis, CA
Daniel Gonzalez-Ibeas , Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT
Randi Famula , Dept. Plant Sciences University of California Davis, Davis, CA
Annette
 Delfino‐Mix , 
Institute 
of Forest 
Genetics,
 USDA 
Forest 
Service, Placerville, CA
Kristian Stevens , Department of Evolution and Ecology, University of California, Davis, Davis, CA
Jeffrey Puryear , Dept. of Ecosystem Science and Management, Texas A&M University, College Station, TX
Charles H. Langley , Department of Evolution and Ecology, University of California, Davis, Davis, CA
Carol Loopstra , Dept. of Ecosystem Science and Management, Texas A&M University, College Station, TX
David Neale , Dept. Plant Sciences University of California Davis, Davis, CA
Jill Wegrzyn , Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT
The assembly, annotation, and characterization of the sugar pine (Pinus lambertiana Dougl.) transcriptome represents an opportunity to study the genetic mechanisms underlying resistance to the invasive white pine blister rust (Cronartium ribicola) as well as responses to other abiotic stresses. The assembled transcripts also provide a resource to improve the genome assembly. We selected a diverse set of tissues allowing the first comprehensive evaluation of the sugar pine gene space. We have combined short read sequencing technologies (Illumina MiSeq and HiSeq) with the relatively new Pacific Biosciences Iso-Seq approach.  From the 2.5 billion and 1.6 million Illumina and PacBio (46 SMRT cells) reads, 33,720 unigenes were de novo assembled. Comparison of sequencing technologies revealed improved coverage with Illumina HiSeq reads and better splice variant detection with PacBio Iso-Seq reads. The genes identified as unique to each library ranges from 199 transcripts (basket seedling) to 3,482 transcripts (female cones).  In total, 10,026 transcripts were shared by all libraries. Genes differentially expressed in response to these provided insight on abiotic and biotic stress responses.  To analyze orthologous sequences, we compared the translated sequences against 19 plant species, identifying 7,229 transcripts that clustered uniquely among the conifers.  We have generated here a high quality transcriptome from one WPBR susceptible and one WPBR resistant sugar pine individual. Through the comprehensive tissue sampling and the depth of the sequencing achieved, detailed information on disease resistance can be further examined.