Highly productive, third-rotation commercial plantations have been successfully managed in the United States by the pulp and paper, timber, and the environmental-remediation industries for more than 40 years with great success in terms of wood yields and job creation. The success of the poplar plantation industry has consistently been shown to be dependent the propagation of elite varieties that have undergone hybridization and intense selection for improved agronomic characteristics. Hybrid poplar will similarly play a large role in the future supply of cellulosic energy feedstock as a key component of the Nation's 30x30 goals for the renewable transportation fuels industry. However a new class of poplar varieties of improved chemistry composition will be needed that are capable of bio-fuels manufacture with improved conversion economics. The breeding of such varieties will require the development and integration of novel molecular tools into existing traditional hybridization and varietal selection program. To accomplish this, GreenWood Resources currently conducting an association genetics study to identify genes controlling cellulose production in black cottonwood (Populus trichocarpa) based on single nucleotide polymorphisms (SNP's). We are now completing a comparative study with European black poplar (P. nigra) so as to augment GreenWood's conventional hybridization program for these two important poplar species using molecular markers and bioinformatics to improve biomass composition and the economics of liquid fuels conversion. (The goal is a re-designed reciprocal recurrent selection program for inter-sectional hybridization of P. trichocarpa and P. nigra. ) A large 612-genotype collection of P. nigra has been cloned and established at two contrasting locations in the Pacific Northwest. We have sequenced the same lignin and cellulose biosynthetic pathway genes identified in the P. trichocarpa study to discover new SNPs. We propose to: 1) Phenotype the 612 clones for an array of chemical and structural traits at each of the two locations, 2) Genotype the collection for important SNPs, and 3) Study the genotype-phenotype associations and the effect to which they interact with planting site. The comparative study in P. nigra will also provide insight into the pattern of genetic diversity between the two species from distinct sections of the genus. The comparison will also advance our understanding of the manner in which reciprocal parental populations should be managed as a marker-assisted breeding program for improved first-generation hybridization for enhanced bio-fuels application. OBJECTIVES: Objective 1 - Clonal testing and phenotyping of P. nigra for biomass production and compositional traits (GreenWood Resources). -Determine the magnitude of genetic variation in biomass compositional traits in P. nigra (lignin content, syringyl-to-guaicyl lignin ratio, glucose content, xylose content, specific gravity, etc.). -Determine how this variation is partitioned between the family and clone-within-family levels. -Determine the importance of genotype-by-environment interactions for biomass compositional traits. Objective 2 - SNP genotyping in an association population of 612 P. nigra clones (University of California, Davis). -SNP genotype 612 P. nigra clones for ~1536 SNPs (Illumina Golden Gate assay) at the UC Davis Genome Center. Objective 3 - Association testing (GreenWood Resources and University of California, Davis). -Perform association genetics analyses to identify genes controlling lignin content, and syringyl/guaiacyl lignin ratio, cellulose quantity, wood specific gravity. -Compare results with those derived for P. trichocarpa. -Determine stability of marker-trait associations within population tested at two contrasting sites. APPROACH: Replicated clonal fields trials at GreenWood Resources' Westport and Boardman test sites will be grown using optimal practices for weed control, irrigation, fertilization, and pest control through the 2009 - 2011 growing seasons. Data will be collected following the second growing season (2009); this is coincident with the expected rotation length for biomass energy feedstock. Both agronomic and biomass-compositional data will be collected. GreenWood Resources will also develop family-specific yield equations to estimate dry weight on an individual tree basis. These will be expanded to a 36-tree plot basis for an area yield estimate for each family. Biomass compositional data will include wood specific gravity, total lignin content, ratio of syringyl-to-guaicyl (S/G) lignin forms, and glucose and xylose contents as determined by near infrared spectroscopy (Brimrose Luminar 5030 spectrometer). DNA samples from P. nigra leaf tissue will be isolated in the Neale lab at UC Davis. SNP genotyping (1,536 SNPs) will be performed at the UC Davis Genome Center DNA Technologies Core using the Illumina Golden Gate SNP genotyping platform. SNP genotype calls will be piped directly to the bioinformatics servers in the Neale lab for data analysis. Association tests with chemical and physical wood property phenotypes (lignin content, syringyl/guiacyl lignin ratio, cellulose quantity and wood specific gravity) will be performed using methods described in Gonzalez-Martinez et al.(2007).* Correction will be made for family (K matrix) and population (Q matrix) structure as described in Gonzalez-Martinez et al. (2007). Correction for multiple testing will also be made using the false discovery rate (FDR) method (Gonzalez-Martinez et al. (2007)). Tests will address the conservation of associations both across environments (i.e. Westport versus Boardman) and species (i. e. P. nigra versus P. trichocarpa). * Gonzalez-Martinez, S. C., Wheeler, N. C., Ersoz, E., Nelson, C. D., and Neale, D. B. 2007. Association genetics in Pinus taeda L. I. wood property traits. Genetics 175: 399-409