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This article is part of the supplement: IUFRO Tree Biotechnology Conference 2011: From Genomes to Integration and Delivery

Open Access Open Badges Invited speaker presentation

Populus resequencing: towards genome-wide association studies

Gerald Tuskan1*, Gancho Slavov2, Steve DiFazio2, Wellington Muchero1, Ranjan Pryia1, Wendy Schackwitz3, Joel Martin3, Daniel Rokhsar3, Robert Sykes4, Mark Davis4, Michael Studer5 and Charles Wyman5

Author Affiliations

1 Oak Ridge National Laboratory, USA

2 West Virginia University, USA

3 Joint Genome Institute, USA

4 National Renewable Energy Laboratory, USA

5 Univeresity of California Riverside, USA

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BMC Proceedings 2011, 5(Suppl 7):I21  doi:10.1186/1753-6561-5-S7-I21

The electronic version of this article is the complete one and can be found online at:

Published:13 September 2011

© 2011 Tuskan et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Invited speaker presentation

Genome-wide association studies (GWAS) have been used to identify regions of the genome related to various phenotypes in humans, corn, rice and cattle. Successful application of this approach to bioenergy crops such as Populus requires 1) an appropriate mapping population, 2) high-quality phenotypic data and 3) informative genotypic data. With the goal of reducing the recalcitrance of lignocellulosic biomass for economic production of biofuels and understanding basic mechanisms of cell wall formation in Populus we established 4 clonally replicated common gardens experiments each with 1100 native P. trichocarpa genotypes collected from along the northwest coast of the U.S. and Canada. A high-throughput phenotyping pipeline was developed to measure cell wall chemistry, pretreatment response and enzymatic sugar release. Initially 18 genotypes were resequenced to an average 30X depth in order to design a SNP array to test for statistical association using MMAX and PCA methods of testing among ca. 2500 candidate genes. Genetic structure and linkage disequilibrium (LD) was assessed using SSR and SNP markers. Outlying genotypes were excluded from the analyses and estimates of LD were used to design the bead array. Candidate genes were selected based on QTL intervals, expression profiling within developing xylem and expert opinion. MMAX and PCA results revealed similar significant associations for all measured phenotypes and several SNPs within the candidate gene set explain a relatively high degree of the phenotypic variance. As a result, resequencing has continued in order to conduct GWAS in Populus; the complete set of 1100 genotypes will be complete in 2012.