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-rw-r--r--general/datasets/Poplarpublish/acknowledgment.rtf1
-rw-r--r--general/datasets/Poplarpublish/citation.rtf3
-rw-r--r--general/datasets/Poplarpublish/platform.rtf1
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+<p>We thank L. E. Gunter, M. S. Azam, E. Drewes, N. Farzaneh, L. Liao, E. Moreno, L. Muenter and L. Quamme for data monitoring, collection and image presentation. We also thank anonymous reviewers for their suggestions and revisions in improving the manuscript. This work was supported by the Genome British Columbia Applied Genomics Innovation Program (Project 103BIO) and Genome Canada Large-Scale Applied Research Project (Project 168BIO) funds to R.D.G., J.E., Q.C.B.C., Y.A.E-K., S.D.M. and C.J.D. and by funds within the BioEnergy Science Center, a US Department of Energy Bioenergy Research Facility under contract DE&ndash;AC05&ndash;00OR22725.</p>
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+<p>Athena D. McKown<sup>1*</sup>, Jaroslav Kla&acute;psˇteˇ<sup>1,2*</sup>, Robert D. Guy<sup>1</sup>, Armando Geraldes<sup>3</sup>, Ilga Porth<sup>1,4</sup>, Jan Hannemann<sup>5</sup>, Michael Friedmann<sup>3</sup>, Wellington Muchero<sup>6</sup>, Gerald A. Tuskan<sup>6</sup>, J&euro;urgen Ehlting<sup>5</sup>, Quentin C. B. Cronk<sup>3</sup>, Yousry A. El-Kassaby<sup>1</sup>, Shawn D. Mansfield<sup>4</sup> and Carl J. Douglas<sup>3</sup></p>
+
+<p><sup>1</sup>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada; <sup>2</sup>Department of Dendrology and Forest Tree Breeding, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague 165 21, Czech Republic; <sup>3</sup>Department of Botany, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada; <sup>4</sup>Department of Wood Science, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada; <sup>5</sup>Department of Biology and Centre for Forest Biology, University of Victoria, Victoria, BC, V8W 3N5, Canada; <sup>6</sup>BioSciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA</p>
diff --git a/general/datasets/Poplarpublish/platform.rtf b/general/datasets/Poplarpublish/platform.rtf
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+<p><a href="http://onlinelibrary.wiley.com/store/10.1111/1755-0998.12056/asset/men12056.pdf;jsessionid=5649A093D8424DD93E9AA1874D0B6537.f01t04?v=1&amp;t=iyc2xz4m&amp;s=d3b39f5b452af37a9e39d83de2925346ae8337ff">Illumina iSelect Infinium 34K Populus SNP genotyping array</a></p>
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+<p><a href="http://bioenergycenter.org/besc/gwas/">http://bioenergycenter.org/besc/gwas/</a></p>
diff --git a/general/datasets/Poplarpublish/summary.rtf b/general/datasets/Poplarpublish/summary.rtf
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+<p><a href="http://genenetwork.org/dbdoc/McKown_et_al-2014-New_Phytologist.pdf">Full article available here</a>.</p>
+
+<ul>
+ <li> In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). </li>
+ <li>We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. </li>
+ <li>We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P&lt;1.79106). Markers were found across 19 chromosomes, explained 1&ndash;13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). </li>
+ <li>The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.</li>
+</ul>