W312
The Hardwood Genomics Project: Outcomes and Future Directions after Four Years of Resource Development 

Date: Sunday, January 11, 2015
Time: 12:30 PM
Room: Sunrise - Meeting House
Margaret Staton , University of Tennessee, Knoxville, TN
Teodora Orendovici-Best , Pennsylvania State University, University Park, PA
Nicole Zembower , Pennsylvania State University, University Park, PA
Thomas Lane , University of Tennessee Institute of Agriculture, Knoxville, TN
Jack Davitt , University of Tennessee, Knoxville, Knoxville, TN
Tatyana Zhebentyayeva , Clemson University Genomics & Computational Biology Laboratory, Clemson, SC
Mark Coggeshall , University of Missouri, Columbia, MO
Oliver Gailing , Michigan Technological University, Houghton, MI
Haiying Liang , Clemson University, Clemson, SC
Jeanne Romero-Severson , University of Notre Dame, Notre Dame, IN
Christopher A. Saski , Clemson University Genomics & Computational Biology Laboratory, Clemson, SC
Scott Schlarbaum , University of Tennessee, Knoxville, TN
Ketia Shumaker , The University of West Alabama, Livingston, AL
Nicholas Wheeler , Pennsylvania State University, Centralia, WA
John E. Carlson , Penn State University, University Park, PA
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With increasing pressures on natural and plantation forests due to climate change and invasive insects and microbes, there is a growing need for tools to inform and accelerate tree management, improvement and reforestation efforts.  The Hardwood Genomics Project has spent the last four years generating genetic and genomic resources for a broad taxonomic distribution of hardwood tree species, including black walnut (BW, Juglans nigra), blackgum (BG, Nyssa sylvatica), green ash (GA, Fraxinus pennsylvanica), honeylocust (HL, Gleditsia triacanthos), northern red oak (NRO, Quercus rubra), sugar maple (SM, Acer saccharum), sweetgum (SG, Liquidambar styraciflua), and yellow poplar (YP, Liriodendron tulipifera). Available or coming resources include:
  • Deep transcriptome sequencing across multiple tissues and abiotic stress conditions (all species)
  • Differential gene expression under conditions of increased ozone (all species) and drought, heat, cold and wounding (GA, HL, SG, SM)
  • Genomic SSR discovery and verification (HL, SM, SG)
  • Full sibling mapping populations and genetic linkage maps (BW, GA, HL, NRO, YP)
  • Phenotyping and QTL mapping of bud burst date, leaf nitrogen content, leaf morphology (BW, NRO)
  • Bacterial artificial clone (BAC) libraries and sequences from 200 clones with candidate genes related to dormancy, stress or flowering (BW, NRO)
  • Genome database and website at hardwoodgenomics.org

Descriptions of these datasets and new opportunities in forest tree research and improvement which they provide will be explored. All data are publicly available online through the project website or NCBI. This project is supported by grant #TRPGR IOS-1025974 from the National Science Foundation’s Plant Genome Research Program.

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