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Our long term goal is to genetically dissect complex traits and understand the relationship between naturally occurring genetic and phenotypic variation in forest trees. In this project we will identify relationships between naturally occurring genetic and phenotypic variation in Pinus taeda L.
Loblolly pine, a gymnosperm, is well-positioned phylogenetically to help us understand the evolution of adaptive traits in land plants. To assign biological roles to genes of unknown function and to define gene networks of adaptive significance, a population genomic approach (association genetics) will be used to study how allelic sequence variation among individuals results in phenotypic differences....
Project Overview (pdf) (ppt)
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Eckert, A. J., Tearse, B. R., Pande, B., and Neale, D. B. (in review) DnaSAM: Software to perform neutrality testing for large data sets with complex null models. BMC Bioinformatics.
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Wegrzyn J. L., Lee, J. M., Liechty, J. D., and Neale, D. B. (2008) PineSAP . Pine alignment and SNP Identification Pipeline. Bioinformatics. in press.
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Eckert Andrew J., Pande Barnaly, Ersoz Elhan S., Wright Mark H., Rashbrook Vanessa K., Nicolet Charles M., and Neale David B. (2008) High-throughput genotyping and mapping of single nucleotide polymorphisms in loblolly pine (Pinus taeda L.). Tree Genetics & Genomes. DOI: 10.1007/s11295-008-0183-8.
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