Justin Borevitz Faculty
Justin Borevitz
Assistant Professor
Department of Ecology and Evolution
OFFICE PHONE FAX EMAIL
Erman 305 773-702-5948 773-702-9740 borevitz at uchicago.edu

Justin Borevitz's personal homepage.

Research Interests

We are interested in the genetics of adaptation to seasonal light environments. Quantitative and population genetic approaches in Arabidopsis thaliana, Arabidopsis lyrata, and Aquilegia are used to dissect local and regional phenotypic variation. What genes and what alleles explain differential survival (germination/elongation) and reproduction (flowering time) in the field? Are these new variants or new combinations of existing polymorphisms? Are similar evolutionary steps occurring in related species living in a similar ecological context?

We have revealed extensive genetic variation in world wide collections for seedling elongation (Nature Genetics 2001) and flowering time (Genetics 2005) under unique light environments and determined quantitative trait loci (QTL) responsible for this variation (Genetics 2002,2004, PLoSONE, 2007). The next questions are what are the genes underlying these QTL and what are the functional allelic differences? How have the patterns of variation at these loci been shaped by natural selection? Can we find evidence for local adaptation and determine the ecological environmental differences driving selection?

A second focus is on the development of genomics methods to enable comprehensive studies of natural variation. Tools such as whole genome oligo-nucleotide SNP tiling arrays are being used for very high resolution studies of polymorphism, mapping (Genome Research 2003, Genetics 2004, PNAS 2005, Plant Phys 2005, COPB 2007) and haplotype analysis (PNAS 2007). These arrays which interrogate nearly every base of the A. thaliana genome, can reveal natural variation in gene or allelic expression and alternative splicing to identify candidate genes for QTL and their downstream responses (Annual Review 2004). SNPs, novel Single Feature Polymorphisms (SFPs) and CNPs can identify potential causative changes for QTL. We have also revealed natural variation in methylation by differential enzyme digestion followed by tiling array hybridization. Together these studies will reveal the functional genomic responses and highlight candidate genes underlying adaptive phenotypic variation.


Research Manuscripts

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Courses Taught

PrairieEcosystems BIOS 13113

 

Evolutionary Genomics

Genetically Modified Organisms BIOS 23280

 

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