For a full list see Google Scholar
EB Josephs, ML Van Etten, A Harkess, A Platts, RS Baucom
Evolution Letters (2021)
In collaboration with Gina Baucom’s lab at the University of Michigan, we investigated the potential for gene expression responses to herbicide to be adaptive. We used gene expression data from plants that had been grown with and without herbicide, along with expression data from artificial selection experiments for herbicide resistance to show that expression responses are often likely beneficial
EB Josephs, YW Lee, CW Wood, DJ Schoen, SI Wright, and JR Stinchcombe
MBE (2020)
We detected loci that affect the expression of nearby genes (cis-eQTLs) and of far away genes (trans-eQTLs) and compared their allele frequencies and other signatures of selection to show that negative selection acts more strongly on trans-eQTLs than cis-eQTLs. We also developed a method using coexpression networks to identify loci that affected the expression of large modules of genes with correlated expression
EB Josephs, JJ Berg, J Ross-Ibarra, G Coop
Genetics (2019)
We developed a method to detect local adaptation in diverse samples that have been genotyped and phenotyped in common garden. Specifically, we look for excess trait differentiation along the principal components of relatedness beyond an expectation based on neutral genetic drift. We then applied these methods to detect adaptation in domesticated maize.
EB Josephs, SI Wright, JR Stinchcombe, DJ Schoen
Genome Biology and Evolution (2017)
We used leaf expression data to construct coexpression networks that describe the correlation in expression between genes. Connectivity in these networks was associated with both the strength of negative selection on gene sequence and the presence of local regulatory variants (‘eQTLs’)
EB Josephs, JR Stinchcombe, SI Wright
New Phytologist (2017)
A review of techniques and best practices for understanding the maintenance of genetic variation using population and quantitative genetics
EB Josephs, YW Lee, JR Stinchcombe, SI Wright
PNAS (2015)
We identified genetic variants that control gene expression and showed that purifying (or negative) selection acts on these variants based on patterns of allele frequency and effect sizes.
RJ Williamson, EB Josephs, AE Platts, KM Hazzouri, A Haudry, M Blanchette, SI Wright.
Plos Genetics (2014)
We analyzed population genetic signatures of selection in Capsella and showed that selection is important in shaping genomic variation.