J
Jason A. Corwin
Researcher at University of Colorado Boulder
Publications - 38
Citations - 2416
Jason A. Corwin is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Population & Arabidopsis. The author has an hindex of 20, co-authored 37 publications receiving 2018 citations. Previous affiliations of Jason A. Corwin include University of California, Berkeley & University of North Carolina at Chapel Hill.
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Journal ArticleDOI
An Arabidopsis gene regulatory network for secondary cell wall synthesis
Mallorie Taylor-Teeples,Li Lin,M. De Lucas,Gina Turco,Ted Toal,Allison Gaudinier,N. F. Young,Gina M. Trabucco,Mike T. Veling,R. Lamothe,Pubudu P. Handakumbura,Guangyan Xiong,C. Wang,Jason A. Corwin,Athanasios Tsoukalas,Lifang Zhang,Doreen Ware,Markus Pauly,Daniel J. Kliebenstein,Katayoon Dehesh,Ilias Tagkopoulos,Ghislain Breton,Jose L. Pruneda-Paz,Sebastian E. Ahnert,Steve A. Kay,Samuel P. Hazen,Siobhan M. Brady +26 more
TL;DR: A protein–DNA network is presented between Arabidopsis thaliana transcription factors and secondary cell wall metabolic genes with gene expression regulated by a series of feed-forward loops to develop and validate new hypotheses about secondary wall gene regulation under abiotic stress.
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Retrograde Signaling by the Plastidial Metabolite MEcPP Regulates Expression of Nuclear Stress-Response Genes
Yanmei Xiao,Tatyana Savchenko,Edward E. K. Baidoo,Edward E. K. Baidoo,Wassim E. Chehab,Daniel M. Hayden,Vladimir Tolstikov,Jason A. Corwin,Daniel J. Kliebenstein,Jay D. Keasling,Jay D. Keasling,Katayoon Dehesh +11 more
TL;DR: It is proposed that the MEP pathway, in addition to producing isoprenoids, functions as a stress sensor and a coordinator of expression of targeted stress-responsive nuclear genes via modulation of the levels of MEcPP, a specific and critical retrograde-signaling metabolite.
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Combining Genome-Wide Association Mapping and Transcriptional Networks to Identify Novel Genes Controlling Glucosinolates in Arabidopsis thaliana
TL;DR: Genome-wide association mapping is highly sensitive to environmental changes, but network analysis allows rapid causal gene identification and can be used to solve the puzzle of why some genes are blue and others are green.
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Quantitative Resistance: More Than Just Perception of a Pathogen
TL;DR: Previous work on qualitative resistance to focus on the mechanisms of quantitative resistance, such as the link between perception of microbe-associated molecular patterns and growth, has shown that the mechanisms underlying these defense outputs are also highly polygenic.
Journal ArticleDOI
Natural genetic variation in Arabidopsis thaliana defense metabolism genes modulates field fitness
Rachel E. Kerwin,Julie Feusier,Julie Feusier,Jason A. Corwin,Matthew J. Rubin,Catherine Lin,Alise Muok,Alise Muok,Brandon Larson,Brandon Larson,Brandon Larson,Baohua Li,Bindu Joseph,Marta Francisco,Marta Francisco,Daniel Copeland,Cynthia Weinig,Daniel J. Kliebenstein,Daniel J. Kliebenstein +18 more
TL;DR: Interestingly, variation in these naturally polymorphic GSL genes affected fitness in each of the authors' environments but the pattern fluctuated such that highly fit genotypes in one trial displayed lower fitness in another and that no GSL genotype or genotypes consistently out-performed the others.