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Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

University of Massachusetts Amherst

Samuel P Hazen

2008

Articles 1 - 3 of 3

Full-Text Articles in Life Sciences

Development Of Genetic And Genomic Research Resources For Brachypodium Distachyon, A New Model System For Grass Crop Research, David F. Garvin, Yonb-Qiang Gu, Robert Hasterok, Samuel P. Hazen, Glyn Jenkins, Todd C. Mockler, Luis A J Mur, John P. Vogel Mar 2008

Development Of Genetic And Genomic Research Resources For Brachypodium Distachyon, A New Model System For Grass Crop Research, David F. Garvin, Yonb-Qiang Gu, Robert Hasterok, Samuel P. Hazen, Glyn Jenkins, Todd C. Mockler, Luis A J Mur, John P. Vogel

Samuel P Hazen

Grass crop genomics research frequently is hindered by large genome sizes and polyploidy. While rice is an attractive system for grass genomics due to its small genome size and available genome sequence, it is not particularly well-suited as a robust model system for all grass crops. The wild grass species Brachypodium distachyon (L.) P. Beauv. (Brachypodium) has recently gained favor as a new model system for grass crop genomics research because it possesses a suite of biological traits desired in a model system. Further, it is more closely related to the large and diverse group of cool season grass crops …


Network Discovery Pipeline Elucidates Conserved Time Of Day Specific Cis-Regulatory Modules, Samuel P. Hazen, T. P. Michael, T. C. Mocker, G. Brenton, C. Mcentee, A Byer, J. D. Trout, H. D. Priest, C. M. Sullivan, R. Shen, S. A. Givan, M. Yanovsky, F. Hong, S. A. Kay, J. A. Chory Jan 2008

Network Discovery Pipeline Elucidates Conserved Time Of Day Specific Cis-Regulatory Modules, Samuel P. Hazen, T. P. Michael, T. C. Mocker, G. Brenton, C. Mcentee, A Byer, J. D. Trout, H. D. Priest, C. M. Sullivan, R. Shen, S. A. Givan, M. Yanovsky, F. Hong, S. A. Kay, J. A. Chory

Samuel P Hazen

Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least …


Morning-Specific Phytohormone Gene Expression Program Underlying Rhythmic Plant Growth, Samuel P. Hazen, T. P. Michael, G. Breton, H. D. Priest, T. C. Mockler, S. A. Kay, J. A. Chory Jan 2008

Morning-Specific Phytohormone Gene Expression Program Underlying Rhythmic Plant Growth, Samuel P. Hazen, T. P. Michael, G. Breton, H. D. Priest, T. C. Mockler, S. A. Kay, J. A. Chory

Samuel P Hazen

Most organisms use daily light/dark cycles as timing cues to control many essential physiological processes. In plants, growth rates of the embryonic stem (hypocotyl) are maximal at different times of day, depending on external photoperiod and the internal circadian clock. However, the interactions between light signaling, the circadian clock, and growth-promoting hormone pathways in growth control remain poorly understood. At the molecular level, such growth rhythms could be attributed to several different layers of time-specific control such as phasing of transcription, signaling, or protein abundance. To determine the transcriptional component associated with the rhythmic control of growth, we applied temporal …