Genomics Commons^™

Promises And Challenges Of Eco-Physiological Genomics In The Field: Tests Of Drought Responses In Switchgrass. Plant Physiology, John T. Lovell, Eugene V. Shakirov, Scott Schwartz, David B. Lowry, Michael J. Aspinwall, Samuel H. Taylor, Jason Bonnette, Juan Diego Palacio-Mejia, Christine V. Hawkes, Philip A. Fay, Thomas E. Juenger

Yevgeniy (Eugene) Shakirov

Identifying the physiological and genetic basis of stress tolerance in plants has proven to be critical to understanding adaptation in both agricultural and natural systems. However, many discoveries were initially made in the controlled conditions of greenhouses or laboratories, not in the field. To test the comparability of drought responses across field and greenhouse environments, we undertook three independent experiments using the switchgrass reference genotype Alamo AP13. We analyzed physiological and gene expression variation across four locations, two sampling times, and three years. Relatively similar physiological responses and expression coefficients of variation across experiments masked highly dissimilar gene expression responses …

Sumoylation, Oliver Kerscher

Oliver Kerscher

Eukaryotic cells utilise the dynamic addition and removal of SUMO, a small ubiquitin‐like modifier (UBL), to modulate protein functions, interactions and localisation. Protein SUMOylation involves a cascade of dedicated enzymes that facilitate the covalent modification of specific lysine residues on target proteins with monomers or polymers of SUMO. The cellular homeostasis of SUMOylated proteins is also regulated by SUMO proteases and SUMO‐targeted ubiquitin ligase (STUbLs). SUMO proteases cleave SUMO from modified proteins. In contrast, STUbLs ubiquitinate proteins modified with SUMO chains. Recent data suggests that ubiquitination via STUbLs effects the turnover of SUMOylated proteins as well as the spatio‐temporal composition …

Extreme‐Phenotype Genome‐Wide Association Study (Xp‐Gwas): A Method For Identifying Trait‐Associated Variants By Sequencing Pools Of Individuals Selected From A Diversity Panel, Jinliang Yang, Haiying Jiang, Cheng-Ting Yeh, Jianming Yu, Jeffrey A. Jeddeloh, Dan Nettleton, Patrick S. Schnable

Dan Nettleton

Although approaches for performing genome‐wide association studies (GWAS) are well developed, conventional GWAS requires high‐density genotyping of large numbers of individuals from a diversity panel. Here we report a method for performing GWAS that does not require genotyping of large numbers of individuals. Instead XP‐GWAS (extreme‐phenotype GWAS) relies on genotyping pools of individuals from a diversity panel that have extreme phenotypes. This analysis measures allele frequencies in the extreme pools, enabling discovery of associations between genetic variants and traits of interest. This method was evaluated in maize (Zea mays) using the well‐characterized kernel row number trait, which was …

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke

Ray Enke Ph.D.

Undergraduates Contain Multitudes: Course-Based Metagenomics Analysis Using Dna Subway Purple Line, Ray A. Enke

Ray Enke Ph.D.

No abstract provided.