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Full-Text Articles in Physical Sciences and Mathematics
Dynamics Of Redox-Driven Molecular Processes In Local And Systemic Plant Immunity, Philip Berg
Dynamics Of Redox-Driven Molecular Processes In Local And Systemic Plant Immunity, Philip Berg
Theses and Dissertations
The work here presents two main parts. In the first part, chapters 1 – 3 focus on dynamical systems modeling in plant immunity, whereas chapters 4 – 6 describe contributions to computational modeling and analysis of proteomics and genomics data. Chapter 1 investigates dynamical and biochemical patterns of reversibly oxidized cysteines (RevOxCys) during effector-triggered immunity (ETI) in Arabidopsis, examines the regulatory patterns associated with Arabidopsis thimet oligopeptidase 1 and 2’s (TOP1 and TOP2), roles in the RevOxCys events during ETI, and analyzes the redox phenotype of the top1top2 mutant. The second chapter investigates the peptidome dynamics during ETI …
Classification Models For 2,4-D Formulations In Damaged Enlist Crops Through The Application Of Ftir Spectroscopy And Machine Learning Algorithms, Benjamin Blackburn
Classification Models For 2,4-D Formulations In Damaged Enlist Crops Through The Application Of Ftir Spectroscopy And Machine Learning Algorithms, Benjamin Blackburn
Theses and Dissertations
With new 2,4-Dichlorophenoxyacetic acid (2,4-D) tolerant crops, increases in off-target movement events are expected. New formulations may mitigate these events, but standard lab techniques are ineffective in identifying these 2,4-D formulations. Using Fourier-transform infrared spectroscopy and machine learning algorithms, research was conducted to classify 2,4-D formulations in treated herbicide-tolerant soybeans and cotton and observe the influence of leaf treatment status and collection timing on classification accuracy. Pooled Classification models using k-nearest neighbor classified 2,4-D formulations with over 65% accuracy in cotton and soybean. Tissue collected 14 DAT and 21 DAT for cotton and soybean respectively produced higher accuracies than the …
The Effects Of An R103q Mutation On The Chemical And Physical Properties Of The Enzyme Cytochrome C Nitrite Reductase (Ccnir), Shahama Alam
The Effects Of An R103q Mutation On The Chemical And Physical Properties Of The Enzyme Cytochrome C Nitrite Reductase (Ccnir), Shahama Alam
Theses and Dissertations
Cytochrome c Nitrite Reductase (ccNiR) is a periplasmic homodimeric decaheme enzyme that catalyzes the reduction of nitrite to ammonium in a process that involves six electrons and eight protons. The project described herein explored the properties of the Shewanella oneidensis R103Q ccNiR variant and compared them to the properties of the wild type enzyme. Under standard assay conditions, which use the strong reducing agent methyl viologen monocation radical (MVred) as an electron source, the R103Q variant still catalyzes reduction of nitrite to ammonium, albeit with an MVred turnover rate that is 20% of the wild type’s (780 ± 50 s-1 …