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At least 775 records · Page 43

The dual effect of tubulin manipulation on Populus wood formation and drought tolerance

The main objectives were to generate transgenic Populus with altered alpha- (TUA) and beta-tubulin (TUB) expression and/or post-translational modifications (PTMs) in a plant-wide, guard cell-specific or xylem-specific manner, and then to characterize the effects of the modifications on tree growth and wood properties. In short, strong effects on cell wall composition were noted in leaves where transgene expression was strong (Harding et al. 2017; Hu et al. in review). Subtle, but noteworthy effects were observed in wood (developing xylem) where transgene expression was weak (Swamy et al. 2015). Any effect of PTM manipulation was functionally recessive and/or confounded by tubulin overexpression. It was anticipated that PTM manipulation would affect tubulin half-life, and this is the question that was being addressed, but overall tubulin protein levels correlated with transgene expression levels. We also demonstrated that a dynamic C-terminal PTM known as the tyrosination/detyrosination cycle, so common in animal systems, and purportedly operational in plants, does not occur in wood-forming tissues of Populus (Hu et al. 2016). Contrary to the commonly hypothesized role of microtubules in directing microfibril deposition, cellulose content and microfibril angle were not changed in tubulin-overexpressing plants, nor were hemicellulose and lignin contents, in either wood or leaves. Instead, this project demonstrated that the extractability of pectin and xylan polysaccharides was sensitive to tubulin perturbations, with consequences in stomatal stress response and lignocellulosic biomass utilization. The work also revealed a complex interplay by multi-compartmental (cell wall and cytoskeleton) signaling that impinged upon the control of phenylpropanoid metabolic flux to modulate stomatal response to environmental stimuli.

59 BASIC BIOLOGICAL SCIENCES↗

AI-Constrained Bottom-Up Ecohydrology and Improved Prediction of Seasonal, Interannual, and Decadal Flood and Drought Risks

Focal Areas: (2) Predictive modeling through the use of AI techniques and AI-derived model components; the use of AI and other tools to design a prediction system composed of a hierarchy of models (3)Insight gleaned from complex data (both observed & simulated) using AI, big data analytics, and other advanced methods, including explainable AI and physics- or knowledge-guided AI

54 ENVIRONMENTAL SCIENCES↗

Analysis of RNA viral function from metatranscriptomic reads in drought simulated soils

Soil viruses have received increased interest in recent years because of their abundance and unelucidated potential as drivers for organic carbon derived from fungal and bacterial necromass. With decreasing levels of rainfall and climbing instances of unseasonal conditions, it becomes crucial to our goals for negative carbon emissions to understand how soil carbon flux is affected. Here we leveraged metatranscriptomic data from a section of research plot of Hopland Research and Extension in northern California with a suite of viral detection tools: VirSorter, DRAMv, and VContact2. We aimed to cross analyze moisture regiments with viral populations. We find that viral diversity is driven by site, like bacteria. We found that viral diversity at face value showed some differentiation but did not significantly differ by legacy moisture content. Additionally, there was detection of auxiliary metabolic genes in a viral sequence which may further support virus’s direct input into the soil carbon pool.

54 ENVIRONMENTAL SCIENCES↗

Root Pulling Force Across Drought in Maize Reveals Genotype by Environment Interactions and Candidate Genes

High-throughput, field-based characterization of root systems for hundreds of genotypes in thousands of plots is necessary for breeding and identifying loci underlying variation in root traits and their plasticity. We designed a large-scale sampling of root pulling force, the vertical force required to extract the root system from the soil, in a maize diversity panel under differing irrigation levels for two growing seasons. We then characterized the root system architecture of the extracted root crowns. We found consistent patterns of phenotypic plasticity for root pulling force for a subset of genotypes under differential irrigation, suggesting that root plasticity is predictable. Using genome-wide association analysis, we identified 54 SNPs as statistically significant for six independent root pulling force measurements across two irrigation levels and four developmental timepoints. For every significant GWAS SNP for any trait in any treatment and timepoint we conducted post hoc tests for genotype-by-environment interaction, using a mixed model ANOVA. We found that 8 of the 54 SNPs showed significant GxE. Candidate genes underlying variation in root pulling force included those involved in nutrient transport. Although they are often treated separately, variation in the ability of plant roots to sense and respond to variation in environmental resources including water and nutrients may be linked by the genes and pathways underlying this variation. While functional validation of the identified genes is needed, our results expand the current knowledge of root phenotypic plasticity at the whole plant and gene levels, and further elucidate the complex genetic architecture of maize root systems.

Woods, Patrick↗