Todd Mockler, Ph.D.

The goal of Todd’s research is to elucidate the means to predict plant performance, responses and behaviors from genetic, epigenetic, transcriptomic data across a range of environments. Achieving this goal requires developing new computational tools, predictive algorithms, modeling approaches, development of monocot-focused experimental tools, and a high-throughput digital phenotyping platform.

Some of the Mockler Lab's projects handle, parse, and produce so much data that these resources cannot be easily provided alongside the publications of these projects.  So, as a service to the scientific community, the large resources that accompany these projects are made publically accessible here.

Papaya Diurnal Project

Known diurnal and circadian regulated genes in Arabidopsis thaliana were used to identify candidate orthologs in papaya.  The orthologs in papaya were then used to search for the corresponding motifs that regulate these genes.  The results revealed that the diurnal and circadian regulatory motifs were largely conserved between the two species.

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Alternative splicing in Arabidopsis thaliana

Alternative splicing can enhance transcriptome plasticity and proteome diversity. In plants, alternative splicing can be manifested at different developmental stages, and is frequently associated with specific tissue types or environmental conditions such as abiotic stress. We mapped the Arabidopsis transcriptome at single-base resolution using the Illumina platform for ultrahigh-throughput RNA sequencing (RNA-seq).

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The Lemnaceae are the smallest, fastest growing and simplest of flowering plants, representing an overlooked and potentially high-impact biofuel feedstock that is ripe for exploitation. Members of this family are tiny aquatic plants that are found across the world essentially growing anywhere there is abundant water and sunlight. Of the many Lemnaceae, Spirodela polyrhiza has been chosen as a model organism. It's genome along with other genomic tools are available online at spirodelagenome.org.

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