Bioengineering the food of the future.
The fundamental aim of this study is to quantify the genetic regulatory remodeling induced by exposure to 1,369-2,000 microsieverts which may be used to isolate diagnostic and therapeutic targets for modification; ultimately, this framework for genetically engineering possible small-scale agricultural crops will eliminate the requirement of extensive radiation shielding materials in enclosing complexes. In addition, we are developing bioreactors for growing Glycine Max, and other foods in hydroponic systems.
Our study employs genome-wide RNA sequencing data of Vigna radiata, Phaseolus vulgaris, Zea mays, Triticum aestivum, Nicotiana tabacum, Lemna minor, Petroselinum crispum, Apium graveolens, and Anethum graveolens for deep transcriptomic analysis of the biologic response to varied levels of radiation. The initial raw sequencing data was aligned to the respective genome assemblies and the resulting quantified expression data was log transformed and normalized.
To identify differentially expressed genes between the aforementioned radiation exposed and non-exposed plant groups, criteria moderated t-statistics false discovery rate corrected p-value ≤ 0.05 and Fold Change absolute (FC-abs) ≥ 2.0 was directed for statistical significance. To recognize the functional consequence of the genes whose expression was altered, function annotation and upstream regulator analysis was performed followed by the enrichment significance calculations for the directionality of activation in coupled gene networks.