The soybean transcriptogram allows a wide genome‑to‑single‑gene analysis that evinces time‑dependent drought response
2022
Oliveira, Luisa Abruzzi de | Almeida, Rita Maria Cunha de | Weber, Ricardo Luís Mayer | Favero, Débora | Bredemeier, Christian | Giordano, Cecília Paz da Silva | Bodanese-Zanettini, Maria Helena
The drought response is a genome-wide phenomenon that, due to its complexity, is hard to achieve a “universal” response requiring an analysis method that takes this characteristic into account. Here, the Transcriptogramer tool was used to (i) produce a Glycine max ordering list based on protein–protein associations and (ii) analyze transcriptome data from soybean roots submitted to dehydration for 1, 6, and 12 h in a genome-wide scale. Sixteen, fve, and six gene ontology (GO) categories were diferentially expressed at 1, 6, and 12 h of drought stress, respectively. The most enriched GO categories are cell divi sion, cell cycle, cell wall organization, stress responses, hormone signaling pathways, phosphorelay signal transduction, and regulation of gene expression. In total, 274 genes were diferentially expressed (DE). The list includes 15 calcium-binding proteins, 17 TIFY, 3 ABA receptors, 5 E2 ubiquitin-conjugatin enzymes, 2 E3 ligases, 4 proteasome regulatory subunits, 1 chloroplastic superoxide dismutase, 1 peroxidase, and 10 thioredoxin-encoding genes already known to be related to drought response. The Transcriptogramer has evinced a global reprogrammed transcriptome and revealed that the most observable efects of water defcit occur during the frst hour.
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تم تزويد هذا السجل من قبل Universidade Federal do Rio Grande do Sul
