2011
DOI: 10.1007/s00438-011-0605-4
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Prediction of new abiotic stress genes in Arabidopsis thaliana and Oryza sativa according to enumeration-based statistical analysis

Abstract: Plants undergo an extensive change in gene regulation during abiotic stress. It is of great agricultural importance to know which genes are affected during stress response. The genome sequence of a number of plant species has been determined, among them Arabidopsis and Oryza sativa, whose genome has been annotated most completely as of yet, and are well-known organisms widely used as experimental systems. This paper applies a statistical algorithm for predicting new stress-induced motifs and genes by analyzing… Show more

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Cited by 3 publications
(1 citation statement)
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“…Assuming a random background nucleotide distribution, we would expect that motifs which occur in higher numbers than expected do so because they have experienced positive selective pressure due to the functionality they convey. Using the same reasoning, motifs which occur at the expected frequency or lower are considered biologically irrelevant [ 26 ]. The present work defines the motifomes of the three hominin subspecies—human, Neanderthal, and Denisovan—and predicts motifs which may take part in the regulation of gene sets that could cause phenotypic differences between the three subspecies.…”
Section: Resultsmentioning
confidence: 99%
“…Assuming a random background nucleotide distribution, we would expect that motifs which occur in higher numbers than expected do so because they have experienced positive selective pressure due to the functionality they convey. Using the same reasoning, motifs which occur at the expected frequency or lower are considered biologically irrelevant [ 26 ]. The present work defines the motifomes of the three hominin subspecies—human, Neanderthal, and Denisovan—and predicts motifs which may take part in the regulation of gene sets that could cause phenotypic differences between the three subspecies.…”
Section: Resultsmentioning
confidence: 99%