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Pamela C. Ronald

Researcher at University of California, Davis

Publications -  326
Citations -  31672

Pamela C. Ronald is an academic researcher from University of California, Davis. The author has contributed to research in topics: Xanthomonas oryzae & Gene. The author has an hindex of 83, co-authored 315 publications receiving 27600 citations. Previous affiliations of Pamela C. Ronald include Energy Institute & International Rice Research Institute.

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A conserved threonine residue in the juxtamembrane domain of the XA21 pattern recognition receptor is critical for kinase autophosphorylation and xa21-mediated immunity.

TL;DR: In this article, it was shown that the XA21 juxtamembrane (JM) domain is required for kinase autophosphorylation and that the replacement of Thr(705) by an alanine or glutamic acid abolishes XA 21 autophotonicity.
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Protein phosphorylation in plant immunity: insights into the regulation of pattern recognition receptor-mediated signaling.

TL;DR: The role of phosphorylation in regulating mitogen-associated protein kinase cascades and transcription factors in plant immune signaling is discussed and the importance of PRRs in this response is discussed.
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Biosynthesis and emission of insect-induced methyl salicylate and methyl benzoate from rice.

TL;DR: Results indicate that the jasmonic acid (JA) signaling pathway plays a critical role in regulating the production and emission of MeSA in rice, and the three-dimensional structure of OsBSMT1, which was determined using homology-based structural modeling, is highly similar to those of characterized SAMTs.
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Lab to farm: applying research on plant genetics and genomics to crop improvement.

TL;DR: How basic research advances have been translated into crop improvement is described, some lessons learned, and the potential for plant genetic improvement technologies to contribute to improved food security and agricultural sustainability is discussed.
Posted ContentDOI

The DOE Systems Biology Knowledgebase (KBase)

TL;DR: The KBase platform has extensible analytical capabilities that currently include genome assembly, annotation, ontology assignment, comparative genomics, transcriptomics, and metabolic modeling, and a software development kit allowing the community to add functionality to the system.