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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.

Papers
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Journal ArticleDOI

Secretion, modification, and regulation of Ax21.

Sang-Wook Han, +3 more
- 01 Feb 2011 - 
TL;DR: This work demonstrates the first example of a conserved microbial signature that binds a host receptor and is predicted to serve as an inducer of quorum sensing (QS), a process where bacteria communicate with one another.
Patent

Procedures and materials for conferring disease resistance in plants

Pamela C. Ronald, +3 more
TL;DR: In this paper, the present invention provides nucleic acids encoding polypeptides which confer resistance to Xanthomonas spp and other pathogens and can be used to produce transgenic plants resistant to the pathogen.
Journal ArticleDOI

The endoplasmic reticulum-quality control component SDF2 is essential for XA21-mediated immunity in rice.

Chang-Jin Park, +6 more
- 01 Sep 2013 - 
TL;DR: Co-purification experiments using C-terminal GFP tagged XA21 protein and several endoplasmic reticulum-quality control proteins including stromal-derived factor 2 (SDF2) co-purified with XA 21 found that silencing of the SDF2 genes in theXA21 rice genetic background compromises resistance to Xoo but does not affect plant growth and development.
Journal ArticleDOI

Markers for selection of the rice Xa21 disease resistance gene.

C. E. Williams, +5 more
- 01 Nov 1996 - 
TL;DR: Six molecular markers were mapped to a 7.4-cM region of rice chromosome 11 containing the Xa21 gene, which confers resistance to the pathogen Xanthomonas oryzae pvOryzae, which causes withering in Oryza longistaminata and O. sativa.
Journal ArticleDOI

Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy

Andreia M. Smith-Moritz, +11 more
- 18 Aug 2011 - 
TL;DR: A high throughput procedure that improves outlier detection in cell wall screens using FT-NIR spectroscopy of plant leaves using the Mahalanobis distance outlier scheme and a monosaccharide range predictive model using PLS regression is outlined.