(Because of my retirement, this database may be switched of any time after July 1st 2023. Reinhard Hehl)
PathoPlant is a database on plant-pathogen interactions and components of signal
transduction pathways related to plant pathogenesis. PathoPlant also harbors gene
expression data from Arabidopsis thaliana microarray experiments to enable
searching for specific genes regulated upon certain stimuli like pathogen infection, elicitor
treatment, or abiotic stress. Validation of short DNA sequences as cis-elements
responsive to different stimuli can also be performed in PathoPlant.
Current database content:
Table
No. of records
plants
99
pathogens
107
interactions
350
molecules
638
reactions
370
stimuli
173
references
619
comments
22
hyperlinks
2588
Last database update: 01.04.2016 18:07:46
Please cite PathoPlant and results obtained by the use of the database as:
Bolívar JC, Machens F, Brill Y, Romanov A, Bülow L, Hehl R. 2014. ‘In silico expression analysis’, a novel PathoPlant web-tool to identify abiotic and biotic stress conditions associated with specific cis-regulatory sequences.
Database (Oxford), 2014:bau030.PDF (1500KB)PubMed
Bülow L, Schindler M, Hehl R. 2007. PathoPlant: a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses.
Nucleic Acids Res. 35: D841-845.PDF (310 KB)PubMed