Effector gene prediction from fungal pathogen genome assemblies
Testa, Alison Clare
Dr James Hane
Dr Simon Ellwood
Prof. Richard Oliver
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Department of Environment and Agriculture
Fungal phytopathogens interact with their hosts largely via the secretion of effectors, which manipulate and elicit plant defences. This research contributes to the discovery of effectors from fungal pathogen genome assemblies through improved fungal gene predictiontechniques, an investigation into AT-rich genome regions, relevant to the genomic context of effectors, and improved genomic resources and effector candidate lists for barley pathogens Pyrenophora teres f. teres and Pyrenophora teres f. maculata.
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Evaluation of secretion prediction highlights differing approaches needed for oomycete and fungal effectorsSperschneider, J.; Williams, A.; Hane, James; Singh, K.; Taylor, J. (2015)© 2015 Sperschneider, Williams, Hane, Singh and Taylor. The steadily increasing number of sequenced fungal and oomycete genomes has enabled detailed studies of how these eukaryotic microbes infect plants and cause devastating ...
Evaluation of Secretion Prediction Highlights Differing Approaches Needed for Oomycete and Fungal EffectorsSperschneider, J.; Williams, A.; Hane, James; Singh, K.; Taylor, J. (2015)The steadily increasing number of sequenced fungal and oomycete genomes has enabled detailed studies of how these eukaryotic microbes infect plants and cause devastating losses in food crops. During infection, fungal and ...
A comparative hidden Markov model analysis pipeline identifies proteins characteristic of cereal-infecting fungiSperscneider, J.; Gardiner, D.; Taylor, J.; Hane, James; Singh, K.; Manners, J. (2013)Background: Fungal pathogens cause devastating losses in economically important cereal crops by utilisingpathogen proteins to infect host plants. Secreted pathogen proteins are referred to as effectors and have thus farbeen ...