Indian Society of Genetics & Plant Breeding
Late blight of potato, caused by Phytophthora infestans, is
responsible for high economic loss world-wide. The
expression of late blight susceptibility genes (S-genes) in
potato cultivars during the infection often favours the
pathogenicity. Thus, the identification of the host S-genes,
required to enhance susceptibility towards the pathogens
under compatible interaction, is highly essential to control
the infection. However, to our limited knowledge, fewer
late blight S-genes have been identified in potato till date.
Therefore, an attempt was made here to identify such genes
through a two step classification approach using the
primary and derived sequence information of potato
proteins. The results revealed that WRKY transcription factor
6, Catalase protein, Shaggy-Like protein kinase NtK-1 and
OTU-Like Cysteine protease were found closer to the
candidate susceptibility proteins (S-proteins). These
proteins were also classified into susceptible category when
validated through the computer intensive techniques like
Support Vector Machine, Random Forest and Artificial Neural
Network. The EST database search for the above proteins
has confirmed their expression under the compatible
interaction. Besides, the chromosomal locations of the
genes encoding these proteins were also identified, so that,
the information can be utilized to develop the resistant
cultivars. Thus, the predicted S-genes can be used as
potential effector targets for late blight resistance in potato.
Keywords: Phytophthora infestans, cluster analysis, S-genes, compatible interaction, computer intensive techniques
Year: 2014
Volume: 74
Issue: 2
Article DOI: 10.5958/0975-6906.2014.00160.6
Print ISSN: 0019-5200
Online ISSN: 0975-6906
Tanmaya Kumar Sahu, A. R. Rao, Sasmita Dora, Satakshi Gupta and Anil Rai info_circle
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