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Comparative secretome prediction and analysis of two Phytophthora spp.

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Title Comparative secretome prediction and analysis of two Phytophthora spp.
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Creator Kumar Aravind; Rahul C. U.; Merin Babu; Tony Grace; Rajesh M. K.
 
Subject Phytophthora spp.; CSPs; NCSPs; SSPs.
 
Description Not Available
Phytophthora spp. are widely distributed pathogens causing some of the most devastating diseases in
plants. They accomplish parasitic colonization in hosts by virtue of an array of signaling proteins. Secretome
analysis is one of the methods to attain molecular insights into species pathogenicity. In this study, we
have analyzed the proteome of two species viz., P. ramorum and P. sojae and predicted extracellular
secretory proteins particularly involved in hostpathogen interactions. The potential Phytophthora spp.
secretome comprising of both the classical and nonclassical secretory proteins was predicted with the aid
of a stringent computational pipeline.
Out of the 15,743 P. ramorum and 19,027 P. sojae proteins which were computationally analyzed in the
current study, 1396 (8.86%) and 1666 (8.75%) proteins were categorized as classical secretory proteins
(CSPs) while a total of 71 (0.45%) and 96 (0.50%) proteins were categorized as non-classical secretory
proteins (NCSPs) in P. ramorum and P. sojae respectively. In addition, 235 and 399 effector proteins
were also predicted from P. ramorum and P. sojae respectively. The functional annotation of the effector
proteins revealed the occurrence of SSPs (small specific proteins), virulence and avirulence factors
which could prove to be future target to control the pathogenicity and to decipher its role in host-parasite
interactions.
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Date 2019-10-30T10:16:06Z
2019-10-30T10:16:06Z
2017-08
 
Type Article
 
Identifier Research Journal Biotechnology, 2017, 12(8): 10-16.
0973-6263
http://krishi.icar.gov.in/jspui/handle/123456789/24221
 
Language English
 
Relation Not Available;
 
Publisher Not Available