alexa A Tale of Effectors; Their Secretory Mechanisms and Computational Discovery in Pathogenic, Non-Pathogenic and Commensal Microbes | OMICS International | Abstract
ISSN: 2168-9547

Molecular Biology: Open Access
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Research Article

A Tale of Effectors; Their Secretory Mechanisms and Computational Discovery in Pathogenic, Non-Pathogenic and Commensal Microbes

Swati Bhowmick1, Sucheta Tripathy2*

1National Institute of Cholera and Enteric Diseases; P-33, C.I.T. Road, Scheme XM, Beliaghata, Kolkata 700 010, India

2Indian Institute of Chemical Biology (Council of Scientific & Industrial Research); 4, Raja S. C. Mullick Road, Kolkata-32, India

Corresponding Author:
Sucheta Tripathy
Indian Institute of Chemical Biology (Council of Scientific & Industrial Research)
4, Raja S. C. Mullick Road, Kolkata-32, India
Tel: +91 33 2473 0492
Fax: +91 33 2473 5197,+91 33 2472 3967
E-mail: [email protected]

Received date: May 09, 2014; Accepted date: July 24, 2014; Published date: July 27, 2014

Citation: Bhowmick S, Tripathy S (2014) A Tale of Effectors; Their Secretory Mechanisms and Computational Discovery in Pathogenic, Non-Pathogenic and Commensal Microbes. Mol Biol 3:118. doi:10.4172/2168-9547.1000118

Copyright: © 2014 Swati B et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Secretory proteins that are involved in modulating hosts are called as effectors. Lately, finding these important proteins from a large array of other gene products have been a focus area in many high funding research programs. However, since the biological data is accumulating at a much faster rate now than ever before, this search process can be compared to finding a needle in the haystack. Conventional laboratory-based methods require critical experiments, extended time and high cost which in many cases result in failure of testing hypothesis. Using high throughput sequencing technologies,whole genome sequences are generated much more quickly and efficiently. The avalanche of genomics data has ushered new opportunities into discovery of large number of novel extra cellular secretory proteins that usually lie undetected with conventional methods. Recently powerful bioinformatics methods have emerged that can predict effectors from whole genome data of pathogens, commensal, symbiotic and environmental microorganisms much easily. In this review, we present a broad overview of these biological molecules that modulates host response in different ways in many organisms – pathogenic, non-pathogenic and commensal. We also catalogue the motifs associated with many secretory mechanisms and their prediction algorithms.

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