Titlebook: Methods in Actinobacteriology; Dhanasekaran Dharumadurai Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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Isolation of Gut Actinobacteria from Fishes,res of gut actinobacteria in fishes are dependent on the sediment composition and fauna residue present in the water body. This is due to the fact that most fishes previously analysed for the composition of gut actinobacteria were detritivore and herbivore feeders. Various methods have been employed

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Isolation of Actinobacteria from Mangrove Plants, can be isolated by mostly chemical treatment for surface sterilization followed by serial dilution. Strategies for a range of isolation methods have been mentioned for the discovery of various genera of Actinobacteria.

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Methods for Isolation of Epiphytic Actinobacteria from Rhizosphere of Spermatophytes,growth, such as bioremediation of toxic compounds, biomedical use by producing antibiotics leading to drug development, and also biological pest control as they produce important metabolic compounds, hence are also used in industries like food, textile, paper, detergents, pharmaceuticals, and bioche

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Tamalika Chakraborty,Sumana Roy,Dipanjan Mandal,Jeenatara Begum,Abhijit Senguptaume I. The second volume has emphasized studies of the immune response and effector functions, IgA biosynthesis and transport, IgA proteases and effector functi978-1-4684-5346-1978-1-4684-5344-7Series ISSN 0065-2598 Series E-ISSN 2214-8019

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Agronomy

Tamalika Chakraborty,Sumana Roy,Dipanjan Mandal,Jeenatara Begum,Abhijit Senguptaquency of national and international symposia devoted to this subject. Particularly encouraging are the large numbers of young investigators who have chosen to work in this area of theoretical immunology with profound practical implications. The two volumes represented here are the result of an Inte

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Aparana Kumari,K. V. Bhaskara Raotify the complex characteristics of complex systems, such as multi-state properties, epistemic uncertainties, common cause failures (CCFs), etc. This chapter focuses on the reliability analysis of complex multi-state system (MSS) with epistemic uncertainty and CCFs. Based on the Bayesian network (BN