Evidence map›Paper›PMID 29896530›Full record

ArticleData in brief2018

Bioinformatics delimitation of the psychrophilic and psychrotolerant actinobacteria isolated from the Polar Frontal waters of the Southern Ocean.

Palaniappan Sivasankar, Bhagwan Rekadwad, Subramaniam Poongodi, Kannan Sivakumar, Bhaskar Venkateswaran Parli, N Anil Kumar

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Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Palaniappan SivasankarDepartment of Environmental Science, Periyar University, Periyar Palkalai Nagar, Salem 636011, Tamil Nadu, India.
Bhagwan RekadwadNational Centre for Microbial Resource, National Centre for Cell Science, Pune 411021, India.
Subramaniam PoongodiCentre of Advanced Study in Marine Biology, Faculty of Marine Sciences, Annamalai University, Parangipettai 608502, Tamil Nadu, India.
Kannan SivakumarCentre of Advanced Study in Marine Biology, Faculty of Marine Sciences, Annamalai University, Parangipettai 608502, Tamil Nadu, India.
Bhaskar Venkateswaran ParliNational Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gama, Goa 403804, India.
N Anil KumarNational Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gama, Goa 403804, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of microorganisms plays a key role in the determination of the composition of microbial diversity for bioprospecting of biotechnologically important biomolecules. Digitalization is the process that solve discrepancies in microbial identification and cataloguing their diversity in distinct ecological habitats. In view of this connection, the psychrophilic and psychrotolerant actinobacteria were isolated from the water samples of the Polar Frontal region of the Southern Ocean. 16S rRNA gene sequencing for identification of psychrophiles was carried out and sequences were deposited in NCBI GeneBank. 16S rRNA gene sequences were used to create QR codes, CGR, FCGR and GC plot. This generated digital data help to relate the diversity amongst the isolated actinobacterial strains. The digital data showed considerable divergence among the actinobacterial strains. This generated bioinformatics data is helpful in the delimitation of the psychrophilic and psychrotolerant actinobacteria. Thus, the present study is a robust and accurate method for the identification of Polar microorganisms in a fixed boundary. Hence, this work will help to assign a unique digital identity to microorganisms in near future [9-19].

Indexed as

Antarctic OceanMarine ActinobacteriaPolar FrontPsychrophilePsychrotolerant

Identifiers

PMID29896530
PMCPMC5996221

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