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Community-Based 16S rDNA Fingerprinting Analysis of Geographically Distinct Marine Sediments of Unexplored Coastal Regions of Palk Bay and Gulf of Mannar
The present study aims to carefully delineate the bacterial community composition in marine sediments from different geographical coastal regions of Palk Bay and Gulf of Mannar that are known for human recreational activities. Bacterial richness in different marine sediments was assessed using 16S r...
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Published in: | Current microbiology 2022-02, Vol.79 (2), p.60-60, Article 60 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The present study aims to carefully delineate the bacterial community composition in marine sediments from different geographical coastal regions of Palk Bay and Gulf of Mannar that are known for human recreational activities. Bacterial richness in different marine sediments was assessed using 16S rRNA gene-based Denaturing Gradient Gel Electrophoresis (DGGE) which is a widely deployed fingerprinting technique. The DGGE profiles revealed that the bacterial community profiles of sediment from different coastal regions were complex and dynamic. The most dominant phylum present in the marine sediment samples were Proteobacteria followed by Cyanobacteria, Bacteriodetes, Firmicutes, Acidobacteria, and Actinobacteria. Cosmopolitan presence of
Thioalkalivibrio
sp. was observed in all the marine sediments. Sequencing of the abundant band reveals the presence of
Vibrio
spp. in all the marine sediments. Comparative illumina data analysis revealed the presence of 51 different
Vibrio
species in which
Vibrio alginolyticus
holds the highest abundance (67.2%) followed by
V. harveyi
(13.5%). This is the one of the very few reports that compared the complex microbial community composition of the marine sediments of different geographical regions of unexplored coastal region. Further in-depth analysis needs to be taken to understand the presence of complex microbial compositions and their functions through high-throughput whole metagenome sequencing and metaproteomic approaches. |
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ISSN: | 0343-8651 1432-0991 |
DOI: | 10.1007/s00284-021-02692-6 |