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Microbial community and predictive functionalities associated with the marine sediment of Coastal Gujarat.
Raiyani, Nirali M; Singh, Satya P.
Affiliation
  • Raiyani NM; UGC-CAS Department of Biosciences, Saurashtra University, Rajkot, 360 005, Gujarat, India.
  • Singh SP; UGC-CAS Department of Biosciences, Saurashtra University, Rajkot, 360 005, Gujarat, India. satyapsingh@yahoo.com.
Environ Sci Pollut Res Int ; 30(15): 43245-43266, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36650368
ABSTRACT
Marine sediments are complex ecosystems where structures and functions constantly change due to natural and anthropogenic influences. In this investigation, a comprehensive and comparative analysis of the bacterial communities and their functional potential of the pristine and polluted marine sediments were carried out using MiSeq. The phylum Proteobacteria was dominant in all study sites. Other phyla were Actinobacteria, Bacteroidetes, Planctomycetes, Acidobacteria, Chloroflexi, Nitrospirae, Cyanobacteria, Verrucomicrobia, Tenericutes, and Chlorobi. Interestingly, about 50% of genera belong to the unclassified categories. The key genera were identified as Acinetobacter, Bacillus, Pseudomona, Idiomarina, Thalassospira, and Marinobacter, Halomonas, Planctomyces, Psychrobacter, and Vogesella. PICRUSt analysis revealed that major functions are associated with the metabolism category. Additionally, metabolism related to amino acids, carbohydrates, energy generation, xenobiotics degradation, nitrogen, sulfate, and methane were prominent. Similarly, the predicted metabolisms by COG and KEGG were observed in the microbial communities of the marine sediments. To date, a comprehensive description of the microbial life with metabolic potential in these study sites has not been investigated. This study therefore significantly adds to our understanding of the microbiome and its functional attributes of marine sediments.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyanobacteria / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyanobacteria / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: India