Evidence map›Paper›PMID 36933058›Full record

ArticleMolecular genetics and genomics : MGG2023

Microbial community structure and exploration of bioremediation enzymes: functional metagenomics insight into Arabian Sea sediments.

Karpaga Raja Sundari Balachandran, Sai H Sankara Subramanianan, Magesh Peter Dhassiah, Abilasha Rengarajan, Muthukumar Chandrasekaran, Vijaya Raghavan Rangamaran, Dharani Gopal

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Article in Molecular genetics and genomics : MGG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Karpaga Raja Sundari Balachandran *Marine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India.
Sai H Sankara Subramanianan *Marine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India.
Magesh Peter DhassiahMarine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India.
Abilasha RengarajanDepartment of Biotechnology, School of Chemical and Biotechnology, SASTRA University, Tanjore, 613401, India.
Muthukumar ChandrasekaranNational Center for Coastal Research (NCCR), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India.
Vijaya Raghavan RangamaranMarine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India. vijayar@niot.res.in.ORCID http://orcid.org/0000-0002-8742-9365
Dharani GopalMarine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Pallikaranai, Chennai, 600100, India. dhara@niot.res.in.
National Institute of Ocean Technology · INGovernment of India · INSASTRA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep-sea sediments provide important information on oceanic biogeochemical processes mediated by the microbiome and their functional roles which could be unravelled using genomic tools. The present study aimed to delineate microbial taxonomic and functional profiles from Arabian Sea sediment samples through whole metagenome sequencing using Nanopore technology. Arabian Sea is considered as a major microbial reservoir with significant bio-prospecting potential which needs to be explored extensively using recent advances in genomics. Assembly, co-assembly, and binning methods were used to predict Metagenome Assembled Genomes (MAGs) which were further characterized by their completeness and heterogeneity. Nanopore sequencing of Arabian Sea sediment samples generated around 1.73 tera basepairs of data. Proteobacteria (78.32%) was found to be the most dominant phylum followed by Bacteroidetes (9.55%) and Actinobacteria (2.14%) in the sediment metagenome. Further, 35 MAGs from assembled and 38 MAGs of co-assembled reads were generated from long-read sequence dataset with major representations from the genera Marinobacter, Kangiella, and Porticoccus. RemeDB analysis revealed a high representation of pollutant-degrading enzymes involved in hydrocarbon, plastic and dye degradation. Validation of enzymes with long nanopore reads using BlastX resulted in better characterization of complete gene signatures involved in hydrocarbon (6-monooxygenase and 4-hydroxyacetophenone monooxygenase) and dye degradation (Arylsulfatase). Enhancing the cultivability of deep-sea microbes predicted from the uncultured WGS approaches by I-tip method resulted in isolation of facultative extremophiles. This study presents a comprehensive insight into the taxonomic and functional profiles of Arabian Sea sediments, indicating a potential hotspot for bioprospection.

Indexed as

MetagenomicsMicrobiotaBacteriaBiodegradation, EnvironmentalHydrocarbonsHydrocarbonsArabian Sea metagenomeBioremediationLong-readNanoporeWGS

Identifiers

PMID36933058
OpenAlexW4327811681

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.