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International Journal of Biological Macromolecules
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Metagenomic analysis of geothermal water reservoir sites exploring carbohydrate-related thermozymes

Authors: Rajender S. Sangwan; Sudhir P. Singh; Girija Kaushal; Jitendra Kumar;

Metagenomic analysis of geothermal water reservoir sites exploring carbohydrate-related thermozymes

Abstract

Hot springs are geothermally heated underground water that create a natural habitat for diverse thermophilic microorganisms. The study presents a comprehensive investigation of microbial diversity and functional potential of four thermal water reservoirs of 55 to 98 °C temperature range, located in Tattapani geothermal field of Chhattisgarh, India, by using culture-independent metagenome sequencing approach. The MG-RAST taxonomic profiling of metagenome samples revealed the predominance of bacterial domains (94.8 to 98.2%), followed by archaea (1.1 to 4.8%), eukaryota (0.1 to 0.5%), and viruses (0.04 to 0.09%). The quality filtered reads (42.1 to 68.1 million) were assembled into 66 to 330 thousand non-redundant contigs (>200 bp length) in the four metagenome samples. The functional annotation using CAZy database identified a total of 4083 putative genes with functional domains involved in catalysis of carbohydrate degradation or modification or synthesis of glycosidic bonds. The study detected many novel biocatalysts associated with hydrolysis of lignocellulosic biomass polymers- cellulose, hemicellulose, lignin, and pectin. Metagenome assembly and catalytic functions of two metagenomic contigs, encoding β-glucosidase, and xylanase, were experimentally validated. The findings emphasized these geothermal water reservoir sites as the repository of biocatalyst-encoding genes of carbohydrate-related and lignocellulosic biomass processing significance.

Keywords

Models, Molecular, Hot Temperature, Protein Conformation, Hydrolysis, Computational Biology, Catalysis, Hot Springs, Enzymes, Structure-Activity Relationship, Gene Ontology, Enzyme Stability, Carbohydrate Metabolism, Metagenome, Biomass, Metagenomics, Water Microbiology

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Top 10%