Dataset Information

Isolation of highly thermostable ?-xylosidases from a hot spring soil microbial community using a metagenomic approach.

ABSTRACT: The DNA extracted from a high-temperature environment in which micro-organisms are living will be a good source for the isolation of thermostable enzymes. Using a metagenomic approach, we aimed to isolate thermostable ?-xylosidases that will be exploited for biofuel production from lignocellulosic biomass. DNA samples obtained from the soil near a spout of a hot spring (70°C, pH7.2) were subjected to sequencing, which generated a total of 84.2 Gbp with 967,925 contigs of?>500?bp in length. Similarity search for ?-xylosidase in the contigs revealed the presence of 168 candidate sequences, each of which may have arisen from more than one gene. Individual genes were amplified by PCR using sequence-specific primers. The resultant DNA fragments were cloned and introduced into Escherichia coli BL21 Star(DE3). Consequently, 269 proteins were successfully expressed in the E. coli cells and then examined for ?-xylosidase activity. A total of 82 proteins exhibited ?-xylosidase activity at 50°C, six of which retained the activity even at 90°C. Out of the six, three proteins were originated from a single candidate sequence, AR19M-311. An amino acid sequence comparison suggested the amino acid residues that appeared to be crucial for thermal stability of the enzymes.

SUBMITTER: Sato M

PROVIDER: S-EPMC5726482 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Isolation of highly thermostable β-xylosidases from a hot spring soil microbial community using a metagenomic approach.

Sato Masaru M Suda Migiwa M Okuma Jiro J Kato Tomohiko T Hirose Yoshitsugu Y Nishimura Asuka A Kondo Yasuhiko Y Shibata Daisuke D

DNA research : an international journal for rapid publication of reports on genes and genomes 20171201 6

The DNA extracted from a high-temperature environment in which micro-organisms are living will be a good source for the isolation of thermostable enzymes. Using a metagenomic approach, we aimed to isolate thermostable β-xylosidases that will be exploited for biofuel production from lignocellulosic biomass. DNA samples obtained from the soil near a spout of a hot spring (70°C, pH7.2) were subjected to sequencing, which generated a total of 84.2 Gbp with 967,925 contigs of >500 bp in length. Simil ...[more]

PMID: 29106502

Similar Datasets

Project description:BackgroundWater springs provide important ecosystem services including drinking water supply, recreation, and balneotherapy, but their microbial communities remain largely unknown. In this study, we characterized the spring water microbiome of Comano Terme (Italy) at four sampling points of the thermal spa, including natural (spring and well) and human-built (storage tank, bathtubs) environments. We integrated large-scale culturing and metagenomic approaches, with the aim of comprehensively determining the spring water taxonomic composition and functional potential.ResultsThe groundwater feeding the spring hosted the most atypical microbiome, including many taxa known to be recalcitrant to cultivation. The core microbiome included the orders Sphingomonadales, Rhizobiales, and Caulobacterales, and the families Bradyrhizobiaceae and Moraxellaceae. A comparative genomic analysis of 72 isolates and 30 metagenome-assembled genomes (MAGs) revealed that most isolates and MAGs belonged to new species or higher taxonomic ranks widely distributed in the microbial tree of life. Average nucleotide identity (ANI) values calculated for each isolated or assembled genome showed that 10 genomes belonged to known bacterial species (> 95% ANI), 36 genomes (including 1 MAG) had ANI values ranging 85-92.5% and could be assigned as undescribed species belonging to known genera, while the remaining 55 genomes had lower ANI values (< 85%). A number of functional features were significantly over- or underrepresented in genomes derived from the four sampling sites. Functional specialization was found between sites, with for example methanogenesis being unique to groundwater whereas methanotrophy was found in all samples.ConclusionsCurrent knowledge on aquatic microbiomes is essentially based on surface or human-associated environments. We started uncovering the spring water microbiome, highlighting an unexpected diversity that should be further investigated. This study confirms that groundwater environments host highly adapted, stable microbial communities composed of many unknown taxa, even among the culturable fraction.

Project description:The Sembawang Hot Spring in Singapore lies at the foot of a major regional geological feature called the Bentong-Raub Suture Zone. Amid an extensively managed surface geothermal park, an undisturbed hot spring emerges with source water at 61°C, pH 6.8, and 1 mg/L dissolved sulfide. A small main pool at the source supported orange-green benthic flocs, whereas the outflow channel with gradually less extreme environmental stress supported extensive vivid green microbial mats. Microscopy revealed that cyanobacterial morphotypes were distinct in flocs and mats at several intervals along the environmental gradient, and we describe a spiraling pattern in the oscillatorian cyanobacteria that may reflect response to poly-extreme stress. Estimation of diversity using 16S rRNA gene sequencing revealed assemblages that were dominated by phototrophic bacteria. The most abundant taxa in flocs at 61°C/1 mg/L sulfide were Roseiflexus sp. and Thermosynechococcus elongatus, whilst the mats at 45.7-55.3°C/0-0.5 mg/L sulfide were dominated by Oscillatoriales cyanobacterium MTP1 and Chloroflexus sp. Occurrence of diverse chemoautotrophs and heterotrophs reflected known thermal ranges for taxa, and of note was the high abundance of thermophilic cellulolytic bacteria that likely reflected the large allochthonous leaf input. A clear shift in ASV-defined putative ecotypes occurred along the environmental stress gradient of the hot spring and overall diversity was inversely correlated to environmental stress. Significant correlations for abiotic variables with observed biotic diversity were identified for temperature, sulfide, and carbonate. A network analysis revealed three putative modules of biotic interactions that also reflected the taxonomic composition at intervals along the environmental gradient. Overall, the data indicated that three distinct microbial communities were supported within a small spatial scale along the poly-extreme environmental gradient. The findings add to the growing inventory of hot spring microbiomes and address an important biogeographic knowledge gap for the region.

Dataset Information

Isolation of highly thermostable ?-xylosidases from a hot spring soil microbial community using a metagenomic approach.

Publications

Isolation of highly thermostable β-xylosidases from a hot spring soil microbial community using a metagenomic approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets