Evidence map›Paper›PMID 27790196›Full record

ArticleFrontiers in microbiology2016

Molecular Detection and Environment-Specific Diversity of Glycosyl Hydrolase Family 1 β-Glucosidase in Different Habitats.

Rameshwar Tiwari, Kanika Kumar, Surender Singh, Lata Nain, Pratyoosh Shukla

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. β-Glucosidase Activity ofFoods (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Insights into Glucose-6-phosphate Allosteric Activation of β-Glucosidase A.Journal of chemical information and modeling · 2021
    Article
  9. Article
  10. Probing the role of an invariant active site His in family GH1 β-glycosidases.Journal of enzyme inhibition and medicinal chemistry · 2019
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rameshwar TiwariEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand UniversityRohtak, India; Division of Microbiology, ICAR-Indian Agricultural Research InstituteNew Delhi, India.
Kanika KumarICAR-National Research Centre on Plant Biotechnology, LBS Centre, Indian Agricultural Research Institute New Delhi, India.
Surender SinghDivision of Microbiology, ICAR-Indian Agricultural Research Institute New Delhi, India.
Lata NainDivision of Microbiology, ICAR-Indian Agricultural Research Institute New Delhi, India.
Pratyoosh ShuklaEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University Rohtak, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

β-glucosidase is a crucial element of the microbial cellulose multienzyme complex since it is responsible for the regulation of the entire cellulose hydrolysis process. Therefore, the aim of the present work was to explore the diversity and distribution of glycosyl hydrolase family 1 β-glucosidase genes in three different environmental niches including, Himalayan soil, cow dung and compost by metagenomic approach. Preliminary evaluation through metabolic profiling using BIOLOG based utilization patterns of carbon, nitrogen, phosphorus and sulfur revealed the environment and substrate specific nature of the indigenous microbial population. Furthermore, clonal library selection, screening and sequence analysis revealed that most of the GH1 β-glucosidase proteins had low identities with the available database. Analysis of the distribution of GH1 β-glucosidase gene fragments and β-glucosidase producing microbial community revealed the environment specific nature. The OTUs obtained from Himalayan soil and compost metagenomic libraries were grouped into 19 different genera comprising 6 groups. The cow dung sample displayed the least diversity of GH1 β-glucosidase sequences, with only 14 genera, distributed among three groups- Bacteroidetes, Firmicutes, and Actinobacteria. The metagenomic study coupled with metabolic profiling of GH1 β-glucosidase illustrated the existence of intricate relationship between the geochemical environmental factors and inherent microbial community.

Indexed as

GH1 β-glucosidasemetabolic profilingmetagenomicsmicrobial communityoperational taxonomic units

Identifiers

PMID27790196
PMCPMC5062022

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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.