Evidence map›Paper›PMID 32526936›Full record

ArticleMicroorganisms2020

Adaptive Enrichment of a Thermophilic Bacterial Isolate for Enhanced Enzymatic Activity.

Tanvi Govil, Priya Saxena, Dipayan Samanta, Sindhu Suresh Singh, Sudhir Kumar, David R Salem, Rajesh K Sani

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. ThermophilicFrontiers in microbiology · 2022
    Article
  3. A short critique on biomining technology for critical materials.World journal of microbiology & biotechnology · 2021
    Review
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

7 authors at 2 institutions in 2 countries.

Tanvi GovilDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.
Priya SaxenaDepartment of Biotechnology & Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh 173215, India.
Dipayan SamantaDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.
Sindhu Suresh SinghDepartment of Nanoscience and Nanoengineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.
Sudhir KumarDepartment of Biotechnology & Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh 173215, India.
David R SalemDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.
Rajesh K SaniDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.ORCID 0000-0002-5493-252X
South Dakota School of Mines and Technology · USJaypee University of Information Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mimicking of evolution on a laboratory timescale to enhance biocatalyst specificity, substrate utilization activity, and/or product formation, is an effective and well-established approach that does not involve genetic engineering or regulatory details of the microorganism. The present work employed an evolutionary adaptive approach to improve the lignocellulose deconstruction capabilities of the strain by inducing the expression of laccase, a multicopper oxidase, in

Indexed as

adaptive laboratory evolutionGeobacilluslaccaselignocellulosicthermophile

Identifiers

PMID32526936
PMCPMC7355623
OpenAlexW3034472354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.