Evidence map›Paper›PMID 34782960›Full record

ArticleMolecular biotechnology2022

Genomic Organization of Streptomyces flavotricini NGL1 and Streptomyces erythrochromogenes HMS4 Reveals Differential Plant Beneficial Attributes and Laccase Production Capabilities.

Richa Salwan, Randhir Kaur, Vivek Sharma

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Richa SalwanCollege of Horticulture and Forestry, Dr YS Parmar University of Horticulture & Forestry, Neri, Hamirpur, HP, 177 001, India. richaihbt332@gmail.com.
Randhir KaurUniversity Centre for Research and Development, Chandigarh University, Gharuan, Mohali, PB, 140 413, India.
Vivek SharmaUniversity Centre for Research and Development, Chandigarh University, Gharuan, Mohali, PB, 140 413, India. ankvivek@gmail.com.ORCID http://orcid.org/0000-0001-8016-2461
Chandigarh University · INDr. Yashwant Singh Parmar University of Horticulture and Forestry · IN

Funding

Science for Equity, Empowerment and Development Division SEED-TIASN-023-2018Science for Equity, Empowerment and Development Division SP/YO/125/2017
6 · The paper itself

Abstract

The genus Streptomyces has been explored in industrial sectors due to its endurance to environmental stresses, the production of a plethora of biomolecules, the biological remediation of soils, and alleviating plant stresses. The whole genome of NGL1 and HMS4 was sequenced due to the specific laccase activity against 2,6-dimethoxyphenol (2,6-DMP) and differential plant beneficial attributes. The deduced genome of 8.85 Mbp and 7.73 Mbp in size with a G+C content of 72.03% and 72.3% was obtained for NGL1 and HMS4, respectively. A total of 8438 and 7322 protein coding genes, 155 (130 tRNA, 25 rRNA) and 145 tRNA (121 tRNA, 24 rRNA) coding genes were predicted in NGL1 and HMS4, respectively. The comparative genomics of NGL1 and HMS4 showed 185 and 162 genes encoding for carbohydrate-active enzymes, respectively. The genomic ability of these strains to encode carbohydrate-active enzymes, laccase, and diversity of BGCs, along with plant beneficial attributes to suppress the plant pathogens can be used for several industrial and agricultural applications.

Indexed as

LaccaseStreptomycesGenomicsPhylogenyLaccaseActinobacteriaBiocontrolGenomeLaccase

Identifiers

PMID34782960
OpenAlexW3212830069

What OpenQuestion holds

Textmetadata
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.