Evidence map›Paper›PMID 35394575›Full record

ReviewMarine biotechnology (New York, N.Y.)2022

Exploring Newer Biosynthetic Gene Clusters in Marine Microbial Prospecting.

Manigundan Kaari, Radhakrishnan Manikkam, Abirami Baskaran

Abstract readReview
PubMed Publisher
In one paragraph

Review in Marine biotechnology (New York, N.Y.), 2022. 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
2.1field-weighted citation impact, top 15% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Co-existence of two antibiotic-producing marine bacteria:Applied and environmental microbiology · 2024
    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

3 authors at 1 institution in 1 country.

Manigundan KaariCentre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India.
Radhakrishnan ManikkamCentre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India. mrkactinos@gmail.com.ORCID http://orcid.org/0000-0001-7616-8254
Abirami BaskaranCentre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India.
Sathyabama Institute of Science and Technology · IN

Funding

Ministry of Earth Sciences MoES-NCPOR/R.No. NCPOR/2019/PACER-POP/BS-08 dated 05-07-2019
6 · The paper itself

Abstract

Marine microbes genetically evolved to survive varying salinity, temperature, pH, and other stress factors by producing different bioactive metabolites. These microbial secondary metabolites (SMs) are novel, have high potential, and could be used as lead molecule. Genome sequencing of microbes revealed that they have the capability to produce numerous novel bioactive metabolites than observed under standard in vitro culture conditions. Microbial genome has specific regions responsible for SM assembly, termed biosynthetic gene clusters (BGCs), possessing all the necessary genes to encode different enzymes required to generate SM. In order to augment the microbial chemo diversity and to activate these gene clusters, various tools and techniques are developed. Metagenomics with functional gene expression studies aids in classifying novel peptides and enzymes and also in understanding the biosynthetic pathways. Genome shuffling is a high-throughput screening approach to improve the development of SMs by incorporating genomic recombination. Transcriptionally silent or lower level BGCs can be triggered by artificially knocking promoter of target BGC. Additionally, bioinformatic tools like antiSMASH, ClustScan, NAPDOS, and ClusterFinder are effective in identifying BGCs of existing class for annotation in genomes. This review summarizes the significance of BGCs and the different approaches for detecting and elucidating BGCs from marine microbes.

Indexed as

DNA ShufflingMultigene FamilyBiosynthetic PathwaysComputational BiologySecondary MetabolismBiosynthetic gene clustersGenome mimingMarine microorganismsOmics approachSecondary metabolites

Identifiers

PMID35394575
OpenAlexW4225874213

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.