Evidence map›Paper›PMID 33616690›Full record

ArticleCurrent microbiology2021

Whole-Genome Sequence Analysis of Paenibacillus alvei JR949 Revealed Biosynthetic Gene Clusters Coding for Novel Antimicrobials.

Parameswaran Sree Pranav, Balasubramanian Mahalakshmi, Ramamoorthy Sivakumar, Raman Karthikeyan, Jeyaprakash Rajendhran

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Article in Current microbiology, 2021. 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
–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

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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.

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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.

Parameswaran Sree PranavDepartment of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.ORCID http://orcid.org/0000-0002-6696-7973
Balasubramanian MahalakshmiDepartment of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.ORCID http://orcid.org/0000-0003-2793-5562
Ramamoorthy SivakumarDepartment of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.ORCID http://orcid.org/0000-0002-8359-1701
Raman KarthikeyanDepartment of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.ORCID http://orcid.org/0000-0002-4133-8767
Jeyaprakash RajendhranDepartment of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai, India. jrajendhran@gmail.com.ORCID http://orcid.org/0000-0002-1898-1607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increased prevalence of multidrug-resistant pathogens poses a significant clinical threat, and hence, the discovery of novel antibiotics is the need of the hour. Several attempts are being made worldwide to screen and identify newer antibiotics from various microbial sources. The genus Paenibacillus is known for its biosynthetic potential and metabolic versatility in producing several secondary metabolites. In this study, we isolated Paenibacillus alvei strain JR949 from the soil, which exhibited antimicrobial activity against Enteropathogenic Escherichia coli (EPEC), Pseudomonas aeruginosa (PAO1), and methicillin-resistant Staphylococcus aureus (MRSA). The whole genome of this strain was sequenced using the Illumina platform. The genome mining of the draft genome sequence revealed a total of 31 biological gene clusters (BGCs) responsible for the synthesis of secondary metabolites. The construction of the similarity network of the BGCs and the comparative analysis with the genetically related strains aided the identification of metabolites produced by this strain. We identified BGCs coding for paenibactin, paenibacterin, anabaenopeptin NZ857, icosalide A/B, polymyxin, and bicornutinA1/A2 with 100% similarity. The BGCs with lower sequence similarity to paenibacterin, polymyxin B, colistin A/B, pellasoren, tridecaptin, pelgipeptin, and marthiapeptide were also identified. Furthermore, 13 putative NRPS BGCs, 3 NRPS-T1PKS hybrid clusters, a T1PKS, and a bacteriocin BGC were identified with very low similarity (≤ 25%) or no similarity with known antibiotics. Further experimental investigations may result in the discovery of novel antimicrobial drugs.

Indexed as

Anti-Infective AgentsMethicillin-Resistant Staphylococcus aureusPaenibacillusMultigene FamilySequence AnalysisAnti-Infective Agents

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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.