Evidence map›Paper›PMID 39592922›Full record

ArticleBMC plant biology2024

Computational approach to identify novel genomic features conferring high fitness in Bacillus atrophaeus CNY01 and Bacillus velezensis AK-0 associated with plant growth promotion (PGP) in apple.

Vandana Apurva Das, Budhayash Gautam, Pramod Kumar Yadav, Pritish Kumar Varadwaj, Gulshan Wadhwa, Satendra Singh

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 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

6 authors.

Vandana Apurva DasDepartment of Computational Biology and Bioinformatics, JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, U.P., 211007, India.
Budhayash GautamDepartment of Computational Biology and Bioinformatics, JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, U.P., 211007, India.
Pramod Kumar YadavDepartment of Computational Biology and Bioinformatics, JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, U.P., 211007, India.
Pritish Kumar VaradwajBioinformatics Centre, Indian Institute of Information Technology-Allahabad, Prayagraj, 211015, India.
Gulshan WadhwaDepartment of Biotechnology, Ministry of Science and Technology, New Delhi, 110003, India. gulshan.dbt@nic.in.
Satendra SinghDepartment of Computational Biology and Bioinformatics, JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, U.P., 211007, India. satendra.singh@shiats.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comparative genomic analysis approach provides valuable information about genetic variations and evolutionary relationships among microorganisms, aiding not only in the identification of functional genes responsible for traits such as pathogenicity, antibiotic resistance, and metabolic capabilities but also in enhancing our understanding of microbial genomic diversity and their ecological roles, such as supporting plant growth promotion, thereby enabling the development of sustainable strategies for agriculture. We used two strains from different Bacillus species, Bacillus velezensis AK-0 and Bacillus atrophaeus CNY01, which have previously been reported to have PGP activity in apple, and performed comparative genomic analysis to understand their evolutionary process and obtain a mechanistic understanding of their plant growth-promoting activity. We identified genomic features such as mobile genetic elements (MGEs) that encode key proteins involved in the survival, adaptation and growth of these bacterial strains. The presence of genomic islands and intact prophage DNA in Bacillus atrophaeus CNY01 and Bacillus velezensis AK-0 suggests that horizontal gene transfer has contributed to their diversification and acquisition of adaptive traits, enhancing their evolutionary advantage. We also identified novel DNA motifs that are associated with key physiological processes and metabolic pathways.

Indexed as

BacillusGenome, BacterialMalusComputational BiologyGenetic FitnessGenomic IslandsGenomicsAverage nucleotide identity (ANI)Bacterial fitnessComparative genomic analysisDNA motifGenomic island (GI)Horizontal gene transfer (HGT)Plant growth promotion (PGP)Prophage

Identifiers

PMID39592922
PMCPMC11600929

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Registered trials

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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.