Evidence map›Paper›PMID 41193911›Full record

ArticleCurrent genetics2025

Genome characterization of Acinetobacter species from the rice rhizosphere: a potential plant growth promoting rhizobacteria (PGPR).

Jayateertha R Diwan, Mahadevaswamy, Shivashankaragouda Patil, Divya Bhanu, K Lavanya Devi, Santhosha N Hegde, P U Krishnaraj, R Namitha, Binod B Pradhan, Divya Vashisht

Abstract read
PubMed Publisher
In one paragraph

Article in Current genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jayateertha R DiwanDepartment of Genetics and Plant Breeding, College of Agriculture, Raichur, University of Agricultural Sciences (UAS), Raichur, Karnataka, India. diwan@rediffmail.com.ORCID http://orcid.org/0000-0002-2165-3751
MahadevaswamyDepartment of Agricultural Microbiology, College of Agriculture, Raichur, University of Agricultural Sciences (UAS), Raichur, Karnataka, India.
Shivashankaragouda PatilDepartment of Genetics and Plant Breeding, College of Agriculture, Raichur, University of Agricultural Sciences (UAS), Raichur, Karnataka, India.
Divya BhanuCentre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, Telangana, India.
K Lavanya DeviFunctional Genomics and Bioinformatics Group, The University of Trans-Disciplinary Health Sciences and Technology (TDU), Bangalore, Karnataka, India.
Santhosha N HegdeFunctional Genomics and Bioinformatics Group, The University of Trans-Disciplinary Health Sciences and Technology (TDU), Bangalore, Karnataka, India.
P U KrishnarajDepartment of Agricultural Microbiology, College of Agriculture, Dharwad, University of Agricultural Sciences (UAS), Dharwad, India.
R NamithaFunctional Genomics and Bioinformatics Group, The University of Trans-Disciplinary Health Sciences and Technology (TDU), Bangalore, Karnataka, India.
Binod B PradhanCentre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, Telangana, India.
Divya VashishtCentre for DNA Fingerprinting and Diagnostics (CDFD), Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant-microbe interactions in the rice rhizosphere play a pivotal role for crop productivity. Acinetobacter spp. are known for their plant growth-promoting (PGP) abilities, including phytostimulation, phosphate solubilization, and siderophore production. In this study, we isolated the bacterial strain Acinetobacter lwoffii DJPGP01 from rice rhizosphere soil and conducted comprehensive genome sequencing and analysis. Techniques included serial dilution for bacterial isolation, genomic DNA purification, and Illumina sequencing followed by whole genome data analysis. Genome assembly was performed using multiple assemblers with subsequent annotations through PROKKA and RAST, while pathway analysis utilized KEGG-KAAS server. The genome assembly revealed a high-quality sequence of 3.2 Mb with substantial coverage and a GC content of 43.06%. Species identification confirmed as Acinetobacter lwoffii, closely related to Acinetobacter lwoffii strain DSM 2403 based on 16S rRNA analysis. Antismash analysis identified five secondary metabolite gene clusters, potentially linked to PGP traits. Comparative genome analysis provided insights into the phylogenetic placement of Acinetobacter lwoffii DJPGP01 within its genus, showing a close relationship with Acinetobacter lwoffii NCTC 5866 based on digital DNA-DNA hybridization (DDH). The genome data underlines the potential of Acinetobacter lwoffii as a PGP agent, highlighting specific genes involved in nitrogen assimilation, phosphate uptake, and stress response mechanisms. This study contributes to our understanding of the Acinetobacter role in agricultural settings, suggesting strategies for enhancing crop resilience and productivity.

Indexed as

AcinetobacterGenome, BacterialOryzaRhizospherePhylogenyPlant DevelopmentRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16SAcinetobacter lwoffiiGenome sequencingPlant growth-promoting rhizobacteria (PGPR)

Identifiers

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.