Evidence map›Paper›PMID 40542243›Full record

ArticleBioresources and bioprocessing2025

Antagonistic potential and analytical profiling of plant probiotic bacteria using chromatography and mass spectrometry techniques against Botrytis cinerea and Fusarium oxysporum.

Gottumukkala Hiranmayee, Sarada Prasanna Mallick, Golamari Siva Reddy

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2025. 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
–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

1 citing paper in PubMed.

  1. 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.

Gottumukkala HiranmayeeDepartment of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, 522 502, India.ORCID http://orcid.org/0000-0002-9523-7400
Sarada Prasanna MallickDepartment of Biotechnology, National Institute of Technology, Tadepalligudem, Andhra Pradesh, 534101, India.ORCID http://orcid.org/0000-0003-3460-3822
Golamari Siva ReddyDepartment of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, 522 502, India. gsiva@kluniversity.in.ORCID http://orcid.org/0000-0002-3528-1688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant probiotics are bacteria that play a significant role in enhancing plant growth and health. To understand the interactions between plant probiotics and host plants, a comprehensive approach of antagonistic activity and analytical methods such as high-performance liquid chromatography (HPLC), gas chromatography‒mass spectrometry (GC‒MS), and Fourier transform infrared (FT‒IR) spectroscopy, were employed. The previously isolated bacterial strains, namely, Corynebacterium accolens strain CNTC Th1/57, Bacillus rugosus strain SPB7, Lactobacillus pasteurii DSM 23907 and Cytobacillus firmus strain NBRC 15306, were exposed to antagonistic testing against Botrytis cinerea and Fusarium oxysporum. Considering the results of the antagonistic activity both in vitro and statistically, the bacterial strains Bacillus rugosus strain SPB7 and Lactobacillus pasteurii DSM 23907 presented greater zones of inhibition. Hence these bacteria were moved to obtain comprehensive insights into the chemical composition. HPLC and GC‒MS resulted in the identification of phenols and organic acids. These results were further confirmed by FT-IR, which revealed a peak at 3500 cm

Indexed as

Antagonistic activityChemical characterizationFourier transform infrared spectrumGas chromatography‒mass spectrometryHigh-performance liquid chromatographyOrganic acidsPhenolsPlant probiotics

Identifiers

PMID40542243
PMCPMC12181468

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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.