JOURNAL ARTICLE
Peribacillus frigoritolerans T7-IITJ, a potential biofertilizer, induces plant growth-promoting genes of Arabidopsis thaliana.
Published In: Journal of Applied Microbiology, 2024, v. 135, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Marik, Debankona; Sharma, Pinki; Chauhan, Nar Singh; Jangir, Neelam; Shekhawat, Rajveer Singh; Verma, Devanshu; Mukherjee, Manasi; Abiala, Moses; Roy, Chandan; Yadav, Pankaj; Sadhukhan, Ayan 3 of 3
Abstract
This article focuses on the isolation and characterization of plant growth-promoting rhizobacteria (PGPR) from the nutrient-poor rhizosphere soil of Thar desert plants, emphasizing the strain Peribacillus frigoritolerans T7-IITJ. The study demonstrates that T7-IITJ significantly enhances growth and drought tolerance in Arabidopsis thaliana and other arid-region plants by solubilizing phosphate, iron, and nitrate, producing auxin-like compounds and exopolysaccharides, and inhibiting fungal pathogens. Whole genome sequencing revealed genes related to nutrient acquisition, phytohormone biosynthesis, and antimicrobial metabolite production, while transcriptome analysis of inoculated plants showed upregulation of genes involved in photosynthesis, hormone signaling (auxin and jasmonate), nutrient uptake, and redox homeostasis, alongside downregulation of certain stress-responsive genes. These findings suggest that P. frigoritolerans T7-IITJ is a promising biofertilizer and biocontrol agent for sustainable agriculture in arid environments, though field validation and ecological impact assessments are recommended.
Additional Information
- Source:Journal of Applied Microbiology. 2024/04, Vol. 135, Issue 4, p1
- Document Type:Article
- Subject Area:Agriculture and Agribusiness
- Publication Date:2024
- ISSN:1364-5072
- DOI:10.1093/jambio/lxae066
- Accession Number:177016893
- Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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