JOURNAL ARTICLE

Genomic insight of phosphate solubilization and plant growth promotion of two taxonomically distinct winter crops by Enterobacter sp. DRP3.

  • Published In: Journal of Applied Microbiology, 2024, v. 135, n. 6. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Saha, Kunal Kumar; Mandal, Subhrangshu; Barman, Anik; Mondal, Sangita; Chatterjee, Sumit; Mandal, Narayan Chandra 3 of 3

Abstract

This article focuses on the characterization of phosphate solubilizing plant growth-promoting bacteria (PGPB) isolated from the rhizosphere of the pteridophyte Dicranopteris sp. in nutrient-poor lateritic soils of West Bengal, India. Among three isolated strains, Enterobacter sp. DRP3 exhibited the highest phosphate solubilization potential, producing significant amounts of soluble phosphate from tricalcium phosphate and rock phosphates, linked to the upregulation of the pyrroloquinoline quinone (PQQ)-dependent glucose dehydrogenase (gdh) gene. The study also demonstrated DRP3’s abilities in biofilm formation, indole acetic acid production, potassium solubilization, and effective root colonization of two taxonomically distinct crops, wheat (Triticum aestivum) and chickpea (Cicer arietinum), supported by genomic evidence of quorum sensing (QS) mechanisms. These findings highlight DRP3’s potential as a bio-inoculant for sustainable agriculture, particularly in improving crop growth and soil health in phosphate-deficient environments.

Additional Information

  • Source:Journal of Applied Microbiology. 2024/06, Vol. 135, Issue 6, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxae146
  • Accession Number:178159300
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.