Title
Plant Growth-Promoting Activity of Pseudomonas aeruginosa FG106 and Its Ability to Act as a Biocontrol Agent against Potato, Tomato and Taro Pathogens
Date Issued
01 January 2022
Access level
open access
Resource Type
journal article
Author(s)
Ghadamgahi F.
Tarighi S.
Taheri P.
Saripella G.V.
Anzalone A.
Kalyandurg P.B.
Catara V.
Vetukuri R.R.
Swedish University of Agricultural Sciences
Publisher(s)
MDPI
Abstract
P. aeruginosa strain FG106 was isolated from the rhizosphere of tomato plants and identified through morphological analysis, 16S rRNA gene sequencing, and whole-genome sequencing. In vitro and in vivo experiments demonstrated that this strain could control several pathogens on tomato, potato, taro, and strawberry. Volatile and non-volatile metabolites produced by the strain are known to adversely affect the tested pathogens. FG106 showed clear antagonism against Alternaria alternata, Botrytis cinerea, Clavibacter michiganensis subsp. michiganensis, Phytophthora colocasiae, P. infestans, Rhizoctonia solani, and Xanthomonas euvesicatoria pv. perforans. FG106 produced proteases and lipases while also inducing high phosphate solubilization, producing siderophores, ammonia, indole acetic acid (IAA), and hydrogen cyanide (HCN) and forming biofilms that promote plant growth and facilitate biocontrol. Genome mining approaches showed that this strain harbors genes related to biocontrol and growth promotion. These results suggest that this bacterial strain provides good protection against pathogens of several agriculturally important plants via direct and indirect modes of action and could thus be a valuable bio-control agent.
Volume
11
Issue
1
Language
English
OCDE Knowledge area
Agricultura
Subjects
Scopus EID
2-s2.0-85123309131
Source
Biology
Resource of which it is part
Biology
Source funding
Svenska Forskningsrådet Formas
Sponsor(s)
Acknowledgments: We would like to thank SLU bioinformatics infrastructure (SLUBI) for the bioin-formatics support. We also acknowledge support from the National Genomics Infrastructure in Stockholm funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation, Partnership Alnarp, Parvatha Vardhini foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure.
Funding: This work is supported by FORMAS (2019-01316) and the Swedish Research Council (2019-04270), NKJ-SNS-Dialogue Biocontrol network (NKJ-SNS 06), Carl Tryggers Stiftelse för Veten-skaplig Forskning (CTS 20:464), The Crafoord Foundation (20200818), Partnerskap Alnarp. Farideh Ghadamgahi was supported by a PhD grant from Ferdowsi University of Mashhad (No. 3/50020). We also thank Iran National Science Foundation for their partial financial support under project number of 96009458.
This work is supported by FORMAS (2019-01316) and the Swedish Research Council (2019-04270), NKJ-SNS-Dialogue Biocontrol network (NKJ-SNS 06), Carl Tryggers Stiftelse f?r Veten-skaplig Forskning (CTS 20:464), The Crafoord Foundation (20200818), Partnerskap Alnarp. Farideh Ghadamgahi was supported by a PhD grant from Ferdowsi University of Mashhad (No. 3/50020). We also thank Iran National Science Foundation for their partial financial support under project number of 96009458.
Sources of information:
Directorio de Producción Científica
Scopus