ABSTRACT
Bacteria are among the most frequently studied microorganisms in plant growth-promoting traits and fighting against different pathogens. Actinobacteria are prokaryotic organisms that produce mycelium, spores, and can form various secondary metabolites, especially antibiotics. In our study, free-living and endophytic Actinobacteria were isolated from rhizosphere soils and plant parts of olive (Olea europaea L.) and walnut (Juglans regia L.) trees, which are commercially essential agricultural products for Turkey. The study aimed to explore the plant growth-promoting activities of these Actinobacteria as biological fertilizers. Some of the properties of purified Actinobacteria that regulate the plant growth-promoting (PGP) traits; phosphate solubilization, indole-3-acetic acid, siderophore, ammonia, protease, beta-galactosidase, chitinase production, and antagonistic activities against various plant-pathogen fungi were investigated. As a result, 422 Actinobacteria were isolated, and 88 Actinobacteria determined to be possible plant bio-fertilizers were identified as Streptomyces spp. (70), Amycolatopsis spp. (12), Micromonospora spp. (four) and Nocardiopsis spp. (two) after the sequencing of their 16S rRNA genes. Moreover, four Streptomyces spp. and two Amycolatopsis spp. were used in hydroponic germination of wheat seeds (Triticum aestivum L.), and plant growth in terms of root and stem parts increased.
Acknowledgements
This study was supported by Eskişehir Technical University, Scientific Research Projects BAP: 1506F534. AD is grateful to TÜBİTAK for “2211-C Ph.D. Scholarship Program for Domestic Priority Areas”. We would like to thank Ayça Fulya ÜSTÜNTANIR DEDE, Ph.D., for checking extensive grammar corrections.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Type of contribution
AD and KG planned the project and experiment designs. AD performed all experiments, data arrangements, drafting the manuscript and writing processes. KG also checked and corrected the writing processes with suggestions.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/03650340.2022.2086233.