| Literature DB >> 34944096 |
Xiaofeng Su1, Siyuan Wu1, Lu Liu1, Guoqing Lu1, Haiyang Liu2, Xi Jin3, Yi Wang4, Huiming Guo1, Chen Wang1, Hongmei Cheng1.
Abstract
As an ecofriendly biocontrol agent, antagonistic bacteria are a crucial class of highly efficient fungicides in the field against Verticillium dahliae, the most virulent pathogen for cotton and other crops. Toward identifying urgently needed bacterial candidates, we screened bacteria isolated from the cotton rhizosphere soil for antagonisitic activity against V. dahliae in an artificially infested nursery. In preliminary tests of antagonistic candidates to characterize the mechanism of action of on culture medium, 88 strains that mainly belonged to Bacillus strongly inhibited the colony diameter of V. dahliae, with inhibiting efficacy up to 50% in 9 strains. Among the most-effective bacterial strains, Bacillus sp. ABLF-18, and ABLF-50 and Paenibacillus sp. ABLF-90 significantly reduced the disease index and fungal biomass of cotton to 40-70% that of the control. In further tests to elucidate the biocontrol mechanism (s), the strains secreted extracellular enzymes cellulase, glucanase, and protease, which can degrade the mycelium, and antimicrobial lipopeptides such as surfactin and iturin homologues. The expression of PAL, MAPK and PR10, genes related to disease resistance, was also elicited in cotton plants. Our results clearly show that three candidate bacterial strains can enhance cotton defense responses against V. dahliae; the secretion of fungal cell-wall-degrading enzymes, synthesis of nonribosomal antimicrobial peptides and induction of systemic resistance shows that the strains have great potential as biocontrol fungicides.Entities:
Keywords: biocontrol fungicides; cotton; extracellular enzyme; nonribosomal peptides; resistant gene expression
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Year: 2021 PMID: 34944096 PMCID: PMC8699867 DOI: 10.3390/cells10123588
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1Phylogenetic analysis of candidate antagonistic bacteria against V. dahliae. The 16S rRNA sequences were aligned by ClustalW and phylogenetic tree was constructed with MEGA software (version 7.0, Temple University, Philadelphia, PA, USA) by the neighbor-joining method for 500 bootstraps. Bar 0.01 substitutions per nucleotide position.
Figure 2Antagonistic effect assessment of top 9 bacteria against V. dahliae. (a) Antagonistic situation. (b) The colony diameter. (c) Inhibitory efficacy. Different letters indicate significant differences between treatments according to Duncan’s test (p < 0.05).
Figure 3The potential biocontrol effect (a). Phenotype analysis of cotton seedlings. After 24 h inoculated with sterile distilled water and candidated bacterial solution, the cotton seedlings were inoculated with V991 conidial suspension and treated at 14 dpi. (b). The disease index analysis. (c). Fungal biomass detection. The cotton small subunit ribosomal RNA gene (SSU) was used as an endogenous control, while Verticillium ITS1 and ITS2 regions of the ribosomal RNA genes (Z29511) was selected to quantify the colonization of V. dahliae. Error bars represent the standard deviations from three independent experiments and different letters indicate significant differences at p < 0.05 as determined using a Duncan’s test.
Figure 4Extracellular enzyme activity analysis. The protease enzyme activity (a), glucanase enzyme activity (b) and cellulase enzyme activity (c) were tested on different medium. Different letters represent significant differences at p < 0.05 by Duncan’s test.
Figure 5MALDI-ToF MS spectra of Bacillus sp. ABLF-18, Bacillus sp. ABLF-50, and Paenibacillus sp. ABLF-90.
Figure 6The expression patterns of cotton resistant genes. PAL, MAPK and PR10 expression levels were examined by qRT-PCR. The RNA was extracted from the cotton roots infected with V. dahliae at 24 h post inoculation. Error bars represent the standard deviations from three independent experiments and different letters indicate significant differences at p < 0.05 as determined using a Duncan’s test.