Article ; Online: Selection of reference genes for RT-qPCR analysis of rice with Rhizoctonia solani infection and biocontrol PGPR/KSi application.
2023 Volume 50, Issue 5, Page(s) 4225–4237
Abstract: Background: Rhizoctonia solani (AG1 IA) is an important pathogen of rice (Oryza sativa L.) that causes rice sheath blight (RSB). Since control of RSB by breeding and fungicides have had limited success, novel strategies like biocontrol with plant growth- ...
Abstract | Background: Rhizoctonia solani (AG1 IA) is an important pathogen of rice (Oryza sativa L.) that causes rice sheath blight (RSB). Since control of RSB by breeding and fungicides have had limited success, novel strategies like biocontrol with plant growth-promoting rhizobacteria (PGPR) can be an effective alternative. Method and results: Seven commonly used reference genes (RGs), 18SrRNA, ACT1, GAPDH2, UBC5, RPS27, eIF4a and CYP28, were evaluated for their stability in rice-R. solani-PGPR interaction for real-time quantitative PCR (RT-qPCR) analysis. Different algorithms were examined, Delta Ct, geNorm, NormFinder, BestKeeper, and comprehensive ranking by RefFinder, to evaluate RT-qPCR of rice in tissues infected with R. solani and treated with the PGPR strains, Pseudomonas saponiphilia and Pseudomonas protegens, with potassium silicate (KSi) alone or in combination with each PGPR strain. RG stability was affected for each treatment and treatment-specific RG selection was suggested. Validation analysis was done for nonexpressor of PR-1(NPR1) for each treatment. Conclusion: Overall, ACT1 was the most stable RG with R. solani infection alone, GAPDH2 with R. solani infection plus KSi, UBC5 with R. solani infection plus P. saponiphilia, and eIF4a with R. solani infection plus P. protegens. Both ACT1 and RPS27 were the most stable with the combination of KSi and P. saponiphilia, while RPS27 was the most stable with the combination of KSi and P. protegens. |
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MeSH term(s) | Oryza/genetics ; Oryza/microbiology ; Plant Breeding ; Rhizoctonia/genetics ; Plant Development ; Plant Diseases/genetics ; Plant Diseases/microbiology |
Language | English |
Publishing date | 2023-03-10 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 186544-4 |
ISSN | 1573-4978 ; 0301-4851 |
ISSN (online) | 1573-4978 |
ISSN | 0301-4851 |
DOI | 10.1007/s11033-023-08361-0 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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