» Articles » PMID: 33505407

Molecular Detection Assays for Rapid Field-Detection of Rice Sheath Blight

Overview
Journal Front Plant Sci
Date 2021 Jan 28
PMID 33505407
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

(Rs), a soil-borne fungal pathogen, can result in rice sheath blight (ShB), which causes yield loss. To prevent outbreaks of ShB and enhance the sustainability of rice production, it is critical to develop a rapid ShB detection method for specific, fast, and on-site disease management. In this study, a reagent for the rapid extraction of this pathogen was developed for on-site detection. The specificity and sensitivity of a novel SMS RS1-F/SMS RS1-R primer set and a ITS1/GMRS-3 reference primer set were tested, while four different extraction protocols for ShB were developed. Moreover, intraday and interday assays were performed to evaluate the reproducibility of the detection methods developed. The results indicated that all of the developed protocols are suitable for use in detecting ShB. In addition, all the samples of infected rice yielded positive Rs detection results when subjected to TaqMan probe-based real-time PCR and SYBR green-based real-time PCR (SMS RS1-F/SMS RS1-R) tests in which automatic magnetic bead-based DNA extraction was performed. These results indicated that the two molecular detection protocols were suitable for the field diagnosis of ShB for all asymptomatic and symptomatic rice samples.

Citing Articles

Development of Rapid Detection Methods for f. sp. in Melon Seeds.

Chang T, Xu Y, Wang Y, Wang X, Tsai S, Wu Z Int J Mol Sci. 2024; 25(10).

PMID: 38791411 PMC: 11121191. DOI: 10.3390/ijms25105371.


Colorimetric loop-mediated isothermal amplification assay for detection and ecological monitoring of , an important seed-borne pathogen of rice.

Choudhary P, Goswami S, Chakdar H, Verma S, Thapa S, Srivastava A Front Plant Sci. 2022; 13:936766.

PMID: 36061774 PMC: 9434274. DOI: 10.3389/fpls.2022.936766.

References
1.
Kumar S, Stecher G, Li M, Knyaz C, Tamura K . MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol Biol Evol. 2018; 35(6):1547-1549. PMC: 5967553. DOI: 10.1093/molbev/msy096. View

2.
Handiseni M, Jo Y, Zhou X . Integration of Brassica Cover Crop with Host Resistance and Azoxystrobin for Management of Rice Sheath Blight. Plant Dis. 2019; 99(6):883-885. DOI: 10.1094/PDIS-08-14-0845-RE. View

3.
Suudi M, Park J, Kang W, Hwang D, Kim S, Ahn I . Quantification of rice sheath blight progression caused by Rhizoctonia solani. J Microbiol. 2013; 51(3):380-8. DOI: 10.1007/s12275-013-3274-7. View

4.
Yan J, Zhao W, Chen Z, Xing Q, Zhang W, Chethana K . Comparative genome and transcriptome analyses reveal adaptations to opportunistic infections in woody plant degrading pathogens of Botryosphaeriaceae. DNA Res. 2017; 25(1):87-102. PMC: 5824938. DOI: 10.1093/dnares/dsx040. View

5.
Sayler R, Yang Y . Detection and Quantification of Rhizoctonia solani AG-1 IA, the Rice Sheath Blight Pathogen, in Rice Using Real-Time PCR. Plant Dis. 2019; 91(12):1663-1668. DOI: 10.1094/PDIS-91-12-1663. View