Evaluating target spot (Corynespora cassiicola) resistance in soybean (Glycine max (L.) Merrill) in a controlled environment

Patel, S. R.; Bowen, Kira L.; Patel, Jinesh; Koebernick, Jenny

doi:10.1016/j.cropro.2022.106018

Cited by 7 publications

(13 citation statements)

References 25 publications

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“…A collection of 246 soybean genotypes from different geographic regions (USA, China, Japan, South Korea, North Korea, Vietnam, Nepal, Pakistan, Taiwan, Australia, and Georgia) were obtained from the National Germplasm Database (GRIN). Two genotypes, ‘Council’ (PI 587091) and ‘Henderson’ (PI 665225) were used as resistant and susceptible checks, respectively ( Patel et al., 2022 ). To identify the genomic regions associated with target spot resistance, greenhouse experiments were conducted using two isolates of C. cassiicola namely LIM01 and SSTA ( Patel et al., 2022 ) to pinpoint potential candidate genes.…”

Section: Methodsmentioning

confidence: 99%

“…Two genotypes, ‘Council’ (PI 587091) and ‘Henderson’ (PI 665225) were used as resistant and susceptible checks, respectively ( Patel et al., 2022 ). To identify the genomic regions associated with target spot resistance, greenhouse experiments were conducted using two isolates of C. cassiicola namely LIM01 and SSTA ( Patel et al., 2022 ) to pinpoint potential candidate genes. These isolates exhibit variations in their toxin producing cassiicolin gene.…”

Section: Methodsmentioning

confidence: 99%

“…Inoculation and disease assessment methods were followed the procedures described by Patel et al. (2022) .…”

Section: Methodsmentioning

confidence: 99%

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Deciphering the genetic architecture of resistance to Corynespora cassiicola in soybean (Glycine max L.) by integrating genome-wide association mapping and RNA-Seq analysis

Patel,

Bowen

et al. 2023

Front. Plant Sci.

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Target spot caused by Corynespora cassiicola is a problematic disease in tropical and subtropical soybean (Glycine max) growing regions. Although resistant soybean genotypes have been identified, the genetic mechanisms underlying target spot resistance has not yet been studied. To address this knowledge gap, this is the first genome-wide association study (GWAS) conducted using the SoySNP50K array on a panel of 246 soybean accessions, aiming to unravel the genetic architecture of resistance. The results revealed significant associations of 14 and 33 loci with resistance to LIM01 and SSTA C. cassiicola isolates, respectively, with six loci demonstrating consistent associations across both isolates. To identify potential candidate genes within GWAS-identified loci, dynamic transcriptome profiling was conducted through RNA-Seq analysis. The analysis involved comparing gene expression patterns between resistant and susceptible genotypes, utilizing leaf tissue collected at different time points after inoculation. Integrating results of GWAS and RNA-Seq analyses identified 238 differentially expressed genes within a 200 kb region encompassing significant quantitative trait loci (QTLs) for disease severity ratings. These genes were involved in defense response to pathogen, innate immune response, chitinase activity, histone H3-K9 methylation, salicylic acid mediated signaling pathway, kinase activity, and biosynthesis of flavonoid, jasmonic acid, phenylpropanoid, and wax. In addition, when combining results from this study with previous GWAS research, 11 colocalized regions associated with disease resistance were identified for biotic and abiotic stress. This finding provides valuable insight into the genetic resources that can be harnessed for future breeding programs aiming to enhance soybean resistance against target spot and other diseases simultaneously.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Deciphering the genetic architecture of resistance to Corynespora cassiicola in soybean (Glycine max L.) by integrating genome-wide association mapping and RNA-Seq analysis

Patel,

Bowen

et al. 2023

Front. Plant Sci.

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“…Corynespora cassiicola resistance exists in soybean genotypes [ 9 ]; however, the genes and mechanisms of resistance are unknown. Investigating disease resistance mechanisms relies on the identification of genomic regions, genes, and gene networks associated with defense responses triggered by the host upon infection with a pathogen [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Transcriptome Profiling Unfolds a Complex Defense and Secondary Metabolite Networks Imparting Corynespora cassiicola Resistance in Soybean (Glycine max (L.) Merrill)

Patel

Silliman

et al. 2023

IJMS

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Target spot is caused by Corynespora cassiicola, which heavily affects soybean production areas that are hot and humid. Resistant soybean genotypes have been identified; however, the molecular mechanisms governing resistance to infection are unknown. Comparative transcriptomic profiling using two known resistant genotypes and two susceptible genotypes was performed under infected and control conditions to understand the regulatory network operating between soybean and C. cassiicola. RNA-Seq analysis identified a total of 2571 differentially expressed genes (DEGs) which were shared by all four genotypes. These DEGs are related to secondary metabolites, immune response, defense response, phenylpropanoid, and flavonoid/isoflavonoid pathways in all four genotypes after C. cassiicola infection. In the two resistant genotypes, additional upregulated DEGs were identified affiliated with the defense network: flavonoids, jasmonic acid, salicylic acid, and brassinosteroids. Further analysis led to the identification of differentially expressed transcription factors, immune receptors, and defense genes with a leucine-rich repeat domain, dirigent proteins, and cysteine (C)-rich receptor-like kinases. These results will provide insight into molecular mechanisms of soybean resistance to C. cassiicola infection and valuable resources to potentially pyramid quantitative resistance loci for improving soybean germplasm.

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“…Thus, the soybean productivity of China was unable to satisfy the growing needs of its population [ 2 ]. During growth soybean is susceptible to insects and to diseases such as root rot and brown spot [ 3 , 4 ], which not only affect the yield, appearance, and quality of the soybean, but also reduce the germination rate and oil content [ 5 , 6 ]. Therefore, the application of pesticides is essential to protect soybeans from pests, diseases, and weeds.…”

Section: Introductionmentioning

confidence: 99%

Dissipation and Dietary Risk Assessment of Pydiflumetofen Residues in Soybean

Wei

Hou

et al. 2022

Molecules

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In this study, the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method, combined with high-performance liquid chromatography–tandem mass spectrometry, was chosen for detecting pydiflumetofen residues in soybean plants, soybeans and soil, and assessing the risk of short- and long-term dietary intake. Pydiflumetofen concentrations ranging from 0.001–0.5 mg/L exhibited good linearity (r > 0.997). At varying doses, the average pydiflumetofen recovery rates and relative standard deviations among soybean plants, soybeans, and soil ranged from 83.9 ± 1.1% to 99.5 ± 3.3% and from 0.77 to 7.77%, respectively. The sensitivity, accuracy, and precision of the chosen methodology met the requirements of pesticide residue analysis. The results of the degradation dynamics test showed that the half-life of pydiflumetofen (t1/2) in soybean plants and in soil were 3.6 to 5.7 and from 7.9 to 25.7 d, respectively. Assessment of the concentration of pydiflumetofen residues in soybeans revealed acute and chronic dietary exposure risks of 0.06 and 7.54%, respectively. As these values are very low, pydiflumetofen residues in soybeans present an acceptable risk to public health. The results of this study will help to guide the practical application of pydiflumetofen and minimize the environmental risks associated with its use.

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Evaluating target spot (Corynespora cassiicola) resistance in soybean (Glycine max (L.) Merrill) in a controlled environment

Cited by 7 publications

References 25 publications

Deciphering the genetic architecture of resistance to Corynespora cassiicola in soybean (Glycine max L.) by integrating genome-wide association mapping and RNA-Seq analysis

Deciphering the genetic architecture of resistance to Corynespora cassiicola in soybean (Glycine max L.) by integrating genome-wide association mapping and RNA-Seq analysis

Comparative Transcriptome Profiling Unfolds a Complex Defense and Secondary Metabolite Networks Imparting Corynespora cassiicola Resistance in Soybean (Glycine max (L.) Merrill)

Dissipation and Dietary Risk Assessment of Pydiflumetofen Residues in Soybean

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