2020
DOI: 10.3389/fpls.2020.00767
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A High-Throughput Extraction and Analysis Method for Steroidal Glycoalkaloids in Tomato

Abstract: Tomato steroidal glycoalkaloids (tSGAs) are a class of cholesterol-derived metabolites uniquely produced by the tomato clade. These compounds provide protection against biotic stress due to their fungicidal and insecticidal properties. Although commonly reported as being anti-nutritional, both in vitro as well as pre-clinical animal studies have indicated that some tSGAs may have a beneficial impact on human health. However, the paucity of quantitative extraction and analysis methods presents a major obstacle … Show more

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Cited by 25 publications
(33 citation statements)
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“…Genomic information can also provide new opportunities to integrate biotechnology and quantitative genetics into modern breeding programs, creating platforms for both deliveries of new products and biological discovery (Hickey et al, 2017 ). For example, in blueberry, biological discoveries have been addressed via QTL mapping (Cappai et al, 2020a ) and GWAS studies (Ferrão et al, 2018 , 2020 ) for multiple fruit quality traits. Unifying such discoveries with prediction is challenging, but it has been addressed under three different avenues: (i) use of GWAS discovered QTL as fixed effects on GS models; (ii) incorporating markers (or QTL) in MAS designs, and (iii) using genome-editing technology to speed up breeding.…”
Section: Resultsmentioning
confidence: 99%
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“…Genomic information can also provide new opportunities to integrate biotechnology and quantitative genetics into modern breeding programs, creating platforms for both deliveries of new products and biological discovery (Hickey et al, 2017 ). For example, in blueberry, biological discoveries have been addressed via QTL mapping (Cappai et al, 2020a ) and GWAS studies (Ferrão et al, 2018 , 2020 ) for multiple fruit quality traits. Unifying such discoveries with prediction is challenging, but it has been addressed under three different avenues: (i) use of GWAS discovered QTL as fixed effects on GS models; (ii) incorporating markers (or QTL) in MAS designs, and (iii) using genome-editing technology to speed up breeding.…”
Section: Resultsmentioning
confidence: 99%
“…While QTL analyses are usually performed using structured populations, GWAS increases the mapping resolution by using populations with low levels of linkage disequilibrium considering a deep history of recombination events. In blueberry, we recently detected candidate genomic regions and markers associated with different fruit quality traits (Ferrão et al, 2018 ) and flavor-related volatiles (Ferrão et al, 2020 ) via GWAS investigations; and we built a high-density linkage map and detected QTL associated to berry firmness (Cappai et al, 2020a ). In counterpart, GS aims to predict breeding values by using all genome-wide markers simultaneously (Meuwissen et al, 2001 ).…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of our work is to describe the chemical diversity of tomato steroidal alkaloids through a detailed and quantitative analysis (Dzakovich et al, 2020) of cultivated, landrace, and wild, red-fruited relatives of tomato and identify quantitative trait loci (QTL) associated with these metabolites. Populations were selected based on known patterns of genomic variation and were cultivated in multiple locations and years to separate genetic and environmental effects.…”
Section: Core Ideasmentioning
confidence: 99%
“…Steroidal alkaloids were extracted and quantified, as previously described, using a rapid extraction and ultra-high performance liquid chromatography tandem mass spectrometry (Dzakovich et al, 2020). Dehydrotomatidine, tomatidine, dehydrotomatine, alpha-tomatine, hydroxytomatine, acetoxytomatine, dehydrolycoperoside F/G/dehydroesculeoside A, lycoperoside F/G/esculeoside A, esculeoside B, and total steroidal alkaloids (the sum of all previous analytes) were quantified.…”
Section: Steroidal Alkaloid Profilingmentioning
confidence: 99%
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