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Metabolomic Study of Sorghum (Sorghum bicolor) to Interpret Plant Behavior under Variable Field Conditions in View of Smart Agriculture Applications
[Image: see text] To tackle the urgency of smarter crop management, the complex nature of agricultural ecosystems needs to be better understood, employing and combining different techniques and technologies. In this study, untargeted metabolomics and agro-meteorological survey were coupled to study...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769377/ https://www.ncbi.nlm.nih.gov/pubmed/33459558 http://dx.doi.org/10.1021/acs.jafc.0c06533 |
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author | Mandrone, Manuela Chiocchio, Ilaria Barbanti, Lorenzo Tomasi, Paola Tacchini, Massimo Poli, Ferruccio |
author_facet | Mandrone, Manuela Chiocchio, Ilaria Barbanti, Lorenzo Tomasi, Paola Tacchini, Massimo Poli, Ferruccio |
author_sort | Mandrone, Manuela |
collection | PubMed |
description | [Image: see text] To tackle the urgency of smarter crop management, the complex nature of agricultural ecosystems needs to be better understood, employing and combining different techniques and technologies. In this study, untargeted metabolomics and agro-meteorological survey were coupled to study the variation of Sorghum bicolor (L.) Moench metabolome during crop development, in response to environmental and anthropic factors. Twelve crop fields in the Emilia-Romagna region, Italy, were monitored and sampled at different stages, seedling (Ss), advanced vegetative (Sv), and ripening (Sr), and subjected to (1)H NMR-based metabolomics. The analytical method developed resulted to be successful to quickly analyze different sorghum organs. Dhurrin, a cyanogenic glucoside, resulted to be a biomarker of crop quality and development, and several insights into its turnover and functions were obtained. In particular, p-glucosyloxy-2-hydroxyphenylacetic acid was identified, for the first time, as the main metabolite accumulated in sorghum at Sr, after gradual dhurrin neutralization. During plant life, fertilization and biotic and abiotic stress reflected peculiar metabolomic profiles. Water supply and soil features (i.e., clay content) were correlated to metabolomic variations, affecting dhurrin (and related metabolites), amino acids, organic acids, and carbohydrate content. Increase in chlorogenic acid was registered in consequence of predator attacks. Moreover, grain from three fields presented traces of dhurrin and the lowest antioxidant potential, which resulted in poor grain quality. Metabolomics turned out to be a promising tool in view of smart agriculture for monitoring plant growth status and applying appropriate agricultural practices since the early stage of crop development. |
format | Online Article Text |
id | pubmed-8769377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-87693772022-01-21 Metabolomic Study of Sorghum (Sorghum bicolor) to Interpret Plant Behavior under Variable Field Conditions in View of Smart Agriculture Applications Mandrone, Manuela Chiocchio, Ilaria Barbanti, Lorenzo Tomasi, Paola Tacchini, Massimo Poli, Ferruccio J Agric Food Chem [Image: see text] To tackle the urgency of smarter crop management, the complex nature of agricultural ecosystems needs to be better understood, employing and combining different techniques and technologies. In this study, untargeted metabolomics and agro-meteorological survey were coupled to study the variation of Sorghum bicolor (L.) Moench metabolome during crop development, in response to environmental and anthropic factors. Twelve crop fields in the Emilia-Romagna region, Italy, were monitored and sampled at different stages, seedling (Ss), advanced vegetative (Sv), and ripening (Sr), and subjected to (1)H NMR-based metabolomics. The analytical method developed resulted to be successful to quickly analyze different sorghum organs. Dhurrin, a cyanogenic glucoside, resulted to be a biomarker of crop quality and development, and several insights into its turnover and functions were obtained. In particular, p-glucosyloxy-2-hydroxyphenylacetic acid was identified, for the first time, as the main metabolite accumulated in sorghum at Sr, after gradual dhurrin neutralization. During plant life, fertilization and biotic and abiotic stress reflected peculiar metabolomic profiles. Water supply and soil features (i.e., clay content) were correlated to metabolomic variations, affecting dhurrin (and related metabolites), amino acids, organic acids, and carbohydrate content. Increase in chlorogenic acid was registered in consequence of predator attacks. Moreover, grain from three fields presented traces of dhurrin and the lowest antioxidant potential, which resulted in poor grain quality. Metabolomics turned out to be a promising tool in view of smart agriculture for monitoring plant growth status and applying appropriate agricultural practices since the early stage of crop development. American Chemical Society 2021-01-18 2021-01-27 /pmc/articles/PMC8769377/ /pubmed/33459558 http://dx.doi.org/10.1021/acs.jafc.0c06533 Text en © 2021 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Mandrone, Manuela Chiocchio, Ilaria Barbanti, Lorenzo Tomasi, Paola Tacchini, Massimo Poli, Ferruccio Metabolomic Study of Sorghum (Sorghum bicolor) to Interpret Plant Behavior under Variable Field Conditions in View of Smart Agriculture Applications |
title | Metabolomic Study of Sorghum (Sorghum
bicolor) to Interpret Plant Behavior under Variable
Field Conditions in View of Smart Agriculture Applications |
title_full | Metabolomic Study of Sorghum (Sorghum
bicolor) to Interpret Plant Behavior under Variable
Field Conditions in View of Smart Agriculture Applications |
title_fullStr | Metabolomic Study of Sorghum (Sorghum
bicolor) to Interpret Plant Behavior under Variable
Field Conditions in View of Smart Agriculture Applications |
title_full_unstemmed | Metabolomic Study of Sorghum (Sorghum
bicolor) to Interpret Plant Behavior under Variable
Field Conditions in View of Smart Agriculture Applications |
title_short | Metabolomic Study of Sorghum (Sorghum
bicolor) to Interpret Plant Behavior under Variable
Field Conditions in View of Smart Agriculture Applications |
title_sort | metabolomic study of sorghum (sorghum
bicolor) to interpret plant behavior under variable
field conditions in view of smart agriculture applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769377/ https://www.ncbi.nlm.nih.gov/pubmed/33459558 http://dx.doi.org/10.1021/acs.jafc.0c06533 |
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