Cargando…

An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties

Due to drought stress, durum wheat production in the Mediterranean basin will be severely affected in the coming years. Durum wheat cultivation relies on a few genetically uniform "modern" varieties, more productive but less tolerant to stresses, and "traditional" varieties, stil...

Descripción completa

Detalles Bibliográficos
Autores principales: Licaj, Ilva, Felice, Domenico, Germinario, Chiara, Zanotti, Clarissa, Fiorillo, Anna, Marra, Mauro, Rocco, Mariapina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613089/
https://www.ncbi.nlm.nih.gov/pubmed/37900753
http://dx.doi.org/10.3389/fpls.2023.1241281
_version_ 1785128751271510016
author Licaj, Ilva
Felice, Domenico
Germinario, Chiara
Zanotti, Clarissa
Fiorillo, Anna
Marra, Mauro
Rocco, Mariapina
author_facet Licaj, Ilva
Felice, Domenico
Germinario, Chiara
Zanotti, Clarissa
Fiorillo, Anna
Marra, Mauro
Rocco, Mariapina
author_sort Licaj, Ilva
collection PubMed
description Due to drought stress, durum wheat production in the Mediterranean basin will be severely affected in the coming years. Durum wheat cultivation relies on a few genetically uniform "modern" varieties, more productive but less tolerant to stresses, and "traditional" varieties, still representing a source of genetic biodiversity for drought tolerance. Root architecture plasticity is crucial for plant adaptation to drought stress and the relationship linking root structures to drought is complex and still largely under-explored. In this study, we examined the effect of drought stress on the roots’ characteristics of the “traditional” Saragolla cultivar and the “modern” Svevo. By means of “SmartRoot” software, we demonstrated that drought stress affected primary and lateral roots as well as root hair at different extents in Saragolla and Svevo cultivars. Indeed, we observed that under drought stress Saragolla possibly revamped its root architecture, by significantly increasing the length of lateral roots, and the length/density of root hairs compared to the Svevo cultivar. Scanning Electron Microscopy analysis of root anatomical traits demonstrated that under drought stress a greater stele area and an increase of the xylem lumen size vessel occurred in Saragolla, indicating that the Saragolla variety had a more efficient adaptive response to osmotic stress than the Svevo. Furthermore, for the analysis of root structural data, Artificial Intelligence (AI) algorithms have been used: Their application allowed to predict from root structural traits modified by the osmotic stress the type of cultivar observed and to infer the relationship stress-cultivar type, thus demonstrating that root structural traits are clear and incontrovertible indicators of the higher tolerance to osmotic stress of the Saragolla cultivar. Finally, to obtain an integrated view of root morphogenesis, phytohormone levels were investigated. According to the phenotypic effects, under drought stress,a larger increase in IAA and ABA levels, as well as a more pronounced reduction in GA levels occurred in Saragolla as compared to Svevo. In conclusion, these results show that the root growth and hormonal profile of Saragolla are less affected by osmotic stress than those of Svevo, demonstrating the great potential of ancient varieties as reservoirs of genetic variability for improving crop responses to environmental stresses.
format Online
Article
Text
id pubmed-10613089
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106130892023-10-29 An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties Licaj, Ilva Felice, Domenico Germinario, Chiara Zanotti, Clarissa Fiorillo, Anna Marra, Mauro Rocco, Mariapina Front Plant Sci Plant Science Due to drought stress, durum wheat production in the Mediterranean basin will be severely affected in the coming years. Durum wheat cultivation relies on a few genetically uniform "modern" varieties, more productive but less tolerant to stresses, and "traditional" varieties, still representing a source of genetic biodiversity for drought tolerance. Root architecture plasticity is crucial for plant adaptation to drought stress and the relationship linking root structures to drought is complex and still largely under-explored. In this study, we examined the effect of drought stress on the roots’ characteristics of the “traditional” Saragolla cultivar and the “modern” Svevo. By means of “SmartRoot” software, we demonstrated that drought stress affected primary and lateral roots as well as root hair at different extents in Saragolla and Svevo cultivars. Indeed, we observed that under drought stress Saragolla possibly revamped its root architecture, by significantly increasing the length of lateral roots, and the length/density of root hairs compared to the Svevo cultivar. Scanning Electron Microscopy analysis of root anatomical traits demonstrated that under drought stress a greater stele area and an increase of the xylem lumen size vessel occurred in Saragolla, indicating that the Saragolla variety had a more efficient adaptive response to osmotic stress than the Svevo. Furthermore, for the analysis of root structural data, Artificial Intelligence (AI) algorithms have been used: Their application allowed to predict from root structural traits modified by the osmotic stress the type of cultivar observed and to infer the relationship stress-cultivar type, thus demonstrating that root structural traits are clear and incontrovertible indicators of the higher tolerance to osmotic stress of the Saragolla cultivar. Finally, to obtain an integrated view of root morphogenesis, phytohormone levels were investigated. According to the phenotypic effects, under drought stress,a larger increase in IAA and ABA levels, as well as a more pronounced reduction in GA levels occurred in Saragolla as compared to Svevo. In conclusion, these results show that the root growth and hormonal profile of Saragolla are less affected by osmotic stress than those of Svevo, demonstrating the great potential of ancient varieties as reservoirs of genetic variability for improving crop responses to environmental stresses. Frontiers Media S.A. 2023-10-13 /pmc/articles/PMC10613089/ /pubmed/37900753 http://dx.doi.org/10.3389/fpls.2023.1241281 Text en Copyright © 2023 Licaj, Felice, Germinario, Zanotti, Fiorillo, Marra and Rocco https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Licaj, Ilva
Felice, Domenico
Germinario, Chiara
Zanotti, Clarissa
Fiorillo, Anna
Marra, Mauro
Rocco, Mariapina
An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title_full An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title_fullStr An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title_full_unstemmed An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title_short An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
title_sort artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613089/
https://www.ncbi.nlm.nih.gov/pubmed/37900753
http://dx.doi.org/10.3389/fpls.2023.1241281
work_keys_str_mv AT licajilva anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT felicedomenico anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT germinariochiara anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT zanotticlarissa anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT fiorilloanna anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT marramauro anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT roccomariapina anartificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT licajilva artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT felicedomenico artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT germinariochiara artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT zanotticlarissa artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT fiorilloanna artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT marramauro artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties
AT roccomariapina artificialintelligenceintegratedanalysisoftheeffectofdroughtstressonroottraitsofmodernandancientwheatvarieties