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Item type:Publication, Morphological and metabolic profiling of a tropical-adapted potato association panel subjected to water recovery treatment reveals new insights into plant vigor(Blackwell Publishing Ltd, 2020-09-01)Potato (Solanum tuberosum L.) is one of the world's most important crops, but it is facing major challenges due to climatic changes. To investigate the effects of intermittent drought on the natural variability of plant morphology and tuber metabolism in a novel potato association panel comprising 258 varieties we performed an augmented block design field study under normal irrigation and under water-deficit and recovery conditions in Ica, Peru. All potato genotypes were profiled for 45 morphological traits and 42 central metabolites via nuclear magnetic resonance. Statistical tests and norm of reaction analysis revealed that the observed variations were trait specific, that is, genotypic versus environmental. Principal component analysis showed a separation of samples as a result of conditional changes. To explore the relational ties between morphological traits and metabolites, correlation-based network analysis was employed, constructing one network for normal irrigation and one network for water-recovery samples. Community detection and difference network analysis highlighted the differences between the two networks, revealing a significant correlational link between fumarate and plant vigor. A genome-wide association study was performed for each metabolic trait. Eleven single nucleotide polymorphism (SNP) markers were associated with fumarate. Gene Ontology analysis of quantitative trait loci regions associated with fumarate revealed an enrichment of genes regulating metabolic processes. Three of the 11 SNPs were located within genes, coding for a protein of unknown function, a RING domain protein and a zinc finger protein ZAT2. Our findings have important implications for future potato breeding regimes, especially in countries suffering from climate change. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correlation-based network analysis combined with machine learning techniques highlights rosmarinic acid biosynthesis activation in tubers of potato plants corresponding to water recovery treatment(Springer Science and Business Media B.V., 2025)Water-deficit, as a consequence of elongated drought periods due to current climate trends, is one of the most imminent abiotic stresses limiting crop productivity worldwide. Also, the production of potato—the world’s fourth most important crop—is challenged by the effects of water-deficit. To investigate metabolic pathway activity in potato tubers subjected to water-deficit, a correlation-based network analysis combined with machine learning techniques approach was conducted on a subset of samples of a potato association panel, grown in an augmented block design under normal irrigation and water-deficit conditions in Ica, Peru. Metabolic profiles for all samples of the subset were generated using a cold injection GC-TOF-MS platform unequivocally identifying 685 metabolites. Samples were separated into positive spectrum (Spectrum [+]) and negative spectrum (Spectrum [−]) groups based on their projections on principal component 2 (PC2) using principal component analysis. Correlation networks showed a strong discrepancy of edge number between the Spectrum [+] and Spectrum [−] correlation network (143,478 vs. 185,565 edges). Correlation-based network analysis combined with machine learning techniques highlighted the activity of metabolic pathways centred around tyrosine and α-ketoglutarate suggestive for an increased activity of the rosmarinic acid biosynthesis I and II pathways in potato tubers. Our study suggests that potato tubers cope with drought stress by rewiring their metabolic network and boosting rosmarinic acid biosynthesis to counteract ROS activity and by that ensuring the onset of the next life cycle.1