» Articles » PMID: 32579242

Morphological and Metabolic Profiling of a Tropical-adapted Potato Association Panel Subjected to Water Recovery Treatment Reveals New Insights into Plant Vigor

Overview
Journal Plant J
Date 2020 Jun 25
PMID 32579242
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Network analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean.

Van K, Lee S, Mian M, McHale L BMC Genomics. 2025; 26(1):21.

PMID: 39780068 PMC: 11715193. DOI: 10.1186/s12864-024-11163-8.


Potato and sweetpotato breeding at the international potato center: approaches, outcomes and the way forward.

Lindqvist-Kreuze H, Bonierbale M, Gruneberg W, Mendes T, De Boeck B, Campos H Theor Appl Genet. 2023; 137(1):12.

PMID: 38112758 PMC: 10730645. DOI: 10.1007/s00122-023-04515-7.


Temperature differences between sites lead to altered phenylpropanoid metabolism in a varietal dependent manner.

Gashu K, Verma P, Acuna T, Agam N, Bustan A, Fait A Front Plant Sci. 2023; 14:1239852.

PMID: 37929177 PMC: 10620969. DOI: 10.3389/fpls.2023.1239852.


Expression of Potato in Arabidopsis Alters Root Architecture and Drought Tolerance.

Sun C, Liang W, Yan K, Xu D, Qin T, Fiaz S Front Plant Sci. 2022; 13:836063.

PMID: 35665176 PMC: 9161210. DOI: 10.3389/fpls.2022.836063.


Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.

Song C, Acuna T, Adler-Agmon M, Rachmilevitch S, Barak S, Fait A Hortic Res. 2022; 9:uhac061.

PMID: 35531316 PMC: 9071376. DOI: 10.1093/hr/uhac061.


References
1.
Schauer N, Semel Y, Roessner U, Gur A, Balbo I, Carrari F . Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. Nat Biotechnol. 2006; 24(4):447-54. DOI: 10.1038/nbt1192. View

2.
Korver R, Koevoets I, Testerink C . Out of Shape During Stress: A Key Role for Auxin. Trends Plant Sci. 2018; 23(9):783-793. PMC: 6121082. DOI: 10.1016/j.tplants.2018.05.011. View

3.
Salvi S, Tuberosa R . To clone or not to clone plant QTLs: present and future challenges. Trends Plant Sci. 2005; 10(6):297-304. DOI: 10.1016/j.tplants.2005.04.008. View

4.
Riedelsheimer C, Lisec J, Czedik-Eysenberg A, Sulpice R, Flis A, Grieder C . Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize. Proc Natl Acad Sci U S A. 2012; 109(23):8872-7. PMC: 3384205. DOI: 10.1073/pnas.1120813109. View

5.
Toubiana D, Xue W, Zhang N, Kremling K, Gur A, Pilosof S . Correlation-Based Network Analysis of Metabolite and Enzyme Profiles Reveals a Role of Citrate Biosynthesis in Modulating N and C Metabolism in Zea mays. Front Plant Sci. 2016; 7:1022. PMC: 4940414. DOI: 10.3389/fpls.2016.01022. View