Analysis of the Relationships between Growth, Photosynthesis and Carbohydrate Metabolism Using Quantitative Trait Loci (QTLs) in Young Maize Plants Subjected to Water Deprivation

Autor: G. Cornic, J. L. Prioul, Damien M. de Vienne, J. P. Rocher, Claudine Thévenot, S. Pelleschi, A. Leonardi
Rok vydání: 2006
Předmět:
Zdroj: Molecular Breeding. 17:21-39
ISSN: 1572-9788
1380-3743
DOI: 10.1007/s11032-005-1031-2
Popis: One hundred to 120 maize recombinant inbred lines at the mature fourth leaf stage derived from F-2 and Io parental lines were grown in a glasshouse and were deprived of water for 9 days in order to detect pertinent markers of the physiological response to water stress which may be used for breeding. Carbohydrate metabolism QTLs were compared to photosynthesis gas exchange QTLs. The locations of these QTLs were further compared with those of morphological trait QTLs when water availability varied. The traits ranged from three enzyme activities (invertase, sucrose-P synthase, ADP glucose pyrophosphorylase) and hexose, sucrose, starch content to CO2 uptake and stomatal conductance, water status, leaf size, root/shoot ratio, and ABA (leaf, root and xylem sap). Four main results were obtained (1) only 14 % of QTLs were common to both drought and watered treatments, confirming the existence of stress specific chromosome regions, (2) the QTLs tended to form clusters, frequently consisting of QTLs from different classes (growth, photosynthesis, water status, carbohydrate metabolism and ABA), (3) carbohydrate metabolism trait QTLs were more frequently co-located with growth trait QTLs than photosynthesis related ones, especially in control conditions, (4) one co-location was observed between the three enzyme activities implied in sucrose and starch metabolism and a corresponding structural gene, which can be considered as a candidate gene for explaining part of the variability of each enzymatic trait (invertase, sucrose-P synthase, ADPglucose pyrophosphorylase). It is concluded that, carbohydrate metabolism provides valuable traits for understanding and improving maize responses to water stress.
Databáze: OpenAIRE