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Planta ; 237(1): 265-77, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23014928

ABSTRACT

The use of artificial freezing tests, identification of biomarkers linked to or directly involved in the low-temperature tolerance processes, could prove useful in applied strawberry breeding. This study was conducted to identify genotypes of diploid strawberry that differ in their tolerance to low-temperature stress and to investigate whether a set of candidate proteins and metabolites correlate with the level of tolerance. 17 Fragaria vesca, 2 F. nilgerrensis, 2 F. nubicola, and 1 F. pentaphylla genotypes were evaluated for low-temperature tolerance. Estimates of temperatures where 50 % of the plants survived (LT50) ranged from -4.7 to -12.0 °C between the genotypes. Among the F. vesca genotypes, the LT50 varied from -7.7 °C to -12.0 °C. Among the most tolerant were three F. vesca ssp. bracteata genotypes (FDP821, NCGR424, and NCGR502), while a F. vesca ssp. californica genotype (FDP817) was the least tolerant (LT50) -7.7 °C). Alcohol dehydrogenase (ADH), total dehydrin expression, and content of central metabolism constituents were assayed in select plants acclimated at 2 °C. The LT50 estimates and the expression of ADH and total dehydrins were highly correlated (r(adh) = -0.87, r (dehyd) = -0.82). Compounds related to the citric acid cycle were quantified in the leaves during acclimation. While several sugars and acids were significantly correlated to the LT50 estimates early in the acclimation period, only galactinol proved to be a good LT50 predictor after 28 days of acclimation (r(galact) = 0.79). It is concluded that ADH, dehydrins, and galactinol show great potential to serve as biomarkers for cold tolerance in diploid strawberry.


Subject(s)
Alcohol Dehydrogenase/metabolism , Cold Temperature , Fragaria/metabolism , Plant Proteins/metabolism , Acclimatization , Alcohol Dehydrogenase/genetics , Altitude , Blotting, Western , Cluster Analysis , Diploidy , Fragaria/genetics , Freezing , Gas Chromatography-Mass Spectrometry , Genotype , Linear Models , Metabolomics/classification , Metabolomics/methods , Plant Leaves/genetics , Plant Leaves/metabolism , Plant Proteins/genetics , Principal Component Analysis , Species Specificity
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