Three beta-glucosidases (At1g66270-BGLU21, At1g66280-BGLU22, and At3g09260-BGLU23) were purified from the roots of Arabidopsis and their cDNAs were expressed in insect cells. In addition, two beta-glucosidase binding protein cDNAs (At3g16420; PBPI and At3g16430; PBPII) were expressed in Escherichia coli and their protein products purified. These binding proteins interact with beta-glucosidases and activate them. BGLU21, 22 and 23 hydrolyzed the natural substrate scopolin specifically and also hydrolyzed to some extent substrates whose aglycone moiety is similar to scopolin (e.g. esculin and 4-MU-glucoside). In contrast, they hydrolyzed poorly DIMBOA-glucoside and did not hydrolyze pNP- and oNP-glucosides. We determined the physicochemical properties of native and recombinant BGLUs, and found no differences between them. They were stable in a narrow pH range (5-7.5) and had temperature and pH optima for activity at 35 degrees C and pH 5.5, respectively. As for thermostability, >95% of their activity was retained at 40 degrees C but dramatically decreased at >50 degrees C. The apparent K(m) of native and recombinant enzymes for scopolin was 0.73 and 0.81 mM, respectively, and it was 5.8 and 9.7 mM, respectively, for esculin. Western blot analysis showed that all three enzymes were exclusively expressed in roots of seedlings but not in any other plant part or organ under normal conditions. Furthermore, spatial expression patterns of all eight genes belonging to subfamily 3 were investigated at the transcription level by RT-PCR.

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Local adaptation to climate in temperate forest trees involves the integration of multiple physiological, morphological, and phenological traits. Latitudinal clines are frequently observed for these traits, but environmental constraints also track longitude and altitude. We combined extensive phenotyping of 12 candidate adaptive traits, multivariate regression trees, quantitative genetics, and a genome-wide panel of SNP markers to better understand the interplay among geography, climate, and adaptation to abiotic factors in Populus trichocarpa. Heritabilities were low to moderate (0.13–0.32) and population differentiation for many traits exceeded the 99th percentile of the genome-wide distribution of FST, suggesting local adaptation. When climate variables were taken as predictors and the 12 traits as response variables in a multivariate regression tree analysis, evapotranspiration (Eref) explained the most variation, with subsequent splits related to mean temperature of the warmest month, frost-free period (FFP), and mean annual precipitation (MAP). These grouping matched relatively well the splits using geographic variables as predictors: the northernmost groups (short FFP and low Eref) had the lowest growth, and lowest cold injury index; the southern British Columbia group (low Eref and intermediate temperatures) had average growth and cold injury index; the group from the coast of California and Oregon (high Eref and FFP) had the highest growth performance and the highest cold injury index; and the southernmost, high-altitude group (with high Eref and low FFP) performed poorly, had high cold injury index, and lower water use efficiency. Taken together, these results suggest variation in both temperature and water availability across the range shape multivariate adaptive traits in poplar.