| Literature DB >> 28607358 |
Or Sperling1, Lucas C R Silva2, Aude Tixier3, Guillaume Théroux-Rancourt3, Maciej A Zwieniecki3.
Abstract
Trees experience two distinct environments: thermally-variable air and thermally-buffered soil. This generates intra-tree temperature gradients, which can affect carbon metabolism andEntities:
Mesh:
Year: 2017 PMID: 28607358 PMCID: PMC5468369 DOI: 10.1038/s41598-017-03608-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Apoplastic SC concentrations in perfused branch segments at variable temperatures. 15 cm long and 10 mm in diameter branches were submitted to 12 °C (blue circles), 22 °C (green triangles), and 32 °C (red squares) and perfused with sucrose solution. The solution’s input concentration was 3.42 g L−1 sucrose (red horizontal line) and flow rate was 0.68 g h−1. (A) SC concentration of perfused solution in branches changing temperature every 150 minutes (from 22 °C to 12 °C and then to 32 °C, 450 minutes total). (B) The final SC concentration of perfused solution (after 150 minutes at a given temperature) decreased with temperature in a linear manner (dotted line, R2 = 0.81, df = 16, p = 1.433e−7, grey area denotes 95% confidence intervals). The intercept value of initial SC concentration (i.e. the temperature at zero net uptake of SC) was 14.5 °C and is referred to as the compensation point. (C) The rate of SC uptake from the perfused solution (orange boxes) vs. the rate of SC lost to stem respiration (black panels) during the 150 minutes at each temperature.
Figure 2Impact of temperature gradients on nonstructural carbohydrates redistribution in young trees. (A) Soluble carbohydrates (SC), (B) starch, and (C) C derived from 13CO2 levels in the leaves, bark at 30 cm from soil, stem at 50, 30, and 5 cm above soil, and roots control trees (25 °Cshoot/25 °Croot, light gray columns), simulated spring (25/10, gray columns), or simulated fall (10/25, dark gray columns). Error bars denote standard errors and lowercase letters denote statistical differences (two-ways Anova and Tukey-HSD, P < 0.005, df = 16).
Figure 3In-situ representation of seasonal changes in root-to-shoot temperature gradients and starch levels in the canopy of mature orchard trees. (A) Temperature variation and gradients during bud-break, fruit set, vegetative growth, abscission, and dormancy at the canopy (blue line, shaded area denotes SE values of 7 days) and in the roots zone (30 cm deep, red line and shade). Pink line represents the 14.5 °C compensation point (established in experiment #1 with the appropriate 95% confidence intervals). (B) Starch levels in one-year-old branches collected at 11:00 from 5 mature trees. Gray boxes denote the 95% confidence intervals, thick line in the box exhibits the average, and circles show the starch levels at each tree. Dashed vertical lines separate between the phenological stages. (C) A vector illustration to emphasize the magnitude and direction of starch dynamics in the branches at the different phenological stages.
Figure 4A conceptual model of carbohydrate redistribution due to root-to-canopy temperature gradients. The model summarizes differences observed in experiment #2 between the 25 °Cshoot/10 °Croot (spring) and 10 °Cshoot/25 °Croot (fall) treatments and the control group (25 °Cshoot/25 °Croot). Significant changes (relative to control) in soluble carbohydrates (SC), starch (ST), or 13C derived from new photosynthates following a pulse of 13CO2 are denoted by ± signs. Arrows represent the proposed path for sugar redistribution and the horizontal red line shows an impaired pathway and compartmentalization of NSC transport. Thermal images of the tree demonstrate the temperature gradients from root to canopy.