| Literature DB >> 26779249 |
Eric W Goolsby1, Chase M Mason2.
Abstract
Entities:
Keywords: adaptationism; function-valued traits; hyperaccumulation; manipulative experiments; metalliferous soils; physiology; tolerance
Year: 2016 PMID: 26779249 PMCID: PMC4705443 DOI: 10.3389/fpls.2015.01252
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Figure 1Demonstration of the mathematical impossibility of achieving hyperaccumulation in pots using soils with low metal concentrations, and the utility of understanding plant responses across experimental soil metal gradients. (A) In experiments assessing hyperaccumulation ability in pots, using soils with low metal concentrations results in rapid exhaustion of available soil metals as plants grow and increase in mass. In the example shown, a plant is grown in a pot filled with 1 kg of soil containing a soil metal concentration of either 1, 10, or 100 mg/kg, and the maximum possible plant metal concentration (if the plant were able to take up every metal ion in the soil) is plotted as a function of total plant biomass. Even with complete metal uptake, achieving hyperaccumulation thresholds is mathematically impossible for plants that grow to any appreciable size (e.g., reproductive stage in all but the very smallest species, like perhaps Arabidopsis). At 1 mg/kg of soil metals, reaching the hyperaccumulator threshold is essentially impossible regardless of plant size, while at 10 mg/kg it is impossible for plants growing to more than 1% of the soil mass in the pot, due to rapid dilution of accumulated metals across total plant biomass. The use of soil metal amendments (or “spiked” soils, e.g., 100 mg/kg in 1 kg of soil) is often necessary to detect hyperaccumulation ability in pot experiments. (B) Using experimental soil metal gradients provides a powerful approach to untangling the evolutionary dynamics of the separate traits of hyperaccumulation and tolerance. Assessing these traits at a single soil metal concentration can result in highly biased ancestral reconstructions due to the nonlinearity and threshold effects inherent in plant responses to soil metals. In the example shown (left tree), dose-response curves of metal accumulation (e.g., shoot metal concentration, in red) and metal tolerance (e.g., biomass or fitness, in blue) are generated using assessment over an experimental gradient of soil metal concentrations (x-axis), and ancestral reconstruction of these curves is performed (e.g., via the methods of Goolsby, 2015). The red dotted line represents hyperaccumulation threshold criteria. Using ancestral curve reconstruction (left tree), a single origin of hyperaccumulation (red star) is correctly identified, along with a single origin of tolerance (blue star) and one subsequent loss of tolerance (white star with blue outline). By contrast, assessing plant responses at a single soil metal concentration (here the soil metal concentration represented by the black triangle at the bottom of the left tree) captures only a snapshot of plant responses to metals (bar graphs, right tree). Using ancestral reconstruction based on such a narrow snapshot (right tree), one incorrectly infers a very different evolutionary history of hyperaccumulation and tolerance.