The influence of phylogeny on shoot heavy metal content in plants was investigated and the hypothesis tested that traits impacting on the accumulation of cadmium, chromium, copper, nickel, lead and zinc in plant shoots are associated.• Data suitable for comparative analyses were generated from a literature survey, using a residual maximum likelihood (REML) procedure. Both pair-wise regressions and principal components analyses (PCA) were performed on independent contrasts of shoot metal content. • Significant variation in shoot metal content occurred at the classification level of order and above, suggesting an ancient evolution of traits. Traits impacting on the accumulation of metals in plant shoots were associated. • This information can be used to improve predictions of soil-to-plant metal transfer, to formulate hypotheses on the origins of metal-accumulating phenotypes and to inform the exploitation of plant genetic resources for nutritional improvement and phytoremediation.

Understanding the behavior of sulfur (S) in the soil‐plant system is important for crop production, for predicting the movement of the radioisotope 35S in the environment, and for investigating the role of S in plant metabolism of xenobiotics. A database of relative mean S concentrations in 121 species of flowering plants was constructed using a Residual Maximum Likelihood (REML) procedure with new experimental data for 76 species and literature data for 57 species, there being 12 species in common. The relative mean S concentrations in plant species were normally distributed and their range greater than previously reported for S concentrations between plant species. There was a significant phylogenetic effect on S concentrations when they were analyzed using a nested ANOVA coded with a recent phylogeny of flowering plants. About 36% of the variance between species was associated with the rank of Order and above. At the rank of Order, S concentrations were Brassicales > Malphigiales > Lamiales > Rosales > Caryophyllales > Malvales > Poales > Fabales > Fagales > Asterales. Experiments to quantify intervarietal differences within Beta vulgaris, Triticum aestivum, and Cicer arietinum revealed that these reached a maximum in B. vulgaris at about 20% of those found at the species level and above. A comparison of relative mean S concentrations with previously reported relative mean concentrations for heavy metals suggested correlations between S and cadmium (Cd), and S and zinc (Zn). The frequency distributions and phylogenetic effects reported here are useful to understanding soil‐plant transfer of stable and radioactive S isotopes in agricultural and natural ecosystems and might aid investigations of plant response to xenobiotics.

Analyses reported here quantify the contribution of plant phylogeny and plant growth strategy to soil-to-plant transfer of Co. Estimated relative mean (ERM) Co concentrations in shoots of 241 species of flowering plant were derived using a residual maximum likelihood (REML) analysis. There were significant differences in, and a loge-normal frequency distribution of, ERM Co concentrations between species. A significant percentage of interspecies variance could be assigned to taxonomic categories above the species, (Family and above 21.5%; Order and above 12.22%). Time-series analysis of ERM Co concentrations ordered in the species-sequence of the Angiosperm Phylogeny Group (APG II (2003)) revealed significant autocorrelation with an increase from Commelinid Monocot to Asterid Eudicot and a pronounced peak in the Core Eudicots. ERM Co concentrations categorized by plant growth strategy sensu Grime (2001) showed an increase toward stress-tolerant strategies. Plant species are not, therefore, independent units of Co concentration--factors derived from higher levels of biological organization exert significant effects. These effects can provide the basis of new techniques for selecting plant species for biotechnologies and for predicting the exposure of organisms to Co. They show that plant phylogeny and growth strategy might help refine predictions of soil-to-plant transfer of a variety of pollutants, and suggest research that might link molecular and higher level processes in contaminated soil-plant systems.