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Gini provides a tonic for root hair analysis

Root hairs are single-cell protuberances that elongate by tip growth, and which are formed from specialized precursor cells (trichoblasts) at particular locations in the growing root. Under some conditions, individual plants of the same species and genotype differ markedly in the density of root hairs, as shown in the very interesting study by a joint Chinese–American team based at Nanjing University and Pennsylvania State University (He et al., pp. 287–293). They have applied a mathematical function, the Gini coefficient, to inequalities in root hair density in Arabidopsis thaliana. As is very clearly explained by the authors, the Gini coefficient is based on the Lorenz curve that was originally used to describe inequalities in wealth distribution within human society, but it is equally applicable to studies of other types of inequality, including root hair density. Both density and inequality were greatly affected by the nutrient content of the growth medium, especially with respect to phosphorus (P). Under conditions of P sufficiency, root hair density was lowest and inter-plant inequality was highest. When the amount of available P was decreased, the root hair density increased. This is not, of course, a new observation, but what is new is the clear demonstration that the degree of inequality decreased as the provision of P declined. Indeed, at the lowest P concentrations used, the Gini coefficient was reduced almost to zero. Ethylene clearly has a role in these responses because inhibition of ethylene action at low P concentrations prevented the increase in density and the decrease in inequality, while addition of the ethylene precursor 1-methylcyclopropene at high P concentrations mimicked the effects of low P on density and inequality. Of course, what remain to be discovered are the internal control mechanisms by which these effects are manifest – a challenging line of further research for the authors.

Professor J. A. Bryant
University of Exeter, UK
j.a.bryant{at}exeter.ac.uk





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