Genetic manipulation of stomatal density influences stomatal size, plant growth and tolerance to restricted water supply across a growth carbon dioxide gradient

Author:

Doheny-Adams Timothy1,Hunt Lee1,Franks Peter J.23,Beerling David J.2,Gray Julie E.1

Affiliation:

1. Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield S10 2TN, UK

2. Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK

3. Faculty of Agriculture, Food and Natural Resources, University of Sydney, New South Wales 2006, Australia

Abstract

To investigate the impact of manipulating stomatal density, a collection of Arabidopsis epidermal patterning factor (EPF) mutants with an approximately 16-fold range of stomatal densities (approx. 20–325% of that of control plants) were grown at three atmospheric carbon dioxide (CO 2 ) concentrations (200, 450 and 1000 ppm), and 30 per cent or 70 per cent soil water content. A strong negative correlation between stomatal size ( S ) and stomatal density ( D ) was observed, suggesting that factors that control D also affect S . Under some but not all conditions, mutant plants exhibited abnormal stomatal density responses to CO 2 concentration, suggesting that the EPF signalling pathway may play a role in the environmental adjustment of D . In response to reduced water availability, maximal stomatal conductance was adjusted through reductions in S , rather than D . Plant size negatively correlated with D . For example, at 450 ppm CO 2 EPF2-overexpressing plants, with reduced D , had larger leaves and increased dry weight in comparison with controls. The growth of these plants was also less adversely affected by reduced water availability than plants with higher D , indicating that plants with low D may be well suited to growth under predicted future atmospheric CO 2 environments and/or water-scarce environments.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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