Natural genetic variation underlying the negative effect of elevated CO on ionome composition in .

The elevation of atmospheric CO leads to a decline in plant mineral content, which might pose a significant threat to food security in coming decades. Although few genes have been identified for the negative effect of elevated CO on plant mineral composition, several studies suggest the existence of genetic factors. Here, we performed a large-scale study to explore genetic diversity of plant ionome responses to elevated CO, using six hundred accessions, representing geographical distributions ranging from worldwide to regional and local environments.

Root system growth and development responses to elevated CO2: underlying signalling mechanisms and role in improving plant CO2 capture and soil C storage.

Carbon storage in soils is one of the most promising strategies for mitigating greenhouse gas emissions and the associated climate change. In this context, how plant root systems respond to the elevation of the atmospheric CO2 concentration is of crucial importance because these organs are the main source of C input into the soils. It is expected that root growth will be stimulated by elevated CO2 as a consequence of enhanced photosynthesis, and that this will favour belowground C sequestration.

Characterization of the signalling pathways involved in the repression of root nitrate uptake by nitrate in Arabidopsis thaliana.

In Arabidopsis thaliana, root high-affinity nitrate (NO3-) uptake depends mainly on NRT2.1, 2.4, and 2.

A gene regulatory network in Arabidopsis roots reveals features and regulators of the plant response to elevated CO.

The elevation of CO in the atmosphere increases plant biomass but decreases their mineral content. The genetic and molecular bases of these effects remain mostly unknown, in particular in the root system, which is responsible for plant nutrient uptake. To gain knowledge about the effect of elevated CO on plant growth and physiology, and to identify its regulatory in the roots, we analyzed genome expression in Arabidopsis roots through a combinatorial design with contrasted levels of CO , nitrate, and iron.