target. The spectra were acquired on a 4800 Plus MALDI TOF/TOF analyzer equipped with a Nd:YAG laser. First, all of the spots were measured in MS mode and then, up to 12 of the strongest precursors were selected for MS/MS analysis, which was performed with 1 kV of collision energy and an operating pressure of collision cell 
set to 1026 Torr. The peak lists from the MS/MS spectra were generated using GPS Explorer v. 3.6 and searched by locally installed Mascot v. 2.1 against the NCBInr protein database and a database of expressed sequence tags downloaded from GenBank. The database search criteria were as follows enzyme: trypsin; taxonomy: Zea mays; fixed modifications: S-methyl methanethiosulfonate modification of cysteines, iTRAQ on N-terminus and e-amino group of lysine; variable modification: methionine oxidation; peptide mass tolerance: 120 ppm, allowed one missed cleavage site; MS/MS tolerance: 0.2 Da; maximum peptide rank: 1; minimum ion score C.I.: 95%. The quantification was performed by the GPS Explorer software v. 3.6 and the ratios for the individual proteins were normalized in GPS Explorer. Statistical Analysis The data were subjected to one-way analysis of variance followed by Tukey-Kramer tests for the comparisons between individual genotype/water treatment combinations. The CoStat computer program, version 6.204 was used for all statistical evaluations. Supporting Information Drought Tolerance in Maize shows derived ratio ABT-267 chemical information reflecting difference in the response of both genotypes to drought stress. Functional categories sheets present only proteins, in which the absolute values of any of the following ratios exceeded 2: 2023S/2023C and CE704S/CE704C ratios reflecting stress-induced responses in individual genotypes, the derived ratio / reflecting difference in the response of both genotypes to drought stress. their help with the measurements of gas exchange and morphological parameters of plants and to Lenka Havelkova for technical help with the 2DGE. Over the past twenty years real-time qRT-PCR has become a powerful approach for the accurate quantification of gene expression. PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/22189787 During the development of this technique from the first studies with ethidium bromide staining, several important improvements have been introduced. However, in spite of the increased accuracy of real-time qRT-PCR there are still several frequent errors in experimental procedures which can lead to the generation of biologically meaningless data. In order to address this problem, a set of guidelines describing the minimum information necessary for the evaluation of qRTPCR experiments was recently proposed. These guidelines are now widely accepted in the biological science community; suffice it to say that the instructions for authors of several high-impact journals include the recommendation to follow these guidelines. Incorrect normalisation may lead to serious inaccuracy in data analysis. It is well-known that a normalisation strategy that relies on the use of reference genes is preferable for real-time qRT-PCR experiments. In some cases the degree of inaccuracy can reach a 10-fold error. To avoid this problem, some approaches for validation were proposed, including geNorm, NormFinder, BestKeeper, qBase. All of these approaches were subject to preliminary tests on human tissues, and have been applied to a wide range of other objects. In this study we are focusing on the application of qRT-PCR to plant studies. In the case of plant studies, Brunner and
