Inhibition of Type 2C Protein Phosphatases by ABA Receptors in Abscisic Acid-Mediated Plant Stress Responses.

Abscisic acid (ABA) signaling pathway constitutes a key stress response mechanism in plants. Alternate interaction of a type 2C protein phosphatase (PP2C) with either an ABA receptor or a SNF1-related protein kinase 2 (SnRK2) is at the core of regulation of the ABA signaling pathway. Binding of an ABA receptor to a PP2C inhibits the enzymatic activity of the PP2C. Presence of multiple paralogs of ABA receptors and PP2Cs necessitates development of an inhibition assay. Here, we describe how to prepare the recombinant proteins of ABA receptors and PP2Cs for the inhibition assay and how to perform a colorimetry-based inhibition assay.

Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis.

Partial least squares regression (PLSR) modeling was performed to predict the moisture content in steamed, dried purple sweet potato based on spectral data obtained from hyperspectral imaging analysis. The PLSR model with a combination of multiplicative scatter correction, Savitzky-Golay, and first derivative exhibited the highest accuracy (RP 2 = 0.9754). The wavelengths found that strongly affected the PLSR model were 961.12, 1065.50, 1083.93, 1173.23, and 1233.89 nm. These wavelengths were associated with the O-H second overtone and the second overtone of C-H, C-H2, and C-H3. When PLSR modeling was performed using these selected wavelengths, the prediction accuracy of the PLSR model exhibited high accuracy (RP 2 = 0.9521). Therefore, the moisture content could be predicted with high accuracy using only five wavelengths rather than the full spectrum.