Genome-wide association mapping for adult resistance to powdery mildew in common wheat.

Blumeria graminis f. sp. tritici, the causal agent of wheat powdery mildew disease, can occur at all stages of the crop and constantly threatens wheat production. To identify candidate resistance genes for powdery mildew, we performed GWAS (genome-wide association studies) on a total set of 329 wheat varieties obtained from different origins. These wheat materials were genotyped using wheat 90K SNP array and evaluated for their resistance in either field or glasshouse condition from 2016 to 2018. Using a mixed linear model, 33 SNP markers of which 14 QTL (quantitative trait loci) were later defined were observed to associate with powdery mildew resistance. Among these, QTL on chromosome 3A, 3B, 6D and 7D were concluded as potentially new QTL. Exploration of candidate genes for new QTL suggested roles of these genes involved in encoding disease resistance and defence-related proteins, and regulating early immune response to the pathogen. Overall, the results reveal that GWAS can be an effective means of identifying marker-trait associations, though further functional validation and fine-mapping of gene candidates are required before creating opportunities for developing new resistant genotypes.

Optimized Protocol for OnGuard2 Software in Studying Guard Cell Membrane Transport and Stomatal Physiology.

Stomata are key innovation in plants that drives the global carbon and water cycle. In the past few decades, many stomatal models have been developed for studying gas exchange, photosynthesis, and transpirational characteristics of plants, but they provide limited information on stomatal mechanisms at the molecular and cellular levels. Quantitative mathematical modeling offers an effective in silico approach to explore the link between microscopic transporter functioning and the macroscopic stomatal characteristics. As a first step, a dynamic system model based on the guard cell membrane transport system was developed and encoded in the OnGuard software. This software has already generated a wealth of testable predictions and outcomes sufficient to guide phenotypic and mutational studies. It has a user-friendly interface, which can be easily accessed by researchers to manipulate the key elements and parameters in the system for guard cell simulation in plants. To promote the adoption of this OnGuard application, here we outline a standard protocol that will enable users with experience in basic plant physiology, cell biology, and membrane transport to advance quickly in learning to use it.