Introduction and Background
نویسندگان
چکیده
Over the last several years, a number of plant studies have utilized high throughput analysis methods, such as expression profiling, protein quantization, and metabolic profiling, on plants to obtain large data sets of molecular phenotypes on a variety of genetic backgrounds (see Young and Udvardi, 2008). For example, metabolic profiling has been used to observe the effects of mutated genes (Feihn et al., 2000) and genetically map quantitative metabolite traits in a population of introgression lines (Schauer et al., 2006). Despite such prevalence and interest in these approaches, there has been relatively little work to reconcile the kind of data obtained with these methods to plant breeding theory. There are many examples of breeding for traits identified with a rapid assay, such as spectroscopy or UV-chromatography, from the last several decades, but adaptation of the newer profiling approaches has not been intuitive. The molecular traits that should be improved are not initially defined, as they are generally not the desired end product themselves. In other words, the final overall desired phenotypes are known, but the quantitative molecular phenotypes that contribute to them are not, requiring some association between them to be made. The compensating advantage of profiling techniques is the ability to accurately determine the abundance and identity of a large variety of molecules, on the order of one hundred to tens of thousands, depending on the methods and molecules. The challenge is to discover ways to coherently interpret and apply these kinds of data, which are now a highly available resource. This will require basic research into the range and conditions of molecular variation, nature of inheritance, and their relationships to the traditional agronomic traits of interest.
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تاریخ انتشار 2009