崔玉涛推荐的药:外文文献 高手帮忙

Historically, biological experiments have been designed to address a targeted research question. However, the nature of genome-scale research, coupled with the rapid development of databases to store the resulting data, now makes it possible for the same data to be used by scientists with completely different research objectives. Because the data in these databases often are integrated from many different sources, their ultimate utility is dependent on the uniformity of the methods used for its collection. In this light, we have developed a standardized process for the collection of phenotypic data that is built on a series of growth stage definitions. The growth stages serve both as developmental landmarks and as triggers for the collection of detailed morphological data. The process is generic and can be applied to any organism for which growth stages have been defined. Using this method, we have established a data set representative of wild-type Col-0 plants grown under standardized environmental conditions and validated our ability to detect novel phenotypes through the characterization of single-gene mutations (Figures 4 and 5). The same process can be used for the detection of phenotypic alterations resulting from more divergent genetic backgrounds (e.g., different ecotypes) as well as those resulting from the introduction of biotic or abiotic stress.