Plants produce an array of diverse secondary metabolites with important ecological functions, providing protection against pests, diseases, and abiotic stresses. Secondary metabolites are also a rich source of bioactive compounds for drug and agrochemical development. Despite the importance of these compounds, the metabolic diversity of plants remains largely unexploited, primarily due to the problems associated with mining large and complex genomes. It has recently emerged that genes for the synthesis of multiple major classes of plant-derived secondary metabolites (benzoxinones, diterpenes, triterpenes, and cyanogenic glycosides) are organized in clusters reminiscent of the metabolic gene clusters found in microbes. Many more secondary metabolic clusters are likely to emerge as the body of sequence information available for plants continues to grow, accelerated by high-throughput sequencing. Here, we describe approaches for the identification of secondary metabolic gene clusters in plants through forward and reverse genetics, map-based cloning, and genome mining and give examples of methods used for the analysis and functional confirmation of new clusters.