Because an organism's metabolome is largely defined by its genome, different species will have different metabolomes.  Indeed, the fact that the metabolome of a tomato is different from the metabolome of an apple is the reason why these two fruits taste so different.   Furthermore, different tissues, different organs and biofluids associated with those organs and tissues can also have distinctly different metabolomes.  The fact that different organisms and different tissues/biofluids have such different metabolomes has led to the development of a number of organism-specific and biofluid-specific metabolome databases.  Some of the better known metabolome databases include the Human Metabolome Database or HMDB, the Yeast Metabolome Database or YMDB, the E. coli Metabolome Database or ECMDB, the Arabidopsis metabolome database or AraCyc  as well as the Urine Metabolome Database, the Cerebrospinal Fluid (CSF) Metabolome Database  and the Serum Metabolome Database.  The latter three databases are specific to human biofluids.  A number of very popular general metabolite databases also exist including KEGG, MetaboLights, the Golm Metabolome Database, MetaCyc, LipidMaps and Metlin.  Metabolome databases can be distinguished from metabolite databases in that metabolite databases contain lightly annotated or synoptic metabolite data from multiple organisms while metabolome databases contain richly detailed and heavily referenced chemical, pathway, spectral and metabolite concentration data for specific organisms.