RESUMO
The vast biodiversity of the microbial world and how little is known about it, has already been revealed by extensive metagenomics analyses. Our rudimentary knowledge of microbes stems from difficulties concerning their isolation and culture in laboratory conditions, which is necessary for describing their phenotype, among other things, for biotechnological purposes. An important component of the understudied ecosystems is methanogens, archaea producing a potent greenhouse-effect gas methane. Therefore, we created PhyMet2 , the first database that combines descriptions of methanogens and their culturing conditions with genetic information. The database contains a set of utilities that facilitate interactive data browsing, data comparison, phylogeny exploration and searching for sequence homologues. The most unique feature of the database is the web server MethanoGram, which can be used to significantly reduce the time and cost of searching for the optimal culturing conditions of methanogens by predicting them based on 16S RNA sequences. The database will aid many researchers in exploring the world of methanogens and their applications in biotechnological processes. PhyMet2 with the MethanoGram predictor is available at http://metanogen.biotech.uni.wroc.pl.
