Phylogenetic analysis Phylogenetic and molecular evolutionary analyses were conducted using MEGA version 4 [54]. C. salexigens EupR and other LuxR family proteins including well characterized members of different subclasses with a common LuxR-C-like conserved domain
and others different domains were included in the phylogenetic analyses. We also included some uncharacterized proteins with a high similarity to C. salexigens EupR, including two paralogs present in C. salexigens genome. The sequences were aligned with clustalW (1.6) using a BLOSUM62 matrix and manually edited. The phylogenetic tree was inferred using the Neighbor-joining method [55] and the evolutionary distances were computed using the Poisson correction method. The rate Tipifarnib research buy selleckchem variation among sites was modelled with a gamma distribution (shape parameter = 1.5) and all the positions containing gaps and missing data were eliminated only in pairwise sequence comparisons. The robustness of the tree branches was assessed by performing bootstrap analysis of the Neighbor-joining data based on 1000 resamplings [56]. DNA and protein sequences analysis The sequence of the C. salexigens genome is available at NCBI microbial
genome database (http://www.ncbi.nlm.nih.gov/genomes/lproks.cgi Ac N°: NC_007963). Sequence data were analyzed using PSI-BLAST at NCBI server http://www.ncbi.nlm.nih.gov/BLAST. Promoter sequences were predicted using BGDP Neural Network Promoter Prediction
http://www.fruitfly.org/seq_tools/promoter.html. Signal peptides and topology of proteins were predicted using SMART 6 (http://smart.embl-heidelberg.de/; [57, 58]). Other programs and databases Interleukin-3 receptor used in proteins topology and functional analysis were STRING 8.2 (http://string.embl.de/; [38]) KEGG (http://www.genome.ad.jp/kegg/pathway/ko/ko02020.html; [59]), Signaling census (http://www.ncbi.nlm.nih.gov/Complete_Genomes/SignalCensus.html; [28, 29]), PROSITE (http://www.expasy.org/prosite/; [60]), KU55933 in vitro BLOCKS (http://blocks.fhcrc.org/; [61]), Pfam (http://pfam.janelia.org/; [62]), CDD (http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml; [27]), InterProScan (http://www.ebi.ac.uk/interpro/; [63]), and Phobius (http://www.ebi.ac.uk/Tools/phobius/; [64]). Acknowledgements This research was financially supported by grants from the Spanish Ministerio de Ciencia e Innovación (BIO2008-04117), and Junta de Andalucía (P08-CVI-03724). Javier Rodriguez-Moya and Mercedes Reina-Bueno were recipients of a fellowship from the Spanish Ministerio de Educación y Ciencia. References 1. Bremer E, Krämer R: Coping with osmotic challenges: osmoregulation trough accumulation and release of compatible solutes in bacteria. In Bacterial Stress Responses. Edited by: Storz G, Hengge-Aronis R.