Molecular diversity of new Thermococcales isolates from a single area of hydrothermal deep-sea vents as revealed by randomly amplified polymorphic DNA fingerprinting and 16S rRNA gene sequence analysis.

Members of the Thermococcales are anaerobic Archaea belonging to the kingdom Euryarchaea that are studied in many laboratories as model organisms for hyperthermophiles. We describe here a molecular analysis of 86 new Thermococcales isolates collected from six different chimneys of a single hydrothermal field located in the 13 degrees N 104 degrees W segment of the East Pacific ridge at a depth of 2,330 m. These isolates were sorted by randomly amplified polymorphic DNA (RAPD) fingerprinting into nine groups, and nine unique RAPD profiles were obtained. One RAPD group corresponds to new isolates of Thermococcus hydrothermalis, whereas all other groups and isolates with unique profiles are different from the 22 reference strains included in this study. Analysis of 16S rRNA gene sequences of representatives of each RAPD group and unique profiles showed that one group corresponds to Pyrococcus strains, whereas all the other isolates are Thermococcus strains. We estimated that our collection may contain at least 11 new species. These putative species, isolated from a single area of hydrothermal deep-sea vents, are dispersed in the 16S rRNA tree among the reference strains previously isolated from diverse hot environments (terrestrial, shallow water, hydrothermal vents) located around the world, suggesting that there is a high degree of dispersal of Thermococcales: About one-half of our isolates contain extrachromosomal elements that could be used to search for novel replication proteins and to develop genetic tools for hyperthermophiles.

Use of predictive modeling for Propionibacterium strain classification.

Computed data analysis of biochemical or molecular profiles is currently used in studies of microbial taxonomy, epidemiology, and microbial diversity. We assessed the use of Partial Least Squares (PLS) regression for multivariate data analysis in bacteriology. We identified clear relationships between RAPD profiles of propionibacteria strains and their species classification, autolytic capacities, and their origins. The PLS regression also predicted species identity of some strains with RAPD profiles partially related to those of reference strains. The PLS analysis also allowed us to identify key characteristics to use to classify strains. PLS regression is particularly well adapted to i) describing a collection of bacterial isolates, ii) justifying bacterial groupings using several sets of data, and iii) predicting phenotypic characters of strains that have been classified by routine typing methods.

Archaeal phylogeny based on ribosomal proteins.

Until recently, phylogenetic analyses of Archaea have mainly been based on ribosomal RNA (rRNA) sequence comparisons, leading to the distinction of the two major archaeal phyla: the Euryarchaeota and the Crenarchaeota. Here, thanks to the recent sequencing of several archaeal genomes, we have constructed a phylogeny based on the fusion of the sequences of the 53 ribosomal proteins present in most of the archaeal species. This phylogeny was remarkably congruent with the rRNA phylogeny, suggesting that both reflected the actual phylogeny of the domain Archaea even if some nodes remained unresolved. In both cases, the branches leading to hyperthermophilic species were short, suggesting that the evolutionary rate of their genes has been slowed down by structural constraints related to environmental adaptation. In addition, to estimate the impact of lateral gene transfer (LGT) on our tree reconstruction, we used a new method that revealed that 8 genes out of the 53 ribosomal proteins used in our study were likely affected by LGT. This strongly suggested that a core of 45 nontransferred ribosomal protein genes existed in Archaea that can be tentatively used to infer the phylogeny of this domain. Interestingly, the tree obtained using only the eight ribosomal proteins likely affected by LGT was not very different from the consensus tree, indicating that LGT mainly brought random phylogenetic noise. The major difference involves organisms living in similar environments, suggesting that LGTs are mainly directed by the physical proximity of the organisms rather than by their phylogenetic proximity.