Project description:The MAST-4 (marine stramenopile group 4) is a widespread uncultured picoeukaryote that makes up an important fraction of marine heterotrophic flagellates. This group has low genetic divergence and is composed of a small number of putative species. We combined ARISA (automated ribosomal intergenic spacer analysis) and ITS (Internal Transcribed Spacer) clone libraries to study the biogeography of this marine protist, examining both spatial and temporal trends in MAST-4 assemblages and associated environmental factors. The most represented MAST-4 clades appeared adapted to different temperature ranges, and their distributions did not suggest clear geographical barriers for dispersal. Distant samples sharing the same temperature had very similar assemblages, especially in cold temperatures, where only one clade, E1, dominated. The most highly represented clades, A and E1, showed very little differentiation between populations from distant geographical regions. Within a single site, temporal variation also followed patterns governed by temperature. Our results contribute to the general discussion on microbial biogeography by showing strong environmental selection for some picoeukaryotes in the marine environment.
Project description:The cellular composition of heterogeneous samples can be predicted from reference gene expression profiles that represent the homogeneous, constituent populations of the heterogeneous samples. However, existing methods fail when the reference profiles are not representative of the constituent populations. We developed PERT, a new probabilistic expression deconvolution method, to address this limitation. PERT was used to deconvolve cellular composition of variably sourced and treated heterogeneous human blood samples. Our results indicate that even after correcting batch effects, cells presenting the same cell surface antigens display different transcriptional programs when they are uncultured versus culture-derived. Given gene expression profiles of culture-derived heterogeneous samples and profiles of uncultured reference populations, PERT was able to accurately recover proportions of pure populations composing the heterogeneous samples. We anticipate that PERT will be widely applicable to expression deconvolution problems using profiles from reference populations that vary from the corresponding constituent populations in cellular state but not cellular identity. Gene expression microarray to examine transcriptome variations between uncultured and culture-deried blood cells of the same phenotype as defined by the on and off expression of antigens.
