Project description:Lactobacillus casei is remarkably adaptive to diverse habitats. To understand the evolution and adaptation of Lb. casei strains isolated from different environments, the gene content of 22 Lb. casei strains isolated from various habitats (cheeses, n=8; plant materials, n=8; and human sources, n=6) were examined by comparative genome hybridization with an Lb. casei ATCC 334-based microarray.
Project description:Lactobacillus casei is remarkably adaptive to diverse habitats. To understand the evolution and adaptation of Lb. casei strains isolated from different environments, the gene content of 22 Lb. casei strains isolated from various habitats (cheeses, n=8; plant materials, n=8; and human sources, n=6) were examined by comparative genome hybridization with an Lb. casei ATCC 334-based microarray. Comparative genome hybridization was performed against an Affymetrix custom microarray designed to include 2,661 (97%) chromosomal and 17 (85%) plasmid CDSs predicted to occur in Lb. casei ATCC 334, as well as all predicted CDSs in the draft Lb. helveticus CNRZ 32 genome. CDSs that were not included in the microarray design were all transposase-encoding genes.
Project description:Transcription profile of 12 wt S.paradoxus strains originating from diverse geographical origins and natural habitats. Transcription profiles in two conditioins were compared: growth on glucose and growth on the naturally rare pentose sugar xylulose.
Project description:Transcription profile of 12 wt S.cerevisiae strains originating from diverse geographical origins and natural habitats. Transcription profiles in two conditioins were compared: growth on glucose and growth on the naturally rare pentose sugar xylulose.
Project description:Transcription profile of 12 wt S.paradoxus strains originating from diverse geographical origins and natural habitats. Transcription profiles in two conditioins were compared: growth on glucose and growth on the naturally rare pentose sugar xylulose. Two condition experiment, growth on glucose and on xylulose, 12 wt S.paradoxus strains
Project description:Transcription profile of 12 wt S.cerevisiae strains originating from diverse geographical origins and natural habitats. Transcription profiles in two conditioins were compared: growth on glucose and growth on the naturally rare pentose sugar xylulose. Two condition experiment, growth on glucose and on xylulose, 12 wt S. cerevisiae strains, two biological replicates
Project description:We created a multi-species microarray platform, containing probes to the whole genomes of seven different Saccharomyces species, with very dense coverage (one probe every ~500 bp) of the S. cerevisiae genome, including non-S288c regions, mitochondrial and 2 micron circle genomes, plus probes at fairly dense coverage (one probe every ~2,100 bp) for each of the genomes of six other Saccharomyces species: S. paradoxus, S. mikatae, S. kudriavzevii, S. bayanus, S. kluyveri and S. castellii. We performed array-Comparative Genomic Hybridization (aCGH) using this platform, examining 83 different Saccharomyces strains collected across a wide range of habitats; of these, 69 were widely used commercial S. cerevisiae wine strains, while the remaining 14 were from a wide range of other industrial and natural habitats. Thus, we were able to sample much of the pan-genome space of the Saccharomyces genus. We observed interspecific hybridization events, introgression events, and pervasive copy number variation (CNV) in all but a few of the strains. These CNVs were distributed throughout the strains such that they did not produce any clear phylogeny, suggesting extensive mating in both industrial and wild strains. To validate our results and to determine whether apparently similar introgressions and CNVs were identical by descent or recurrent, we also performed whole genome sequencing on nine of these strains. These data may help pinpoint genomic regions involved in adaptation to different industrial milieus, as well as shed light on the course of domestication of S. cerevisiae.
Project description:Triplets of Lactobacullus plantarum strains were isolated from nine contrasting habitats. Without any passage through other culture media, isolation and cultivation were on model media that strictly reproduced the chemical and physical conditions and stressors of the habitats of origin. Here, we demonstrated how L. plantarum regulates and shapes its transcriptome in response to contrasting habitats. Firstly, multivariate clustering analysis of transcriptional data (RNA-Seq), complemented with metabolomics and phenomics, grouped the strains according to the habitats of origin. Subsequently, selected strains from each habitat switched to repeated cultivation on MRS medium and transcriptomes homogenized into a unique cluster. Adaptation to this common medium mainly relied on activation of genes for phage- and prophage-related proteins and transposases. Finally, the comparison of growth across model media and with respect to MRS medium showed that 44% of the overall 3,112 gene transcripts changed depending on the specific habitat. Regulation and shaping of transcriptomes mainly concerned carbohydrate acquisition, pyruvate catabolism, proteolytic system and amino acid, lipid and inorganic ion transport and metabolism, with contrasting responses for contrasting habitats. Pathways reconstruction demonstrated how the large genome size of L. plantarum imparts transcriptome and metabolic flexibility as the basic mechanism for a nomadic lifestyle.
Project description:This dataset addresses two phenomena affected by reference strain bias in model organism research, specifically in the nematode C. elegans. I) C. elegans is the leading system for research into RNA interference (RNAi); this research has been conducted exclusively in the reference strain. However, sensitivity to RNAi is remarkably diverse across wild-type strains. Here, we used RNA sequencing to evaluate the transcriptional response of the reference strain and four other strains to RNAi by transcriptionally profiling these strains in three conditions: exogenous RNAi targeting germline-expressed genes 1) par-1 and 2) pos-1, and 3) the control condition. II) Gene expression quantification in non-reference strains relies on successful alignment of DNA reads to the reference genome, but high sequence divergence can lead to mapping failure. Here, we used this RNA-seq dataset to characterize the extent to which poor DNA genome assembly limits expression quantification inferences.