Littorina saxatilis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA550990 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9651720_1.fastq.gz | Fastqsanger.gz | |||
| SRR9651720_2.fastq.gz | Fastqsanger.gz | |||
| SRR9651721_1.fastq.gz | Fastqsanger.gz | |||
| SRR9651721_2.fastq.gz | Fastqsanger.gz | |||
| SRR9651722_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Littorina saxatilis Genome sequencing and population re-sequencing
| PRJNA494650 | ENA
Project description:RNA-seq of oviduct transcriptomes of three species of the "saxatilis" group of closely related molluscs species: Littorina saxatilis, L. compressa, L. arcana
| PRJNA707549 | ENA
Project description:Background: Array comparative genomic hybridization (aCGH) is commonly used to screen different types of genetic variation in humans and model species. Here, we performed aCGH using an oligonucleotide gene-expression array for a non-model species, the intertidal snail Littorina saxatilis. First, we tested what types of genetic variation can be detected by this method using direct re-sequencing and comparison to the Littorina genome draft. Secondly, we performed a genome-wide comparison of four closely related Littorina species: L. fabalis, L. compressa, L. arcana and L. saxatilis and of populations of L. saxatilis found in Spain, Britain and Sweden. Finally, we tested whether we could identify genetic variation underlying “Crab” and “Wave” ecotypes of L. saxatilis. Results: We could reliably detect copy number variations, deletions and high sequence divergence (i.e. above 3%), but not single nucleotide polymorphisms. The overall hybridization pattern and number of significantly diverged genes were in close agreement with earlier phylogenetic reconstructions based on single genes. The trichotomy of L. arcana, L. compressa and L. saxatilis could not be resolved and we argue that these divergence events have occurred recently and very close in time. We found evidence for high levels of segmental duplication in the Littorina genome (10% of the transcripts represented on the array and up to 23% of the analyzed genomic fragments); duplicated genes and regions were mostly the same in all analyzed species. Finally, this method discriminated geographically distant populations of L. saxatilis, but we did not detect any significant genome divergence associated with ecotypes of L. saxatilis. Conclusions: The present study provides new information on the sensitivity and the potential use of oligonucleotide arrays for genotyping of non-model organisms. Applying this method to Littorina species yields insights into genome evolution following the recent species radiation and supports earlier single-gene based phylogenies. Genetic differentiation of L. saxatilis ecotypes was not detected in this study, despite pronounced innate phenotypic differences. The reason may be that these differences are due to single-nucleotide polymorphisms.
2014-07-29 | GSE59825 | GEO
Project description:Natural selection often produces parallel phenotypic changes in response to a similar adaptive challenge. However, the extent to which parallel gene expression differences and genomic divergence underlie parallel phenotypic traits and whether they are decoupled or not remains largely unexplored. We performed a population genomic study of parallel local adaptation among replicate ecotype pairs of the rough periwinkle (Littorina saxatilis) at a regional geographical scale (NW Spain). We show that phenotypic divergence followed complex evolutionary paths, affecting multiple loci, and including the parallel recruitment of the same genes as well as completely different genes in distinct ecotype pairs. The majority of divergent genes were divergent either for gene expression or coding sequence, but not for both simultaneously, providing evidence for a decoupled evolution among regulatory and coding regions. Overall, our findings suggest that gene expression and coding sequences may evolve independently as a result of being distinctly targeted by evolutionary constraints, and that divergent selection significantly contributed to the process of molecular differentiation among ecotype pairs.
2018-10-02 | GSE120697 | GEO
Project description:Background: Array comparative genomic hybridization (aCGH) is commonly used to screen different types of genetic variation in humans and model species. Here, we performed aCGH using an oligonucleotide gene-expression array for a non-model species, the intertidal snail Littorina saxatilis. First, we tested what types of genetic variation can be detected by this method using direct re-sequencing and comparison to the Littorina genome draft. Secondly, we performed a genome-wide comparison of four closely related Littorina species: L. fabalis, L. compressa, L. arcana and L. saxatilis and of populations of L. saxatilis found in Spain, Britain and Sweden. Finally, we tested whether we could identify genetic variation underlying M-bM-^@M-^\CrabM-bM-^@M-^] and M-bM-^@M-^\WaveM-bM-^@M-^] ecotypes of L. saxatilis. Results: We could reliably detect copy number variations, deletions and high sequence divergence (i.e. above 3%), but not single nucleotide polymorphisms. The overall hybridization pattern and number of significantly diverged genes were in close agreement with earlier phylogenetic reconstructions based on single genes. The trichotomy of L. arcana, L. compressa and L. saxatilis could not be resolved and we argue that these divergence events have occurred recently and very close in time. We found evidence for high levels of segmental duplication in the Littorina genome (10% of the transcripts represented on the array and up to 23% of the analyzed genomic fragments); duplicated genes and regions were mostly the same in all analyzed species. Finally, this method discriminated geographically distant populations of L. saxatilis, but we did not detect any significant genome divergence associated with ecotypes of L. saxatilis. Conclusions: The present study provides new information on the sensitivity and the potential use of oligonucleotide arrays for genotyping of non-model organisms. Applying this method to Littorina species yields insights into genome evolution following the recent species radiation and supports earlier single-gene based phylogenies. Genetic differentiation of L. saxatilis ecotypes was not detected in this study, despite pronounced innate phenotypic differences. The reason may be that these differences are due to single-nucleotide polymorphisms. Genomic DNA samples of L. fabalis, L. compressa, L. arcana and 3 geographic populations x 2 ecotypes of L. saxatilis (n=4 per group) have been hybridized to a transcriptomic oligoarray.
2014-07-29 | E-GEOD-59825 | biostudies-arrayexpress
Project description:An EST-based genome scan using 454 sequencing in the marine snail Littorina saxatilis
| PRJNA79699 | ENA
Project description:Natural selection often produces parallel phenotypic changes in response to a similar adaptive challenge. However, the extent to which parallel gene expression differences and genomic divergence underlie parallel phenotypic traits and whether they are decoupled or not remains largely unexplored. We performed a population genomic study of parallel local adaptation among replicate ecotype pairs of the rough periwinkle (Littorina saxatilis) at a regional geographical scale (NW Spain). We show that phenotypic divergence followed complex evolutionary paths, affecting multiple loci, and including the parallel recruitment of the same genes as well as completely different genes in distinct ecotype pairs. The majority of divergent genes were divergent either for gene expression or coding sequence, but not for both simultaneously, providing evidence for a decoupled evolution among regulatory and coding regions. Overall, our findings suggest that gene expression and coding sequences may evolve independently as a result of being distinctly targeted by evolutionary constraints, and that divergent selection significantly contributed to the process of molecular differentiation among ecotype pairs.
2018-10-02 | GSE120698 | GEO
Project description:Littorina saxatilis Expression study with NimbleGen 090824_L_saxatilis_expr_HX12
| PRJNA494165 | ENA
Project description:Littorina saxatilis Comparative Genomics Hybridization (CGH) study with NimbleGen 090824_L_saxatilis_expr_HX12
| PRJNA494167 | ENA