ESPELETIA
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB40364 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4604220_1.fastq.gz | Fastqsanger.gz | |||
| ERR4604220_2.fastq.gz | Fastqsanger.gz | |||
| ERR4604230_1.fastq.gz | Fastqsanger.gz | |||
| ERR4604230_2.fastq.gz | Fastqsanger.gz | |||
| ERR4604240_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 166 |
Similar Datasets
Project description:Ecological speciation is a common mechanism by which new species arise. Despite great efforts, the role of gene expression in ecological divergence and speciation is poorly understood. Here, we conducted a genome-wide gene expression investigation of two Oryza species that are evolutionarily young and distinct in ecology and morphology. Using digital gene expression (DGE) technology and the paired-end RNA sequencing (RNA-Seq) method, we obtained 21,415 expressed genes across three reproduction-related tissues at two critical developmental stages. Of them, ~8% (1717) differed significantly in expression levels between the two species and these differentially expressed genes are randomly distributed across the genome. Moreover, 62% (1064) of the differentially expressed genes exhibited a signature of directional selection in at least one species. Importantly, the genes with differential expression between species evolved more rapidly at the 5’flanking sequences than the genes without differential expression relative to coding sequences, suggesting that cis-regulatory changes are likely adaptive and play an important role in the ecological divergence of the two species. Finally, we showed evidence of significant differentiation between species in phenotype traits and observed that genes with differential expression were overrepresented with functional terms involving phenotypic and ecological differentiation between the two species, including reproduction- and stress-related characteristics. Our findings demonstrate that ecological speciation is associated with widespread and adaptive alterations in genome-wide gene expression and highlight the dominant role of regulatory evolution in ecological divergence and adaptation.
2016-07-17 | GSE71044 | GEO
Project description:Ecological speciation is a common mechanism by which new species arise. Despite great efforts, the role of gene expression in ecological divergence and speciation is poorly understood. Here, we conducted a genome-wide gene expression investigation of two Oryza species that are evolutionarily young and distinct in ecology and morphology. Using digital gene expression (DGE) technology and the paired-end RNA sequencing (RNA-Seq) method, we obtained 21,415 expressed genes across three reproduction-related tissues at two critical developmental stages. Of them, ~8% (1717) differed significantly in expression levels between the two species and these differentially expressed genes are randomly distributed across the genome. Moreover, 62% (1064) of the differentially expressed genes exhibited a signature of directional selection in at least one species. Importantly, the genes with differential expression between species evolved more rapidly at the 5â??flanking sequences than the genes without differential expression relative to coding sequences, suggesting that cis-regulatory changes are likely adaptive and play an important role in the ecological divergence of the two species. Finally, we showed evidence of significant differentiation between species in phenotype traits and observed that genes with differential expression were overrepresented with functional terms involving phenotypic and ecological differentiation between the two species, including reproduction- and stress-related characteristics. Our findings demonstrate that ecological speciation is associated with widespread and adaptive alterations in genome-wide gene expression and highlight the dominant role of regulatory evolution in ecological divergence and adaptation. We selected accessions representing typical Oryza rufipogon and O. nivara, which were sampled exclusively from South and Southeast Asia where the two species overlap. We chose to collect three types of tissues, i.e., flag leaves at the heading stage (2â??7 cm above the primary branch) (L), panicles at the heading stage (H) and panicles at the flowering stage (10â??15 cm above the primary branch) (F). Sample collection was repeated twice in two consecutive years (2009 and 2010) under the same controlled conditions. A total of 36 samples were sequenced by Illuminaâ??s digital gene expression (DGE) system, with each type of tissues collected from six individuals of each species as biological replicates. To access the quality of DGE technology, we also selected six samples representing three tissues from each of two individuals (one individual per species) for paired-end RNA-Seq sequencing.
2016-07-17 | E-GEOD-71044 | biostudies-arrayexpress
Project description:Gigantopithecus blacki was a giant hominid that inhabited Southeast Asia during the Pleistocene. Its evolutionary relationship to other great ape species, and their divergence during the Middle and Late Miocene (16-5.3 Mya), remains disputed. In part, this is due to the absence of cranial and postcranial remains and size-induced allometry. Proposed hypothesis on the phylogenetic positions of Gigantopithecus have therefore been wide-ranging among hominoids, but none has received independent validation based on molecular evidence. To clarify the phylogenetic placement of Gigantopithecus blacki, we retrieved enamel proteome sequences from a 1.9 million years (Mya) old molar found in Chuifeng Cave, China. We demonstrate that Gigantopithecus is most closely related to orangutans (genus Pongo). We also estimate the Gigantopithecus-Pongo divergence to about 10-12 Mya, implying its speciation is part of the Miocene radiation of great apes. These sequences are approximately 6 times older, in a normalized thermal context, than any previously published mammalian proteome or genome. The survival of an Early Pleistocene dental enamel proteome in the subtropics further expands the scope of palaeoproteomic analysis into geographic areas and time periods previously considered incompatible with biomolecular preservation.
2019-11-12 | PXD013838 | Pride
Project description:Ecological disturbance reduces genomic diversity across an Alpine whitefish adaptive radiation
| PRJEB57733 | ENA
Project description:Despite the progress achieved in elucidating the ecological mechanisms of adaptive radiation, there has been little focus on documenting the extent of adaptive differentiation in physiological functions during this process. Moreover, a thorough understanding of the genomic basis underlying phenotypic adaptive divergence is still in its infancy. One important evolutionary process for which causal genetic mechanisms are largely unknown pertains to life-history trade-offs. We analysed patterns of gene transcription in liver tissue of sympatric dwarf and normal whitefish from two natural lakes, as well as from populations reared in controlled environments, using a 16 006-gene cDNA microarray in order to: (i) document the extent of physiological adaptive divergence between sympatric dwarf and normal species pairs, and (ii) explore the molecular mechanisms of differential life history trade-offs between growth and survival potentially involved in their adaptive divergence. In the two natural lakes, 6.45% of significantly transcribed genes showed regulation either in parallel fashion (2.39%) or in different directions (4.06%). Among genes showing parallelism in regulation patterns, we observed a higher proportion of over-expressed genes in dwarf relative to normal whitefish (70.6%). Patterns observed in controlled conditions were also generally congruent with those observed in natural populations. Dwarf whitefish consistently showed significant over-expression of genes potentially associated with survival through enhanced activity (energy metabolism, iron homeostasis, lipid metabolism, detoxification), whereas more genes associated with growth (protein synthesis, cell cycle, cell growth) were generally down-regulated in dwarf relative to normal whitefish. Overall, parallelism in patterns of gene transcription, as well as patterns of interindividual variation across controlled and natural environments, provide strong indirect evidence for the role of selection in the evolution of differential regulation of genes involving a vast array of potentially adaptive physiological processes between dwarf and normal whitefish. Our results also provide a first mechanistic, genomic basis for the observed trade-off in life-history traits distinguishing dwarf and normal whitefish species pairs, wherein enhanced survival via more active swimming, necessary for increased foraging and predator avoidance, engages energetic costs that translate into slower growth rate and reduced fecundity in dwarf relative to normal whitefish.
2010-03-31 | GSE21130 | GEO
Project description:This dataset was gene expression from natural sockeye salmon populations used to test the preservation of coexpression networks that were found in lake whitefish. Here is the abstract of the manuscript:BackgroundM-BM- : A functional understanding of processes involved in adaptive divergence is one of the awaiting opportunities afforded by high throughput transcriptomic technologies. Functional analysis of co-expressed genes has succeeded in the biomedical field in identifying key drivers of disease pathways. However, in ecology and evolutionary biology, functional interpretation of transcriptomic data is still limited. ResultsM-BM- : Here we used Weighted Gene Co-Expression Network Analysis (WGCNA) to identify modules of co-expressed genes in muscle and brain tissue of a lake whitefish backcross progeny. Modules were connected to gradients of known adaptive traits involved in the ecological speciation process between benthic and limnetic ecotypes. Key drivers, i.e. hub genes of functional modules related to reproduction, growth, and behavior were identified, and module preservation was assessed in natural populations. Using this approach, we identified modules of co-expressed genes involved in phenotypic divergence and their key drivers, and further characterized the underlying regulatory structure governing these complex traits. ConclusionsM-BM- : Functional analysis of transcriptomic data can significantly contribute to the understanding of the mechanisms underlying ecological speciation. Our findings point to BMP and Calcium signaling as common pathways involved in coordinated evolution of trophic behavior, trophic morphology (gill rakers), and reproduction. Results also point to housekeeping pathways implicating hemoglobins and constitutive stress response (HSP70) governing growth in lake whitefish. Here are 49 female sockeye salmon transcriptomes as measured by the 16k cGRASP microarray.
2013-02-01 | E-GEOD-42985 | biostudies-arrayexpress