SedaDNA from 10 lakes in Fennoscandia
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB39329 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4332840_1.fastq.gz | Fastqsanger.gz | |||
| ERR4332840_2.fastq.gz | Fastqsanger.gz | |||
| ERR4332850_1.fastq.gz | Fastqsanger.gz | |||
| ERR4332850_2.fastq.gz | Fastqsanger.gz | |||
| ERR4332841_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 28 |
Similar Datasets
Project description:Drivers of biological change in southeastern Norway during the Holocene
| PRJEB44988 | ENA
Project description:Spatial and temporal heterogeneity in human mobility patterns in Holocene Southwest Asia
| PRJEB51705 | ENA
Project description:Biologists have long been fascinated by the amazing diversity of animal colour patterns. Despite
much interest, the underlying evolutionary and developmental mechanisms contributing to
their rich variety remain largely unknown, especially the vivid and complex colour patterns seen
in vertebrates. The model [1] shows, that complex and camouflaged animal markings can be formed
by the ‘blending’ of simple colour patterns. A mathematical model predicts that crossing
between animals having inverted spot patterns (for example, ‘light spots on a dark background’
and ‘ dark spots on a light background’ ) will necessarily result in hybrid offspring that have
camouflaged labyrinthine patterns as ‘ blended ’ intermediate phenotypes. In [1] the authors
confirmed the broad applicability of the model prediction by empirical examination of natural and
artificial hybrids of salmonid fish. The results suggest an unexplored evolutionary process by means of
‘pattern blending’, as one of the possible mechanisms underlying colour pattern diversity and
hybrid speciation. The model file is in MorpheusML format and can be opened in the free, open-source multicellular modeling software
Morpheus (https://morpheus.gitlab.io) to simulate the time course (movie) of the spatio-temporal dynamics.
It resembles figure 3a from [1], where a 2D parameter space shows the transition from black to white spots
through intermediate labyrinthine patterns.
1. Miyazawa, Okamoto and Kondo, Blending of animal colour patterns by hybridization, Nature Communications, 2010
2023-09-07 | MODEL2304280001 | BioModels
Project description:The secretome is defined as the population of proteins that are secreted into the extracellular environment. Many proteins that are secreted by eukaryotes are N-glycosylated; however, there are striking differences in the diversity and conservation of N-glycosylation patterns between taxa. For example, the secretome and N-glycosylation structures differ between land plants and chlorophyte green algae, but it is not clear when this divergence took place during plant evolution. A potentially valuable system to study this issue is provided by the charophycean green algae (CGA), the immediate ancestors of land plants. In this study, we used lectin affinity chromatography (LAC) coupled with mass spectrometry to characterize the secretome, including secreted N-glycoproteins, of Penium margaritaceum, a member of the CGA. The identified secreted proteins and N-glycans were compared to those known from the chlorophyte green alga Chlamydomonas reinhardtii and the model land plant, Arabidopsis thaliana, to establish their evolutionary context. Our approach allowed the identification of cell wall proteins and proteins modified with N-glycans that are identical to those of embryophytes, suggesting that the P. margaritaceum secretome is more closely related to those of land plants than to those of chlorophytes. The results of this study support the hypothesis that many of the proteins associated with plant cell wall modification, as well as other extracellular processes, evolved prior to the colonization of terrestrial habitats.
2018-03-26 | PXD009123 | Pride
Project description:Extreme hypobaria is a novel abiotic stress that is outside the evolutionary experience of terrestrial plants. In natural environments, the practical limit of atmospheric pressure experienced by higher plants is about 50 kPa or ~.5 atmospheres; a limit that is primarily imposed by the combined stresses inherent to high altitude conditions of terrestrial mountains. However, in highly controlled chambers and within extra-terrestrial greenhouses the atmospheric pressure component can be isolated from other high altitude stresses such as temperature, desiccation, and even hypoxia. In addition, hypobaria can be carried to extremes beyond what is possible in terrestrial biomes, and explored as a single variable in the examination of plant responses to novel stress. Previous studies have shown that plants adjust to hypobaric stress by differentially expressing suites of genes in unique combinations that are not equal to the dissected components of hypobaric stress (such as hypoxia and desiccation). Here we examine the organ-specific progression of transcriptional strategies for physiological adaptation to hypobaric stress over time. An abrupt transition from a near-sea level pressure of 97 kPa to only 5 kPa is accompanied by the differential expression of hundreds of genes. However, the transcriptomic reaction to hypobaric conditions lying between these two extremes reveals complex, organ-specific responses that vary over a time course of hypobaric exposure, and that are also not linear with respect to a simple gradient of severity. It is also clear that plants adjust over time such that the gene expression patterns that are initially elicited to cope with hypobaria are mediated as plants adjust their metabolism to this environment. The patterns of genome-wide changes in gene expression across a gradient of atmospheric pressures, and over a time course of several days allows for the development of theories of how plant metabolisms may be adapting to changes in atmospheric pressures.
2017-05-11 | GSE87904 | GEO
Project description:Extreme hypobaria is a novel abiotic stress that is outside the evolutionary experience of terrestrial plants. In natural environments, the practical limit of atmospheric pressure experienced by higher plants is about 50 kPa or ~.5 atmospheres; a limit that is primarily imposed by the combined stresses inherent to high altitude conditions of terrestrial mountains. However, in highly controlled chambers and within extra-terrestrial greenhouses the atmospheric pressure component can be isolated from other high altitude stresses such as temperature, desiccation, and even hypoxia. In addition, hypobaria can be carried to extremes beyond what is possible in terrestrial biomes, and explored as a single variable in the examination of plant responses to novel stress. Previous studies have shown that plants adjust to hypobaric stress by differentially expressing suites of genes in unique combinations that are not equal to the dissected components of hypobaric stress (such as hypoxia and desiccation). Here we examine the organ-specific progression of transcriptional strategies for physiological adaptation to hypobaric stress over time. An abrupt transition from a near-sea level pressure of 97 kPa to only 5 kPa is accompanied by the differential expression of hundreds of genes. However, the transcriptomic reaction to hypobaric conditions lying between these two extremes reveals complex, organ-specific responses that vary over a time course of hypobaric exposure, and that are also not linear with respect to a simple gradient of severity. It is also clear that plants adjust over time such that the gene expression patterns that are initially elicited to cope with hypobaria are mediated as plants adjust their metabolism to this environment. The patterns of genome-wide changes in gene expression across a gradient of atmospheric pressures, and over a time course of several days allows for the development of theories of how plant metabolisms may be adapting to changes in atmospheric pressures.
2017-05-11 | GSE87903 | GEO
Project description:Proteomics analysis of amphibious plant leaves. Leaves developed under terrestrial or submerged condition were used.
2021-06-15 | PXD024779 | JPOST Repository
Project description:Shotgun sequencing Lateglacial-early Holocene lake sediment from Sweden to assess ancient plant diversity
| PRJEB28354 | ENA