From 1 - 10 / 10
  • We used mRNA-seq to identify the RNA profiles in three tissue types (fat body, head and ovary) in two time points (after 10% cohort death (RNA-1) and 60% cohort death (RNA-2)) for two treatments (medium-quality larval diet (M) and high-quality larval diet (H)), with three biological replicates per tissue/time point/treatment combination. This data is NERC-funded but not held by the EIDC. This data is archived in the National Centre for Biotechnology Information, Gene Expression Omnibus (NCBI GEO).

  • This dataseries investigates the thermal proteome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal proteome of Phaeodactylum tricornutum in response to gradual and chronic heat stress. 2. Thermal proteome of Synechococcus sp. in response to gradual and chronic heat stress, and 3. Thermal proteome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time in comparison to optimal conditions. To understand how the thermal proteome response to chronic thermal stress, we acclimated cultures in steady state growth under optimal conditions and compared the protein expression to that under non-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the PRIDE (Proteomics identification database).

  • This dataseries investigates the thermal transcriptome of phytoplankton in response to acute and chronic temperature stress. It is comprised of three subseries: 1. Thermal transcriptome of Phaeodactylum tricornutum in response to gradual heat stress. 2. Thermal transcriptome of Phaeodactylum tricornutum in steady-state growth, and 3. Thermal transcriptome of Synechocystis in response to gradual heat stress. To investigate the molecular underpinnings of gradual heat stress, we expose cultures to high temperature and follow changes in gene expression through time (over a 12 hour period) in comparison to optimal conditions. To understand how the thermal transcriptome response to chronic thermal stress, we acclimated P. tricornutum in steady state growth under optimal conditions and compare the gene expression to that under sub-optimal and supra-optimal conditions. This data is NERC-funded but not held by the EIDC. This data is archived in the Gene Expression Omnibus (GEO) National Center Biotechnology Information (NCBI).

  • This dataset contains whole genome sequence data for Wallacean endemic ungulates (anoa and babirusa) spanning from the 1800 to the present day. This time frame covers the period of accelerated forest loss across the Wallacean islands, to track changes in genetic health of these two flagship taxa. Deforestation is expected to disproportionately impact forest specialists such as the anoa and babirusa, making it crucial we understand how genetic health is impacted in declining populations. This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive.

  • This dataset contains RNA sequencing of 12 Silene uniflora individuals grown under two experimental conditions in deep water culture (control and zinc contaminated). Cuttings from 3 individuals from 4 sites (Priddy pools, Grogwynion, Brean Down and South Aberystwyth) were propagated and grown under experimental conditions for each treatment (see https://doi.org/10.1101/2021.11.30.470425). Root tissue was frozen at -80C, total RNA extracted and sequenced using DNBseq technology. The data are composed of 100bp paired-end DNA sequences for each individual. The work was supported by the Natural Environment Research Council NE/R001081/1. This record describes NERC-funded data managed by NCBI Sequence Read Archive (SRA), Accession Number: PRJNA706929 .

  • The data consists of raw RNA sequencing reads (75bp single end) collected in the field from clones planted at four altitudes. In each case, 3 young leaves were collected for each sample and pooled during RNA extraction. 'This record describes NERC-funded data managed by National Center for Biotechnology Information'

  • This dataset contains whole genome resequencing of 66 Silene uniflora individuals from 6 populations (11 individuals per population). Leaf tissue was sampled from 3 pairs of sites and preserved using silica gel: Wales (southern Aberystwyth and Grogwynion), Ireland (Cromane peninsula and Ross island) and England (Brean down and Priddy pools). The data are composed of 150bp paired-end DNA sequences for each individual generated by illumina sequencing by synthesis from total genomic DNA extracted from leaf tissue. The work was supported by the Natural Environment Research Council NE/R001081/1. This record describes NERC-funded data managed by NCBI Sequence Read Archive (SRA), Accession Number: PRJNA764587.

  • This dataset contains reduced representation sequencing of 549 F2 Silene uniflora individuals from three experimental cross families. The parents for each family were grown from seed and crossed by hand to produce F1 hybrids. From each cross a single individual was then selfed to produce the F2 offspring suitable for linkage mapping which were grown into adult plants. The source locations for the parents for the three crosses were as follows: Priddy pools X Brean down (England); Grogwynion X South Aberystwyth (Wales); Ross Island (Ireland) X South Aberystwyth. Whole genomic DNA was extracted from leaf tissue of the F2 plants. The data are composed of 75bp single-end DNA sequences for each individual generated by the reduced representation SEQSNP library preparation method by LGC. The work was supported by the Natural Environment Research Council NE/R001081/1. This record describes NERC-funded data managed by NCBI Sequence Read Archive (SRA), Accession Number: PRJNA764594.

  • This dataset contains reduced representation sequencing of 425 Silene uniflora individuals sampled from three field transects conducted in Cornwall at the Botallack, Geevor and Levant mines. Leaf tissue from sampled individuals was preserved using silica gel and whole genomic DNA extracted from the preserved leaf tissue. The data are composed of 75bp single-end DNA sequences for each individual generated by the reduced representation SEQSNP library preparation method by LGC. The work was supported by the Natural Environment Research Council NE/R001081/1. This record describes NERC-funded data managed by NCBI Sequence Read Archive (SRA), Accession Number: PRJNA764595 .

  • We used mRNA-seq to identify the RNA profiles in three tissue types (brain, fat body and ovary) in two time points (after 10% cohort death (TP1) and 60% cohort death (TP2)) for two treatments (egg removal (R) and egg removal and replacement (C)), with up to six biological replicates per tissue/time point/treatment combination. Each sample was sequenced on two lanes (L1 and L2) of the sequencing machine in order to generate sufficient numbers of reads while controlling for between lane variability. This data is NERC-funded but not held by the EIDC. This data is archived in the National Centre for Biotechnology Information, Gene Expression Omnibus (NCBI GEO). Accession Number: GSE172422