Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Acropora cervicornis

ABSTRACT: RNA-seq profiles of Immune Related Genes the Staghorn Coral Acropora cervicornis infected with White Band Disease

PROVIDER: PRJNA222758 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1015340.fastq.gz	Fastqsanger.gz
	SRR1015321.fastq.gz	Fastqsanger.gz
	SRR1015331.fastq.gz	Fastqsanger.gz
	SRR1015323.fastq.gz	Fastqsanger.gz
	SRR1015344.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

white band disease-infected Acropora cervicornis bacteria

Project description:Microbial communities of white band disease-infected Acropora cervicornis

| PRJNA391985 | ENA

Variability in metabolomic profiles among unique genotypes of Acropora cervicornis (part -III)

Project description:This project aims to identify differences in metabolomic profiles among seven known, unique genotypes of the threatened staghorn coral Acropora cervicornis.

2020-12-22 | ST001645 | MetabolomicsWorkbench

Acropora cervicornis

Project description:Genomic Variation Among Populations of Threatened Coral: Acropora cervicornis

| PRJNA273657 | ENA

Acropora cervicornis

Project description:Acropora cervicornis overview

| PRJNA273677 | ENA

Gene expression dataset for nursery-reared Staghorn coral (Acropora cervicornis) under thermal stress

Project description:Publication Abstract: As climate changes, sea surface temperature anomalies that negatively impact coral reef organisms continue to increase in frequency and intensity. Yet, despite widespread coral mortality, genetic diversity remains high even in those coral species listed as threatened. While this is good news in many ways it presents a challenge for the development of biomarkers that can identify resilient or vulnerable genotypes. Taking advantage of three coral restoration nurseries in Florida that serve as long-term common garden experiments, we exposed over thirty genetically distinct Acropora cervicornis colonies to hot and cold temperature shocks seasonally and measured pooled gene expression responses using RNAseq. Targeting a subset of twenty genes, we designed a high-throughput qPCR array to quantify expression in all individuals separately under each treatment with the goal of identifying predictive and/or diagnostic thermal stress biomarkers. We observed extensive transcriptional variation in the population, suggesting abundant raw material is available for adaptation via natural selection. However, this high variation made it difficult to correlate gene expression changes with colony performance metrics such as growth, mortality, and bleaching susceptibility. Nevertheless, we identified several promising diagnostic biomarkers for acute thermal stress that may improve coral restoration and climate change mitigation efforts in the future.

2017-12-21 | GSE108338 | GEO

Acropora cervicornis

Project description:Acropora cervicornis Raw sequence reads

| PRJNA555587 | ENA

Acropora cervicornis

Project description:Acropora cervicornis Raw sequence reads

| PRJNA344447 | ENA

Acropora cervicornis

Project description:Acropora cervicornis Genome sequencing and assembly

| PRJNA656309 | ENA

jaAcrCerv

Project description:Acropora cervicornis (staghorn coral)