Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Phytoplankton succession patterns German Bight

PROVIDER: PRJEB33076 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3378950_1.fastq.gz	Fastqsanger.gz
	ERR3378950_2.fastq.gz	Fastqsanger.gz
	ERR3378960_1.fastq.gz	Fastqsanger.gz
	ERR3378960_2.fastq.gz	Fastqsanger.gz
	ERR3378970_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 118

Similar Datasets

Fungi_Helgoland_Spring_Bloom_2017

Project description:Analysis of planktonic fungi during spring phytoplankton bloom at Helgoland Roads (German Bight, North Sea) in 2017

| PRJEB36396 | ENA

Phytoplankton assemblage during the North Atlantic spring bloom assessed from functional gene analysis

Project description:The spring bloom in the North Atlantic develops over a few weeks in response to the physical stabilization of the nutrient replete water column and is one of the biggest biological signals on earth. The composition of the phytoplankton assemblage during the spring bloom of 2008 was evaluated, using a microarray, on the basis of functional genes that encode key enzymes in nitrogen and carbon assimilation in eukaryotic and prokaryotic phytoplankton. Oligonucleotide archetype probes representing RuBisCO, nitrate reductase and nitrate transporter genes from major phytoplankton classes detected a diverse assemblage. For RuBisCO, the archetypes with strongest signals represented known phytoplankton groups, but for the nitrate related genes, the major signals were not closely related to any known phytoplankton sequences. Most of the assemblage's components exhibited consistent temporal/spatial patterns. Yet, the strongest archetype signals often showed quite different patterns, indicating different ecological responses by the main players. The most abundant phytoplankton genera identified previously by microscopy, however, were not well represented on the microarray. The lack of sequence data for well-studied species, and the inability to identify organisms associated with functional gene sequences in the environment, still limits our understanding of phytoplankton ecology even in this relatively well-studied system.

2016-05-11 | GSE81262 | GEO

factory metagenome

Project description:Phytoplankton community succession in industrial aquaculture

| PRJNA553869 | ENA

Eukaryotic microbial community German Bight March - Oktober 2016

Project description:18s rDNA reads of eukaryotic microbial community in the German Bight

| PRJEB32095 | ENA

Project description:Franklin Lock & Dam phytoplankton and bacterial succession 2021

| PRJNA977236 | ENA

Microbial succession during a diatom bloom

Project description:Bacterial and phytoplankton succession during a freshwater bloom

| PRJEB43659 | ENA

Project description:Iron physiology and metabolism of model phytoplankton taxa in the South Atlantic Bight

| PRJNA1106502 | ENA

Linking phytoplankton community composition to seasonal changes in f ratio

Project description:Seasonal changes in nitrogen assimilation have been studied in the western English Channel by sampling at approximately weekly intervals for 12 months. Nitrate concentrations showed strong seasonal variations. Available nitrogen in the winter was dominated by nitrate but this was close to limit of detection from May to September, after the spring phytoplankton bloom. 15N uptake experiments showed that nitrate was the nitrogen source for the spring phytoplankton bloom but regenerated nitrogen supported phytoplankton productivity throughout the summer. The average annual f ratio was 0.35, which demonstrated the importance of ammonia regeneration in this dynamic temperate region. Nitrogen uptake rate measurements were related to the phytoplankton responsible by assessing the relative abundance of nitrate reductase (NR) genes and the expression of NR among eukaryotic phytoplankton. Strong signals were detected from NR sequences that are not associated with known phylotypes or cultures. NR sequences from the diatom Phaeodactylum tricornutum were highly represented in gene abundance and expression, and were significantly correlated with f ratio. The results demonstrate that analysis of functional genes provides additional information, and may be able to give better indications of which phytoplankton species are responsible for the observed seasonal changes in f ratio than microscopic phytoplankton identification.

2011-03-17 | GSE27998 | GEO

EcoMol Planktotron 16S amplicons (V4-V5)

Project description:Mesocoms study of prokaryotic community succession during phytoplankton spring bloom

| PRJEB62467 | ENA

Project description:Caloosahatchee River (Franklin Lock & Dam) phytoplankton succession in spring 2019

| PRJNA917192 | ENA