Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Strawberry Soil

ABSTRACT: Strawberry Soil Raw sequence reads

PROVIDER: PRJNA633325 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11809661.fastq.gz	Fastqsanger.gz
	SRR11809662.fastq.gz	Fastqsanger.gz
	SRR11809663.fastq.gz	Fastqsanger.gz
	SRR11809664.fastq.gz	Fastqsanger.gz
	SRR11809665.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Strawberry rhizosphere soil

Project description:Strawberry rhizosphere soil Raw sequence reads

| PRJNA723705 | ENA

Strawberry microbiome

Project description:Strawberry microbiom Raw sequence reads

| PRJNA556362 | ENA

Strawberry metagenome

Project description:Strawberry metagenome Raw sequence reads

| PRJNA592900 | ENA

soil metagenome

Project description:strawberry soil Raw sequence reads

| PRJNA371508 | ENA

sRNA from strawberry flower

Project description:Identifing the miRNA-TASL-PPR-siRNA pathway in strawberry

2014-09-01 | GSE44930 | GEO

Soil samples from strawberry field

Project description:Soil samples from strawberry field Metagenome

| PRJNA1200229 | ENA

N6-methyladenosine RNA methylomes in woodland strawberry fruit at three different development stages.

Project description:For exploring whether mRNA m6A modification participates in the regulation of strawberry fruit ripening, we performed m6A-seq in woodland strawberry fruit at three different development stages, including the S6 stage (almost 15 days post-anthsis (DPA)), the RS1 stage (21 DPA), and the RS3 stage (27 DPA), with three biological replicates. mRNA methylome analysis reveals that m6A methylation prevalently distributes in the strawberry transcriptome and highly enrichs in the coding sequence, stop codon and 3’ untranslated region.

2021-05-17 | GSE167183 | GEO

RNA-Seq Analysis to confirm Different Transcriptomic Profiles of Soil-Derived Functional Module Consortia.

Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.

2020-01-14 | GSE143587 | GEO

Identification of miRNAs in strawberry

Project description:In plants, microRNAs (miRNAs) play a critical role in post-transcriptional gene regulation and have been shown to control many genes involved in various biological and metabolic processes. Deep sequencing technologies have facilitated identification of species-specific or lowly expressed as well as conserved or highly expressed miRNAs in plants. Strawberry is one of the most economically important fruit throughout the world.Although miRNAs have been extensively studied in the past five years, limited systematic study of miRNAs has been performed on the Fragaria genus. These results show that regulatory miRNAs exist in agronomically important strawberry and may play an important role in strawberry growth, development, and response to disease.

2012-01-04 | GSE34813 | GEO

Construction of a subtracted gDNA microarray for rapid discovery of molecular markers associated with day-neutrality in strawberry (Fragaria x ananassa)

Project description:Breeding day-neutral strawberry (Fragaria x ananassa Duchesne) is pivotal to extend fruit-bearing season and increase the efficiency of production. However, genetic improvement of day-neutrality by the means of molecular marker technologies remains slow due to genome complexity of octoploid strawberry. This study employs an innovative approach by integrating the Subtracted Diversity Array (SDA) technology and Bulked Segregant Analysis (BSA) to facilitate the identification of molecular markers associated with day-neutrality in octoploid strawberry. A Fragaria Discovery Panel (FDP) containing 287 features specific to strawberry genome was constructed as a platform for rapid screening of DNA polymorphism between one short day (SD) strawberry DNA bulk and three day-neutral (DN) bulks varrying in flowering strength. Differential array hybridisation patterns between the DN and SD bulks revealed a novel molecular marker, FaP2E11, closely linked to CYTOKININ OXIDASE 1 (CKX1) gene possibly involved in promoting flowering under non-inductive condition. Interestingly, a 12 bp deletion was observed within the FaP2E11 sequence cloned from SD genotypes but not DN genotypes. As cytokinin is required to induce flowering, this result indicates that full sequence of FaP2E11 and the sequence with deletion are allelic variants linked to the low enzyme activity CKX1 and the wild type alleles, respectively.

2017-02-09 | GSE70145 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data