Dataset Information

Transcriptomic analysis reveals the mechanism of watercore occurrence and its accelerating fruit decay

ABSTRACT: purpose：The purpose of this study was to compare the transcriptome data of the diseased and the non diseased pear to verify the changes of different physiological indexes of the diseased pear Methods：By sequencing the transcriptome of the treatment group and the control group, the differences of genes related to glycoalcohol metabolism and cell wall physiological pathway metabolism between the two groups were compared. Verification by fluorescence quantitative PCR

ORGANISM(S): Pyrus pyrifolia

PROVIDER: GSE164987 | GEO | 2021/05/19

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Although pear is an important edible fruit species, the current available genomic information is limited. Combining the Solexa/ Illumina RNA-seq high-throughput sequencing approach with Digital Gene Expression (DGE) analysis results in a powerful transcriptomic study. This publication reports the transcriptome profiling analysis of Pyrus bretschneideri Rehd. using RNA-seq and DGE in order to better understand the molecular mechanisms underlying biological aspects of pear, especially fruit development and maturation.Using high-throughput Illumina RNA-seq combined with a tag-based Digital Gene Expression (DGE) system, de novo transcriptome assembly and gene expression analysis of P. bretschneideri were performed at an unprecedented depth (5.47 gigabase pairs). Approximately 60.77 million reads were obtained, trimmed, and assembled into 90,227 unigenes. The unigenes comprised 17,619 contig clusters and 72,608 singletons and were an average length of 508 bp and had an N50 of 635 bp. Sequence similarity analyses against six public databases (Uniprot, NR and COGs at NCBI, Pfam, InterPro and KEGG) found 61,636 unigenes that could be annotated with gene descriptions, conserved protein domains, or gene ontology terms. 34.6% of the unigenes (31,215) were annotated against KEGG into 121 known metabolic or signaling pathways. DGE libraries of five different developmental fruit stages were constructed and analyzed, and the gene expression variations between two consecutive stages were compared. Thousands of genes showed significantly different expression levels based on the various comparisons. Extensive transcriptome and DGE profiling data have been obtained from the deep sequencing of the Chinese white pear, which can serve as an important public information platform for gene expression, genomic, and functional genomic studies in P. bretschneideri and which provides comprehensive gene expression information at the transcriptional level that could facilitate understanding of the molecular mechanisms in fruit development and maturation.

Dataset Information

Transcriptomic analysis reveals the mechanism of watercore occurrence and its accelerating fruit decay

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets