Ontology highlight
ABSTRACT:
PROVIDER: PRJNA628156 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11611167_1.fastq.gz | Fastqsanger.gz | |||
| SRR11611167_2.fastq.gz | Fastqsanger.gz | |||
| SRR11611168_1.fastq.gz | Fastqsanger.gz | |||
| SRR11611168_2.fastq.gz | Fastqsanger.gz | |||
| SRR11611169_1.fastq.gz | Fastqsanger.gz |
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Project description:The Chinese surf clam (Mactra chinensis) is an economically important clam, distributed in Liaoning and Shandong province. In recently years，because of coastal environmental deterioration and overfishing, the natural population of M. chinensis have considerably declined . In this paper, we study the microRNA transcriptome of gills, including control and experimental group was sequenced through Illumina Hi-seq 2500 CE. And the differential expression was used to find the functional microRNA response to the Cd2+ exposure. Through Illumina Hi-seq 2500, a total of 14,415,256 clean reads and 15,570,111 clean reads were yielded in the gill of control and experimental group respectively. A total of 14,584,077 sRNA, in which there are 12,505,055 sRNA shared by S01 & S02, including 187,859 unique sRNA. The distribution of the sRNA length in the two library was similar, most of them were 26-27 nt. 27 nt was the most abundant length in S01, followded by 28 nt, 26 nt, and 23 nt; 26 nt was the most abundant length in S02, and followed by 27 nt, 28 nt and 23 nt. 50 miRNA was found in unique sRNA, including 38 conserved and 12 novel genes. The most abundant length of microRNA in the two library was the same, 23 nt. Through the analyze of differential expression analysis, the expression of 5 miRNA was induced with significantly difference, and 17 miRNA was down regulated and 28 miRNA was up regulated without significantly difference. So the miRNA in gill of M. chinensis might involve the environmental stress. 542 target genes were yielded when the 50 miRNA were hit to mRNA genome. And the target genes of differential expression miRNA were annotated by hitting to the NCBI database, and 4 genes hit to the COG, 1 genes hit to the GO, 5 genes hit to the KEGG and 11 genes hit to the nr database. The genes hit to the NCBI database include E3 ubiquitin-protein ligase, Wnt signaling pathway and Regulator of G-protein signaling 22.
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Project description:Purpose: Cucumber (Cucumis sativus L.) is an economically important vegetable crop worldwide, and cucumber fruit spine density has an important impact on the commercial value. However, little is known about the regulatory mechanism for the fruit spine formation.In this study, the transcriptome analyses of ovaries and pericarps from numerous-spine parent and few-spine parent were conducted to identify the gene regulatory networks involved in the formation and development of numerous fruit spines in cucumber. Methods: Cucumber mRNA profiles of ovaries and pericarps from numerous-spine parent and few-spine parent were generated by deep sequencing, in triplicate, using Illumina HiSeq 4000. Then, clean data (clean reads) were obtained by removing reads containing adapters, reads containing poly-N sequences and low-quality reads from the raw data. Simultaneously, the Q20, Q30 and GC contents of the clean data were calculated. All of the downstream analyses were based on the high-quality clean data. Clean paired-end reads were mapped to the reference genome using TopHat v2.0.12 (Trapnell et al. 2012). Then, the FPKM (fragments per kilobase of transcript sequence per million base pairs sequenced) value of each gene was calculated to estimate gene expression levels (Trapnell et al. 2010). Genes with an adjusted P-value < 0.05 identified by DESeq were assigned as differentially expressed genes(DEGs). Results: We generated 42.96-57.53 million raw reads from each library, and 39.85-54.02 million clean reads were obtained after the removal of low-quality reads and adapter sequences. Among the clean reads, 79.03-80.94% were mapped to the gene database . Based on the KEGG database, pathway enrichment analysis was performed to identify significantly enriched metabolic pathways or signal transduction pathways in DEGs. Plant hormone signal transduction was significantly enriched in up-regulated genes in both F_6DBF compared with M_6DBF and F_0DAA compared with M_0DAA. Conclusions: Based on the transcriptome analysis, we excavated possible biological regulatory networks involved in the formation and development of numerous fruit spines in cucumber. This work will promote the exploration of molecular mechanisms that regulate cucumber fruit spine density.
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