Ontology highlight
ABSTRACT:
PROVIDER: PRJNA753954 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15429987.fastq.gz | Fastqsanger.gz | |||
| SRR15429988.fastq.gz | Fastqsanger.gz | |||
| SRR15429989.fastq.gz | Fastqsanger.gz | |||
| SRR15429990.fastq.gz | Fastqsanger.gz |
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Project description:MicroRNAs and siRNAs are important regulators of plant development and seed formation, yet their population and abundance in the oil crop Brassica napus are still less understood, especially at different developmental stages and among cultivars with varied seed oil contents. Here, we systematically analyzed the small RNA expression profiles of Brassica napus seeds at early embryonic developmental stages in a high oil content and a low oil content Brassica napus cultivars, both cultured in two environments. A total of 50 conserved miRNAs and 11 new miRNAs were identified, together with some new miRNA targets. Expression analysis revealed some miRNAs with varied expression levels in different seed oil content cultivars or at different embryonic developmental stages. A large amount of 23-nt small RNAs with specific nucleotide composition preference were also identified, which may present new classes of functional small RNAs. Examination of small RNA profiles in 2 different seed oil content rapeseed culvitars at 2 locations.
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Project description:Purpose: Analysis of the effect of different fats and amonut of cDDGS in the feedstuff on miRNA expression in porcine backfat Methods: miRNA-seq analysis was performed on backfat samples collected from 24 male and female crossbred fatteners originating from sows (Polish Landrace × White Large Polish) mated with a boar (Duroc × Pietrain) divided into four dietary groups: 7-cDDGS+rapeseed oil (group I), n=6 (+cDDGS+rapeseed oil -group II), n= 6 (+cDDGS+beeftallow -group III),n=5 (+cDDGS+coconut oil -group IV). The miRNA libraries were constructed from total RNA using NEBNext Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs) according to the manufacturer protocol. The quantification of the obtained libraries was performed on a Qubit 2.0 spectrophotometer (Invitrogen, Life Technologies), while a quality control on a TapeStation 2200 instrument (D1000 ScreenTape; Agilent). 100 single-end cycle sequencing was performed on the HiScanSQ platform (Illumina) with the use of TruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). MicroRNA differentially expressed between dietary groups were identified with the DESeq2 software. Results: The comparison of miRNA profiles between dietary groups showed The highest number of miRNAs with altered expression was identified in the comparison of animals fed the diet containing cDDGS and coconut oil (group IV) with animals from the –cDDGS + rapeseed oil (group I) (37 miRNA, p adjusted <0.01). Moreover, in comparison between the group IV and groups III and II , 29 (12 upregulated and 17 downregulated in +cDDGS+coconut oil group) and 28 (10 upregulated and 18 downregulated in +cDDGS+coconut oil group) miRNAs were identified, respectively (p adjusted <0.1) Conclusions: Obtained results suggest that coconut oil induces changes in miRNA profile of backfat in pigs.
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