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Transcriptome-wide m6A methylation of Wuhua yellow-feathered chicken ovary revealed potential molecular mechanisms underlying the low egg performance

ABSTRACT: Transcriptome-wide m6A methylation of Wuhua yellow-feathered chicken ovary revealed potential molecular mechanisms underlying the low egg performance

PROVIDER: PRJNA1000480 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR25473506_1.fastq.gz	Fastqsanger.gz
	SRR25473506_2.fastq.gz	Fastqsanger.gz
	SRR25473507_1.fastq.gz	Fastqsanger.gz
	SRR25473507_2.fastq.gz	Fastqsanger.gz
	SRR25473508_1.fastq.gz	Fastqsanger.gz

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Transcriptome-wide m6A methylation of Wuhua yellow-feathered chicken ovary revealed potential molecular mechanisms underlying the low egg performance

Project description:RNA N6-melthyladenosine has been suggested to play important roles in various biological processes. Chicken ovary development is a process controlled by complex gene regulations. In this study, transcriptome-wide m6A methylation of the Wuhua yellow-feathered chicken ovaries before and after sexual maturation was profiled to identify potential molecular mechanisms underlying chicken ovary development. The results showed that m6A levels of mRNAs changed dramatically during sexual maturity. A total of 1476 differential m6A peaks were found between these two stages with 662 significantly up-regulated methylation peaks and 814 down-regulated methylation peaks after sexual maturation. A positive correlation was found between the m6A peaks and gene expression levels. Functional enrichment analysis indicated that apoptosis related pathways might be the key molecular regulatory pathway underlying the poor reproductive performance of Wuhua yellow-feathered chicken. The fine expressional regulation of genes related to follicles development and follicle atresia controlled by m6A during the maturity results in the poor reproductive performance in the Wuhua yellow-feathered chicken. However, the regulatory mechanisms are still unclear, thus more further studies are required. The pathways and corresponding candidate genes found here may be useful for molecular design breeding for improving egg production performance in Chinese local chicken breed, and it will also benefit for the genetic resource protection of valuable avian species.

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Ovary transcriptome profiling via application of artificial intelligence predicts egg quality in striped bass

Project description:We modeled profiles of ovary gene expression and their relationship to egg quality, evaluated as production of viable mid-blastula stage embryos, in striped bass (Morone saxatilis) using artificial neural networks and supervised machine learning. Collective changes in expression of a limited suite of genes (233) representing only 2% of the queried ovary transcriptome explained >90% of the eventual variance in embryo survival. Egg quality related to minor changes in expression (M-bM-^IM-$0.2-fold), with most gene transcripts making minor contribution (<1%) to the overall prediction of egg quality. Correlation analyses of this suite of candidate genes indicated that collective dysfunction of the ubiquitin-26S proteasome, COP9 signalosome, and subsequent control of the cell cycle engenders embryonic developmental incompetence in striped bass. Our results show that the transcriptomic signature evidencing this dysfunction is of, and therefore likely to influence, egg quality, a biologically complex trait that is crucial to reproductive fitness. Female striped bass were sorted into groups (N=8 each) producing M-bM-^@M-^Xhigh qualityM-bM-^@M-^Y or M-bM-^@M-^Xlow qualityM-bM-^@M-^Y eggs (spawns) based upon the percentage of eggs bearing viable 4 h embryos. Spawns with >50% of eggs producing 4 h embryos were considered to be of high quality and spawns with <30% of eggs producing 4 h embryos were considered to be of low quality.

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Differential circular RNAs expression in ovary during oviposition in honey bees

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