Exploring differentially expressed genes in the ovaries of uniparous and multiparous goats using the RNA-Seq (Quantification) method
| Autor: | Yunhai Zhang, Xiang Hao, Yunsheng Li, Zi-Juan Zhang, Jianping Ding, Yinghui Ling, Xiaorong Zhang, Ya Liu |
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| Rok vydání: | 2014 |
| Předmět: |
Candidate gene
Cell RNA-Seq Biology Pregnancy Gene expression Genetics medicine Animals Gene Regulatory Networks KEGG Gene Models Genetic Reverse Transcriptase Polymerase Chain Reaction Sequence Analysis RNA Gene Expression Profiling Goats Ovary General Medicine Actin cytoskeleton White (mutation) Parity Gene Ontology medicine.anatomical_structure Female Signal Transduction |
| Zdroj: | Gene. 550:148-153 |
| ISSN: | 0378-1119 |
| Popis: | Fecundity improvement is one of the most important objectives for goat breeders as it greatly increases production efficiency. To investigate the genes associated with litter sizes in the Anhui White goat (AWG), gene expression differences in the ovaries of uniparous and multiparous AWG were assessed using the RNA-Seq (Quantification) method. This analysis generated 6,027,714 and 5,884,062 clean reads in uniparous and multiparous libraries, respectively. A total of 2201 differentially expressed genes (DEGs) were thereby identified (FDR≤0.001, |log₂Ratio|≥1). There were 1583 up-regulated and 618 down-regulated genes in the multiparous samples compared with the uniparous samples. A large number of these DEGs were related to the terms cellular process, cell & cell part and binding. Twelve genes which may be associated with the high prolificacy of AWG were identified using a bioinformatic screen. In addition, pathway analysis revealed that these DEGs were significantly enriched in 11 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including ECM-receptor interactions, focal adhesion, and regulation of the actin cytoskeleton among others. This suggested a role for these pathways in the prolificacy of AWG. These results provide a list of new candidate genes for goat prolificacy. |
| Databáze: | OpenAIRE |
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