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Differential gene expression profiling of the goose pineal gland.
British Poultry Science ( IF 2 ) Pub Date : 2020-02-24 , DOI: 10.1080/00071668.2019.1698014
X Yuan 1, 2 , G Lan 1 , L Li 1 , H He 1 , J Wang 1 , S Hu 1
Affiliation  

1. The present study was conducted to obtain a better understanding of the molecular mechanisms underlying broodiness in a commercial breed, Tianfu geese, as little is known about the role of the pineal gland in this period. The aim was to identify genes which are differentially expressed in the pineal gland between the laying and broodiness periods by performing a transcriptome screen.

2. After sequencing cDNA derived from the pineal gland and annotation of the results, a sequencing depth of 14.82 and 18.17 million mapped tags was obtained during the laying and broodiness periods, respectively, and a total of 120 differentially expressed genes were identified. Of these, 32 genes showing up-regulated expression and 88 genes showing down-regulated expression were identified in broodiness period vs. laying period libraries.

3. Gene ontology (GO) analyses showed that these genes were related to the visual process, phototransduction, and lipoprotein metabolism. Kyoto Encyclopaedia of Genes and Genome (KEGG) analyses showed that phototransduction and tryptophan metabolism pathways exhibited the largest enrichment factors. The reliability of the RNA sequence data was confirmed by quantitative real-time PCR analysis of five genes, and the results were mostly consistent with those from the high-throughput RNA sequencing.

4. The goose transcriptome and the identification of differentially expressed genes provided comprehensive gene expression information that enables a better understanding of the molecular mechanisms underlying the broodiness period of geese.



中文翻译:

鹅松果体的差异基因表达谱。

1.进行本研究的目的是为了更好地了解商业品种天府大雁的隐巢性分子机制,因为人们对松果体在这一时期的作用知之甚少。目的是通过进行转录组筛选来鉴定在产蛋期和产卵期之间在松果腺中差异表达的基因。

2.对来自松果体的cDNA进行测序并注释结果后,在产蛋期和育雏期分别获得了14.82和1817万个定位标签的测序深度,共鉴定了120个差异表达基因。其中,在嗜好期vs.期间鉴定出表达上调的32个基因和表达下调的88个基因。铺设期库。

3.基因本体论(GO)分析表明,这些基因与视觉过程,光转导和脂蛋白代谢有关。京都基因与基因组百科全书(KEGG)分析表明,光转导和色氨酸代谢途径表现出最大的富集因子。RNA序列数据的可靠性通过五个基因的定量实时PCR分析得到证实,其结果与高通量RNA测序的结果基本一致。

4.鹅转录组和差异表达基因的鉴定提供了全面的基因表达信息,使人们能够更好地了解鹅的巢度期的分子机制。

更新日期:2020-04-18
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