College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Key Laboratory for Animal Production, Product Quality and Safety of Ministry of Education, Changchun 130118, China.
Genes (Basel). 2019 May 8;10(5):351. doi: 10.3390/genes10050351.
Geese feather production and the quality of downy feathers are additional economically important traits in the geese industry. However, little information is available about the molecular mechanisms fundamental to feather formation and the quality of feathers in geese. This study conducted de novo transcriptome sequencing analysis of two related geese species using the Illumina 4000 platform to determine the genes involved in embryonic skin feather follicle development. A total of 165,564,278 for and 144,595,262 for clean reads were generated, which were further assembled into 77,134 unigenes with an average length of 906 base pairs in and 66,041 unigenes with an average length of 922 base pairs in To recognize the potential regulatory roles of differentially expressed genes (DEGs) during geese embryonic skin feather follicle development, the obtained unigenes were annotated to Gene Ontology (GO), Eukaryotic Orthologous Groups (KOG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional analysis. In both species, GO and KOG had shown similar distribution patterns during functional annotation except for KEGG, which showed significant variation in signaling enrichment. was significantly enriched in the calcium signaling pathway, whereas was significantly enriched with glycerolipid metabolism. Further analysis indicated that 14,227 gene families were conserved between the species, among which a total of 20,715 specific gene families were identified. Comparative RNA-Seq data analysis may reveal inclusive knowledge to assist in the identification of genetic regulators at a molecular level to improve feather quality production in geese and other poultry species.
鹅的羽毛生产和羽绒质量是鹅产业中另外两个具有重要经济意义的特征。然而，关于羽毛形成和鹅羽毛质量的分子机制的信息很少。本研究使用 Illumina 4000 平台对两个相关鹅种进行了从头转录组测序分析，以确定参与胚胎皮肤羽毛毛囊发育的基因。共生成了用于 和 用于 的 165,564,278 条和 144,595,262 条清洁读数，进一步组装成 77,134 条在 中平均长度为 906 个碱基的 unigenes 和 66,041 条在 中平均长度为 922 个碱基的 unigenes。为了识别鹅胚胎皮肤羽毛毛囊发育过程中差异表达基因（DEGs）的潜在调控作用，将获得的 unigenes注释到基因本体论（GO）、真核同源群（KOG）和京都基因与基因组百科全书（KEGG）进行功能分析。在这两个物种中，GO 和 KOG 在功能注释中的分布模式相似，除了 KEGG，KEGG 在信号富集方面表现出显著差异。 显著富集于钙信号通路，而 显著富集于甘油磷脂代谢。进一步分析表明，这两个物种之间有 14,227 个基因家族保守，其中总共鉴定出 20,715 个特定基因家族。比较 RNA-Seq 数据分析可能揭示普遍的知识，有助于在分子水平上识别遗传调控因子，以提高鹅和其他家禽品种的羽毛质量生产。
