Transcriptome analyses of shell color and egg production traits between the uteruses of blue-green eggshell chickens and Hy-Line brown layers

IF 3.8 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Huanhuan Wang , Lei Zhang , Yinghui Wei , Hang Liu , Yanlu Wang , Ying Ge , Yuchun Pan
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引用次数: 0

Abstract

Blue-green eggs exhibit unique shell color; however, compared to commercial layers, blue-green eggshell chickens have lower egg production and lack uniform shell colors. Aiming to confirm the molecular mechanisms that affect shell color and egg production, this study collected the uteruses of 12 blue-green eggshell chickens (BG group) and six Hy-Line layers (Brown group), which had significantly different shell color indexes (SCI) and egg numbers at 300 days of age (EN300). Transcriptome sequencing and comparative analyses were subsequently performed. BG hens were divided into two groups for comparative analysis (BGblue vs. BGgreen and BGlow vs. BGhigh, respectively), based on the differences in SCI and EN300, respectively. The result of weighted gene co-expression network (WGCNA) analysis showed that the sequenced and mapped 16,785 genes were clustered into 18 modules, among which six modules with a total of 4270 genes were highly correlated with SCI and EN300 traits. Five hundred and eleven differentially expressed genes (DEGs) belonged to the six key modules. Through KEGG mapping, GO enrichment, and Cytoscape network analysis, nine Hub genes were tightly associated with SCI and EN300. The up-regulated genes were CCR2, CCR8, CD40LG, IL18RAP, INHBA, and P2RY13, while the down-regulated genes were ABCA13, ADCY2, and GRM1. Co-analyses with the results of comparisons between the BG subgroups revealed that the expression of solute carrier (SLC) proteins and ABC transporters were highly related to eggshell color, while cytokine-cytokine receptor interactions and neuroactive ligand-receptor interactions were key pathways affecting egg production. The expression of extracellular cytokines and membrane receptors were significantly up-regulated in low-yield chickens. The candidate DEGs and pathways found in the study will assist in clarifying the molecular mechanisms affecting shell color and egg production, and improve the breeding of blue-green eggshell chickens.
蓝绿蛋壳鸡与Hy-Line褐壳蛋鸡子宫间蛋壳颜色和产蛋性状的转录组分析。
蓝绿蛋鸡的蛋壳颜色独特,但与商品蛋鸡相比,蓝绿蛋鸡的产蛋量较低,蛋壳颜色不均匀。为了证实影响蛋壳颜色和产蛋量的分子机制,本研究采集了12只蓝绿蛋壳鸡(BG组)和6只Hy-Line蛋鸡(Brown组)的子宫,这两组鸡的蛋壳颜色指数(SCI)和300日龄的产蛋量(EN300)有显著差异。随后进行了转录组测序和比较分析。根据 SCI 和 EN300 的差异,将 BG 母鸡分为两组进行比较分析(分别为 BGblue vs. BGgreen 和 BGlow vs. BGhigh)。加权基因共表达网络(WGCNA)分析结果表明,测序并绘制的16785个基因被聚类为18个模块,其中6个模块共4270个基因与SCI和EN300性状高度相关。有 511 个差异表达基因(DEG)属于这六个关键模块。通过KEGG图谱、GO富集和Cytoscape网络分析,9个Hub基因与SCI和EN300密切相关。上调基因为CCR2、CCR8、CD40LG、IL18RAP、INHBA和P2RY13,下调基因为ABCA13、ADCY2和GRM1。与 BG 亚组间比较结果的共同分析表明,溶质载体(SLC)蛋白和 ABC 转运体的表达与蛋壳颜色高度相关,而细胞因子-细胞因子受体相互作用和神经活性配体-受体相互作用是影响产蛋量的关键途径。低产鸡细胞外细胞因子和膜受体的表达明显上调。该研究发现的候选DEGs和通路将有助于阐明影响蛋壳颜色和产蛋量的分子机制,提高蓝绿蛋壳鸡的育种水平。
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来源期刊
Poultry Science
Poultry Science 农林科学-奶制品与动物科学
CiteScore
7.60
自引率
15.90%
发文量
0
审稿时长
94 days
期刊介绍: First self-published in 1921, Poultry Science is an internationally renowned monthly journal, known as the authoritative source for a broad range of poultry information and high-caliber research. The journal plays a pivotal role in the dissemination of preeminent poultry-related knowledge across all disciplines. As of January 2020, Poultry Science will become an Open Access journal with no subscription charges, meaning authors who publish here can make their research immediately, permanently, and freely accessible worldwide while retaining copyright to their work. Papers submitted for publication after October 1, 2019 will be published as Open Access papers. An international journal, Poultry Science publishes original papers, research notes, symposium papers, and reviews of basic science as applied to poultry. This authoritative source of poultry information is consistently ranked by ISI Impact Factor as one of the top 10 agriculture, dairy and animal science journals to deliver high-caliber research. Currently it is the highest-ranked (by Impact Factor and Eigenfactor) journal dedicated to publishing poultry research. Subject areas include breeding, genetics, education, production, management, environment, health, behavior, welfare, immunology, molecular biology, metabolism, nutrition, physiology, reproduction, processing, and products.
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