Pos graduate program in Animal Science, Universidade Estadual de Santa Cruz-UESC, Ilhéus, BA, Brazil.
Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
PLoS One. 2020 Feb 6;15(2):e0228314. doi: 10.1371/journal.pone.0228314. eCollection 2020.
Real-time polymerase chain reaction (RT-qPCR) is an important tool for analyzing gene expression. However, before analyzing the expression of target genes, it is crucial to normalize the reference genes, in order to find the most stable gene to be used as an endogenous control. A gene that remains stable in all samples under different treatments is considered a suitable normalizer. In this sense, we aimed to identify stable reference genes for normalization of target genes in the heart and liver tissues from two genetically divergent groups of chickens (Cobb 500® commercial line and Peloco backyard chickens) under comfort and acute heat stress environmental conditions. Eight reference genes (ACTB, HPRT1, RPL5, EEF1, MRPS27, MRPS30, TFRC and LDHA) were analyzed for expression stability. The samples were obtained from 24 chickens, 12 from the backyard Peloco and 12 from the Cobb 500® line, exposed to two environmental conditions (comfort and heat stress). Comfort temperature was 23°C and heat stress temperature was 39.5°C for one hour. Subsequently, the animals were euthanized, and heart and liver tissue fragments were collected for RNA extraction and amplification. To determine the stability rate of gene expression, three different statistical algorithms were applied: BestKeeper, geNorm and NormFinder, and to obtain an aggregated stability list, the RankAgregg package of R software was used.
The most stable genes using BestKeeper tool, including the two factors (genetic group and environmental condition), were LDHA, RPL5 and MRPS27 for heart tissue, and TFRC, RPL5 and EEF1 for liver tissue. Applying geNorm algorithm, the best reference genes were RPL5, EEF1 and MRPS30 for heart tissue and LDHA, EEF1 and RPL5 for liver. Using the NormFinder algorithm, the best normalizer genes were EEF1, RPL5 and LDHA in heart, and EEF1, RPL5 and ACTB in liver tissue. In the overall ranking obtained by RankAggreg package, considering the three algorithms, the RPL5, EEF1 and LDHA genes were the most stable for heart tissue, whereas RPL5, EEF1 and ACTB were the most stable for liver tissue.
According to the RankAggreg tool classification based on the three different algorithms (BestKeeper, geNorm and NormFinder), the most stable genes were RPL5, EEF1 and LDHA for heart tissue and RPL5, EEF1 and ACTB for liver tissue of chickens subjected to comfort and acute heat stress environmental conditions. However, the best reference genes may vary depending on the experimental conditions of each study, such as different breeds, environmental stressors, and tissues analyzed. Therefore, the need to perform priori studies to assay the best reference genes at the outset of each study is emphasized.
实时聚合酶链反应(RT-qPCR)是分析基因表达的重要工具。然而,在分析靶基因的表达之前,必须对参考基因进行归一化,以便找到最稳定的基因作为内参。在不同处理下所有样品中都保持稳定的基因被认为是合适的归一化因子。从这个意义上说,我们旨在为两种遗传差异的鸡(科布 500®商业系和佩洛科后院鸡)的心和肝组织中的靶基因确定稳定的参考基因,以适应舒适和急性热应激环境条件。分析了 8 个参考基因(ACTB、HPRT1、RPL5、EEF1、MRPS27、MRPS30、TFRC 和 LDHA)的表达稳定性。从 24 只鸡中获得样本,后院佩洛科鸡 12 只,科布 500®系鸡 12 只,暴露于两种环境条件(舒适和热应激)下。舒适温度为 23°C,热应激温度为 39.5°C,持续一小时。随后,对动物进行安乐死,并采集心和肝组织片段进行 RNA 提取和扩增。为了确定基因表达的稳定率,应用了三种不同的统计算法:BestKeeper、geNorm 和 NormFinder,并使用 R 软件的 RankAgregg 包获得了综合稳定列表。
BestKeeper 工具(包括遗传组和环境条件两个因素)最稳定的基因是心脏组织中的 LDHA、RPL5 和 MRPS27,以及肝脏组织中的 TFRC、RPL5 和 EEF1。应用 geNorm 算法,最佳参考基因是心脏组织中的 RPL5、EEF1 和 MRPS30,以及肝脏组织中的 LDHA、EEF1 和 RPL5。使用 NormFinder 算法,心脏组织中最稳定的正常化基因是 EEF1、RPL5 和 LDHA,而肝脏组织中最稳定的正常化基因是 EEF1、RPL5 和 ACTB。在 RankAggreg 包获得的总体排名中,考虑到三种算法,RPL5、EEF1 和 LDHA 是心脏组织中最稳定的基因,而 RPL5、EEF1 和 ACTB 是肝脏组织中最稳定的基因。
根据基于三种不同算法(BestKeeper、geNorm 和 NormFinder)的 RankAggreg 工具分类,在舒适和急性热应激环境条件下,心脏组织中最稳定的基因是 RPL5、EEF1 和 LDHA,而肝脏组织中最稳定的基因是 RPL5、EEF1 和 ACTB。然而,最佳参考基因可能因每个研究的实验条件而异,例如不同的品种、环境应激源和分析的组织。因此,强调需要在每个研究的开始进行先验研究,以确定最佳参考基因。