Universidade Federal de Pernambuco, Departamento de Botânica, Laboratório de Fisiologia Vegetal, Recife, PE, Brazil.
Universidade Federal de Pernambuco, Departamento de Genética, Laboratório Genética e Biotecnologia Vegetal, Recife, PE, Brazil.
PLoS One. 2019 Apr 18;14(4):e0215729. doi: 10.1371/journal.pone.0215729. eCollection 2019.
Calotropis procera is a perennial Asian shrub with significant adaptation to adverse climate conditions and poor soils. Given its increased salt and drought stress tolerance, C. procera stands out as a powerful candidate to provide alternative genetic resources for biotechnological approaches. The qPCR (real-time quantitative polymerase chain reaction), widely recognized among the most accurate methods for quantifying gene expression, demands suitable reference genes (RGs) to avoid over- or underestimations of the relative expression and incorrect interpretation. This study aimed at evaluating the stability of ten RGs for normalization of gene expression of root and leaf of C. procera under different salt stress conditions and different collection times. The selected RGs were used on expression analysis of three target genes. Three independent experiments were carried out in greenhouse with young plants: i) Leaf100 = leaf samples collected 30 min, 2 h, 8 h and 45 days after NaCl-stress (100 mM NaCl); ii) Root50 and iii) Root200 = root samples collected 30 min, 2 h, 8 h and 1day after NaCl-stress (50 and 200 mM NaCl, respectively). Stability rank among the three algorithms used showed high agreement for the four most stable RGs. The four most stable RGs showed high congruence among all combination of collection time, for each software studied, with minor disagreements. CYP23 was the best RG (rank of top four) for all experimental conditions (Leaf100, Root50, and Root200). Using appropriated RGs, we validated the relative expression level of three differentially expressed target genes (NAC78, CNBL4, and ND1) in Leaf100 and Root200 samples. This study provides the first selection of stable reference genes for C. procera under salinity. Our results emphasize the need for caution when evaluating the stability RGs under different amplitude of variable factors.
美丽鹰麻是一种多年生亚洲灌木,对不利的气候条件和贫瘠的土壤有很强的适应性。鉴于其增强的耐盐和耐旱性,美丽鹰麻作为生物技术方法的替代遗传资源的有力候选者脱颖而出。qPCR(实时定量聚合酶链反应)是定量基因表达最准确的方法之一,需要合适的参考基因(RGs)来避免对相对表达的过高或过低估计以及错误解释。本研究旨在评估 10 个 RG 在不同盐胁迫条件和不同采集时间下对美丽鹰麻根和叶基因表达的归一化稳定性。选择的 RG 用于三个靶基因的表达分析。在温室中对幼苗进行了三个独立的实验:i)Leaf100 = 在盐胁迫(100mM NaCl)后 30 分钟、2 小时、8 小时和 45 天采集的叶片样本;ii)Root50 和 iii)Root200 = 在盐胁迫(分别为 50 和 200mM NaCl)后 30 分钟、2 小时、8 小时和 1 天采集的根样本。三种算法的稳定性等级在四种最稳定 RG 之间表现出高度一致性。四种最稳定的 RG 在每种研究软件的所有采集时间组合中表现出高度一致性,仅有微小差异。在所有实验条件下(Leaf100、Root50 和 Root200),CYP23 是最佳 RG(前四名)。使用适当的 RG,我们验证了在 Leaf100 和 Root200 样本中三个差异表达靶基因(NAC78、CNBL4 和 ND1)的相对表达水平。本研究为美丽鹰麻在盐胁迫下提供了第一个稳定参考基因的选择。我们的结果强调了在不同幅度的可变因素下评估 RG 稳定性时需要谨慎。