Béra-Maillet Christel, Mosoni Pascale, Kwasiborski Anthony, Suau Florent, Ribot Yves, Forano Evelyne
INRA, UR454 Unité de Microbiologie, F-63122 Saint-Genès-Champanelle, France.
J Microbiol Methods. 2009 Apr;77(1):8-16. doi: 10.1016/j.mimet.2008.11.009. Epub 2009 Jan 31.
An improved RNA isolation method based on the acid guanidinium-phenol-chloroform (AGPC) procedure using saline precipitation but no column purification was evaluated for quantifying microbial gene expression using reverse transcription quantitative PCR (RT-qPCR) in rumen contents. The method provided good RNA integrity and quantity extracts. The transcript levels of eight glycoside hydrolase (GH) genes of the major rumen fibrolytic bacterium Fibrobacter succinogenes were quantified in the complex microbiota of a conventional sheep and in a gnotobiotic lamb harboring a microflora containing F. succinogenes S85 as the sole cellulolytic microorganism. This study validated the improved RNA isolation method, RT-qPCR conditions to quantify GH transcripts using either the F. succinogenes S85 tuf gene or the 16S rRNA-encoding gene (rrs) as the reference gene, and demonstrated the need to work with good quality RNAs. Transcripts from all the selected genes cel3, endA(FS), celF and endB endoglucanase genes, cedA cellodextrinase gene, mlg lichenase gene, and xynC and xynD xylanase genes of F. succinogenes S85 were detected and quantified at varying levels in the rumen content of the two animal models. This study opens new perspectives in studying microbial gene expression in the rumen of both conventional and gnotobiotic sheep.
评估了一种基于酸胍-苯酚-氯仿(AGPC)法的改进RNA分离方法,该方法使用盐沉淀但不进行柱纯化,用于通过逆转录定量PCR(RT-qPCR)对瘤胃内容物中的微生物基因表达进行定量。该方法提供了良好的RNA完整性和高质量的提取物。在传统绵羊的复杂微生物群以及含有琥珀酸纤维杆菌S85作为唯一纤维素分解微生物的无菌羔羊的微生物群中,对主要瘤胃纤维分解菌琥珀酸纤维杆菌的八个糖苷水解酶(GH)基因的转录水平进行了定量。本研究验证了改进的RNA分离方法、使用琥珀酸纤维杆菌S85的tuf基因或16S rRNA编码基因(rrs)作为参考基因来定量GH转录本的RT-qPCR条件,并证明了使用高质量RNA的必要性。在两种动物模型的瘤胃内容物中,检测并定量了琥珀酸纤维杆菌S85所有选定基因(cel3、endA(FS)、celF和endB内切葡聚糖酶基因、cedA纤维二糖酶基因、mlg地衣多糖酶基因以及xynC和xynD木聚糖酶基因)的转录本,其水平各不相同。本研究为研究传统和无菌绵羊瘤胃中的微生物基因表达开辟了新的视角。