Optimized method for RNA extraction from leaves of forest tree species

Author:

Grodetskaya T,Fedorova O,Evlakov P

Abstract

Abstract Extraction of ribonucleic acid (RNA) from woody plants is a difficult task due to the peculiarities of plant material rich in polysaccharides and starch. The available techniques are often ineffective, since they result in the absence/reduced quality/reduced amount of RNA in the final preparation. The method we have optimized is based on the use of cethyltrimethyl ammonium bromide (CTAB), purification by phenol-chloroform extraction, use of lithium chloride and ammonium acetate. The method showed high efficiency for the extraction of RNA from the leaves of birch and poplar samples, in vitro and mature plants, in comparison with previously used methods (extraction using NucleoSpin® RNA Plant (Macherey-Nagel, Germany) columns, Su (2009) method, standard guanidine thiocyanate method). Electropherograms of RNA preparations showed its high integrity and concentration (up to 85 ng/μl), significantly higher purity of the preparation (up to 2.7 times). Purification of the preparation in the process of extraction can significantly reduce the yield of desoxyribonucleic acid (DNA). The optimized method is highly reproducible and can be used for further research, complementary DNA (cDNA) synthesis, qualitative and quantitative PCR analysis. The method allows obtaining high-quality RNA from other objects of agricultural and forest plants.

Publisher

IOP Publishing

Subject

General Engineering

Reference25 articles.

1. Extraction of plant RNA;MacRae;Protocols for nucleic acid analysis by nonradioactive probes,2007

2. Modified CTAB protocol for RNA extraction from Lemon balm ( Melissa officinalis L.);Rahmani;Acta Agriculturae Slovenica,2020

3. An efficient micro-method of DNA isolation from mature leaves of four hardwood tree species;Lefort;Acer, Fraxinus, Prunus and Quercus. Ann. For. Sci.,1999

4. A universal method for high-quality RNA extraction from plant tissues rich in starch, proteins and fiber;Vennapusa;Sci. Rep.-UK,2020

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