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      Improved CTAB method for RNA extraction of thick waxy leaf tissues from sago palm (Metroxylon sagu Rottb.)

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      Chemical and Biological Technologies in Agriculture
      Springer Science and Business Media LLC

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          Abstract

          Background

          There is a growing interest in transcriptomics studies parallel to the advancement of transcriptome databases and bioinformatics, which provided the opportunity to study responses to growths, stimuli and stresses. There is an increase in demand for excellent RNA extraction techniques. General RNA extraction protocols can be used in RNA extraction, but the quality and quantity vary in different types of tissues from different organisms. Hence, a specific RNA extraction method for each organism’s tissue type is required to obtain the desired RNA quality and quantity.

          Results

          The improved CTAB RNA extraction method is superior to the PCI method and MRIP method for thick waxy leaves that were applied for mature sago palm ( Metroxylon sagu Rottb.) leaf tissue and produce total RNA extract with good purity (OD 260/280 ≥ 1.8, OD 260/230 ≥ 2.0) and integrity (RIN ~ 7). RNA sequencing was conducted with the extracted samples and showed good assembly results (Q20 ≥ 97, Q30 ≥ 91%, assembly mean length ≥ 700 bp).

          Conclusion

          The improved CTAB RNA extraction method enables rapid, cost-effective, and relatively simple RNA extraction from waxy, fibrous and high-in-polyphenol sago palm ( M. sagu Rottb.) leaf tissue with next-generation RNA sequencing recommended quality.

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          Most cited references21

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          RNA-Seq: a revolutionary tool for transcriptomics.

          RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.
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            Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction

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              Is Open Access

              The RIN: an RNA integrity number for assigning integrity values to RNA measurements

              Background The integrity of RNA molecules is of paramount importance for experiments that try to reflect the snapshot of gene expression at the moment of RNA extraction. Until recently, there has been no reliable standard for estimating the integrity of RNA samples and the ratio of 28S:18S ribosomal RNA, the common measure for this purpose, has been shown to be inconsistent. The advent of microcapillary electrophoretic RNA separation provides the basis for an automated high-throughput approach, in order to estimate the integrity of RNA samples in an unambiguous way. Methods A method is introduced that automatically selects features from signal measurements and constructs regression models based on a Bayesian learning technique. Feature spaces of different dimensionality are compared in the Bayesian framework, which allows selecting a final feature combination corresponding to models with high posterior probability. Results This approach is applied to a large collection of electrophoretic RNA measurements recorded with an Agilent 2100 bioanalyzer to extract an algorithm that describes RNA integrity. The resulting algorithm is a user-independent, automated and reliable procedure for standardization of RNA quality control that allows the calculation of an RNA integrity number (RIN). Conclusion Our results show the importance of taking characteristics of several regions of the recorded electropherogram into account in order to get a robust and reliable prediction of RNA integrity, especially if compared to traditional methods.
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                Author and article information

                Journal
                Chemical and Biological Technologies in Agriculture
                Chem. Biol. Technol. Agric.
                Springer Science and Business Media LLC
                2196-5641
                December 2022
                September 13 2022
                : 9
                : 1
                Article
                10.1186/s40538-022-00329-9
                a28a8ecf-ff69-4cfd-a7ff-5dcaaf7d83cf
                © 2022

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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