Evidence map›Paper›PMID 26417266›Full record

ArticleEXCLI journal2014

EST sequencing and gene expression profiling in Scutellaria baicalensis.

Nam Il Park, Ik Young Choi, Beom-Soon Choi, Young Seon Kim, Mi Young Lee, Sang Un Park

Abstract read
In one paragraph

Article in EXCLI journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nam Il ParkDepartment of Plant Science, Gangneung-Wonju National University, 7 Jukheon-gil, Gangneung-si, Gangwon-do, 210-702, Korea.
Ik Young ChoiNational Instrumentation Center for Environmental Management, Seoul National University, 599 Gwanangno, Daehak-dong, Gwanak-gu, Seoul, 151-921, Korea.
Beom-Soon ChoiNational Instrumentation Center for Environmental Management, Seoul National University, 599 Gwanangno, Daehak-dong, Gwanak-gu, Seoul, 151-921, Korea.
Young Seon KimKM-Based Herbal Drug Research Group, Korea Institute of Oriental Medicine, Daejeon, 305-811, Korea.
Mi Young LeeKM-Based Herbal Drug Research Group, Korea Institute of Oriental Medicine, Daejeon, 305-811, Korea.
Sang Un ParkDepartment of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-Gu, Daejeon, 305-764, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scutellaria baicalensis is an important medicinal plant, but few genomic resources are available for this species, as well as for other non-model plants. One of the major new directions in genome research is to discover the full spectrum of genes transcribed from the whole genome. Here, we report extensive transcriptome data of the early growth stage of S. baicalensis. This transcriptome consensus sequence was constructed by de novo assembly of shotgun sequencing data, obtained using multiple next-generation DNA sequencing (NGS) platforms (Roche/454 GS_FLX+ and Illumina/Solexa HiSeq2000). We show that this new approach to obtain extensive mRNA is an efficient strategy for genome-wide transcriptome analysis. We obtained 1,226,938 and 161,417,646 reads using the GS_FLX and the Illumina/Solexa HiSeq2000, respectively. De novo assembly of the high-quality GS_FLX and Illumina reads (95 % and 75 %) resulted in more than 82 Mb of mRNA consensus sequence, which we assembled into 51,188 contigs, with at least 500 bp per contig. Of these contigs, 39,581 contained known genes, as determined by BLASTX searches against non-redundant NCBI database. Of these, 20,498 different genes were expressed during the early growth stage of S. baicalensis. We have made the expressed sequences available on a public database. Our results demonstrate the utility of combining NGS technologies as a basis for the development of genomic tools in non-model, medicinal plant species. Knowledge of all described genes and quantitation of the expressed genes, including the transcription factors involved, will be useful in studies of the biology of S. baicalensis gene regulation.

Indexed as

de novo assemblyexpression profilingnext generation sequencingScutellaria baicalensis

Identifiers

PMID26417266
PMCPMC4464476

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.