Evidence map›Paper›PMID 24812480›Full record

ArticleEvolutionary bioinformatics online2014

A multistep screening method to identify genes using evolutionary transcriptome of plants.

Chang-Kug Kim, Hye-Min Lim, Jong-Kuk Na, Ji-Weon Choi, Seong-Han Sohn, Soo-Chul Park, Young-Hwan Kim, Yong-Kab Kim, Dool-Yi Kim

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

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

9 authors at 3 institutions in 1 country.

Chang-Kug KimGenomics Division, National Academy of Agricultural Science (NAAS), Rural Development Administration (RDA), Suwon, Korea.
Hye-Min LimGenomics Division, National Academy of Agricultural Science (NAAS), Rural Development Administration (RDA), Suwon, Korea.
Jong-Kuk NaMolecular Breeding Division, NAAS, RDA, Suwon, Korea.
Ji-Weon ChoiVegetable Science Division, National Institute of Horticultural and Herbal Science, Suwon, Korea.
Seong-Han SohnGenomics Division, National Academy of Agricultural Science (NAAS), Rural Development Administration (RDA), Suwon, Korea.
Soo-Chul ParkThe National Center for GM Crops, RDA, Suwon, Korea.
Young-Hwan KimPolicy Development Office, Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries, Anyang, Korea.
Yong-Kab KimSchool of Electrical Information Communication Engineering, Wonkwang University, Iksan, Korea.
Dool-Yi KimMolecular Breeding Division, NAAS, RDA, Suwon, Korea.
Rural Development Administration · KRWonkwang University · KRNational Academy of Agricultural Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduced a multistep screening method to identify the genes in plants using microarrays and ribonucleic acid (RNA)-seq transcriptome data. Our method describes the process for identifying genes using the salt-tolerance response pathways of the potato (Solanum tuberosum) plant. Gene expression was analyzed using microarrays and RNA-seq experiments that examined three potato lines (high, intermediate, and low salt tolerance) under conditions of salt stress. We screened the orthologous genes and pathway genes involved in salinity-related biosynthetic pathways, and identified nine potato genes that were candidates for salinity-tolerance pathways. The nine genes were selected to characterize their phylogenetic reconstruction with homologous genes of Arabidopsis thaliana, and a Circos diagram was generated to understand the relationships among the selected genes. The involvement of the selected genes in salt-tolerance pathways was verified by reverse transcription polymerase chain reaction analysis. One candidate potato gene was selected for physiological validation by generating dehydration-responsive element-binding 1 (DREB1)-overexpressing transgenic potato plants. The DREB1 overexpression lines exhibited increased salt tolerance and plant growth when compared to that of the control. Although the nine genes identified by our multistep screening method require further characterization and validation, this study demonstrates the power of our screening strategy after the initial identification of genes using microarrays and RNA-seq experiments.

Indexed as

microarraymultistep methodRNA-seqsalt tolerance

Identifiers

PMID24812480
PMCPMC3999899
OpenAlexW1994579471

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.