A Multistep Screening Method to Identify Genes Using Evolutionary Transcriptome of Plants. (January 2014)
- Record Type:
- Journal Article
- Title:
- A Multistep Screening Method to Identify Genes Using Evolutionary Transcriptome of Plants. (January 2014)
- Main Title:
- A Multistep Screening Method to Identify Genes Using Evolutionary Transcriptome of Plants
- Authors:
- Kim, Chang-Kug
Lim, Hye-Min
Na, Jong-Kuk
Choi, Ji-Weon
Sohn, Seong-Han
Park, Soo-Chul
Kim, Young-Hwan
Kim, Yong-Kab
Kim, Dool-Yi - 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 theWe 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. … (more)
- Is Part Of:
- Evolutionary bioinformatics online. Volume 10(2014)
- Journal:
- Evolutionary bioinformatics online
- Issue:
- Volume 10(2014)
- Issue Display:
- Volume 10, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 10
- Issue:
- 2014
- Issue Sort Value:
- 2014-0010-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-01
- Subjects:
- microarray -- multistep method -- RNA-seq -- salt tolerance
Bioinformatics -- Periodicals
Evolutionary computation -- Periodicals
Genetic programming (Computer science) -- Periodicals
Computational Biology
Evolution, Molecular
Bioinformatics
Electronic journals
Periodicals
Fulltext
Internet Resources
Periodicals
Periodicals
576.8 - Journal URLs:
- http://insights.sagepub.com/journal-evolutionary-bioinformatics-j17 ↗
http://www.uk.sagepub.com/home.nav ↗
http://www.la-press.com/evolutionary-bioinformatics-journal-j17 ↗
http://bibpurl.oclc.org/web/38943 ↗ - DOI:
- 10.4137/EBO.S14823 ↗
- Languages:
- English
- ISSNs:
- 1176-9343
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23508.xml