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Lateral Root Inducible System in Arabidopsis and Maize
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In silico gene expression analysis in Codonopsis lanceolata root.

Subramaniyam Sathiyamoorthy1, Jun-Gyo In, Ok Ran Lee

  • 1Korean Ginseng Center and Ginseng Genetic Resource Bank, Kyung Hee University, 1 Seocheon, Giheung-gu, Yongin-si, Gyeonggi-do 449-701, South Korea.

Molecular Biology Reports
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This study presents the first expressed sequence tags (ESTs) for Codonopsis lanceolata, revealing insights into genes for metabolism and stress responses. The developed Codonopsis EST database aids future research on this medicinal plant.

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Area of Science:

  • Plant Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Expressed sequence tags (ESTs) are crucial for identifying genes involved in plant metabolism.
  • No previous EST data existed for Codonopsis lanceolata, a plant with potential medicinal value.

Purpose of the Study:

  • To generate the first comprehensive EST dataset for Codonopsis lanceolata.
  • To functionally annotate and classify the identified transcripts.
  • To establish a publicly accessible database for Codonopsis ESTs.

Main Methods:

  • Construction of a cDNA library from Codonopsis lanceolata roots.
  • Sequencing and processing of 881 cDNA clones using an EST pipeline.
  • Bioinformatic analysis including functional annotation, Gene Ontology (GO), KEGG pathway mapping, and expression studies.

Main Results:

  • Generated 636 unique sequences from 881 cDNA clones.
  • Achieved 81% putative annotation of EST sequences.
  • Identified key genes involved in stress responses, metabolism, and cellular processes.
  • Established "The Codonopsis EST Database" for data accessibility.

Conclusions:

  • This pioneering EST dataset provides a valuable resource for understanding Codonopsis lanceolata gene functions.
  • The findings highlight the plant's potential for secondary metabolite synthesis and stress adaptation.
  • The database facilitates further functional genomics and breeding research.