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LOTUS-DB: an integrative and interactive database for Nelumbo nucifera study.

Kun Wang1, Jiao Deng2, Rebecca Njeri Damaris2

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Researchers have developed LOTUS-DB, a comprehensive database for the sacred lotus (Nelumbo nucifera), providing crucial genome information. This resource accelerates studies on gene function and aging in this important plant species.

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Area of Science:

  • Plant genomics
  • Molecular biology
  • Aging research

Background:

  • Sacred lotus (Nelumbo nucifera) holds significance in taxonomy, phylogeny, and potentially aging research.
  • Genetic and molecular studies require accessible genome information.

Purpose of the Study:

  • To construct a comprehensive database (LOTUS-DB) for Nelumbo nucifera genome information.
  • To facilitate efficient querying, browsing, and visualization of lotus genome data.
  • To accelerate research in gene cloning and functional identification.

Main Methods:

  • Construction of the LOTUS-DB database based on 2013 full genome sequencing reports.
  • Integration of comprehensive annotation, gene function, and expression data.
  • Development of tools for data visualization and download (genome DNA, CDS, transcripts, peptides, promoters, markers).

Main Results:

  • LOTUS-DB provides a centralized platform for Nelumbo nucifera genome data.
  • Users can efficiently access and analyze gene information, including function and expression.
  • The database supports graphical visualization and download of diverse genomic data types.

Conclusions:

  • LOTUS-DB significantly enhances research accessibility for the sacred lotus genome.
  • The database is expected to accelerate functional genomics studies and aging research in Nelumbo nucifera.
  • This resource promotes advancements in plant genomics and understanding of the sacred lotus.