Biodiv Sci ›› 2014, Vol. 22 ›› Issue (3): 285-292.DOI: 10.3724/SP.J.1003.2014.13268

Special Issue: 生物多样性信息学专题(II)

• Orginal Article • Previous Articles     Next Articles

Plant DNA barcoding and framework for biodiversity data sharing platform

Chunxia Zeng1, Yanan Wang2, Yuhua Wang2,3,*(), Hong Wang1,4,*()   

  1. 1. China Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201
    2. Science and Technology Information Center, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201
    3. Key Laboratory of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201
    4. Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201
  • Received:2013-12-30 Accepted:2014-04-14 Online:2014-05-20 Published:2014-06-04
  • Contact: Wang Yuhua,Wang Hong

Abstract:

DNA barcoding technology provides an opportunity for rapid, accurate, and standardized species-level identification using short DNA sequences. This method speeds up species identification and classification, and presents a new tool for the management, conservation and sustainable development of biodiversity at a global level. Due to improvements in plant barcode database availability and functionality, it is becoming feasible to meet increasing demands for biodiversity information. A framework is needed for a barcoding server platform that utilizes, integrates, and shares among different data types. Such a platform would be an important step towards enabling the public to rapidly identify species and acquire species-related digital information. In this paper, we review current progress on plant DNA barcoding. Secondly, we summarize the current status of, and identify bottlenecks for, plant DNA barcode reference libraries specifically. Thirdly, in the Big Data era, it is indispensable to manage and make good use of massive amounts of plant information. We provide the following suggestions for the framework of server platform: (1) metadata should be substantial, accurate and correlative; (2) data should be normalized; (3) query entrance is convenient, efficient, easy to manage, and available for large-scale data sharing and global communication.

Key words: plant DNA barcoding, iFlora, biodiversity, server platform