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A Simple Method to Decode the Complete 18-5.8-28S rRNA Repeated Units of Green Algae by Genome Skimming.
Lin, Geng-Ming; Lai, Yu-Heng; Audira, Gilbert; Hsiao, Chung-Der.
Afiliação
  • Lin GM; Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, State Oceanic Administration, Xiamen 361005, China. lingengming@tio.org.cn.
  • Lai YH; Department of Chemistry, Chinese Culture University, Taipei 11114, Taiwan. lyh21@ulive.pccu.edu.tw.
  • Audira G; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 32023, Taiwan. gilbertaudira@yahoo.com.
  • Hsiao CD; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 32023, Taiwan. cdhsiao@cycu.edu.tw.
Int J Mol Sci ; 18(11)2017 Nov 06.
Article em En | MEDLINE | ID: mdl-29113146
Green algae, Chlorella ellipsoidea, Haematococcus pluvialis and Aegagropila linnaei (Phylum Chlorophyta) were simultaneously decoded by a genomic skimming approach within 18-5.8-28S rRNA region. Whole genomic DNAs were isolated from green algae and directly subjected to low coverage genome skimming sequencing. After de novo assembly and mapping, the size of complete 18-5.8-28S rRNA repeated units for three green algae were ranged from 5785 to 6028 bp, which showed high nucleotide diversity (π is around 0.5-0.6) within ITS1 and ITS2 (Internal Transcribed Spacer) regions. Previously, the evolutional diversity of algae has been difficult to decode due to the inability design universal primers that amplify specific marker genes across diverse algal species. In this study, our method provided a rapid and universal approach to decode the 18-5.8-28S rRNA repeat unit in three green algal species. In addition, the completely sequenced 18-5.8-28S rRNA repeated units provided a solid nuclear marker for phylogenetic and evolutionary analysis for green algae for the first time.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / RNA Ribossômico 28S / Chlorella / Genoma Idioma: En Revista: Int J Mol Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / RNA Ribossômico 28S / Chlorella / Genoma Idioma: En Revista: Int J Mol Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China