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小球藻鉴定基因的筛选及高产油微藻的分子鉴定

何茹 刘君寒 王士安 李福利

安徽农业科学2011,Vol.39Issue(25):15230-15232,3.
安徽农业科学2011,Vol.39Issue(25):15230-15232,3.

小球藻鉴定基因的筛选及高产油微藻的分子鉴定

Screening of the Gene for Chlorella Identification and Identification of Oil-producing Microalgae

何茹 1刘君寒 2王士安 1李福利1

作者信息

  • 1. 中国科学院青岛生物能源与过程研究所,山东青岛266101
  • 2. 中国科学院研究生院,北京100049
  • 折叠

摘要

Abstract

[Objective] The aim was to select suitable gene for Chlorella identification and to identify the oil-producing microalgae. [Method] Four candidate gene sequences, the nuclear genomic rDNA of the 18S rRNA gene, internal transcribed spacer (ITS), internal transcribed spacer Ⅱ (ITS Ⅱ ) and the chloroplast rbcL gene, were selected for Chlorella molecular identification. Through these four candidate genes, the genetic variability and distinguish ability between intra-species and inter-species was analyzed to choose the right genes for identification of the high oil-content Chlorella. On this basis, application of these gene segments were classified and identified for five fresh-water isolated Chlorella, which oil-content is more than 30%. [Result] ITS gene was a suitable gene because of its high variation and short fragment length, meanwhile its genetic distance intra-species (0.439 6 ± 0.135 9) was larger than inter-species (0.045 7 ± 0.084 3). Its sequence length varied between different species whereas highly conserved in the same species. By the application of ITS sequences, respectively, five high oil-content stains were identified as one C. Vulgaris, two strains of C. Sorokiniana and two strains of algae Chlorella sp. [ Conclusion] This study had provided reference for the establishment of identification gene pool of Chlorella.

关键词

产油微藻/分子鉴定/内转录间隔区/18S rRNA基因/遗传距离

Key words

Oil-producing microalgae/Molecular identification/Internal transcribed spacers/18S rRNA gene/Genetic distance

分类

农业科技

引用本文复制引用

何茹,刘君寒,王士安,李福利..小球藻鉴定基因的筛选及高产油微藻的分子鉴定[J].安徽农业科学,2011,39(25):15230-15232,3.

基金项目

中国科学院知识创新工程重要方向性项目(KGCX2-YW-374-3) (KGCX2-YW-374-3)

山东省科技攻关项目(2008GG20007002). (2008GG20007002)

安徽农业科学

0517-6611

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