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中国农学通报

中国农学通报 ›› 2009, Vol. 25 ›› Issue (14): 286-290.

• 农业科技信息 • 上一篇    下一篇

土壤微生物群落磷脂脂肪酸生物标记分析程序PLFAEco

林营志,刘波,张秋芳,傅秀荣   

  • 收稿日期:2009-03-16 修回日期:2009-04-30 出版日期:2009-07-20 发布日期:2009-07-20

The Development of the Program PLFAEco for Analysis of the Phospholipid Fatty Acids (PLFAs) Biomarkers Detected from the Microbial Community in Soil Samples

Lin Yingzhi, Liu Bo, Zhang Qiufang, Fu Xiurong   

  • Received:2009-03-16 Revised:2009-04-30 Online:2009-07-20 Published:2009-07-20

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摘要： 磷脂脂肪酸(PLFAs)是一个良好的生物标记物，可应用于土壤微生物群落多样性的定性定量分析。为提高分析效率，在MIDI公司的Sherlock脂肪酸微生物鉴定系统的基础上编写了生物标记辅助分析程序PLFAEco，提供基于PLFAs的微生物群落分析功能，包括样品的Shannon-Wiener(H1)、Brillouin(H2)、McIntosh多样性指数(H3)、丰富度指数(S)、Pielou均匀度(J)、Simpson优势度指数(D)计算，聚类分析，主成份分析，可分别以样品和PLFAs为对象。该软件可依用户设定以PLFAs组合代替单一PLFA为计算单元便于比较真菌、放线菌、细菌等微生物类群之间的关系；亦可根据样品重复、处理信息进行均值和标准差计算。计算结果以包含图表的网页形式显示，提供CSV格式的数据文件供其它软件使用。该软件扩展了Sherlock系统在微生物群落分析方面的功能，避免了手工利用该系统带来的磷脂脂肪酸数据提取、数据矩阵构建、统计计算等复杂而繁重的工作，具有操作方便、速度快的特点，能满足大多数情况下的需求，已在烟田土壤、发酵床养猪场垫料的微生物群落分析中得到了验证。本程序及手册、示例位于网站www.dagri.org。

关键词: 籼稻, 籼稻, 萌芽糙米, r-氨基丁酸

Abstract: Phospholipid fatty acids (PLFAs) were widely used as the biological mark to analysis the microbial community diversity qualitatively and quantitatively. Based on the Sherlock MIS(MIDI Inc.), A Perl script program PLFAEco was developed to analysis the PLFAs of the soil samples. The function of it concluded: calculation of the Shannon-Wiener (H1), Brillouin (H2) and McIntosh (H3) diversity index, the abundance (S), Pielou evenness (J) and Simpson index (D); calculation of the Mean and SD; analysis of Cluster and PCA and output the statistics graphs. Output was formated into a HTML webpage included the data table and graph, and the files(CSV format) were provided for data exchange with orther software. It took short time to complete PLFAs data analysis and was the powerful tool for data process attaching to the MIDI system. This program had been used to analysis the flue-cured tobacco soil and the stroma cushion of non-pollution pigsty. User can download the program, manual and the example data from www.dagri.org.