长期混合施用牛粪化肥和秸秆对土壤细菌群落结构的影响的16srRNA基因测序分析
毕业论文关键词：Python；16s 测序；土壤细菌群落结构；牛粪；秸秆
Analysis of 16S rRNA gene sequencing data of effect of long-term mixed application of cow dung, chemical fertilizers and straw on soil microbial community structure Abstract：Fertilization measures can influence soil microbial community structure and its persity. By the way, 16s rRNA gene sequencing technology is an important method to study the structure of microbial community in soil samples, and Python is in advantage of rich software resources and convenience in analyzing biological sequence data. Therefore, we chooses the Python language to carry out preliminary processing and data mining on the 16s rRNA gene sequencing data of soil microbes treated by different fertilization methods, and then link the change of the community structure of soil microorganisms after long-term mixed application of cow dung to the physical and chemical properties change of soil under this long -term fertilization method. We found that this mixed fertilization method had little effect on the soil microbial community structure, In the case of high levels of organic matter in the soil. The results showed that there was no significant difference in α-persity and β-persity between the control group and the experimental group, and there was significant difference in the sequence abundance of 407 different grades. Among them, The difference in sequence abundance between the two grades, Xanthomonadales and micrococcus ,is particularly prominent. The reason may be that in this fertilization mode, although the soil microbial can use the carbon source, nitrogen source more from organic matter, but other soil physical and chemical properties (especially pH) changes are not significantly.
Key words: Python; 16 s sequencing; Soil bacterial community structure; Cow dung; Straw
目录
摘要： . 4
关键词： 4
Abstract： . 4
引言 5
1 材料与方法 5
1.1 土壤样品介绍与处理方法 5
1.2 Python语言以及生物信息相关 Python包和软件的介绍 . 6
1.2.1 Python在生物信息方面的应用 6
1.3 Python开发环境搭建以及 Biopython包的安装和使用 . 6
1.3.1 安装python和相关的科学计算的包Python .. 6
1.3.2 搭建基于sublimetext3的python开发环境 . 6
1.3.3 Biopython 包的使用方法[9]
.. 7
1.4 Qiime微生生物基因组分析工具的安装[10]
.. 8
1.5 本研究使用的其它的Python包的简要介绍 .. 8