农业废物堆肥化中理化参数对GH6家族基因影响

发布时间：2018-02-23 12:58

本文关键词： 堆肥化 GH家族基因 PCR-DGGE 冗余分析蒙特卡罗置换检验　出处：《环境科学》2017年11期 　论文类型：期刊论文

【摘要】：采用PCR-DGGE技术,研究农业废物稻草堆肥化过程中参与纤维素降解的糖苷水解酶GH6家族基因的变化,并使用冗余分析(redundancy analysis,RDA)和蒙特卡罗置换检验(Monte Carlo permutation test)研究了生物信息矩阵与环境因子矩阵间的相关性.结果表明,8个理化参数对GH6家族基因变化影响的相对大小为:p H堆体温度TN(total nitrogen)TOM(total organic matters)C/N(TOC/TN)含水率环境温度WSC(water soluble carbon),8个理化参数共解释了83.1%的GH6家族基因变化,对GH6家族基因变化有重要影响,其中pH(P=0.002)、堆体温度(P=0.004)和TN(P=0.004)是影响GH6家族基因变化的显著因子,三者分别解释了24.92%、15.57%和15.04%的GH6家族基因变化.含GH6家族基因的优势菌种在堆体不同时期有所不同.GH6家族基因的多样性和丰度随堆肥化进程整体呈现出波动趋势.基于冗余分析的t-value分析表明3个显著因子对GH6家族基因的动态变化具有不同的正负相关性.
[Abstract]:PCR-DGGE technique was used to study the changes of glycoside hydrolase (GH6) family genes involved in cellulose degradation during rice straw composting. The correlation between biologic information matrix and environmental factor matrix was studied by using redundancy analysis and Monte Carlo permutation test (Monte Carlo Carlo permutation test). The results showed that the effects of eight physical and chemical parameters on GH6 family genes were as follows: 1. TN(total nitrogen)TOM(total organic matters (C / NTOC / TNN) water content environmental temperature WSC(water soluble carbon.Eighteen physicochemical parameters explain the changes of GH6 family genes in 83.1%. The gene changes of GH6 family were significantly affected by P0. 002, P0. 004) and P0. 004). The variation of GH6 family genes in 24.92% and 15.04%% was explained respectively. The diversity and abundance of GH6 family genes in dominant strains containing GH6 family genes were different at different stages of the heap. The diversity and abundance of GH6 family genes fluctuated with the composting process as a whole. T-value analysis of redundancy analysis showed that three significant factors had different positive and negative correlations to the dynamic changes of GH6 family genes.
【作者单位】：湖南大学环境科学与工程学院;环境生物与控制教育部重点实验室(湖南大学);湖南城市学院市政与测绘工程学院;湖南省林业科学院生物环境工程研究所;
【基金】：国家自然科学基金项目(51378190,51521006,51578222,51579094) 湖南省自然科学基金项目(13JJB002) 湖南省科技厅重点研发计划项目(2016SK2045) 湖南省教育厅创新平台开放基金项目(17K019)
【分类号】：S141.4

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