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农业废物堆肥化中理化参数对GH6家族基因影响
引用本文:陈耀宁,苟宇,黎媛萍,伍艳馨,陈艳容,李辉,刘耀,汪元南,张道利,朱福造,曾光明. 农业废物堆肥化中理化参数对GH6家族基因影响[J]. 环境科学, 2017, 38(11): 4874-4881
作者姓名:陈耀宁  苟宇  黎媛萍  伍艳馨  陈艳容  李辉  刘耀  汪元南  张道利  朱福造  曾光明
作者单位:湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南城市学院市政与测绘工程学院, 益阳 413000,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南省林业科学院生物环境工程研究所, 长沙 410004,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082,湖南大学环境科学与工程学院, 长沙 410082;环境生物与控制教育部重点实验室(湖南大学), 长沙 410082
基金项目: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)
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.

关 键 词:堆肥化  GH6家族基因  PCR-DGGE  冗余分析  蒙特卡罗置换检验
收稿时间:2017-04-01
修稿时间:2017-05-19

Effects on Physico-chemical Parameters of Glycoside Hydrolase Family 6 Genes During Composting of Agricultural Waste
CHEN Yao-ning,GOU Yu,LI Yuan-ping,WU Yan-xin,CHEN Yan-rong,LI Hui,LIU Yao,WANG Yuan-nan,ZHANG Dao-li,ZHU Fu-zao and ZENG Guang-ming. Effects on Physico-chemical Parameters of Glycoside Hydrolase Family 6 Genes During Composting of Agricultural Waste[J]. Chinese Journal of Environmental Science, 2017, 38(11): 4874-4881
Authors:CHEN Yao-ning  GOU Yu  LI Yuan-ping  WU Yan-xin  CHEN Yan-rong  LI Hui  LIU Yao  WANG Yuan-nan  ZHANG Dao-li  ZHU Fu-zao  ZENG Guang-ming
Affiliation:College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Municipal and Mapping Engineering, Hunan City University, Yiyang 413000, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,Institute of Biological and Environmental Engineering, Hunan Academy of Forestry, Changsha 410004, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China,College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China and College of Environment Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory of Environmental Biology and Pollution Control(Hunan University), Changsha 410082, China
Abstract:Polymerase chain reaction denaturing gradient gel electrophoresis (PCR-DGGE) was used to study the changes of glycoside hydrolase family 6 (GH6 family) genes during the composting of agricultural waste. In addition, a redundancy analysis (RDA) and Monte Carlo permutation test were applied to determine the relationship between the changes to the GH6 family genes and physico-chemical parameters. According to the relative magnitudes of the influence caused by these different parameters on the changes to GH6 family genes, the eight-ranked physico-chemical parameters were pH > pile temperature > total nitrogen (TN) > total organic matter (TOM) > C/N ratio > moisture content > ambient temperature > water soluble carbon (WSC). The eight physico-chemical parameters, which explained 83.1% of the variation of GH6 family genes, confirmed that these parameters had important effects on the GH6 family genes changes. The pH (P=0.002), pile temperature (P=0.004), and TN (P=0.004) had the most significant impacts on these changes. These three significant factors explained 24.92%, 15.57%, and 15.04% of the variation of GH6 family genes, respectively. There were different dominant species which contain GH6 family genes in different stages of composting. The diversity and abundance of GH6 family genes demonstrated these fluctuation trends. The t-value biplots based on the RDA showed that these three significant factors had either positive or negative correlations with the dynamic changes of GH6 family genes and the microbial species contained within GH6 family genes can be generally be divided into five types. The microbial community changes are reflected by the No. 4 to No. 10 bands and these had a significant positive correlation with pile temperature and a significant negative correlation with pH and TN. The microbial community changes reflected by the No. 20 to No. 23 bands had a significant positive correlation with pH and TN.
Keywords:composting  GH6 family genes  PCR-DGGE  RDA  Monte Carlo permutation test
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