Effects of Physico-Chemical Parameters on Actinomycetes Communities during Composting of Agricultural Waste

Yuanping Li, Yanrong Chen, Yaoning Chen, Yanxin Wu, Chun Zhang, Zhen Peng, Yihuan Liu, Sha Wang, Ran Xu and Ziping Zeng
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Yuanping Li: College of Municipal and Mapping Engineering, Hunan City University, Yiyang 413000, China
Yanrong Chen: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Yaoning Chen: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Yanxin Wu: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Chun Zhang: College of Municipal and Mapping Engineering, Hunan City University, Yiyang 413000, China
Zhen Peng: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Yihuan Liu: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Sha Wang: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Ran Xu: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
Ziping Zeng: College of Environmental Science and Engineering, Hunan University, Changsha 410082, China

Sustainability, 2019, vol. 11, issue 8, 1-13

Abstract: The objective of this study was to investigate the influence of physico-chemical parameters on Actinomycetes communities and to prioritize those parameters that contributed to Actinomycetes community composition during the composting of agricultural waste. Denaturing gradient gel electrophoresis of polymerase chain reaction (PCR-DGGE) and redundancy analysis (RDA) were used to determine the relationships between those parameters and Actinomycetes community composition. Quantitative PCR (qPCR) and regression analysis were used to monitor the 16S rDNA copy numbers of Actinomycetes and to analyse the correlations between physico-chemical parameters and Actinomyces 16S rDNA gene abundance, respectively. The RDA results showed that moisture content, water soluble carbon (WSC) and pH ( p < 0.05) made the main contributions to the temporal variations of Actinomycetes community composition. The output of the regression analysis indicated that moisture content ( R 2 = 0.407, p < 0.01) showed a negative linear relationship with the Actinomyces 16S rDNA gene abundance.

Keywords: composting; Actinomycetes communities; PCR-DGGE; quantitative PCR; regression analysis; redundancy analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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