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Sustainability 2019, 11(8), 2229; https://doi.org/10.3390/su11082229

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

1,†, 2,3,†, 2,3,*, 2,3, 1, 2,3, 2,3, 2,3, 2,3 and 2,3
1
College of Municipal and Mapping Engineering, Hunan City University, Yiyang 413000, China
2
College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
3
Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this article.
Received: 21 February 2019 / Revised: 13 March 2019 / Accepted: 9 April 2019 / Published: 13 April 2019
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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 (R2 = 0.407, p < 0.01) showed a negative linear relationship with the Actinomyces 16S rDNA gene abundance. View Full-Text
Keywords: composting; Actinomycetes communities; PCR-DGGE; quantitative PCR; regression analysis; redundancy analysis composting; Actinomycetes communities; PCR-DGGE; quantitative PCR; regression analysis; redundancy analysis
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Li, Y.; Chen, Y.; Chen, Y.; Wu, Y.; Zhang, C.; Peng, Z.; Liu, Y.; Wang, S.; Xu, R.; Zeng, Z. Effects of Physico-Chemical Parameters on Actinomycetes Communities during Composting of Agricultural Waste. Sustainability 2019, 11, 2229.

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