Succession of the microbial communities and function prediction during short-term peach sawdust-based composting

• Published in: Bioresource technology Vol. 332; p. 125079
• Main Authors: Guo, Yu-Xin, Chen, Qing-Jun, Qin, Yong, Yang, Ya-Ru, Yang, Qi-Zhi, Wang, Yue-Xing, Cheng, Zi-an, Cao, Na, Zhang, Guo-Qing
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.07.2021
• Subjects: China; Composting; Function prediction; Lignocellulosic degradation; Manure; Microbial community; Microbiota; Peach sawdust; Prunus persica; RNA, Ribosomal, 16S - genetics; Soil; China; Function prediction; Lignocellulosic degradation; Composting; Peach sawdust; Microbial community
• ISSN: 0960-8524; 1873-2976
• DOI: 10.1016/j.biortech.2021.125079

[Display omitted] •Short-term composting for preparing oyster mushroom cultivation was performed.•Variation of physicochemical properties led to succession of microbial communities.•Composting bacteria demonstrated much higher abundance than fungi.•Firmicutes, Actinobacteriota, and Proteobacteria were the dominant bacterial phyla.•Carbohydrate metabolism and amino acid metabolism were the main metabolic pathways. Short-term composting of raw materials for preparing oyster mushroom cultivation media is widely used in China, and its microbial mechanism needs to be further studied. 11-days' peach sawdust-based composting was performed to evaluate material conversion and microbial succession using physicochemical analysis and 16S rRNA and ITS sequencing. Composting bacteria demonstrated much higher abundance than fungi. Firmicutes, Actinobacteriota, and Proteobacteria were the dominant bacterial phyla, while most of fungal species belonged to Ascomycota. Moisture was the key factor at the beginning, while total nitrogen, temperature, and lignin became main influencing factors for composting maturity. Actinobacteriota, Firmicutes, and Proteobacteria of bacterial phyla, Eurotiomycetes and Sordariomycetes of fungal classes involved in lignocellulosic degradation. Bacterial function prediction analysis showed that carbohydrate metabolism and amino acid metabolism were the main metabolic pathways. These results confer a better understanding of material and microbial succession during short-term composting and also provide valuable utilization in mushroom industry.