Niche Selection by Soil Bacterial Community of Disturbed Subalpine Forests in Western Sichuan

• Published in: Forests Vol. 12; no. 4; p. 505
• Main Authors: Sheng, Zheliang, Zhu, Wanze, Yao, Huaiying, Shu, Shumiao, Li, Xia, Ma, Shenglan, Li, Yaying, Xiong, Jinbo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 17.04.2021
• Subjects: Abundance; Bacteria; bacterial communities; Biodiversity; Carbon/nitrogen ratio; China; Ecological function; Ecological succession; Ecosystems; Environmental factors; Environmental restoration; Forests; Gene sequencing; genes; Grasslands; Hypotheses; Microbial activity; Microorganisms; Mountains; Multivariate analysis; Organic carbon; Organic phosphorus; Phosphorus; regression analysis; Rehabilitation; Relative abundance; Restoration; rRNA 16S; secondary forests; secondary succession; Soil analysis; Soil bacteria; Soil chemistry; Soil microorganisms; Soil pH; Soil structure; Soils; Subalpine environments; Vegetation; Tibetan Plateau; China; Sichuan China
• ISSN: 1999-4907; 1999-4907
• DOI: 10.3390/f12040505

Soil bacterial microbial communities are important in the ecosystem function and succession of forests. Using high-throughput 16S rRNA gene sequencing and relative importance for linear regression, we explored how the structures of soil bacterial community were influenced by the environmental factors and restoration succession of secondary forests in the Miyaluo Mountains of western Sichuan, China. Using a space-for-time approach, field measurements and sampling were conducted in four stands at different stages of natural restoration. Results of distance-based multivariate analysis showed that soil pH, organic carbon, available phosphorus, and C/N ratio were the predominant environmental factors that collectively explained a 46.9% variation in the bacterial community structures. The community compositions were jointly controlled by the direct and indirect effects of the rehabilitation stages. The changes in soil environmental factors coincided with restoration succession could lead to the shifts in the relative abundance of different soil bacterial taxa. We screened 13 successional discriminant taxa that could quantitatively indicate the secondary succession subalpine stage. Collectively, our findings show that soil bacteria in different taxa are governed by different local soil variables and rehabilitation ages, which can lead to shifts in the relative abundance of different taxa in successional stages, ultimately changing the entire soil bacterial community with the succession of secondary forest.