Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing

Abstract

The Saihanba Mechanical Forest is an artificial national forest park with a forest-steppe landscape. The flora and fauna have been extensively studied, but a comprehensive understanding of the bacterial community composition and structure of the natural rainwater lakes present in the area has rarely been reported. In this study, the structure and functional characteristics of bacterial communities in lake sediments and water samples in the Saihanba artificial forest were investigated using 16s rRNA high-throughput sequencing. Microbial diversity analyses revealed that Proteobacteria, Acidobacteria, Bacteroidota and Verrucomicrobiota microbiota dominated. The abundance of Proteobacteria and Actinobacteriota was significantly higher (p < .05) in water samples compared to sediment samples. PICRUSt2 functional analysis predicted genes associated with the degradation of xenobiotics and the execution of essential metabolic processes. Here, we report differences in the composition of native bacterial communities in sediments and water under the Saihanba artificial forest and make functional gene predictions. This study provides a reference for further exploring the structure and functional characteristics of microbial communities in water samples and sediment environments of lakes under planted forests.

Keywords:

• Microbial community
• taxonomy
• function
• 16S rRNA
• artificial forest
• lake
• sediment

Authors contributions

XG: Data curation; Investigation; Visualization; Writing – original draft, review & editing; YL: Writing – review & editing; investigation; KL: Data curation; original draft preparation; funding acquisition; project administration; CT, JC: Visualization; SX: Methodology; formal analysis; funding acquisition; project administration; supervision. All authors have read and approved the final version of the paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding authors upon reasonable request.

Additional information

Funding

This work was supported by the Chengde Biomedicine Industry Research Institute Funding project under Grant [202205B086].