Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing
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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Biotechnology & Biotechnological Equipment |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/13102818.2024.2326293 |
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| author | Xinrui Gou Yanli Liu Kun Li Chunyan Tian Jiahao Cui Shiqi Xu |
| author_facet | Xinrui Gou Yanli Liu Kun Li Chunyan Tian Jiahao Cui Shiqi Xu |
| author_sort | Xinrui Gou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9687153595fe4321a80b41cf468f2bd9 |
| institution | Kabale University |
| issn | 1310-2818 1314-3530 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Biotechnology & Biotechnological Equipment |
| spelling | doaj-art-9687153595fe4321a80b41cf468f2bd92024-12-10T05:42:51ZengTaylor & Francis GroupBiotechnology & Biotechnological Equipment1310-28181314-35302024-12-0138110.1080/13102818.2024.2326293Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencingXinrui Gou0Yanli Liu1Kun Li2Chunyan Tian3Jiahao Cui4Shiqi Xu5Department of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaDepartment of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaDepartment of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaDepartment of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaDepartment of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaDepartment of Biomedical Engineering, Chengde Medical University, Chengde, PR ChinaThe 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.https://www.tandfonline.com/doi/10.1080/13102818.2024.2326293Microbial communitytaxonomyfunction16S rRNAartificial forestlake |
| spellingShingle | Xinrui Gou Yanli Liu Kun Li Chunyan Tian Jiahao Cui Shiqi Xu Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing Biotechnology & Biotechnological Equipment Microbial community taxonomy function 16S rRNA artificial forest lake |
| title | Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing |
| title_full | Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing |
| title_fullStr | Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing |
| title_full_unstemmed | Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing |
| title_short | Bacterial diversity and functional characteristics of natural rainwater lakes in Saihanba artificial forest farm as revealed by 16S rRNA sequencing |
| title_sort | bacterial diversity and functional characteristics of natural rainwater lakes in saihanba artificial forest farm as revealed by 16s rrna sequencing |
| topic | Microbial community taxonomy function 16S rRNA artificial forest lake |
| url | https://www.tandfonline.com/doi/10.1080/13102818.2024.2326293 |
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