基于来自中国河口湿地的16S rRNA基因OTU的土壤微生物群落组成数据集
Yingjie Ma1, Shuhan Wang1, Jiale Ding1
1College of Geography Science and Tourism, Xinjiang Normal University, Urumqi, 830054, China.
Data in brief
|January 6, 2026
概括
这项研究绘制了中国河口湿地的微生物网络图,揭示了关键的细菌和真菌相互作用. 这些分子生态网络 (MEN) 为土壤微生物社区结构提供了洞察力.
科学领域:
- 生态生态学 生态生态学
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
背景情况:
- 河口湿地是具有复杂微生物群落的关键生态系统.
- 了解微生物相互作用对于生态系统的健康和功能至关重要.
- 中国的河口湿地代表了微生物生态研究的多样化环境.
研究的目的:
- 构建和分析中国河口湿地微生物群落的分子生态网络 (MEN).
- 确定影响网络结构和功能的关键微生物种群 ("经纪人").
- 为未来的研究提供微生物社区组成和生态网络的全面数据集.
主要方法:
- 从9个中国河口湿地 (2019年8月至9月) 收集了土壤样本.
- 测序细菌 (16S V4-V5) 和真菌 (ITS1) DNA,以生成OTU表.
- 使用分子生态网络分析管道 (MENAP) 与皮尔森相关性和随机矩阵理论构建的 MEN.
主要成果:
- 生成的细菌和真菌OTU表具有97%的相似性.
- 开发了微生物群落的全球和区域 MEN 邻矩阵.
- 计算了网络拓和节点级度量,识别了重要的"经纪人"OTU.
结论:
- 这项研究为中国河口湿地中微生物社区结构和相互作用提供了有价值的数据集.
- MEN分析揭示了复杂的生态网络,并确定了关键的微生物参与者.
- 这项研究有助于理解沿海环境中的微生物生态.
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