Key lab of organic-based fertilizers of China and Jiangsu provincial key lab for solid organic waste utilization, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Bacterial Interactions and Evolution Group, DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark.
mSystems. 2023 Dec 21;8(6):e0104523. doi: 10.1128/msystems.01045-23. Epub 2023 Nov 16.
Co-occurrence network analysis is an effective tool for predicting complex networks of microbial interactions in the natural environment. Using isolates from a rhizosphere, we constructed multi-species biofilm communities and investigated co-occurrence patterns between microbial species in genome-scale metabolic models and in vitro experiments. According to our results, metabolic exchanges and resource competition may partially explain the co-occurrence network analysis results found in synthetic bacterial biofilm communities.
共现网络分析是预测自然环境中微生物相互作用复杂网络的有效工具。本研究使用根际分离物构建了多物种生物膜群落，并在基因组尺度代谢模型和体外实验中研究了微生物物种之间的共现模式。根据我们的结果，代谢交换和资源竞争可能部分解释了合成细菌生物膜群落中发现的共现网络分析结果。
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