Artificially selecting bacterial communities using propagule strategies.
Artificially selecting bacterial communities using propagule strategies.
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DOI：
10.1111/evo.14092
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发表时间：
2020-10
期刊：
影响因子：
--
通讯作者：
Sanchez A
中科院分区：
文献类型：
--
作者：
Chang CY;Osborne ML;Bajic D;Sanchez A
人工选择是操纵微生物群落的一种很有前途的方法。在这里，我们报告了两个在微生物群落水平上的人工选择实验的结果。两者都采用了“繁殖”选择策略，即以表现最好的群落为接种物，形成新一代群落。这两个实验都与随机选择对照进行了对比。第一个实验使用一组确定的菌株作为起始接种物，被选择的功能是联合体的淀粉分解活性。第二个实验以多个土壤群落为起始接种物，选择的作用是群落的交叉饲养潜力。在这两个实验中，选定的群落达到了比对照更高的平均功能。在第一个实验中，这是由对照功能的下降引起的，而不是所选线路的改善。在第二个实验中，这种反应是由社区间功能的巨大初始差异所推动的，当表现最好的社区在元社区中“固定”时，这种反应就停止了。我们的结果与育种理论的基本预期一致，指出了群落水平选择实验的一些局限性，这可以为未来研究的设计提供信息。
Artificial selection is a promising approach to manipulate microbial communities. Here, we report the outcome of two artificial selection experiments at the microbial community level. Both used “propagule” selection strategies, whereby the best-performing communities are used as the inocula to form a new generation of communities. Both experiments were contrasted to a random selection control. The first experiment used a defined set of strains as the starting inoculum, and the function under selection was the amylolytic activity of the consortia. The second experiment used multiple soil communities as the starting inocula, and the function under selection was the communities’ cross-feeding potential. In both experiments, the selected communities reached a higher mean function than the control. In the first experiment this was caused by a decline in function of the control, rather than an improvement of the selected line. In the second experiment, this response was fueled by the large initial variance in function across communities, and stopped when the top-performing community “fixed” in the metacommunity. Our results are in agreement with basic expectations from breeding theory, pointing to some of the limitations of community-level selection experiments which can inform the design of future studies.
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