Neutral and selective dynamics in a synthetic microbial community.
Neutral and selective dynamics in a synthetic microbial community.
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DOI：
10.1073/pnas.1808118115
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发表时间：
2018-10-16
影响因子：
11.1
通讯作者：
Quake SR
中科院分区：
文献类型：
--
作者：
Cira NJ;Pearce MT;Quake SR
我们创建了一个合成微生物群落，以帮助了解进化和选择压力如何改变生态系统的物种多样性。我们的研究结果表明，有一个明确的过渡之间的中立和选择性的制度，这取决于移民的速度以及健身的差异。生态学家争论选择性与中性过程在理解生物多样性方面的相对重要性。这场辩论与微生物群落特别相关，微生物群落在健康，疾病，工业和环境等领域发挥着关键作用。在这里，我们使用可遗传的遗传条形码创建了一个合成的微生物群落，并在移民的重复传代培养中跟踪了群落组成。与理论一致，我们发现存在一个过渡之间的中性和选择性制度，和交叉点取决于移民的比例和适应度差异的大小。中性模型预测随着承载能力的增加，多样性增加，而我们的选择性模型预测多样性减少。随着承载能力的增加，这里的社区失去了多样性，强调使用正确的模型对于预测社区对变化的反应至关重要。总之，这些结果强调，包括选择，以获得现实的模型，即使是简单的系统的重要性。
We created a synthetic microbial community to help understand how evolution and selection pressure change the species diversity of an ecosystem. Our results show that there is a clear transition between neutral and selective regimes that depends on the rate of immigration as well as the fitness differences. Ecologists debate the relative importance of selective vs. neutral processes in understanding biodiversity. This debate is especially pertinent to microbial communities, which play crucial roles in areas such as health, disease, industry, and the environment. Here, we created a synthetic microbial community using heritable genetic barcodes and tracked community composition over repeated rounds of subculture with immigration. Consistent with theory, we find a transition exists between neutral and selective regimes, and the crossover point depends on the fraction of immigrants and the magnitude of fitness differences. Neutral models predict an increase in diversity with increased carrying capacity, while our selective model predicts a decrease in diversity. The community here lost diversity with an increase in carrying capacity, highlighting that using the correct model is essential for predicting community response to change. Together, these results emphasize the importance of including selection to obtain realistic models of even simple systems.
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