Cooperation in microbial communities and their biotechnological applications.
Cooperation in microbial communities and their biotechnological applications.
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微生物群落及其生物技术应用的合作。
DOI：
10.1111/1462-2920.13767
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发表时间：
2017-08
影响因子：
5.1
通讯作者：
Jiménez JI
中科院分区：
文献类型：
--
作者：
Cavaliere M;Feng S;Soyer OS;Jiménez JI
微生物群落越来越多地用于生物技术。许多这些应用程序的效率和生产力取决于社区成员之间的合作互动。这些相互作用背后的两个关键过程是公共产品的生产和代谢交叉喂养，这可以在生态和进化（eco-evo）动力学的一般框架中理解。在这篇综述中，我们说明了微生物生物技术过程中的合作相互作用的相关性，讨论了它们的机制起源，并分析了它们的进化弹性。合作行为可能会被“作弊”细胞的出现所破坏，这些细胞从合作互动中受益，但不会对它们做出贡献。尽管如此，合作的相互作用可以通过空间隔离，通过进化动力学和社区生态之间的反馈，通过与环境条件相结合的调节系统的作用和水平基因转移的作用来稳定。协同相互作用丰富了微生物群落，使其对环境压力具有更高程度的鲁棒性，并可以促进更复杂性状的进化。因此，应考虑微生物群落的进化弹性及其限制有害突变体的能力，以设计稳健的生物技术应用。
Microbial communities are increasingly utilized in biotechnology. Efficiency and productivity in many of these applications depends on the presence of cooperative interactions between members of the community. Two key processes underlying these interactions are the production of public goods and metabolic cross‐feeding, which can be understood in the general framework of ecological and evolutionary (eco‐evo) dynamics. In this review, we illustrate the relevance of cooperative interactions in microbial biotechnological processes, discuss their mechanistic origins and analyse their evolutionary resilience. Cooperative behaviours can be damaged by the emergence of ‘cheating’ cells that benefit from the cooperative interactions but do not contribute to them. Despite this, cooperative interactions can be stabilized by spatial segregation, by the presence of feedbacks between the evolutionary dynamics and the ecology of the community, by the role of regulatory systems coupled to the environmental conditions and by the action of horizontal gene transfer. Cooperative interactions enrich microbial communities with a higher degree of robustness against environmental stress and can facilitate the evolution of more complex traits. Therefore, the evolutionary resilience of microbial communities and their ability to constraint detrimental mutants should be considered to design robust biotechnological applications.
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影响因子：
6.4
作者：
Carlquist M;Fernandes RL;Helmark S;Heins AL;Lundin L;Sørensen SJ;Gernaey KV;Lantz AE
通讯作者：
Lantz AE
影响因子：
8.8
作者：
Allison, SD
通讯作者：
Allison, SD
DOI：
10.1073/pnas.1308523110
发表时间：
2013-08-27
影响因子：
11.1
作者：
Bachmann, Herwig;Fischlechner, Martin;Teusink, Bas
通讯作者：
Teusink, Bas
影响因子：
56.9
作者：
BICKEL, PJ;HAMMEL, EA;OCONNELL, JW
通讯作者：
OCONNELL, JW
影响因子：
4.1
作者：
Enfors, SO;Jahic, M;Manelius, Å
通讯作者：
Manelius, Å