Xiaoli Chen
Peking University
17 Papers
13 Citations
Xiaoli Chen is an academic researcher from Peking University. The author has contributed to research in topics: Population & Biology. The author has an hindex of 1, co-authored 5 publications.
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Papers
Even allocation of benefits stabilizes microbial community engaged in metabolic division of labor
Miaoxiao Wang,Xiaoli Chen,Xiaonan Liu,Yuan Fang,Xin Zheng,Ting Huang,Yue-Qin Tang,Yong Nie,Xiao-Lei Wu +8 more
TL;DR: Zhang et al. as mentioned in this paper investigated the assembly of the community engaged in metabolic division of labor (MDOL) and derived a simple rule: to maintain coexistence of the MDOL members, the populations responsible for former steps should hold a growth advantage (m) over the private benefit (n) of the population responsible for last step, and the steady-state frequency of the last population is determined by the quotient of n and m.
The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities.
Miaoxiao Wang,Xiaoli Chen,Yuan Fang,Xin Zheng,Ting Huang,Yong Nie,Xiao-Lei Wu +6 more
TL;DR: This study deconstructed the naphthalene degradation pathway into four steps and introduced them individually or combinatorically into different strains with varying levels of metabolic specialization and found that 74 consortia exhibited higher degradation function than both the autonomous population and rigorous MDOL consortium.
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Substrate traits govern the assembly and spatial organization of microbial community engaged in metabolic division of labor
TL;DR: The results demonstrate that the structure of the microbial communities can be quantitatively predicted from simple environmental factors, such as substrate concentration and its toxicity, which provides novel perspectives on understanding the assembly of natural communities, as well as insights into how to manage artificial microbial systems.
Assembly of Microbial Communities Engaging in Metabolic Division of Labor in a Diffusion-Limited Environment Is Governed by Metabolic Flux.
TL;DR: In this article , the authors investigated how MDOL communities assemble in a diffusion-limited environment, by combining mathematical modeling with experimental inquiry using a synthetic consortium engaged in metabolic division of labor (MDOL), and they showed that in a diffusively confined environment, metabolic flux constitutes a determining factor in the assembly of the MDOL community.
3
Keystone taxa responsible for the microbial community stability and performance of activated sludges
TL;DR: In this article , the authors performed a large-scale network analysis of the microbial communities residing in 1186 activated sludge (AS) samples and identified the keystone taxa that maintain the stability of microbial communities in the AS systems but at the cost of reducing their function.