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Variation in the life history strategy underlies functional diversity of tumors

National Science Review 2021年第2期8卷 32-42页

作者： Tao Li Jialin Liu Jing Feng Zhenzhen Liu Sixue Liu Minjie Zhang Yuezheng Zhang Yali Hou Dafei Wu Chunyan Li Yongbin Chen Hua Chen Xuemei Lu State Key Laboratory of Genetic Resources and Evolution Kunming Institute of ZoologyChinese Academy of Sciences CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine and Engineering and Key Laboratory of Big Data-Based Precision Medicine(Ministry of Industry and Information Technology)Beihang University Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of Zoology

Classical r-vs. K-selection theory describes the trade-offs between high reproductive output and competitiveness and guides research in evolutionary ecology. While its impact has waned in the recent past,cancer evolution may rekindle it. Herein, we impose r-or K-selection on cancer cell lines to obtain strongly proliferative r cells and highly competitive K cells to test ideas on life-history strategy evolution. RNA-seq indicates that the trade-offs are associated with distinct expression of genes involved in the cell cycle,adhesion, apoptosis, and contact inhibition. Both empirical observations and simulations based on an ecological competition model show that the trade-off between cell proliferation and competitiveness can evolve adaptively. When the r and K cells are mixed, they exhibit strikingly different spatial and temporal distributions. Due to this niche separation, the fitness of the entire tumor increases. The contrasting selective pressure may operate in a realistic ecological setting of actual tumors.

关键词： density-dependent selection trade-offs cancer cell phenotypic diversity competition

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