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Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution
Yu-Fei Yang, Wenqing Cao, Shaohuan Wu, and Wenfeng Qian
Molecular Biology and Evolution
Abstract
Although it is generally accepted that eukaryotic gene order is not random, the basic principles of gene arrangement on a chromosome remain poorly understood. Here, we extended existing population genetics theories that were based on two-locus models and proposed a hypothesis that genetic interaction networks drive the evolution of eukaryotic gene order. We predicted that genes with positive epistasis would move toward each other in evolution, during which a negative correlation between epistasis and gene distance formed. We tested and confirmed our prediction with computational simulations and empirical data analyses. Importantly, we demonstrated that gene order in the budding yeast could be successfully predicted from the genetic interaction network. Taken together, our study reveals the role of the genetic interaction network in the evolution of gene order, extends our understanding of the encoding principles in genomes, and potentially offers new strategies to improve synthetic biology.
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论文编号: |
DOI:10.1093/molbev/msx264 |
论文题目: |
Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution |
英文论文题目: |
Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution |
第一作者: |
Yu-Fei Yang, Wenqing Cao, Shaohuan Wu, and Wenfeng Qian |
英文第一作者: |
Yu-Fei Yang, Wenqing Cao, Shaohuan Wu, and Wenfeng Qian |
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2017-10-11 |
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摘要: |
Although it is generally accepted that eukaryotic gene order is not random, the basic principles of gene arrangement on a chromosome remain poorly understood. Here, we extended existing population genetics theories that were based on two-locus models and proposed a hypothesis that genetic interaction networks drive the evolution of eukaryotic gene order. We predicted that genes with positive epistasis would move toward each other in evolution, during which a negative correlation between epistasis and gene distance formed. We tested and confirmed our prediction with computational simulations and empirical data analyses. Importantly, we demonstrated that gene order in the budding yeast could be successfully predicted from the genetic interaction network. Taken together, our study reveals the role of the genetic interaction network in the evolution of gene order, extends our understanding of the encoding principles in genomes, and potentially offers new strategies to improve synthetic biology. |
英文摘要: |
Although it is generally accepted that eukaryotic gene order is not random, the basic principles of gene arrangement on a chromosome remain poorly understood. Here, we extended existing population genetics theories that were based on two-locus models and proposed a hypothesis that genetic interaction networks drive the evolution of eukaryotic gene order. We predicted that genes with positive epistasis would move toward each other in evolution, during which a negative correlation between epistasis and gene distance formed. We tested and confirmed our prediction with computational simulations and empirical data analyses. Importantly, we demonstrated that gene order in the budding yeast could be successfully predicted from the genetic interaction network. Taken together, our study reveals the role of the genetic interaction network in the evolution of gene order, extends our understanding of the encoding principles in genomes, and potentially offers new strategies to improve synthetic biology. |
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Molecular Biology and Evolution |
英文刊物名称: |
Molecular Biology and Evolution |
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Yufei Yang, Wenqing Cao, Shaohuan Wu, and Wenfeng Qian. Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution. Molecular Biology and Evolution. DOI:10.1093/molbev/msx264 |
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