Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping
Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and funct...
Ausführliche Beschreibung
Autor*in: |
Zhu, Xuli [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016transfer abstract |
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Schlagwörter: |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory - Dutta, Nalok ELSEVIER, 2022, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:32 ; year:2016 ; number:5 ; pages:256-268 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.tig.2016.02.004 |
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ELV040007480 |
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10.1016/j.tig.2016.02.004 doi GBV00000000000145A.pica (DE-627)ELV040007480 (ELSEVIER)S0168-9525(16)00028-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 333.7 VZ 43.00 bkl Zhu, Xuli verfasserin aut Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. game theory Elsevier functional mapping Elsevier quantitative trait loci Elsevier differential equations Elsevier Jiang, Libo oth Ye, Meixia oth Sun, Lidan oth Gragnoli, Claudia oth Wu, Rongling oth Enthalten in Elsevier Science Dutta, Nalok ELSEVIER Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory 2022 Amsterdam [u.a.] (DE-627)ELV00781545X volume:32 year:2016 number:5 pages:256-268 extent:13 https://doi.org/10.1016/j.tig.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 32 2016 5 256-268 13 045F 570 |
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10.1016/j.tig.2016.02.004 doi GBV00000000000145A.pica (DE-627)ELV040007480 (ELSEVIER)S0168-9525(16)00028-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 333.7 VZ 43.00 bkl Zhu, Xuli verfasserin aut Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. game theory Elsevier functional mapping Elsevier quantitative trait loci Elsevier differential equations Elsevier Jiang, Libo oth Ye, Meixia oth Sun, Lidan oth Gragnoli, Claudia oth Wu, Rongling oth Enthalten in Elsevier Science Dutta, Nalok ELSEVIER Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory 2022 Amsterdam [u.a.] (DE-627)ELV00781545X volume:32 year:2016 number:5 pages:256-268 extent:13 https://doi.org/10.1016/j.tig.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 32 2016 5 256-268 13 045F 570 |
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10.1016/j.tig.2016.02.004 doi GBV00000000000145A.pica (DE-627)ELV040007480 (ELSEVIER)S0168-9525(16)00028-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 333.7 VZ 43.00 bkl Zhu, Xuli verfasserin aut Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. game theory Elsevier functional mapping Elsevier quantitative trait loci Elsevier differential equations Elsevier Jiang, Libo oth Ye, Meixia oth Sun, Lidan oth Gragnoli, Claudia oth Wu, Rongling oth Enthalten in Elsevier Science Dutta, Nalok ELSEVIER Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory 2022 Amsterdam [u.a.] (DE-627)ELV00781545X volume:32 year:2016 number:5 pages:256-268 extent:13 https://doi.org/10.1016/j.tig.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 32 2016 5 256-268 13 045F 570 |
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Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping |
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Zhu, Xuli |
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Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory |
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Degrading chlorinated aliphatics by reductive dechlorination of groundwater samples from the Santa Susana Field Laboratory |
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Zhu, Xuli |
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Zhu, Xuli |
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10.1016/j.tig.2016.02.004 |
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integrating evolutionary game theory into mechanistic genotype–phenotype mapping |
title_auth |
Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping |
abstract |
Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. |
abstractGer |
Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. |
abstract_unstemmed |
Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. |
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title_short |
Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping |
url |
https://doi.org/10.1016/j.tig.2016.02.004 |
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Jiang, Libo Ye, Meixia Sun, Lidan Gragnoli, Claudia Wu, Rongling |
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Jiang, Libo Ye, Meixia Sun, Lidan Gragnoli, Claudia Wu, Rongling |
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