The Experts below are selected from a list of 66261 Experts worldwide ranked by ideXlab platform
Jieqiang Zhou - One of the best experts on this subject based on the ideXlab platform.
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the Genetic Architecture for phenotypic plasticity of the rice grain ionome
Frontiers in Plant Science, 2020Co-Authors: Jieqiang Zhou, Jiurong WangAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome in a rice diversity panel that was grown in up to eight environments. We found that a considerable proportion of the ionome variance can be attributed to the phenotypic plasticity, which is under Genetic control. A significant correlation between the mean phenotype and the phenotypic plasticity was detected. However, the Genetic Architecture for the mean phenotype was largely distinct from those for phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to the phenotypic plasticity also explained a considerable proportion of the phenotypic variance in some environments, especially for the elements Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
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The Genetic Architecture for Phenotypic Plasticity of the Rice Grain Ionome.
Frontiers in plant science, 2020Co-Authors: Yongjun Tan, Jieqiang Zhou, Jiurong Wang, Liang SunAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome of a rice diversity panel in up to eight environments. A considerable proportion of phenotypic variance can be attributed to phenotypic plasticity. Then, phenotypic plasticity and mean phenotype were quantified using Bayesian Finlay-Wilkinson regression, and a significant correlation between them was observed. However, the Genetic Architecture of mean phenotype was distinct from that of phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to phenotypic plasticity can explain a considerable proportion of the phenotypic variance in some environments, especially for Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci which related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
Jiurong Wang - One of the best experts on this subject based on the ideXlab platform.
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the Genetic Architecture for phenotypic plasticity of the rice grain ionome
Frontiers in Plant Science, 2020Co-Authors: Jieqiang Zhou, Jiurong WangAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome in a rice diversity panel that was grown in up to eight environments. We found that a considerable proportion of the ionome variance can be attributed to the phenotypic plasticity, which is under Genetic control. A significant correlation between the mean phenotype and the phenotypic plasticity was detected. However, the Genetic Architecture for the mean phenotype was largely distinct from those for phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to the phenotypic plasticity also explained a considerable proportion of the phenotypic variance in some environments, especially for the elements Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
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The Genetic Architecture for Phenotypic Plasticity of the Rice Grain Ionome.
Frontiers in plant science, 2020Co-Authors: Yongjun Tan, Jieqiang Zhou, Jiurong Wang, Liang SunAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome of a rice diversity panel in up to eight environments. A considerable proportion of phenotypic variance can be attributed to phenotypic plasticity. Then, phenotypic plasticity and mean phenotype were quantified using Bayesian Finlay-Wilkinson regression, and a significant correlation between them was observed. However, the Genetic Architecture of mean phenotype was distinct from that of phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to phenotypic plasticity can explain a considerable proportion of the phenotypic variance in some environments, especially for Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci which related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
Liang Sun - One of the best experts on this subject based on the ideXlab platform.
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The Genetic Architecture for Phenotypic Plasticity of the Rice Grain Ionome.
Frontiers in plant science, 2020Co-Authors: Yongjun Tan, Jieqiang Zhou, Jiurong Wang, Liang SunAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome of a rice diversity panel in up to eight environments. A considerable proportion of phenotypic variance can be attributed to phenotypic plasticity. Then, phenotypic plasticity and mean phenotype were quantified using Bayesian Finlay-Wilkinson regression, and a significant correlation between them was observed. However, the Genetic Architecture of mean phenotype was distinct from that of phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to phenotypic plasticity can explain a considerable proportion of the phenotypic variance in some environments, especially for Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci which related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
Yongjun Tan - One of the best experts on this subject based on the ideXlab platform.
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The Genetic Architecture for Phenotypic Plasticity of the Rice Grain Ionome.
Frontiers in plant science, 2020Co-Authors: Yongjun Tan, Jieqiang Zhou, Jiurong Wang, Liang SunAbstract:The ionome of the rice grain is crucial for the health of populations that consume rice as a staple food. However, the contribution of phenotypic plasticity to the variation of rice grain ionome and the Genetic Architecture of phenotypic plasticity are poorly understood. In this study, we investigated the rice grain ionome of a rice diversity panel in up to eight environments. A considerable proportion of phenotypic variance can be attributed to phenotypic plasticity. Then, phenotypic plasticity and mean phenotype were quantified using Bayesian Finlay-Wilkinson regression, and a significant correlation between them was observed. However, the Genetic Architecture of mean phenotype was distinct from that of phenotypic plasticity. Also, the correlation between them was mainly attributed to the phenotypic divergence between rice subspecies. Furthermore, the results of whole-genome regression analysis showed that the Genetic loci related to phenotypic plasticity can explain a considerable proportion of the phenotypic variance in some environments, especially for Cd, Cu, Mn, and Zn. Our study not only sheds light on the Genetic Architecture of phenotypic plasticity of the rice grain ionome but also suggests that the Genetic loci which related to phenotypic plasticity are valuable in rice grain ionome improvement breeding.
Michael C Whitlock - One of the best experts on this subject based on the ideXlab platform.
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the Genetic Architecture of adaptation under migration selection balance
Evolution, 2011Co-Authors: Sam Yeaman, Michael C WhitlockAbstract:Many ecologically important traits have a complex Genetic basis, with the potential for mutations at many different genes to shape the phenotype. Even so, studies of local adaptation in heterogeneous environments sometimes find that just a few quantitative trait loci (QTL) of large effect can explain a large percentage of observed differences between phenotypically divergent populations. As high levels of gene flow can swamp divergence at weakly selected alleles, migration–selection–drift balance may play an important role in shaping the Genetic Architecture of local adaptation. Here, we use analytical approximations and individual-based simulations to explore how Genetic Architecture evolves when two populations connected by migration experience stabilizing selection toward different optima. In contrast to the exponential distribution of allele effect sizes expected under adaptation without migration (Orr 1998), we find that adaptation with migration tends to result in concentrated Genetic Architectures with fewer, larger, and more tightly linked divergent alleles. Even if many small alleles contribute to adaptation at the outset, they tend to be replaced by a few large alleles under prolonged bouts of stabilizing selection with migration. All else being equal, we also find that stronger selection can maintain linked clusters of locally adapted alleles over much greater map distances than weaker selection. The common empirical finding of QTL of large effect is shown to be expected with migration in a heterogeneous landscape, and these QTL may often be composed of several tightly linked alleles of smaller effect.
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THE Genetic Architecture OF ADAPTATION UNDER MIGRATION–SELECTION BALANCE
Evolution; international journal of organic evolution, 2011Co-Authors: Sam Yeaman, Michael C WhitlockAbstract:Many ecologically important traits have a complex Genetic basis, with the potential for mutations at many different genes to shape the phenotype. Even so, studies of local adaptation in heterogeneous environments sometimes find that just a few quantitative trait loci (QTL) of large effect can explain a large percentage of observed differences between phenotypically divergent populations. As high levels of gene flow can swamp divergence at weakly selected alleles, migration-selection-drift balance may play an important role in shaping the Genetic Architecture of local adaptation. Here, we use analytical approximations and individual-based simulations to explore how Genetic Architecture evolves when two populations connected by migration experience stabilizing selection toward different optima. In contrast to the exponential distribution of allele effect sizes expected under adaptation without migration (Orr 1998), we find that adaptation with migration tends to result in concentrated Genetic Architectures with fewer, larger, and more tightly linked divergent alleles. Even if many small alleles contribute to adaptation at the outset, they tend to be replaced by a few large alleles under prolonged bouts of stabilizing selection with migration. All else being equal, we also find that stronger selection can maintain linked clusters of locally adapted alleles over much greater map distances than weaker selection. The common empirical finding of QTL of large effect is shown to be expected with migration in a heterogeneous landscape, and these QTL may often be composed of several tightly linked alleles of smaller effect.