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8 results for “C4 model”
Architecture of the healthcare ecosystem for caregivers in C4 Model
<p>The healthcare ecosystem for caregivers is focused on supporting the learning and knowledge management processes to develop and enhance the caregiving competences both at home and in care environments of formal and informal caregivers (García-Holgado, Marcos-Pablos & García-Peñalvo, 2019).</p> <p>This model is part of a paper accepted in UCAmI2019: 13th International Conference on Ubiquitous Computing and Ambient Intelligence (Vázquez-Ingelmo, García-Holgado, García-Peñalvo & Therón, 2019).</p> <p> </p> <p>García-Holgado, A., Marcos-Pablos, S., & García-Peñalvo, F. J. (2019). A Model to Define an eHealth Technological Ecosystem for Caregivers. In Á. Rocha, H. Adeli, L. Reis, & S. Costanzo (Eds.), New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing (Vol. 932, pp. 422-432). Cham: Springer.</p> <p>Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., & Therón, R. (2019). Dashboard metamodel for knowledge management in technological ecosystem: a case study in healthcare. In press.</p>
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
The role of chloroplast movement in C4 photosynthesis: A theoretical analysis using a 3-D reaction-diffusion model for maize
<p>Chloroplast movement within mesophyll (M) cells in C<sub>4</sub> plants is hypothesized to enhance the CO<sub>2</sub> concentrating mechanism (CCM), but this is difficult to verify experimentally. A three-dimensional (3-D) leaf model can help analyze how chloroplast movement influences the operation of CCM. The first volumetric reaction-diffusion model of C<sub>4</sub> photosynthesis that incorporates: detailed 3-D leaf anatomy, light propagation, ATP and NADPH production and CO<sub>2</sub>, O<sub>2</sub> and bicarbonate concentration driven by diffusional and assimilation/emission processes, was developed and implemented for maize leaves to simulate various chloroplast movement scenarios within M cells: the movement of all M chloroplasts towards bundle-sheath (BS) cells (aggregative movement) and movement of only those of interveinal M cells towards BS cells (avoidance movement). Light absorbed by bundle-sheath (BS) chloroplasts relative to M chloroplasts increased in both cases. Avoidance movement decreased light absorption by M chloroplasts considerably. Consequently, total ATP and NADPH production and net photosynthesis rate increased for aggregative movement and decreased for avoidance movement case compared to the default case of no chloroplast movement at high light intensities. Leakiness increased in both chloroplast movement scenarios due to the imbalance in energy production and demand in M and BS cells. These results suggest the need to design strategies for coordinated increases in electron transport and Rubisco activities for an efficient CCM at very high light intensities.</p>
The role of chloroplast movement in C4 photosynthesis: A theoretical analysis using a 3-D reaction-diffusion model for maize
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Data from: Exploring the possible role of hybridization in the evolution of photosynthetic pathways in Flaveria (Asteraceae), the prime model of C4 photosynthesis evolution
<p><em>Flaveria</em> (Asteraceae) is the prime model for the study of C<sub>4</sub> photosynthesis evolution and seems to support a stepwise acquisition of the pathway through C<sub>3</sub>-C<sub>4</sub> intermediate phenotypes, still existing in <em>Flaveria</em> today. Molecular phylogenies of <em>Flaveria</em> based on concatenated data matrices are currently used to reconstruct the complex sequence of trait shifts during C<sub>4</sub> evolution. To assess the possible role of hybridization in C<sub>4</sub> evolution in <em>Flaveria</em>, we re-analyzed transcriptome data of 17 <em>Flaveria</em> species to infer the extent of gene tree discordance and possible reticulation events. We found massive gene tree discordance as well as reticulation along the backbone and within clades containing C<sub>3</sub>-C<sub>4</sub> intermediate and C<sub>4</sub>-like species. An early hybridization event between two C<sub>3</sub> species might have triggered C<sub>4 </sub>evolution in the genus. The clade containing all C<sub>4</sub> species plus the C<sub>4</sub>-like species F. vaginata and<em> F. palmeri </em>is highly supported in our phylogenetic analyses, but it might be of hybrid origin involving <em>F. angustifolia</em> and<em> F. sonorensis</em> (both C<sub>3</sub>-C<sub>4</sub> intermediate) as parental lineages. Hybridization seems to be a driver of C<sub>4</sub> evolution in<em> Flaveria</em> and likely promoted the fast acquisition of C<sub>4</sub> traits. This new insight can be used in further exploring C<sub>4</sub> evolution and can inform C<sub>4</sub> bioengineering efforts.</p>
Data from: Exploring the possible role of hybridization in the evolution of photosynthetic pathways in Flaveria (Asteraceae), the prime model of C4 photosynthesis evolution
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Table of C4 model equations used to explore the effect of irradiance, CO2 and temperature on C4 photosynthesis
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High Light and High Temperature Reduce Photosynthetic Efficiency via Different Mechanisms in the C4 Model Setaria viridis
GEO Series GSE178320. Setaria viridis. 40 samples. Type: Expression profiling by high throughput sequencing.
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OpenNeuro
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