The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform

Daniel Segre - One of the best experts on this subject based on the ideXlab platform.

  • costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
    Nature Communications, 2019
    Co-Authors: Alan R Pacheco, Mauricio Moel, Daniel Segre
    Abstract:

    We thank Dr. Niels Klitgord for pioneering ideas that inspired launch of this work. We are also grateful to David Bernstein, Joshua E. Goldford, Meghan Thommes, Demetrius DiMucci, and all members of the Segre Lab for helpful discussions. A.R.P. is supported by a National Academies of Sciences, Engineering, and Medicine Ford Foundation Predoctoral Fellowship and a Howard Hughes Medical Institute Gilliam Fellowship. This work was supported by funding from the Defense Advanced Research Projects Agency (Purchase Request no. HR0011515303, contract no. HR0011-15-C-0091), the U.S. Department of Energy (grants DE-SC0004962 and DE-SC0012627), the NIH (grants 5R01DE024468, R01GM121950, and Sub_P30DK036836_PF Howard Hughes Medical Institute Gilliam Fellowship; HR0011515303 - Defense Advanced Research Projects Agency; HR0011-15-C-0091 - Defense Advanced Research Projects Agency; DE-SC0004962 - U.S. Department of Energy; DE-SC0012627 - U.S. Department of Energy; 5R01DE024468 - NIH; R01GM121950 - NIH; Sub_P30DK036836_PF - NIH; 1457695 - National Science Foundation; NSFOCE-BSF 1635070 - National Science Foundation; W911NF-12-1-0390 - MURI Grant; RGP0020/2016 - Human Frontiers Science Program; Boston University Inter-disciplinary Biomedical Research Office)

Alan R Pacheco - One of the best experts on this subject based on the ideXlab platform.

  • costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
    Nature Communications, 2019
    Co-Authors: Alan R Pacheco, Mauricio Moel, Daniel Segre
    Abstract:

    We thank Dr. Niels Klitgord for pioneering ideas that inspired launch of this work. We are also grateful to David Bernstein, Joshua E. Goldford, Meghan Thommes, Demetrius DiMucci, and all members of the Segre Lab for helpful discussions. A.R.P. is supported by a National Academies of Sciences, Engineering, and Medicine Ford Foundation Predoctoral Fellowship and a Howard Hughes Medical Institute Gilliam Fellowship. This work was supported by funding from the Defense Advanced Research Projects Agency (Purchase Request no. HR0011515303, contract no. HR0011-15-C-0091), the U.S. Department of Energy (grants DE-SC0004962 and DE-SC0012627), the NIH (grants 5R01DE024468, R01GM121950, and Sub_P30DK036836_PF Howard Hughes Medical Institute Gilliam Fellowship; HR0011515303 - Defense Advanced Research Projects Agency; HR0011-15-C-0091 - Defense Advanced Research Projects Agency; DE-SC0004962 - U.S. Department of Energy; DE-SC0012627 - U.S. Department of Energy; 5R01DE024468 - NIH; R01GM121950 - NIH; Sub_P30DK036836_PF - NIH; 1457695 - National Science Foundation; NSFOCE-BSF 1635070 - National Science Foundation; W911NF-12-1-0390 - MURI Grant; RGP0020/2016 - Human Frontiers Science Program; Boston University Inter-disciplinary Biomedical Research Office)

Mauricio Moel - One of the best experts on this subject based on the ideXlab platform.

  • costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
    Nature Communications, 2019
    Co-Authors: Alan R Pacheco, Mauricio Moel, Daniel Segre
    Abstract:

    We thank Dr. Niels Klitgord for pioneering ideas that inspired launch of this work. We are also grateful to David Bernstein, Joshua E. Goldford, Meghan Thommes, Demetrius DiMucci, and all members of the Segre Lab for helpful discussions. A.R.P. is supported by a National Academies of Sciences, Engineering, and Medicine Ford Foundation Predoctoral Fellowship and a Howard Hughes Medical Institute Gilliam Fellowship. This work was supported by funding from the Defense Advanced Research Projects Agency (Purchase Request no. HR0011515303, contract no. HR0011-15-C-0091), the U.S. Department of Energy (grants DE-SC0004962 and DE-SC0012627), the NIH (grants 5R01DE024468, R01GM121950, and Sub_P30DK036836_PF Howard Hughes Medical Institute Gilliam Fellowship; HR0011515303 - Defense Advanced Research Projects Agency; HR0011-15-C-0091 - Defense Advanced Research Projects Agency; DE-SC0004962 - U.S. Department of Energy; DE-SC0012627 - U.S. Department of Energy; 5R01DE024468 - NIH; R01GM121950 - NIH; Sub_P30DK036836_PF - NIH; 1457695 - National Science Foundation; NSFOCE-BSF 1635070 - National Science Foundation; W911NF-12-1-0390 - MURI Grant; RGP0020/2016 - Human Frontiers Science Program; Boston University Inter-disciplinary Biomedical Research Office)

Segre Daniel - One of the best experts on this subject based on the ideXlab platform.

  • Costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems
    'Springer Science and Business Media LLC', 2019
    Co-Authors: Pacheco, Alan R., Moel Mauricio, Segre Daniel
    Abstract:

    Metabolic exchange mediates interactions among microbes, helping explain diversity in microbial communities. As these interactions often involve a fitness cost, it is unclear how stable cooperation can emerge. Here we use genome-scale metabolic models to investigate whether the release of “costless” metabolites (i.e. those that cause no fitness cost to the producer), can be a prominent driver of intermicrobial interactions. By performing over 2 million pairwise growth simulations of 24 species in a combinatorial assortment of environments, we identify a large space of metabolites that can be secreted without cost, thus generating ample cross-feeding opportunities. In addition to providing an atlas of putative interactions, we show that anoxic conditions can promote mutualisms by providing more opportunities for exchange of costless metabolites, resulting in an overrepresentation of stable ecological network motifs. These results may help identify interaction patterns in natural communities and inform the design of synthetic microbial consortia.We thank Dr. Niels Klitgord for pioneering ideas that inspired launch of this work. We are also grateful to David Bernstein, Joshua E. Goldford, Meghan Thommes, Demetrius DiMucci, and all members of the Segre Lab for helpful discussions. A.R.P. is supported by a National Academies of Sciences, Engineering, and Medicine Ford Foundation Predoctoral Fellowship and a Howard Hughes Medical Institute Gilliam Fellowship. This work was supported by funding from the Defense Advanced Research Projects Agency (Purchase Request no. HR0011515303, contract no. HR0011-15-C-0091), the U.S. Department of Energy (grants DE-SC0004962 and DE-SC0012627), the NIH (grants 5R01DE024468, R01GM121950, and Sub_P30DK036836_P&F), the National Science Foundation (grants 1457695 and NSFOCE-BSF 1635070), MURI Grant W911NF-12-1-0390, the Human Frontiers Science Program (grant RGP0020/2016), and the Boston University Inter-disciplinary Biomedical Research Office. (National Academies of Sciences, Engineering, and Medicine Ford Foundation Predoctoral Fellowship; Howard Hughes Medical Institute Gilliam Fellowship; HR0011515303 - Defense Advanced Research Projects Agency; HR0011-15-C-0091 - Defense Advanced Research Projects Agency; DE-SC0004962 - U.S. Department of Energy; DE-SC0012627 - U.S. Department of Energy; 5R01DE024468 - NIH; R01GM121950 - NIH; Sub_P30DK036836_PF - NIH; 1457695 - National Science Foundation; NSFOCE-BSF 1635070 - National Science Foundation; W911NF-12-1-0390 - MURI Grant; RGP0020/2016 - Human Frontiers Science Program; Boston University Inter-disciplinary Biomedical Research Office)Published versio

  • Emergent simplicity in microbial community assembly
    'American Association for the Advancement of Science (AAAS)', 2018
    Co-Authors: Goldford, Joshua E., Lu Nanxi, Bajic Djordje, Estrela Sylvie, Tikhonov Mikhail, Sanchez-gorostiaga Alicia, Segre Daniel, Mehta Pankaj, Sanchez Alvaro
    Abstract:

    Published in final edited form as: Science. 2018 August 03; 361(6401): 469–474. doi:10.1126/science.aat1168.A major unresolved question in microbiome research is whether the complex taxonomic architectures observed in surveys of natural communities can be explained and predicted by fundamental, quantitative principles. Bridging theory and experiment is hampered by the multiplicity of ecological processes that simultaneously affect community assembly in natural ecosystems. We addressed this challenge by monitoring the assembly of hundreds of soil- and plant-derived microbiomes in well-controlled minimal synthetic media. Both the community-level function and the coarse-grained taxonomy of the resulting communities are highly predictable and governed by nutrient availability, despite substantial species variability. By generalizing classical ecological models to include widespread nonspecific cross-feeding, we show that these features are all emergent properties of the assembly of large microbial communities, explaining their ubiquity in natural microbiomes.The funding for this work partly results from a Scialog Program sponsored jointly by the Research Corporation, for Science Advancement and. the Gordon and Betty Moore Foundation through grants to Yale University and Boston University by the Research Corporation and by the Simons Foundation. This work was also supported by a young; investigator award from the Human Frontier Science Program to A.S. (RGY0077/2016) and by NIH NIGMS grant 1R35GM119461 and a Simons Investigator as in the Mathematical Modeling of Living Systems (MMLS) to P.M.; D.S. and J.E.G. additionally acknowledge funding from the Defense Advanced Research Projects Agency (Purchase Request no. HR0011515303, contract no.. HR0011-15-0-0091), the U.S. Department of Energy (DE-SC0012627), the NIH (T32GM100842, 5R01DE024468, R01GM121950, and Sub_P30DK036836_P&F), the National Science Foundation (1457695), the Human Frontier Science Program (RGP0020/2016) and the Boston University Interdisciplinary Biomedical Research Office. (Research Corporation, for Science Advancement; Gordon and Betty Moore Foundation; Boston University by the Research Corporation; Simons Foundation.; RGY0077/2016 - uman Frontier Science Program; 1R35GM119461 - NIH NIGMS grant; Simons Investigator as in the Mathematical Modeling of Living Systems (MMLS); HR0011515303 - Defense Advanced Research Projects Agency; HR0011-15-0-0091 - Defense Advanced Research Projects Agency; T32GM100842 - NIH; 5R01DE024468 - NIH; R01GM121950 - NIH; ub_P30DK036836 - NIH; 1457695 - National Science Foundation; RGP0020/2016 - Human Frontier Science Program; Boston University Interdisciplinary Biomedical Research Office)Accepted manuscrip

Veroline Cauberghe - One of the best experts on this subject based on the ideXlab platform.

  • advertising literacy training the immediate versus delayed effects on children s responses to product placement
    European Journal of Marketing, 2017
    Co-Authors: Steffi De Jans, Liselot Hudders, Veroline Cauberghe
    Abstract:

    This paper aims to examine the immediate and delayed effects of advertising literacy training on children’s cognitive advertising literacy for an embedded advertising format, product placement and, subsequently, its persuasive effects. In addition, this study explored whether this effect is moderated by children’s general advertising liking. The study also investigated whether the effects of training were dependent on children’s ages.,The present study is conducted using a three (training session: control condition vs advertising literacy training with immediate ad exposure vs advertising literacy training with ad exposure after one week) by two (age: 7-8 years vs 10-11 years) between-subjects experimental design.,The results of the experimental study showed that advertising literacy training increases children’s cognitive advertising literacy for product placement for both younger and older children and both immediately and delayed (measured after one week). In addition, cognitive advertising literacy had an influence on the effectiveness of product placement (i.e. Purchase Request) when children’s general ad liking was low, though not when it was high. No moderating effects of age were found.,This study shows that advertising literacy training sessions can improve children’s cognitive advertising literacy for non-traditional, embedded advertising formats.,This study is one of the first to examine and confirm the immediate and delayed effects of advertising literacy training sessions on children’s cognitive advertising literacy for non-traditional advertising formats.

  • how advertising literacy training affect children s responses to television commercials versus advergames
    International Journal of Advertising, 2016
    Co-Authors: Liselot Hudders, Veroline Cauberghe, Katarina Panic
    Abstract:

    This study examined children's advertising literacy level for traditional versus embedded advertising formats by comparing their cognitive and affective advertising literacy level for television commercials vs. advergames. The study also explored how cognitive and affective advertising literacy further attenuate advertising effects by investigating the mediation impact of cognitive and affective advertising literacy on the relation between the ad's format and the Purchase Request. Third, the study investigated how an advertising literacy training session moderates these effects.The results of this experimental study showed that advergames lead to a higher Purchase Request rate among children than television commercials. However, only affective but not cognitive advertising literacy mediated the effect of the advertising format on Purchase Request. In addition, a training session was shown to accelerate children's cognitive (but not their affective) advertising literacy for advergames, but not for televisi...