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Los cultivos modificados genéticamente no son más alergénicos que sus contrapartidas no modificadas
En esta reseña, los autores detallan los diversos pasos en el desarrollo de un transgénico en los que se tiene en cuenta el potencial alergénico.
Además, realizan una reseña sistemática de los trabajos sobre el tema.
Los datos muestran que los cultivos modificados genéticamente no son más alergénicos que sus contrapartidas no modificadas. Tampoco se encontraron evidencias de alergenicidad en individuos que no son alérgicos al alimento convencional.
Evaluation of Reference Genes and Expression Level of Genes Potentially Involved in the Mode of Action of Cry1Ac and Cry1F in a Susceptible Reference Strain of Chrysodeixis includens
Elucidating SNP-based genetic diversity and population structure of advanced breeding lines of bread wheat ( Triticum aestivum L . )
Unraveling individual host-guest interactions in molecular recognition from first principles quantum mechanics: Insights into the nature of nicotinic acetylcholine receptor agonist binding
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8147822
29SHYXR4
1
apa
50
date
desc
11960
https://aclatam.cropscience.bayer.com/wp-content/plugins/zotpress/
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Lansbergen, B., Meister, C. S., & McLeod, M. C. (2021). Unexpected rearrangements and a novel synthesis of 1,1-dichloro-1-alkenones from 1,1,1-trifluoroalkanones with aluminium trichloride. Beilstein Journal of Organic Chemistry, 17, 404–409. https://doi.org/10.3762/bjoc.17.36
Sharma, D., Karre, A. V., & Valsaraj, K. T. (2021). Evaluations of the capacity of an existing brine system and estimation of salt loading profile for increased soft water demand to avoid soil contamination. The Canadian Journal of Chemical Engineering, cjce.23937. https://doi.org/10.1002/cjce.23937
Meskhidze, N., Sutherland, B., Ling, X., Dawson, K., Johnson, M. S., Henderson, B., Hostetler, C. A., & Ferrare, R. A. (2021). Improving estimates of PM2.5 concentration and chemical composition by application of High Spectral Resolution Lidar (HSRL) and Creating Aerosol Types from chemistry (CATCH) algorithm. Atmospheric Environment, 250, 118250. https://doi.org/10.1016/j.atmosenv.2021.118250
Marin Zapata, P. A., Roth, S., Schmutzler, D., Wolf, T., Manesso, E., & Clevert, D.-A. (2020). Self-supervised feature extraction from image time series in plant phenotyping using triplet networks. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btaa905
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Aumer, T., Voisin, S. N., Knobloch, T., Landon, C., & Bulet, P. (2020). Impact of an Antifungal Insect Defensin on the Proteome of the Phytopathogenic Fungus Botrytis cinerea. Journal of Proteome Research, 19(3), 1131–1146. https://doi.org/10.1021/acs.jproteome.9b00638
Bollinger, A., Molitor, R., Thies, S., Koch, R., Coscolín, C., Ferrer, M., & Jaeger, K.-E. (2020). Organic-Solvent-Tolerant Carboxylic Ester Hydrolases for Organic Synthesis. Applied and Environmental Microbiology, 86(9), e00106-20, /aem/86/9/AEM.00106-20.atom. https://doi.org/10.1128/AEM.00106-20
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Kim, J. H., Lagojda, A., Kuehne, D., Tshitenge, D. T., Chaudhuri, S., Walker, D. P., & Head, G. (2020). Determination of Cotton as a Larval Feeding Source for Lepidopteran Moths Using a Derivative from Cotton Metabolites as a Marker by LC-MS/MS Method. Journal of Chemical Ecology, 46(10), 956–966. https://doi.org/10.1007/s10886-020-01219-w
Daws, S. C., Cline, L. A., Rotenberry, J., Sadowsky, M. J., Staley, C., Dalzell, B., & Kennedy, P. G. (2020). Do shared traits create the same fates? Examining the link between morphological type and the biogeography of fungal and bacterial communities. Fungal Ecology, 46, 100948. https://doi.org/10.1016/j.funeco.2020.100948
Joshua, J., & Mmbaga, M. T. (2020). Potential Biological Control Agents for Soilborne Fungal Pathogens in Tennessee Snap Bean Farms. HortScience, 55(7), 988–994. https://doi.org/10.21273/HORTSCI14081-19
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Kalske, A., Shiojiri, K., Uesugi, A., Sakata, Y., Morrell, K., & Kessler, A. (2019). Insect Herbivory Selects for Volatile-Mediated Plant-Plant Communication. Current Biology: CB, 29(18), 3128-3133.e3. https://doi.org/10.1016/j.cub.2019.08.011
Piližota, I., Train, C.-M., Altenhoff, A., Redestig, H., & Dessimoz, C. (2019). Phylogenetic approaches to identifying fragments of the same gene, with application to the wheat genome. Bioinformatics (Oxford, England), 35(7), 1159–1166. https://doi.org/10.1093/bioinformatics/bty772
Argueso, C. T., Assmann, S. M., Birnbaum, K. D., Chen, S., Dinneny, J. R., Doherty, C. J., Eveland, A. L., Friesner, J., Greenlee, V. R., Law, J. A., Marshall-Colón, A., Mason, G. A., O’Lexy, R., Peck, S. C., Schmitz, R. J., Song, L., Stern, D., Varagona, M. J., Walley, J. W., & Williams, C. M. (2019). Directions for research and training in plant omics: Big Questions and Big Data. Plant Direct, 3(4), e00133. https://doi.org/10.1002/pld3.133
Thomson, C. J., Barber, D. M., & Dixon, D. J. (2019). One-Pot Catalytic Enantioselective Synthesis of 2-Pyrazolines. Angewandte Chemie (International Ed. in English), 58(8), 2469–2473. https://doi.org/10.1002/anie.201811471
Daghino, S., Di Vietro, L., Petiti, L., Martino, E., Dallabona, C., Lodi, T., & Perotto, S. (2019). Yeast expression of mammalian Onzin and fungal FCR1 suggests ancestral functions of PLAC8 proteins in mitochondrial metabolism and DNA repair. Scientific Reports, 9(1), 6629. https://doi.org/10.1038/s41598-019-43136-3
Kia, S. H., Pallesch, S., Piepenbring, M., & Maciá-Vicente, J. G. (2019). Root endophytic fungi show low levels of interspecific competition in planta. Fungal Ecology, 39, 184–191. https://doi.org/10.1016/j.funeco.2019.02.009
Mebane, C. A., Sumpter, J. P., Fairbrother, A., Augspurger, T. P., Canfield, T. J., Goodfellow, W. L., Guiney, P. D., LeHuray, A., Maltby, L., Mayfield, D. B., McLaughlin, M. J., Ortego, L. S., Schlekat, T., Scroggins, R. P., & Verslycke, T. A. (2019). Scientific integrity issues in Environmental Toxicology and Chemistry: Improving research reproducibility, credibility, and transparency. Integrated Environmental Assessment and Management, 15(3), 320–344. https://doi.org/10.1002/ieam.4119
Wilkinson, M. D., Dumontier, M., Jan Aalbersberg, I., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2019). Erratum: Addendum: The FAIR Guiding Principles for scientific data management and stewardship (Scientific data (2016) 3 (160018)). Scientific Data, 6(1), 6. Scopus. https://doi.org/10/gf3j9x
Vincent, D., Rafiqi, M., & Job, D. (2019). The Multiple Facets of Plant-Fungal Interactions Revealed Through Plant and Fungal Secretomics. Frontiers in Plant Science, 10, 1626. https://doi.org/10.3389/fpls.2019.01626
Eckelmann, D., Kusari, S., & Spiteller, M. (2018). Stable Isotope Labeling of Prodiginines and Serratamolides Produced by Serratia marcescens Directly on Agar and Simultaneous Visualization by Matrix-Assisted Laser Desorption/Ionization Imaging High-Resolution Mass Spectrometry. Analytical Chemistry, 90(22), 13167–13172. https://doi.org/10.1021/acs.analchem.8b03633
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Robin, G. P., Kleemann, J., Neumann, U., Cabre, L., Dallery, J.-F., Lapalu, N., & O’Connell, R. J. (2018). Subcellular Localization Screening of Colletotrichum higginsianum Effector Candidates Identifies Fungal Proteins Targeted to Plant Peroxisomes, Golgi Bodies, and Microtubules. Frontiers in Plant Science, 9, 562. https://doi.org/10.3389/fpls.2018.00562
Nowak, K. M., Telscher, M., Seidel, E., & Miltner, A. (2018). Unraveling microbial turnover and non-extractable residues of bromoxynil in soil microcosms with 13C-isotope probing. Environmental Pollution, 242, 769–777. https://doi.org/10.1016/j.envpol.2018.07.049
Varela, S., Assefa, Y., Vara Prasad, P. V., Peralta, N. R., Griffin, T. W., Sharda, A., Ferguson, A., & Ciampitti, I. A. (2017). Spatio-temporal evaluation of plant height in corn via unmanned aerial systems. Journal of Applied Remote Sensing, 11(03), 1. https://doi.org/10.1117/1.JRS.11.036013
Lee, M.-S., Anderson, E. K., Stojšin, D., McPherson, M. A., Baltazar, B., Horak, M. J., de la Fuente, J. M., Wu, K., Crowley, J. H., Rayburn, A. L., & Lee, D. K. (2017). Assessment of the potential for gene flow from transgenic maize (Zea mays L.) to eastern gamagrass (Tripsacum dactyloides L.). Transgenic Research, 26(4), 501–514. https://doi.org/10.1007/s11248-017-0020-7
Cabrera, A. R., Shirk, P. D., & Teal, P. E. A. (2017). A feeding protocol for delivery of agents to assess development in Varroa mites. PLOS ONE, 12(4), e0176097. https://doi.org/10.1371/journal.pone.0176097
Abts, W., Vandenbussche, B., De Proft, M. P., & Van de Poel, B. (2017). The Role of Auxin-Ethylene Crosstalk in Orchestrating Primary Root Elongation in Sugar Beet. Frontiers in Plant Science, 8. https://doi.org/10.3389/fpls.2017.00444
Soares, D. J., Oliveira, W., Uzuele, E., Carvalho, S., Ovejero, R., & Christoffoleti, P. (2017). Growth and development of Conyza bonariensis based on days or thermal units. Pesquisa Agropecuária Brasileira, 52, 45–53. https://doi.org/10.1590/s0100-204x2017000100006
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El presente comunicado puede contener declaraciones a futuro basadas en suposiciones actuales y pronósticos realizados por la administración de Bayer. Varios riesgos conocidos y desconocidos, incertidumbres y otros factores podrían llevar a diferencias importantes entre los resultados futuros reales, la situación financiera, el desarrollo o el rendimiento de la empresa y las estimaciones que se proporcionan aquí. Estos factores incluyen aquellos discutidos en los informes públicos de Bayer que están disponibles en el sitio web de Bayer en www.bayer.com. La empresa no asume responsabilidad alguna para actualizar estas declaraciones a futuro o para adaptarlas a futuros eventos o desarrollos.
El presente comunicado puede contener declaraciones a futuro basadas en suposiciones actuales y pronósticos realizados por la administración de Bayer. Varios riesgos conocidos y desconocidos, incertidumbres y otros factores podrían llevar a diferencias importantes entre los resultados futuros reales, la situación financiera, el desarrollo o el rendimiento de la empresa y las estimaciones que se proporcionan aquí. Estos factores incluyen aquellos discutidos en los informes públicos de Bayer que están disponibles en el sitio web de Bayer en www.bayer.com. La empresa no asume responsabilidad alguna para actualizar estas declaraciones a futuro o para adaptarlas a futuros eventos o desarrollos.