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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
11/04/2017 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
DALLA RIZZA, M.; DIAZ, P.; NARANCIO, R.; CABRERA, A.; FERREIRA, F. |
Afiliación : |
MARCO DALLA RIZZA VILARO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAOLA ALEXANDRA DIAZ DELLAVALLE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL NARANCIO FERES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREA CECILIA CABRERA BARRIOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO FERREIRA, Universidad de la República (UdelaR)/ Facultad de Química. |
Título : |
Biomolecules as host defense weapons against microbial pathogens. (Review) |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Recent Patents on DNA and Gene Sequences, 2008, v.2, no.2, p.82-96. |
ISSN : |
1872-2156 |
DOI : |
10.2174/187221508784534186 |
Idioma : |
Inglés |
Notas : |
Article history: Received: April 21, 2008 / Accepted: April 29, 2008 / Revised: April 29, 2008. |
Contenido : |
ABSTRACT.
Antimicrobial peptides have been considered a new source of biomolecules in several fields of research/innovative applications: they would adjust to an ideal behavior seeking to overcome clinician, microbiological, human-animal-plant-environmental concerns. Antimicrobial peptides can be considered as ancient weapons found in living organisms suggesting they have played a fundamental role in his successful co-evolution with pathogens. Acting on microorganism membrane or having intracellular targets, they can also act as effectors of the innate immune response resulting on non-specific mechanisms of action. Two elements have speeded the research on pathogen control alternatives: a verified increase of antibiotic resistance and the relevance of finding amenable environmental compounds in plant health. As a result of its importance, great efforts have been accomplished to find, characterize, combine and synthesize effective antimicrobial peptides. This review intends to emphasize the generation of biomolecules, whether native or synthetic analogues, that have been matter of recent patents. Development of biomolecules suitable for therapeutic scopes and agricultural use have several challenges such as intrinsic toxicity, in vivo stability and suitable formulation contemplating the cost of production. Thus, biotechnological procedures using microbial systems or transgenic crops as plant factories might help to solve these challenges.
© 2008 Bentham Science Publishers Ltd. MenosABSTRACT.
Antimicrobial peptides have been considered a new source of biomolecules in several fields of research/innovative applications: they would adjust to an ideal behavior seeking to overcome clinician, microbiological, human-animal-plant-environmental concerns. Antimicrobial peptides can be considered as ancient weapons found in living organisms suggesting they have played a fundamental role in his successful co-evolution with pathogens. Acting on microorganism membrane or having intracellular targets, they can also act as effectors of the innate immune response resulting on non-specific mechanisms of action. Two elements have speeded the research on pathogen control alternatives: a verified increase of antibiotic resistance and the relevance of finding amenable environmental compounds in plant health. As a result of its importance, great efforts have been accomplished to find, characterize, combine and synthesize effective antimicrobial peptides. This review intends to emphasize the generation of biomolecules, whether native or synthetic analogues, that have been matter of recent patents. Development of biomolecules suitable for therapeutic scopes and agricultural use have several challenges such as intrinsic toxicity, in vivo stability and suitable formulation contemplating the cost of production. Thus, biotechnological procedures using microbial systems or transgenic crops as plant factories might help to solve these challenges.
© 2008 Bentham Science Publishers ... Presentar Todo |
Palabras claves : |
ANTIMICROBIAL; BIOCONTROL AGENTS; MODES OF ACTION; PEPTIDES. |
Thesagro : |
AGENTES DE CONTROL BIOLOGICO; ANTIMICROBIANOS; PEPTIDOS. |
Asunto categoría : |
-- |
Marc : |
LEADER 02414naa a2200289 a 4500 001 1057010 005 2019-10-09 008 2008 bl uuuu u00u1 u #d 022 $a1872-2156 024 7 $a10.2174/187221508784534186$2DOI 100 1 $aDALLA RIZZA, M. 245 $aBiomolecules as host defense weapons against microbial pathogens. (Review)$h[electronic resource] 260 $c2008 500 $aArticle history: Received: April 21, 2008 / Accepted: April 29, 2008 / Revised: April 29, 2008. 520 $aABSTRACT. Antimicrobial peptides have been considered a new source of biomolecules in several fields of research/innovative applications: they would adjust to an ideal behavior seeking to overcome clinician, microbiological, human-animal-plant-environmental concerns. Antimicrobial peptides can be considered as ancient weapons found in living organisms suggesting they have played a fundamental role in his successful co-evolution with pathogens. Acting on microorganism membrane or having intracellular targets, they can also act as effectors of the innate immune response resulting on non-specific mechanisms of action. Two elements have speeded the research on pathogen control alternatives: a verified increase of antibiotic resistance and the relevance of finding amenable environmental compounds in plant health. As a result of its importance, great efforts have been accomplished to find, characterize, combine and synthesize effective antimicrobial peptides. This review intends to emphasize the generation of biomolecules, whether native or synthetic analogues, that have been matter of recent patents. Development of biomolecules suitable for therapeutic scopes and agricultural use have several challenges such as intrinsic toxicity, in vivo stability and suitable formulation contemplating the cost of production. Thus, biotechnological procedures using microbial systems or transgenic crops as plant factories might help to solve these challenges. © 2008 Bentham Science Publishers Ltd. 650 $aAGENTES DE CONTROL BIOLOGICO 650 $aANTIMICROBIANOS 650 $aPEPTIDOS 653 $aANTIMICROBIAL 653 $aBIOCONTROL AGENTS 653 $aMODES OF ACTION 653 $aPEPTIDES 700 1 $aDIAZ, P. 700 1 $aNARANCIO, R. 700 1 $aCABRERA, A. 700 1 $aFERREIRA, F. 773 $tRecent Patents on DNA and Gene Sequences, 2008$gv.2, no.2, p.82-96.
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
28/03/2016 |
Actualizado : |
24/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. |
Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
Título : |
How do various maize crop models vary in their responses to climate change factors? |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
DOI : |
10.1111/gcb.12520 |
Idioma : |
Inglés |
Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
Contenido : |
Abstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. MenosAbstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2]... Presentar Todo |
Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
Marc : |
LEADER 03684naa a2200769 a 4500 001 1054517 005 2018-09-24 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1111/gcb.12520$2DOI 100 1 $aBASSU, S. 245 $aHow do various maize crop models vary in their responses to climate change factors?$h[electronic resource] 260 $c2014 500 $aArticle history: Received 7 June 2013 and accepted 2 December 2013, published 2014. 520 $aAbstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. 650 $aCLIMA 650 $aDIOXIDO DE CARBONO 650 $aINCERTIDUMBRE 650 $aMAÍZ 650 $aMODELOS DE SIMULACIÓN 650 $aTEMPERATURA 653 $aAGMIP 653 $aCARBON DIOXIDE 653 $aCLIMATE 653 $aCO2 653 $aGRAIN YIELD 653 $aMAIZE 653 $aMODEL INTERCOMPARISON 653 $aMODELIZACIÓN DE CULTIVOS 653 $aSIMULATION MODELS 653 $aTEMPERATURE 700 1 $aBRISSON, N. 700 1 $aDURAND, J.L. 700 1 $aBOOTE, K. 700 1 $aLIZASO, J. 700 1 $aJONES, J.W. 700 1 $aROSENZWEIG, C. 700 1 $aRUANE, A.C. 700 1 $aADAM, M. 700 1 $aBARON, C. 700 1 $aBASSO, B. 700 1 $aBIERNATH, C. 700 1 $aBOOGAARD, H. 700 1 $aCONIJN, S. 700 1 $aCORBEELS, M.L 700 1 $aDERYNG, D. 700 1 $aSANTIS, G. DE 700 1 $aGAYLER, S. 700 1 $aGRASSINI, P. 700 1 $aHATFIELD, J. 700 1 $aHOEK, S. 700 1 $aIZAURRALDE, C. 700 1 $aJONGSCHAAP, R. 700 1 $aKEMANIAN, A.R. 700 1 $aKERSEBAUM, C.KIM, S-H. 700 1 $aKUMAR, N. 700 1 $aMAKOWSKI, D. 700 1 $aMÜLLER, C. 700 1 $aNENDEL, C. 700 1 $aPRIESACK, E. 700 1 $aPRAVIA, V. 700 1 $aSAU, F. 700 1 $aSHCHERBAK, I. 700 1 $aTAO, F. 700 1 $aTEXEIRA, E. 700 1 $aTIMLIN, D. 700 1 $aWAHA, K. 773 $tGlobal Change Biology, 2014$gv.20(7), p. 2301-2320.
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