The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
J Bota - One of the best experts on this subject based on the ideXlab platform.
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Effects of Grapevine Leafroll associated Virus 3 (GLRaV-3) and duration of infection on Fruit Composition and wine chemical profile of Vitis vinifera L. cv. Sauvignon blanc.
Food chemistry, 2015Co-Authors: R Montero, D Mundy, A Albright, C Grose, M C T Trought, D Cohen, K M Chooi, R Macdiarmid, J Flexas, J BotaAbstract:In order to determine the effects of Grapevine Leafroll associated Virus 3 (GLRaV-3) on Fruit Composition and chemical profile of juice and wine from Vitis vinifera L. cv. Sauvignon blanc grown in New Zealand, Composition variables were measured on Fruit from vines either infected with GLRaV-3 (established or recent infections) or uninfected vines. Physiological ripeness (20.4°Brix) was the criterion established to determine the harvest date for each of the three treatments. Date of grape ripeness was strongly affected by virus infection. In juice and wine, GLRaV-3 infection prior to 2008 reduced titratable acidity compared with the uninfected control. Differences observed in amino acids from the three infection status groups did not modify basic wine chemical properties. In conclusion, GLRaV-3 infection slowed grape ripening, but at equivalent ripeness to result in minimal effects on the juice and wine chemistry. Time of infection produced differences in specific plant physiological variables.
Laura Pascual - One of the best experts on this subject based on the ideXlab platform.
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Deciphering the genetic control of tomato Fruit Composition in flavonoids in the resequencing Era
2016Co-Authors: Mathilde Causse, Laura Pascual, Christopher Sauvage, Elise Albert, Jean-paul Bouchet, Dominique Brunel, Marie-christine Le PaslierAbstract:Identifying the genes controlling the variation of quantitative traits is a key goal for breeders. Genetic variations underlying quantitative traits (QTL) have been mapped by linkage mapping for years and positional cloning identified several QTLs. However linkage mapping is limited to the analysis of traits differing between two lines and the impact of genetic background on QTL effect has been underlined. Multi-allelic Advanced Generation Inter-Cross (MAGIC) populations allow a wide range of variability to be analyzed. We have constructed a MAGIC population by crossing 8 tomato lines, representing a wide range of genetic diversity within the species. The large range of phenotypic variability represented by these lines was then characterized at different scales, metabolomic, proteomic and transcriptomic. The whole genomes of the 8 founder lines were resequenced identifying more than 4 millions SNPs when mapped onto the reference genome. A set of 1536 SNPs markers was then selected to genotype the MAGIC population and used to construct a linkage map. A large increase in recombination frequencies compared to bi-parental populations was shown. QTLs for Fruit Composition traits were mapped and related to the variations detected at the genome sequence and expression levels in the parental lines. QTL for flavonoid compounds were mapped and candidate genes identified will be presented
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Approaches of the genetic control of tomato Fruit Composition in the resequencing era
2014Co-Authors: Laura Pascual, Christopher Sauvage, Jean-paul Bouchet, Dominique Brunel, Marie-christine Le Paslier, Guillaume Bauchet, Nelly Desplat, Mathilde CausseAbstract:Identifying the genes controlling the variation of quantitative traits is a key goal for geneticists. Genetic loci underlying quantitative trait variation (QTL) have been mapped by traditional linkage mapping for years and positional cloning identified several QTLs. However linkage mapping is limited to the analysis of traits differing between two lines and the impact of genetic background on QTL effect has been underlined.Thanks to the increase in molecular markers, genome-wide association studies were then proposed to circumvent QTL limitations. ln tomato, a self-pollinated crop, we have shown that association studies are possible, using the admixed nature of cherry tomato genomes that limits the impact of population structure in such an approach. Nevertheless, the results might be restricted by linkage disequilibrium and allele frequency, which vary greatly along the genome. Multi-allelic Advanced Generation Inter-Cross (MAGIC) populations allow a wide range of variability to be analyzed and avoid dealing with population structure.
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Deciphering genetic diversity and inheritance of tomato Fruit weight and Composition through a systems biology approach.
Journal of experimental botany, 2013Co-Authors: Laura Pascual, Catherine Deborde, Mickael Maucourt, Benoît Biais, Patricia Ballias, Stéphane Bernillon, Daniel J. Jacob, Aurore Desgroux, Mireille FaurobertAbstract:Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of Fruit Composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes), and phenotypes of eight tomato accessions, covering the genetic diversity of the species, and four of their F1 hybrids, were characterized at two Fruit developmental stages (cell expansion and orange-red). The contents of metabolites varied among the genetic backgrounds, while enzyme profiles were less variable, particularly at the cell expansion stage. Frequent genotype by stage interactions suggested that the trends observed for one accession at a physiological level may change in another accession. In agreement with this, the inheritance modes varied between crosses and stages. Although additivity was predominant, 40% of the traits were non-additively inherited. Relationships among traits revealed associations between different levels of expression and provided information on several key proteins. Notably, the role of frucktokinase, invertase, and cysteine synthase in the variation of metabolites was highlighted. Several stress-related proteins also appeared related to Fruit weight differences. These key proteins might be targets for improving metabolite contents of the Fruit. This systems biology approach provides better understanding of networks controlling the genetic variation of tomato Fruit Composition. In addition, the wide data sets generated provide an ideal framework to develop innovative integrated hypothesis and will be highly valuable for the research community.
R Montero - One of the best experts on this subject based on the ideXlab platform.
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Effects of Grapevine Leafroll associated Virus 3 (GLRaV-3) and duration of infection on Fruit Composition and wine chemical profile of Vitis vinifera L. cv. Sauvignon blanc.
Food chemistry, 2015Co-Authors: R Montero, D Mundy, A Albright, C Grose, M C T Trought, D Cohen, K M Chooi, R Macdiarmid, J Flexas, J BotaAbstract:In order to determine the effects of Grapevine Leafroll associated Virus 3 (GLRaV-3) on Fruit Composition and chemical profile of juice and wine from Vitis vinifera L. cv. Sauvignon blanc grown in New Zealand, Composition variables were measured on Fruit from vines either infected with GLRaV-3 (established or recent infections) or uninfected vines. Physiological ripeness (20.4°Brix) was the criterion established to determine the harvest date for each of the three treatments. Date of grape ripeness was strongly affected by virus infection. In juice and wine, GLRaV-3 infection prior to 2008 reduced titratable acidity compared with the uninfected control. Differences observed in amino acids from the three infection status groups did not modify basic wine chemical properties. In conclusion, GLRaV-3 infection slowed grape ripening, but at equivalent ripeness to result in minimal effects on the juice and wine chemistry. Time of infection produced differences in specific plant physiological variables.
C. Ballester - One of the best experts on this subject based on the ideXlab platform.
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Assessment of yield and water productivity of clementine trees under surface and subsurface drip irrigation
Agricultural Water Management, 2018Co-Authors: M.a. Martínez-gimeno, Luis Bonet, Giuseppe Provenzano, E. Badal, Diego S. Intrigliolo, C. BallesterAbstract:Abstract Irrigation systems aimed to optimize water use efficiency in agriculture have become essential due to the increasing water limitations that agriculture is currently facing. Assessment of crop responses to different irrigation systems and strategies are therefore encouraged to find the most efficient options for each specific case. The main objective of this study was to assess the performance of a citrus crop under a surface (SI) and subsurface drip irrigation (SSI) with 7 (SI7, SSI7) or 14 emitters (SI14, SSI14) per plant, as well as a third SS treatment (SSIA), identical to SSI7 but equipped with and additional drip line buried between the tree rows. Evaluations were made in terms of yield, Fruit Composition, irrigation water productivity (IWP) and water savings. Results showed that, on average, water savings were 23.0% in the SSI treatment compared to the SI treatment without significant differences in either yield or Fruit Composition. IWP was higher in SI14, SSI14 and SSIA than in SI7 and SSI7 treatments. SSIA was the treatment with the lowest irrigation volumes and the highest yield and compared to SI7 allowed, over the three years, water savings in the range between 22.4 and 27.9%. Results from this study illustrate that there is opportunity to substantially save water in citrus production and that further research in this direction is needed to contribute to better optimize the water resources in agriculture.
Mireille Faurobert - One of the best experts on this subject based on the ideXlab platform.
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Deciphering genetic diversity and inheritance of tomato Fruit weight and Composition through a systems biology approach.
Journal of experimental botany, 2013Co-Authors: Laura Pascual, Catherine Deborde, Mickael Maucourt, Benoît Biais, Patricia Ballias, Stéphane Bernillon, Daniel J. Jacob, Aurore Desgroux, Mireille FaurobertAbstract:Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of Fruit Composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes), and phenotypes of eight tomato accessions, covering the genetic diversity of the species, and four of their F1 hybrids, were characterized at two Fruit developmental stages (cell expansion and orange-red). The contents of metabolites varied among the genetic backgrounds, while enzyme profiles were less variable, particularly at the cell expansion stage. Frequent genotype by stage interactions suggested that the trends observed for one accession at a physiological level may change in another accession. In agreement with this, the inheritance modes varied between crosses and stages. Although additivity was predominant, 40% of the traits were non-additively inherited. Relationships among traits revealed associations between different levels of expression and provided information on several key proteins. Notably, the role of frucktokinase, invertase, and cysteine synthase in the variation of metabolites was highlighted. Several stress-related proteins also appeared related to Fruit weight differences. These key proteins might be targets for improving metabolite contents of the Fruit. This systems biology approach provides better understanding of networks controlling the genetic variation of tomato Fruit Composition. In addition, the wide data sets generated provide an ideal framework to develop innovative integrated hypothesis and will be highly valuable for the research community.
