14 research outputs found

    Inelastic J/psi Photoproduction

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    Inelastic photoproduction of J/ψJ/\psi particles at high energies is one of the processes to determine the gluon distribution in the nucleon. We have calculated the QCD radiative corrections to the color-singlet model of this reaction. They are large at moderate photon energies, but decrease with increasing energies. The cross section and the J/ψJ/\psi energy spectrum are compared with the available fixed-target photoproduction data and predictions are given for the HERA energy range.Comment: 14 pages, latex, 7 uuencoded figure

    Time-series transcriptomics reveals a BBX32-directed control of acclimation to high light in mature Arabidopsis leaves

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    The photosynthetic capacity of mature leaves increases after several days’ exposure to constant or intermittent episodes of high light (HL) and is manifested primarily as changes in chloroplast physiology. How this chloroplast-level acclimation to HL is initiated and controlled is unknown. From expanded Arabidopsis leaves, we determined HL-dependent changes in transcript abundance of 3844 genes in a 0–6 h time-series transcriptomics experiment. It was hypothesized that among such genes were those that contribute to the initiation of HL acclimation. By focusing on differentially expressed transcription (co-)factor genes and applying dynamic statistical modelling to the temporal transcriptomics data, a regulatory network of 47 predominantly photoreceptor-regulated transcription (co-)factor genes was inferred. The most connected gene in this network was B-BOX DOMAIN CONTAINING PROTEIN32 (BBX32). Plants overexpressing BBX32 were strongly impaired in acclimation to HL and displayed perturbed expression of photosynthesis-associated genes under LL and after exposure to HL. These observations led to demonstrating that as well as regulation of chloroplast-level acclimation by BBX32, CRYPTOCHROME1, LONG HYPOCOTYL5, CONSTITUTIVELY PHOTOMORPHOGENIC1 and SUPPRESSOR OF PHYA-105 are important. In addition, the BBX32-centric gene regulatory network provides a view of the transcriptional control of acclimation in mature leaves distinct from other photoreceptor-regulated processes, such as seedling photomorphogenesis

    Time-series transcriptomics reveals that AGAMOUS-LIKE22 affects primary metabolism and developmental processes in drought-stressed arabidopsis

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    This is the author accepted manuscript. The final version is available from the American Society of Plant Biologists via the DOI in this record.In Arabidopsis thaliana, changes in metabolism and gene expression drive increased drought tolerance and initiate diverse drought avoidance and escape responses. To address regulatory processes that link these responses, we set out to identify genes that govern early responses to drought. To do this, a high-resolution time series transcriptomics data set was produced, coupled with detailed physiological and metabolic analyses of plants subjected to a slow transition from well-watered to drought conditions. A total of 1815 drought-responsive differentially expressed genes were identified. The early changes in gene expression coincided with a drop in carbon assimilation, and only in the late stages with an increase in foliar abscisic acid content. To identify gene regulatory networks (GRNs) mediating the transition between the early and late stages of drought, we used Bayesian network modeling of differentially expressed transcription factor (TF) genes. This approach identified AGAMOUS-LIKE22 (AGL22), as key hub gene in a TF GRN. It has previously been shown that AGL22 is involved in the transition from vegetative state to flowering but here we show that AGL22 expression influences steady state photosynthetic rates and lifetime water use. This suggests that AGL22 uniquely regulates a transcriptional network during drought stress, linking changes in primary metabolism and the initiation of stress responses.The authors acknowledge the support of the UK Biotechnology and Biological Science Research Council (BBSRC; Grant BB/F005806/1). S.S. was supported by a University of Essex PhD studentship. J.S.A.M. is supported by an NERC-CASE award (ENV-EATR-DTP: NE/L002582/1), and S.R.M.V-C. is supported by the BBSRC (BB/1001187_1). R.F. and J.E.L. are supported by the Max Planck Society. N.S. and H.F. are supported by Exeter Science Strategy funding, and C.S. is supported by the BBSRC and the Department for Environment, Food, and Rural Affairs through the NORNEX project. D.L.S was supported by a Wellcome Trust Institutional Strategic Support Fund. We thank Susan Corbett and Phillip A. Davey for help with the drought experiments and gas exchange measurements
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