Enhanced free vibration analysis of composite wing-box structures by one-dimensional Component-wise and dynamic stiffness formulations

Free vibration analysis is an important aspect of aeronautical engineering. The availability of enhanced models for accurate modal analysis is therefore of primary interest. This work deals with advanced 1D formulations able to foresee higher-order phenomena, such as elastic bending/shear coupling, restrained torsional warping and 3D strain effects. The proposed beam models are developed in the framework of the Carrera Unified Formulation (CUF), whose hierarchical capability allows the analyst to implement automatically refined models with arbitrarily rich kinematics. The capabilities of the resulting 1D theories are assessed by both weak- and strong-form solutions and the results from free vibration analyses of wing-like composite structures are compared to those from the literature, experiments and commercial FEM software

Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules

[EN] Age-regulated microRNA156 (miR156) and targets similarly control the competence to flower in diverse species. By contrast, the diterpene hormone gibberellin (GA) and the microRNA319-regulated TEOSINTE BRANCHED/CYCLOIDEA/PCF (TCP) transcription factors promote flowering in the facultative long-day Arabidopsis thaliana, but suppress it in the day-neutral tomato (Solanum lycopersicum). We combined genetic and molecular studies and described a new interplay between GA and two unrelated miRNA-associated pathways that modulates tomato transition to flowering. Tomato PROCERA/DELLA activity is required to promote flowering along with the miR156-targeted SQUAMOSA PROMOTER BINDING-LIKE (SPL/SBP) transcription factors by activating SINGLE FLOWER TRUSS (SFT) in the leaves and the MADS-Boxgene APETALA1(AP1)/MC at the shoot apex. Conversely, miR319-targeted LANCEOLATE represses floral transition by increasing GA concentrations and inactivating SFT in the leaves and AP1/MC at the shoot apex. Importantly, the combination of high GA concentrations/responses with the loss of SPL/SPB function impaired canonical meristem maturation and flower initiation in tomato. Our results reveal a cooperative regulation of tomato floral induction and flower development, integrating age cues (miR156 module) with GA responses and miR319-controlled pathways. Importantly, this study contributes to elucidate the mechanisms underlying the effects of GA in controlling flowering time in a day-neutral species.We thank Dr C. Schommer for kindly providing tcp4-soj8/+ seeds, and Carlos Rojas for Arabidopsis flowering time analyses. This work was supported by FAPESP (grant no. 15/17892-7 and fellowships nos 15/23826-7 and 13/16949-0). The authors declare no conflict of interest.Silva, G.; Silva, E.; Correa, J.; Vicente, M.; Jiang, N.; Notini, M.; Junior, A.... (2018). Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules. New Phytologist. 221(3):1328-1344. https://doi.org/10.1111/nph.15492S132813442213Andrés, F., & Coupland, G. (2012). The genetic basis of flowering responses to seasonal cues. Nature Reviews Genetics, 13(9), 627-639. doi:10.1038/nrg3291Bassel, G. W., Mullen, R. T., & Bewley, J. D. (2008). procerais a putative DELLA mutant in tomato (Solanum lycopersicum): effects on the seed and vegetative plant. Journal of Experimental Botany, 59(3), 585-593. doi:10.1093/jxb/erm354Ben‐Naim, O., Eshed, R., Parnis, A., Teper‐Bamnolker, P., Shalit, A., Coupland, G., … Lifschitz, E. (2006). The CCAAT binding factor can mediate interactions between CONSTANS‐like proteins and DNA. The Plant Journal, 46(3), 462-476. doi:10.1111/j.1365-313x.2006.02706.xBoss, P. K., & Thomas, M. R. (2002). Association of dwarfism and floral induction with a grape ‘green revolution’ mutation. Nature, 416(6883), 847-850. doi:10.1038/416847aBurko, Y., Shleizer-Burko, S., Yanai, O., Shwartz, I., Zelnik, I. D., Jacob-Hirsch, J., … Ori, N. (2013). A Role for APETALA1/FRUITFULL Transcription Factors in Tomato Leaf Development. The Plant Cell, 25(6), 2070-2083. doi:10.1105/tpc.113.113035Cardon, G., Höhmann, S., Klein, J., Nettesheim, K., Saedler, H., & Huijser, P. (1999). Molecular characterisation of the Arabidopsis SBP-box genes. Gene, 237(1), 91-104. doi:10.1016/s0378-1119(99)00308-xCarrera, E., Ruiz-Rivero, O., Peres, L. E. P., Atares, A., & Garcia-Martinez, J. L. (2012). Characterization of the procera Tomato Mutant Shows Novel Functions of the SlDELLA Protein in the Control of Flower Morphology, Cell Division and Expansion, and the Auxin-Signaling Pathway during Fruit-Set and Development. Plant Physiology, 160(3), 1581-1596. doi:10.1104/pp.112.204552Carvalho, R. F., Campos, M. L., Pino, L. E., Crestana, S. L., Zsögön, A., Lima, J. E., … Peres, L. E. (2011). Convergence of developmental mutants into a single tomato model system: «Micro-Tom» as an effective toolkit for plant development research. Plant Methods, 7(1), 18. doi:10.1186/1746-4811-7-18Cubas, P., Lauter, N., Doebley, J., & Coen, E. (1999). The TCP domain: a motif found in proteins regulating plant growth and development. The Plant Journal, 18(2), 215-222. doi:10.1046/j.1365-313x.1999.00444.xDavière, J.-M., Wild, M., Regnault, T., Baumberger, N., Eisler, H., Genschik, P., & Achard, P. (2014). Class I TCP-DELLA Interactions in Inflorescence Shoot Apex Determine Plant Height. Current Biology, 24(16), 1923-1928. doi:10.1016/j.cub.2014.07.012Silva, G. F. F. e, Silva, E. M., da Silva Azevedo, M., Guivin, M. A. C., Ramiro, D. A., Figueiredo, C. R., … Nogueira, F. T. S. (2014). microRNA156-targeted SPL/SBP box transcription factors regulate tomato ovary and fruit development. The Plant Journal, 78(4), 604-618. doi:10.1111/tpj.12493Gallego-Bartolome, J., Minguet, E. G., Marin, J. A., Prat, S., Blazquez, M. A., & Alabadi, D. (2010). Transcriptional Diversification and Functional Conservation between DELLA Proteins in Arabidopsis. Molecular Biology and Evolution, 27(6), 1247-1256. doi:10.1093/molbev/msq012Gallego-Giraldo, L., García-Martínez, J. L., Moritz, T., & López-Díaz, I. (2007). Flowering in Tobacco Needs Gibberellins but is not Promoted by the Levels of Active GA1 and GA4 in the Apical Shoot. Plant and Cell Physiology, 48(4), 615-625. doi:10.1093/pcp/pcm034Galvao, V. C., Horrer, D., Kuttner, F., & Schmid, M. (2012). Spatial control of flowering by DELLA proteins in Arabidopsis thaliana. Development, 139(21), 4072-4082. doi:10.1242/dev.080879García-Hurtado, N., Carrera, E., Ruiz-Rivero, O., López-Gresa, M. P., Hedden, P., Gong, F., & García-Martínez, J. L. (2012). The characterization of transgenic tomato overexpressing gibberellin 20-oxidase reveals induction of parthenocarpic fruit growth, higher yield, and alteration of the gibberellin biosynthetic pathway. Journal of Experimental Botany, 63(16), 5803-5813. doi:10.1093/jxb/ers229Gargul, J. M., Mibus, H., & Serek, M. (2013). Constitutive overexpression of Nicotiana GA 2 ox leads to compact phenotypes and delayed flowering in Kalanchoë blossfeldiana and Petunia hybrida. Plant Cell, Tissue and Organ Culture (PCTOC), 115(3), 407-418. doi:10.1007/s11240-013-0372-5Goldberg-Moeller, R., Shalom, L., Shlizerman, L., Samuels, S., Zur, N., Ophir, R., … Sadka, A. (2013). Effects of gibberellin treatment during flowering induction period on global gene expression and the transcription of flowering-control genes in Citrus buds. Plant Science, 198, 46-57. doi:10.1016/j.plantsci.2012.09.012Hauvermale, A. L., Ariizumi, T., & Steber, C. M. (2012). Gibberellin Signaling: A Theme and Variations on DELLA Repression. Plant Physiology, 160(1), 83-92. doi:10.1104/pp.112.200956Hyun, Y., Richter, R., Vincent, C., Martinez-Gallegos, R., Porri, A., & Coupland, G. (2016). Multi-layered Regulation of SPL15 and Cooperation with SOC1 Integrate Endogenous Flowering Pathways at the Arabidopsis Shoot Meristem. Developmental Cell, 37(3), 254-266. doi:10.1016/j.devcel.2016.04.001Itoh, H., Ueguchi-Tanaka, M., Sato, Y., Ashikari, M., & Matsuoka, M. (2002). The Gibberellin Signaling Pathway Is Regulated by the Appearance and Disappearance of SLENDER RICE1 in Nuclei. The Plant Cell, 14(1), 57-70. doi:10.1105/tpc.010319Jung, J.-H., Ju, Y., Seo, P. J., Lee, J.-H., & Park, C.-M. (2011). The SOC1-SPL module integrates photoperiod and gibberellic acid signals to control flowering time in Arabidopsis. The Plant Journal, 69(4), 577-588. doi:10.1111/j.1365-313x.2011.04813.xKing, R. W., & Ben-Tal, Y. (2001). A Florigenic Effect of Sucrose in Fuchsia hybrida Is Blocked by Gibberellin-Induced Assimilate Competition. Plant Physiology, 125(1), 488-496. doi:10.1104/pp.125.1.488Kubota, A., Ito, S., Shim, J. S., Johnson, R. S., Song, Y. H., Breton, G., … Imaizumi, T. (2017). TCP4-dependent induction of CONSTANS transcription requires GIGANTEA in photoperiodic flowering in Arabidopsis. PLOS Genetics, 13(6), e1006856. doi:10.1371/journal.pgen.1006856Kudla, J., & Bock, R. (2016). Lighting the Way to Protein-Protein Interactions: Recommendations on Best Practices for Bimolecular Fluorescence Complementation Analyses. The Plant Cell, 28(5), 1002-1008. doi:10.1105/tpc.16.00043Lifschitz, E., Eviatar, T., Rozman, A., Shalit, A., Goldshmidt, A., Amsellem, Z., … Eshed, Y. (2006). The tomato FT ortholog triggers systemic signals that regulate growth and flowering and substitute for diverse environmental stimuli. Proceedings of the National Academy of Sciences, 103(16), 6398-6403. doi:10.1073/pnas.0601620103Liu, J., Cheng, X., Liu, P., Li, D., Chen, T., Gu, X., & Sun, J. (2017). MicroRNA319-regulated TCPs interact with FBHs and PFT1 to activate CO transcription and control flowering time in Arabidopsis. PLOS Genetics, 13(5), e1006833. doi:10.1371/journal.pgen.1006833Livak, K. J., & Schmittgen, T. D. (2001). Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods, 25(4), 402-408. doi:10.1006/meth.2001.1262Livne, S., Lor, V. S., Nir, I., Eliaz, N., Aharoni, A., Olszewski, N. E., … Weiss, D. (2015). Uncovering DELLA-Independent Gibberellin Responses by Characterizing New Tomato procera Mutants. The Plant Cell, 27(6), 1579-1594. doi:10.1105/tpc.114.132795Lombardi-Crestana, S., da Silva Azevedo, M., e Silva, G. F. F., Pino, L. E., Appezzato-da-Glória, B., Figueira, A., … Peres, L. E. P. (2012). The Tomato (Solanum Lycopersicum cv. Micro-Tom) Natural Genetic Variation Rg1 and the DELLA Mutant Procera Control the Competence Necessary to Form Adventitious Roots and Shoots. Journal of Experimental Botany, 63(15), 5689-5703. doi:10.1093/jxb/ers221Lozano, R., Gimenez, E., Cara, B., Capel, J., & Angosto, T. (2009). Genetic analysis of reproductive development in tomato. The International Journal of Developmental Biology, 53(8-9-10), 1635-1648. doi:10.1387/ijdb.072440rlMartin, K., Kopperud, K., Chakrabarty, R., Banerjee, R., Brooks, R., & Goodin, M. M. (2009). Transient expression inNicotiana benthamianafluorescent marker lines provides enhanced definition of protein localization, movement and interactionsin planta. The Plant Journal, 59(1), 150-162. doi:10.1111/j.1365-313x.2009.03850.xMartínez-Bello, L., Moritz, T., & López-Díaz, I. (2015). Silencing C19-GA 2-oxidases induces parthenocarpic development and inhibits lateral branching in tomato plants. Journal of Experimental Botany, 66(19), 5897-5910. doi:10.1093/jxb/erv300Meissner, R., Chague, V., Zhu, Q., Emmanuel, E., Elkind, Y., & Levy, A. A. (2000). A high throughput system for transposon tagging and promoter trapping in tomato. The Plant Journal, 22(3), 265-274. doi:10.1046/j.1365-313x.2000.00735.xMolinero-Rosales, N., Jamilena, M., Zurita, S., Gomez, P., Capel, J., & Lozano, R. (1999). FALSIFLORA, the tomato orthologue of FLORICAULA and LEAFY, controls flowering time and floral meristem identity. The Plant Journal, 20(6), 685-693. doi:10.1046/j.1365-313x.1999.00641.xMorea, E. G. O., da Silva, E. M., e Silva, G. F. F., Valente, G. T., Barrera Rojas, C. H., Vincentz, M., & Nogueira, F. T. S. (2016). Functional and evolutionary analyses of the miR156 and miR529 families in land plants. BMC Plant Biology, 16(1). doi:10.1186/s12870-016-0716-5Mounet, F., Moing, A., Garcia, V., Petit, J., Maucourt, M., Deborde, C., … Lemaire-Chamley, M. (2009). Gene and Metabolite Regulatory Network Analysis of Early Developing Fruit Tissues Highlights New Candidate Genes for the Control of Tomato Fruit Composition and Development. Plant Physiology, 149(3), 1505-1528. doi:10.1104/pp.108.133967Nir, I., Shohat, H., Panizel, I., Olszewski, N., Aharoni, A., & Weiss, D. (2017). The Tomato DELLA Protein PROCERA Acts in Guard Cells to Promote Stomatal Closure. The Plant Cell, 29(12), 3186-3197. doi:10.1105/tpc.17.00542Ohad, N., Shichrur, K., & Yalovsky, S. (2007). The Analysis of Protein-Protein Interactions in Plants by Bimolecular Fluorescence Complementation. Plant Physiology, 145(4), 1090-1099. doi:10.1104/pp.107.107284Ori, N., Cohen, A. R., Etzioni, A., Brand, A., Yanai, O., Shleizer, S., … Eshed, Y. (2007). Regulation of LANCEOLATE by miR319 is required for compound-leaf development in tomato. Nature Genetics, 39(6), 787-791. doi:10.1038/ng2036Pal, S., Zhao, J., Khan, A., Yadav, N. S., Batushansky, A., Barak, S., … Rachmilevitch, S. (2016). Paclobutrazol induces tolerance in tomato to deficit irrigation through diversified effects on plant morphology, physiology and metabolism. Scientific Reports, 6(1). doi:10.1038/srep39321Palatnik, J. F., Wollmann, H., Schommer, C., Schwab, R., Boisbouvier, J., Rodriguez, R., … Weigel, D. (2007). Sequence and Expression Differences Underlie Functional Specialization of Arabidopsis MicroRNAs miR159 and miR319. Developmental Cell, 13(1), 115-125. doi:10.1016/j.devcel.2007.04.012Parapunova, V., Busscher, M., Busscher-Lange, J., Lammers, M., Karlova, R., Bovy, A. G., … de Maagd, R. A. (2014). Identification, cloning and characterization of the tomato TCP transcription factor family. BMC Plant Biology, 14(1), 157. doi:10.1186/1471-2229-14-157Park, S. J., Jiang, K., Schatz, M. C., & Lippman, Z. B. (2011). Rate of meristem maturation determines inflorescence architecture in tomato. Proceedings of the National Academy of Sciences, 109(2), 639-644. doi:10.1073/pnas.1114963109Pharis, R. P., & King, R. W. (1985). Gibberellins and Reproductive Development in Seed Plants. Annual Review of Plant Physiology, 36(1), 517-568. doi:10.1146/annurev.pp.36.060185.002505Porri, A., Torti, S., Romera-Branchat, M., & Coupland, G. (2012). Spatially distinct regulatory roles for gibberellins in the promotion of flowering of Arabidopsis under long photoperiods. Development, 139(12), 2198-2209. doi:10.1242/dev.077164Preston, J. C., & Hileman, L. C. (2013). Functional Evolution in the Plant SQUAMOSA-PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Family. Frontiers in Plant Science, 4. doi:10.3389/fpls.2013.00080Reinecke, D. M., Wickramarathna, A. D., Ozga, J. A., Kurepin, L. V., Jin, A. L., Good, A. G., & Pharis, R. P. (2013). Gibberellin 3-oxidase Gene Expression Patterns Influence Gibberellin Biosynthesis, Growth, and Development in Pea. PLANT PHYSIOLOGY, 163(2), 929-945. doi:10.1104/pp.113.225987Rubio-Somoza, I., & Weigel, D. (2011). MicroRNA networks and developmental plasticity in plants. Trends in Plant Science, 16(5), 258-264. doi:10.1016/j.tplants.2011.03.001Rubio-Somoza, I., Zhou, C.-M., Confraria, A., Martinho, C., von Born, P., Baena-Gonzalez, E., … Weigel, D. (2014). Temporal Control of Leaf Complexity by miRNA-Regulated Licensing of Protein Complexes. Current Biology, 24(22), 2714-2719. doi:10.1016/j.cub.2014.09.058Salinas, M., Xing, S., Höhmann, S., Berndtgen, R., & Huijser, P. (2011). Genomic organization, phylogenetic comparison and differential expression of the SBP-box family of transcription factors in tomato. Planta, 235(6), 1171-1184. doi:10.1007/s00425-011-1565-ySarvepalli, K., & Nath, U. (2011). Hyper-activation of the TCP4 transcription factor in Arabidopsis thaliana accelerates multiple aspects of plant maturation. The Plant Journal, 67(4), 595-607. doi:10.1111/j.1365-313x.2011.04616.xSerrano-Mislata, A., Bencivenga, S., Bush, M., Schiessl, K., Boden, S., & Sablowski, R. (2017). DELLA genes restrict inflorescence meristem function independently of plant height. Nature Plants, 3(9), 749-754. doi:10.1038/s41477-017-0003-yShikata, M., & Ezura, H. (2016). Micro-Tom Tomato as an Alternative Plant Model System: Mutant Collection and Efficient Transformation. Methods in Molecular Biology, 47-55. doi:10.1007/978-1-4939-3115-6_5Stettler, R. F. (1964). DOSAGE EFFECTS OF THE LANCEOLATE GENE IN TOMATO. American Journal of Botany, 51(3), 253-264. doi:10.1002/j.1537-2197.1964.tb06628.xVarkonyi-Gasic, E., Wu, R., Wood, M., Walton, E. F., & Hellens, R. P. (2007). Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs. Plant Methods, 3(1), 12. doi:10.1186/1746-4811-3-12Vendemiatti, E., Zsögön, A., Silva, G. F. F. e, de Jesus, F. A., Cutri, L., Figueiredo, C. R. F., … Peres, L. E. P. (2017). Loss of type-IV glandular trichomes is a heterochronic trait in tomato and can be reverted by promoting juvenility. Plant Science, 259, 35-47. doi:10.1016/j.plantsci.2017.03.006Vicente, M. H., Zsögön, A., de Sá, A. F. L., Ribeiro, R. V., & Peres, L. E. P. (2015). Semi-determinate growth habit adjusts the vegetative-to-reproductive balance and increases productivity and water-use efficiency in tomato ( Solanum lycopersicum ). Journal of Plant Physiology, 177, 11-19. doi:10.1016/j.jplph.2015.01.003Wang, J.-W., Czech, B., & Weigel, D. (2009). miR156-Regulated SPL Transcription Factors Define an Endogenous Flowering Pathway in Arabidopsis thaliana. Cell, 138(4), 738-749. doi:10.1016/j.cell.2009.06.014Wilkie, J. D., Sedgley, M., & Olesen, T. (2008). Regulation of floral initiation in horticultural trees. Journal of Experimental Botany, 59(12), 3215-3228. doi:10.1093/jxb/ern188Yamaguchi, A., Wu, M.-F., Yang, L., Wu, G., Poethig, R. S., & Wagner, D. (2009). The MicroRNA-Regulated SBP-Box Transcription Factor SPL3 Is a Direct Upstream Activator of LEAFY, FRUITFULL, and APETALA1. Developmental Cell, 17(2), 268-278. doi:10.1016/j.devcel.2009.06.007Yamaguchi, N., Winter, C. M., Wu, M.-F., Kanno, Y., Yamaguchi, A., Seo, M., & Wagner, D. (2014). Gibberellin Acts Positively Then Negatively to Control Onset of Flower Formation in Arabidopsis. Science, 344(6184), 638-641. doi:10.1126/science.1250498Yamaguchi, S. (2008). Gibberellin Metabolism and its Regulation. Annual Review of Plant Biology, 59(1), 225-251. doi:10.1146/annurev.arplant.59.032607.092804Yamamoto, A., Nakamura, T., Adu-Gyamfi, J. J., & Saigusa, M. (2002). RELATIONSHIP BETWEEN CHLOROPHYLL CONTENT IN LEAVES OF SORGHUM AND PIGEONPEA DETERMINED BY EXTRACTION METHOD AND BY CHLOROPHYLL METER (SPAD-502). Journal of Plant Nutrition, 25(10), 2295-2301. doi:10.1081/pln-120014076Yanai, O., Shani, E., Russ, D., & Ori, N. (2011). Gibberellin partly mediates LANCEOLATE activity in tomato. The Plant Journal, 68(4), 571-582. doi:10.1111/j.1365-313x.2011.04716.xYu, S., Galvão, V. C., Zhang, Y.-C., Horrer, D., Zhang, T.-Q., Hao, Y.-H., … Wang, J.-W. (2012). Gibberellin Regulates the Arabidopsis Floral Transition through miR156-Targeted SQUAMOSA PROMOTER BINDING–LIKE Transcription Factors. The Plant Cell, 24(8), 3320-3332. doi:10.1105/tpc.112.101014Yuste-Lisbona, F. J., Quinet, M., Fernández-Lozano, A., Pineda, B., Moreno, V., Angosto, T., & Lozano, R. (2016). Characterization of vegetative inflorescence (mc-vin) mutant provides new insight into the role of MACROCALYX in regulating inflorescence development of tomato. Scientific Reports, 6(1). doi:10.1038/srep18796Zhang, S., Zhang, D., Fan, S., Du, L., Shen, Y., Xing, L., … Han, M. (2016). Effect of exogenous GA 3 and its inhibitor paclobutrazol on floral formation, endogenous hormones, and flowering-associated genes in ‘Fuji’ apple ( Malus domestica Borkh.). Plant Physiology and Biochemistry, 107, 178-186. doi:10.1016/j.plaphy.2016.06.005Zhang, X., Zou, Z., Zhang, J., Zhang, Y., Han, Q., Hu, T., … Ye, Z. (2010). Over-expression of sly-miR156a in tomato results in multiple vegetative and reproductive trait alterations and partial phenocopy of the sft mutant. FEBS Letters, 585(2), 435-439. doi:10.1016/j.febslet.2010.12.03

Environmentally friendly analysis of emerging contaminants by pressurized hot water extraction-stir bar sorptive extraction-derivatization and gas chromatography-mass spectrometry

This work describes the development, optimiza- tion, and validation of a new method for the simultaneous determination of a wide range of pharmaceuticals (beta- blockers, lipid regulators ... ) and personal care products (fragrances, UV filters, phthalates ... ) in both aqueous and solid environmental matrices. Target compounds were extracted from sediments using pressurized hot water ex- traction followed by stir bar sorptive extraction. The first stage was performed at 1,500 psi during three static extrac- tion cycles of 5 min each after optimizing the extraction temperature (50 – 150 °C) and addition of organic modifiers (% methanol) to water, the extraction solvent. Next, aqueous extracts and water samples were processed using polydime- thylsiloxane bars. Several parameters were optimized for this technique, including extraction and desorption time, ionic strength, presence of organic modifiers, and pH. Fi- nally, analytes were extracted from the bars by ultrasonic irradiation using a reduced amount of solvent (0.2 mL) prior to derivatization and gas chromatography – mass spectrome- try analysis. The optimized protocol uses minimal amounts of organic solvents (<10 mL/sample) and time ( ≈ 8 h/sam- ple) compared to previous ex isting methodologies. Low standard deviation (usually below 10 %) and limits of de- tection (sub-ppb) vouch for the applicability of the method- ology for the analysis of target compounds at trace levels. Once developed, the method was applied to determin

Demographic connectivity of sardine in the Bay of Biscay and Iberian coast region

Demographic connectivity in sardine populatio

Importance of TLR2 on Hepatic Immune and Non-Immune Cells to Attenuate the Strong Inflammatory Liver Response During Trypanosoma cruzi Acute Infection

Trypanosoma cruzi, an obligate intracellular protozoan, is the etiological agent of Chagas Disease that represents an important public health burden in Latin America. The infection with this parasite can lead to severe complications in cardiac, liver and gastrointestinal tissue depending on the strain of parasite and host genetics. Recently, we reported a fatal liver injury in T. cruzi infected B6 mice. However, the local immune response against this parasite is poorly understood. This work highlights some of the molecular and cellular mechanisms involved in liver pathology during the acute phase of infection. Using two mouse strains with different genetic backgrounds and responses to infection, B6 and BALB/c, we found that infected B6 mice develop a strong pro-inflammatory environment associated with high TLR9 expression. Conversely, infected BALB/c mice showed a more balanced inflammatory response in liver. Moreover, higher TLR2 and TLR4 expression were found only in hepatocytes from BALB/c. These data emphasize the importance of an adequate integration of signalling between immune and non-immune cells to define the outcome of infection. In addition, the pre-treatment with TLR2-agonist reverts the strong pro-inflammatory environment in T. cruzi infected B6 mice. These results could be useful in the understanding and design of novel immune strategies in controlling liver pathologies

Mining the Herschel-astrophysical terahertz large area survey : Submillimetre-selected blazars in equatorial fields

The Herschel-Astrophysical Terahertz Large Area Survey (H-ATLAS) provides an unprecedented opportunity to search for blazars at sub-mm wavelengths. We cross-matched the Faint Images of the Radio Sky at Twenty-cm (FIRST) radio source catalogue with the 11 655 sources brighter than 35 mJy at 500 μm in the ∼135 deg2 of the sky covered by the H-ATLAS equatorial fields at 9h and 15h, plus half of the field at 12h. We found that 379 of the H-ATLAS sources have a FIRST counterpart within 10 arcsec, including eight catalogued blazars (plus one known blazar that was found at the edge of one of the H-ATLAS maps). To search for additional blazar candidates we have devised new diagnostic diagrams and found that known blazars occupy a region of the log(S500μm/S350μm) versus log(S500μm/S1.4 GHz) plane separated from that of sub-mm sources with radio emission powered by star formation, but shared with radio galaxies and steep-spectrum radio quasars. Using this diagnostic we have selected 12 further possible candidates that turn out to be scattered in the (r-z) versus (u-r) plane or in the Wide-Field Infrared Survey Explorer colour-colour diagram, where known blazars are concentrated in well defined strips. This suggests that the majority of them are not blazars. Based on an inspection of all the available photometric data, including unpublished VISTA Kilo-degree Infrared Galaxy survey photometry and new radio observations, we found that the spectral energy distributions (SEDs) of only one out of the 12 newly selected sources are compatible with being synchrotron dominated at least up to 500 μm, i.e. with being a blazar. Another object may consist of a faint blazar nucleus inside a bright star-forming galaxy. The possibility that some blazar hosts are endowed with active star formation is supported by our analysis of the SEDs of Planck Early Release Compact Source Catalogue blazars detected at both 545 and 857 GHz. The estimated rest-frame synchrotron peak frequencies of H-ATLAS blazars are in the range 11.5 ≤ log (νpeak, Hz) ≤ 13.7, implying that these objects are low synchrotron peak. Six of them also show evidence of an ultraviolet excess that can be attributed to emission from the accretion disc. Allowing for the possibility of misidentifications and of contamination of the 500 μm flux density by the dusty torus or by the host galaxy, we estimate that there are seven or eight pure synchrotron sources brighter than S500μm = 35 mJy over the studied area, a result that sets important constraints on blazar evolutionary models.Peer reviewe

Measurements of differential cross sections of Z/gamma*+jets+X events in proton anti-proton collisions at sqrt{s}=1.96 TeV

We present cross section measurements for Z/gamma*+jets+X production, differential in the transverse momenta of the three leading jets. The data sample was collected with the D0 detector at the Fermilab Tevatron proton anti-proton collider at a center-of-mass energy of 1.96 TeV and corresponds to an integrated luminosity of 1 fb-1. Leading and next-to-leading order perturbative QCD predictions are compared with the measurements, and agreement is found within the theoretical and experimental uncertainties. We also make comparisons with the predictions of four event generators. Two parton-shower-based generators show significant shape and normalization differences with respect to the data. In contrast, two generators combining tree-level matrix elements with a parton shower give a reasonable description of the the shapes observed in data, but the predicted normalizations show significant differences with respect to the data, reflecting large scale uncertainties. For specific choices of scales, the normalizations for either generator can be made to agree with the measurements.Comment: Published in PLB. 11 pages, 3 figure

Intercalibration of the barrel electromagnetic calorimeter of the CMS experiment at start-up

Calibration of the relative response of the individual channels of the barrel electromagnetic calorimeter of the CMS detector was accomplished, before installation, with cosmic ray muons and test beams. One fourth of the calorimeter was exposed to a beam of high energy electrons and the relative calibration of the channels, the intercalibration, was found to be reproducible to a precision of about 0.3%. Additionally, data were collected with cosmic rays for the entire ECAL barrel during the commissioning phase. By comparing the intercalibration constants obtained with the electron beam data with those from the cosmic ray data, it is demonstrated that the latter provide an intercalibration precision of 1.5% over most of the barrel ECAL. The best intercalibration precision is expected to come from the analysis of events collected in situ during the LHC operation. Using data collected with both electrons and pion beams, several aspects of the intercalibration procedures based on electrons or neutral pions were investigated