440 research outputs found

    Polygalacturonase gene FaPG1 downregulation is related to increased strawberry fruit resistance to fungal decay

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    Plant health is a major target in breading programs because crops are under constant biotic stress, and climate change is exacerbating pests and disease negative impacts in agriculture. Obtaining crop varieties armed with better defences is a potential strategy to reduce losses from biotic attacks. Plant cell walls perform crucial roles on many physiological processes, and under biotic stress, play crucial defensive roles as protecting barrier, as well as a source of integrity signalling molecules. Plant immunity has evolved a complex multi-layered system which first line of defence is initiated by conserved molecular patterns coming from pathogens, named pathogen-associated molecular patterns or PAMPs, or from their own corrupted cell walls due to pathogen invasion, named damaged-associated molecular patterns or DAMPs. Accumulating evidence from cell wall mutants has unveiled several components and mechanisms of plant innate immunity under biotic stresses, mostly in Arabidopsis, but still little is known from species with agronomic interest as strawberry. Our group has an established strawberry transgenic collection of cell wall mutants. Among them, RNAseq expression profiles of FaPG1 mutants has shown downregulation of other cell wall related genes than PG [1], but the mechanisms underneath required further investigation. FaPG genes code for enzymes with endo-PG activity related to oligogalacturonic acid (OGA) release, which would be associated to the changes in gene expression of other cell wall genes than FaPG. In this work, postharvest assays of FaPG1 fruits showed not only the increased fruit firmness typical of this mutant, but a better resistance to fungal infections by Botrytis cinerea, enhancing fruit shelf life in comparison with control fruits.Universidad de MƔlaga. Campus de Excelencia Internacional Andalucƭa Tech

    Partial Activation of SA- and JA-Defensive Pathways in Strawberry upon Colletotrichum acutatum Interaction

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    [EN] Understanding the nature of pathogen host interaction may help improve strawberry (Fragaria x anahassa) cultivars. Plant resistance to pathogenic agents usually operates through a complex network of defense mechanisms mediated by a diverse array of signaling molecules. In strawberry, resistance to a variety of pathogens has been reported to be mostly polygenic and quantitatively inherited, making it difficult to associate molecular markers with disease resistance genes. Colletotrichum acutaturn spp. is a major strawberry pathogen, and completely resistant cultivars have not been reported. Moreover, strawberry defense network components and mechanisms remain largely unknown and poorly understood. Assessment of the strawberry response to C. acutatum included a global transcript analysis, and acidic hormones SA and JA measurements were analyzed after challenge with the pathogen. Induction of transcripts corresponding to the SA and JA signaling pathways and key genes controlling major steps within these defense pathways was detected. Accordingly, SA and JA accumulated in strawberry after infection. Contrastingly, induction of several important SA, JA, and oxidative stress-responsive defense genes, including FaPR1-1, FaLOX2, FaJAR1, FaPDF1, and FaGST1, was not detected, which suggests that specific branches in these defense pathways (those leading to FaPR1-2, FaPR2-1, FaPR2-2, FaAOS, FaPR5, and FaPR10) were activated. Our results reveal that specific aspects in SA and JA dependent signaling pathways are activated in strawberry upon interaction with C. acutatum. Certain described defense-associated transcripts related to these two known signaling pathways do not increase in abundance following infection. This finding suggests new insight into a specific putative molecular strategy for defense against this pathogen.Authors are grateful to Dr. JM Lopez-Aranda (IFAPA-Centro de Churriana) for providing micropropagated strawberry plants and to Nicolas Garcia-Caparros for technical assistance. Authors also want to thank Kevin M. Folta for his insightful comments on the paper. This work was supported by Junta de Andalucia, Spain [Proyectos de Excelencia P07-AGR-02482/P12-AGR-2174, and grants to Grupo-BIO278].Amil-Ruiz, F.; Garrido-Gala, J.; Gadea Vacas, J.; Blanco-Portales, R.; Munoz-Merida, A.; Trelles, O.; De Los Santos, B.... (2016). Partial Activation of SA- and JA-Defensive Pathways in Strawberry upon Colletotrichum acutatum Interaction. Frontiers in Plant Science. 7(1036). https://doi.org/10.3389/fpls.2016.01036S71036Acosta, I. F., & Farmer, E. E. (2010). Jasmonates. The Arabidopsis Book, 8, e0129. doi:10.1199/tab.0129Al-Shahrour, F., Diaz-Uriarte, R., & Dopazo, J. (2004). FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics, 20(4), 578-580. doi:10.1093/bioinformatics/btg455Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990). Basic local alignment search tool. Journal of Molecular Biology, 215(3), 403-410. doi:10.1016/s0022-2836(05)80360-2Amil-Ruiz, F., Blanco-Portales, R., MuƱoz-Blanco, J., & Caballero, J. L. (2011). The Strawberry Plant Defense Mechanism: A Molecular Review. Plant and Cell Physiology, 52(11), 1873-1903. doi:10.1093/pcp/pcr136Amil-Ruiz, F., Garrido-Gala, J., Blanco-Portales, R., Folta, K. M., MuƱoz-Blanco, J., & Caballero, J. L. (2013). Identification and Validation of Reference Genes for Transcript Normalization in Strawberry (Fragaria Ɨ ananassa) Defense Responses. PLoS ONE, 8(8), e70603. doi:10.1371/journal.pone.0070603Arroyo, F. T., Moreno, J., GarcĆ­a-Herdugo, G., Santos, B. D. los, Barrau, C., Porras, M., ā€¦ Romero, F. (2005). Ultrastructure of the early stages of Colletotrichum acutatum infection of strawberry tissues. Canadian Journal of Botany, 83(5), 491-500. doi:10.1139/b05-022Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., ā€¦ Sherlock, G. (2000). Gene Ontology: tool for the unification of biology. Nature Genetics, 25(1), 25-29. doi:10.1038/75556Aviv, D. H., RustĆ©rucci, C., Iii, B. F. H., Dietrich, R. A., Parker, J. E., & Dangl, J. L. (2002). Runaway cell death, but not basal disease resistance, inlsd1is SA- andNIM1/NPR1-dependent. The Plant Journal, 29(3), 381-391. doi:10.1046/j.0960-7412.2001.01225.xBak, S., Beisson, F., Bishop, G., Hamberger, B., Hƶfer, R., Paquette, S., & Werck-Reichhart, D. (2011). Cytochromes P450. The Arabidopsis Book, 9, e0144. doi:10.1199/tab.0144Baniwal, S. K., Bharti, K., Chan, K. Y., Fauth, M., Ganguli, A., Kotak, S., ā€¦ von Koskull-DƖring, P. (2004). Heat stress response in plants: a complex game with chaperones and more than twenty heat stress transcription factors. Journal of Biosciences, 29(4), 471-487. doi:10.1007/bf02712120Bhattacharjee, S. (2012). The Language of Reactive Oxygen Species Signaling in Plants. Journal of Botany, 2012, 1-22. doi:10.1155/2012/985298Birkenbihl, R. P., Diezel, C., & Somssich, I. E. (2012). Arabidopsis WRKY33 Is a Key Transcriptional Regulator of Hormonal and Metabolic Responses toward Botrytis cinerea Infection. Plant Physiology, 159(1), 266-285. doi:10.1104/pp.111.192641Caarls, L., Pieterse, C. M. J., & Van Wees, S. C. M. (2015). How salicylic acid takes transcriptional control over jasmonic acid signaling. Frontiers in Plant Science, 6. doi:10.3389/fpls.2015.00170Casado-DĆ­az, A., Encinas-Villarejo, S., Santos, B. de los, SchilirĆ², E., Yubero-Serrano, E.-M., Amil-RuĆ­z, F., ā€¦ Caballero, J.-L. (2006). Analysis of strawberry genes differentially expressed in response to Colletotrichum infection. Physiologia Plantarum, 128(4), 633-650. doi:10.1111/j.1399-3054.2006.00798.xCharng, Y., Liu, H., Liu, N., Chi, W., Wang, C., Chang, S., & Wang, T. (2006). A Heat-Inducible Transcription Factor, HsfA2, Is Required for Extension of Acquired Thermotolerance in Arabidopsis. Plant Physiology, 143(1), 251-262. doi:10.1104/pp.106.091322Chung, S. H., Rosa, C., Scully, E. D., Peiffer, M., Tooker, J. F., Hoover, K., ā€¦ Felton, G. W. (2013). Herbivore exploits orally secreted bacteria to suppress plant defenses. Proceedings of the National Academy of Sciences, 110(39), 15728-15733. doi:10.1073/pnas.1308867110Curry, K. J., Abril, M., Avant, J. B., & Smith, B. J. (2002). Strawberry Anthracnose: Histopathology of Colletotrichum acutatum and C. fragariae. PhytopathologyĀ®, 92(10), 1055-1063. doi:10.1094/phyto.2002.92.10.1055Debode, J., Van Hemelrijck, W., Baeyen, S., Creemers, P., Heungens, K., & Maes, M. (2009). Quantitative detection and monitoring ofColletotrichum acutatumin strawberry leaves using real-time PCR. Plant Pathology, 58(3), 504-514. doi:10.1111/j.1365-3059.2008.01987.xDempsey, D. A., & Klessig, D. F. (2012). SOS ā€“ too many signals for systemic acquired resistance? Trends in Plant Science, 17(9), 538-545. doi:10.1016/j.tplants.2012.05.011Dodds, P. N., & Rathjen, J. P. (2010). Plant immunity: towards an integrated view of plantā€“pathogen interactions. Nature Reviews Genetics, 11(8), 539-548. doi:10.1038/nrg2812Doehlemann, G., Wahl, R., Horst, R. J., Voll, L. M., Usadel, B., Poree, F., ā€¦ KƤmper, J. (2008). Reprogramming a maize plant: transcriptional and metabolic changes induced by the fungal biotroph Ustilago maydis. The Plant Journal, 56(2), 181-195. doi:10.1111/j.1365-313x.2008.03590.xDong, X. (2004). NPR1, all things considered. Current Opinion in Plant Biology, 7(5), 547-552. doi:10.1016/j.pbi.2004.07.005Durgbanshi, A., Arbona, V., Pozo, O., Miersch, O., Sancho, J. V., & GĆ³mez-Cadenas, A. (2005). Simultaneous Determination of Multiple Phytohormones in Plant Extracts by Liquid Chromatographyāˆ’Electrospray Tandem Mass Spectrometry. Journal of Agricultural and Food Chemistry, 53(22), 8437-8442. doi:10.1021/jf050884bEl Oirdi, M., El Rahman, T. A., Rigano, L., El Hadrami, A., Rodriguez, M. C., Daayf, F., ā€¦ Bouarab, K. (2011). Botrytis cinerea Manipulates the Antagonistic Effects between Immune Pathways to Promote Disease Development in Tomato. The Plant Cell, 23(6), 2405-2421. doi:10.1105/tpc.111.083394Encinas-Villarejo, S., Maldonado, A. M., Amil-Ruiz, F., de los Santos, B., Romero, F., Pliego-Alfaro, F., ā€¦ Caballero, J. L. (2009). Evidence for a positive regulatory role of strawberry (FragariaƗananassa) Fa WRKY1 and Arabidopsis At WRKY75 proteins in resistance. Journal of Experimental Botany, 60(11), 3043-3065. doi:10.1093/jxb/erp152Freeman, S., Horowitz, S., & Sharon, A. (2001). Pathogenic and Nonpathogenic Lifestyles in Colletotrichum acutatum from Strawberry and Other Plants. PhytopathologyĀ®, 91(10), 986-992. doi:10.1094/phyto.2001.91.10.986Freeman, S., Katan, T., & Shabi, E. (1998). Characterization of Colletotrichum Species Responsible for Anthracnose Diseases of Various Fruits. Plant Disease, 82(6), 596-605. doi:10.1094/pdis.1998.82.6.596Gfeller, A., Dubugnon, L., Liechti, R., & Farmer, E. E. (2010). Jasmonate Biochemical Pathway. Science Signaling, 3(109), cm3-cm3. doi:10.1126/scisignal.3109cm3Grellet-Bournonville, C. F., Martinez-Zamora, M. G., Castagnaro, A. P., & DĆ­az-Ricci, J. C. (2012). Temporal accumulation of salicylic acid activates the defense response against Colletotrichum in strawberry. Plant Physiology and Biochemistry, 54, 10-16. doi:10.1016/j.plaphy.2012.01.019Guidarelli, M., Carbone, F., Mourgues, F., Perrotta, G., Rosati, C., Bertolini, P., & Baraldi, E. (2011). Colletotrichum acutatum interactions with unripe and ripe strawberry fruits and differential responses at histological and transcriptional levels. Plant Pathology, 60(4), 685-697. doi:10.1111/j.1365-3059.2010.02423.xHeidrich, K., Wirthmueller, L., Tasset, C., Pouzet, C., Deslandes, L., & Parker, J. E. (2011). Arabidopsis EDS1 Connects Pathogen Effector Recognition to Cell Compartment-Specific Immune Responses. Science, 334(6061), 1401-1404. doi:10.1126/science.1211641Horowitz, S., Freeman, S., & Sharon, A. (2002). Use of Green Fluorescent Protein-Transgenic Strains to Study Pathogenic and Nonpathogenic Lifestyles in Colletotrichum acutatum. PhytopathologyĀ®, 92(7), 743-749. doi:10.1094/phyto.2002.92.7.743Ikeda, M., Mitsuda, N., & Ohme-Takagi, M. (2011). Arabidopsis HsfB1 and HsfB2b Act as Repressors of the Expression of Heat-Inducible Hsfs But Positively Regulate the Acquired Thermotolerance. Plant Physiology, 157(3), 1243-1254. doi:10.1104/pp.111.179036Ikeda, M., & Ohme-Takagi, M. (2009). A Novel Group of Transcriptional Repressors in Arabidopsis. Plant and Cell Physiology, 50(5), 970-975. doi:10.1093/pcp/pcp048Khan, A. A., & Shih, D. S. (2004). Molecular cloning, characterization, and expression analysis of two class II chitinase genes from the strawberry plant. Plant Science, 166(3), 753-762. doi:10.1016/j.plantsci.2003.11.015Krinke, O., Ruelland, E., ValentovĆ”, O., Vergnolle, C., Renou, J.-P., Taconnat, L., ā€¦ Zachowski, A. (2007). Phosphatidylinositol 4-Kinase Activation Is an Early Response to Salicylic Acid in Arabidopsis Suspension Cells. Plant Physiology, 144(3), 1347-1359. doi:10.1104/pp.107.100842Kubigsteltig, I., Laudert, D., & Weiler, E. W. (1999). Structure and regulation of the Arabidopsis thaliana allene oxide synthase gene. Planta, 208(4), 463-471. doi:10.1007/s004250050583Leandro, L. F. S., Gleason, M. L., Nutter, F. W., Wegulo, S. N., & Dixon, P. M. (2001). Germination and Sporulation of Colletotrichum acutatum on Symptomless Strawberry Leaves. PhytopathologyĀ®, 91(7), 659-664. doi:10.1094/phyto.2001.91.7.659Leon-Reyes, A., Van der Does, D., De Lange, E. S., Delker, C., Wasternack, C., Van Wees, S. C. M., ā€¦ Pieterse, C. M. J. (2010). Salicylate-mediated suppression of jasmonate-responsive gene expression in Arabidopsis is targeted downstream of the jasmonate biosynthesis pathway. Planta, 232(6), 1423-1432. doi:10.1007/s00425-010-1265-zLi, J., Brader, G., Kariola, T., & Tapio Palva, E. (2006). WRKY70 modulates the selection of signaling pathways in plant defense. The Plant Journal, 46(3), 477-491. doi:10.1111/j.1365-313x.2006.02712.xLi, J., Brader, G., & Palva, E. T. (2004). The WRKY70 Transcription Factor: A Node of Convergence for Jasmonate-Mediated and Salicylate-Mediated Signals in Plant Defense. The Plant Cell, 16(2), 319-331. doi:10.1105/tpc.016980Liu, P.-P., von Dahl, C. C., Park, S.-W., & Klessig, D. F. (2011). Interconnection between Methyl Salicylate and Lipid-Based Long-Distance Signaling during the Development of Systemic Acquired Resistance in Arabidopsis and Tobacco. Plant Physiology, 155(4), 1762-1768. doi:10.1104/pp.110.171694Lodha, T. D., & Basak, J. (2011). Plantā€“Pathogen Interactions: What Microarray Tells About It? Molecular Biotechnology, 50(1), 87-97. doi:10.1007/s12033-011-9418-2LĆ³pez-RĆ”ez, J. A., Verhage, A., FernĆ”ndez, I., GarcĆ­a, J. M., AzcĆ³n-Aguilar, C., Flors, V., & Pozo, M. J. (2010). Hormonal and transcriptional profiles highlight common and differential host responses to arbuscular mycorrhizal fungi and the regulation of the oxylipin pathway. Journal of Experimental Botany, 61(10), 2589-2601. doi:10.1093/jxb/erq089Maas, J. L. (Ed.). (1998). Compendium of Strawberry Diseases, Second Edition. doi:10.1094/9780890546178Makowski, R. M. D., & Mortensen, K. (1998). Latent infections and penetration of the bioherbicide agent Colletotrichum gloeosporioides f. sp. malvae in non-target field crops under controlled environmental conditions. Mycological Research, 102(12), 1545-1552. doi:10.1017/s0953756298006960Maleck, K., Levine, A., Eulgem, T., Morgan, A., Schmid, J., Lawton, K. A., ā€¦ Dietrich, R. A. (2000). The transcriptome of Arabidopsis thaliana during systemic acquired resistance. Nature Genetics, 26(4), 403-410. doi:10.1038/82521Marcel, S., Sawers, R., Oakeley, E., Angliker, H., & Paszkowski, U. (2010). Tissue-Adapted Invasion Strategies of the Rice Blast Fungus Magnaporthe oryzae. The Plant Cell, 22(9), 3177-3187. doi:10.1105/tpc.110.078048Ndamukong, I., Abdallat, A. A., Thurow, C., Fode, B., Zander, M., Weigel, R., & Gatz, C. (2007). SA-inducible Arabidopsis glutaredoxin interacts with TGA factors and suppresses JA-responsive PDF1.2 transcription. The Plant Journal, 50(1), 128-139. doi:10.1111/j.1365-313x.2007.03039.xPajerowska-Mukhtar, K. M., Wang, W., Tada, Y., Oka, N., Tucker, C. L., Fonseca, J. P., & Dong, X. (2012). The HSF-like Transcription Factor TBF1 Is a Major Molecular Switch for Plant Growth-to-Defense Transition. Current Biology, 22(2), 103-112. doi:10.1016/j.cub.2011.12.015Peļæ½a-Cortļæ½s, H., Barrios, P., Dorta, F., Polanco, V., Sļæ½nchez, C., Sļæ½nchez, E., & Ramļæ½rez, I. (2004). Involvement of Jasmonic Acid and Derivatives in Plant Response to Pathogen and Insects and in Fruit Ripening. Journal of Plant Growth Regulation, 23(3), 246-260. doi:10.1007/s00344-004-0035-1Pernas, M., Ryan, E., & Dolan, L. (2010). SCHIZORIZA Controls Tissue System Complexity in Plants. Current Biology, 20(9), 818-823. doi:10.1016/j.cub.2010.02.062Pieterse, C. M. J., Leon-Reyes, A., Van der Ent, S., & Van Wees, S. C. M. (2009). Networking by small-molecule hormones in plant immunity. Nature Chemical Biology, 5(5), 308-316. doi:10.1038/nchembio.164Rahman, T. A. E., Oirdi, M. E., Gonzalez-Lamothe, R., & Bouarab, K. (2012). Necrotrophic Pathogens Use the Salicylic Acid Signaling Pathway to Promote Disease Development in Tomato. Molecular Plant-Microbe InteractionsĀ®, 25(12), 1584-1593. doi:10.1094/mpmi-07-12-0187-rRen, C.-M., Zhu, Q., Gao, B.-D., Ke, S.-Y., Yu, W.-C., Xie, D.-X., & Peng, W. (2008). Transcription Factor WRKY70 Displays Important but No Indispensable Roles in Jasmonate and Salicylic Acid Signaling. Journal of Integrative Plant Biology, 50(5), 630-637. doi:10.1111/j.1744-7909.2008.00653.xRietz, S., Stamm, A., Malonek, S., Wagner, S., Becker, D., Medina-Escobar, N., ā€¦ Parker, J. E. (2011). Different roles of Enhanced Disease Susceptibility1 (EDS1) bound to and dissociated from Phytoalexin Deficient4 (PAD4) in Arabidopsis immunity. New Phytologist, 191(1), 107-119. doi:10.1111/j.1469-8137.2011.03675.xRobert-Seilaniantz, A., Grant, M., & Jones, J. D. G. (2011). Hormone Crosstalk in Plant Disease and Defense: More Than Just JASMONATE-SALICYLATE Antagonism. Annual Review of Phytopathology, 49(1), 317-343. doi:10.1146/annurev-phyto-073009-114447Cristina, M., Petersen, M., & Mundy, J. (2010). Mitogen-Activated Protein Kinase Signaling in Plants. Annual Review of Plant Biology, 61(1), 621-649. doi:10.1146/annurev-arplant-042809-112252Rouhier, N. (2006). Genome-wide analysis of plant glutaredoxin systems. Journal of Experimental Botany, 57(8), 1685-1696. doi:10.1093/jxb/erl001Ruepp, A. (2004). The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. Nucleic Acids Research, 32(18), 5539-5545. doi:10.1093/nar/gkh894Rusterucci, C. (2001). The Disease Resistance Signaling Components EDS1 and PAD4 Are Essential Regulators of the Cell Death Pathway Controlled by LSD1 in Arabidopsis. THE PLANT CELL ONLINE, 13(10), 2211-2224. doi:10.1105/tpc.13.10.2211Sarowar, S., Zhao, Y., Soria-Guerra, R. E., Ali, S., Zheng, D., Wang, D., & Korban, S. S. (2011). Expression profiles of differentially regulated genes during the early stages of apple flower infection with Erwinia amylovora. Journal of Experimental Botany, 62(14), 4851-4861. doi:10.1093/jxb/err147Sasaki, Y. (2001). Monitoring of Methyl Jasmonate-responsive Genes in Arabidopsis by cDNA Macroarray: Self-activation of Jasmonic Acid Biosynthesis and Crosstalk with Other Phytohormone Signaling Pathways. DNA Research, 8(4), 153-161. doi:10.1093/dnares/8.4.153Schenk, P. M., Kazan, K., Manners, J. M., Anderson, J. P., Simpson, R. S., Wilson, I. W., ā€¦ Maclean, D. J. (2003). Systemic Gene Expression in Arabidopsis during an Incompatible Interaction with Alternaria brassicicola. Plant Physiology, 132(2), 999-1010. doi:10.1104/pp.103.021683Simpson, D. W. (1991). Resistance toBotrytis cinereain pistillate genotypes of the cultivated strawberryFragaria ananassa. Journal of Horticultural Science, 66(6), 719-723. doi:10.1080/00221589.1991.11516203Shulaev, V., Sargent, D. J., Crowhurst, R. N., Mockler, T. C., Folkerts, O., Delcher, A. L., ā€¦ Mane, S. P. (2010). The genome of woodland strawberry (Fragaria vesca). Nature Genetics, 43(2), 109-116. doi:10.1038/ng.740Song, W. C., Funk, C. D., & Brash, A. R. (1993). Molecular cloning of an allene oxide synthase: a cytochrome P450 specialized for the metabolism of fatty acid hydroperoxides. Proceedings of the National Academy of Sciences, 90(18), 8519-8523. doi:10.1073/pnas.90.18.8519Spoel, S. H., & Dong, X. (2012). How do plants achieve immunity? Defence without specialized immune cells. Nature Reviews Immunology, 12(2), 89-100. doi:10.1038/nri3141Spoel, S. H., Johnson, J. S., & Dong, X. (2007). Regulation of tradeoffs between plant defenses against pathogens with different lifestyles. Proceedings of the National Academy of Sciences, 104(47), 18842-18847. doi:10.1073/pnas.0708139104Staswick, P. E., & Tiryaki, I. (2004). The Oxylipin Signal Jasmonic Acid Is Activated by an Enzyme That Conjugates It to Isoleucine in Arabidopsis. The Plant Cell, 16(8), 2117-2127. doi:10.1105/tpc.104.023549Ten Hove, C. A., Willemsen, V., de Vries, W. J., van Dijken, A., Scheres, B., & Heidstra, R. (2010). SCHIZORIZA Encodes a Nuclear Factor Regulating Asymmetry of Stem Cell Divisions in the Arabidopsis Root. Current Biology, 20(5), 452-457. doi:10.1016/j.cub.2010.01.018Turner, J. G., Ellis, C., & Devoto, A. (2002). The Jasmonate Signal Pathway. The Plant Cell, 14(suppl 1), S153-S164. doi:10.1105/tpc.000679Tusher, V. G., Tibshirani, R., & Chu, G. (2001). Significance analysis of microarrays applied to the ionizing radiation response. Proceedings of the National Academy of Sciences, 98(9), 5116-5121. doi:10.1073/pnas.091062498Uknes, S., Mauch-Mani, B., Moyer, M., Potter, S., Williams, S., Dincher, S., ā€¦ Ryals, J. (1992). Acquired resistance in Arabidopsis. The Plant Cell, 4(6), 645-656. doi:10.1105/tpc.4.6.645Vargas, W. A., MartĆ­n, J. M. S., Rech, G. E., Rivera, L. P., Benito, E. P., DĆ­az-MĆ­nguez, J. M., ā€¦ Sukno, S. A. (2012). Plant Defense Mechanisms Are Activated during Biotrophic and Necrotrophic Development of Colletotricum graminicola in Maize. Plant Physiology, 158(3), 1342-1358. doi:10.1104/pp.111.190397Venugopal, S. C., Jeong, R.-D., Mandal, M. K., Zhu, S., Chandra-Shekara, A. C., Xia, Y., ā€¦ Kachroo, P. (2009). Enhanced Disease Susceptibility 1 and Salicylic Acid Act Redundantly to Regulate Resistance Gene-Mediated Signaling. PLoS Genetics, 5(7), e1000545. doi:10.1371/journal.pgen.1000545Vlot, A. C., Liu, P.-P., Cameron, R. K., Park, S.-W., Yang, Y., Kumar, D., ā€¦ Klessig, D. F. (2008). Identification of likely orthologs of tobacco salicylic acid-binding protein 2 and their role in systemic acquired resistance inArabidopsis thaliana. The Plant Journal, 56(3), 445-456. doi:10.1111/j.1365-313x.2008.03618.xWang, D., Amornsiripanitch, N., & Dong, X. (2006). A Genomic Approach to Identify Regulatory Nodes in the Transcriptional Network of Systemic Acquired Resistance in Plants. PLoS Pathogens, 2(11), e123. doi:10.1371/journal.ppat.0020123Wang, D. (2005). Induction of Protein Secretory Pathway Is Required for Systemic Acquired Resistance. Science, 308(5724), 1036-1040. doi:10.1126/science.1108791Wang, G.-F., Seabolt, S., Hamdoun, S., Ng, G., Park, J., & Lu, H. (2011). Multiple Roles of WIN3 in Regulating Disease Resistance, Cell Death, and Flowering Time in Arabidopsis. Plant Physiology, 156(3), 1508-1519. doi:10.1104/pp.111.176776Wiermer, M., Feys, B. J., & Parker, J. E. (2005). Plant immunity: the EDS1 regulatory node. Current Opinion in Plant Biology, 8(4), 383-389. doi:10.1016/j.pbi.2005.05.010Windram, O., Madhou, P., McHattie, S., Hill, C., Hickman, R., Cooke, E., ā€¦ Denby, K. J. (2012). Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis. Th

    FaMYB123 interacts with FabHLH3 to regulate the late steps of anthocyanin and flavonol biosynthesis during ripening.

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    In this work, we identified and functionally characterized the strawberry (Fragaria Ɨ ananassa) R2R3 MYB transcription factor FaMYB123. As in most genes associated with organoleptic properties of ripe fruit, FaMYB123 expression is ripening-related, receptacle-specific, and antagonistically regulated by ABA and auxin. Knockdown of FaMYB123 expression by RNAi in ripe strawberry fruit receptacles downregulated the expression of enzymes involved in the late steps of anthocyanin/flavonoid biosynthesis. Transgenic fruits showed a parallel decrease in the contents of total anthocyanin and flavonoid, especially malonyl derivatives of pelargonidin and cyanidins. The decrease was concomitant with accumulation of proanthocyanin, propelargonidins, and other condensed tannins associated mainly with green receptacles. Potential coregulation between FaMYB123 and FaMYB10, which may act on different sets of genes for the enzymes involved in anthocyanin production, was explored. FaMYB123 and FabHLH3 were found to interact and to be involved in the transcriptional activation of FaMT1, a gene responsible for the malonylation of anthocyanin components during ripening. Taken together, these results demonstrate that FaMYB123 regulates the late steps of the flavonoid pathway in a specific manner. In this study, a new function for an R2R3 MYB transcription factor, regulating the expression of a gene that encodes a malonyltransferase, has been elucidated.This work was funded by the Spanish Ministerio de Ciencia e Innovacion (AGL2014-55784-C2-2-R and AGL2017-86531-C2-2-R). FJMR is supported by a ā€˜Margarita Salasā€™ post-doctoral fellowship (UCOR02MS) from the University of Cordoba (Requalification of the Spanish university system) from the Ministry of Universities financed by the European Union (NexGenerationEU). FJMH is supported by a ā€˜Juan de la Cierva-Incorporacionā€™ fellowship (IJC2020- 045526-I), funded by MCIN/AEI/10.13039/501100011033 and the European Union ā€˜NextGenerationEUā€™/PRTR. AR-F and SA are on the European Unionā€™s Horizon 2020 Research and Innovation Program, Project PlantaSYST (SGA-CSA No. 739582 under FPA No. 664620). The authors thank Dr. Gema Garc ıa from the Microscopy Unit of UCAIB-IMIBIC for technical help with the microscope. Funding for open access charge: University of Cordoba/CBUA.S

    TransformaciĆ³n vĆ­a Agrobacterium tumefaciens para inducir tolerancia a la podredumbre blanca del aguacate

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    ComunicaciĆ³n presentada en el VII World Avocado Congress, celebrado en Cairns (Australia) del 5 al 9 de septiembre de 2011.[EN] One of the most important limiting factors for avocado production in Spain is the disease caused by the fungus Rosellinia necatrix . Genetic manipulation could be useful for the introduction of fungal resistance traits into this crop. A n efficient Agrobacterium - mediated transformation protocol for avocado using AGL1 Agrobacterium strain and somatic embryos as the target material has been established by our group, although embryo conversion rate into plants needs to be improved. For that reason, we are using the strawberry, another Rosellinia necatrix Ģs host, as model species to test the effect of several transgenes (two of fungal origin, chit 42 chitinase and Ī² - 1,3 - glucanase from Trichoderma harzianum , and one of plant origin, At NPR1), on inducing tolerance to this fungus. Strawberry transformation with the Ī² - 1,3 - glucanase gene has allowed the selection of two lines, Ī²6 and Ī²10, with enhanced tolerance to R. necatrix while no positive results were obtained following transformation with the chit - 42 gene. In relation to the At NPR1 gene more than 30 independent transgenic lines have been obtained whose tolerance to R. necatrix is currently under evaluation. Concerning avocado transformation, more than 10 independent transgenic lines (derive d from an embryogenic line of an immature Duke7 zygotic embryo) have been obtained with At NPR1 gene. Plants have been recovered from one line and efforts are underway to recover plants from other lines following micrografting of the transgenic sprouted sho ots onto in vitro germinated seedlings.[ES] Uno de los factores limitantes de la producciĆ³n de aguacate en EspaƱa es la enfermedad causada por el hongo R. necatrix. La manipulaciĆ³n genĆ©tica podrĆ­a ser de utilidad para introducir caracteres de resistencia en este cultivo. Se ha establecido un sistema eficiente de transformaciĆ³n en aguacate usando la cepa de Agrobacterium AGL1 y cĆ©lulas embriogĆ©nicas como diana, sin embargo, la conversiĆ³n en plantas de los embriones transgĆ©nicos necesita ser mejorada. Por esta razĆ³n, estamos utilizando la fresa, otro huĆ©sped de R. necatrix, como especie modelo para testar el efecto de varios transgenes (2 de origen fĆŗngico, la quitinasa chit-42 y la Ī²-1,3-glucanasa de Trichoderma harzianum, y uno derivado de plantas, AtNPR1), en la inducciĆ³n de tolerancia a este patĆ³geno tras la transformaciĆ³n de esta especie. La transformaciĆ³n de fresa con el gen de Ī² -1,3-glucanasa ha permitido la selecciĆ³n de dos lĆ­neas, Ī²6 y Ī²10, con mayor tolerancia a R. necatrix, mientras que no se han obtenido resultados positivos con el gen chit-42. En relaciĆ³n con el gen AtNPR1, se han obtenido mĆ”s de 30 lĆ­neas transgĆ©nicas independientes, cuya tolerancia frente a R. necatrix se estĆ” evaluando en la actualidad. En relaciĆ³n con la transformaciĆ³n de aguacate, mĆ”s de 10 lĆ­neas transgĆ©nicas independientes (derivadas de una lĆ­nea embriogĆ©nica obtenida a partir de un embriĆ³n zigĆ³tico inmaduro del cv. Duke 7) se han obtenido con el gen AtNPR1. Se han recuperado plantas de una lĆ­nea y actualmente se estĆ” intentando recuperar plantas de otras lĆ­neas mediante microinjerto de los embriones transgĆ©nicos germinados.Este trabajo se ha realizado en el marco del proyecto AGL2008 - 05453 - C02 - 01/AGR.Peer Reviewe

    Use of ChIP-Seq data for the design of a multiple promoter-alignment method

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    We address the challenge of regulatory sequence alignment with a new method, Pro-Coffee, a multiple aligner specifically designed for homologous promoter regions. Pro-Coffee uses a dinucleotide substitution matrix estimated on alignments of functional binding sites from TRANSFAC. We designed a validation framework using several thousand families of orthologous promoters. This dataset was used to evaluate the accuracy for predicting true human orthologs among their paralogs. We found that whereas other methods achieve on average 73.5% accuracy, and 77.6% when trained on that same dataset, the figure goes up to 80.4% for Pro-Coffee. We then applied a novel validation procedure based on multi-species ChIP-seq data. Trained and untrained methods were tested for their capacity to correctly align experimentally detected binding sites. Whereas the average number of correctly aligned sites for two transcription factors is 284 for default methods and 316 for trained methods, Pro-Coffee achieves 331, 16.5% above the default average. We find a high correlation between a method's performance when classifying orthologs and its ability to correctly align proven binding sites. Not only has this interesting biological consequences, it also allows us to conclude that any method that is trained on the ortholog data set will result in functionally more informative alignments

    ORegAnno: an open-access community-driven resource for regulatory annotation

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    ORegAnno is an open-source, open-access database and literature curation system for community-based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. The current release comprises 30 145 records curated from 922 publications and describing regulatory sequences for over 3853 genes and 465 transcription factors from 19 species. A new feature called the ā€˜publication queueā€™ allows users to input relevant papers from scientific literature as targets for annotation. The queue contains 4438 gene regulation papers entered by experts and another 54 351 identified by text-mining methods. Users can enter or ā€˜check outā€™ papers from the queue for manual curation using a series of user-friendly annotation pages. A typical record entry consists of species, sequence type, sequence, target gene, binding factor, experimental outcome and one or more lines of experimental evidence. An evidence ontology was developed to describe and categorize these experiments. Records are cross-referenced to Ensembl or Entrez gene identifiers, PubMed and dbSNP and can be visualized in the Ensembl or UCSC genome browsers. All data are freely available through search pages, XML data dumps or web services at: http://www.oreganno.org

    A genome-wide association study follow-up suggests a possible role for PPARG in systemic sclerosis susceptibility

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    Introduction: A recent genome-wide association study (GWAS) comprising a French cohort of systemic sclerosis (SSc) reported several non-HLA single-nucleotide polymorphisms (SNPs) showing a nominal association in the discovery phase. We aimed to identify previously overlooked susceptibility variants by using a follow-up strategy.<p></p> Methods: Sixty-six non-HLA SNPs showing a P value <10-4 in the discovery phase of the French SSc GWAS were analyzed in the first step of this study, performing a meta-analysis that combined data from the two published SSc GWASs. A total of 2,921 SSc patients and 6,963 healthy controls were included in this first phase. Two SNPs, PPARG rs310746 and CHRNA9 rs6832151, were selected for genotyping in the replication cohort (1,068 SSc patients and 6,762 healthy controls) based on the results of the first step. Genotyping was performed by using TaqMan SNP genotyping assays. Results: We observed nominal associations for both PPARG rs310746 (PMHā€‰=ā€‰1.90ā€‰Ć—ā€‰10-6, OR, 1.28) and CHRNA9 rs6832151 (PMHā€‰=ā€‰4.30ā€‰Ć—ā€‰10-6, OR, 1.17) genetic variants with SSc in the first step of our study. In the replication phase, we observed a trend of association for PPARG rs310746 (P valueā€‰=ā€‰0.066; OR, 1.17). The combined overall Mantel-Haenszel meta-analysis of all the cohorts included in the present study revealed that PPARG rs310746 remained associated with SSc with a nominal non-genome-wide significant P value (PMHā€‰=ā€‰5.00ā€‰Ć—ā€‰10-7; OR, 1.25). No evidence of association was observed for CHRNA9 rs6832151 either in the replication phase or in the overall pooled analysis.<p></p> Conclusion: Our results suggest a role of PPARG gene in the development of SSc

    Towards resolving the transcription factor network controlling myelin gene expression

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    In the central nervous system (CNS), myelin is produced from spirally-wrapped oligodendrocyte plasma membrane and, as exemplified by the debilitating effects of inherited or acquired myelin abnormalities in diseases such as multiple sclerosis, it plays a critical role in nervous system function. Myelin sheath production coincides with rapid up-regulation of numerous genes. The complexity of their subsequent expression patterns, along with recently recognized heterogeneity within the oligodendrocyte lineage, suggest that the regulatory networks controlling such genes drive multiple context-specific transcriptional programs. Conferring this nuanced level of control likely involves a large repertoire of interacting transcription factors (TFs). Here, we combined novel strategies of computational sequence analyses with in vivo functional analysis to establish a TF network model of coordinate myelin-associated gene transcription. Notably, the network model captures regulatory DNA elements and TFs known to regulate oligodendrocyte myelin gene transcription and/or oligodendrocyte development, thereby validating our approach. Further, it links to numerous TFs with previously unsuspected roles in CNS myelination and suggests collaborative relationships amongst both known and novel TFs, thus providing deeper insight into the myelin gene transcriptional network

    Analysis of the association between CD40 and CD40 ligand polymorphisms and systemic sclerosis.

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    Introduction: The aim of the present study was to investigate the possible role of CD40 and CD40 ligand (CD40LG) genes in the susceptibility and phenotype expression of systemic sclerosis (SSc). Methods: In total, 2,670 SSc patients and 3,245 healthy individuals from four European populations (Spain, Germany, The Netherlands, and Italy) were included in the study. Five single-nucleotide polymorphisms (SNPs) of CD40 (rs1883832, rs4810485, rs1535045) and CD40LG (rs3092952, rs3092920) were genotyped by using a predesigned TaqMan allele-discrimination assay technology. Meta-analysis was assessed to determine whether an association exists between the genetic variants and SSc or its main clinical subtypes. Results: No evidence of association between CD40 and CD40LG genes variants and susceptibility to SSc was observed. Similarly, no significant statistical differences were observed when SSc patients were stratified by the clinical subtypes, the serologic features, and pulmonary fibrosis. Conclusions: Our results do not suggest an important role of CD40 and CD40LG gene polymorphisms in the susceptibility to or clinical expression of SSc

    Rheumatoid arthritis response to treatment across IgG1 allotype - anti-TNF incompatibility: a case-only study.

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    INTRODUCTION: We have hypothesized that incompatibility between the G1m genotype of the patient and the G1m1 and G1m17 allotypes carried by infliximab (INX) and adalimumab (ADM) could decrease the efficacy of these anti-tumor necrosis factor (anti-TNF) antibodies in the treatment of rheumatoid arthritis (RA). METHODS: The G1m genotypes were analyzed in three collections of patients with RA totaling 1037 subjects. The first, used for discovery, comprised 215 Spanish patients. The second and third were successively used for replication. They included 429 British and Greek patients and 393 Spanish and British patients, respectively. Two outcomes were considered: change in the Disease Activity Score in 28 joint (Ī”DAS28) and the European League Against Rheumatism (EULAR) response criteria. RESULTS: An association between less response to INX and incompatibility of the G1m1,17 allotype was found in the discovery collection at 6 months of treatment (P = 0.03). This association was confirmed in the replications (P = 0.02 and 0.08, respectively) leading to a global association (P = 0.001) that involved a mean difference in Ī”DAS28 of 0.4 units between compatible and incompatible patients (2.3 Ā± 1.5 in compatible patients vs. 1.9 Ā± 1.5 in incompatible patients) and an increase in responders and decrease in non-responders according to the EULAR criteria (P = 0.03). A similar association was suggested for patients treated with ADM in the discovery collection, but it was not supported by replication. CONCLUSIONS: Our results suggest that G1m1,17 allotypes are associated with response to INX and could aid improved therapeutic targeting in RA
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