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Migueletti MR, García Rey J, Micheloni J, Lomanto C, Martelli E, Sánchez G, Colombo JM, Vallecillo LM, Lamagni F, Giusti T, Acosta F, Villagrán F, Gvozdenovich M, Pricco Frakich A, Pianesi T, Tulin G, Mascali FC, Petitti TD, Torres Manno MA, Fusari CM, Buttigliero L, Giordana MF, Gramajo H, Diacovich L, Espariz M, Mussi MA. Complete genome sequence of the Microbacterium foliorum bacteriophage Garey24. Microbiol Resour Announc 2024; 13:e0121523. [PMID: 38315107 DOI: 10.1128/mra.01215-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 02/07/2024] Open
Abstract
In this work, we report the discovery and characterization of Garey24, a bacteriophage that forms medium-size plaques with halo rings isolated from a soil sample in Funes, Argentina. Its 41,522 bp circularly permuted genome contains 63 putative protein-coding genes. Based on gene content similarity, Garey24 was assigned to subcluster EA1.
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Affiliation(s)
- Matías R Migueletti
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Julieta García Rey
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Josefina Micheloni
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Camila Lomanto
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Elisa Martelli
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Gastón Sánchez
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Julián M Colombo
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Luciano M Vallecillo
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Francisco Lamagni
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Tomás Giusti
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Fabrina Acosta
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Franco Villagrán
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Martín Gvozdenovich
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Abril Pricco Frakich
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Tulio Pianesi
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Gonzalo Tulin
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Florencia C Mascali
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Tomás D Petitti
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Mariano A Torres Manno
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Corina M Fusari
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | | | | | - Hugo Gramajo
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Lautaro Diacovich
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - Martín Espariz
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
| | - María Alejandra Mussi
- Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
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Luzarowska U, Ruß AK, Joubès J, Batsale M, Szymański J, P Thirumalaikumar V, Luzarowski M, Wu S, Zhu F, Endres N, Khedhayir S, Schumacher J, Jasinska W, Xu K, Correa Cordoba SM, Weil S, Skirycz A, Fernie AR, Li-Beisson Y, Fusari CM, Brotman Y. Hello darkness, my old friend: 3-KETOACYL-COENZYME A SYNTHASE4 is a branch point in the regulation of triacylglycerol synthesis in Arabidopsis thaliana. Plant Cell 2023; 35:1984-2005. [PMID: 36869652 DOI: 10.1093/plcell/koad059] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 05/30/2023]
Abstract
Plant lipids are important as alternative sources of carbon and energy when sugars or starch are limited. Here, we applied combined heat and darkness or extended darkness to a panel of ∼300 Arabidopsis (Arabidopsis thaliana) accessions to study lipid remodeling under carbon starvation. Natural allelic variation at 3-KETOACYL-COENZYME A SYNTHASE4 (KCS4), a gene encoding an enzyme involved in very long chain fatty acid (VLCFA) synthesis, underlies the differential accumulation of polyunsaturated triacylglycerols (puTAGs) under stress. Ectopic expression of KCS4 in yeast and plants proved that KCS4 is a functional enzyme localized in the endoplasmic reticulum with specificity for C22 and C24 saturated acyl-CoA. Allelic mutants and transient overexpression in planta revealed the differential role of KCS4 alleles in VLCFA synthesis and leaf wax coverage, puTAG accumulation, and biomass. Moreover, the region harboring KCS4 is under high selective pressure and allelic variation at KCS4 correlates with environmental parameters from the locales of Arabidopsis accessions. Our results provide evidence that KCS4 plays a decisive role in the subsequent fate of fatty acids released from chloroplast membrane lipids under carbon starvation. This work sheds light on both plant response mechanisms and the evolutionary events shaping the lipidome under carbon starvation.
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Affiliation(s)
- Urszula Luzarowska
- Department of Life Sciences, Ben Gurion University of the Negev, 8410501 Beer-Sheva, Israel
| | - Anne-Kathrin Ruß
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Jérôme Joubès
- Laboratoire de Biogenèse Membranaire, UMR 5200, CNRS, University Bordeaux, F-33140 Villenave d'Ornon, France
| | - Marguerite Batsale
- Laboratoire de Biogenèse Membranaire, UMR 5200, CNRS, University Bordeaux, F-33140 Villenave d'Ornon, France
| | - Jędrzej Szymański
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, OT Gatersleben, 06466 Seeland, Germany
- IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428 Jülich, Germany
| | | | - Marcin Luzarowski
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Si Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Feng Zhu
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
- National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, P.R. China
| | - Niklas Endres
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Sarah Khedhayir
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Julia Schumacher
- Department for Plant Cell and Molecular Biology, Institute for Biology, Humboldt-Universität zu Berlin, Philippstraße 13, 10115 Berlin, Germany
| | - Weronika Jasinska
- Department of Life Sciences, Ben Gurion University of the Negev, 8410501 Beer-Sheva, Israel
| | - Ke Xu
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | | | - Simy Weil
- Department of Life Sciences, Ben Gurion University of the Negev, 8410501 Beer-Sheva, Israel
| | - Aleksandra Skirycz
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Alisdair Robert Fernie
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Yonghua Li-Beisson
- CEA, CNRS, BIAM, Institute de Biosciences et Biotechnologies Aix-Marseille, Aix Marseille Univ., F-13108 Saint Paul-Lez-Durance, France
| | - Corina M Fusari
- Centro de Estudios Fotosintéticos y Bioquímicos (CEFOBI-CONICET-UNR), Suipacha 570, S2000LRJ Rosario, Argentina
| | - Yariv Brotman
- Department of Life Sciences, Ben Gurion University of the Negev, 8410501 Beer-Sheva, Israel
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Blanco NE, Gollan PJ, Mengin V, Nikkanen L, Fusari CM. Editorial: A Novel Perspective for Photosystem I: An Emerging Hub for the Functional Integration of Photosynthesis and Metabolism. Front Plant Sci 2022; 13:871623. [PMID: 35498689 PMCID: PMC9039663 DOI: 10.3389/fpls.2022.871623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/14/2022] [Indexed: 06/14/2023]
Affiliation(s)
- Nicolás E. Blanco
- Centre of Photosynthetic and Biochemical Studies (CEFOBI-CONICET-UNR), Rosario, Argentina
| | - Peter J. Gollan
- Molecular Plant Biology, Department of Life Technologies, University of Turku, Turku, Finland
| | - Virginie Mengin
- Schools of Life Sciences, University of Essex, Colchester, United Kingdom
| | - Lauri Nikkanen
- Molecular Plant Biology, Department of Life Technologies, University of Turku, Turku, Finland
| | - Corina M. Fusari
- Centre of Photosynthetic and Biochemical Studies (CEFOBI-CONICET-UNR), Rosario, Argentina
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Pacheco JM, Ranocha P, Kasulin L, Fusari CM, Servi L, Aptekmann AA, Gabarain VB, Peralta JM, Borassi C, Marzol E, Rodríguez-Garcia DR, del Carmen Rondón Guerrero Y, Sardoy MC, Ferrero L, Botto JF, Meneses C, Ariel F, Nadra AD, Petrillo E, Dunand C, Estevez JM. Apoplastic class III peroxidases PRX62 and PRX69 promote Arabidopsis root hair growth at low temperature. Nat Commun 2022; 13:1310. [PMID: 35288564 PMCID: PMC8921275 DOI: 10.1038/s41467-022-28833-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 02/04/2022] [Indexed: 12/15/2022] Open
Abstract
AbstractRoot Hairs (RHs) growth is influenced by endogenous and by external environmental signals that coordinately regulate its final cell size. We have recently determined that RH growth was unexpectedly boosted when Arabidopsis thaliana seedlings are cultivated at low temperatures. It was proposed that RH growth plasticity in response to low temperature was linked to a reduced nutrient availability in the media. Here, we explore the molecular basis of this RH growth response by using a Genome Wide Association Study (GWAS) approach using Arabidopsis thaliana natural accessions. We identify the poorly characterized PEROXIDASE 62 (PRX62) and a related protein PRX69 as key proteins under moderate low temperature stress. Strikingly, a cell wall protein extensin (EXT) reporter reveals the effect of peroxidase activity on EXT cell wall association at 10 °C in the RH apical zone. Collectively, our results indicate that PRX62, and to a lesser extent PRX69, are key apoplastic PRXs that modulate ROS-homeostasis and cell wall EXT-insolubilization linked to RH elongation at low temperature.
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Filippi CV, Zubrzycki JE, Di Rienzo JA, Quiroz F, Fusari CM, Alvarez D, Maringolo CA, Cordes D, Escande A, Hopp HE, Heinz RA, Lia VV, Paniego NB. Phenotyping Sunflower Genetic Resources for Sclerotinia Head Rot Response: Assessing Variability for Disease Resistance Breeding. Plant Dis 2017; 101:1941-1948. [PMID: 30677319 DOI: 10.1094/pdis-12-16-1784-re] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Sclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period, and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P < 0.001). In addition, principal component analysis (PCA) and distance-based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.
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Affiliation(s)
- C V Filippi
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
| | - J E Zubrzycki
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina
| | - J A Di Rienzo
- Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Ing Agr. Felix Aldo Marrone 746 (5000), Córdoba, Argentina
| | - F Quiroz
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - C M Fusari
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1 (14476), Potsdam, Germany
| | - D Alvarez
- Estación Experimental Agropecuaria INTA Manfredi, Ruta 9 Km 636 (5988), Manfredi, Córdoba, Argentina
| | - C A Maringolo
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - D Cordes
- Estación Experimental Agropecuaria INTA Manfredi, Ruta 9 Km 636 (5988), Manfredi, Córdoba, Argentina
| | - A Escande
- Estación Experimental Agropecuaria INTA Balcarce, Ruta 226 Km 73.5 (7620), Balcarce. Buenos Aires, Argentina
| | - H E Hopp
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina
| | - R A Heinz
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
| | - V V Lia
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, Intendente Güiraldes 2160, (1428), Ciudad Autónoma de Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
| | - N B Paniego
- Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires, Argentina; and Consejo Nacional de Investigaciones Científicas y Técnicas-CONICET
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Fusari CM, Kooke R, Lauxmann MA, Annunziata MG, Enke B, Hoehne M, Krohn N, Becker FFM, Schlereth A, Sulpice R, Stitt M, Keurentjes JJB. Genome-Wide Association Mapping Reveals That Specific and Pleiotropic Regulatory Mechanisms Fine-Tune Central Metabolism and Growth in Arabidopsis. Plant Cell 2017; 29:2349-2373. [PMID: 28954812 PMCID: PMC5774568 DOI: 10.1105/tpc.17.00232] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 08/30/2017] [Accepted: 09/25/2017] [Indexed: 05/18/2023]
Abstract
Central metabolism is a coordinated network that is regulated at multiple levels by resource availability and by environmental and developmental cues. Its genetic architecture has been investigated by mapping metabolite quantitative trait loci (QTL). A more direct approach is to identify enzyme activity QTL, which distinguishes between cis-QTL in structural genes encoding enzymes and regulatory trans-QTL. Using genome-wide association studies, we mapped QTL for 24 enzyme activities, nine metabolites, three structural components, and biomass in Arabidopsis thaliana We detected strong cis-QTL for five enzyme activities. A cis-QTL for UDP-glucose pyrophosphorylase activity in the UGP1 promoter is maintained through balancing selection. Variation in acid invertase activity reflects multiple evolutionary events in the promoter and coding region of VAC-INVcis-QTL were also detected for ADP-glucose pyrophosphorylase, fumarase, and phosphoglucose isomerase activity. We detected many trans-QTL, including transcription factors, E3 ligases, protein targeting components, and protein kinases, and validated some by knockout analysis. trans-QTL are more frequent but tend to have smaller individual effects than cis-QTL. We detected many colocalized QTL, including a multitrait QTL on chromosome 4 that affects six enzyme activities, three metabolites, protein, and biomass. These traits are coordinately modified by different ACCELERATED CELL DEATH6 alleles, revealing a trade-off between metabolism and defense against biotic stress.
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Affiliation(s)
- Corina M Fusari
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Rik Kooke
- Laboratory of Genetics, Wageningen University, 6708 PB Wageningen, The Netherlands
- Centre for Biosystems Genomics, Wageningen Campus, 6708 PB Wageningen, The Netherlands
| | - Martin A Lauxmann
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | | | - Beatrice Enke
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Melanie Hoehne
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Nicole Krohn
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Frank F M Becker
- Laboratory of Genetics, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Armin Schlereth
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Ronan Sulpice
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Mark Stitt
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Joost J B Keurentjes
- Laboratory of Genetics, Wageningen University, 6708 PB Wageningen, The Netherlands
- Centre for Biosystems Genomics, Wageningen Campus, 6708 PB Wageningen, The Netherlands
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7
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Wu S, Alseekh S, Cuadros-Inostroza Á, Fusari CM, Mutwil M, Kooke R, Keurentjes JB, Fernie AR, Willmitzer L, Brotman Y. Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana. PLoS Genet 2016; 12:e1006363. [PMID: 27760136 PMCID: PMC5070769 DOI: 10.1371/journal.pgen.1006363] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 09/13/2016] [Indexed: 01/12/2023] Open
Abstract
Plant primary metabolism is a highly coordinated, central, and complex network of biochemical processes regulated at both the genetic and post-translational levels. The genetic basis of this network can be explored by analyzing the metabolic composition of genetically diverse genotypes in a given plant species. Here, we report an integrative strategy combining quantitative genetic mapping and metabolite‒transcript correlation networks to identify functional associations between genes and primary metabolites in Arabidopsis thaliana. Genome-wide association study (GWAS) was used to identify metabolic quantitative trait loci (mQTL). Correlation networks built using metabolite and transcript data derived from a previously published time-course stress study yielded metabolite‒transcript correlations identified by covariation. Finally, results obtained in this study were compared with mQTL previously described. We applied a statistical framework to test and compare the performance of different single methods (network approach and quantitative genetics methods, representing the two orthogonal approaches combined in our strategy) with that of the combined strategy. We show that the combined strategy has improved performance manifested by increased sensitivity and accuracy. This combined strategy allowed the identification of 92 candidate associations between structural genes and primary metabolites, which not only included previously well-characterized gene‒metabolite associations, but also revealed novel associations. Using loss-of-function mutants, we validated two of the novel associations with genes involved in tyrosine degradation and in β-alanine metabolism. In conclusion, we demonstrate that applying our integrative strategy to the largely untapped resource of metabolite-transcript associations can facilitate the discovery of novel metabolite-related genes. This integrative strategy is not limited to A. thaliana, but generally applicable to other plant species.
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Affiliation(s)
- Si Wu
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Álvaro Cuadros-Inostroza
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
- MetaSysX GmbH, Potsdam-Golm, Germany
| | - Corina M. Fusari
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Marek Mutwil
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Rik Kooke
- Laboratory of Genetics, Wageningen University, Wageningen, the Netherlands
| | | | - Alisdair R. Fernie
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Lothar Willmitzer
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Yariv Brotman
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
- Department of Life Sciences, Ben Gurion University of the Negev, Beersheva, Israel
- * E-mail:
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8
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Locatelli DA, Nazareno MA, Fusari CM, Camargo AB. Cooked garlic and antioxidant activity: Correlation with organosulfur compound composition. Food Chem 2016; 220:219-224. [PMID: 27855892 DOI: 10.1016/j.foodchem.2016.10.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 08/31/2016] [Accepted: 10/03/2016] [Indexed: 01/25/2023]
Abstract
The antioxidant properties and the main beneficial organosulphur compounds of home-cooked garlic samples were studied in order to establish relationships between them. Antioxidant activity was tested by free radical scavenging against 2,2-diphenyl-1-picrylhydrazyl radical (DPPH) and 2,2'-azino-bis-(3-ethylbenzo-thiazoline-6-sulfonic acid) diammonium salt (ABTS+), Fe(III) reducing ability (FRAP) and linoleic acid co-oxidation initiated by soybean lipoxygenase in a micelle system. DPPH, ABTS and FRAP assays showed the highest activity for raw garlic samples, while β-carotene bleaching assay yielded the highest activity for stir-fried garlic. Pure organosulphur compounds tested by DPPH, FRAP and β-carotene bleaching assays showed that allicin had an antiradical action mechanism, as well as iron reducing capacity; while antioxidant activity was the main mechanism for ajoenes and 2-VD. To our knowledge, this study is the first demonstration that home-cooked garlic retains its antioxidant activity, and, at the same time, elucidates the mechanisms involved in this activity.
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Affiliation(s)
- D A Locatelli
- Instituto de Biología Agrícola de Mendoza (IBAM) - CONICET, Mendoza, Argentina; Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Alte. Brown 500, 5505, Chacras de Coria, Mendoza, Argentina
| | - M A Nazareno
- Laboratorio de Antioxidantes y Procesos Oxidativos (CIDSE-CONICET-UNSE), Santiago del Estero, Argentina
| | - C M Fusari
- Instituto de Biología Agrícola de Mendoza (IBAM) - CONICET, Mendoza, Argentina; Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Alte. Brown 500, 5505, Chacras de Coria, Mendoza, Argentina
| | - A B Camargo
- Instituto de Biología Agrícola de Mendoza (IBAM) - CONICET, Mendoza, Argentina; Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Alte. Brown 500, 5505, Chacras de Coria, Mendoza, Argentina; Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Argentina.
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Filippi CV, Aguirre N, Rivas JG, Zubrzycki J, Puebla A, Cordes D, Moreno MV, Fusari CM, Alvarez D, Heinz RA, Hopp HE, Paniego NB, Lia VV. Population structure and genetic diversity characterization of a sunflower association mapping population using SSR and SNP markers. BMC Plant Biol 2015; 15:52. [PMID: 25848813 PMCID: PMC4351844 DOI: 10.1186/s12870-014-0360-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Accepted: 11/27/2014] [Indexed: 05/20/2023]
Abstract
BACKGROUND Argentina has a long tradition of sunflower breeding, and its germplasm is a valuable genetic resource worldwide. However, knowledge of the genetic constitution and variability levels of the Argentinean germplasm is still scarce, rendering the global map of cultivated sunflower diversity incomplete. In this study, 42 microsatellite loci and 384 single nucleotide polymorphisms (SNPs) were used to characterize the first association mapping population used for quantitative trait loci mapping in sunflower, along with a selection of allied open-pollinated and composite populations from the germplasm bank of the National Institute of Agricultural Technology of Argentina. The ability of different kinds of markers to assess genetic diversity and population structure was also evaluated. RESULTS The analysis of polymorphism in the set of sunflower accessions studied here showed that both the microsatellites and SNP markers were informative for germplasm characterization, although to different extents. In general, the estimates of genetic variability were moderate. The average genetic diversity, as quantified by the expected heterozygosity, was 0.52 for SSR loci and 0.29 for SNPs. Within SSR markers, those derived from non-coding regions were able to capture higher levels of diversity than EST-SSR. A significant correlation was found between SSR and SNP- based genetic distances among accessions. Bayesian and multivariate methods were used to infer population structure. Evidence for the existence of three different genetic groups was found consistently across data sets (i.e., SSR, SNP and SSR + SNP), with the maintainer/restorer status being the most prevalent characteristic associated with group delimitation. CONCLUSION The present study constitutes the first report comparing the performance of SSR and SNP markers for population genetics analysis in cultivated sunflower. We show that the SSR and SNP panels examined here, either used separately or in conjunction, allowed consistent estimations of genetic diversity and population structure in sunflower breeding materials. The generated knowledge about the levels of diversity and population structure of sunflower germplasm is an important contribution to this crop breeding and conservation.
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Affiliation(s)
- Carla V Filippi
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Consejo Nacional de Investigaciones Científicas y Técnicas–CONICET, Saavedra 15, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina
| | - Natalia Aguirre
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
| | - Juan G Rivas
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
| | - Jeremias Zubrzycki
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Consejo Nacional de Investigaciones Científicas y Técnicas–CONICET, Saavedra 15, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina
| | - Andrea Puebla
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
| | - Diego Cordes
- />Estación Experimental Agropecuaria Manfredi, Ruta Nac. nro. 9 km 636 (5988), Manfredi, Córdoba (INTA) Argentina
| | - Maria V Moreno
- />Estación Experimental Agropecuaria Manfredi, Ruta Nac. nro. 9 km 636 (5988), Manfredi, Córdoba (INTA) Argentina
| | - Corina M Fusari
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Currently at System Regulation Group, Metabolic Networks Department, Max Planck Institute of Molecular Plant Physiology, Am Mühlemberg 1, D-14476 Potsdam-Golm, Germany
| | - Daniel Alvarez
- />Estación Experimental Agropecuaria Manfredi, Ruta Nac. nro. 9 km 636 (5988), Manfredi, Córdoba (INTA) Argentina
| | - Ruth A Heinz
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Consejo Nacional de Investigaciones Científicas y Técnicas–CONICET, Saavedra 15, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina
- />Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2, Ciudad Universitaria (1428), Buenos Aires, Argentina
| | - Horacio E Hopp
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2, Ciudad Universitaria (1428), Buenos Aires, Argentina
| | - Norma B Paniego
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Consejo Nacional de Investigaciones Científicas y Técnicas–CONICET, Saavedra 15, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina
| | - Veronica V Lia
- />Instituto de Biotecnología, Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolás Repetto y Los Reseros s/n (1686), Hurlingham, Buenos Aires Argentina
- />Consejo Nacional de Investigaciones Científicas y Técnicas–CONICET, Saavedra 15, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina
- />Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2, Ciudad Universitaria (1428), Buenos Aires, Argentina
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Kleessen S, Laitinen R, Fusari CM, Antonio C, Sulpice R, Fernie AR, Stitt M, Nikoloski Z. Metabolic efficiency underpins performance trade-offs in growth of Arabidopsis thaliana. Nat Commun 2014; 5:3537. [PMID: 24675291 DOI: 10.1038/ncomms4537] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 03/04/2014] [Indexed: 12/11/2022] Open
Abstract
Growth often involves a trade-off between the performance of contending tasks; metabolic plasticity can play an important role. Here we grow 97 Arabidopsis thaliana accessions in three conditions with a differing supply of carbon and nitrogen and identify a trade-off between two tasks required for rosette growth: increasing the physical size and increasing the protein concentration. We employ the Pareto performance frontier concept to rank accessions based on their multitask performance; only a few accessions achieve a good trade-off under all three growth conditions. We determine metabolic efficiency in each accession and condition by using metabolite levels and activities of enzymes involved in growth and protein synthesis. We demonstrate that accessions with high metabolic efficiency lie closer to the performance frontier and show increased metabolic plasticity. We illustrate how public domain data can be used to search for additional contending tasks, which may underlie the sub-optimality in some accessions.
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Affiliation(s)
- Sabrina Kleessen
- Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany
| | - Roosa Laitinen
- Molecular Mechanisms of Adaptation Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany
| | - Corina M Fusari
- 1] System Regulation Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany [2] Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), Nicolas Repetto y de los Reseros s/n, 1686, Hurlingham, Buenos Aires, Argentina
| | - Carla Antonio
- 1] Central Metabolism Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany [2] Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Avenue da República, 2780-157 Oeiras, Portugal
| | - Ronan Sulpice
- 1] System Regulation Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany [2] NUI Galway, Plant Systems Biology Lab, Plant and AgriBiosciences Research Centre, Botany and Plant Science, C311 Aras de Brun, Galway, Ireland
| | - Alisdair R Fernie
- Central Metabolism Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany
| | - Mark Stitt
- System Regulation Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany
| | - Zoran Nikoloski
- Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm D-14476, Germany
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Fusari CM, Di Rienzo JA, Troglia C, Nishinakamasu V, Moreno MV, Maringolo C, Quiroz F, Álvarez D, Escande A, Hopp E, Heinz R, Lia VV, Paniego NB. Association mapping in sunflower for Sclerotinia Head Rot resistance. BMC Plant Biol 2012; 12:93. [PMID: 22708963 PMCID: PMC3778846 DOI: 10.1186/1471-2229-12-93] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2011] [Accepted: 05/21/2012] [Indexed: 05/04/2023]
Abstract
BACKGROUND Sclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promising choice for Quantitative Trait Locus (QTL) mapping, as it detects relationships between phenotypic variation and gene polymorphisms in existing germplasm without development of mapping populations. This article reports the identification of QTL for resistance to SHR based on candidate gene AM. RESULTS A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen Sclerotinia sclerotiorum. Given that no biological mechanisms or biochemical pathways have been clearly identified for SHR, 43 candidate genes were selected based on previous transcript profiling studies in sunflower and Brassica napus infected with S. sclerotiorum. Associations among SHR incidence and haplotype polymorphisms in 16 candidate genes were tested using Mixed Linear Models (MLM) that account for population structure and kinship relationships. This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20 %. CONCLUSIONS These results suggest that AM will be useful in dissecting other complex traits in sunflower, thus providing a valuable tool to assist in crop breeding.
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Affiliation(s)
- Corina M Fusari
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
| | - Julio A Di Rienzo
- Cátedra de Estadística y Biometría, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina
| | - Carolina Troglia
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Verónica Nishinakamasu
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
| | - María Valeria Moreno
- Estación Experimental Agropecuaria Manfredi, INTA, 5988, Manfredi, Córdoba, Argentina
| | - Carla Maringolo
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Facundo Quiroz
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Daniel Álvarez
- Estación Experimental Agropecuaria Manfredi, INTA, 5988, Manfredi, Córdoba, Argentina
| | - Alberto Escande
- Estación Experimental Agropecuaria Balcarce, INTA, 7620, Balcarce, Buenos Aires, Argentina
| | - Esteban Hopp
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Ruth Heinz
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Verónica V Lia
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Norma B Paniego
- Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), 1686, Hurlingham, Buenos Aires, Argentina
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12
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Fusari CM, Lia VV, Hopp HE, Heinz RA, Paniego NB. Identification of single nucleotide polymorphisms and analysis of linkage disequilibrium in sunflower elite inbred lines using the candidate gene approach. BMC Plant Biol 2008; 8:7. [PMID: 18215288 PMCID: PMC2266750 DOI: 10.1186/1471-2229-8-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2007] [Accepted: 01/23/2008] [Indexed: 05/04/2023]
Abstract
BACKGROUND Association analysis is a powerful tool to identify gene loci that may contribute to phenotypic variation. This includes the estimation of nucleotide diversity, the assessment of linkage disequilibrium structure (LD) and the evaluation of selection processes. Trait mapping by allele association requires a high-density map, which could be obtained by the addition of Single Nucleotide Polymorphisms (SNPs) and short insertion and/or deletions (indels) to SSR and AFLP genetic maps. Nucleotide diversity analysis of randomly selected candidate regions is a promising approach for the success of association analysis and fine mapping in the sunflower genome. Moreover, knowledge of the distance over which LD persists, in agronomically meaningful sunflower accessions, is important to establish the density of markers and the experimental design for association analysis. RESULTS A set of 28 candidate genes related to biotic and abiotic stresses were studied in 19 sunflower inbred lines. A total of 14,348 bp of sequence alignment was analyzed per individual. In average, 1 SNP was found per 69 nucleotides and 38 indels were identified in the complete data set. The mean nucleotide polymorphism was moderate (theta = 0.0056), as expected for inbred materials. The number of haplotypes per region ranged from 1 to 9 (mean = 3.54 +/- 1.88). Model-based population structure analysis allowed detection of admixed individuals within the set of accessions examined. Two putative gene pools were identified (G1 and G2), with a large proportion of the inbred lines being assigned to one of them (G1). Consistent with the absence of population sub-structuring, LD for G1 decayed more rapidly (r2 = 0.48 at 643 bp; trend line, pooled data) than the LD trend line for the entire set of 19 individuals (r2 = 0.64 for the same distance). CONCLUSION Knowledge about the patterns of diversity and the genetic relationships between breeding materials could be an invaluable aid in crop improvement strategies. The relatively high frequency of SNPs within the elite inbred lines studied here, along with the predicted extent of LD over distances of 100 kbp (r2 approximately 0.1) suggest that high resolution association mapping in sunflower could be achieved with marker densities lower than those usually reported in the literature.
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Affiliation(s)
- Corina M Fusari
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina
| | - Verónica V Lia
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - H Esteban Hopp
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Ruth A Heinz
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Norma B Paniego
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina
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Fusari CM, Lia VV, Hopp HE, Heinz RA, Paniego NB. Identification of single nucleotide polymorphisms and analysis of linkage disequilibrium in sunflower elite inbred lines using the candidate gene approach. BMC Plant Biol 2008; 8:7. [PMID: 18215288 DOI: 10.1186/147-2229.8-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/22/2007] [Accepted: 01/23/2008] [Indexed: 05/20/2023]
Abstract
BACKGROUND Association analysis is a powerful tool to identify gene loci that may contribute to phenotypic variation. This includes the estimation of nucleotide diversity, the assessment of linkage disequilibrium structure (LD) and the evaluation of selection processes. Trait mapping by allele association requires a high-density map, which could be obtained by the addition of Single Nucleotide Polymorphisms (SNPs) and short insertion and/or deletions (indels) to SSR and AFLP genetic maps. Nucleotide diversity analysis of randomly selected candidate regions is a promising approach for the success of association analysis and fine mapping in the sunflower genome. Moreover, knowledge of the distance over which LD persists, in agronomically meaningful sunflower accessions, is important to establish the density of markers and the experimental design for association analysis. RESULTS A set of 28 candidate genes related to biotic and abiotic stresses were studied in 19 sunflower inbred lines. A total of 14,348 bp of sequence alignment was analyzed per individual. In average, 1 SNP was found per 69 nucleotides and 38 indels were identified in the complete data set. The mean nucleotide polymorphism was moderate (theta = 0.0056), as expected for inbred materials. The number of haplotypes per region ranged from 1 to 9 (mean = 3.54 +/- 1.88). Model-based population structure analysis allowed detection of admixed individuals within the set of accessions examined. Two putative gene pools were identified (G1 and G2), with a large proportion of the inbred lines being assigned to one of them (G1). Consistent with the absence of population sub-structuring, LD for G1 decayed more rapidly (r2 = 0.48 at 643 bp; trend line, pooled data) than the LD trend line for the entire set of 19 individuals (r2 = 0.64 for the same distance). CONCLUSION Knowledge about the patterns of diversity and the genetic relationships between breeding materials could be an invaluable aid in crop improvement strategies. The relatively high frequency of SNPs within the elite inbred lines studied here, along with the predicted extent of LD over distances of 100 kbp (r2 approximately 0.1) suggest that high resolution association mapping in sunflower could be achieved with marker densities lower than those usually reported in the literature.
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Affiliation(s)
- Corina M Fusari
- Instituto Nacional de Tecnología Agropecuaria, Instituto de Biotecnología (CNIA), CC 25, Castelar (B1712WAA), Buenos Aires, Argentina.
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Ballicora MA, Erben ED, Yazaki T, Bertolo AL, Demonte AM, Schmidt JR, Aleanzi M, Bejar CM, Figueroa CM, Fusari CM, Iglesias AA, Preiss J. Identification of regions critically affecting kinetics and allosteric regulation of the Escherichia coli ADP-glucose pyrophosphorylase by modeling and pentapeptide-scanning mutagenesis. J Bacteriol 2007; 189:5325-33. [PMID: 17496097 PMCID: PMC1951854 DOI: 10.1128/jb.00481-07] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2007] [Accepted: 04/30/2007] [Indexed: 11/20/2022] Open
Abstract
ADP-glucose pyrophosphorylase (ADP-Glc PPase) is the enzyme responsible for the regulation of bacterial glycogen synthesis. To perform a structure-function relationship study of the Escherichia coli ADP-Glc PPase enzyme, we studied the effects of pentapeptide insertions at different positions in the enzyme and analyzed the results with a homology model. We randomly inserted 15 bp in a plasmid with the ADP-Glc PPase gene. We obtained 140 modified plasmids with single insertions of which 21 were in the coding region of the enzyme. Fourteen of them generated insertions of five amino acids, whereas the other seven created a stop codon and produced truncations. Correlation of ADP-Glc PPase activity to these modifications validated the enzyme model. Six of the insertions and one truncation produced enzymes with sufficient activity for the E. coli cells to synthesize glycogen and stain in the presence of iodine vapor. These were in regions away from the substrate site, whereas the mutants that did not stain had alterations in critical areas of the protein. The enzyme with a pentapeptide insertion between Leu(102) and Pro(103) was catalytically competent but insensitive to activation. We postulate this region as critical for the allosteric regulation of the enzyme, participating in the communication between the catalytic and regulatory domains.
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