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Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement

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Abstract

Elucidating the determinants of tomato nutritional value and fruit quality to introduce improved varieties on the international market represents a major challenge for crop biotechnology. Different strategies can be undertaken to exploit the natural variability of Solanum to re-incorporate lost allelic diversity into commercial varieties. One of them is the characterization of selected germplasm for breeding programs. To achieve this goal, 18 RILs (S. lycopersicum × S. pimpinellifolium) were comprehensively phenotyped for fruit polar metabolites and quality associated traits. Metabolites were quantified by GC–MS and 1H NMR. Integrative analyses by neuronal clustering and network construction revealed that fruit properties are strongly associated with the metabolites aspartate, serine, glutamate and 2-oxoglutarate. Shelf life and firmness appeared to be linked to malate content. By a comparative analysis of the whole data set, ten RILs presented higher number of traits with positive effect than the S. lycopersicum × S. pimpinellifolium hybrid. Thus, these lines can be proposed as promising candidates for breeding programs aimed to improve fruit quality.

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Acknowledgments

M.G. López was recipient of a fellowship of Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina). This work was partially supported with grants from Instituto Nacional de Tecnología Agropecuaria, Consejo Nacional de Investigaciones Científicas y Técnicas, Agencia Nacional de Promoción Científica y Tecnológica (Argentina) and from the Max Planck Society (Germany).

Disclosures

This work was carried out in compliance with current laws governing genetic experimentation in Argentina. The authors declared no conflict of interest.

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Authors and Affiliations

  1. Instituto de Biotecnologia - CICVyA, INTA, Dr. Nicolás Repetto y De Los Reseros S/Nº, Hurlingham, B1686IGC, Buenos Aires, Argentina

    Mariana G. López, Mariana Conte, Luisa Bermúdez, Carla Coluccio Leskow & Fernando Carrari

  2. Instituto de Biología Molecular y Celular de Rosario, CONICET-UNR, Rosario, Argentina

    María I. Zanor, Silvana B. Boggio & Estela M. Valle

  3. Cátedra de Genética, FCA, UNR, Rosario, Argentina

    Guillermo R. Pratta, Gustavo R. Rodríguez, Liliana A. Picardi & Roxana Zorzoli

  4. Centro de Investigación en Ingeniería en Sistemas de Información, UTN, Santa Fe, Argentina

    Georgina Stegmayer

  5. Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany

    Alisdair R. Fernie

  6. Research Center for Signals, Systems and Computational Intelligence, FICH-UNL, CONICET, Santa Fe, Argentina

    Diego Milone

  7. Departamento de Bioquímica Clínica, FCQ, UNC, Córdoba, Argentina

    Ramón Asís

  8. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina

    Mariana G. López, María I. Zanor, Guillermo R. Pratta, Georgina Stegmayer, Silvana B. Boggio, Luisa Bermúdez, Carla Coluccio Leskow, Gustavo R. Rodríguez, Diego Milone, Ramón Asís, Estela M. Valle & Fernando Carrari

Authors
  1. Mariana G. López
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  2. María I. Zanor
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  3. Guillermo R. Pratta
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  4. Georgina Stegmayer
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  5. Silvana B. Boggio
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  6. Mariana Conte
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  7. Luisa Bermúdez
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  8. Carla Coluccio Leskow
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  9. Gustavo R. Rodríguez
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  10. Liliana A. Picardi
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  11. Roxana Zorzoli
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  12. Alisdair R. Fernie
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  13. Diego Milone
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  14. Ramón Asís
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  15. Estela M. Valle
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  16. Fernando Carrari
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Corresponding author

Correspondence to Fernando Carrari.

Electronic supplementary material

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11306_2015_798_MOESM1_ESM.xls

Supplementary Tables List of properties for metabolite (60) determination (Table S1). Relative values of mature fruit metabolic contents (60) and agronomic (14) trait from all the material analyzed are provided (Table S2). Details of the components of each neuron in the *omeSOM 9x9 map are also presented (Table S3) (XLS 294 kb)

11306_2015_798_MOESM2_ESM.tif

Supplementary Fig. S1 Representative 1H-NMR spectrum of tomato pericarp extract in buffered D2O. Known compounds are annotated according to Table S1. The 1H chemical shifts used for identification/quantification of the nineteen metabolites were determined at pH 7.4 and expressed as relative values to that of TSP at 0 ppm. Ala: alanine (doublet at 1.45 ppm), Asn: asparagine (multiplet at 2.82), Asp: aspartate (doublet of doublet ar 2.76), Citrate (doublet of doublets at 2.51), Ethanol (triplet at 1.15), Frc: fructose (multiplet at 4.08), GABA (multiplet at 1.84), Glc: glucose (doublet at 4.62), Glu: glutamate (multiplet at 2.05), Gln: glutamine (multiplet at 2.44), Ile: Isoleucine (doublet at 0.98), Malate (doublet of doublets at 4.27), Methanol (singlet at 3.31), Phe:phenylalanine (multiplet at 7.38), Pyr: Pyruvate (singlet at 2.35), Suc: sucrose (doublet at 5.38), Thr: Threonine (doublet at 1.3), Trp: Tryptophan (doublet ar 7.51), Val: valine (doublet at 1.01) (TIFF 40048 kb)

11306_2015_798_MOESM3_ESM.tif

Supplementary Fig. S2 Values of relative distance between the same metabolite (16) measured by GC-MS and 1H-NMR across different map sizes evaluated are plotted (TIFF 1132 kb)

11306_2015_798_MOESM4_ESM.tif

Supplementary Fig. S3 Different mode of inheritance of metabolic (60) and agronomic (14) traits. Traits (metabolic –blue bars- and agronomic –red bars-) were classified according their mode of inheritance following the analysis proposed by Lisec et al. (2011) (see Material and Method section) (TIFF 2033 kb)

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López, M.G., Zanor, M.I., Pratta, G.R. et al. Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement. Metabolomics 11, 1416–1431 (2015). https://doi.org/10.1007/s11306-015-0798-3

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  • DOI: https://doi.org/10.1007/s11306-015-0798-3

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