Evidence map›Paper›PMID 30874962›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds.

Adriano Nunes-Nesi, Saleh Alseekh, Franklin Magnum de Oliveira Silva, Nooshin Omranian, Gabriel Lichtenstein, Mohammad Mirnezhad, Roman R Romero González, Julia Sabio Y Garcia, Mariana Conte, Kirsten A Leiss and 4 more

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Biochar-Enhanced Resistance toFrontiers in plant science · 2021
    Article
  6. Dissection of complex traits of tomato in the post-genome era.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Adriano Nunes-NesiDepartamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil. nunesnesi@ufv.br.
Saleh AlseekhMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, OT, Germany.
Franklin Magnum de Oliveira SilvaDepartamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil.
Nooshin OmranianMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, OT, Germany.
Gabriel LichtensteinInstituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría, Consejo Nacional de Investigaciones Científicas y Técnicas, B1712WAA, Castelar, Argentina.
Mohammad MirnezhadPlant Ecology, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Roman R Romero GonzálezPlant Ecology, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Julia Sabio Y GarciaInstituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría, Consejo Nacional de Investigaciones Científicas y Técnicas, B1712WAA, Castelar, Argentina.
Mariana ConteInstituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría, Consejo Nacional de Investigaciones Científicas y Técnicas, B1712WAA, Castelar, Argentina.
Kirsten A LeissPlant Ecology, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Peter G L KlinkhamerPlant Ecology, Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Zoran NikoloskiMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, OT, Germany.
Fernando CarrariInstituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaría, Consejo Nacional de Investigaciones Científicas y Técnicas, B1712WAA, Castelar, Argentina.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, OT, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo date, most studies of natural variation and metabolite quantitative trait loci (mQTL) in tomato have focused on fruit metabolism, leaving aside the identification of genomic regions involved in the regulation of leaf metabolism.

objectiveThis study was conducted to identify leaf mQTL in tomato and to assess the association of leaf metabolites and physiological traits with the metabolite levels from other tissues.

methodsThe analysis of components of leaf metabolism was performed by phenotypying 76 tomato ILs with chromosome segments of the wild species Solanum pennellii in the genetic background of a cultivated tomato (S. lycopersicum) variety M82. The plants were cultivated in two different environments in independent years and samples were harvested from mature leaves of non-flowering plants at the middle of the light period. The non-targeted metabolite profiling was obtained by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). With the data set obtained in this study and already published metabolomics data from seed and fruit, we performed QTL mapping, heritability and correlation analyses.

resultsChanges in metabolite contents were evident in the ILs that are potentially important with respect to stress responses and plant physiology. By analyzing the obtained data, we identified 42 positive and 76 negative mQTL involved in carbon and nitrogen metabolism.

conclusionsOverall, these findings allowed the identification of S. lycopersicum genome regions involved in the regulation of leaf primary carbon and nitrogen metabolism, as well as the association of leaf metabolites with metabolites from seeds and fruits.

Indexed as

Chromosome MappingFruitGas Chromatography-Mass SpectrometryMetabolomeMetabolomicsPhenotypePlant LeavesQuantitative Trait LociSeedsSolanum lycopersicumLeaf metabolismMetabolite networkMetabolite QTLTomato

Identifiers

PMID30874962
PMCPMC6420416

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.