Evidence map›Paper›PMID 30830439›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Application of HPLC-PDA-MS metabolite profiling to investigate the effect of growth temperature and day length on blackcurrant fruit.

J William Allwood, Tomasz L Woznicki, Yun Xu, Alexandre Foito, Kjersti Aaby, Julie Sungurtas, Sabine Freitag, Royston Goodacre, Derek Stewart, Siv F Remberg and 2 more

Open access · hybridAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 36 citations in OpenAlex.

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  6. Review
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  8. Review
  9. Quantitative trait loci mapping of polyphenol metabolites in blackcurrant (Ribes nigrum L.).Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
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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

12 authors at 5 institutions in 2 countries.

J William AllwoodEnvironmental and Biochemical Sciences, James Hutton Institute, Invergowrie, Dundee, Scotland, DD2 5DA, UK. will.allwood@hutton.ac.uk.ORCID 0000-0001-6433-2694
Tomasz L WoznickiNIBIO, Norwegian Institute of Bioeconomy Research, Pb 115, 1431, Ås, Norway.ORCID 0000-0002-9719-3325
Yun XuSchool of Chemistry, Manchester Institute for Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK.ORCID 0000-0003-3228-5111
Alexandre FoitoEnvironmental and Biochemical Sciences, James Hutton Institute, Invergowrie, Dundee, Scotland, DD2 5DA, UK.ORCID 0000-0001-6111-5256
Kjersti AabyNofima, Norwegian Institute of Food, Fisheries and Aquaculture Research, 1430, Ås, Norway.ORCID 0000-0002-5853-9901
Julie SungurtasEnvironmental and Biochemical Sciences, James Hutton Institute, Invergowrie, Dundee, Scotland, DD2 5DA, UK.
Sabine FreitagEnvironmental and Biochemical Sciences, James Hutton Institute, Invergowrie, Dundee, Scotland, DD2 5DA, UK.ORCID 0000-0003-1784-2792
Royston GoodacreSchool of Chemistry, Manchester Institute for Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK.ORCID 0000-0003-2230-645X
Derek StewartEnvironmental and Biochemical Sciences, James Hutton Institute, Invergowrie, Dundee, Scotland, DD2 5DA, UK.ORCID 0000-0001-9838-4265
Siv F RembergDepartment of Plant Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, 1432, Ås, Norway.ORCID 0000-0001-9105-6242
Ola M HeideFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, 1432, Ås, Norway.ORCID 0000-0002-9842-1887
Anita SønstebyNIBIO, Norwegian Institute of Bioeconomy Research, Pb 115, 1431, Ås, Norway.ORCID 0000-0002-2705-9091
James Hutton Institute · GBNorwegian Institute of Bioeconomy Research · NONorwegian University of Life Sciences · NOUniversity of Liverpool · GBNofima · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBlackcurrant (Ribes nigrum L.) is an excellent example of a "super fruit" with potential health benefits. Both genotype and cultivation environment are known to affect the chemical composition of blackcurrant, especially ascorbic acid and various phenolic compounds. Environmental conditions, like temperature, solar radiation and precipitation can also have significant impact on fruit chemical composition. The relevance of the study is further accentuated by the predicted and ongoing changes in global climate.

objectivesThe aim of the present study was to provide new knowledge and a deeper understanding of the effects of post flowering environmental conditions, namely temperature and day length, on fruit quality and chemical composition of blackcurrant using an untargeted high performance liquid chromatography-photo diode array-mass spectrometry (HPLC-PDA-MS) metabolomics approach.

methodsA phytotron experiment with cultivation of single-stemmed potted plants of blackcurrant cv. Narve Viking was conducted using constant temperatures of 12, 18 or 24 °C and three different photoperiods (short day, short day with night interruption, and natural summer daylight conditions). Plants were also grown under ambient outdoor conditions. Ripe berries were analysed using an untargeted HPLC-PDA-MS metabolomics approach to detect the presence and concentration of molecules as affected by controlled climatic factors.

resultsThe untargeted metabolomics dataset contained a total of 7274 deconvolved retention time-m/z pairs across both electrospray ionisation (ESI) positive and negative polarities, from which 549 metabolites were identified or minimally annotated based upon accurate mass MS. Conventional principal component analysis (PCA) in combination with the Friedman significance test were applied to first identify which metabolites responded to temperature in a linear fashion. Multi-block hierarchical PCA in combination with the Friedman significance test was secondly applied to identify metabolites that were responsive to different day length conditions. Temperature had significant effect on a total of 365 metabolites representing a diverse range of chemical classes. It was observed that ripening of the blackcurrant berries under ambient conditions, compared to controlled conditions, resulted in an increased accumulation of 34 annotated metabolites, mainly anthocyanins and flavonoids. 18 metabolites were found to be regulated differentially under the different daylength conditions. Moreover, based upon the most abundant anthocyanins, a comparison between targeted and untargeted analyses, revealed a close convergence of the two analytical methods. Therefore, the study not just illustrates the value of non-targeted metabolomics approaches with respect to the huge diversity and numbers of significantly changed metabolites detected (and which would be missed by conventional targeted analyses), but also shows the validity of the non-targeted approach with respect to its precision compared to targeted analyses.

conclusionsBlackcurrant maturation under controlled ambient conditions revealed a number of insightful relationships between environment and chemical composition of the fruit. A prominent reduction of the most abundant anthocyanins under the highest temperature treatments indicated that blackcurrant berries in general may accumulate lower total anthocyanins in years with extreme hot summer conditions. HPLC-PDA-MS metabolomics is an excellent method for broad analysis of chemical composition of berries rich in phenolic compounds. Moreover, the experiment in controlled phytotron conditions provided additional knowledge concerning plant interactions with the environment.

Indexed as

Chromatography, High Pressure LiquidCircadian RhythmFlavonoidsFruitGene-Environment InteractionMetabolomicsPhenolsRibesSpectrometry, Mass, Electrospray IonizationTemperatureFlavonoidsPhenolsAnthocyaninsBlackcurrantClimateDay lengthFlavanolsFlavonoidsHPLC–PDA–MSMetabolomicsTemperature

Identifiers

PMID30830439
PMCPMC6326004
OpenAlexW2908986214

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LicenceCC BY
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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.