Evidence map›Paper›PMID 39729149›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Metabolic profiling and antibacterial activity of tree wood extracts obtained under variable extraction conditions.

Diana Vinchira-Villarraga, Sabrine Dhaouadi, Vanja Milenkovic, Jiaqi Wei, Emily R Grace, Katherine G Hinton, Amy J Webster, Andrea Vadillo-Dieguez, Sophie E Powell, Naina Korotania and 5 more

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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

15 authors.

Diana Vinchira-VillarragaSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK. d.vinchira-villarraga@bham.ac.uk.ORCID https://orcid.org/0000-0002-4158-8862
Sabrine DhaouadiSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0002-6701-2810
Vanja MilenkovicSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0001-6661-6690
Jiaqi WeiSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0009-0002-1667-1813
Emily R GraceSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0002-7409-9571
Katherine G HintonSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0009-0009-1040-6884
Amy J WebsterSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0009-0006-1406-5325
Andrea Vadillo-DieguezSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0002-6965-8578
Sophie E PowellSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0009-0005-5345-5484
Naina KorotaniaSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0009-0000-7364-1210
Leonardo CastellanosFacultad de Ciencias, Departamento de Química, Universidad Nacional de Colombia - Sede Bogotá, Carrera 30# 45-03, Bogotá, D.C, 111321, Colombia.ORCID https://orcid.org/0000-0001-5248-800X
Freddy A RamosFacultad de Ciencias, Departamento de Química, Universidad Nacional de Colombia - Sede Bogotá, Carrera 30# 45-03, Bogotá, D.C, 111321, Colombia.ORCID https://orcid.org/0000-0002-9271-7193
Richard J HarrisonPlant Sciences Group, Wageningen University & Research, Wageningen, 6700AA, The Netherlands.
Mojgan RabieySchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK. mojgan.rabiey@warwick.ac.uk.ORCID https://orcid.org/0000-0001-8463-9087
Robert W JacksonSchool of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK. r.w.jackson@bham.ac.uk.ORCID https://orcid.org/0000-0002-2042-4105

Funding

DEFRA and the UK Department for Environment Food and Rural Affairs BB/T010568/1
6 · The paper itself

Abstract

introductionTree bacterial diseases are a threat in forestry due to their increasing incidence and severity. Understanding tree defence mechanisms requires evaluating metabolic changes arising during infection. Metabolite extraction affects the chemical diversity of the samples and, therefore, the biological relevance of the data. Metabolite extraction has been standardized for several biological models. However, little information is available regarding how it influences wood extract's chemical diversity.

objectivesThis study aimed to develop a methodological approach to obtain extracts from different tree species with the highest reproducibility and chemical diversity possible, to ensure proper coverage of the trees' metabolome.

methodsA full factorial design was used to evaluate the effect of solvent type, extraction temperature and number of extraction cycles on the metabolic profile, chemical diversity and antibacterial activity of four tree species.

resultsSolvent, temperature and their interaction significantly affected the extracts' chemical diversity, while the number of extraction cycles positively correlated with yield and antibacterial activity. Although 60% of the features were recovered in all the tested conditions, differences in the presence and abundance of specific chemical classes per tree were observed, including organooxygen compounds, prenol lipids, carboxylic acids, and flavonoids.

conclusionsEach tree species has a unique metabolic profile, which means that no single protocol is universally effective. Extraction at 50 °C for three cycles using 80% methanol or chloroform/methanol/water showed the best results and is suggested for studying wood metabolome. These observations highlight the need to tailor extraction protocols to each tree species to ensure comprehensive metabolome coverage for metabolic profiling.

Indexed as

Anti-Bacterial AgentsPlant ExtractsTreesWoodMetabolomeAnti-Bacterial AgentsPlant ExtractsChemical diversityExtractionMass spectrometryTree-metabolomicsWood

Identifiers

PMID39729149
PMCPMC11680671

What Socratic holds

Textmetadata
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 Socratic graph.