Evidence map›Paper›PMID 30249055›Full record

ArticleMetabolites2018

Metabolomics of Two Pecan Varieties Provides Insights into Scab Resistance.

Zhentian Lei, Clayton Kranawetter, Barbara W Sumner, David Huhman, Daniel J Wherritt, Andrew L Thomas, Charles Rohla, Lloyd W Sumner

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Zhentian LeiUniversity of Missouri Metabolomics Center, Columbia, MO 652111, USA. leiz@missouri.edu.
Clayton KranawetterDepartment of Biochemistry, University of Missouri, Columbia, MO 652111, USA. cdk374@mail.missouri.edu.
Barbara W SumnerUniversity of Missouri Metabolomics Center, Columbia, MO 652111, USA. sumnerb@missouri.edu.
David HuhmanNoble Research Institute; Ardmore, OK 73402, USA. DVHUHMAN@noble.org.
Daniel J WherrittDepartment of Chemistry, University of Texas at San Antonia, San Antonia, TX 78249, USA. daniel.wherritt@utsa.edu.ORCID 0000-0002-8616-9864
Andrew L ThomasSouthwest Research Center, Division of Plant Sciences, University of Missouri, Mt. Vernon, MO 65712, USA. ThomasAL@missouri.edu.
Charles RohlaNoble Research Institute; Ardmore, OK 73402, USA. ctrohla@noble.org.
Lloyd W SumnerUniversity of Missouri Metabolomics Center, Columbia, MO 652111, USA. sumnerlw@missouri.edu.ORCID 0000-0002-4086-663X
University of Missouri · USNoble Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

UHPLC-MS-based non-targeted metabolomics was used to investigate the biochemical basis of pecan scab resistance. Two contrasting pecan varieties, Kanza (scab-resistant) and Pawnee (scab-susceptible), were profiled and the metabolomics data analyzed using multivariate statistics. Significant qualitative and quantitative metabolic differences were observed between the two varieties. Both varieties were found to have some unique metabolites. Metabolites that were only present or more abundant in Kanza relative to Pawnee could potentially contribute to the scab resistance in Kanza. Some of these metabolites were putatively identified as quercetin derivatives using tandem mass spectrometry. This suggests that quercetin derivatives could be important to pecan scab resistance.

Indexed as

CaryaflavonoidsmetabolomicsMS/MSpecanpolyphenolsscabUHPLC-MS

Identifiers

PMID30249055
PMCPMC6315810
OpenAlexW2890311621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.