Evidence map›Paper›PMID 35805979›Full record

ReviewInternational journal of molecular sciences2022

Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology.

Ramesh Katam, Chuwei Lin, Kirstie Grant, Chaquayla S Katam, Sixue Chen

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–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

41 citing papers in PubMed.

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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

5 authors.

Ramesh KatamDepartment of Biological Sciences, Florida A & M University, Tallahassee, FL 32307, USA.ORCID 0000-0003-1825-7050
Chuwei LinDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Kirstie GrantDepartment of Biological Sciences, Florida A & M University, Tallahassee, FL 32307, USA.
Chaquayla S KatamDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Sixue ChenDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-6690-7612

Funding

National Science Foundation 1920420 and 15600349
6 · The paper itself

Abstract

In the past two decades, the post-genomic era envisaged high-throughput technologies, resulting in more species with available genome sequences. In-depth multi-omics approaches have evolved to integrate cellular processes at various levels into a systems biology knowledge base. Metabolomics plays a crucial role in molecular networking to bridge the gaps between genotypes and phenotypes. However, the greater complexity of metabolites with diverse chemical and physical properties has limited the advances in plant metabolomics. For several years, applications of liquid/gas chromatography (LC/GC)-mass spectrometry (MS) and nuclear magnetic resonance (NMR) have been constantly developed. Recently, ion mobility spectrometry (IMS)-MS has shown utility in resolving isomeric and isobaric metabolites. Both MS and NMR combined metabolomics significantly increased the identification and quantification of metabolites in an untargeted and targeted manner. Thus, hyphenated metabolomics tools will narrow the gap between the number of metabolite features and the identified metabolites. Metabolites change in response to environmental conditions, including biotic and abiotic stress factors. The spatial distribution of metabolites across different organs, tissues, cells and cellular compartments is a trending research area in metabolomics. Herein, we review recent technological advancements in metabolomics and their applications in understanding plant stress biology and different levels of spatial organization. In addition, we discuss the opportunities and challenges in multiple stress interactions, multi-omics, and single-cell metabolomics.

Indexed as

MetabolomicsPlantsChromatography, LiquidGas Chromatography-Mass SpectrometryMass SpectrometryMetabolomeabiotic and biotic stressesmetabolomics technologiesmulti-omicssingle-cell metabolomicsspatial metabolomics

Identifiers

PMID35805979
PMCPMC9266571

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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.