Evidence map›Paper›PMID 31630279›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Phenotyping reproductive stage chilling and frost tolerance in wheat using targeted metabolome and lipidome profiling.

Bo Eng Cheong, William Wing Ho Ho, Ben Biddulph, Xiaomei Wallace, Tina Rathjen, Thusitha W T Rupasinghe, Ute Roessner, Rudy Dolferus

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

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  7. Comparative metabolomic profiling and nutritional chemistry ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
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  10. Lipid remodeling of contrasting maize (Frontiers in plant science · 2023
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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 3 institutions in 1 country.

Bo Eng CheongSchool of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
William Wing Ho HoSchool of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Ben BiddulphDepartment of Primary Industries and Regional Development, 3 Baron Hay Court, South Perth, WA, 6151, Australia.
Xiaomei WallaceCSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT, 2601, Australia.
Tina RathjenCSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT, 2601, Australia.
Thusitha W T RupasingheMetabolomics Australia, School of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Ute RoessnerSchool of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Rudy DolferusCSIRO Agriculture & Food, GPO Box 1700, Canberra, ACT, 2601, Australia. rudy.dolferus@csiro.au.ORCID 0000-0002-4576-8967
The University of Melbourne · AUCommonwealth Scientific and Industrial Research Organisation · AUDepartment of Primary Industries and Regional Development · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrost events lead to A$360 million of yield losses annually to the Australian wheat industry, making improvement of chilling and frost tolerance an important trait for breeding.

objectivesThis study aimed to use metabolomics and lipidomics to explore genetic variation in acclimation potential to chilling and to identify metabolite markers for chilling tolerance in wheat.

methodsWe established a controlled environment screening assay that is able to reproduce field rankings of wheat germplasm for chilling and frost tolerance. This assay, together with targeted metabolomics and lipidomics approaches, were used to compare metabolite and lipid levels in flag leaves of two wheat varieties with contrasting chilling tolerance.

resultsThe sensitive variety Wyalkatchem showed a strong reduction in amino acids after the first cold night, followed by accumulation of osmolytes such as fructose, glucose, putrescine and shikimate over a 4-day period. Accumulation of osmolytes is indicative of acclimation to water stress in Wyalkatchem. This response was not observed for tolerant variety Young. The two varieties also displayed significant differences in lipid accumulation. Variation in two lipid clusters, resulted in a higher unsaturated to saturated lipid ratio in Young after 4 days cold treatment and the lipids PC(34:0), PC(34:1), PC(35:1), PC(38:3), and PI(36:4) were the main contributors to the unsaturated to saturated ratio change. This indicates that Young may have superior ability to maintain membrane fluidity following cold exposure, thereby avoiding membrane damage and water stress observed for Wyalkatchem.

conclusionOur study suggests that metabolomics and lipidomics markers could be used as an alternative phenotyping method to discriminate wheat varieties with differences in cold acclimation.

Indexed as

Adaptation, PhysiologicalCold-Shock ResponseMetabolomicsLipidomicsPhenotypeTriticumCold toleranceFloweringLipidMetabolitePhenotypingWheat

Identifiers

PMID31630279
PMCPMC6800866
OpenAlexW2980790354

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.