Evidence map›Paper›PMID 36012660›Full record

ReviewInternational journal of molecular sciences2022

Lipidomics-Assisted GWAS (lGWAS) Approach for Improving High-Temperature Stress Tolerance of Crops.

Velumani Pranneshraj, Manjeet Kaur Sangha, Ivica Djalovic, Jegor Miladinovic, Maduraimuthu Djanaguiraman

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026
    Review
  2. Article
  3. Review
  4. ThePlants (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. 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

5 authors at 3 institutions in 2 countries.

Velumani PranneshrajDepartment of Biochemistry, Punjab Agricultural University, Ludhiana 141004, India.ORCID 0000-0001-5096-3487
Manjeet Kaur SanghaDepartment of Biochemistry, Punjab Agricultural University, Ludhiana 141004, India.
Ivica DjalovicInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Maxim Gorki 30, 21000 Novi Sad, Serbia.
Jegor MiladinovicInstitute of Field and Vegetable Crops, National Institute of the Republic of Serbia, Maxim Gorki 30, 21000 Novi Sad, Serbia.ORCID 0000-0002-4061-4037
Maduraimuthu DjanaguiramanDepartment of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore 641003, India.ORCID 0000-0003-2231-7562
Institute of Field and Vegetable Crops · RSPunjab Agricultural University · INTamil Nadu Agricultural University · IN

Funding

Department of Biotechnology BT/PR36115/NNT/28/1814/2021Ministry of Education, Science and Technological Development of the Republic of Serbia 451-03-68/2022-14/200032
6 · The paper itself

Abstract

High-temperature stress (HT) over crop productivity is an important environmental factor demanding more attention as recent global warming trends are alarming and pose a potential threat to crop production. According to the Sixth IPCC report, future years will have longer warm seasons and frequent heat waves. Thus, the need arises to develop HT-tolerant genotypes that can be used to breed high-yielding crops. Several physiological, biochemical, and molecular alterations are orchestrated in providing HT tolerance to a genotype. One mechanism to counter HT is overcoming high-temperature-induced membrane superfluidity and structural disorganizations. Several HT lipidomic studies on different genotypes have indicated the potential involvement of membrane lipid remodelling in providing HT tolerance. Advances in high-throughput analytical techniques such as tandem mass spectrometry have paved the way for large-scale identification and quantification of the enormously diverse lipid molecules in a single run. Physiological trait-based breeding has been employed so far to identify and select HT tolerant genotypes but has several disadvantages, such as the genotype-phenotype gap affecting the efficiency of identifying the underlying genetic association. Tolerant genotypes maintain a high photosynthetic rate, stable membranes, and membrane-associated mechanisms. In this context, studying the HT-induced membrane lipid remodelling, resultant of several up-/down-regulations of genes and post-translational modifications, will aid in identifying potential lipid biomarkers for HT tolerance/susceptibility. The identified lipid biomarkers (LIPIDOTYPE) can thus be considered an intermediate phenotype, bridging the gap between genotype-phenotype (genotype-LIPIDOTYPE-phenotype). Recent works integrating metabolomics with quantitative genetic studies such as GWAS (mGWAS) have provided close associations between genotype, metabolites, and stress-tolerant phenotypes. This review has been sculpted to provide a potential workflow that combines MS-based lipidomics and the robust GWAS (lipidomics assisted GWAS-lGWAS) to identify membrane lipid remodelling related genes and associations which can be used to develop HS tolerant genotypes with enhanced membrane thermostability (MTS) and heat stable photosynthesis (HP).

Indexed as

Hot TemperatureLipidomicsBiomarkersCrops, AgriculturalGenome-Wide Association StudyGenotypeMembrane LipidsPhenotypePlant BreedingStress, PhysiologicalTemperatureBiomarkersMembrane LipidsbreedinggenotypeGWAShigh temperaturelipidomicsmembrane lipidsphenotypephotosynthesistolerance mechanisms

Identifiers

PMID36012660
PMCPMC9409476
OpenAlexW4293513035

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.