Evidence map›Paper›PMID 33562333›Full record

ReviewCells2021

Metabolomics Intervention Towards Better Understanding of Plant Traits.

Vinay Sharma, Prateek Gupta, Kagolla Priscilla, SharanKumar, Bhagyashree Hangargi, Akash Veershetty, Devade Pandurang Ramrao, Srinivas Suresh, Rahul Narasanna, Gajanana R Naik and 6 more

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Can quinoa (Frontiers in plant science · 2025
    Review
  8. Plant Metabolomics: The Future of Anticancer Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  9. Review
  10. Review
  11. Special Issue "State-of-the-Art Molecular Plant Sciences in Japan".International journal of molecular sciences · 2024
    Article
  12. Article
  13. Review
  14. Integrating omics databases for enhanced crop breeding.Journal of integrative bioinformatics · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
    Review
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

16 authors at 7 institutions in 5 countries.

Vinay SharmaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India.ORCID 0000-0002-0033-5279
Prateek GuptaDepartment of Genetics, Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0002-7296-8411
Kagolla PriscillaDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
SharanKumarDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Bhagyashree HangargiDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Akash VeershettyDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Devade Pandurang RamraoDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Srinivas SureshDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Rahul NarasannaDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Gajanana R NaikDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.
Anirudh KumarDepartment of Botany, Indira Gandhi National Tribal University (IGNTU), Amarkantak 484886, India.ORCID 0000-0002-9672-901X
Baozhu GuoCrop Protection and Management Research Unit, United State Department of Agriculture-Agriculture Research Service (USDA-ARS), Tifton, GA 31793, USA.ORCID 0000-0002-9079-7126
Weijian ZhuangCollege of Plant Protection, Fujian Agriculture and Forestry University, Fujian 350002, Fuzhou, China.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India.ORCID 0000-0002-4562-9131
Manish K PandeyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India.ORCID 0000-0002-4101-6530
Rakesh KumarDepartment of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India.ORCID 0000-0001-5072-5673
Central University of Karnataka · INInternational Crops Research Institute for the Semi-Arid Tropics · INFujian Agriculture and Forestry University · CNHebrew University of Jerusalem · ILIndira Gandhi National Tribal University · INMurdoch University · AUUnited States Department of State · US

Funding

Bill and Melinda Gates Foundation OPP1114827
6 · The paper itself

Abstract

The majority of the most economically important plant and crop species are enriched with the availability of high-quality reference genome sequences forming the basis of gene discovery which control the important biochemical pathways. The transcriptomics and proteomics resources have also been made available for many of these plant species that intensify the understanding at expression levels. However, still we lack integrated studies spanning genomics-transcriptomics-proteomics, connected to metabolomics, the most complicated phase in phenotype expression. Nevertheless, for the past few decades, emphasis has been more on metabolome which plays a crucial role in defining the phenotype (trait) during crop improvement. The emergence of modern high throughput metabolome analyzing platforms have accelerated the discovery of a wide variety of biochemical types of metabolites and new pathways, also helped in improving the understanding of known existing pathways. Pinpointing the causal gene(s) and elucidation of metabolic pathways are very important for development of improved lines with high precision in crop breeding. Along with other -omics sciences, metabolomics studies have helped in characterization and annotation of a new gene(s) function. Hereby, we summarize several areas in the field of crop development where metabolomics studies have made its remarkable impact. We also assess the recent research on metabolomics, together with other omics, contributing toward genetic engineering to target traits and key pathway(s).

Indexed as

MetabolomicsQuantitative Trait, HeritableMetabolic EngineeringPlant BreedingPlantsSymbiosisengineering traitsmetabolic engineeringmetabolomemGWASmQTLsomics

Identifiers

PMID33562333
PMCPMC7915772
OpenAlexW3128372638

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.