Evidence map›Paper›PMID 26032167›Full record

ArticlePlant biotechnology journal2016

Metabolomic profiling and genomic analysis of wheat aneuploid lines to identify genes controlling biochemical pathways in mature grain.

Michael G Francki, Sarah Hayton, Joel P A Gummer, Catherine Rawlinson, Robert D Trengove

Open access · bronzeAbstract read
In one paragraph

Article in Plant biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.2field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Wheat Omics: Advancements and Opportunities.Plants (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Exploitation of Drought Tolerance-Related Genes for Crop Improvement.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. Frontiers in nutrition · 2021
    Article
  15. Review
  16. Article
  17. Omics Approaches for Engineering Wheat Production under Abiotic Stresses.International journal of molecular sciences · 2018
    Review
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Michael G FranckiDepartment of Agriculture and Food Western Australia, Grains Industry, South Perth, WA, Australia.
Sarah HaytonSeparation Science and Metabolomics Laboratory, Research and Development, Murdoch University, Murdoch, WA, Australia.
Joel P A GummerSeparation Science and Metabolomics Laboratory, Research and Development, Murdoch University, Murdoch, WA, Australia.
Catherine RawlinsonSeparation Science and Metabolomics Laboratory, Research and Development, Murdoch University, Murdoch, WA, Australia.
Robert D TrengoveSeparation Science and Metabolomics Laboratory, Research and Development, Murdoch University, Murdoch, WA, Australia.
Murdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is becoming an increasingly important tool in plant genomics to decipher the function of genes controlling biochemical pathways responsible for trait variation. Although theoretical models can integrate genes and metabolites for trait variation, biological networks require validation using appropriate experimental genetic systems. In this study, we applied an untargeted metabolite analysis to mature grain of wheat homoeologous group 3 ditelosomic lines, selected compounds that showed significant variation between wheat lines Chinese Spring and at least one ditelosomic line, tracked the genes encoding enzymes of their biochemical pathway using the wheat genome survey sequence and determined the genetic components underlying metabolite variation. A total of 412 analytes were resolved in the wheat grain metabolome, and principal component analysis indicated significant differences in metabolite profiles between Chinese Spring and each ditelosomic lines. The grain metabolome identified 55 compounds positively matched against a mass spectral library where the majority showed significant differences between Chinese Spring and at least one ditelosomic line. Trehalose and branched-chain amino acids were selected for detailed investigation, and it was expected that if genes encoding enzymes directly related to their biochemical pathways were located on homoeologous group 3 chromosomes, then corresponding ditelosomic lines would have a significant reduction in metabolites compared with Chinese Spring. Although a proportion showed a reduction, some lines showed significant increases in metabolites, indicating that genes directly and indirectly involved in biosynthetic pathways likely regulate the metabolome. Therefore, this study demonstrated that wheat aneuploid lines are suitable experimental genetic system to validate metabolomics-genomics networks.

Indexed as

AneuploidyGenes, PlantAmino Acids, Branched-ChainBase SequenceDNA, ComplementaryEdible GrainGenomicsMetabolic Networks and PathwaysMetabolomeMetabolomicsPrincipal Component AnalysisTrehaloseTriticumAmino Acids, Branched-ChainDNA, ComplementaryTrehaloseaneuploidygenomicsmetabolomicsqualityseedwheat

Identifiers

PMID26032167
PMCPMC11388812
OpenAlexW2151297646

What OpenQuestion holds

Textmetadata
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.