Evidence map›Paper›PMID 37550387›Full record

ArticleCommunications biology2023

Multi-omic analyses reveal the unique properties of chia (Salvia hispanica) seed metabolism.

Gerardo Alejo-Jacuinde, Héctor-Rogelio Nájera-González, Ricardo A Chávez Montes, Cristian D Gutierrez Reyes, Alfonso Carlos Barragán-Rosillo, Benjamin Perez Sanchez, Yehia Mechref, Damar López-Arredondo, Lenin Yong-Villalobos, Luis Herrera-Estrella

Abstract read
In one paragraph

Article in Communications biology, 2023. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Advances in seed omics.Journal of experimental botany · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Multi Omics Applications in Biological Systems.Current issues in molecular biology · 2024
    Review
  7. Shotgun proteomics profiling of chia seeds (Frontiers in plant science · 2024
    Article
  8. Article
  9. Article
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

10 authors.

Gerardo Alejo-JacuindeDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.ORCID http://orcid.org/0009-0004-0879-5933
Héctor-Rogelio Nájera-González *Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.
Ricardo A Chávez Montes *Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.ORCID http://orcid.org/0000-0001-6132-8956
Cristian D Gutierrez ReyesDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409, USA.
Alfonso Carlos Barragán-RosilloDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.
Benjamin Perez SanchezDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.ORCID http://orcid.org/0000-0001-5335-0811
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409, USA.ORCID http://orcid.org/0000-0002-6661-6073
Damar López-ArredondoDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA.
Lenin Yong-VillalobosDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA. lenin.yong@ttu.edu.ORCID http://orcid.org/0000-0002-5927-7288
Luis Herrera-EstrellaDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX, 79409, USA. luis.herrera-estrella@ttu.edu.ORCID http://orcid.org/0000-0001-7936-3856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chia (Salvia hispanica) is an emerging crop considered a functional food containing important substances with multiple potential applications. However, the molecular basis of some relevant chia traits, such as seed mucilage and polyphenol content, remains to be discovered. This study generates an improved chromosome-level reference of the chia genome, resolving some highly repetitive regions, describing methylation patterns, and refining genome annotation. Transcriptomic analysis shows that seeds exhibit a unique expression pattern compared to other organs and tissues. Thus, a metabolic and proteomic approach is implemented to study seed composition and seed-produced mucilage. The chia genome exhibits a significant expansion in mucilage synthesis genes (compared to Arabidopsis), and gene network analysis reveals potential regulators controlling seed mucilage production. Rosmarinic acid, a compound with enormous therapeutic potential, was classified as the most abundant polyphenol in seeds, and candidate genes for its complex pathway are described. Overall, this study provides important insights into the molecular basis for the unique characteristics of chia seeds.

Indexed as

SalviaSalvia hispanicaMultiomicsPolysaccharidesProteomicsSeedsPolysaccharides

Identifiers

PMID37550387
PMCPMC10406817

What OpenQuestion holds

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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.