Evidence map›Paper›PMID 33608604›Full record

ArticleScientific reports2021

Genome-wide association study identified candidate genes for seed size and seed composition improvement in M. truncatula.

Zhijuan Chen, Vanessa Lancon-Verdier, Christine Le Signor, Yi-Min She, Yun Kang, Jerome Verdier

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Exploring novel SNPs and candidate genes associated with seed allometry inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  5. Article
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  11. Experimental Evidence for Seed Metabolic Allometry in Barrel Medic (International journal of molecular sciences · 2022
    Article
  12. Compound-SpecificInternational journal of molecular sciences · 2022
    Article
  13. Article
  14. 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

6 authors.

Zhijuan ChenUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, 49000, Angers, France.
Vanessa Lancon-VerdierShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
Christine Le SignorAgroecologie, AgroSup Dijon, INRAE, Université Bourgogne Franche Comte, 21000, Dijon, France.
Yi-Min SheShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
Yun KangNoble Research Institute, LLC, Ardmore, OK, 73401, USA.
Jerome VerdierUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, 49000, Angers, France. jerome.verdier@inrae.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain legumes are highly valuable plant species, as they produce seeds with high protein content. Increasing seed protein production and improving seed nutritional quality represent an agronomical challenge in order to promote plant protein consumption of a growing population. In this study, we used the genetic diversity, naturally present in Medicago truncatula, a model plant for legumes, to identify genes/loci regulating seed traits. Indeed, using sequencing data of 162 accessions from the Medicago HAPMAP collection, we performed genome-wide association study for 32 seed traits related to seed size and seed composition such as seed protein content/concentration, sulfur content/concentration. Using different GWAS and postGWAS methods, we identified 79 quantitative trait nucleotides (QTNs) as regulating seed size, 41 QTNs for seed composition related to nitrogen (i.e. storage protein) and sulfur (i.e. sulfur-containing amino acid) concentrations/contents. Furthermore, a strong positive correlation between seed size and protein content was revealed within the selected Medicago HAPMAP collection. In addition, several QTNs showed highly significant associations in different seed phenotypes for further functional validation studies, including one near an RNA-Binding Domain protein, which represents a valuable candidate as central regulator determining both seed size and composition. Finally, our findings in M. truncatula represent valuable resources to be exploitable in many legume crop species such as pea, common bean, and soybean due to its high synteny, which enable rapid transfer of these results into breeding programs and eventually help the improvement of legume grain production.

Indexed as

Genes, PlantGenome, PlantGenome-Wide Association StudyQuantitative Trait, HeritableAlgorithmsComputational BiologyEdible GrainGene OntologyGeographyMedicago truncatulaPhenotypeQuantitative Trait LociSeeds

Identifiers

PMID33608604
PMCPMC7895968

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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.