Evidence map›Paper›PMID 41077665›Full record

ArticleThe plant genome2025

Genome-wide association study of seed mineral nutrients in peas (Pisum sativum L.).

Hatice Sari, Clarice J Coyne, Michael A Grusak, Veselina A Valkov, Zhiwu Zhang, Rebecca J McGee, Yu Ma, Dorrie Main, Nonoy Bandillo, Jonah Hart and 3 more

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Hatice SariDepartment of Horticulture, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0000-0003-1230-5533
Clarice J CoyneDepartment of Horticulture, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0000-0003-1374-4618
Michael A GrusakUSDA-ARS Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, USA.
Veselina A ValkovUSDA-ARS Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, USA.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA.
Rebecca J McGeeDepartment of Horticulture, Washington State University, Pullman, Washington, USA.
Yu MaDepartment of Horticulture and Crop Science, Ohio State University, Columbus, Ohio, USA.
Dorrie MainDepartment of Horticulture, Washington State University, Pullman, Washington, USA.
Nonoy BandilloCrop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-5941-9047
Jonah HartDepartment of Horticulture, Washington State University, Pullman, Washington, USA.
Britton M BourlandDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA.ORCID https://orcid.org/0009-0009-8012-1796
Renan UhdreDepartment of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA.
Marilyn L WarburtonUSDA-ARS Plant Germplasm Introduction and Testing Research, Pullman, Washington, USA.ORCID https://orcid.org/0000-0002-9542-9912

Funding

Agricultural Research Service 3012090150Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
6 · The paper itself

Abstract

Pea (Pisum sativum L.) is an important crop with high nutritional value and agricultural benefits. This study aimed to identify genetic factors that influence the levels of mineral elements (B, Ca, Cu, Fe, K, Mg, Mn, Na, P, S, Zn, Co, Mo, Ni, and Se) in pea seeds. A panel of 482 genetically variable pea accessions was grown in field trials for 3 years (2019-2021) and the seed mineral nutrients were analyzed. Individual accessions in the panel were genotyped using genotyping-by-sequencing, resulting in 79,608 high-quality single nucleotide polymorphisms after filtering. A genome-wide association study identified 113 SNPs significantly associated with mineral nutrient concentrations, explaining between 0.4% and 64.3% of the observed variation. Candidate genes linked to these SNPs were found to be involved in processes such as nutrient transport, metal binding, and stress responses, all of which affect mineral accumulation in seeds. The study also showed that genetic factors and environmental conditions interact to shape pea mineral concentration. Overall, genotype had a stronger effect on most mineral traits, particularly Mn and Na, while environmental effects were more prominent for elements like S and P. These findings offer valuable genetic tools for breeding programs aimed at improving pea nutritional quality, which can help address food insecurity and reduce malnutrition globally.

Indexed as

MineralsPisum sativumSeedsGenome-Wide Association StudyGenotypeNutrientsPolymorphism, Single NucleotideMineralsNutrients

Identifiers

PMID41077665
PMCPMC12516006

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.