Evidence map›Paper›PMID 32894046›Full record

ArticleBMC plant biology2020

Identification of loci controlling mineral element concentration in soybean seeds.

Sidiki Malle, Malcolm Morrison, François Belzile

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Functional Characterization of a (International journal of molecular sciences · 2023
    Article
  5. Structure, Function, and Applications of Soybean Calcium Transporters.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Population Structure and Relatedness for Genome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    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

3 authors at 2 institutions in 1 country.

Sidiki MalleDépartement de phytologie, Faculty of Agricultural and Food Sciences and Institute for Integrative and Systems Biology (IBIS), Laval University, Quebec City, Quebec, Canada.
Malcolm MorrisonOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada.
François BelzileDépartement de phytologie, Faculty of Agricultural and Food Sciences and Institute for Integrative and Systems Biology (IBIS), Laval University, Quebec City, Quebec, Canada. Francois.Belzile@fsaa.ulaval.ca.ORCID http://orcid.org/0000-0001-6893-4529
Université Laval · CAAgriculture and Agri-Food Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMineral nutrients play a crucial role in the biochemical and physiological functions of biological systems. The enhancement of seed mineral content via genetic improvement is considered as the most promising and cost-effective approach compared alternative means for meeting the dietary needs. The overall objective of this study was to perform a GWAS of mineral content (Ca, K, P and S) in seeds of a core set of 137 soybean lines that are representative of the diversity of early maturing soybeans cultivated in Canada (maturity groups 000-II).

resultsThis panel of 137 soybean lines was grown in five environments (in total) and the seed mineral content was measured using a portable x-ray fluorescence (XRF) spectrometer. The association analyses were carried out using three statistical models and a set of 2.2 million SNPs obtained from a combined dataset of genotyping-by-sequencing and whole-genome sequencing. Eight QTLs significantly associated with the Ca, K, P and S content were identified by at least two of the three statistical models used (in two environments) contributing each from 17 to 31% of the phenotypic variation. A strong reproducibility of the effect of seven out these eight QTLs was observed in three other environments. In total, three candidate genes were identified involved in transport and assimilation of these mineral elements.

conclusionsThere have been very few GWAS studies to identify QTLs associated with the mineral element content of soybean seeds. In addition to being new, the QTLs identified in this study and candidate genes will be useful for the genetic improvement of soybean nutritional quality through marker-assisted selection. Moreover, this study also provides details on the range of phenotypic variation encountered within the Canadian soybean germplasm.

Indexed as

Gene Expression Regulation, PlantQuantitative Trait LociCanadaCrops, AgriculturalGlycine maxMineralsPlant BreedingReproducibility of ResultsSeedsMineralsGWASMineralsQTLSoybeanXRF

Identifiers

PMID32894046
PMCPMC7487956
OpenAlexW3083402450

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.