Evidence map›Paper›PMID 35406817›Full record

ArticlePlants (Basel, Switzerland)2022

Insights into the Genomic Architecture of Seed and Pod Quality Traits in the U.S. Peanut Mini-Core Diversity Panel.

Jinesh D Patel, Ming Li Wang, Phat Dang, Chris Butts, Marshall Lamb, Charles Y Chen

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Designing future peanut: the power of genomics-assisted breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  5. 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

6 authors at 2 institutions in 1 country.

Jinesh D PatelDepartment of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849, USA.
Ming Li WangUSDA-ARS Plant Genetic Resources Conservation, Griffin, GA 30223, USA.
Phat DangUSDA-ARS National Peanut Research Laboratory, Dawson, GA 39842, USA.
Chris ButtsUSDA-ARS National Peanut Research Laboratory, Dawson, GA 39842, USA.
Marshall LambUSDA-ARS National Peanut Research Laboratory, Dawson, GA 39842, USA.
Charles Y ChenDepartment of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-6677-7187
National Peanut Research Laboratory · USAuburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traits such as seed weight, shelling percent, percent sound mature kernels, and seed dormancy determines the quality of peanut seed. Few QTL (quantitative trait loci) studies using biparental mapping populations have identified QTL for seed dormancy and seed grade traits. Here, we report a genome-wide association study (GWAS) to detect marker-trait associations for seed germination, dormancy, and seed grading traits in peanut. A total of 120 accessions from the U.S. peanut mini-core collection were evaluated for seed quality traits and genotyped using Axiom SNP (single nucleotide polymorphism) array for peanut. We observed significant variation in seed quality traits in different accessions and different botanical varieties. Through GWAS, we were able to identify multiple regions associated with sound mature kernels, seed weight, shelling percent, seed germination, and dormancy. Some of the genomic regions that were SNP associated with these traits aligned with previously known QTLs. For instance, QTL for seed dormancy has been reported on chromosome A05, and we also found SNP on the same chromosome associated with seed dormancy, explaining around 20% of phenotypic variation. In addition, we found novel genomic regions associated with seed grading, seed germination, and dormancy traits. SNP markers associated with seed quality and dormancy identified here can accelerate the selection process. Further, exploring the function of candidate genes identified in the vicinity of the associated marker will assist in understanding the complex genetic network that governs seed quality.

Indexed as

diversity panelGWASpeanutseed quality traits

Identifiers

PMID35406817
PMCPMC9003526
OpenAlexW4223617627

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.