Evidence map›Paper›PMID 25652714›Full record

ArticleBMC genomics2015

Genome-wide association analysis of seedling root development in maize (Zea mays L.).

Jordon Pace, Candice Gardner, Cinta Romay, Baskar Ganapathysubramanian, Thomas Lübberstedt

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 216 citations in OpenAlex.

  1. Pooled it
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  5. GWAS and gene co-expression network analysis reveal the genetic control of seed germination under salt stress in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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29 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Jordon PaceDepartment of Agronomy, Iowa State University, Ames, Iowa, 50013, USA. jmpace1@iastate.edu.
Candice GardnerDepartment of Agronomy, Iowa State University, Ames, Iowa, 50013, USA. candice.gardner@ars.usda.gov.
Cinta RomayInstitute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA. mcr72@cornell.edu.
Baskar GanapathysubramanianDepartment of Mechanical Engineering, Iowa State University, Ames, Iowa, 50013, USA. baskarg@iastate.edu.
Thomas LübberstedtDepartment of Agronomy, Iowa State University, Ames, Iowa, 50013, USA. thomasl@iastate.edu.
Iowa State University · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants rely on the root system for anchorage to the ground and the acquisition and absorption of nutrients critical to sustaining productivity. A genome wide association analysis enables one to analyze allelic diversity of complex traits and identify superior alleles. 384 inbred lines from the Ames panel were genotyped with 681,257 single nucleotide polymorphism markers using Genotyping-by-Sequencing technology and 22 seedling root architecture traits were phenotyped.

resultsUtilizing both a general linear model and mixed linear model, a GWAS study was conducted identifying 268 marker trait associations (p ≤ 5.3×10(-7)). Analysis of significant SNP markers for multiple traits showed that several were located within gene models with some SNP markers localized within regions of previously identified root quantitative trait loci. Gene model GRMZM2G153722 located on chromosome 4 contained nine significant markers. This predicted gene is expressed in roots and shoots.

conclusionThis study identifies putatively associated SNP markers associated with root traits at the seedling stage. Some SNPs were located within or near (<1 kb) gene models. These gene models identify possible candidate genes involved in root development at the seedling stage. These and respective linked or functional markers could be targets for breeders for marker assisted selection of seedling root traits.

Indexed as

Genome-Wide Association StudyChromosome MappingLinkage DisequilibriumPhenotypePlant RootsQuantitative Trait LociSeedlingsZea mays

Identifiers

PMID25652714
PMCPMC4326187
OpenAlexW2044116837

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.