Evidence map›Paper›PMID 40330706›Full record

ArticlePlant direct2025

Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.

Caijin Chen, Panthita Ruang-Areerate, Anthony J Travis, Alex Douglas, David E Salt, Shannon R M Pinson, Georgia C Eizenga, Adam H Price, Gareth J Norton

Abstract read
In one paragraph

Article in Plant direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Caijin ChenSchool of Biological Sciences University of Aberdeen Aberdeen UK.
Panthita Ruang-AreerateNational Omics Center National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand.ORCID https://orcid.org/0000-0003-3864-1404
Anthony J TravisSchool of Biological Sciences University of Aberdeen Aberdeen UK.ORCID https://orcid.org/0000-0001-9895-8310
Alex DouglasSchool of Biological Sciences University of Aberdeen Aberdeen UK.
David E SaltSchool of Biosciences University of Nottingham Sutton Bonington UK.
Shannon R M PinsonDale Bumpers National Rice Research Center USDA Agricultural Research Service Stuttgart Arkansas USA.
Georgia C EizengaDale Bumpers National Rice Research Center USDA Agricultural Research Service Stuttgart Arkansas USA.
Adam H PriceSchool of Biological Sciences University of Aberdeen Aberdeen UK.
Gareth J NortonSchool of Biological Sciences University of Aberdeen Aberdeen UK.ORCID https://orcid.org/0000-0003-4560-170X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is a globally important crop and is particularly efficient at assimilating arsenic (As). Identifying QTLs and genes associated with grain As is essential for breeding low-As rice cultivars. In this study, data on As accumulation in grains of Rice Diversity Panel 1 in five field environments at four diverse geographic sites were reanalyzed to compare genome-wide association (GWA) methods. Two single-locus (EMMAX for single trait and GEMMA for multi-experiments) and six multi-locus (FASTmrEMMA, ISIS EM-BLASSO, mrMLM, pKWmEB, pLARmEB, and FASTmrMLM) GWA methods were used. A total of 90 and 111 QTLs were detected using EMMAX and GEMMA, respectively. A total of 2, 11, 12, 19, 23, and 25 QTNs were identified by FASTmrEMMA, ISIS EM-BLASSO, mrMLM, pKWmEB, pLARmEB, and FASTmrMLM, respectively. Among these, 22 QTLs/QTNs were co-detected by single-locus and multi-locus GWAS methods. From these QTLs/QTNs, a total of 10 candidate genes were identified. Analysis of the haplotype variants of one candidate genes,

Indexed as

candidate genesgenome‐wide association mappinggrain arsenicquantitative trait lociriceRice Diversity Panel 1

Identifiers

PMID40330706
PMCPMC12050220

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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.