Evidence map›Paper›PMID 41752196›Full record

ArticleInternational journal of molecular sciences2026

GWAS-Based Mining of Candidate Genes for Low-Nitrogen Tolerance in Maize.

Baobao Wang, Luo Xu, Ying Huang, Shaoxin Wang, Zhongjian Li, Rui Guo, Liang Ma, Liping Xu, Zhaohan Yue, Jianying Feng and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

11 authors.

Baobao WangShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Luo XuShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Ying HuangNational Key Laboratory of Crop Gene Resources and Germplasm Enhancement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Shaoxin WangShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Zhongjian LiShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Rui GuoKey Laboratory of Crop Genetics and Breeding of Hebei Province, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, China.
Liang MaShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Liping XuShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Zhaohan YueShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Jianying FengShijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang 050041, China.
Dengfeng ZhangNational Key Laboratory of Crop Gene Resources and Germplasm Enhancement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Funding

Special cooperation project between Shijiazhuang City and the Chinese Academy of Agricultural Sciences - Innovation and utilization of excellent germplasm of nitrogen - efficient maize, grant number 242490262A
6 · The paper itself

Abstract

Nitrogen (N) is an essential yield-limiting factor in maize, and identifying genes that improve nitrogen use efficiency (NUE) is critical for sustainable agriculture and environmental protection. However, the genetic basis of NUE in maize remains poorly understood. In this study, we performed a genome-wide association study (GWAS) using a mixed linear model (MLM) controlling for population structure and kinship, based on an association panel of 282 maize inbred lines genotyped via the Maize 50K GBTS array (53,162 SNPs). Ten NUE-related traits (grain yield, hundred-kernel weight, ear length, ear diameter, kernel row number, kernel number per row, SPAD value, ASI, plant height, ear height) were evaluated under two N levels during the 2024-2025 growing seasons. The GWAS analysis detected 122 significant SNPs in gene regions linked to low N tolerance under the studied conditions. Linkage disequilibrium analysis and functional annotation narrowed down 26 candidate genes, whose GO and KEGG enrichment analyses (Fisher's exact test) identified three core genes (

Indexed as

Genes, PlantGenome-Wide Association StudyNitrogenZea maysGenotypeLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociNitrogencandidate genesGWASlow nitrogen tolerance

Identifiers

PMID41752196
PMCPMC12940573

What Socratic holds

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Registered trials

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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 Socratic graph.