Evidence map›Paper›PMID 39080529›Full record

ArticleBMC plant biology2024

Genome-wide association study of trace elements in maize kernels.

Weiwei Chen, Xuhui Li, Xiangbo Zhang, Zaid Chachar, Chuanli Lu, Yongwen Qi, Hailong Chang, Qinnan Wang

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Weiwei Chen *Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China.
Xuhui Li *Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China.
Xiangbo ZhangInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China.
Zaid ChacharCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China.
Chuanli LuInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China.
Yongwen QiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China.
Hailong ChangInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China. hl2004@126.com.
Qinnan WangInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China. wangqinnan66@163.com.

Funding

the Basic and Applied Basic Research Fund of Guangdong Province 2022A1515110760the GDAS' Project of Science and Technology Development 2022GDASZH-2022010102the Guangdong Province Special Projects in Key Fields of Ordinary Colleges and Universities, the Guangdong Province Key Construction Discipline Research Ability Enhancement Project 2022ZDJS023the National Natural Science Foundation of China 32072027the Special Project for Rural Revitalization Strategy in Guangdong Provincethe Special Project for Rural Revitalization Strategy in Guangdong Province 2022-NPY-00-023-5
6 · The paper itself

Abstract

Maize (Zea mays L.), a staple food and significant economic crop, is enriched with riboflavin, micronutrients and other compounds that are beneficial for human health. As emphasis on the nutritional quality of crops increases maize research has expanded to focus on both yield and quality. This study exploreed the genetic factors influencing micronutrient levels in maize kernels through a comprehensive genome-wide association study (GWAS). We utilized a diverse panel of 244 inbred maize lines and approximately 3 million single nucleotide polymorphisms (SNPs) to investigate the accumulation of essential and trace elements including cadmium (Cd), cobalt (Co), copper (Cu), nickel (Ni), selenium (Se) and zinc (Zn). Our analysis identified 842 quantitative trait loci (QTLs), with 12 QTLs shared across multiple elements and pinpointed 524 potential genes within a 100 kb radius of these QTLs. Notably ZmHMA3 has emerged as a key candidate gene previously reported to influence the Cd accumulation. We highlighted ten pivotal genes associated with trace element transport including those encoding heavy metal ATPases, MYB transcription factors, ABC transporters and other crucial proteins involved in metal handling. Additionally, haplotype analysis revealed that eight inbred linesaccumulated relatively high levels of beneficial elements while harmful elements were minimized. These findings elucidate the genetic mechanisms underlying trace element accumulation in maize kernels and provide a foundation for the breeding of nutritionally enhanced maize varieties.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociTrace ElementsZea maysHaplotypesSeedsTrace ElementsCandidate genesGWASHaplotype analysisMaize kernelQTLsTrace element

Identifiers

PMID39080529
PMCPMC11287846

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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 OpenQuestion graph.