Evidence map›Paper›PMID 42373857›Full record

ArticleNature genetics2026

Multiomics analysis of primary metabolism reveals the genetic basis of nitrogen partitioning modulated by ZmAVT1A-1 in maize.

Min Jin, Shijuan Yan, Yuting Wu, Zhaowei Zhai, Saleh Alseekh, Yuanyuan Chen, Wenjie Huang, Niannian Ma, Keyu Tao, Kangyi Xiao and 20 more

Abstract read
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In one paragraph

Article in Nature genetics, 2026. 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
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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

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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

30 authors.

Min Jin *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Shijuan Yan *Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Guangzhou, China.
Yuting WuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zhaowei ZhaiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-8832-4901
Saleh AlseekhDepartment of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID http://orcid.org/0000-0003-2067-5235
Yuanyuan ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Wenjie HuangGuangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Guangzhou, China.
Niannian MaYazhouwan National Laboratory, Sanya, China.
Keyu TaoYazhouwan National Laboratory, Sanya, China.
Kangyi XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yongli ZhuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yanhui YuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0009-0009-9596-4518
Yang ShaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Chenglin JiangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiangguo LiuInstitute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Jiamin SunNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0001-9903-0629
Yanzhi QuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Wenjie WeiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0003-4105-9693
Wenqiang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Jieting XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Jingyun LuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiaqing WangBeijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing Academy of Agricultural and Forestry Sciences, Beijing, China.
Lin ZhuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Junpeng ZhanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0001-7353-7608
Fazhan QiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Ning YangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-6354-3534
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Hai-Jun LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Alisdair R FernieDepartment of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.ORCID http://orcid.org/0000-0001-9000-335X
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. yjianbing@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0001-8650-7811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize primary metabolism drives complex agronomic traits, yet its genetic regulation remains difficult to resolve. Here we integrated genomic, transcriptomic and metabolomic data from 1,404 maize progenies derived from 24 diverse founders to dissect the genetic architecture of primary metabolism. We constructed a high-confidence regulatory network that resolved causal genes underlying metabolic quantitative trait loci and successfully identified targets for improving maize nutritional quality. This systems-level framework further prioritized ZmAVT1A-1, encoding a putative amino acid transporter, as a key regulator of amino acid accumulation. Natural variation and transgenic analyses showed that ZmAVT1A-1 modulates nitrogen partitioning between vegetative tissues and kernels, revealing pleiotropic effects on agronomic traits. These findings illustrated the intricate trade-offs inherent in metabolic regulation. Together, our study provides a comprehensive multiomics resource for decoding metabolic networks and underscores the necessity of a systems approach to navigate the pleiotropic nature of crop improvement targets.

Indexed as

Amino Acid Transport SystemsNitrogenPlant ProteinsZea maysGene Expression ProfilingGene Expression Regulation, PlantGenomicsMetabolomeMetabolomicsMultiomicsPlants, Genetically ModifiedQuantitative Trait LociTranscriptomeAmino Acid Transport SystemsNitrogenPlant Proteins

Identifiers

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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.