Evidence map›Paper›PMID 38935162›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Genome-wide association studies dissect low-phosphorus stress response genes underling field and seedling traits in maize.

Bowen Luo, Guidi Zhang, Ting Yu, Chong Zhang, Guohui Yang, Xianfu Luo, Shuhao Zhang, Jianyong Guo, Haiying Zhang, Hao Zheng and 13 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Frontiers in plant science · 2025
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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

23 authors.

Bowen Luo *State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China.
Guidi Zhang *Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Ting Yu *Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Chong ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Guohui YangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xianfu LuoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Shuhao ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jianyong GuoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Haiying ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Hao ZhengCollege of Agronomy, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Zirui TangCollege of Agronomy, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Qile LiCollege of Agronomy, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Yuzhou LanDepartment of Plant Breeding, The Swedish University of Agricultural Sciences, P.O. Box 190, 23422, Lomma, Sweden.
Peng MaMianyang Academy of Agricultural Sciences, Mianyang, 621023, Sichuan, China.
Zhi NieSichuan Academy of Agricultural Sciences, Biotechnology and Nuclear Technology Research Institute, Chengdu, China.
Xiao ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Dan LiuMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Ling WuMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Duojiang GaoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Shiqiang GaoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Shunzong SuCollege of Resources, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jia GuoRice Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Shibin GaoState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China. shibingao@163.com.ORCID http://orcid.org/0000-0001-7184-580X

Funding

National Key Research and Development Program of China 2021YFD1200704National Key Research and Development Program of China 2021YFF1000500National Natural Science Foundation of China 31471511National Natural Science Foundation of China 31971955National Natural Science Foundation of China 32101655Postdoctoral Research Foundation of China 2022M712292Sichuan maize innovation team of national modern agricultural industry technology system SCCXTD-2024-02Sichuan Province Science and Technology Support Program 2021YFFZ0017Sichuan Province Science and Technology Support Program 2021YFYZ0020Sichuan Province Science and Technology Support Program 2021YFYZ0027Sichuan Province Science and Technology Support Program 2023YFH0038
6 · The paper itself

Abstract

Phosphorus (P) is an essential element for plant growth, and its deficiency can cause decreased crop yield. This study systematically evaluated the low-phosphate (Pi) response traits in a large population at maturity and seedling stages, and explored candidate genes and their interrelationships with specific traits. The results revealed a greater sensitivity of seedling maize to low-Pi stress compared to that at maturity stage. The phenotypic response patterns to low-Pi stress at different stages were independent. Chlorophyll content was found to be a potential indicator for screening low-Pi-tolerant materials in the field. A total of 2900 and 1446 significantly associated genes at the maturity and seedling stages were identified, respectively. Among these genes, 972 were uniquely associated with maturity traits, while 330 were specifically detected at the seedling stage under low-Pi stress. Moreover, 768 and 733 genes were specifically associated with index values (low-Pi trait/normal-Pi trait) at maturity and seedling stage, respectively. Genetic network diagrams showed that the low-Pi response gene Zm00001d022226 was specifically associated with multiple primary P-related traits under low-Pi conditions. A total of 963 out of 2966 genes specifically associated with traits under low-Pi conditions or index values were found to be induced by low-Pi stress. Notably, ZmSPX4.1 and ZmSPX2 were sharply up-regulated in response to low-Pi stress across different lines or tissues. These findings advance our understanding of maize's response to low-Pi stress at different developmental stages, shedding light on the genes and pathways implicated in this response.

Indexed as

PhenotypePhosphorusSeedlingsStress, PhysiologicalZea maysChlorophyllGene Expression Regulation, PlantGenes, PlantGenetic Association StudiesGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociChlorophyllPhosphorus

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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.