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ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Exploring the phosphorus-starch content balance mechanisms in maize grains using GWAS population and transcriptome data.

Bowen Luo, Haiying Zhang, Zheng Han, Xiao Zhang, Jianyong Guo, Shuhao Zhang, Xianfu Luo, Jin Zhao, Wei Wang, Guohui Yang and 16 more

Abstract read
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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

26 authors.

Bowen Luo *State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China.
Haiying Zhang *Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Zheng Han *Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xiao ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jianyong GuoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Shuhao ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xianfu LuoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jin ZhaoMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Wei WangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Guohui YangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Chong ZhangMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Jing LiMaize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Junchi MaMaize 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.
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.
Yunjian LiMaize 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 Science and Technology Support Project 2021YFFZ0017Sichuan Science and Technology Support Project 2021YFYZ0020Sichuan Science and Technology Support Project 2021YFYZ0027Sichuan Science and Technology Support Project 2023YFH0038
6 · The paper itself

Abstract

Examining the connection between P and starch-related signals can help elucidate the balance between nutrients and yield. This study utilized 307 diverse maize inbred lines to conduct multi-year and multi-plot trials, aiming to explore the relationship among P content, starch content, and 100-kernel weight (HKW) of mature grains. A significant negative correlation was found between P content and both starch content and HKW, while starch content showed a positive correlation with HKW. The starch granules in grains with high-P and low-starch content (HPLS) were significantly smaller compared to grains with low-P high-starch content (LPHS). Additionally, mian04185-4 (HPLS) exhibited irregular and loosely packed starch granules. A significant decrease in ZmPHOs genes expression was detected in the HPLS line ZNC442 as compared to the LPHS line SCML0849, while no expression difference was observed in AGPase encoding genes between these two lines. The down-regulated genes in ZNC442 grains were enriched in nucleotide sugar and fatty acid anabolic pathways, while up-regulated genes were enriched in the ABC transporters pathway. An accelerated breakdown of fat as the P content increased was also observed. This implied that HPLS was resulted from elevated lipid decomposition and inadequate carbon sources. The GWAS analysis identified 514 significantly associated genes, out of which 248 were differentially expressed. Zm00001d052392 was found to be significantly associated with P content/HKW, exhibiting high expression in SCML0849 but almost no expression in ZNC442. Overall, these findings suggested new approaches for achieving a P-yield balance through the manipulation of lipid metabolic pathways in grains.

Indexed as

PhosphorusStarchTranscriptomeZea maysEdible GrainGene Expression Regulation, PlantGenome-Wide Association StudyPhenotypeQuantitative Trait LociPhosphorusStarch

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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.