Evidence map›Paper›PMID 34077617›Full record

ArticlePlant biotechnology journal2021

Genetic basis of kernel starch content decoded in a maize multi-parent population.

Shuting Hu, Min Wang, Xuan Zhang, Wenkang Chen, Xinran Song, Xiuyi Fu, Hui Fang, Jing Xu, Yingni Xiao, Yaru Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

37 citing papers in PubMed, 57 citations in OpenAlex.

  1. Combined linkage mapping and association analysis reveal the genetic control of starch content in maize kernel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Genetic Dissection and Functional Validation ofInternational journal of molecular sciences · 2026
    Article
  3. Trehalose-6-phosphate phosphatase-mediated trehalose metabolism shapes sorghum grain domestication for brewing adaptation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  20. Exploring the phosphorus-starch content balance mechanisms in maize grains using GWAS population and transcriptome data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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

13 authors at 4 institutions in 1 country.

Shuting HuState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Min WangState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Xuan ZhangState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Wenkang ChenState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Xinran SongState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Xiuyi FuState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Hui FangState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.ORCID 0000-0002-3400-9746
Jing XuState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Yingni XiaoState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Yaru LiState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Guanghong BaiAgronomy College, Xinjiang Agricultural University, Urumqi, China.
Jiansheng LiState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.
Xiaohong YangState Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Lab of Maize Biology, China Agricultural University, Beijing, China.ORCID 0000-0001-6438-948X
China Agricultural University · CNXinjiang Agricultural University · CNBeijing Academy of Agricultural and Forestry Sciences · CNGuangdong Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starch is the most abundant storage carbohydrate in maize kernels and provides calories for humans and other animals as well as raw materials for various industrial applications. Decoding the genetic basis of natural variation in kernel starch content is needed to manipulate starch quantity and quality via molecular breeding to meet future needs. Here, we identified 50 unique single quantitative trait loci (QTLs) for starch content with 18 novel QTLs via single linkage mapping, joint linkage mapping and a genome-wide association study in a multi-parent population containing six recombinant inbred line populations. Only five QTLs explained over 10% of phenotypic variation in single populations. In addition to a few large-effect and many small-effect additive QTLs, limited pairs of epistatic QTLs also contributed to the genetic basis of the variation in kernel starch content. A regional association study identified five non-starch-pathway genes that were the causal candidate genes underlying the identified QTLs for starch content. The pathway-driven analysis identified ZmTPS9, which encodes a trehalose-6-phosphate synthase in the trehalose pathway, as the causal gene for the QTL qSTA4-2, which was detected by all three statistical analyses. Knockout of ZmTPS9 increased kernel starch content and, in turn, kernel weight in maize, suggesting potential applications for ZmTPS9 in maize starch and yield improvement. These findings extend our knowledge about the genetic basis of starch content in maize kernels and provide valuable information for maize genetic improvement of starch quantity and quality.

Indexed as

StarchZea maysChromosome MappingGenetic LinkageGenome-Wide Association StudyPhenotypeQuantitative Trait LociStarchassociation mappinglinkage analysispathway-drivenstarch contenttrehalose-6-phosphate synthase

Identifiers

PMID34077617
PMCPMC8541773
OpenAlexW3164126528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.