Evidence map›Paper›PMID 33386670›Full record

ArticlePlant biotechnology journal2021

The genetic architecture of the dynamic changes in grain moisture in maize.

Wenqiang Li, Yanhui Yu, Luxi Wang, Yun Luo, Yong Peng, Yuancheng Xu, Xiangguo Liu, Shenshen Wu, Liumei Jian, Jieting Xu and 2 more

Abstract 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. A combination of QTL mapping and genome‑wide association study revealed key genes for heat tolerance in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Review
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  10. QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  11. Article
  12. Article
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  14. Article
  15. The genetic architecture of prolificacy in maize revealed by association mapping and bulk segregant analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  16. Transcriptomic Analysis of the Dehydration Rate of Mature Rice (International journal of molecular sciences · 2023
    Article
  17. Article
  18. Article
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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

12 authors.

Wenqiang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yanhui YuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Luxi WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yun LuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yong PengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yuancheng XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiangguo LiuInstutute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
Shenshen WuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Liumei JianNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Jieting XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0001-7276-653X
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0001-8650-7811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low grain moisture at harvest is crucial for safe production, transport and storage, but the genetic architecture of this trait in maize (Zea mays) remains elusive. Here, we measured the dynamic changes in grain moisture content in an association-mapping panel of 513 diverse maize inbred lines at five successive stages across five geographical environments. Genome-wide association study (GWAS) revealed 71 quantitative trait loci (QTLs) that influence grain moisture in maize. Epistatic effects play vital roles in the variability in moisture levels, even outperforming main-effect QTLs during the early dry-down stages. Distinct QTL-environment interactions influence the spatio-temporal variability of maize grain moisture, which is primarily triggered at specific times. By combining genetic population analysis, transcriptomic profiling and gene editing, we identified GRMZM5G805627 and GRMZM2G137211 as candidate genes underlying major QTLs for grain moisture in maize. Our results provide insights into the genetic architecture of dynamic changes in grain moisture, which should facilitate maize breeding.

Indexed as

Genome-Wide Association StudyZea maysChromosome MappingEdible GrainPhenotypePlant BreedingSeedsgenetic basisgrain moistureGWASmoisture plasticityQTL

Identifiers

PMID33386670
PMCPMC8196655

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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.