Evidence map›Paper›PMID 26654531›Full record

ArticleBMC plant biology2015

Genetic basis of maize kernel starch content revealed by high-density single nucleotide polymorphism markers in a recombinant inbred line population.

Tingting Wang, Min Wang, Shuting Hu, Yingni Xiao, Hao Tong, Qingchun Pan, Jiquan Xue, Jianbing Yan, Jiansheng Li, Xiaohong Yang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 43 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
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  2. Review
  3. Genetic Dissection and Functional Validation ofInternational journal of molecular sciences · 2026
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  17. QTL mapping for maize starch content and candidate gene prediction combined with co-expression network analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  18. Article
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  20. QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    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

10 authors at 3 institutions in 1 country.

Tingting WangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. wangtt0615@cau.edu.cn.
Min WangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. kumine@163.com.
Shuting HuNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. hushutingcau@163.com.
Yingni XiaoNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. xyn_xyn@126.com.
Hao TongNational Key Laboratory of Crop Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. tonghao0605@gmail.com.
Qingchun PanNational Key Laboratory of Crop Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. panqingchunmice@163.com.
Jiquan XueCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China. xjq2934@163.com.
Jianbing YanNational Key Laboratory of Crop Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. yjianbing@mail.hzau.edu.cn.
Jiansheng LiNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. lijiansheng@cau.edu.cn.
Xiaohong YangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China. yxiaohong@cau.edu.cn.
China Agricultural University · CNHuazhong Agricultural University · CNNorthwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStarch from maize kernels has diverse applications in human and animal diets and in industry and manufacturing. To meet the demands of these applications, starch quantity and quality need improvement, which requires a clear understanding of the functional mechanisms involved in starch biosynthesis and accumulation. In this study, a recombinant inbred line (RIL) population was developed from a cross between inbred lines CI7 and K22. The RIL population, along with both parents, was grown in three environments, and then genotyped using the MaizeSNP50 BeadChip and phenotyped to dissect the genetic architecture of starch content in maize kernels.

resultsBased on the genetic linkage map constructed using 2,386 bins as markers, six quantitative trait loci (QTLs) for starch content in maize kernels were detected in the CI7/K22 RIL population. Each QTL accounted for 4.7% (qSTA9-1) to 10.6% (qSTA4-1) of the starch variation. The QTL interval was further reduced using the bin-map method, with the physical distance of a single bin at the QTL peak ranging from 81.7 kb to 2.2 Mb. Based on the functional annotations and prior knowledge of the genes in the top bin, seven genes were considered as potential candidate genes for the identified QTLs. Three of the genes encode enzymes in non-starch metabolism but may indirectly affect starch biosynthesis, and four genes may act as regulators of starch biosynthesis.

conclusionsA few large-effect QTLs, together with a certain number of minor-effect QTLs, mainly contribute to the genetic architecture of kernel starch content in our maize biparental linkage population. All of the identified QTLs, especially the large-effect QTL, qSTA4-1, with a small QTL interval, will be useful for improving the maize kernel starch content through molecular breeding.

Indexed as

Polymorphism, Single NucleotideChromosome MappingChromosomes, PlantGenetic LinkageInbreedingPhenotypeQuantitative Trait LociSeedsStarchZea maysStarch

Identifiers

PMID26654531
PMCPMC4676831
OpenAlexW2192549807

What OpenQuestion holds

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LicenceCC BY
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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.