Evidence map›Paper›PMID 25888360›Full record

ArticleBMC genetics2015

Comparative mapping combined with homology-based cloning of the rice genome reveals candidate genes for grain zinc and iron concentration in maize.

Tiantian Jin, Jingtang Chen, Liying Zhu, Yongfeng Zhao, Jinjie Guo, Yaqun Huang

Open access · diamondAbstract readComparative Study
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  4. Review
  5. Genomic prediction and QTL analysis for grain Zn content and yield inJournal of plant biochemistry and biotechnology · 2024
    Article
  6. Review
  7. Identification of Zinc Efficiency-Associated Loci (International journal of molecular sciences · 2022
    Article
  8. Meta-QTLs, ortho-MetaQTLs and candidate genes for grain Fe and Zn contents in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  16. Identification and validation of genomic regions influencing kernel zinc and iron in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  17. Genome-wide association analysis of lead accumulation in maize.Molecular genetics and genomics : MGG · 2018
    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

6 authors at 1 institution in 1 country.

Tiantian JinHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. 396796822@qq.com.
Jingtang ChenHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. jtchen@hebau.edu.cn.
Liying ZhuHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. zhuliyiny@126.com.
Yongfeng ZhaoHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. zhaoyongfeng@hebau.edu.cn.
Jinjie GuoHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. guojinjie512@163.com.
Yaqun HuangHebei Branch of Chinese National Maize Improvement Center, Agricultural University of Hebei, Baoding, People's Republic of China. hyqun@hebau.edu.cn.
Hebei Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrain zinc and iron concentration is a complex trait that is controlled by quantitative trait loci (QTL) and is important for maintaining body health. Despite the substantial effort that has been put into identifying QTL for grain zinc and iron concentration, the integration of independent QTL is useful for understanding the genetic foundation of traits. The number of QTL for grain zinc and iron concentration is relatively low in a single species. Therefore, combined analysis of different genomes may help overcome this challenge.

resultsAs a continuation of our work on maize, meta-analysis of QTL for grain zinc and iron concentration in rice was performed to identify meta-QTL (MQTL). Based on MQTL in rice and maize, comparative mapping combined with homology-based cloning was performed to identify candidate genes for grain zinc and iron concentration in maize. In total, 22 MQTL in rice, 4 syntenic MQTL-related regions, and 3 MQTL-containing candidate genes in maize (ortho-mMQTL) were detected. Two maize orthologs of rice, GRMZM2G366919 and GRMZM2G178190, were characterized as natural resistance-associated macrophage protein (NRAMP) genes and considered to be candidate genes. Phylogenetic analysis of NRAMP genes among maize, rice, and Arabidopsis thaliana further demonstrated that they are likely responsible for the natural variation of maize grain zinc and iron concentration.

conclusionsSyntenic MQTL-related regions and ortho-mMQTL are prime areas for future investigation as well as for marker-assisted selection breeding programs. Furthermore, the combined method using the rice genome that was used in this study can shed light on other species and help direct future quantitative trait research. In conclusion, these results help elucidate the molecular mechanism that underlies grain zinc and iron concentration in maize.

Indexed as

Chromosome MappingChromosomes, PlantOryzaQuantitative Trait LociZea maysZincZinc

Identifiers

PMID25888360
PMCPMC4377022
OpenAlexW2003094336

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LicenceCC BY
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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.