Evidence map›Paper›PMID 35183125›Full record

ArticleBMC genomics2022

Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].

Huan Wang, Jia Jia, Zhandong Cai, Mingming Duan, Ze Jiang, Qiuju Xia, Qibin Ma, Tengxiang Lian, Hai Nian

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  7. Genetic linkage map construction and QTL mapping for panicle-related traits in foxtail millet (Molecular breeding : new strategies in plant improvement · 2025
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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

9 authors at 3 institutions in 1 country.

Huan Wang *The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Jia Jia *The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Zhandong Cai *The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Mingming DuanThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Ze JiangThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Qiuju XiaRice Molecular Breeding Institute, GRANLUX ASSOCIATED GRAINS, 518024, Shenzhen, Guangdong, People's Republic of China.
Qibin MaThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Tengxiang LianThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China.
Hai NianThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, 510642, Guangzhou, Guangdong, People's Republic of China. hnian@scau.edu.cn.
Key Laboratory of Guangdong Province · CNSouth China Agricultural University · CNRice Research Institute · CN

Funding

the China Agricultural Research System CARS-04-PS09the Guangdong Agricultural Research System 2019KJ136the National Key R&D Program of China 2017YFD0101505the R & D Project in Key Areas of Guangdong Province 2020B020220008
6 · The paper itself

Abstract

backgroundDeciphering the hereditary mechanism of seed iron (Fe) and zinc (Zn) content in soybean is important and sustainable to address the "hidden hunger" that presently affects approximately 2 billion people worldwide. Therefore, in order to detect genomic regions related to soybean seed Fe and Zn content, a recombinant inbred line (RIL) population with 248 lines was assessed in four environments to detect Quantitative Trait Loci (QTLs) related to soybean seed Fe and Zn content.

resultWide variation was found in seed Fe and Zn content in four environments, and genotype, environment, and genotype × environment interactions had significant influences on both the seed Fe and Zn content. A positive correlation was observed between seed Fe content and seed Zn content, and broad-sense heritability (H

conclusionsLimited studies were performed about microelement of soybean, so these results may play an important role in the biofortification of Fe and Zn and accelerate the development of marker-assisted selection (MAS) for breeding soybeans fortified with iron and zinc.

Indexed as

Glycine maxQuantitative Trait LociChromosome MappingHumansIronPhenotypeZincIronZincBiofortificationIron ContentQTL mappingSoybeanWGSZinc content

Identifiers

PMID35183125
PMCPMC8857819
OpenAlexW4212800287

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.