Evidence map›Paper›PMID 26496865›Full record

ArticleBMC plant biology2015

Analysis of genetic differentiation and genomic variation to reveal potential regions of importance during maize improvement.

Xun Wu, Yongxiang Li, Xin Li, Chunhui Li, Yunsu Shi, Yanchun Song, Zuping Zheng, Yu Li, Tianyu Wang

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
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  8. Genome-wide association studies of leaf angle in maize.Molecular breeding : new strategies in plant improvement · 2021
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  13. Genetic architecture of phenotypic means and plasticities of kernel size and weight in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    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

9 authors at 2 institutions in 1 country.

Xun WuInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China. wuxunyong@126.com.
Yongxiang LiInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China. yongxiangli@163.com.
Xin LiInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China. liyu03@caas.cn.
Chunhui LiInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China.
Yunsu ShiInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China.
Yanchun SongInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China.
Zuping ZhengNanchong Academy of Agricultural Sciences, Nanchong, Sichuan, China.
Yu LiInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China. liyu03@caas.cn.
Tianyu WangInstitute of Crop Science, Chinese Academy of Agricultural Science, Beijing, China. wangtianyu@caas.cn.
Institute of Crop Sciences · CNAnyang Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExploring genetic differentiation and genomic variation is important for both the utilization of heterosis and the dissection of the genetic bases of complex traits.

methodsWe integrated 1857 diverse maize accessions from America, Africa, Europe and Asia to investigatetheir genetic differentiation, genomic variation using 43,252 high-quality single-nucleotide polymorphisms(SNPs),combing GWAS and linkage analysis strategy to exploring the function of relevant genetic segments.

resultsWe uncovered many more subpopulations that recently or historically formed during the breeding process. These patterns are represented by the following lines: Mo17, GB, E28, Ye8112, HZS, Shen137, PHG39, B73, 207, A634, Oh43, Reid Yellow Dent, and the Tropical/subtropical (TS) germplasm. A total of 85 highly differentiated regions with a DEST of more than 0.2 were identified between the TS and temperate subpopulations. These regions comprised 79% of the genetic variation, and most were significantly associated with adaptive traits. For example, the region containing the SNP tag PZE.108075114 was highly differentiated, and this region was significantly associated with flowering time (FT)-related traits, as supported by a genome-wide association study (GWAS) within the interval of FT-related quantitative trait loci (QTL). This region was also closely linked to zcn8 and vgt1, which were shown to be involved in maize adaptation. Most importantly, 197 highly differentiated regions between different subpopulation pairs were located within an FT- or plant architecture-related QTL.

conclusionsHere we reported that 700-1000 SNPs were necessary needed to robustly estimate the genetic differentiation of a naturally diverse panel. In addition, 13 subpopulations were observed in maize germplasm, 85 genetic regions with higher differentiation between TS and temperate maize germplasm, 197 highly differentiated regions between different subpopulation pairs, which contained some FT- related QTNs/QTLs/genes supported by GWAS and linkage analysis, and these regions were expected to play important roles in maize adaptation.

Indexed as

Genetic VariationCluster AnalysisEcotypeFlowersGenetics, PopulationGenome, PlantGenome-Wide Association StudyModels, GeneticPrincipal Component AnalysisQuantitative Trait, HeritableZea mays

Identifiers

PMID26496865
PMCPMC4620006
OpenAlexW1841562609

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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.