Evidence map›Paper›PMID 33046012›Full record

ArticleBMC plant biology2020

Unlocking the relationships among population structure, plant architecture, growing season, and environmental adaptation in Henan wheat cultivars.

Jian Yang, Yanjie Zhou, Weiguo Hu, Yu'e Zhang, Yong Zhou, Yongxing Chen, Xicheng Wang, Hong Zhao, Tingjie Cao, Zhiyong Liu

Abstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. 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

10 authors.

Jian YangWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Yanjie ZhouWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Weiguo HuWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Yu'e ZhangWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Yong ZhouCenter for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Yongxing ChenState Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
Xicheng WangWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Hong ZhaoWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China.
Tingjie CaoWheat Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan, China. caotingjie893@163.com.ORCID http://orcid.org/0000-0003-2357-8000
Zhiyong LiuState Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China. zyliu@genetics.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEcological environments shape plant architecture and alter the growing season, which provides the basis for wheat genetic improvement. Therefore, understanding the genetic basis of grain yield and yield-related traits in specific ecological environments is important.

resultsA structured panel of 96 elite wheat cultivars grown in the High-yield zone of Henan province in China was genotyped using an Illumina iSelect 90 K SNP assay. Selection pressure derived from ecological environments of mountain front and plain region provided the initial impetus for population divergence. This determined the dominant traits in two subpopulations (spike number and spike percentage were dominance in subpopulation 2:1; thousand-kernel weight, grain filling rate (GFR), maturity date (MD), and fertility period (FP) were dominance in subpopulation 2:2), which was also consistent with their inheritance from the donor parents. Genome wide association studies identified 107 significant SNPs for 12 yield-related traits and 10 regions were pleiotropic to multiple traits. Especially, GY was co-located with MD/FP, GFR and HD at QTL-ple5A, QTL-ple7A.1 and QTL-ple7B.1 region. Further selective sweep analysis revealled that regions under selection were around QTLs for these traits. Especially, grain yield (GY) is positively correlated with MD/FP and they were co-located at the VRN-1A locus. Besides, a selective sweep signal was detected at VRN-1B locus which was only significance to MD/FP.

conclusionsThe results indicated that extensive differential in allele frequency driven by ecological selection has shaped plant architecture and growing season during yield improvement. The QTLs for yield and yield components detected in this study probably be selectively applied in molecular breeding.

Indexed as

Plant BreedingAdaptation, PhysiologicalBiotaChinaChromosomes, PlantCrop ProductionEdible GrainGene Expression Regulation, PlantGenome-Wide Association StudyPhenotypeSeasonsTriticumElite wheat cultivarsGWASPopulation structureSelective sweepYield

Identifiers

PMID33046012
PMCPMC7552505

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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.