Evidence map›Paper›PMID 32604988›Full record

ArticleGenes2020

Identification of QTNs and Their Candidate Genes for 100-Seed Weight in Soybean (Glycine max L.) Using Multi-Locus Genome-Wide Association Studies.

Muhammad Ikram, Xu Han, Jian-Fang Zuo, Jian Song, Chun-Yu Han, Ya-Wen Zhang, Yuan-Ming Zhang

Abstract read
In one paragraph

Article in Genes, 2020. 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
–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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  12. Linkage and association mapping of ovule number per ovary (ON) in oilseed rape (Molecular breeding : new strategies in plant improvement · 2023
    Article
  13. Article
  14. Genome-wide identification and development of InDel markers in tobacco (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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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

7 authors.

Muhammad IkramCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Xu HanCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Jian-Fang ZuoCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Jian SongCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, China.
Chun-Yu HanCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Ya-Wen ZhangCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yuan-Ming ZhangCrop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

100-seed weight (100-SW) in soybeans is a yield component trait and controlled by multiple genes with different effects, but limited information is available for its quantitative trait nucleotides (QTNs) and candidate genes. To better understand the genetic architecture underlying the trait and improve the precision of marker-assisted selection, a total of 43,834 single nucleotide polymorphisms (SNPs) in 250 soybean accessions were used to identify significant QTNs for 100-SW in four environments and their BLUP values using six multi-locus and one single-locus genome-wide association study methods. As a result, a total of 218 significant QTNs were detected using multi-locus methods, whereas eight QTNs were identified by a single-locus method. Among 43 QTNs or QTN clusters identified repeatedly across various environments and/or approaches, all of them exhibited significant trait differences between their corresponding alleles, 33 were found in the genomic region of previously reported QTLs, 10 were identified as new QTNs, and three (qHSW-4-1, qcHSW-7-3, and qcHSW-10-4) were detected in all the four environments. The number of seed weight (SW) increasing alleles for each accession ranged from 8 (18.6%) to 36 (83.72%), and three accessions (Yixingwuhuangdou, Nannong 95C-5, and Yafanzaodou) had more than 35 SW increasing alleles. Among 36 homologous seed-weight genes in Arabidopsis underlying the above 43 stable QTNs, more importantly, Glyma05g34120, GmCRY1, and GmCPK11 had known seed-size/weight-related genes in soybean, and Glyma07g07850, Glyma10g03440, and Glyma10g36070 were candidate genes identified in this study. These results provide useful information for genetic foundation, marker-assisted selection, genomic prediction, and functional genomics of 100-SW.

Indexed as

Polymorphism, Single NucleotideGenes, PlantGenome-Wide Association StudyGlycine maxPlant BreedingQuantitative Trait, HeritableQuantitative Trait LociSeeds100-seed weightmarker assisted selectionmulti-locus genome-wide association studiesquantitative trait nucleotidesingle nucleotide polymorphismssoybean

Identifiers

PMID32604988
PMCPMC7397327

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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.