Evidence map›Paper›PMID 37103627›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

Genome-wide association analysis of resistance to frogeye leaf spot China race 7 in soybean based on high-throughput sequencing.

Chen Na, Huanran Miao, Haipeng Jiang, Jinglin Ma, Hongliang Liu, Suchen Lv, Jinghang Zhou, Yuming Yang, Yuhang Zhan, Weili Teng and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

13 authors at 1 institution in 3 countries.

Chen Na *Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Huanran Miao *Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Haipeng Jiang *Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Jinglin MaKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Hongliang LiuKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Suchen LvKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Jinghang ZhouKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Yuming YangKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Yuhang ZhanKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Weili TengKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
Yonguang LiKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China. Yongguangli@neau.edu.cn.
Xue ZhaoKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China. xuezhao@neau.edu.cn.
Yingpeng HanKey Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding, Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China. hyp234286@aliyun.com.ORCID http://orcid.org/0000-0002-9829-6588
Northeast Agricultural University · CN

Funding

Heilongjiang's Provincial projects JD22A015Heilongjiang's Provincial projects ZD2022C002National Ten Thousand Talent Program LBH-Q20004the Chinese National Natural Science Foundation 31971967the Chinese National Natural Science Foundation U22A20473the Key Laboratory of Soybean Biology of the Chinese Education Ministry, Soybean Research & Development Center (CARS), and the Key Laboratory of Northeastern Soybean Biology and Breeding/Genetics of the Chinese Agriculture Ministry and was financially supp 2021YFD1201604The national project CARS-04-PS06the Youth Leading Talent Project of the Ministry of Science and Technology in China 2015RA228
6 · The paper itself

Abstract

key messageFLS is a disease that causes severe yield reduction in soybean. In this study, four genes (Glyma.16G176800, Glyma.16G177300, Glyma.16G177400 and Glyma.16G182300) were tentatively confirmed to play an important role in the resistance of soybean to FLS race 7. Frogeye leaf spot (FLS) causes severe yield loss in soybean and has been found in several countries worldwide. Therefore, it is necessary to select and utilize FLS-resistant varieties for the management of FLS. In the present study, 335 representative soybean materials were assessed for partial resistance to FLS race 7. Quantitative trait nucleotide (QTN) and FLS race 7 candidate genes were identified using genome-wide association analysis (GWAS) based on a site-specific amplified fragment sequencing (SLAF-seq) approach. A total of 23,156 single-nucleotide polymorphisms (SNPs) were used to evaluate the level of linkage disequilibrium with a minor allele frequency ≥ 5 and deletion data < 3%. These SNPs covered about 947.01 MBP, nearly 86.09% of the entire soybean genome. In addition, a compressed mixed linear model was utilized to identify association signals for partial resistance to FLS race 7. A total of 15 QTNs associated with resistance were found to be novel for FLS race 7 resistance. A total of 217 candidate genes located in the 200-kb genomic region of these peak SNPs were identified. Based on gene association analysis, qRT-PCR, haplotype analysis and virus-induced gene silencing (VIGS) systems were used to further verify candidate genes Glyma.16G176800, Glyma.16G177300, Glyma.16G177400 and Glyma.16G182300. This indicates that these four candidate genes may participate in FLS race 7 resistance responses.

Indexed as

Genes, PlantQuantitative Trait LociGenome-Wide Association StudyGlycine maxHigh-Throughput Nucleotide SequencingPolymorphism, Single Nucleotide

Identifiers

PMID37103627
OpenAlexW4367174931

What OpenQuestion holds

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Registered trials

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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.