Evidence map›Paper›PMID 37310498›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

Gene-allele system of shade tolerance in southern China soybean germplasm revealed by genome-wide association study using gene-allele sequence as markers.

Yanzhu Su, Zhipeng Zhang, Jianbo He, Weiying Zeng, Zhaoyan Cai, Zhenguang Lai, Yongpeng Pan, Xiaoshuai Hao, Guangnan Xing, Wubin Wang and 4 more

Abstract readReview
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In one paragraph

Review 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cold tolerance SNPs and candidate gene mining in the soybean germination stage based on genome-wide association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  5. Article
  6. Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  7. Article
  8. Article
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

14 authors.

Yanzhu Su *Soybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Zhipeng Zhang *Soybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Jianbo HeSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Weiying ZengInstitute of Economic Crops, Guangxi Academy of Agricultural Sciences, Nanning, 5300007, Guangxi, China.
Zhaoyan CaiInstitute of Economic Crops, Guangxi Academy of Agricultural Sciences, Nanning, 5300007, Guangxi, China.
Zhenguang LaiInstitute of Economic Crops, Guangxi Academy of Agricultural Sciences, Nanning, 5300007, Guangxi, China.
Yongpeng PanSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Xiaoshuai HaoSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Guangnan XingSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Wubin WangSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Jiaoping ZhangSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Yan LiSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Zudong SunInstitute of Economic Crops, Guangxi Academy of Agricultural Sciences, Nanning, 5300007, Guangxi, China. sunzudong639@163.com.
Junyi GaiSoybean Research Institute and MARA National Center for Soybean Improvement and MARA Key Laboratory of Biology and Genetic Improvement of Soybean and State Key Laboratory for Crop Genetics and Germplasm Enhancement and State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding and Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China. sri@njau.edu.cn.ORCID http://orcid.org/0000-0001-6222-2010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageFifty-three shade tolerance genes with 281 alleles in the SCSGP were identified directly using gene-allele sequence as markers in RTM GWAS, from which optimized crosses, evolutionary motivators, and gene-allele networks were explored. Shade tolerance is a key for optimal cultivation of soybean inter/relay-cropped with corn. To explore the shade tolerance gene-allele system in the southern China soybean germplasm, we proposed using gene-allele sequence markers (GASMs) in a restricted two-stage multi-locus model genome-wide association study (GASM-RTM-GWAS). A representative sample with 394 accessions was tested for their shade tolerance index (STI), in Nanning, China. Through whole-genome re-sequencing, 47,586 GASMs were assembled. From GASM-RTM-GWAS, 53 main-effect STI genes with 281 alleles (2-13 alleles/gene) (totally 63 genes with 308 alleles, including 38 G × E genes with 191 alleles) were identified and then organized into a gene-allele matrix composed of eight submatrices corresponding to geo-seasonal subpopulations. The population featured mild STI changes (1.69 → 1.56-1.82) and mild gene-allele changes (92.5% alleles inherited, 0% alleles excluded, 7.5% alleles emerged) from the primitive (SA

Indexed as

Genome-Wide Association StudyGlycine maxAllelesChinaPlant Breeding

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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.