Evidence map›Paper›PMID 32650485›Full record

ArticleInternational journal of molecular sciences2020

Comprehensive Identification of Drought Tolerance QTL-Allele and Candidate Gene Systems in Chinese Cultivated Soybean Population.

Wubin Wang, Bin Zhou, Jianbo He, Jinming Zhao, Cheng Liu, Xianlian Chen, Guangnan Xing, Shouyi Chen, Han Xing, Junyi Gai

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Identifying canopy wilting QTLs and evaluating remote sensing approaches for selecting drought-tolerant soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. A wild-allele GsPP2C-51-a1 enhances tolerance to drought stress in soybean and Arabidopsis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
  5. Article
  6. 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.

Wubin WangSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Bin ZhouSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Jianbo HeSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Jinming ZhaoSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Cheng LiuSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Xianlian ChenSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Guangnan XingSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Shouyi ChenInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Han XingSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.
Junyi GaiSoybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China.

Funding

Natural Science Foundation of Jiangsu Province BK20160713the China National Key R & D Program for Crop Breeding 2017YFD0101500the Fundamental Research Funds for the Central Universities the Fundamental Research Funds for the Central Universitiesthe Jiangsu JCIC-MCP the Jiangsu JCIC-MCPthe MARA CARS-04 program the MARA CARS-04 programthe MOE 111 Project B08025the MOE Program for Changjiang Scholars and Innovative Research Team in University PCSIRT_17R55the Natural Science Foundation of China 31601325, 31701447
6 · The paper itself

Abstract

Drought is one of the most important factors affecting plant growth and productivity. The previous results on drought tolerance (DT) genetic system in soybean indicated a complex of genes not only few ones were involved in the trait. This study is featured with a relatively thorough identification of QTL-allele/candidate-gene system using an efficient restricted two-stage multi-locus multi-allele genome-wide association study, on two comprehensive DT indicators, membership index values of relative plant weight (MPW) and height (MPH), instead of a single biological characteristic, in a large sample (564 accessions) of the Chinese cultivated soybean population (CCSP). Based on 24,694 multi-allele markers, 75 and 64 QTL with 261 and 207 alleles (2-12/locus) were detected for MPW and MPH, explaining 54.7% and 47.1% of phenotypic variance, respectively. The detected QTL-alleles were organized into a QTL-allele matrix for each indicator, indicating DT is a super-trait conferred by two (even more) QTL-allele systems of sub-traits. Each CCSP matrix was separated into landrace (LR) and released cultivar (RC) sub-matrices, which showed significant differentiation in QTL-allele constitutions, with 58 LR alleles excluded and 16 new ones emerged in RC. Using the matrices, optimal crosses with great DT transgressive recombinants were predicted. From the detected QTL, 177 candidate genes were annotated and validated with quantitative Real-time PCR, and grouped into nine categories, with ABA and stress responders as the major parts. The key point of the above results is the establishment of relatively full QTL-allele matrices composed of numerous gene functions jointly conferring DT, therefore, demonstrates the complexity of DT genetic system and potential of CCSP in DT breeding.

Indexed as

Adaptation, PhysiologicalAllelesBreedingDroughtsGenetic MarkersGenome-Wide Association StudyGlycine maxLinkage DisequilibriumQuantitative Trait LociStress, PhysiologicalGenetic Markersdrought tolerance (DT)membership index value of relative plant height (MPH)membership index value of relative plant weight (MPW)QTL-allele matrixquantitative real-time PCR (qRT-PCR)restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS)soybean (Glycine max (L.) Merr.)

Identifiers

PMID32650485
PMCPMC7402128

What OpenQuestion holds

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Registered trials

None linked

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.