2016
DOI: 10.1038/nbt0416-441c
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Erratum: Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean

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Cited by 375 publications
(4 citation statements)
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“…Notably, we also found that the θπ values of cultivated jute were lower than those of improved soybean (1.05 × 10 −3 ), the cultivated rice subspecies Indica ( Oryza sativa subsp. Indica; 1.6 × 10 −3 ), and improved sorghum (2.33 × 10 −3 ; Huang et al., 2012; Mace et al., 2013; Zhou et al., 2016). However, the F ST value between the cultivated lines and landraces was slightly higher for C. olitorius than for upland cotton (0.04; Fang et al., 2017; Ma et al., 2018) and pigeon pea (0.07; Varshney et al., 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Notably, we also found that the θπ values of cultivated jute were lower than those of improved soybean (1.05 × 10 −3 ), the cultivated rice subspecies Indica ( Oryza sativa subsp. Indica; 1.6 × 10 −3 ), and improved sorghum (2.33 × 10 −3 ; Huang et al., 2012; Mace et al., 2013; Zhou et al., 2016). However, the F ST value between the cultivated lines and landraces was slightly higher for C. olitorius than for upland cotton (0.04; Fang et al., 2017; Ma et al., 2018) and pigeon pea (0.07; Varshney et al., 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Identification of these genes is important for crop production. In the past few years, genome-wide association studies (GWAS) have been widely used in rice ( Huang et al, 2012 ), soybean ( Zhou et al, 2015 ), maize ( Tian et al, 2011 ), and melon ( Pereira et al, 2018 ) for the identification of important trait-controlled genes. It has also been used to identify flowering-related genes in Arabidopsis ( Aranzana et al, 2005 ), rice ( Liu et al, 2021 ), maize ( Maldonado et al, 2019 ), chrysanthemum ( Chong et al, 2019 ), and soybean ( Kim et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…The GWAS is powerful for identifying candidate genes corresponding to natural variation of traits in field crops as well as in horticultural plants ( Su et al, 2019 ; Alseekh et al, 2021 ; Berhe et al, 2021 ). A larger population size has been used for association analysis in field crops, such as rice ( Huang et al, 2012 ), soybean ( Zhou et al, 2015 ), and maize ( Maldonado et al, 2019 ). GWAS has also been identified in trait-related candidate genes or SNPs in horticultural plants using populations less than 100, such as rose ( Schulz et al, 2016 ), chestnut ( Kang et al, 2019 ), chrysanthemums ( Su et al, 2019 ), and bigleaf hydrangea ( Wu and Alexander, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Over the next 10 years, researchers continuously performed resequencing and GWAS (Genome-Wide Association Studies) on wild and cultivated soybeans. The excavation of these genomic resources provides extremely important resources and platforms for soybean research, which will vigorously promote soybean molecular design and breeding, and help achieve the “green revolution” of soybeans [ 38 , 39 , 40 , 41 , 42 , 43 ].…”
Section: Introductionmentioning
confidence: 99%