Analysis of QTLs for the micromorphology on the seed coat surface of soybean using recombinant inbred lines

Otobe, Kazunori; Watanabe, Satoshi; Harada, Kyuya

doi:10.1017/s0960258515000318

Cited by 8 publications

(7 citation statements)

References 25 publications

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“…In comparing our QTL results with QTLs for seed quality, we found that the qSV-C2.2 and qSV-C2.3 QTLs are new because they have not been associated with any other QTLs in previous reports. The qSG-A2 QTL was located close to QTLs for maturity (HAV4), seed viability (VIS4) (Watanabe et al 2004), and seed surface micromorphology (Otobe et al 2015). The mapped location of qSV-C2.1 was close to QTLs for germination rate (GRS1) and seed hardness (RAS1) (Watanabe et al 2004).…”

Section: Discussionmentioning

confidence: 89%

“…The mapped location of qSV-C2.1 was close to QTLs for germination rate (GRS1) and seed hardness (RAS1) (Watanabe et al 2004). The qSV-D1b.1 QTL was located close to QTLs for seed hardness (RAS2) (Watanabe et al 2004) and a seed surface trait (qSR3) (Otobe et al 2015). For QTL associated with seed storability, Daragahi et al ( 2004) used the total of 128 SSR makers constructed 38 linkage groups and identified three QTLs on three linkage groups (C1, F and L) associated with seed storability in soybean under ambient condition (28 ± 2°C) for 5 months and accelerated aging (42 ± 1°C)…”

Section: Discussionmentioning

confidence: 98%

“…There are multiple cell layers in the seed coats of dark seeds filled with phenolic compounds that function as antioxidants (Liu et al 2017) and may act to reduce metabolic activity. Moshidou Gong 503 is a brown accession with a high degree of seed storability due to increased seed hardness and a smooth seed surface (Otobe et al 2015). Smooth seed surfaces are derived from waxy materials that protect the seed from the environment and confer seed impermeability.…”

Section: Discussionmentioning

confidence: 99%

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QTL analysis for soybean (Glycine max L. Merr.) seed storability in high-temperature storage conditions

Jiamtae

Hashiguchi²,

Lelapiyamit³

et al. 2022

Euphytica

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Soybean (Glycine max L. Merr.) seeds are highly sensitive to the environmental conditions experienced in storage. The objectives of this study were to identify QTLs for soybean seed storability by evaluating seed viability and seed vigor and investigating candidate genes for these traits in detected QTL regions. These objectives will aid in developing soybean cultivars with a high capacity for storability. The seeds of 109 and 90 recombinant inbred lines (RILs) derived from a cross between Misuzudaizu and Moshidou Gong 503 in 2010 and 2019, respectively, were used to evaluate seed viability by a germination test and seed vigor by an accelerated aging test, after storage under two temperature conditions (25 °C and 35 °C) for six months. Seed viability and seed vigor of Moshidou Gong 503 were higher than those of Misuzudaizu in both temperature conditions. The average seed viability and seed vigor of RILs decreased when stored at the higher temperature. A total of five QTLs were found for the two traits, seed viability and seed vigor, located in chromosomes A2, C2, and D1b. The Misuzudaizu alleles decreased seed viability and seed vigor at all detected QTLs. Most QTLs in this study were found near loci controlling seed viability, maturity, germination, seed hardness, and seed surface micromorphology, indicating that seed storability is related to these traits. In addition, two new QTLs were found that are associated with seed storability.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

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QTL analysis for soybean (Glycine max L. Merr.) seed storability in high-temperature storage conditions

Jiamtae

Hashiguchi²,

Lelapiyamit³

et al. 2022

Euphytica

Self Cite

View full text Add to dashboard Cite

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“…The seed coat plays a protective role since cultivars with black or brown seed coats show better waterlogging tolerance than cultivars with a yellow seed coat (Hou and Thseng 1992;Rajendran et al 2019). Quantitative trait loci (QTL) mapping studies have shown a genetic link between seed coat pigments (Sayama et al 2009;Otobe et al 2015), surface roughness (Otobe et al 2015), and water impermeability. Yellow seed coat cultivars do not accumulate anthocyanins (anthocyanin glycosides) or proanthocyanidins (polymeric anthocyanins) (Todd and Vodkin 1993).…”

Section: Effects Of Waterlogging Stress During Germinationmentioning

confidence: 99%

Soybean (Glycine max L.) seed germination in response to waterlogging and cold climate: a review on the genetics and molecular mechanisms of resistance to the abiotic stress

et al. 2023

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Soybean (Glycine max L.) is the most important legume crop in the world, and provides protein and oil for human consumption and animal feed. Cold and waterlogging or flooding are abiotic stress that are commonly encountered during soybean germination in short-season growing conditions in the Northern latitudes. Imbibition of cold water during the germination disrupts the cell membranes and increases leakage of their contents and makes seeds vulnerable to biotic stress. The cold tolerance is associated with the ability of cells to avoid or repair the damage to their membranes and organelles, restoring membrane function, metabolism and managing the reactive oxygen species (ROS) generated during the process. Excess moisture impedes aerobic respiration by oxygen deprivation and increases the likelihood of soil-borne diseases further reducing the germination rate. Tolerance to waterlogging is associated with mechanisms that slow the rate of water uptake and help maintain efficient anaerobic metabolism. The QTL mapping, transcriptomics, and proteomic studies have revealed several genes and pathways that likely play a role in seed response to cold and waterlogging stress. This review discusses the effects of cold and waterlogging on soybean seed germination at the physiological level, the molecular mechanisms involved and provides an overview of soybean waterlogging and cold tolerance research. The methodologies commonly used to study the molecular mechanisms controlling tolerance to waterlogging and cold stress also are reviewed and discussed.

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“…There are several methods used for QTL mapping, including interval mapping (IM; Korol et al, 1995 ), composite IM (CIM; Utz and Melchinger, 1996 ), and multiple IM ( Kao et al, 1999 ). The QTL mapping methods have been used to examine the quantitative traits of many crops, including 100-kernel weight in maize ( Raihan et al, 2016 ), the carotenoids content in potato ( Campbell et al, 2014 ), the ratio of deep rooting in rice ( Horii et al, 2006 ; Lou et al, 2015 ), and the seed coat surface in soybean ( Otobe et al, 2015 ). The FPH is an important element of yield and has negative correlations with plant density and nitrogen rate in soybean breeding ( Mehmet, 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Major QTLs Associated With First Pod Height and Candidate Gene Mining in Soybean

Jiang

Qin

et al. 2018

Front. Plant Sci.

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First pod height (FPH) is a quantitative trait in soybean [Glycine max (L.) Merr.] that affects mechanized harvesting. A compatible combination of the FPH and the mechanized harvester is required to ensure that the soybean is efficiently harvested. In this study, 147 recombinant inbred lines, which were derived from a cross between ‘Dongnong594’ and ‘Charleston’ over 8 years, were used to identify the major quantitative trait loci (QTLs) associated with FPH. Using a composite interval mapping method with WinQTLCart (version 2.5), 11 major QTLs were identified. They were distributed on five soybean chromosomes, and 90 pairs of QTLs showed significant epistatic associates with FPH. Of these, 3 were main QTL × main QTL interactions, and 12 were main QTL × non-main QTL interactions. A KEGG gene annotation of the 11 major QTL intervals revealed 8 candidate genes related to plant growth, appearing in the pathways K14486 (auxin response factor 9), K14498 (serine/threonine-protein kinase), and K13946 (transmembrane amino acid transporter family protein), and 7 candidate genes had high expression levels in the soybean stems. These results will aid in building a foundation for the fine mapping of the QTLs related to FPH and marker-assisted selection for breeding in soybean.

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Analysis of QTLs for the micromorphology on the seed coat surface of soybean using recombinant inbred lines

Cited by 8 publications

References 25 publications

QTL analysis for soybean (Glycine max L. Merr.) seed storability in high-temperature storage conditions

QTL analysis for soybean (Glycine max L. Merr.) seed storability in high-temperature storage conditions

Soybean (Glycine max L.) seed germination in response to waterlogging and cold climate: a review on the genetics and molecular mechanisms of resistance to the abiotic stress

Identification of Major QTLs Associated With First Pod Height and Candidate Gene Mining in Soybean

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