Identification of QTL underlying mass filling rate at different developmental stages of soybean seed

Jiang, Zhenfeng; Ding, Junjie; Han, Yingpeng; Teng, Weili; Zhang, Zhongchen; Li, Wenbin

doi:10.1007/s10681-012-0794-x

Cited by 8 publications

(3 citation statements)

References 56 publications

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“…In this research, 66 QTL associated with PH were detected only by conditional variable methods. Some QTL controlling PH, seed size, and linolenoyl acid content during soybean development were found using this method [8,20,40]. Secondly, conditional analysis could correct the estimation of additive effects and confirm the authenticity of identified QTL.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, in to gain a comprehensive understanding of the genetic basis of a trait such as PH, it is necessary to understand the dynamics of gene expression for the trait at different developmental stages [19]. Indeed, QTL mapping based on the final stage of development may not encompass the numerous QTL controlling PH during the earlier developmental stages and may not show genetic effects within a specific stage of plant development [20].…”

Section: Introductionmentioning

confidence: 99%

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Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

et al. 2019

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Plant height (PH) is an important trait in soybean, as taller plants may have higher yields but may also be at risk for lodging. Many genes act jointly to influence PH throughout development. To map the quantitative trait loci (QTL) controlling PH, we used the unconditional variable method (UVM) and conditional variable method (CVM) to analyze PH data for a four-way recombinant inbred line (FW-RIL) population derived from the cross of (Kenfeng14 × Kenfeng15) × (Heinong48 × Kenfeng19). We identified 7, 8, 16, 19, 15, 27, 17, 27, 22, and 24 QTL associated with PH at 10 developmental stages, respectively. These QTL mapped to 95 genomic regions. Among these QTL, 9 were detected using UVM and CVM, and 89 and 66 were only detected by UVM or CVM, respectively. In total, 36 QTL controlling PH were detected at multiple developmental stages and these made unequal contributions to genetic variation throughout development. Among 19 novel regions discovered in our study, 7 could explain over 10% of the phenotypic variation and contained only one single QTL. The unconditional and conditional QTL detected here could be used in molecular design breeding across the whole developmental procedure.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

et al. 2019

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“…Polymerase chain reaction (PCR) for SSR was performed in a 25-μl reaction mixture following the procedure of Jiang et al, 2013. Denatured DNA was separated on an 8% (w/v) polyacrylamide gel.…”

Section: Polymerase Chain Reaction Amplificationmentioning

confidence: 99%

Fine mapping of sterile genes in soybean (Glycine max [L.] Merril.) based on cross populations between multi‐elite parent and sterile lines ms1 and ms6

Jiang,

Song,

et al. 2024

Plant Breeding

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The male sterile line of soybean is crucial for hybrid seed production, and has allowed significant advancements in soybean germplasm innovation and yield increase in China. In this study, we created two bulks of sterile plants and collected a natural population consisting of 100 elite soybean germplasms. There were significant phenotypic differences between the sterile and natural populations resulting from flowers and pods. The sterile plants exhibited fleshy spherical pods and large black‐green leaves in the maturity stage, while the leaves of the fertile plants fell off. After I2‐KI staining, the pollen of the sterile line turned light brown and yellow, while the pollen of the fertile line turned black. On the basis of the SNP sequencing results, the sterility genes were located on eight chromosomes. Additionally, they were fine‐mapped to 13 regions on six chromosomes using 72 pairs of SSR markers. Five genes involved in auxin response and pollen development were predicted as candidate genes underlying soybean sterility. These candidate genes for soybean sterility will help with gene cloning and functional analysis and accelerate the widespread use of hybrid seed production and yield increase in soybean grown in cool regions.

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Mapping dynamic QTL of stalk sugar content at different growth stages in maize

Bian

Sun

et al. 2015

Euphytica

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Identification of QTL underlying mass filling rate at different developmental stages of soybean seed

Cited by 8 publications

References 56 publications

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

Mapping developmental QTL for plant height in soybean [Glycine max (L.) Merr.] using a four-way recombinant inbred line population

Fine mapping of sterile genes in soybean (Glycine max [L.] Merril.) based on cross populations between multi‐elite parent and sterile lines ms1 and ms6

Mapping dynamic QTL of stalk sugar content at different growth stages in maize

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