ASP53, a 53 kDa cupin-containing protein with a dual role: storage protein and thermal protectant.

Mtwisha, Linda; Farrant, Jill M.; Brandt, Wolf F.; Hlongwane, C.; Lindsey, George G.; Adkins, S. W.; Ashmore, Sarah; Navie, S. C.

doi:10.1079/9781845931971.0057

Cited by 1 publication

(2 citation statements)

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“…Glyma.09G250400 was annotated as a putative adipose‐regulatory protein (Seipin), which was shown to participate in the WRI1 network and is involved in soybean lipid biosynthesis (Yu et al, ); it was also matched with MQTLOil‐1. Glyma.10G246300 was annotated as a cupin family protein, which may affect SSP as previously described (Mtwisha, Farrant, Brandt, Hlongwane, & Lindsey, ).…”

Section: Resultsmentioning

confidence: 99%

“…However, there have been no reports about the involvement of Glyma.09G250400 and Glyma.10G246300 in the classical regulation network. Because Glyma.09G250400 was annotated as participating in the WRI1 network (Cernac & Benning, ) and Glyma.10G246300 affects SSP (Mtwisha et al, ), these two genes may also participate in seed oil and protein accumulation. These hub genes identified in one coexpression network are involved in a new LEAF network, indicating that the network is highly correlated with seed storage composition.…”

Section: Discussionmentioning

confidence: 99%

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Meta-analysis and transcriptome profiling reveal hub genes for soybean seed storage composition during seed development

Zhang

Wang

et al. 2018

Plant Cell Environ

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Soybean is an important crop providing edible oil and protein source. Soybean oil and protein contents are quantitatively inherited and significantly affected by environmental factors. In this study, meta-analysis was conducted based on soybean physical maps to integrate quantitative trait loci (QTLs) from multiple experiments in different environments. Meta-QTLs for seed oil, fatty acid composition, and protein were identified. Of them, 11 meta-QTLs were located on hot regions for both seed oil and protein. Next, we selected 4 chromosome segment substitution lines with different seed oil and protein contents to characterize their 3 years of phenotype selection in the field. Using strand-specific RNA-sequencing analysis, we profile the time-course transcriptome patterns of soybean seeds at early maturity, middle maturity, and dry seed stages. Pairwise comparison and K-means clustering analysis revealed 7,482 differentially expressed genes and 45 expression patterns clusters. Weighted gene coexpression network analysis uncovered 46 modules of gene expression patterns. The 2 most significant coexpression networks were visualized, and 7 hub genes were identified that were involved in soybean oil and seed storage protein accumulation processes. Our results provided a transcriptome dataset for soybean seed development, and the candidate hub genes represent a foundation for further research.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%