Mining QTLs and candidate genes for seed protein and oil contents across multiple environments and backgrounds in soybean

Li, Xihuan; Shao, Zhenqi; Tian, Rui; Zhang, Hua; Du, Hui; Kong, Youbin; Li, Wenlong; Zhang, Caiying

doi:10.1007/s11032-019-1055-7

Cited by 16 publications

(10 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is consistent with their role in protein accumulation in soybean seeds [78]. Li et al [79] also found a candidate gene in the flanking region of a protein QTL on chromosome 9, which was annotated as an amino acid transporter gene. In another study, the overexpression of one amino acid transporter gene in Vicia narbonensis and pea resulted in significant increases in seed protein concentration [80].…”

Section: Discussionsupporting

confidence: 65%

Genomic regions associated with important seed quality traits in food-grade soybeans

et al. 2020

View full text Add to dashboard Cite

Background The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. Results The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2 > 10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02–3, qPro_Gm04–4, qPro_Gm06–1, qPro_Gm06–3, qPro_Gm06–6, qPro_Gm13–4 and qPro-Gm15–3. Conclusion The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

show abstract

Section: Discussionsupporting

confidence: 65%

Genomic regions associated with important seed quality traits in food-grade soybeans

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This is consistent with their role in protein accumulation in soybean seeds [68]. Li et al [69] also found a candidate gene in the anking region of a protein QTL on chromosome 9, which was annotated as an amino acid transporter gene. In another study, the overexpression of one amino acid transporter gene in Vicia narbonensis and pea resulted in signi cant increases in seed protein concentration [70].…”

Section: Discussionsupporting

confidence: 65%

Genomic Regions Associated with Important Seed Quality Traits in Food-grade Soybeans

Whiting

Torabi

Lukens

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations.Results: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2 >10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

show abstract

“…This is consistent with their role in protein accumulation in soybean seeds [67]. Li et al [68] also found a candidate gene in the flanking region of a protein QTL on chromosome 9, which was annotated as an amino acid transporter gene. In another study, the overexpression of one amino acid transporter gene in Vicianarbonensis and pearesulted in significant increasesin seed protein concentration [69].…”

Section: Discussionsupporting

confidence: 65%

Genomic Regions Associated With Important Seed Quality Traits in Food-grade Soybeans

Whiting

Torabi

Lukens

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with these traits, such as seed weight,seed protein and sucrose concentrations could accelerate the development of competitive high quality soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. Results:Two RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2>10%) associated with seed protein concentration were identified. Five of these protein-related QTLwere co-localized with QTL associated with seed sucrose concentration or seed weight. None of the protein-related QTL did not co-localize with seed yield QTL in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion:The use of RIL populations derived from high-protein parents created a unique opportunity to identify novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. Nine QTL associated with seed protein concentration were identified and validated in both high-protein RIL populations. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

show abstract

Mining QTLs and candidate genes for seed protein and oil contents across multiple environments and backgrounds in soybean

Cited by 16 publications

References 40 publications

Genomic regions associated with important seed quality traits in food-grade soybeans

Genomic regions associated with important seed quality traits in food-grade soybeans

Genomic Regions Associated with Important Seed Quality Traits in Food-grade Soybeans

Genomic Regions Associated With Important Seed Quality Traits in Food-grade Soybeans

Contact Info

Product

Resources

About