Quantitative trait locus analysis of unsaturated fatty acids in a recombinant inbred population of soybean

Wang, Xianzhi; Jiang, Guang‐Zhen; Green, Marci; Scott, L. Ridgway; Hyten, David L.; Cregan, Perry B.

doi:10.1007/s11032-013-9948-3

Cited by 27 publications

(24 citation statements)

References 44 publications

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“…The mapping population for QTL identification of seed yield, oil and protein contents consisted of 87 F 5 -derived RILs by single-seed decent (SSD) from the cross of SD02-4-59 × A02-381100, as described previously in QTL analysis of fatty acids (Wang et al 2012(Wang et al , 2014. The parent SD02-4-59 was a breeding line developed by South Dakota State University, and A02-381100 was a low-linolenic line developed by Iowa State University.…”

Section: Plant Materials and Trait Evaluationmentioning

confidence: 99%

“…All the 87 F 5 -derived RILs were planted at Aurora, SD in 2009 and 2010 (designated as E09AU and E10AU, respectively), Beresford, SD in 2009 (E09BF) and 2011 (E11BF), and Volga, SD in 2011 (E11VG). Due to lack or loss of seeds, the parents were not included in the phenotyping experiments (Wang et al 2012(Wang et al , 2014. In order to confirm the presence and effects of the QTLs identified in the mapping population, the validation population was evaluated for seed yield, oil and protein contents in three environments, i.e.…”

Section: Plant Materials and Trait Evaluationmentioning

confidence: 99%

“…The linkage map used for the mapping population in this study was the same as that was previously used in QTL analysis of unsaturated fatty acids (Wang et al 2014).A total of 1,428 single nucleotide polymorphism (SNP) and 1,077 SSR markers were screened for polymorphism in the mapping population. Of them, 516 SNP and 477 SSR markers exhibited polymorphism and, as well as three GmFAD3 genes, were used to genotype the population.…”

Section: Linkage Map and Qtl Analysismentioning

confidence: 99%

“…The markers for which data were missing in more than 10 lines and which exhibited significant segregation distortion (i.e. significant at P = 0.01) were excluded from the map construction (Wang et al 2014). Except those markers that could not be mapped to any linkage group, a total of 311 SNP and 399 SSR markers as well as the three GmFAD3 genes were finally mapped on a linkage map, which covered all 20 soybean chromosomes and spanned a total length of 2,099.9 cM with an average interval length of 3.2 cM (Wang et al 2014).…”

Section: Linkage Map and Qtl Analysismentioning

confidence: 99%

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Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean

et al. 2014

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Section: Plant Materials and Trait Evaluationmentioning

confidence: 99%

Section: Plant Materials and Trait Evaluationmentioning

confidence: 99%

Section: Linkage Map and Qtl Analysismentioning

confidence: 99%

Section: Linkage Map and Qtl Analysismentioning

confidence: 99%

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Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean

et al. 2014

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“…Quantitative trait locus (QTL) analysis and gene functional studies have been performed to unravel the genetics of FA composition in Arabidopsis (Arabidopsis thaliana; Sanyal and Randal Linder, 2012), soybean (Glycine max; Wang et al, 2014b), jatropha (Jatropha curcas; Liu et al, 2011), and B. napus (Peng et al, 2010;Yan et al, 2011). In Arabidopsis, almost all genes and transcription factors involved in lipid metabolism and storage oils have been identified (Beisson et al, 2003;Le et al, 2010;Peng and Weselake, 2011).…”

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confidence: 99%

A Systems Genetics Approach Identifies Gene Regulatory Networks Associated with Fatty Acid Composition in Brassica rapa Seed

et al. 2015

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Fatty acids in seeds affect seed germination and seedling vigor, and fatty acid composition determines the quality of seed oil. In this study, quantitative trait locus (QTL) mapping of fatty acid and transcript abundance was integrated with gene network analysis to unravel the genetic regulation of seed fatty acid composition in a Brassica rapa doubled haploid population from a cross between a yellow sarson oil type and a black-seeded pak choi. The distribution of major QTLs for fatty acids showed a relationship with the fatty acid types: linkage group A03 for monounsaturated fatty acids, A04 for saturated fatty acids, and A05 for polyunsaturated fatty acids. Using a genetical genomics approach, expression quantitative trait locus (eQTL) hotspots were found at major fatty acid QTLs on linkage groups A03, A04, A05, and A09. An eQTL-guided gene coexpression network of lipid metabolism-related genes showed major hubs at the genes BrPLA2-ALPHA, BrWD-40, a number of seed storage protein genes, and the transcription factor BrMD-2, suggesting essential roles for these genes in lipid metabolism. Three subnetworks were extracted for the economically important and most abundant fatty acids erucic, oleic, linoleic, and linolenic acids. Network analysis, combined with comparison of the genome positions of cis-or trans-eQTLs with fatty acid QTLs, allowed the identification of candidate genes for genetic regulation of these fatty acids. The generated insights in the genetic architecture of fatty acid composition and the underlying complex gene regulatory networks in B. rapa seeds are discussed.

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Comparison of seed fatty and amino acids in edamame dried using two oven‐drying methods and mature soybeans

Jiang

Katuuramu

2020

J Sci Food Agric

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BACKGROUND Edamame is a vegetable soybean (Glycine max) rich in protein with well‐balanced amino acid profiles, including all the essential amino acids. It is also relatively high in oil consisting of five fatty acids. In this study, fatty and amino acid contents in oven‐dried edamame and mature seeds in 54 genotypes were analyzed to help edamame breeding and relevant research. RESULTS Significant differences (P < 0.01) between dried edamame and mature soybeans were found for all traits, suggesting that the contents of seed fatty and amino acids varied with drying method and/or growth stage. The genotypic effects were significant for amino acids in all cases and mostly for fatty acids. Fatty acid content was more variable than amino acids in both edamame and mature soybeans. The broad‐sense heritability estimates of traits in mature soybeans (51.89–90.37%) were larger than those in edamame seeds (13.10–81.83%), and the estimates for amino acids were larger than those for fatty acids. Correlations between the two edamame drying methods or between the edamame and mature soybeans were significant for all fatty and amino acids with few exceptions, and the correlation coefficients for amino acids (0.36–0.89) were larger than those for fatty acids (0.29–0.81). CONCLUSIONS Selection for both fatty and amino acids in edamame seems less effective than that in mature soybeans, and the improvement of amino acids would be more achievable than fatty acid improvement. Indirect selection through mature soybeans may benefit the edamame improvement for most of the amino acids. © 2020 Society of Chemical Industry

show abstract

Quantitative trait locus analysis of unsaturated fatty acids in a recombinant inbred population of soybean

Cited by 27 publications

References 44 publications

Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean

Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean

A Systems Genetics Approach Identifies Gene Regulatory Networks Associated with Fatty Acid Composition in Brassica rapa Seed

Comparison of seed fatty and amino acids in edamame dried using two oven‐drying methods and mature soybeans

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