QTL Analysis of Major Agronomic Traits in Soybean

Chen, Qingshan; Zhang, Zhongchen; Liu, Chunyan; Xin, Dawei; Qiu, Hongmei; Shan, Dapeng; Shan, Cai-Yun; Hu, Guohua

doi:10.1016/s1671-2927(07)60062-5

Cited by 94 publications

(82 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Mansur et al (1993) detected an association between markers on chromosome 9 and total seed oil whose QTL intervals overlapped with q.9oi . There are several QTL published for total seed oil on chromosome 14 within 10 cM of q.14oi on the soybean consensus map (Chen et al 2007; Csanadi et al 2001; Eskandari et al 2012; Liang et al 2010; Qi et al 2011). …”

Section: Resultsmentioning

confidence: 99%

Genotyping-by-Sequencing-Based Investigation of the Genetic Architecture Responsible for a ∼Sevenfold Increase in Soybean Seed Stearic Acid

Heim

Gillman

2017

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

Soybean oil is highly unsaturated but oxidatively unstable, rendering it nonideal for food applications. Until recently, the majority of soybean oil underwent partial chemical hydrogenation, which produces trans fats as an unavoidable consequence. Dietary intake of trans fats and most saturated fats are conclusively linked to negative impacts on cholesterol levels and cardiovascular health. Two major soybean oil breeding targets are: (1) to reduce or eliminate the need for chemical hydrogenation, and (2) to replace the functional properties of partially hydrogenated soybean oil. One potential solution is the elevation of seed stearic acid, a saturated fat which has no negative impacts on cardiovascular health, from 3 to 4% in typical cultivars to > 20% of the seed oil. We performed QTL analysis of a population developed by crossing two mutant lines, one with a missense mutation affecting a stearoyl-acyl-carrier protein desaturase gene resulting in ∼11% seed stearic acid crossed to another mutant, A6, which has 24–28% seed stearic acid. Genotyping-by-sequencing (GBS)-based QTL mapping identified 21 minor and major effect QTL for six seed oil related traits and plant height. The inheritance of a large genomic deletion affecting chromosome 14 is the basis for largest effect QTL, resulting in ∼18% seed stearic acid. This deletion contains SACPD-C and another gene(s); loss of both genes boosts seed stearic acid levels to ≥ 18%. Unfortunately, this genomic deletion has been shown in previous studies to be inextricably correlated with reduced seed yield. Our results will help inform and guide ongoing breeding efforts to improve soybean oil oxidative stability.

show abstract

Section: Resultsmentioning

confidence: 99%

Genotyping-by-Sequencing-Based Investigation of the Genetic Architecture Responsible for a ∼Sevenfold Increase in Soybean Seed Stearic Acid

Heim

Gillman

2017

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

show abstract

“…3 were mapped near with Satt521 and Sat_208. Several researchers have reported QTLs related to seed yield in these regions (Kabelka et al, 2004;Chen et al, 2007). Leopold et al (1959) demonstrated that the removal of reproductive organs delayed plant senescence, and many researchers reported similar results (Wittenbach, 1982;Crafts-Brandner et al, 1984).…”

Section: Effects Of Other Qtls On Dssmentioning

confidence: 94%

Stability Verification of the Effects of Stem Determination and Earliness of Flowering on Green Stem Disorder of Soybean against Genetic Background and Environment

Fujii

Kato

Sayama

et al. 2015

Plant Production Science

View full text Add to dashboard Cite

“…Rodrigues et al (2010). Os utilizados para seleção quanto à proteína foram relatados por Orf et al (1999), Sebolt et al (2000), Csanádi et al (2001), Specht et al (2001), Chapman et al (2003), Chung et al (2003), Tajuddin et al (2003), Hyten et al (2004), Reinprecht et al (2006), Chen et al (2007) e Soares et al (2008).…”

Section: Methodsunclassified

Associação de marcadores microssatélites com teores de óleo e proteína em soja

Rodrigues

Arruda

Cruz

et al. 2013

Pesq. agropec. bras.

View full text Add to dashboard Cite

Resumo -O objetivo deste trabalho foi avaliar a associação de marcadores microssatélites localizados próximos a locos de caracteres quantitativos (QTL) descritos na literatura, com os teores de óleo e proteína de genótipos de soja cultivados no Brasil. Quarenta e nove genótipos de soja foram avaliados em Viçosa, MG (12/2009); Visconde do Rio Branco, MG (2/2010); e São Gotardo, MG (2/2010 e 10/2011). Utilizou-se o delineamento de blocos ao acaso, com três repetições. Os teores de óleo e proteína foram determinados por espectrometria do infravermelho. Foi observada ampla variabilidade genética para esses teores. Dos 65 marcadores microssatélites testados, 35 apresentaram associação significativa com pelo menos um dos teores, mas poucos foram consistentes com a mudança de ambiente. Ao se levar em conta a consistência da associação em todos os ambientes, os marcadores Satt239, Satt384 e Satt562 destacam-se para a seleção assistida quanto aos teores de óleo e de proteína, enquanto o Satt310 destaca-se para seleção quanto ao teor de óleo, e o Satt567, quanto ao de proteína.Termos para indexação: Glycine max, melhoramento, QTL, seleção assistida. Association of microsatellite markers with contents of oil and protein in soybeanAbstract -The objective of this work was to evaluate the association of microsatellite markers located close to quantitative trait loci (QTL) described in the literature, with contents of oil and protein soybean genotypes cultivated in Brazil. Forty-nine soybean genotypes were evaluated in Viçosa, MG (12/2009), Visconde do Rio Branco, MG (2/2010), and São Gotardo, MG (2/2010 and 10/2011). A randomized complete block design, with three replicates, was used. The oil and protein contents were determined by infrared spectroscopy. A high genetic variability was observed for oil and protein contents. Among the 65 tested microsatellite markers, 35 showed significant association with at least one of these contents, but few of them were consistent with the change of environment. Considering the consistency of the association in all environments, the markers Satt239, Satt384, and Satt562 stand out for assisted selection as to oil and protein contents, whereas Satt310 stands out for the selection as to oil content, and Satt567, as to protein content.Index terms: Glycine max, breeding, QTL, assisted selection. IntroduçãoPor se tratarem de caracteres quantitativos, os teores de óleo e proteína têm controle genético complexo. Além disso, há relatos da existência de interações genótipo x ambiente para estas características (Marquez, 2010). Assim, a variedade de locos envolvidos na expressão fenotípica e a influência ambiental sobre os caracteres são fatores que dificultam o melhoramento.Em soja, há correlação negativa entre os teores de óleo e proteína e, frequentemente, entre o teor de proteína e a produtividade. Por sua vez, a relação entre o teor de óleo e a produtividade é positiva, o que torna possível manter a produtividade quando se pratica a seleção para alto teor de óleo. No entanto, o aumento no potenc...

show abstract

QTL Analysis of Major Agronomic Traits in Soybean

Cited by 94 publications

References 22 publications

Genotyping-by-Sequencing-Based Investigation of the Genetic Architecture Responsible for a ∼Sevenfold Increase in Soybean Seed Stearic Acid

Genotyping-by-Sequencing-Based Investigation of the Genetic Architecture Responsible for a ∼Sevenfold Increase in Soybean Seed Stearic Acid

Stability Verification of the Effects of Stem Determination and Earliness of Flowering on Green Stem Disorder of Soybean against Genetic Background and Environment

Associação de marcadores microssatélites com teores de óleo e proteína em soja

Contact Info

Product

Resources

About