Analysis of Quantitative Trait Loci for Protein and Lipid Contents in Soybean Seeds Using Recombinant Inbred Lines

Abstract

Improvement of the quality and quantity of soybean seed constituents is one of the most important objectives in soybean breeding. Although the quality of seed constituents has been studied extensively, information on the quantity is still limited. In order to analyze the genetic basis of these traits, recombinant inbred lines (RILs) derived from a cross between Glycine max (L.) Merrill variety Misuzudaizu and variety Moshidou Gong 503 were planted in two environments and evaluated for seed protein and lipid contents. Protein and lipid contents were determined by NIR transmittance spectroscopy using an intact single seed. The broad sense heritability of the traits ranged from 0.73 to 0.79 in our RIL population. Single-factor analysis of variance, interval mapping and composite interval mapping were used to detect significant associations between the traits and genetic markers. A total of 17 QTLs, 10 for proteins and 7 for lipids, which were significant in at least one environment were identified. Each QTL explained the total phenotypic variation for protein and lipid contents in the range from 3.4 % to 29.7 % and 6.1 % to 10.1 %, respectively. Among all the detected QTLs, three for the protein content and three for the lipid content were detected in both environments. The negative correlation between protein and lipid contents was also confirmed. Epistatic interactions were detected in this study, as another source of genetic variation in our population. The results obtained in our study may serve as a base for analyzing the genetic control of protein and lipid contents and may eventually enable to change the seed constituents.

Identification of quantitative trait loci for resistance against soybean sudden death syndrome caused by Fusarium tucumaniae

“…Misuzudaizu is a Japanese cultivar and Moshidou Gong 503 is a Chinese half-wild line, and populations derived from this cross contain many highly polymorphic DNA markers and have been used to discover numerous QTL for diverse characteristics (Yamanaka et al, , 2001Tajuddin et al, 2003;Watanabe et al, 2004). As expected, progenies of this cross were useful for identifying QTL for resistance against F. tucumaniae.…”

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

“…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).…”

“…Vários marcadores de locos de caracteres quantitativos (QTL) foram relatados para teores de óleo e proteína em soja (Sebolt et al, 2000;Csanádi et al, 2001;Specht et al, 2001;Chung et al, 2003;Chapman et al, 2003;Tajuddin et al, 2003;Fasoula et al, 2004;Hyten et al, 2004;Zhang et al, 2004;Panthee et al, Pesq. agropec.…”

Selection of progenitors for increase in oil content in soybean

“…These microsatellite loci were selected based on QTL regions of the oil content trait in soybean. The respective QTLs for oil content in the regions of the molecular markers are described by Mansur et al (1996), Specht et al (2001), Csanádi et al (2001), Tajuddin et al (2003), Chung et al (2003), Fasoula et al (2004), Hyten et al (2004), Panthee et al (2005), Reinprecht et al (2006), Chen et al (2007 ), Li et al (2007), Shibata et al (2008), Rodrigues et al (2010), and Eskandari et al (2013), on the linkage groups A1, B2, C2, D1, D1a, D1b, D2, E , F, H, I, K, L, M, N, and O.…”