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      Quantitative trait loci analysis of soluble sugar contents in soybean

      1 , 2 , 3
      Plant Breeding
      Wiley

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          Abstract

          The soluble sugar content in soybean seeds, mainly sucrose, stachyose, raffinose and trace amounts of glucose and fructose, is important for the increasing global market demand for various soyfoods including tofu, soymilk, natto, bean sprouts and edamame due to their nutritional value and health benefits. The objective of this study was to conduct quantitative trait loci ( QTL) analysis and identify molecular markers for soluble sugar content in soybean seeds for marker‐assisted selection ( MAS) in soybean breeding. The content of the five previously mentioned sugars were measured and associated QTLs were mapped based on a F 2 population that was derived from a cross between V97‐3000 and V99‐5089. Eleven QTLs were detected for the five sugar contents: one for glucose, three each for fructose and sucrose, and two each for raffinose and stachyose. However, only one QTL for sucrose, one QTL for raffinose, and two QTLs for stachyose were identified with LOD > 3.0 and R 2 > 10% from this research. The QTL on chromosome 11 [linkage group ( LG) B1] was identified as associated with sucrose, raffinose and stachyose in the same region as previously reported for sucrose and stachyose. The SSR marker, Satt359, on the QTL B1 region had an significant association with sucrose ( LOD = 5.192; R 2 = 0.134), raffinose ( LOD = 3.95; R 2 = 0.104), and stachyose ( LOD = 13.572; R 2 = 0.314); therefore it can be used to assist breeding selection for sucrose, raffinose and stachyose contents simultaneously.

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          Most cited references16

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          QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations.

          QTLNetwork is a software package for mapping and visualizing the genetic architecture underlying complex traits for experimental populations derived from a cross between two inbred lines. It can simultaneously map quantitative trait loci (QTL) with individual effects, epistasis and QTL-environment interaction. Currently, it is able to handle data from F(2), backcross, recombinant inbred lines and double-haploid populations, as well as populations from specific mating designs (immortalized F(2) and BC(n)F(n) populations). The Windows version of QTLNetwork was developed with a graphical user interface. Alternatively, the command-line versions have the facility to be run in other prevalent operating systems, such as Linux, Unix and MacOS. http://ibi.zju.edu.cn/software/qtlnetwork.
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            Soybeans

            KeShun Liu (1997)
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              QGene 4.0, an extensible Java QTL-analysis platform.

              Of many statistical methods developed to date for quantitative trait locus (QTL) analysis, only a limited subset are available in public software allowing their exploration, comparison and practical application by researchers. We have developed QGene 4.0, a plug-in platform that allows execution and comparison of a variety of modern QTL-mapping methods and supports third-party addition of new ones. The software accommodates line-cross mating designs consisting of any arbitrary sequence of selfing, backcrossing, intercrossing and haploid-doubling steps that includes map, population, and trait simulators; and is scriptable. Software and documentation are available at http://coding.plantpath.ksu.edu/qgene. Source code is available on request.
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                Author and article information

                Journal
                Plant Breeding
                Plant Breeding
                Wiley
                0179-9541
                1439-0523
                August 2014
                June 05 2014
                August 2014
                : 133
                : 4
                : 493-498
                Affiliations
                [1 ] Jilin Academy of Agricultural Sciences Changchun 130033 China
                [2 ] Department of Crop, Soil and Environmental Sciences University of Arkansas Fayetteville AR 72701 USA
                [3 ] Department of Crop, Soil and Environmental Sciences Virginia Tech Blacksburg VA 24061 USA
                Article
                10.1111/pbr.12178
                fe805827-3dda-4128-9cbf-8bae96d3ef49
                © 2014

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