| BMC Plant Biology | |
| Intricate environment-modulated genetic networks control isoflavone accumulation in soybean seeds | |
| Research Article | |
| Mark Ellersieck1  Jeong-Dong Lee2  David A Sleper3  Henry T Nguyen3  Xiaolei Wu3  Grover Shannon3  Juan J Gutierrez-Gonzalez4  Oliver Yu5  Rui Zhong5  Jason D Gillman6  | |
| [1] Department of Statistics, University of Missouri, 146 Middlebush Hall, 65211, Columbia, MO, USA;Division of Plant Biosciences, Kyungpook National University, 702-701, Daegu, Republic of Korea;Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, 65211, Columbia, MO, USA;Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, 65211, Columbia, MO, USA;USDA-ARS Plant Science Research Unit and University of Minnesota, 55108, St Paul, Minnesota, USA;Donald Danforth Plant Science Center, 975 North Warson Road, 63132, Saint Louis, MO, USA;USDA-ARS, 108 Waters Hall, University of Missouri, 65211, Columbia, MO, USA; | |
| 关键词: Genistein; Isoflavone; Daidzein; Phenylalanine Ammonia Lyase; Epistatic Interaction; | |
| DOI : 10.1186/1471-2229-10-105 | |
| received in 2009-08-28, accepted in 2010-06-11, 发布年份 2010 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundSoybean (Glycine max [L] Merr.) seed isoflavones have long been considered a desirable trait to target in selection programs for their contribution to human health and plant defense systems. However, attempts to modify seed isoflavone contents have not always produced the expected results because their genetic basis is polygenic and complex. Undoubtedly, the extreme variability that seed isoflavones display over environments has obscured our understanding of the genetics involved.ResultsIn this study, a mapping population of RILs with three replicates was analyzed in four different environments (two locations over two years). We found a total of thirty-five main-effect genomic regions and many epistatic interactions controlling genistein, daidzein, glycitein and total isoflavone accumulation in seeds. The use of distinct environments permitted detection of a great number of environment-modulated and minor-effect QTL. Our findings suggest that isoflavone seed concentration is controlled by a complex network of multiple minor-effect loci interconnected by a dense epistatic map of interactions. The magnitude and significance of the effects of many of the nodes and connections in the network varied depending on the environmental conditions. In an attempt to unravel the genetic architecture underlying the traits studied, we searched on a genome-wide scale for genomic regions homologous to the most important identified isoflavone biosynthetic genes. We identified putative candidate genes for several of the main-effect and epistatic QTL and for QTL reported by other groups.ConclusionsTo better understand the underlying genetics of isoflavone accumulation, we performed a large scale analysis to identify genomic regions associated with isoflavone concentrations. We not only identified a number of such regions, but also found that they can interact with one another and with the environment to form a complex adaptable network controlling seed isoflavone levels. We also found putative candidate genes in several regions and overall we advanced the knowledge of the genetics underlying isoflavone synthesis.
【 授权许可】
Unknown
© Gutierrez-Gonzalez et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311098738558ZK.pdf | 4320KB |
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