Abstract
Soybean (Glycine max (L.) Merr.) isoflavone is important for human health and plant defense system. To identify novel quantitative trait loci (QTL) and epistatic QTL underlying isoflavone content in soybean, F5:6, F5:7 and F5:8 populations of 130 recombinant inbred (RI) lines, derived from the cross of soybean cultivar ‘Zhong Dou 27′ (high isoflavone) and ‘Jiu Nong 20′ (low isoflavone), were analyzed with 95 new SSR markers. A new linkage map including 194 SSR markers and covering 2,312 cM with mean distance of about 12 cM between markers was constructed. Thirty four QTL for both individual and total seed isoflavone contents of soybean were identified. Six, seven, ten and eleven QTL were associated with daidzein (DZ), glycitein (GC), genistein (GT) and total isoflavone (TI), respectively. Of them 23 QTL were newly identified. The qTIF_1 between Satt423 and Satt569 shared the same marker Satt569 with qDZF_2, qGTF_1 and qTIF_2. The qGTD2_1 between Satt186 and Satt226 was detected in four environments and explained 3.41%-10.98% of the phenotypic variation. The qGTA2_1, overlapped with qGCA2_1 and detected in four environments, was close to the previously identified major QTL for GT, which were responsible for large a effects. QTL (qDZF_2, qGTF_1 and qTIF_2) between Satt144-Satt569 were either clustered or pleiotropic. The qGCM_1, qGTM_1 and qTIM_1 between Satt540-Sat_244 explained 2.02%–9.12% of the phenotypic variation over six environments. Moreover, the qGCE_1 overlapped with qGTE_1 and qTIE_1, the qTIH_2 overlapped with qGTH_1, qGCI_1 overlapped with qDZI_1, qTIL_1 overlapped with qGTL_1, and qTIO_1 overlapped with qGTO_1. In this study, some of unstable QTL were detected in different environments, which were due to weak expression of QTL, QTL by environment interaction in the opposite direction to a effects, and/or epistasis. The markers identified in multi-environments in this study could be applied in the selection of soybean cultivars for higher isoflavone content and in the map-based gene cloning.
Highlights
Soy food is considered as the functional food because it contains health beneficial molecules such as isoflavone [1,2]
They explained 1.87%–17.03% of the phenotypic variation in seven environments over three years. Another three quantitative trait loci (QTL) associated with GC, GT and total isoflavone (TI) were located on GM07 (LG M) between Satt540-Sat_244
marker-assisted selection (MAS) based on genotype selection rather than solely on phenotype provided an outstanding perspective in soybean breeding [30]
Summary
Soy food is considered as the functional food because it contains health beneficial molecules such as isoflavone [1,2]. Human nutrition studies have shown that isoflavone plays an important role in preventing a number of chronic diseases [3,4,5]. Soybean isoflavone concentrations are heritable but behave as complex quantitative traits [14,15,16,17,18] regulated by multiple environmental and genetic factors [1, 19,20,21,22,23]. Selection for soybean cultivars with varied seed isoflavone contents required evaluation in multiple environments over several years, which is expensive, timeconsuming and labor intensive
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