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1 作物学报 ACTA AGRONOMICA SINICA 2016, 42(9): ISSN ; CODEN TSHPA9 DOI: /SP.J 大豆籽粒大小与形状性状的 QTL 定位陈 ** 强闫 ** 龙 * 邓莹莹肖二宁刘兵强杨春燕 * 张孟臣 / / /, :, 12 (ZDD03651) 188 F 6:8 F 6:9,, WinQTLCart 2.5 QTLNetwork 2.1 IciMapping QTL, QE %~79.57%,, QTL 38, QTL 2.21%~10.71%, 12 17, 12 2 QTL 24, 3 QTL 8, qsl-17-1 qsl-18-1 qsw-6-1 qst-2-1 qst-6-1 qslt-2-2 qswt-2-1 qswt QTL,, 0.78%~6.20% QE, %~0.3900%, : ; ; QTL; Mapping Quantitative Trait Loci for Seed Size and Shape Traits in Soybean CHEN Qiang **, YAN Long **, DENG Ying-Ying, XIAO Er-Ning, LIU Bing-Qiang, YANG Chun-Yan *, and ZHANG Meng-Chen * Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences / Shijiazhuang Branch of National Soybean Improvement Center / Huang-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Shijiazhuang , China Abstract: Seed size and shape not only relate to seed yield and quality, but also affect mechanical seeding in soybean (Glycine max L.). In this study, F 6:8 and F 6:9 populations derived from Jidou 12 Heidou were used to analyze the genetic character and detect quantitative trait loci (QTLs) for seed length, seed width, seed thickness, seed length-to-width ratio, seed length-to-thickness ratio, and seed width-to-thickness ratio. Softwares WinQTLCart 2.5, QTLNetwork 2.1 and IciMapping 4.1 were used to identify the additive, epistatic and environmentally interacted QTLs for seed size and shape related traits. As results, the heritability of the six traits varied from 64.01% to 79.57%. A total of 38 additive QTLs were identified to be located on 12 chromosomes, with the heritability varying from 2.21% to 10.71%. Eight of them (qsl-17-1, qsl-18-1, qsw-6-1, qst-2-1, qst-6-1, qslt-2-2, qswt-2-1, and qswt-20-1) were identified using three methods, simultaneously. In the meantime, seven pairs of additive additive epistasis were detected and the heritability of epistasis pairs ranged from 0.78% to 6.20%. Additionally, the effects of QTL by environment interaction ranged from % to %. The QTLs identified using different mapping softwares in this study could provide a reliable theoretical basis for marker-assisted selection breeding. ( ), (C ), (863 ) (2012AA101106), (CARS-004-PS06) (2014ZX B) This study was supported by the National Natural Science Foundation of China ( ), the Natural Science Foundation of Heibei Province (C ), the National High-tech Research and Development Program of China (2012AA101106), the China Agriculture Research System (CARS-004-PS06), and the National Major Project for Developing New GM Crops (2014ZX B). (Corresponding authors):, mengchenzhang@hotmail.com;, chyyang66@163.com ** (Contributed equally to this work) :, chenqiangwsm@163.com;, dragonyan1979@163.com Received(): ; Accepted(): ; Published online(): URL:

2 Keywords: Soybean; Seed shape; Quantitative trait locus; Epistasis,, [1],, [2] [3], 59%~79%, 19%~56% [4] QTL, QTL, [5-9], QTL, GS3 [5], GW2 [6], qsw5 [7] QTL [10-13] SoyBase ( QTL 18 QTL 16 QTL14, [14-15], Lasso, O Satt331 Satt592 QTL, Xie [16] C2 Satt640 Satt422 QTL, SNP, Hu [17] 12 QTL, 41 SNP 6, QTL QE [18-20] Niu [21] 257, 59 QTL 31 QTL [22] QTLNetwork QTL [23] Bayes QTL QTL QQ QTL [24] [25],, QTL, QE, QTL, WinQTLCart 2.5 [26] QTLNetwork 2.1 [27] IciMapping 4.1 [28-29] QTL, QTL QE, QTL, 1 材料与方法 F 6:8 F 6: g, (ZDD03651), 7 g F 6:8 (2011 ) F 6:9 (2013 ), 3 m, 3,, 50 cm, 10 cm , (seed length, SL) (seed width, SW) (seed thickness, ST), (seed lengthto-width, SLW) = /(seed length-tothickness, SLT) = /(seed width-tothickness, SWT) = / [21], 2, 1.3 SPSS 17.0 h 2 = σ 2 g/(σ 2 g σ 2 ge/e σ 2 e/re) 100%, σ 2 g, σ 2 ge, σ 2 e, e, re [30-31] 1.4 QTL [32] [33], WinQTLCart 2.5 [34] (CIM) QTL, 6,, 10 cm, 1000 QTL LOD (P<0.05) QTLNetwork 2.1 (MCIM) QTL [35-36], Permutation 1000,

3 9 : QTL 1311 F 1 cm QTL, P QTL IciMapping 4.1 MET ICIM-ADD ICIM-EPI, ICIM QTL, LOD 2.0, 2,, LOD 4.0, QTL [37] LOD 5 cm QTL McCouch [38] QTL 2 结果与分析 2.1 ( 1), 12, 12 6, 5.30%~ 8.71%, 64.01%~79.57%, (P<0.01); (P<0.01); (P<0.01); (P<0.01), (P<0.05), ( 1) ( 2),,,, 2011, 2013, ; 2011, 2013,,, 2011,, 2013,, 2.2 QTL QE WinQTLCart 2.5 QTLNetwork QTL LOD QTL, 12 ( 2), QTL 2.21%~10.71% 24 QTL 2, 8 QTL 3 ( 3) 表 1 亲本及群体籽粒大小与粒形性状在 2011 和 2013 年中的表现 Table 1 Characteristics of seed size and shape traits in RILs derived from the cross between Jidou 12 and Heidou in 2011 and 2013 Parent RIL Trait Year 12 Jidou12 Heidou Mean Max. Min. SD CV (%) SL (mm) ± ± ± ± SW (mm) ± ± ± ± ST (mm) ± ± ± ± SLW ± ± ± ± SLT ± ± ± ± SWT ± ± ± ± * 0.05 ; ** 0.01 P P-value of double factor variance analysis Genotype (G) Environment (E) G E ** ** ** ** ** ** ** ** ** ** ** * ** ** ** * Significant at the 0.05 probability level. ** Significant at the 0.01 probability level. SL: seed length; SW: seed width; ST: seed thickness; SLW: seed length-to-width ratio; SLT: seed length-to-thickness ratio; SWT: seed width-to-thickness ratio.

4 图 1 群体粒形相关性状频率分布图 Fig. 1 Frequency distribution of seed size traits of soybean populations in 2011 and 2013 A: ; B: ; C: ; D: ; E: ; F: A: frequency distribution of seed length; B: frequency distribution of seed width; C: frequency distribution of seed thickness; D: frequency distribution of seed length-to-width ratio; E: frequency distribution of seed length-to-thickness ratio; F: frequency distribution of seed width-to-thickness ratio. 表 2 两年中粒形性状间的简单相关和偏相关分析 Table 2 Simple and partial correlation coefficients for seed traits in soybean in two years Year Trait SL SW ST SLW SLT SWT 2011 SL ** ** ** * SW ** ** ** ** ST ** ** ** ** SLW ** ** ** ** ** SLT ** ** ** ** ** SWT ** ** ** ** 2013 SL ** ** ** ** SW ** ** ** ** ** ST ** ** ** ** SLW ** ** ** ** ** SLT ** ** ** ** ** SWT ** **, ; * 0.05 ; ** 0.01 In the panel of 2011 or 2013, the data at lower left corner are coefficients of correlation between traits, and those at upper right corner are coefficients of partial correlation between traits. * Significant at the 0.05 probability level. ** Significant at the 0.01 probability level. SL: seed length; SW: seed width; ST: seed thickness; SLW: seed length-to-width ratio; SLT: seed length-to-thickness ratio; SWT: seed width-to-thickness ratio.

5 9 : QTL QTL, 4.04%~8.76% qsl-17-1 qsl , 4.67% 8.72%, 0.10 mm 0.15 mm, 12, 0.10% 0.29% 3 QTL, qsw-6-1 3, 9.59%, 0.12 mm, 0.02%; qsw-17-1 qsw-2-1, 6.37% 7.44%, 0.12 mm 0.15 mm, 0.03% 0.04% 7 QTL, qst-6-1 qst-2-1 3, 6.80% 5.72%, 0.10 mm 0.09 mm, 0.20% 0.09%; qst-8-1 qst-12-1 qst-13-1 qst , 5.61% 8.01% 6.73% 6.25%, mm, 0.01%~0.27% 3 QTL, qslw-2-1, 8.67%, 0.07, 0.39% 9 QTL, qslt-2-2 3, 8.69%, 0.07, 0.15% qslt-8-1 qslt-13-1, 5.07% 8.23% 8 QTL, qswt-2-1 qswt , 7.87% 7.17%, 0.02, 0.29% 0.23%; qswt-6-1 qswt- 8-1 qswt-13-1 qswt-17-1, 7.05% 10.71% 8.51% 6.46% Fig. 2 图 2 检测到的主效 QTL 在连锁群中的分布 Distribution of main-effect QTLs for seed shape traits on linkage groups

7 9 : QTL 1315

8 QTL, ( 4) QTL QTL, 6.20%; QTL QTL, 4.58% 4.06%, 0.10 mm 0.02, ; 2 QTL, qslt-13-1 qslt-6-1 qslt-2-2, 1.41% 0.94%, 0.02 QTL qswt-20-1 qswt-8-1 qswt-13-3, 0.01, 3 讨论 3.1 QTL,, QTL [24-25] 3, QTL 38, 3 QTL 8, QTL qsl-17-1 qsl-18-1, QTL qsw-6-1, QTL qst-2-1 qst-6-1, QTL qslt-2-2, QTL qswt-2-1 qswt-20-1 Song [39], QTL, Satt570 Sat_290, Moongkanna [10] QTL Satt303 Sat_ 315 ; 17 QTL Satt301 Satt310, Yu [18] QTL Satt266 Sat_354 6 QTL Sat_062 Satt28, Yu [18] QTL Satt640 Satt422, Xie [16],, Salas [11] QTL 20 QTL Satt496 Satt049, Yu [18] QTL Satt419 Satt354 QTL qst-2-1 QTL qslw-2-2 QTL qswt QTL 14, 1 QTL 14 4 QTL qsl-4-1 Satt607 Satt361, Niu [21] AW ; 8 QTLqST-8-2 Satt424 Satt341 Niu [21] AW132402; 5 QTLqSLT-5-1 qswt-5-1 Sat_267 Satt200, Salas [11] QTL A975_1~K636_2 2 Satt266 satt611 2 Sat_069 Sat_ Satt422 Satt Satt144 Satt Satt669 Sat_292, 13 QTL, QTL 17, 13, QTL, QTL Mansur [40],,, [41],, 6 qhus-6 qhus6-1 qhus6-2, qhus6-2 qhus6-2a qhus6-2b, [14-15], O Satt331 Satt592 S21 S22 O23~O19/O19~O21 2 QTL Xie [16] 6 Satt640 Satt422, SNP [22] QTL,, 2 Sat_069 Sat_183 6 Sat_062 Satt281, 4 Satt607 Satt361, 13 Satt144 Satt656 4 QTL, () 12,

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