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. 2022 Sep 21;28(8):1587–1605. doi: 10.1007/s12298-022-01232-1

Table 1.

Information of identified Meta-QTL (MQTL) from Meta-analysis of QTLs for seed germination traits in rice

Meta-QTL Chr AIC QTL Model Markers interval (QTL region) Closest SSR marker Meta-QTL peak position (cM) Meta-QTL physical distance (bp) No. of original QTLs Mean Initial CI (cM) Mean Phenotypic Variance of the QTL (%) Meta-QTL CI (95%) cM No. of gene
MQTL1.1 1 110.93 4 G8027˽115,511 RM3148 5.59 16,078,082–2,800,122 1 14.9 11.17 13.05 41
MQTL1.2 S1_7778029˽S1_8924173 RM1287 58.56 10,307,015–12,264,117 2 15.95 36.7 10.55 20
MQTL1.3 S1_25275937˽S1_25593034 RM7419 117.76 27,626,912–28,333,800 3 14.35 18.52 2.17 23
MQTL1.4 S1_28101401˽S1_28947942 RM6666 130.04 31,305,693–32,019,592 3 7.13 9.92 4 34
MQTL2.1 2 41.39 3 S2_3978527˽id2005033 RM6233 32.57 4,414,124–9,032,782 1 20.58 4 20.58 26
MQTL2.2 S2_21852479˽S2_22880103 RM5804 98.57 23,862,405–25,302,318 3 18.46 6.92 8.82 28
MQTL2.3 S2_31117728˽S2_32291905 RM1251 150.98 34,081,397–35,160,225 2 12.5 11.77 7.37 19
MQTL3.1 3 77.9 3 RM1332˽S3_2715095 RM6849 15.66 2,435,994–4,316,639 3 19.83 7.047 8.26 19
MQTL3.2 S3_12754378˽id3009515 RM6881 78.53 16,685,678–16,685,710 1 0.9 3.4 0.9 3
MQTL3.3 S3_14738562˽S3_16599892 RM5626 100.59 23,628,236–24,671,291 2 9.42 8.395 6.44 26
MQTL4.1 4 25.21 3 S4_598874˽RM2811 RM335 4.98 176,849–2,074,339 2 22.79 15.725 6 24
MQTL4.2 id4002942˽id4003491 RM6314 38.34 1,663,548–18,627,911 1 11.02 5.6 11.02 10
MQTL4.3 RM2636˽RM3276 RM317 94.79 29,219,406–30,715,786 1 15.3 12.7 15.3 25
MQTL5.1 5 64.56 3 S5_103866˽S5_816467 RM507 1.58 71,514–10,676,235 3 11.27 11.27 4.92 35
MQTL5.2 RM1024˽S5_3774907 RM3345 17.79 1,174,375–3,187,129 4 22.49 13.43 9.61 20
MQTL5.3 S5_2096055˽S5_4565557 RM4710 21.52 2,084,818–1,174,375 4 22.49 13.43 13.56 40
MQTL6.1 6 44.38 3 S6_2282606˽S6_3465712 RM6536 13.97 2,364,986–4,439,584 2 8.82 17.19 6.24 10
MQTL6.2 S6_11989668˽RM3827 RM7551 70.87 17,483,480–21,950,443 3 14.18 6.77 12.19 6
MQTL6.3 S6_24093510˽S6_25108804 RM5509 108.14 26,873,633–28,149,934 1 9.3 24 9.3 27
MQTL7.1 7 65.69 4 S7_2565701˽S7_2691147 RM5055 14.82 2,557,838–3,174,427 2 24.6 8.45 2 20
MQTL7.2 RM8263˽RM8022 RM6081 41.62 4,688,095–8,165,670 1 12.11 6.8 12.11 26
MQTL7.3 S7_8556262˽S7_13750881 RM2530 54.13 15,357,245–15,357,268 4 13.44 11.8 4.19 12
MQTL7.4 S7_19631949˽S7_22277522 RM7564 79.82 20,733,917–23,958,017 2 25.63 6.13 13.54 28
MQTL8.1 8 80.72 4 S8_1128224˽S8_1537411 RM3702 13.08 1,182,996–1,555,519 4 13.28 10.41 0.99 27
MQTL8.2 S8_5250169˽RM6429 RM7057 43.72 5,102,982–8,379,130 2 28.18 10.16 9.07 22
MQTL8.3 S8_23316147˽RM556 RM195 82.59 21,137,914–22,335,423 2 10.8 12.87 7.63 22
MQTL8.4 S8_25110888_RM281 RM6765 108.47 24,065,708–3,174,380 1 22.48 15.93 22.48 22
MQTL10.1 10 8.47 1 S10_10102852˽S10_11244588 RM4455 22.84 10,178,447–11,221,582 2 7.9 6.6 5.59 17
MQTL11.1 11 40.93 3 S11_680258˽RM7557 RM3717 5.68 1,174,156–2,327,502 2 12.52 18.9 6.54 29
MQTL11.2 RM2459˽S11_2838776 RM2459 12.51 2,391,067–3,025,484 4 9.92 14.74 4.92 33
MQTL11.3 S11_10847755˽S11_16282381 RM7391 55.21 9,884,968–13,366,650 1 3.7 54.9 3.7 12
MQTL12.1 12 6.7 1 S12_25505958˽RM17 RM5282 96 23,606,775–27,024,556 1 16.47 5 16.47 22