基于55K SNP芯片的普通小麦穗长非条件和条件QTL分析

doi:10.3864/j.issn.0578-1752.2022.08.002

摘要/Abstract

摘要：

【目的】进一步挖掘小麦穗长具有利用价值的数量遗传位点（QTL）,同时深入探究穗长与其他重要农艺性状之间的遗传关系,为精细定位和分子辅助选择育种奠定基础。【方法】以20828为母本、SY95-71为父本,构建126份F₇代重组自交系群体。将亲本及其重组自交系分别于2016—2017年和2017—2018年生长季种植在中国四川省成都市温江区试验基地、中国四川省崇州市试验基地、中国四川省雅安市试验基地以及孟加拉国库尔纳市试验田,调查7个不同环境下的穗长表型。利用基于小麦55K SNP芯片构建的遗传连锁图谱进行非条件QTL的定位,并分析其效应。分别以株高、穗茎长、每穗小穗数和千粒重为条件,对定位到的主效QTL进行条件QTL分析,分析穗长与它们的遗传关系。【结果】通过非条件QTL定位到13个穗长QTL,分别位于1A、1D、2B、2D、4B、6D和7A染色体,LOD值为2.79—6.19,贡献率为5.35%—12.77%。其中,定位到3个稳定遗传的主效QTL：QSl-sau-2SY-2B、QSl-sau-2SY-2D.5和QSl-sau-2SY-4B,贡献率分别为6.54%—11.72%、10.16%—12.57%和5.35%—10.92%。这三个主效QTL在多环境分析中也可以检测到。进一步聚合分析表明,聚合QSl-sau-2SY-2B、QSl-sau-2SY-2D.5和QSl-sau-2SY-4B增效位点的株系穗长表型显著长于聚合任意2个主效QTL或仅含单个主效QTL增效位点的株系。同时,发现QSl-sau-2SY-2B对于株高、穗茎长、每穗小穗数和千粒重均没有显著影响,QSl-sau-2SY-2D.5对于千粒重有显著影响,达到3.98%,而对于株高、穗茎长和每穗小穗数没有显著影响,QSl-sau-2SY-4B对于株高和穗茎长有极显著影响,分别达到-12.28%和-22.26%,而对于每穗小穗数和千粒重没有显著影响。条件QTL分析结果表明,在QTL水平上,QSl-sau-2SY-2B与株高和穗茎长无关,但受到每穗小穗数和千粒重的影响,QSl-sau-2SY-2D.5与穗茎长、每穗小穗数和千粒重无关,但受到株高的影响,QSl-sau-2SY-4B与穗茎长和千粒重无关,但受到株高和每穗小穗数的影响。【结论】定位到3个控制穗长且稳定遗传的主效QTL——QSl-sau-2SY-2B、QSl-sau-2SY-2D.5和QSl-sau-2SY-4B。其中,QSl-sau-2SY-2B可能为新的QTL,独立于株高和穗茎长遗传。

关键词: 普通小麦, 55K SNP芯片, 穗长, 非条件QTL, 条件QTL

Abstract:

【Objective】This study is to excavate spike length (SL)-related quantitative trait loci (QTL) with potential breeding value, explore the genetic relationship between SL and other important agronomic traits in wheat, and aim at laying a foundation for fine mapping and molecular-assisted selection breeding. 【Method】A total of 126 F₇ recombinant inbred lines (RIL) constructed by crossing 20828 and SY95-71 were used in this study. The RIL population including their parents were planted in seven different environments for phenotypic evaluation: Wenjiang, Chongzhou, Ya'an of Sichuan Province in China, and Khulna in Bangladesh during 2016-2017 and 2017-2018 growing seasons. Unconditional QTL mapping was performed using a genetic linkage map constructed using the wheat 55K SNP array, and QTLs’ effects were further analyzed. Conditional QTL analysis was performed to analyze the relationship between SL and other agronomic traits including plant height (PH), spike extension length (SEL), spikelet number per spike (SNS) and thousand-kernel weight (TKW). 【Result】Thirteen QTLs controlling SL were identified using unconditional QTL mapping, and they were located on chromosomes 1A, 1D, 2B, 2D, 4B, 6D, and 7A. The LOD values ranged from 2.79 to 6.19, and the phenotypic variation rate ranged from 5.35% to 12.77%. Three stable and major QTLs (QSl-sau-2SY-2B, QSl-sau-2SY-2D.5 and QSl-sau-2SY-4B) were identified, and they explained 6.54% to 11.72%, 10.16% to 12.57%, and 5.35% to 10.92% of phenotypic variation rate, respectively. Furthermore, these three major QTLs could be also detected in multi-environment analysis. Moreover, aggregation analysis suggested that the SL of lines polymerizing the positive allels at these three major QTLs was significantly longer than that of those with any two ones or those carrying only one. Meanwhile, it was found that QSl-sau-2SY-2B had no significant effect on PH, SEL, SNS and TKW. QSl-sau-2SY-2D.5 had a significant effect on improving TKW (3.98%), but no significant effect on PH, SEL and SNS. QSl-sau-2SY-4B had a significant effect on decreasing PH (-12.28%) and SEL (-22.26%), but no significant effect on SNS and TKW. The conditional QTL analysis showed that QSl-sau-2SY-2B was independent of PH and SEL, whereas, affected by SNS and TKW. QSl-sau-2SY-2D.5 was independent of SEL, SNS and TKW, but affected by PH. QSl-sau-2SY-4B was independent of SEL and TKW, but affected by PH and SNS. 【Conclusion】In this study, three stable and major QTLs were identified for SL: QSl-sau-2SY-2B, QSl-sau-2SY-2D.5, and QSl-sau-2SY-4B, among which QSl-sau-2SY-2B may be a novel QTL independent of PH and SEL.

Key words: common wheat, 55K SNP array, spike length, unconditional QTL, conditional QTL

唐华苹, 陈黄鑫, 李聪, 苟璐璐, 谭翠, 牟杨, 唐力为, 兰秀锦, 魏育明, 马建. 基于55K SNP芯片的普通小麦穗长非条件和条件QTL分析[J]. 中国农业科学, 2022, 55(8): 1492-1502.

TANG HuaPing, CHEN HuangXin, LI Cong, GOU LuLu, TAN Cui, MU Yang, TANG LiWei, LAN XiuJin, WEI YuMing, MA Jian. Unconditional and Conditional QTL Analysis of Wheat Spike Length in Common Wheat Based on 55K SNP Array[J]. Scientia Agricultura Sinica, 2022, 55(8): 1492-1502.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2022.08.002

https://www.chinaagrisci.com/CN/Y2022/V55/I8/1492

图/表 9

图1

表1

图2

表2

表3

表4

图3

图4

表5

参考文献 34

[1]	SHIFERAW B, SMALE M, BRAUN H J, DUVEILLER E, REYNOLDS M, MURICHO G. Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Security, 2013, 5(3): 291-317. doi: 10.1007/s12571-013-0263-y
[2]	YANG Y, KRISHNA K, DESHPANDE P, RANGANATHAN V, JAYARAMAN V, WANG T, BEI K, KRISHNAMURTHY H. High frequency of extractable nuclear autoantibodies in wheat-related disorders. Biomarker Insights, 2018, 13: 1-6.
[3]	FAROOQ J, KHALIQ I, AKBAR M, PETRESCU-MAG I V, HUSSAIN M. Genetic analysis of some grain yield and its attributes at high temperature stress in wheat (Triticum aestivum L.). Ann RSCB, 2015, 19(3): 71-81.
[4]	MAUREEN T N, JACOB M, HUSSEIN S, ALFRED O. Agronomic and physiological traits, and associated quantitative trait loci (QTL) affecting yield response in wheat (Triticum aestivum L.): A review. Frontiers in Plant Science, 2019, 10: 1428. doi: 10.3389/fpls.2019.01428
[5]	JI G S, XU Z B, FAN X L, ZHOU Q, YU Q, LIU X F, LIAO S M, FENG B, WANG T.Identification of a major and stable QTL on chromosome 5A confers spike length in wheat (Triticum aestivum L.). Molecular Breeding, 2021, 41(9): 1-13. doi: 10.1007/s11032-020-01191-z
[6]	LI T, DENG G B, SU Y, YANG Z, TANG Y Y, WANG J H. QIU X B, PU X, LI J, LIU Z H, ZHANG H L, LIANG J J, YANG W Y, YU M Q, WEI Y M, LONG H. Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield-related traits. Theoretical and Applied Genetics, 2021, 134: 3625-3641. doi: 10.1007/s00122-021-03918-8
[7]	ZHOU Y, CONWAY B, MILLER D, MARSHALL D, COOPER A, MURPHY P, CHAO S, BROWN-GUEDIRA G, COSTA J. Quantitative trait loci mapping for spike characteristics in hexaploid wheat. The Plant Genome, 2017, 10(2): plantgenome2016.10.0101.
[8]	LIU J, XU Z B, FAN X L, ZHOU Q, CAO J, WANG F, JI G S, YANG L, FENG B, WANG T. A genome-wide association study of wheat spike related traits in China. Frontiers in Plant Science, 2018, 9: 1584. doi: 10.3389/fpls.2018.01584
[9]	ZHAI H J, FENG Z U, LI J, LIU X Y, XIAO S H, NI Z F, SUN Q X. QTL analysis of spike morphological traits and plant height in winter wheat (Triticum aestivum L.) using a high-density SNP and SSR-based linkage map. Frontiers in Plant Science, 2016, 7: 1617.
[10]	GUO L B, XING Y Z, MEI H W, XU C G, SHI C H, WU P, LUO L J. Dissection of component QTL expression in yield formation in rice. Plant Breeding, 2005, 124(2): 127-132. doi: 10.1111/j.1439-0523.2005.01093.x
[11]	CUI F, ZHAO C H, LI J, DING A M, LI X F, BAO Y G, LI J M, JI J, WANG H G. Kernel weight per spike: What contributes to it at the individual QTL level? Molecular Breeding, 2013, 31(2): 265-278. doi: 10.1007/s11032-012-9786-8
[12]	LI C, TANG H P, LUO W, ZHANG X M, MU Y, DENG M, LIU Y X, JIANG Q T, CHEN G D, WANG J R, QI P F, PU Z E, JIANG Y F, WEI Y M, ZHENG Y L, LAN X J, MA J. A novel, validated, and plant height-independent QTL for spike extension length is associated with yield-related traits in wheat. Theoretical and Applied Genetics, 2020, 133(12): 3381-3393. doi: 10.1007/s00122-020-03675-0
[13]	ZHANG H, CHEN J S, LI R Y, DENG Z Y, ZHANG K P, LIU B, TIAN J C. Conditional QTL mapping of three yield components in common wheat (Triticum aestivum L.). The Crop Journal, 2016, 4(3): 220-228. doi: 10.1016/j.cj.2016.01.007
[14]	FAN X L, CUI F, JI J, ZHANG W, ZHAO X Q, LIU J J, MENG D Y, TONG Y P, WANG T, LI J M. Dissection of pleiotropic QTL regions controlling wheat spike characteristics under different nitrogen treatments using traditional and conditional QTL mapping. Frontiers in Plant Science, 2019, 10: 187. doi: 10.3389/fpls.2019.00187
[15]	AGATA A, ANDO K, OTA S, KOJIMA M, TAKEBAYASHI Y, TAKEHARA S, DOI K, UEGUCHI-TANAKA M, SUZUKI T, SAKAKIBARA H, MATSUOKA M, ASHIKARI M, INUKAI Y, KITANO H, HOBO T. Diverse panicle architecture results from various combinations of Prl5/GA20ox4 and Pbl6/APO1 alleles. Communications Biology, 2020, 3(1): 1-17. doi: 10.1038/s42003-019-0734-6
[16]	CUI F, LI J, DING A M, ZHAO C H, WANG L, WANG X Q, LI S S, BAO Y G, LI S F, FENG D S, KONG L G, WANG H G. Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theoretical and Applied Genetics, 2011, 122(8): 1517-1536. doi: 10.1007/s00122-011-1551-6
[17]	YU M, MAO S L, CHEN G Y, PU Z E, WEI Y M, ZHENG Y L. QTLs for uppermost internode and spike length in two wheat RIL populations and their affect upon plant height at an individual QTL level. Euphytica, 2014, 200(1): 95-108. doi: 10.1007/s10681-014-1156-7
[18]	SU Q N, ZHANG X L, ZHANG W, ZHANG N, SONG L, LIU L Q, LIU L, XUE X, LIUG T, LIU J J, MENG D Y, ZHI L Y, JI J, ZHAO X Q, YANG C L, TONG Y P, LIU Z Y, LI J M. QTL detection for kernel size and weight in bread wheat (Triticum aestivum L.) using a high-density SNP and SSR-based linkage map. Frontiers in Plant Science, 2018, 9: 1484. doi: 10.3389/fpls.2018.01484
[19]	MA J, QIN N N, CAI B, CHEN G Y, DING P Y, ZHANG H, YANG C C, HUANG L, MU Y, TANG H P, LIU Y X, WANG J R, QI P F, JIANG Q T, ZHENG Y L, LIU C J, LAN X J, WEI Y M. Identification and validation of a novel major QTL for all-stage stripe rust resistance on 1BL in the winter wheat line 20828. Theoretical and Applied Genetics, 2019, 132(5): 1363-1373. doi: 10.1007/s00122-019-03283-7
[20]	舒焕麟, 杨足君, 李光蓉. 创新诱发材料SY95-71选育和利用价值研究. 四川农业大学学报, 1999, 17(3): 249-253.
	SHU H L, YANG Z J, LI G R. Selection and evaluation of a wheat line SY95-71 as new yellow rust spreader. Journal of Sichuan Agricultural University, 1999, 17(3): 249-253. (in Chinese)
[21]	DING P Y, MO Z Q, TANG H P, MU Y, DENG M, JIANG Q T, LIU Y X, CHEN G D, CHEN G Y, WANG J R, LI W, QI P F, JIANG Y F, KANG H Y, YAN G J, WEI Y M, ZHENG Y L, LAN X J, MA J. A major and stable QTL for wheat spikelet number per spike was validated in different genetic backgrounds. Journal of Integrative Agriculture, 2021. doi: 10.1016/S2095-3119(20)63602-4. doi: 10.1016/S2095-3119(20)63602-4
[22]	LIU J J, TANG H P, QU X R, LIU H, LI C, TU Y, LI S Q, HABIB A, MU Y, DAI S F, DENG M, JIANG Q T, LIU Y X, CHEN G Y, WANG J R, CHEN G D, LI W, JIANG Y F, WEI Y M, LAN X J, ZHENG Y L, MA J. A novel, major, and validated QTL for the effective tiller number located on chromosome arm 1BL in bread wheat. Plant Molecular Biology, 2020, 104(1): 173-185. doi: 10.1007/s11103-020-01035-6
[23]	QU X R, LIU J J, XIE X L, XU Q, TANG H P, MU Y, PU Z E, LI Y, MA J, GAO Y T, JIANG Q T, LIU Y X, CHEN G Y, WANG J R, QI P F, HABIB A, WEI Y M, ZHENG Y L, LAN X J, MA J. Genetic mapping and validation of loci for kernel-related traits in wheat (Triticum aestivum L.). Frontiers in Plant Science, 2021, 12: 667493.
[24]	ZHU T, WANG L, RIMBERT H, RODRIGUEZ J C, DEAL K R, DE OLIVEIRA R, CHOULET F, KEEBLE-GAGNERE G, TIBBITS J, ROGERS J, EVERSOLE K, APPELS R, GU Y Q, MASCHER M, DVORAK J, LUO M C. Optical maps refine the bread wheat Triticum aestivum cv. Chinese Spring genome assembly. The Plant Journal, 2021, 107: 303-314. doi: 10.1111/tpj.15289
[25]	PRETINI N, VANZETTI L S, TERRILE I I, DONAIRE G, GONZÁLEZ F G. Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations. BMC Plant Biology, 2021, 21(1): 1-18. doi: 10.1186/s12870-020-02777-7
[26]	XU Y F, LI S S, LI L H, MA F F, FU X Y, SHI Z L, XU H X, MA P T, AN D G. QTL mapping for yield and photosynthetic related traits under different water regimes in wheat. Molecular Breeding, 2017, 37(3): 34. doi: 10.1007/s11032-016-0583-7
[27]	李聪, 马建, 刘航, 丁浦洋, 杨聪聪, 张涵. 兰秀锦. 基于小麦55K SNP芯片检测小麦穗长和株高性状QTL. 麦类作物学报, 2019, 39(11): 1284-1292.
	LI C, MA J, LIU H, DING P Y, YANG C C, ZHANG H, LAN X J. Detection of QTLs for spike length and plant height in wheat based on 55K SNP array. Journal of Triticeae Crops, 2019, 39(11): 1284-1292. (in Chinese)
[28]	MWADZINGENI L, SHIMELIS H, REES D J G, TSILO T J. Genome-wide association analysis of agronomic traits in wheat under drought-stressed and non-stressed conditions. PLoS ONE, 2017, 12(2): e0171692.
[29]	ELLIS M, REBETZKE G, AZANZA F, RICHARDS R, SPIELMEYER W. Molecular mapping of gibberellin-responsive dwarfing genes in bread wheat. Theoretical and Applied Genetics, 2005, 111(3): 423-430. doi: 10.1007/s00122-005-2008-6
[30]	REBETZKE G, APPELS R, MORRISON A, RICHARDS R, MCDONALD G, ELLIS M, SPIELMEYER W, BONNETT D.Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.). Australian Journal of Agricultural Research, 2001, 52(12): 1221-1234. doi: 10.1071/AR01042
[31]	邹拓, 耿雷跃, 张薇, 张启星. 水稻抗病虫基因挖掘及聚合育种研究进展. 河北农业科学, 2018, 22(5): 47-67.
	ZOU T, GENG L Y, ZHANG W, ZHANG Q X. Research advances on gene mining resistant to disease and insect and polymerization breeding of rice. Journal of Hebei Agricultural Sciences, 2018, 22(5): 47-67. (in Chinese)
[32]	鲁秀梅, 张宁, 陈劲枫, 钱春桃. 作物基因聚合育种的研究进展. 分子植物育种, 2017, 15(4): 1445-1454.
	LU X M, ZHANG N, CHEN J F, QIAN C T. The research progress in crops pyramiding breeding. Molecular Plant Breeding, 2017, 15(4): 1445-1454. (in Chinese)
[33]	LI Q F, ZHANG Y, LIU T T, WANG F F, LIU K, CHEN J S, TIAN J C. Genetic analysis of kernel weight and kernel size in wheat (Triticum aestivum L.) using unconditional and conditional QTL mapping. Molecular Breeding, 2015, 35(10): 1-15. doi: 10.1007/s11032-015-0202-z
[34]	LIU K Y, XU H, LIU G, GUAN P F, ZHOU X Y, PENG H R, NI Z F, SUN Q X, DU J K. QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 2018, 131(4): 839-849. doi: 10.1007/s00122-017-3040-z

环境 Environment	亲本Parent (cm)
环境 Environment	20828	SY95-71	范围 Range (cm)	均值 Mean (cm)	标准差 SD	偏度 Skewness	峰度 Kurtosis	遗传力 H²
E1	15.60**	9.50	8.10—16.80	12.63	1.68	-0.03	0.06
E2	15.43**	9.83	7.83—17.20	12.28	1.95	0.34	-0.07
E3	14.70**	9.80	6.57—15.50	11.49	1.51	-0.08	0.36
E4	12.55**	8.42	7.41—14.65	10.90	1.47	-0.07	-0.47
E5	13.15**	8.46	7.10—16.12	10.73	1.56	0.20	0.15
E6	11.28**	7.54	5.84—15.62	9.91	1.80	0.29	0.12
E7	15.13**	8.55	6.08—16.33	10.71	1.96	0.64	0.56
BLUP	13.65	9.15	8.70—14.27	11.23	1.14	0.18	-0.02	0.63

环境Environment	E1	E2	E3	E4	E5	E6	E7	BLUP
E1	1
E2	0.696**	1
E3	0.755**	0.699**	1
E4	0.581**	0.568**	0.539**	1
E5	0.642**	0.591**	0.571**	0.731**	1
E6	0.545**	0.636**	0.488**	0.570**	0.607**	1
E7	0.329**	0.424**	0.383**	0.231*	0.192*	0.279**	1
BLUP	0.838**	0.867**	0.817**	0.767**	0.788**	0.772**	0.556**	1

非条件QTL Unconditional QTL	环境 Environment	染色体 Chromosome	位置 Position (cM)	标记区间 Marker interval	LOD	贡献率 PVE (%)	加性效应 Add
QSl-sau-2SY-1A	E7	1A-1	59	AX-110961101—AX-108871459	2.93	11.30	0.69
QSl-sau-2SY-1D.1	E5	1D	44	AX-94498629—AX-89319035	4.78	9.32	0.54
QSl-sau-2SY-1D.2	E4	1D	84	AX-111087365—AX-110640947	4.80	9.41	0.48
QSl-sau-2SY-1D.3	E2	1D	116	AX-110766802—AX-111575769	2.97	7.26	0.56
QSl-sau-2SY-2B	E4	2B-2	141	AX-111019809—AX-109451490	5.91	11.72	-0.53
	E5	2B-2	147	AX-94441014—AX-109521609	3.49	6.54	-0.46
	BLUP	2B-2	147	AX-94441014—AX-109521609	3.97	9.86	-0.37
QSl-sau-2SY-2D.1	BLUP	2D-1	19	AX-86163393—AX-109785183	3.23	10.04	0.37
QSl-sau-2SY-2D.2	E5	2D-2	47	AX-110977542—AX-109417243	5.85	12.53	0.63
QSl-sau-2SY-2D.3	E6	2D-3	25	AX-108767381—AX-111722527	3.44	12.77	0.65
QSl-sau-2SY-2D.4	E2	2D-3	35	AX-111722527—AX-109421761	4.44	12.66	0.73
QSl-sau-2SY-2D.5	BLUP	2D-3	70	AX-109291628—AX-111093303	3.93	11.28	0.39
	E1	2D-3	72	AX-111093303—AX-109338052	2.96	10.16	0.55
	E4	2D-3	74	AX-109338052—AX-111656957	6.19	12.57	0.55
QSl-sau-2SY-4B	E4	4B-2	0	AX-110928817—AX-111620391	2.88	5.35	0.36
	E5	4B-2	0	AX-110928817—AX-111620391	5.43	10.92	0.59
	E3	4B-2	4	AX-111573292—AX-111233094	3.04	10.08	0.54
QSl-sau-2SY-6D	E2	6-D	31	AX-111026969—AX-109353709	2.79	9.59	0.64
QSl-sau-2SY-7A	E2	7A-2	27	AX-109417084—AX-108776518	3.00	7.63	-0.58

检测到的QTL Detected QTL	标记区间 Marker interval	LOD	LOD (A)	LOD (AbyE)	贡献率 PVE (%)	PVE (A)	PVE (AbyE)	加性效应 Add
QSl-sau-2SY-2B	AX-94498629—AX-89319035	7.11	3.60	3.51	1.23	0.76	0.47	0.21
	AX-111019809—AX-109451490	9.82	5.55	4.27	1.63	1.16	0.47	-0.25
	AX-94441014—AX-109521609	9.01	7.40	1.60	1.86	1.55	0.31	-0.29
	AX-110872666—AX-110373068	7.01	5.87	1.13	1.54	1.21	0.33	0.26
	AX-110977542—AX-109417243	11.93	8.66	3.27	1.99	1.77	0.22	0.31
	AX-111722527—AX-109421761	7.68	5.65	2.03	1.64	1.16	0.48	0.25
QSl-sau-2SY-2D.5	AX-109338052—AX-111656957	12.32	7.68	4.65	1.97	1.60	0.37	0.30
QSl-sau-2SY-4B	AX-110928817—AX-111620391	10.59	4.14	6.45	1.80	0.88	0.92	0.22

T1\|T2	染色体 Chromosome	位置 Position (cM)	标记区间 Marker interval	LOD	贡献率 PVE (%)	加性效应 Add	非条件QTL Unconditional QTL	LOD	贡献率 PVE (%)	加性效应 Add
SL\|PH	2B-2	147	AX-94441014—AX-109521609	3.66	8.50	-0.32	QSl-sau-2SY-2B	3.97	9.86	-0.37
SL\|PH	2D-2	48	AX-110977542—AX-109417243	2.87	6.80	0.29	-
SL\|PH	2D-3	74	AX-109338052—AX-111656957	3.35	8.05	0.31	QSl-sau-2SY-2D.5	3.93	11.28	0.39
SL\|PH	4B-2	3	AX-111573292—AX-111233094	4.49	12.29	0.39	QSl-sau-2SY-4B
SL\|PH	7D	20	AX-109130875—AX-109379249	3.52	9.68	0.34	-
SL\|SEL	2B-2	147	AX-94441014—AX-109521609	3.62	9.15	-0.37	QSl-sau-2SY-2B	3.97	9.86	-0.37
SL\| SEL	2D-1	18	AX-86163393—AX-109785183	3.32	10.94	0.40	-
SL\| SEL	2D-3	71	AX-109291628—AX-111093303	4.02	10.92	0.40	QSl-sau-2SY-2D.5	3.93	11.28	0.39
SL\|SNS	2B-2	147	AX-94441014—AX-109521609	2.85	6.47	-0.29	QSl-sau-2SY-2B	3.97	9.86	-0.37
SL\|SNS	2D-2	47	AX-110977542—AX-109417243	3.09	7.70	0.31	-
SL\|SNS	2D-3	72	AX-111093303—AX-109338052	4.01	9.30	0.34	QSl-sau-2SY-2D.5	3.93	11.28	0.39
SL\|SNS	4B-2	3	AX-111573292—AX-111233094	2.57	6.44	0.29	QSl-sau-2SY-4B
SL\|SNS	7A-2	103	AX-110518554—AX-110442528	3.79	9.35	-0.35	-
SL\|TGW	2B-2	146	AX-108758148—AX-94441014	3.09	7.40	-0.29	QSl-sau-2SY-2B	3.97	9.86	-0.37
SL\|TGW	2D-3	72	AX-111093303—AX-109338052	4.02	9.47	0.33	QSl-sau-2SY-2D.5	3.93	11.28	0.39
SL\|TGW	6B-1	83	AX-89344223—AX-110472291	2.59	6.07	0.27	-
SL\|TGW	7A-2	27	AX-109417084—AX-108776518	4.05	10.10	-0.35	-
SL\|TGW	7D	20	AX-109130875—AX-109379249	3.98	11.30	0.36	-