玉米叶形相关性状的Meta-QTL及候选基因分析

doi:10.11983/CBB17082

植物学报 ›› 2018, Vol. 53 ›› Issue (4): 487-501.DOI: 10.11983/CBB17082

玉米叶形相关性状的Meta-QTL及候选基因分析

郭书磊^1,², 张君¹, 齐建双¹, 岳润清¹, 韩小花¹, 燕树锋¹, 卢彩霞¹, 傅晓雷¹, 陈娜娜¹, 库丽霞^2,^*(), 铁双贵^1,^*()

¹河南省农业科学院粮食作物研究所, 河南省玉米生物学重点实验室, 郑州 450002
²河南农业大学农学院, 河南粮食作物协同创新中心, 郑州 450002

收稿日期:2017-04-13 接受日期:2017-10-25 出版日期:2018-07-01 发布日期:2018-09-11
通讯作者: 库丽霞,铁双贵
作者简介:† 共同第一作者。
基金资助:
河南省现代农业产业技术体系专项(No.S2015-02-G02)、河南省科技开放合作项目(No.172106000040)、中国博士后科学基金(No.2017M612404)和河南省博士后科研资助项目(No.1515)

Analysis of Meta-quantitative Trait Loci and Their Candidate Genes Related to Leaf Shape in Maize

Guo Shulei^1,², Zhang Jun¹, Qi Jianshuang¹, Yue Runqing¹, Han Xiaohua¹, Yan Shufeng¹, Lu Caixia¹, Fu Xiaolei¹, Chen Nana¹, Ku Lixia^2,^*(), Tie Shuanggui^1,^*()

¹Henan Provincial Key Lab of Maize Biology, Cereal Crops Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
²Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agriculture University, Zhengzhou 450002, China

Received:2017-04-13 Accepted:2017-10-25 Online:2018-07-01 Published:2018-09-11
Contact: Ku Lixia,Tie Shuanggui
About author:† These authors contributed equally to this paper

摘要/Abstract

摘要： 叶长、叶宽、叶面积及叶夹角不仅影响玉米(Zea mays)光合效率, 也是株型的重要构成因素。通过对620个叶形QTL进行整合, 构建不同遗传背景下的叶形QTL整合图谱, 利用元分析发掘出22个叶长、22个叶宽、12个叶面积以及17个叶夹角mQTL; 进一步运用生物信息学手段, 确定44个与叶片发育密切相关的候选基因。分析发现, 仅有NAL7-like、YABBY6- like和GRF2等13个基因位于mQTL区间内, 而玉米中已克隆的KNOTTED1、AN3/GIF1、rgd1/lbl1、mwp1及SRL2-like、HYL1-like和CYCB2;4-like等水稻(Oryza sativa)和拟南芥(Arabidopsis thaliana)叶形同源基因位于未被整合的QTL内; 对44个候选基因在叶片长、宽、厚发育过程中基部-末端、中央-边缘、远轴-近轴的调控机理进行归纳分析, 发现玉米中仅有少数几个候选基因被报道, 揭示了叶形发育的部分分子机理。因此, 对玉米叶形相关mQTL/QTL及基因进行全面深入的分析, 不仅有助于增加对其遗传结构的了解, 发掘更多候选基因, 阐明叶形发育和形成的分子机制, 还可为耐密理想株型的分子标记辅助选择提供依据。

关键词: 玉米, 叶长, 叶宽, 叶面积, 叶夹角, 元分析, meta-QTL, 候选基因

Abstract: Leaf length, width, area, and angle are important components of plant architecture but also affect the efficiency of photosynthesis in maize. In this study, 620 quantitative trait loci (QTL) were used to construct an integrated map related to maize leaf shape; 22 maize QTL (mQTL) for leaf length, 22 for leaf width, 12 for leaf area and 17 for leaf angle were estimated by meta-analysis. Further bioinformatics analysis identified 44 candidate genes closely related to leaf shape within the mQTL region, with some unintegrated QTL. However, only 13 candidate genes, including NAL7-like, YABBY6-like, and GRF2, were located in the mQTL region. Most of the candidate genes, such as the cloned genes KNOTTED1, AN3/GIF1, rgd1/lbl1 and mwp1 in maize and SRL2-like, HYL1-like, and CYCB2;4-like in rice and Arabidopsis thaliana homologous genes were projected onto the interval of unintegrated QTL. The regulation mechanism of 44 candidate genes is summarized and analyzed in the development of leaf length, width and thickness, by proximal-distal, central-marginal and adaxial-abaxial. Only a few known genes revealed part of the molecular mechanism of leaf deve- lopment in maize. Further research of the mQTL/QTL and related genes will create a global view of the genetic architecture of maize leaf shape, provide useful biological information for fine mapping QTL, and identify more candidate genes to clarify the molecular mechanism of leaf morphogenesis and provide a theoretical base for ideal plant-architecture improvement of maize marker-assisted breeding.

Key words: maize (Zea mays), leaf length, leaf width, leaf area, leaf angle, meta-analysis, meta-QTL, candidate gene

郭书磊, 张君, 齐建双, 岳润清, 韩小花, 燕树锋, 卢彩霞, 傅晓雷, 陈娜娜, 库丽霞, 铁双贵. 玉米叶形相关性状的Meta-QTL及候选基因分析. 植物学报, 2018, 53(4): 487-501.

Guo Shulei, Zhang Jun, Qi Jianshuang, Yue Runqing, Han Xiaohua, Yan Shufeng, Lu Caixia, Fu Xiaolei, Chen Nana, Ku Lixia, Tie Shuanggui. Analysis of Meta-quantitative Trait Loci and Their Candidate Genes Related to Leaf Shape in Maize. Chinese Bulletin of Botany, 2018, 53(4): 487-501.

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图/表 4

参考文献 41

42	Lee YK, Kim GT, Kim IJ, Park J, Kwak SS, Choi G, Chung WI (2006). LONGIFOLIA1 and LONGIFOLIA2, two homologous genes, regulate longitudinal cell elongation in Arabidopsis. Development 133, 4305-4314.
43	Liang G, He H, Li Y, Wang F, Yu DQ (2014). Molecular mechanism of microRNA396 mediating pistil development in Arabidopsis.Plant Physiol 164, 249-258.
44	Liu XF, Li M, Liu K, Tang D, Sun MF, Li YF, Shen Y, Du GJ, Cheng ZK (2016). Semi-Rolled Leaf 2 modulates rice leaf rolling by regulating abaxial side cell differentiation. J Exp Bot 67, 2139-2150.
45	Liu ZY, Jia LG, Wang H, He YK (2011). HYL1 regulates the balance between adaxial and abaxial identity for leaf flattening via miRNA-mediated pathways.J Exp Bot 62, 4367-6381.
46	Luan WJ, Liu YQ, Zhang FX, Song YL, Wang ZY, Peng YK, Sun ZX (2011). OsCD1 encodes a putative member of the cellulose synthase-like D sub-family and is essential for rice plant architecture and growth. Plant Biotechnol J 9, 513-524.
47	Mallory AC, Reinhart BJ, Jones-Rhoades MW, Tang GL, Zamore PD, Barton MK, Bartel DP (2004). MicroRNA control of PHABULOSA in leaf development: importance of pairing to the microRNA 5′ region.EMBO J 23, 3356-3364.
48	Matsumoto N, Okada K (2001). A homeobox gene, PRES- SED FLOWER, regulates lateral axis-dependent deve- lopment of Arabidopsis flowers. Genes Dev 15, 3355-3364.
49	Matsuoka M, Ichikawa H, Saito A, Tada Y, Fujimura T, Kano-Murakami Y (1993). Expression of a rice homeobox gene causes altered morphology of transgenic plants.Plant Cell 5, 1039-1048.
50	Menges M, de Jager SM, Gruissem W, Murray JAH (2005). Global analysis of the core cell cycle regulators of Arabidopsis identifies novel genes, reveals multiple and highly specific profiles of expression and provides a coherent model for plant cell cycle control.Plant J 41, 546-566.
51	Mickelson SM, Stuber CS, Senior L, Kaeppler SM (2002). Quantitative trait loci controlling leaf and tassel traits in a B73 × Mo17 population of maize.Crop Sci 42, 1902-1909.
52	Mizukami Y, Fischer RL (2000). Plant organ size control: AINTEGUMENTA regulates growth and cell numbers during organogenesis. Proc Natl Acad Sci USA 97, 942-947.
53	Mlotshwa S, Yang ZY, Kim YJ, Chen XM (2006). Floral patterning defects induced by Arabidopsis APETALA2 and microRNA172 expression in Nicotiana benthamiana.Plant Mol Biol 61, 781-793.
54	Nagasaki H, Sakamoto T, Sato Y, Matsuoka M (2001). Functional analysis of the conserved domains of a rice KNOX homeodomain protein, OSH15.Plant Cell 13, 2085-2098.
55	Nakata M, Matsumoto N, Tsugeki R, Rikirsch E, Laux T, Okada K (2012). Roles of the middle domain-specific WUSCHEL-RELATED HOMEOBOX genes in early development of leaves in Arabidopsis. Plant Cell 24, 519-535.
56	Nardmann J, Ji JB, Werr W, Scanlon MJ (2004). The maize duplicate genes narrow sheath 1 and narrow sheath 2 encode a conserved homeobox gene function in a lateral domain of shoot apical meristems. Development 131, 2827-2839.
57	Nelissen H, Eeckhout D, Demuynck K, Persiau G, Walton A, Van Bel M, Vervoort M, Candaele J, de Block J, Aes- aert S, Van Lijsebettens M, Goormachtig S, Vandepoele K, Van Leene J, Muszynski M, Gevaert K, Inzé D, De Jaeger G (2015). Dynamic changes in ANGUSTIFOLIA3 complex composition reveal a growth regulatory mechanism in the maize leaf.Plant Cell 27, 1605-1619.
58	Pekker I, Alvarez JP, Eshed Y (2005). Auxin response factors mediate Arabidopsis organ asymmetry via modulation of KANADI activity.Plant Cell 17, 2899-2910.
59	Qi J, Qian Q, Bu QY, Li SY, Chen Q, Sun JQ, Liang WX, Zhou YH, Chu CC, Li XG, Ren FG, Palme K, Zhao BR, Chen JF, Chen MS, Li CY (2008). Mutation of the rice Narrow leaf1 gene, which encodes a novel protein, affects vein patterning and polar auxin transport. Plant Physiol 147, 1947-1959.
60	Ramirez J, Bolduc N, Lisch D, Hake S (2009). Distal expression of knotted1 in maize leaves leads to reestablishment of proximal/distal patterning and leaf dissection.Plant Physiol 151, 1878-1888.
61	Reymond M, Muller B, Tardieu F (2004). Dealing with the genotype×environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters.J Exp Bot 55, 2461-2472.
62	Roodbarkelari F, Du F, Truernit E, Laux T (2015). ZLL/ AGO10 maintains shoot meristem stem cells during Arabidopsis embryogenesis by down-regulating ARF2- mediated auxin response.BMC Biol 13, 74.
63	Scanlon MJ, Chen KD, McKnight CC (2000). The narrow sheath duplicate genes: sectors of dual aneuploidy reveal ancestrally conserved gene functions during maize leaf development. Genetics 155, 1379-1389.
64	Schatlowski N, Stahl Y, Hohenstatt ML, Goodrich J, Schubert D (2010). The CURLY LEAF interacting protein BLISTER controls expression of polycomb-group target genes and cellular differentiation of Arabidopsis thaliana. Plant Cell 22, 2291-2305.
65	Sentoku N, Sato Y, Matsuoka M (2000). Overexpression of rice OSH genes induces ectopic shoots on leaf sheaths of transgenic rice plants. Dev Biol 220, 358-364.
66	Tian F, Bradbury PJ, Brown PJ, Hung H, Sun Q, Flint-Garcia S, Rocheford TR, McMullen MD, Holland JB, Buckler ES (2011). Genome-wide association study of leaf architecture in the maize nested association mapping population.Nat Genet 43, 159-162.
67	Timmermans MC, Schultes NP, Jankovsky JP, Nelson T (1998). Leaf bladeless 1 is required for dorsoventrality of lateral organs in maize. Development 125, 2813-2823.
68	Toriba T, Harada K, Takamura A, Nakamura H, Ichikawa H, Suzaki T, Hirano HY (2007). Molecular characterization the YABBY gene family in Oryza sativa and expression analysis of OsYABBY1. Mol Genet Genom 277, 457-468.
69	Vercruyssen L, Verkest A, Gonzalez N, Heyndrickx KS, Eeckhout D, Han SK, Jégu T, Archacki R, Van Leene J, Andriankaja M, De Bodt S, Abeel T, Coppens F, Dhondt S, De Milde L, Vermeersch M, Maleux K, Gevaert K, Jerzmanowski A, Benhamed M, Wagner D, Vandepoele K, De Jaeger G, Inzé D (2014). ANGUSTIFOLIA3 binds to SWI/SNF chromatin remodeling complexes to regulate transcription during Arabidopsis leaf development.Plant Cell 26, 210-229.
70	Wassom JJ (2013). Quantitative trait loci for leaf angle, leaf width, leaf length, and plant height in a maize (Zea mays L.) B73 × Mo17 population. Maydica 58, 318-321.
71	Wei XM, Wang XB, Guo SL, Zhou JL, Shi Y, Wang HT, Dou DD, Song XH, Li GH, Ku LX, Chen YH (2016). Epistatic and QTL × environment interaction effects on leaf area-associated traits in maize.Plant Breed 135, 671-676.
72	Woo YM, Park HJ, Su’udi M, Yang JI, Park JJ, Back K, Park YM, An G (2007). Constitutively wilted 1, a member of the rice YUCCA gene family, is required for maintaining water homeostasis and an appropriate root to shoot ratio. Plant Mol Biol 65, 125-136.
73	Wu L, Zhang DF, Xue M, Qian JJ, He Y, Wang SC (2014). Overexpression of the maize GRF10, an endogenous truncated growth-regulating factor protein, leads to reduction in leaf size and plant height.J Integr Plant Biol 56, 1053-1063.
74	Würschum T, Groß-Hardt R, Laux T (2006). APETALA2 regulates the stem cell niche in the Arabidopsis shoot meristem. Plant Cell 18, 295-307.
75	Yoshikawa T, Eiguchi M, Hibara KI, Ito JI, Nagato Y (2013). Rice SLENDER LEAF 1 gene encodes cellulose synthase-like D4 and is specifically expressed in M-phase cells to regulate cell proliferation. J Exp Bot 64, 2049-2061.
76	Zhang DF, Li B, Jia GQ, Zhang TF, Dai JR, Li JS, Wang SC (2008). Isolation and characterization of genes encoding GRF transcription factors and GIF transcriptional coactivators in Maize (Zea mays L.). Plant Sci 175, 809-817.
77	Zhang GH, Xu Q, Zhu XD, Qian Q, Xue HW (2009). SHALLOT-LIKE1 is a KANADI transcription factor that modulates rice leaf rolling by regulating leaf abaxial cell development.Plant Cell 21, 719-735.
1	安允权, 张君, 席章营, 李明娜, 李沛, 王顺喜, 张莹莹, 陈彦惠, 吴连成 (2016). 玉米不同叶位叶面积的QTL定位. 分子植物育种 14, 2113-2120.
2	常立国, 何坤辉, 刘建超, 薛吉全 (2016). 不同环境条件下玉米叶夹角的QTL定位. 玉米科学 24(4), 49-55.
3	郭莹 (2012). 利用不同F2群体定位玉米株型性状的QTL. 硕士论文. 重庆: 西南大学. pp. 45-47.
4	鞠培娜, 方云霞, 邹国兴, 彭友林, 孙川, 胡江, 董国军, 曾大力, 郭龙彪, 张光恒, 高振宇, 钱前 (2010). 一个新的水稻叶形突变体(tll1)的遗传分析与精细定位. 植物学报 45, 654-661.
5	李贤唐, 丁俊强, 王瑞霞, 吴建宇 (2011). 玉米株型相关性状的QTL定位与分析. 江苏农业科学 39(2), 21-25.
6	刘建超, 褚群, 蔡红光, 米国华, 陈范骏 (2010). 玉米SSR连锁图谱构建及叶面积的QTL定位. 遗传 32, 625-631.
7	刘正, 余婷婷, 梅秀鹏, 陈淅宁, 王国强, 王久光, 刘朝显, 王旭, 蔡一林 (2014). 玉米穗上叶夹角和叶间距的QTL定位. 农业生物技术学报 22, 177-187.
8	路明, 周芳, 谢传晓, 李明顺, 徐云碧, Warburton M, 张世煌 (2007). 玉米杂交种掖单13号的SSR连锁图谱构建与叶夹角和叶向值的QTL定位与分析. 遗传 29, 1131-1138.
9	唐登国 (2013). 玉米叶宽和叶长性状的QTL定位与分析. 硕士论文. 雅安: 四川农业大学. pp. 29-43.
10	于永涛, 张吉民, 石云素, 宋燕春, 王天宇, 黎裕 (2006). 利用不同群体对玉米株高和叶片夹角的QTL分析. 玉米科学 14(2), 88-92.
11	袁园园, 王丽, 赵盼盼, 王林嵩 (2016). 棉花类结瘤素MtN21基因家族生物信息学分析. 植物学报 51, 515-524.
12	张姿丽, 蒋锋, 刘鹏飞, 陈青春, 张媛, 王晓明 (2014a). 甜玉米穗位叶面积QTL定位. 湖北农业科学 53, 1502-1505.
13	张姿丽, 刘鹏飞, 蒋锋, 陈青春, 张媛, 王晓明, 王汉宁 (2014b). 基于四交群体的玉米叶夹角和叶向值QTL定位分析. 中国农业大学学报 19(4), 7-16.
14	张志腾 (2015). 玉米叶型相关性状QTL定位与分析. 硕士论文. 雅安: 四川农业大学. pp. 21-23.
15	郑祖平, 黄玉碧, 田孟良, 谭振波 (2007). 不同供氮水平下玉米株型相关性状的QTLs定位和上位性效应分析. 玉米科学 15(2), 14-18.
16	Agrama HAS, Zakaria AG, Said FB, Tuinstra M (1999). Identification of quantitative trait loci for nitrogen use efficiency in maize.Mol Breed 5, 187-195.
17	Cai HG, Chu Q, Yuan LX, Liu JC, Chen XH, Chen FJ, Mi GH, Zhang FS (2012). Identification of quantitative trait loci for leaf area and chlorophyll content in maize ( Zea mays) under low nitrogen and low phosphorus supply. Mol Breed 30, 251-266.
18	Candaele J, Demuynck K, Mosoti D, Beemster GTS, Inzé D, Nelissen H (2014). Differential methylation during maize leaf growth targets developmentally regulated ge- nes.Plant Physiol 164, 1350-1364.
19	Candela H, Johnston R, Gerhold A, Foster T, Hake S (2008). The Milkweed pod1 gene encodes a KANADI protein that is required for abaxial/adaxial patterning in maize leaves. Plant Cell 20, 2073-2087.
20	Darvasi A, Soller M (1997). A simple method to calculate resolving power and confidence interval of QTL map location.Behav Genet 27, 125-132.
21	Debernardi JM, Mecchia MA, Vercruyssen L, Smaczniak C, Kaufmann K, Inze D, Rodriguez RE, Palatnik JF (2014). Post-transcriptional control of GRF transcription factors by microRNA miR396 and GIF co-activator affects leaf size and longevity.Plant J 79, 413-426.
22	Dewitte W, Scofield S, Alcasabas AA, Maughan SC, Menges M, Braun N, Collins C, Nieuwland J, Prinsen E, Sundaresan V, Murray JAH (2007). Arabidopsis CYCD3 D-type cyclins link cell proliferation and endocycles and are rate-limiting for cytokinin responses.Proc Natl Acad Sci USA 104, 14537-14542.
23	Ding ZQ, Lin ZF, Li Q, Wu H, Xiang CY, Wang JF (2015). DNL1, encodes cellulose synthase-like D4, is a major QTL for plant height and leaf width in rice(Oryza sativa L.). Biochem Biophys Res Commun 457, 133-140.
24	Dotto MC, Petsch KA, Aukerman MJ, Beatty M, Hammell M, Timmermans MC (2014). Genome-wide analysis of leaf bladeless1-regulated and phased small RNAs underscores the importance of the TAS3 ta-siRNA pathway to maize development. PLoS Genet 10, e1004826.
25	Eloy NB, de Freitas Lima M, Van Damme D, Vanhaeren H, Gonzalez N, de Milde L, Hemerly AS, Beemster GTS, Inzé D, Ferreira PCG (2011). The APC/C subunit 10 plays an essential role in cell proliferation during leaf development. Plant J 68, 351-363.
26	Facette MR, Shen ZX, Björnsdóttir FR, Briggs SP, Smith LG (2013). Parallel proteomic and phosphoproteomic ana- lyses of successive stages of maize leaf development.Plant Cell 25, 2798-2812.
27	Fujino K, Matsuda Y, Ozawa K, Nishimura T, Koshiba T, Fraaije MW, Sekiguchi H (2008). NARROW LEAF 7 controls leaf shape mediated by auxin in rice. Mol Genet Genom 279, 499-507.
28	Goffinet B, Gerber S (2000). Quantitative trait loci: a meta- analysis.Genetics 155, 463-473.
29	Guo SL, Ku LX, Qi JS, Tian ZQ, Han T, Zhang LK, Su HH, Ren ZZ, Chen YH (2015). Genetic analysis and major quantitative trait locus mapping of leaf widths at different positions in multiple populations.PLoS One 10, e0119095.
30	Horiguchi G, Ferjani A, Fujikura U, Tsukaya H (2006). Coordination of cell proliferation and cell expansion in the control of leaf size in Arabidopsis thaliana. J Plant Res 119, 37-42.
31	Hu J, Zhu L, Zeng DL, Gao ZY, Guo LB, Fang YX, Zhang GH, Dong GJ, Yan MX, Liu J, Qian Q (2010). Identification and characterization of NARROW AND ROLLED LEAF 1, a novel gene regulating leaf morphology and plant architecture in rice. Plant Mol Biol 73, 283-292.
32	Hunter C, Willmann MR, Wu G, Yoshikawa M, de la Luz Gutiérrez-Nava M, Poethig SR (2006). Trans-acting siRNA-mediated repression of ETTIN and ARF4 regulates heteroblasty in Arabidopsis.Development 133, 2973-2981.
33	Iwakawa H, Iwasaki M, Kojima S, Ueno Y, Soma T, Tanaka H, Semiarti E, Machida Y, Machida C (2007). Expression of the ASYMMETRIC LEAVES 2 gene in the adaxial domain of Arabidopsis leaves represses cell proliferation in this domain and is critical for the development of properly expanded leaves. Plant J 51, 173-184.
34	Jun SE, Cho KH, Hwang JY, Abdel-Fattah W, Hammermeister A, Schaffrath R, Bowman JL, Kim GT (2015). Comparative analysis of the conserved functions of Arabidopsis DRL1 and yeast KTI12.Mol Cells 38, 243-250.
35	Kelley DR, Arreola A, Gallagher TL, Gasser CS (2012). ETTIN (ARF3) physically interacts with KANADI proteins to form a functional complex essential for integument deve- lopment and polarity determination in Arabidopsis.Deve- lopment 139, 1105-1109.
36	Kim GT, Tsukaya H, Uchimiya H (1998). The ROTUNDIFOLIA3 gene of Arabidopsis thaliana encodes a new member of the cytochrome P450 family that is required for the regulated polar elongation of leaf cells. Genes Dev 12, 2381-2391.
37	Kim JH, Choi D, Kende H (2003). The AtGRF family of putative transcription factors is involved in leaf and cotyledon growth in Arabidopsis.Plant J 36, 94-104.
38	Ku LX, Zhang J, Guo SL, Liu HY, Zhao RF, Chen YH (2012a). Integrated multiple population analysis of leaf architecture traits in maize (Zea mays L.). J Exp Bot 63, 261-274.
39	Ku LX, Zhang J, Zhang JC, Guo SL, Liu HY, Zhao RF, Yan QX, Chen YH (2012b). Genetic dissection of leaf area by jointing two F2:3 populations in maize (Zea mays L.). Plant Breed 131, 591-599.
78	Zhu HL, Hu FQ, Wang RH, Zhou X, Sze SH, Liou LW, Barefoot A, Dickman M, Zhang XR (2011). Arabidopsis Argonaute10 specifically sequesters miR166/165 to regulate shoot apical meristem development.Cell 145, 242-256.
40	Ku LX, Zhao WM, Zhang J, Wu LC, Wang CL, Wang PA, Zhang WQ, Chen YH (2010). Quantitative trait loci mapping of leaf angle and leaf orientation value in maize (Zea mays L.). Theor Appl Genet 121, 951-959.
41	Kubo FC, Yasui Y, Kumamaru T, Sato Y, Hirano HY (2017). Genetic analysis of rice mutants responsible for narrow leaf phenotype and reduced vein number.Genes Genet Syst 91, 235-240.

Parents	Type of Pop.	Pop. size	No. of QTL for LL	No. of QTL for LW	No. of QTL for LAr	No. of QTL for LA	No./type of marker	Analysis method	Reference
B73×G79	F_2:3	214	—	—	7	—	185/RFLP	IM	Agrama et al., 1999
B73×Mo17	RIL	180	—	—	—	9	192/SSR	CIM	Mickelson et al., 2002
H21×Mo17	F2:3	120	—	—	—	7	102/SSR	CIM	于永涛等, 2006
Zi330×K36	F2:3	114	—	—	—	2	90/SSR	CIM	于永涛等, 2006
Ye478×Dan340	F2:3	397	—	—	—	6	138/SSR	CIM	路明等, 2007
Mo17×Huangzao4	RIL	239	4	2	5	—	98/SSR	CIM	郑祖平等, 2007
Ye478×Wu312	RIL	218	—	—	7	—	184/SSR	ICIM	刘建超等, 2010
Yu82×Shen137	F2:3	229	3	4	13	3	222/SSR	CIM	Ku et al., 2010, 2012a
Yu82×Yu87-1	F2:3	256	5	5	—	5	216/SSR	CIM	Ku et al., 2012b
B73/Mo17 etc.	NAM	4892	36	34	—	30	203000/SNP	GWAS	Tian et al., 2011
N6×BT-1	RIL	250	—	—	6	—	207/SSR	CIM	李贤唐等, 2011
Y105×Y106	F2	189	5	7	6	8	215/SSR	ICIM	郭莹, 2012
Y114×Y115	F2	189	1	1	2	3	204/SSR	ICIM	郭莹, 2012
Ye478×Wu312	RIL	218	14	7	9	—	184/SSR	CIM	Cai et al., 2012
Yu82×D132	F2:3	245	—	—	18	—	204/SSR	CIM	Ku et al., 2012
B73×1212	RIL	325	67	62	—	—	208/SSR	ICIM	唐登国, 2013
B73×Mo17	RIL	93	1	2	—	3	IBM2 map	CIM	Wassom, 2013
CY5×YL106	F2:3	144	—	—	—	8	212/SSR	CIM	刘正等, 2014
Z58/87-1// PH6WC/Zi330	CP	228	—	—	—	13	225/SSR	IM	张姿丽等, 2014b
T4×T19	F2:3	232	—	—	4	—	81/SSR	CIM	张姿丽等, 2014a
Yu82×Yu87-1	RIL	208	—	18	—	—	1370/SNP	CIM	Guo et al., 2015
Yu82×Shen137	RIL	197	—	9	—	—	1411/SNP	CIM	Guo et al., 2015
Zong3×Yu87-1	RIL	223	—	10	—	—	1479/SNP	CIM	Guo et al., 2015
Yu537A×Shen137	RIL	212	—	9	—	—	1371/SNP	CIM	Guo et al., 2015
B73×Mo17	DH	221	9	17	16	12	5935/bin markers	ICIM	张志腾, 2015
Xu178×K12	RIL	150	—	—	—	34	191/SSR	CIM	常立国等, 2016
M1-7×SYF	F₂	259	—	—	36	—	218/SSR	CIM	安允权等, 2016
Yu82×D132	RIL	234	5	7	4	—	1226/SNP	CIM	Wei et al., 2016

Parents	Type of Pop.	Pop. size	No. of QTL for LL	No. of QTL for LW	No. of QTL for LAr	No. of QTL for LA	No./type of marker	Analysis method	Reference
B73×G79	F_2:3	214	—	—	7	—	185/RFLP	IM	Agrama et al., 1999
B73×Mo17	RIL	180	—	—	—	9	192/SSR	CIM	Mickelson et al., 2002
H21×Mo17	F2:3	120	—	—	—	7	102/SSR	CIM	于永涛等, 2006
Zi330×K36	F2:3	114	—	—	—	2	90/SSR	CIM	于永涛等, 2006
Ye478×Dan340	F2:3	397	—	—	—	6	138/SSR	CIM	路明等, 2007
Mo17×Huangzao4	RIL	239	4	2	5	—	98/SSR	CIM	郑祖平等, 2007
Ye478×Wu312	RIL	218	—	—	7	—	184/SSR	ICIM	刘建超等, 2010
Yu82×Shen137	F2:3	229	3	4	13	3	222/SSR	CIM	Ku et al., 2010, 2012a
Yu82×Yu87-1	F2:3	256	5	5	—	5	216/SSR	CIM	Ku et al., 2012b
B73/Mo17 etc.	NAM	4892	36	34	—	30	203000/SNP	GWAS	Tian et al., 2011
N6×BT-1	RIL	250	—	—	6	—	207/SSR	CIM	李贤唐等, 2011
Y105×Y106	F2	189	5	7	6	8	215/SSR	ICIM	郭莹, 2012
Y114×Y115	F2	189	1	1	2	3	204/SSR	ICIM	郭莹, 2012
Ye478×Wu312	RIL	218	14	7	9	—	184/SSR	CIM	Cai et al., 2012
Yu82×D132	F2:3	245	—	—	18	—	204/SSR	CIM	Ku et al., 2012
B73×1212	RIL	325	67	62	—	—	208/SSR	ICIM	唐登国, 2013
B73×Mo17	RIL	93	1	2	—	3	IBM2 map	CIM	Wassom, 2013
CY5×YL106	F2:3	144	—	—	—	8	212/SSR	CIM	刘正等, 2014
Z58/87-1// PH6WC/Zi330	CP	228	—	—	—	13	225/SSR	IM	张姿丽等, 2014b
T4×T19	F2:3	232	—	—	4	—	81/SSR	CIM	张姿丽等, 2014a
Yu82×Yu87-1	RIL	208	—	18	—	—	1370/SNP	CIM	Guo et al., 2015
Yu82×Shen137	RIL	197	—	9	—	—	1411/SNP	CIM	Guo et al., 2015
Zong3×Yu87-1	RIL	223	—	10	—	—	1479/SNP	CIM	Guo et al., 2015
Yu537A×Shen137	RIL	212	—	9	—	—	1371/SNP	CIM	Guo et al., 2015
B73×Mo17	DH	221	9	17	16	12	5935/bin markers	ICIM	张志腾, 2015
Xu178×K12	RIL	150	—	—	—	34	191/SSR	CIM	常立国等, 2016
M1-7×SYF	F₂	259	—	—	36	—	218/SSR	CIM	安允权等, 2016
Yu82×D132	RIL	234	5	7	4	—	1226/SNP	CIM	Wei et al., 2016

Bin	mQTL/QTL	CI (cM)	Candidate gene	Annotation	Homologous gene	E-value	Reference
1.02	mQTLW1-1	153.8-158.3	GRMZM2G480386	NAL7-like	Os03g0162000/YUCCA7	0	Fujino et al., 2008
1.04	q12SevLW1	270.6-286.2	GRMZM2G011483	SRL2-like	Os03g19520/SRL2	0	Liu et al., 2016
1.05	mQTLW1-2	485.9-505.6	GRMZM2G141955	YABBY6-like	Os12g42610/YAB6	3E-88	Toriba et al., 2007; Zhang et al., 2009
1.05	mQTLW1-2	485.9-505.6	GRMZM2G003509	PHB-like	AT2G34710/AtHB14	0	Kim et al., 2003; Mallory et al., 2004
1.09	mQTLW1-3	820.6-845.5	GRMZM2G018414	GRF8	AT4G37740/AtGRF2	4E-37	Debernardi et al., 2014
1.10	q4LWm139	873.7-902.1	GRMZM2G017087	KNOTTED1	AT4G08150/KN1	2E-114	Ramirez et al., 2009
			GRMZM2G178261	GRF1-like	AT2G22840/AtGRF1	2E-66	Kim et al., 2003
			GRMZM2G180246	AN3/GIF1	AT5G28640/AtAN3/GIF1	1E-36	Nelissen et al., 2015
1.11	q4LLm155	941.6-1022.3	GRMZM2G135447	OSH43-like	Os03g0771500/OsH43	4E-99	Sentoku et al., 2000
2.02	q3LAr2a	67.5-79.7	GRMZM2G174784	AP2-like	AT4G36920/AP2	7E-102	Würschum et al., 2006; Mlotshwa et al., 2006
2.02	mQTLW2-1	118.3-147.8	GRMZM2G102346	NAL1-like	Os04g52479/NAL1	0	Kubo et al., 2017
2.02	mQTLW2-1	118.3-147.8	GRMZM2G041223	GRF6	AT3G13960/AtGRF5	1E-36	Horiguchi et al., 2006; Debernardi et al., 2014
2.06	q4RLAr2	355.7-374.4	GRMZM2G444808	HYL1-like	AT1G09700/HYL1	6E-56	Liu et al., 2011
2.06	q8SecLW2	370.0-381.6	GRMZM2G083972	LNG2-like	AT3G02170/LNG2	6E-57	Lee et al., 2006
2.06	q8SecLW2	370.0-381.6	GRMZM2G161382	CYCD3;3-like	AT3G50070/CYCD3;3	5E-56	Dewitte et al., 2007
2.07	q7LL2b	450.0-461.9	GRMZM2G004619	GRF4	AT4G37740/AtGRF2	5E-28	Kim et al., 2003
2.10	q12LAr2	713.1-732.4	GRMZM2G146688	ANT-like	AT4G37750/ANT	1E-131	Mizukami and Fis- cher, 2000
3.02	q4LWm309	69.6-90.3	GRMZM2G143235	ROT3-like	AT4G36380/ROT3	1E-176	Kim et al., 1998
3.06	mQTLW3-2	368.5-390.3	GRMZM2G118250	AS2-like	AT1G65620/AS2	1E-66	Iwakawa et al., 2007
3.08	q4LWm410	613.6-653.7	GRMZM2G437460	ARF3-like	AT2G33860/ARF3/ETT	1E-169	Kelley et al., 2012
4.04	q13NLW4	220.5-230.6	GRMZM2G402653	OSH1-like	Os03g0727000/OsH1	1E-75	Matsuoka et al., 1993
4.06	mQTLW4	373.7-399.4	GRMZM2G124566	GRF9-like	AT2G36400/AtGRF3	1E-36	Kim et al., 2003
4.08	q7LL4	429.5-451.0	GRMZM2G075117	CYCD3;1-like	AT4G34160/CYCD3;1	4E-47	Dewitte et al., 2007
4.08	q7LL4	429.5-451.0	GRMZM2G105335	GRF3	AT3G13960/AtGRF5	8E-49	Horiguchi et al., 2006; Debernardi et al., 2014
5.03	q4LWm602	268.8-295.0	GRMZM2G361518	AGO10-like	AT5G43810/AGO10/ZLL	0	Zhu et al., 2011; Roodbarkelari et al., 2015
5.03	q4LLm605	280.1-296.1	GRMZM2G171349	COW1-like	AT4G34580/COW1	3E-66	Woo et al., 2007
5.06	q4LLm661	500.7-521.1	GRMZM2G034876	GRF1	AT3G13960/AtGRF5	1E-47	Horiguchi et al., 2006; Debernardi et al., 2014
5.07	mQTLW5-3	556.7-578.5	GRMZM5G893117	GRF9	AT3G13960/AtGRF5	1E-27	Horiguchi et al., 2006; Debernardi et al., 2014
6.01	q8FirLW6-1	82.3-93.9	GRMZM2G122537	PRS1-like	AT2G28610/PRS1	6E-29	Matsumoto and Ok- ada, 2001; Nakata et al., 2012
6.01	q8FirLW6-1	82.3-93.9	GRMZM2G020187	rgd1/lbl1	AT5G23570/SGS3	1E-157	Dotto et al., 2014
	mQTL/QTL	CI (cM)	Candidate gene	Annotation	Homologous gene	E-value	Reference
6.01	mQTLAr6	92.8-108.9	GRMZM2G098594	GRF14	AT3G13960/AtGRF5	1E-36	Horiguchi et al., 2006; Debernardi et al., 2014
6.02	q7PLL6	123.0-144.8	GRMZM2G073671	CYCB2;3-like	AT1G20610/CYCB2;3	1E-144	Eloy et al., 2011
6.02	q7PLL6	123.0-144.8	GRMZM2G157820	CLF-like	AT2G23380/CLF	0	Menges et al., 2005; Schatlowski et al., 2010
6.04	q4LWm706	158.2-205.1	GRMZM5G850129	GRF7	AT3G13960/AtGRF5	4E-41	Horiguchi et al., 2006; Debernardi et al., 2014
7.00	q4LWm762	8.0-93.0	GRMZM2G028041	OSH15-like	Os07g0129700/OsH15	1.E-168	Nagasaki et al., 2001
7.00	q4LWm762	8.0-93.0	GRMZM2G019200	DRL1-like	Os11g0312782/DRL1	0	Jun et al., 2015
7.02	q12EigLW7	200.7-217.9	GRMZM2G107377	CYCD3;2-like	AT5G67260/CYCD3;2	8E-49	Dewitte et al., 2007
7.02	q12FirLW7	229.3-246.3	GRMZM2G082264	mwp1	Os09g23200/SLL1/Kan1	2E-170	Candela et al., 2008
7.03	q3LW7	380.6-498.2	GRMZM2G096709	GRF10	AT4G37740/AtGRF2	4E-29	Kim et al., 2003; Deb- ernardi et al., 2014
8.08	q3LW8	599.1-603.8	GRMZM5G874163	ARF4-like	AT5G60450/ARF4	7E-120	Pekker et al., 2005; Hunter et al., 2006
9.03	mQTLW9	206.1-230.6	GRMZM2G119359	GRF12	AT2G06200/AtGRF6	1E-30	Kim et al., 2003; Liang et al., 2014
9.03	mQTLW9	206.1-230.6	GRMZM5G870176	NRL-like	Os12g36890/CSLD4	0	Hu et al., 2010
10.04	mQTLW10	295.6-327.3	GRMZM2G078641	GRF2	GRAT3G13960/AtGRF7	3E-156	Horiguchi et al., 2006; Debernardi et al., 2014
10.06	q1HNLAr10	367.0-383.9	GRMZM2G061287	CYCB2;4-like	AT1G76310/CYCB2;4	9E-148	Menges et al., 2005; Eloy et al., 2011

Bin	mQTL/QTL	CI (cM)	Candidate gene	Annotation	Homologous gene	E-value	Reference
1.02	mQTLW1-1	153.8-158.3	GRMZM2G480386	NAL7-like	Os03g0162000/YUCCA7	0	Fujino et al., 2008
1.04	q12SevLW1	270.6-286.2	GRMZM2G011483	SRL2-like	Os03g19520/SRL2	0	Liu et al., 2016
1.05	mQTLW1-2	485.9-505.6	GRMZM2G141955	YABBY6-like	Os12g42610/YAB6	3E-88	Toriba et al., 2007; Zhang et al., 2009
1.05	mQTLW1-2	485.9-505.6	GRMZM2G003509	PHB-like	AT2G34710/AtHB14	0	Kim et al., 2003; Mallory et al., 2004
1.09	mQTLW1-3	820.6-845.5	GRMZM2G018414	GRF8	AT4G37740/AtGRF2	4E-37	Debernardi et al., 2014
1.10	q4LWm139	873.7-902.1	GRMZM2G017087	KNOTTED1	AT4G08150/KN1	2E-114	Ramirez et al., 2009
			GRMZM2G178261	GRF1-like	AT2G22840/AtGRF1	2E-66	Kim et al., 2003
			GRMZM2G180246	AN3/GIF1	AT5G28640/AtAN3/GIF1	1E-36	Nelissen et al., 2015
1.11	q4LLm155	941.6-1022.3	GRMZM2G135447	OSH43-like	Os03g0771500/OsH43	4E-99	Sentoku et al., 2000
2.02	q3LAr2a	67.5-79.7	GRMZM2G174784	AP2-like	AT4G36920/AP2	7E-102	Würschum et al., 2006; Mlotshwa et al., 2006
2.02	mQTLW2-1	118.3-147.8	GRMZM2G102346	NAL1-like	Os04g52479/NAL1	0	Kubo et al., 2017
2.02	mQTLW2-1	118.3-147.8	GRMZM2G041223	GRF6	AT3G13960/AtGRF5	1E-36	Horiguchi et al., 2006; Debernardi et al., 2014
2.06	q4RLAr2	355.7-374.4	GRMZM2G444808	HYL1-like	AT1G09700/HYL1	6E-56	Liu et al., 2011
2.06	q8SecLW2	370.0-381.6	GRMZM2G083972	LNG2-like	AT3G02170/LNG2	6E-57	Lee et al., 2006
2.06	q8SecLW2	370.0-381.6	GRMZM2G161382	CYCD3;3-like	AT3G50070/CYCD3;3	5E-56	Dewitte et al., 2007
2.07	q7LL2b	450.0-461.9	GRMZM2G004619	GRF4	AT4G37740/AtGRF2	5E-28	Kim et al., 2003
2.10	q12LAr2	713.1-732.4	GRMZM2G146688	ANT-like	AT4G37750/ANT	1E-131	Mizukami and Fis- cher, 2000
3.02	q4LWm309	69.6-90.3	GRMZM2G143235	ROT3-like	AT4G36380/ROT3	1E-176	Kim et al., 1998
3.06	mQTLW3-2	368.5-390.3	GRMZM2G118250	AS2-like	AT1G65620/AS2	1E-66	Iwakawa et al., 2007
3.08	q4LWm410	613.6-653.7	GRMZM2G437460	ARF3-like	AT2G33860/ARF3/ETT	1E-169	Kelley et al., 2012
4.04	q13NLW4	220.5-230.6	GRMZM2G402653	OSH1-like	Os03g0727000/OsH1	1E-75	Matsuoka et al., 1993
4.06	mQTLW4	373.7-399.4	GRMZM2G124566	GRF9-like	AT2G36400/AtGRF3	1E-36	Kim et al., 2003
4.08	q7LL4	429.5-451.0	GRMZM2G075117	CYCD3;1-like	AT4G34160/CYCD3;1	4E-47	Dewitte et al., 2007
4.08	q7LL4	429.5-451.0	GRMZM2G105335	GRF3	AT3G13960/AtGRF5	8E-49	Horiguchi et al., 2006; Debernardi et al., 2014
5.03	q4LWm602	268.8-295.0	GRMZM2G361518	AGO10-like	AT5G43810/AGO10/ZLL	0	Zhu et al., 2011; Roodbarkelari et al., 2015
5.03	q4LLm605	280.1-296.1	GRMZM2G171349	COW1-like	AT4G34580/COW1	3E-66	Woo et al., 2007
5.06	q4LLm661	500.7-521.1	GRMZM2G034876	GRF1	AT3G13960/AtGRF5	1E-47	Horiguchi et al., 2006; Debernardi et al., 2014
5.07	mQTLW5-3	556.7-578.5	GRMZM5G893117	GRF9	AT3G13960/AtGRF5	1E-27	Horiguchi et al., 2006; Debernardi et al., 2014
6.01	q8FirLW6-1	82.3-93.9	GRMZM2G122537	PRS1-like	AT2G28610/PRS1	6E-29	Matsumoto and Ok- ada, 2001; Nakata et al., 2012
6.01	q8FirLW6-1	82.3-93.9	GRMZM2G020187	rgd1/lbl1	AT5G23570/SGS3	1E-157	Dotto et al., 2014
	mQTL/QTL	CI (cM)	Candidate gene	Annotation	Homologous gene	E-value	Reference
6.01	mQTLAr6	92.8-108.9	GRMZM2G098594	GRF14	AT3G13960/AtGRF5	1E-36	Horiguchi et al., 2006; Debernardi et al., 2014
6.02	q7PLL6	123.0-144.8	GRMZM2G073671	CYCB2;3-like	AT1G20610/CYCB2;3	1E-144	Eloy et al., 2011
6.02	q7PLL6	123.0-144.8	GRMZM2G157820	CLF-like	AT2G23380/CLF	0	Menges et al., 2005; Schatlowski et al., 2010
6.04	q4LWm706	158.2-205.1	GRMZM5G850129	GRF7	AT3G13960/AtGRF5	4E-41	Horiguchi et al., 2006; Debernardi et al., 2014
7.00	q4LWm762	8.0-93.0	GRMZM2G028041	OSH15-like	Os07g0129700/OsH15	1.E-168	Nagasaki et al., 2001
7.00	q4LWm762	8.0-93.0	GRMZM2G019200	DRL1-like	Os11g0312782/DRL1	0	Jun et al., 2015
7.02	q12EigLW7	200.7-217.9	GRMZM2G107377	CYCD3;2-like	AT5G67260/CYCD3;2	8E-49	Dewitte et al., 2007
7.02	q12FirLW7	229.3-246.3	GRMZM2G082264	mwp1	Os09g23200/SLL1/Kan1	2E-170	Candela et al., 2008
7.03	q3LW7	380.6-498.2	GRMZM2G096709	GRF10	AT4G37740/AtGRF2	4E-29	Kim et al., 2003; Deb- ernardi et al., 2014
8.08	q3LW8	599.1-603.8	GRMZM5G874163	ARF4-like	AT5G60450/ARF4	7E-120	Pekker et al., 2005; Hunter et al., 2006
9.03	mQTLW9	206.1-230.6	GRMZM2G119359	GRF12	AT2G06200/AtGRF6	1E-30	Kim et al., 2003; Liang et al., 2014
9.03	mQTLW9	206.1-230.6	GRMZM5G870176	NRL-like	Os12g36890/CSLD4	0	Hu et al., 2010
10.04	mQTLW10	295.6-327.3	GRMZM2G078641	GRF2	GRAT3G13960/AtGRF7	3E-156	Horiguchi et al., 2006; Debernardi et al., 2014
10.06	q1HNLAr10	367.0-383.9	GRMZM2G061287	CYCB2;4-like	AT1G76310/CYCB2;4	9E-148	Menges et al., 2005; Eloy et al., 2011

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玉米叶形相关性状的Meta-QTL及候选基因分析

Analysis of Meta-quantitative Trait Loci and Their Candidate Genes Related to Leaf Shape in Maize

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