小麦胚芽鞘长度QTL定位和GWAS分析

doi:10.3724/SP.J.1006.2024.31034

Abstract

Abstract:

Under drought conditions, the emergence rate of wheat (Triticum aestivum L.) can be improved by proper deep sowing. The maximum sowing depth of wheat is determined by the length of the coleoptile, so it is very important to cultivate wheat varieties with long coleoptile. In this study, a recombinant inbred line (RIL) population consisting of 275 lines derived from the cross of Doumai and Shi 4185, and 186 natural population materials were used as the experimental materials. Genotyping results of 90K SNP chip were used to identify QTL for wheat coleoptile length in three different environments. The results showed that two stable QTL sites were identified by inclusive composite interval mapping in the RIL population. The two QTL located on Chromosome 4BS (30.17-40.59 Mb) and 6BL (700.08-703.53 Mb), respectively, and explained 26.29%-28.46% and 4.16%- 4.36% of the phenotypic variance, respectively. A total of 36 stable QTL were identified in the genome-wide association study (GWAS) using the mixed linear model. They were located on Chromosome 1A (3), 1B (3), 1D (2), 2A (1), 3A (2), 3B (2), 4B (11), 5A (1), 5B (3), 6B (4), 7A (2), and 7B (2), respectively. Seven significant association loci were repeatedly detected in the three environments, three of which overlapped or were adjacent to reported loci, and the other four loci were presumed to be new loci. They were located on Chromosomes 1A (499.03 Mb), 3A (73.06 Mb), 4B (648.74-648.87 Mb), and 7A (36.31 Mb), respectively. Five candidate genes (TraesCS1A03G0748300, Rht1, TraesCS4B03G0110000, TraesCS4B03G0112200, and TraesCS7A03G0146600) were predicted. A major QTL locus on Chromosome 4BS (30.17-40.59 Mb) was identified in both RIL and natural populations, and the candidate gene Rht1 at this locus had been shown to reduce the length of wheat coleoptile. The results of this study lay a foundation for the identification of genes controlling the length of coleoptile in wheat and the maker-assisted selection breeding.

Key words: wheat, coleoptile length, QTL mapping, GWAS

HAO Qian-Lin, YANG Ting-Zhi, LYU Xin-Ru, QIN Hui-Min, WANG Ya-Lin, JIA Chen-Fei, XIA Xian-Chun, MA Wu-Jun, XU Deng-An. QTL mapping and GWAS analysis of coleoptile length in bread wheat[J].Acta Agronomica Sinica, 2024, 50(3): 590-602.

Figures/Tables 12

Table 1

Fig. 1

Fig. 2

Table 2

Fig. 3

Table 3

Table 4

Fig. 4

Fig. 5

Table 5

CL-associated loci detected in at least two environments by MLM"

环境^a Environment ^a	标记名称 Marker name	基因型^b Allele ^b	物理位置^c Physical position (Mb) ^c	P最小值^d P-value min. ^d	P最大值^d P-value max. ^d
E1/BLUE	IWB30674	G/A	1A:48.36	1.59E-04	3.16E-05
E1/E2/E3/BLUE	IWB50788	G/A	1A:499.03	6.07E-04	1.40E-04
E3/BLUE	IWA7871	G/A	1A:505.76	5.98E-04	1.23E-04
E1/E3/BLUE	IWB21039	G/A	1B:30.67	9.25E-04	1.99E-04
E3/BLUE	IWB53874	G/A	1B:588.25	2.83E-04	2.28E-04
E3/BLUE	IWB74028	G/A	1B:690.58	8.03E-04	7.03E-04
E1/BLUE	IWB18554	G/A	1D:42.77	1.00E-03	4.68E-04
E1/BLUE	IWA830	G/A	1D:43.07	1.00E-03	4.68E-04
E1/E2/BLUE	IWB64018	G/A	2A:757.65	3.83E-04	1.30E-05
E2/E3/BLUE	IWB2733	G/A	3A:72.88	8.60E-04	6.15E-04
E1/E2/E3/BLUE	IWB53051	G/A	3A:73.06	5.40E-04	1.52E-04
E1/E2/E3/BLUE	IWB24605	G/A	3B:19.95	2.26E-04	1.17E-04
E1/BLUE	IWB39644	G/A	3B:75.98	7.11E-04	5.20E-04
E1/E2/E3/BLUE	IWB49875	G/A	4B:24.28	8.57E-04	5.50E-05
E1/E2/E3/BLUE	IWB70449	G/A	4B:40.43	7.36E-04	9.01E-05
E1/E2/E3/BLUE	IWB54814	G/A	4B:40.59	3.42E-05	7.35E-06
E1/BLUE	IWA6850	G/A	4B:40.76	9.74E-04	8.55E-04
E1/E3/BLUE	IWB4719	G/A	4B:40.77	5.04E-04	1.79E-04
E1/E3/BLUE	IWB25737	G/A	4B:41.02	5.55E-04	2.55E-04
E1/BLUE	IWB40899	G/A	4B:574.98	7.29E-04	5.86E-04
E1/BLUE	IWB59718	G/A	4B:577.08	8.58E-04	8.18E-04
E1/BLUE	IWB71859	G/A	4B:578.54	9.42E-04	7.17E-04
E1/E2/E3/BLUE	IWB53155	G/A	4B:648.74	3.86E-04	5.06E-05
E1/E2/E3/BLUE	IWB42023	G/A	4B:648.87	5.14E-04	6.61E-05
E1/E3	IWB35845	G/A	5A:710.07	5.69E-04	5.66E-04
E1/BLUE	IWA6527	G/A	5B:211.64	7.49E-04	2.81E-04
E1/BLUE	IWB71849	G/A	5B:607.90	9.62E-04	2.43E-04
E/E2	IWB63425	G/A	5B:75.60	9.64E-04	9.60E-04
E2/E3	IWB62054	G/A	6B:123.26	7.01E-04	6.74E-04
E2/BLUE	IWB56800	G/A	6B:128.10	6.75E-04	4.32E-04
E2/E3	IWB68130	G/A	6B:146.70	9.96E-04	5.02E-04
E2/E3	IWB65561	G/A	6B:683.94	8.99E-04	7.31E-04
E2/E3	IWB22879	G/A	7A:31.41	7.50E-04	5.52E-04
E1/E2/E3/BLUE	IWB11001	G/A	7A:36.31	8.74E-04	4.53E-05
E3/BLUE	IWB72566	G/A	7B:203.84	9.80E-04	4.88E-04
E1/E3/BLUE	IWB11945	G/A	7B:204.38	7.06E-04	1.98E-04

Table 5

Fig. 6

Table 6

References 57

[1]	何中虎, 庄巧生, 程顺和, 于振文, 赵振东, 刘旭. 中国小麦产业发展与科技进步. 农学学报, 2018, 8(1): 107-114. doi: 10.11923/j.issn.2095-4050.cjas2018-1-107
	He Z H, Zhuang Q S, Cheng S H, Yu Z W, Zhao Z D, Liu X. Wheat production and technology improvement in China. J Agric Sci, 2018, 8(1): 107-114 (in Chinese with English abstract).
[2]	霍治军. 胚芽鞘在小麦抗旱性鉴定中的作用研究. 广西农学报, 2016, 31(3): 8-12.
	Huo Z J. Study on the role between the change of coleoptiles and drought-resistance in wheat. J Guangxi Agric, 2016, 31(3): 8-12 (in Chinese with English abstract).
[3]	Rebetzke G J, Ellis M H, Bonnett D G, Richards R A. Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theor Appl Genet, 2007, 114: 1173-1183. doi: 10.1007/s00122-007-0509-1 pmid: 17294164
[4]	Singh K, Khanna-Chopra R. Physiology and QTL analysis of coleoptile length, a trait for drought tolerance in wheat. J Plant Biol, 2010, 37: 1-9.
[5]	Yu J, Bai G. Mapping quantitative trait loci for long coleoptile in Chinese wheat landrace Wangshuibai. Crop Sci, 2010, 50: 43-50. doi: 10.2135/cropsci2009.02.0065
[6]	Schillinger W F U A, Donaldson E, Allan R E, Jones S S. Winter wheat seedling emergence from deep sowing depths. Agron J, 1998, 90: 582-586. doi: 10.2134/agronj1998.00021962009000050002x
[7]	Rebetzke G J, Richards R A, Fettell N A, Long M, Condon A G, Forrester R I, Botwright T L. Genotypic increases in coleoptile length improves stand establishment, vigour and grain yield of deep-sown wheat. Field Crops Res, 2007, 100: 10-23. doi: 10.1016/j.fcr.2006.05.001
[8]	潘前颖, 文学飞, 潘田园, 史引红, 潘田雨, 潘幸来. 小麦胚芽鞘与耐深播抗旱研究进展. 干旱地区农业研究, 2012, 30(3): 51-57.
	Pan Q Y, Wen X F, Pan T Y, Shi Y H, Pan T Y, Pan X L. Wheat coleoptile and emergence vigor and drought-resistance. Agric Res Arid Areas, 2012, 30(3): 51-57 (in Chinese).
[9]	Blackburn A, Sidhu G, Schillinger W F, Skinner D, Gill K. QTL mapping using GBS and SSR genotyping reveals genomic regions controlling wheat coleoptile length and seedling emergence. Euphytica, 2021, 217: 45. doi: 10.1007/s10681-021-02778-z
[10]	Rebetzke G J, Verbyla A P, Verbyla K L, Morell M K, Cavanagh C R. Use of a large multiparent wheat mapping population in genomic dissection of coleoptile and seedling growth. Plant Biotechnol J, 2014, 12: 219-230. doi: 10.1111/pbi.12130 pmid: 24151921
[11]	Whan B R W. The emergence of semidwarf and standard wheats, and its association with coleoptile length. Aust J Exp Biol Med Sci, 1976, 16: 411-416.
[12]	Rebetzke G J, Richards R A, Sirault X R R, Morrison A D. Genetic analysis of coleoptile length and diameter in wheat. Aust J Agric Res, 2004, 55: 733. doi: 10.1071/AR04037
[13]	Spielmeyer W, Hyles J, Joaquim P, Azanza F, Bonnett D, Ellis M E, Moore C, Richards R A. A QTL on chromosome 6A in bread wheat (Triticum aestivum) is associated with longer coleoptiles, greater seedling vigor and final plant height. Theor Appl Genet, 2007, 115: 59-66. doi: 10.1007/s00122-007-0540-2 pmid: 17429602
[14]	Singh K, Shukla S, Kadam S, Semwal V K, Singh N K, Khanna-Chopra R. Genomic regions and underlying candidate genes associated with coleoptile length under deep sowing conditions in a wheat RIL population. J Plant Biochem Biotechnol, 2015, 24: 324-330. doi: 10.1007/s13562-014-0277-3
[15]	Li G, Xu X, Bai G, Carver B F, Hunger R, Bonman J M, Kolmer J, Dong H. Genome-wide association mapping reveals novel QTL for seedling leaf rust resistance in a worldwide collection of winter wheat. Plant Genome, 2016, 9: 1-12.
[16]	Ellis M H, Rebetzke G J, Chandler P, Bonnett D, Spielmeyer W, Richards R A. The effect of different height reducing genes on the early growth of wheat. Functional Plant Biol, 2004, 31: 583-589. doi: 10.1071/FP03207
[17]	Li P J, Chen P, Wu J, Zhang C, Chu D, See G, Brown-Guedira G, Zemetra R, Souza E. Quantitative trait loci analysis for the effect of Rht-Bl dwarfing gene on coleoptile length and seedling root length and number of bread wheat. Crop Sci, 2011, 51: 2561-2568. doi: 10.2135/cropsci2011.03.0116
[18]	Alam M, Kashif M, Easterly A C, Wang F, Boehm J D, Baenziger P S. Coleoptile length comparison of three winter small grain cereals adapted to the great plains. Cereal Res Commun, 2022, 50: 127-136. doi: 10.1007/s42976-021-00151-3
[19]	Botwright T L, Rebetzke G J, Condon A G, Richards R A. Influence of the gibberellin-sensitive Rht8 dwarfing gene on leaf epidermal cell dimensions and early vigour in wheat (Triticum aestivum L.). Ann Bot, 2005, 95: 631-639. doi: 10.1093/aob/mci069
[20]	Bai G, Das M K, Carver B F, Xu X, Krenzer E G. Covariation for microsatellite marker alleles associated with Rht8 and coleoptile length in winter wheat. Crop Sci, 2004, 44: 1187-1194. doi: 10.2135/cropsci2004.1187
[21]	Xiong H, Zhou C, Fu M, Guo H, Xie Y, Zhao L, Gu J, Zhao S, Ding Y, Li Y, Zhang J, Wang K, Li X, Liu L. Cloning and functional characterization of Rht8, a “Green Revolution” replacement gene in wheat. Mol Plant, 2022, 15: 373-376. doi: 10.1016/j.molp.2022.01.014
[22]	Tian X, Xia X, Xu D, Liu Y, Xie L, Hassan M A, Song J, Li F, Wang D, Zhang Y, Hao Y, Li G, Chu C, He Z, Cao S. Rht24b, an ancient variation of TaGA2ox-A9, reduces plant height without yield penalty in wheat. New Phytol, 2022, 233: 738-750. doi: 10.1111/nph.v233.2
[23]	Borrill P, Mago R, Xu T, Ford B, Williams S J, Derkx A, Bovill W D, Hyles J, Bhatt D, Xia X, MacMillan C, White R, Buss W, Molnár I, Walkowiak S, Olsen O, Doležel J, Pozniak C J, Spielmeyer W. An autoactive NB-LRR gene causes Rht13 dwarfism in wheat. Proc Natl Acad Sci USA, 2022, 119: e2085092177.
[24]	Abdolshahi R, Foroodi-Safat S, Mokhtarifar K, Ataollahi R, Moud A M, Kazemipour A, Pourseyedi S, Rahmani A. Challenges of breeding for longer coleoptile in bread wheat (Triticum aestivum L.). Genet Resour Crop Evol, 2021, 68: 1517-1527. doi: 10.1007/s10722-020-01081-5
[25]	袁倩倩, 李卓坤, 田纪春, 韩淑晓. 不同水分胁迫下小麦胚芽鞘和胚根长度的QTL分析. 作物学报, 2011, 37: 294-301. doi: 10.3724/SP.J.1006.2011.00294
	Yuan Q Q, Li Z K, Tian J C, Han S X. QTL mapping for coleoptile length and radicle length in wheat under different simulated moisture stresses. Acta Agron Sin, 2011, 37: 294-301 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2011.00294
[26]	Zhang H, Cui F, Wang H. Detection of quantitative trait loci (QTLs) for seedling traits and drought tolerance in wheat using three related recombinant inbred line (RIL) populations. Euphytica, 2014, 196: 313-330. doi: 10.1007/s10681-013-1035-7
[27]	Ma J, Lin Y, Tang S, Duan S, Wang Q, Wu F, Li C, Jiang X, Zhou K, Liu Y. A genome-wide association study of coleoptile length in different Chinese wheat landraces. Front Plant Sci, 2020, 11: 677. doi: 10.3389/fpls.2020.00677 pmid: 32582239
[28]	Sidhu J S, Singh D, Gill H S, Brar N K, Qiu Y, Halder J, Al Tameemi R, Turnipseed B, Sehgal S K. Genome-wide association study uncovers novel genomic regions associated with coleoptile length in hard winter wheat. Front Genet, 2020, 10: 1345. doi: 10.3389/fgene.2019.01345
[29]	Wei N, Zhang S, Liu Y, Wang J, Wu B, Zhao J, Qiao L, Zheng X, Wang J, Zheng J. Genome-wide association study of coleoptile length with Shanxi wheat. Front Plant Sci, 2022, 13: 1016551. doi: 10.3389/fpls.2022.1016551
[30]	Xu D, Hao Q, Yang T, Lyu X, Qin H, Wang Y, Jia C, Liu W, Dai X, Zeng J, Zhang H, He Z, Xia X, Cao S, Ma W. Impact of “Green Revolution” gene Rht-B1b on coleoptile length of wheat. Front Plant Sci, 2023, 14: 1147019. doi: 10.3389/fpls.2023.1147019
[31]	唐斯. 中国小麦地方品种胚芽鞘生长动态的关联分析. 四川农业大学硕士学位论文, 四川成都, 2019. pp 10-13.
	Tang S. Correlation Analysis of Coleoptile Growth Dynamics of Local Wheat Varieties in China. MS Thesis of Sichuan Agricultural University, Chengdu, Sichuan, China, 2019. pp 10-13 (in Chinese with English abstract).
[32]	Yin C, Li H, Li S, Xu L, Zhao Z, Wang J. Genetic dissection on rice grain shape by the two-dimensional image analysis in one japonica × indica population consisting of recombinant inbred lines. Theor Appl Genet, 2015, 128: 1969-1986. doi: 10.1007/s00122-015-2560-7
[33]	Holland J B, Nyquist W E, Cervantes Martínez C T. Estimating and interpreting heritability for plant breeding: an update. Plant Breed Rev, 2002, 22: 9-12.
[34]	Wen W, He Z, Gao F, Liu J, Jin H, Zhai S, Qu Y, Xia X. A high-density consensus map of common wheat integrating four mapping populations scanned by the 90K SNP array. Front Plant Sci, 2017, 8: 1389. doi: 10.3389/fpls.2017.01389 pmid: 28848588
[35]	Meng L, Li H, Zhang L, Wang J. QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J, 2015, 3: 269-283. doi: 10.1016/j.cj.2015.01.001
[36]	Li H, Ye G, Wang J. A modified algorithm for the improvement of composite interval mapping. Genetics, 2007, 175: 361-374. doi: 10.1534/genetics.106.066811 pmid: 17110476
[37]	Wang S, Wong D, Forrest K, Allen A, Chao S, Huang B E, Maccaferri M, Salvi S, Milner S G, Cattivelli L, Mastrangelo A M, Whan A, Stephen S, Barker G, Wieseke R, Plieske J, Lillemo M, Mather D, Appels R, Dolferus R, Brown Guedira G, Korol A, Akhunova A R, Feuillet C, Salse J, Morgante M, Pozniak C, Luo M C, Dvorak J, Morell M, Dubcovsky J, Ganal M, Tuberosa R, Lawley C, Mikoulitch I, Cavanagh C, Edwards K J, Hayden M, Akhunov E. Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array. Plant Biotechnol J, 2014, 12: 787-796. doi: 10.1111/pbi.2014.12.issue-6
[38]	Bradbury P J, Zhang Z, Kroon D E, Casstevens T M, Ramdoss Y, Buckler E S. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics, 2007, 23: 2633-2635. doi: 10.1093/bioinformatics/btm308 pmid: 17586829
[39]	Yu J, Pressoir G, Briggs W H, Vroh Bi I, Yamasaki M, Doebley J F, Mcmullen M D, Gaut B S, Nielsen D M, Holland J B, Kresovich S, Buckler E S. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet, 2006, 38: 203-208. doi: 10.1038/ng1702 pmid: 16380716
[40]	Zhu T, Wang L, Rimbert H, Rodriguez J C, Deal K R, De Oliveira R, Choulet F, Keeble Gagnère 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. Plant J, 2021, 107: 303-314. doi: 10.1111/tpj.v107.1
[41]	Yang C, Ma B, He S, Xiong Q, Duan K, Yin C, Chen H, Lu X, Chen S, Zhang J. MAOHUZI6/ETHYLENE INSENSITIVE3- LIKE1 and ETHYLENE INSENSITIVE3-LIKE2 regulate ethylene response of roots and coleoptiles and negatively affect salt tolerance in rice. Plant Physiol, 2015, 169: 148-165. doi: 10.1104/pp.15.00353
[42]	Ma B, He S, Duan K, Yin C, Chen H, Yang C, Xiong Q, Song Q, Lu X, Chen H, Zhang W, Lu T, Chen S, Zhang J. Identification of rice ethylene-response mutants and characterization of MHZ7/ OsEIN2 in distinct ethylene response and yield trait regulation. Mol Plant, 2013, 6: 1830-1848. doi: 10.1093/mp/sst087
[43]	Ma B, Yin C, He S, Lu X, Zhang W, Lu T, Chen S, Zhang J S. Ethylene-induced inhibition of root growth requires abscisic acid function in rice (Oryza sativa L.) seedlings. PLoS Genet, 2014, 10: e1004701. doi: 10.1371/journal.pgen.1004701
[44]	Christians M J, Robles L M, Zeller S M, Larsen P B. The eer5 mutation, which affects a novel proteasome-related subunit, indicates a prominent role for the COP9 signalosome in resetting the ethylene-signaling pathway in Arabidopsis. Plant J, 2008, 55: 467-477. doi: 10.1111/tpj.2008.55.issue-3
[45]	Zhang Y, Gong S, Li Q, Sang Y, Yang H. Functional and signaling mechanism analysis of rice CRYPTOCHROME 1. Plant J, 2006, 46: 971-983. doi: 10.1111/j.1365-313X.2006.02753.x pmid: 16805731
[46]	Zeng Y, Schotte S, Trinh H K, Verstraeten I, Li J, Van de Velde E, Vanneste S, Geelen D. Genetic dissection of light-regulated adventitious root induction in Arabidopsis thaliana hypocotyls. IJMS, 2022, 23: 5301.
[47]	Stawska M, Oracz K. PhyB and HY5 are involved in the blue light-mediated alleviation of dormancy of Arabidopsis seeds possibly via the modulation of expression of genes related to light, GA, and ABA. IJMS, 2019, 20: 5882.
[48]	Choi D, Lee Y, Cho H, Kende H. Regulation of expansion gene expression affects growth and development in transgenic rice plants. Plant Cell, 2003, 15: 1386-1398. doi: 10.1105/tpc.011965
[49]	Zdanio M, Boron A K, Balcerowicz D, Schoenaers S, Markakis M N, Mouille G, Pintelon I, Suslov D, Gonneau M, Höfte H, Vissenberg K. The proline-rich family protein EXTENSIN33 is required for etiolated Arabidopsis thaliana hypocotyl growth. Plant Cell Physiol, 2020, 61: 1191-1203. doi: 10.1093/pcp/pcaa049
[50]	Jiang H, Peng K, Hsu T, Chiou Y, Hsieh H. Arabidopsis FIN219/JAR1 interacts with phytochrome A under far-red light and jasmonates in regulating hypocotyl elongation via a functional demand manner. PLoS Genet, 2023, 19: e1010779. doi: 10.1371/journal.pgen.1010779
[51]	Perrella G, Davidson M L H, O Donnell L, Nastase A, Herzyk P, Breton G, Pruneda-Paz J L, Kay S A, Chory J, Kaiserli E. ZINC-FINGER interactions mediate transcriptional regulation of hypocotyl growth in Arabidopsis. Proc Natl Acad Sci USA, 2018, 115: 4503-4511. doi: 10.1073/pnas.1718099115 pmid: 29686058
[52]	Murphy K, Balow K, Lyon S R, Jones S S. Response to selection, combining ability and heritability of coleoptile length in winter wheat. Euphytica, 2008, 164: 709-718. doi: 10.1007/s10681-008-9692-7
[53]	Zhang N, Pan R Q, Liu J J, Zhang X L, Su Q N, Cui F, Zhao C H, Song L Q, Ji J, Li J M. QTL for sensitivity of seedling height to exogenous GA₃ and their effects on adult plant height in common wheat. Cereal Res Commun, 2018, 46: 412-423. doi: 10.1556/0806.46.2018.021
[54]	Francki M G, Stainer G S, Walker E, Rebetzke G J, Stefanova K T, French R J. Phenotypic evaluation and genetic analysis of seedling emergence in a global collection of wheat genotypes (Triticum aestivum L.) under limited water availability. Front Plant Sci, 2021, 12: 796176. doi: 10.3389/fpls.2021.796176
[55]	Nagel M, Navakode S, Scheibal V, Baum M, Nachit M, Röder M S, Börner A. The genetic basis of durum wheat germination and seedling growth under osmotic stress. Biol Plant, 2014, 58: 681-688. doi: 10.1007/s10535-014-0436-3
[56]	Rebetzke G J, Appels R, Morrison A D, Richards R A, McDonald G, Ellis M H, Spielmeyer W, Bonnett D G. Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.). Aust J Agric Res, 2001, 52: 1221. doi: 10.1071/AR01042
[57]	Lin Q, Gong J, Zhang Z, Meng Z, Wang J, Wang S, Sun J, Gu X, Jin Y, Wu T, Yan N, Wang Y, Kai L, Jiang J, Qi S. The Arabidopsis thaliana trehalose-6-phosphate phosphatase gene AtTPPI regulates primary root growth and lateral root elongation. Front Plant Sci, 2023, 13: 1088278. doi: 10.3389/fpls.2022.1088278

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环境 Environment	亲本 Parents		RIL家系 RIL lines
环境 Environment	豆麦 Doumai	石4185 Shi 4185	最小值 Min.	最大值 Max.	均值 Mean	标准差 SD	变异系数 CV (%)
E1	5.41	4.49	2.88	6.33	4.32	0.57	13.31
E2	5.65	4.57	3.23	6.16	4.29	0.56	13.06
E3	5.16	4.54	3.10	6.21	4.27	0.58	13.50
BLUE	5.40	4.54	3.14	6.20	4.29	0.55	12.76

环境 Environment	相关系数 Correlation coefficient			广义遗传力 H²
环境 Environment	E1	E2	E3	广义遗传力 H²
E1	1			0.92
E2	0.89^**	1
E3	0.80^**	0.88^**	1

数量性状位点^a QTL ^a	环境 Environment	侧翼标记 Flanking marker	物理区间^b Physiol interval (Mb) ^b	LOD值^c LOD value ^c	贡献率 PVE (%)	加性效应 Add
QCL.qau-4BS	E1	IWA102-IWB54814	30.17-40.59	18.43	27.84	0.32
	E2	IWA102-IWB54814	30.17-40.59	15.51	26.29	0.30
	E3	IWA102-IWB54814	30.17-40.59	16.99	26.66	0.31
	BLUE	IWA102-IWB54814	30.17-40.59	19.32	28.46	0.31
QCL.qau-6BL	E1	IWB19986-IWB35852	702.16-703.53	3.15	4.16	-0.12
	E3	IWB63870-IWB19986	700.08-702.16	3.02	4.36	-0.12
	BLUE	IWB19986-IWB35852	702.16-703.53	15.03	20.97	-0.25

环境 Environment	均值 Mean	标准差 SD	变异系数 CV (%)	相关系数 Correlation coefficient			遗传力 H²
环境 Environment	均值 Mean	标准差 SD	变异系数 CV (%)	E1	E2	E3	遗传力 H²
E1	3.98	0.55	13.74	1			0.91
E2	4.01	0.56	14.07	0.94^**	1
E3	4.03	0.57	14.25	0.93^**	0.93^**	1
BLUE	4.01	0.55	13.70

标记名称 Marker name	标记物理位置^a Position (Mb)^a	基因名称^b Gene name^b	基因物理位置^c Position (Mb)^c	同源基因^d Homologs ^d	基因功能 Gene function
IWB50788	1A:499.03	1A03G0748300	1A:496.71	OsEXP4^[48]	Alpha-expansin OsEXPA4
IWB70449	4B:40.43	Rht1	4B:33.61		DELLA protein
IWB54814	4B:40.59	4B03G0110000	4B:42.02	AT5G39760^[50]	Zinc finger homeodomain protein
IWB54814	4B:40.59	4B03G0112200	4B:43.56	AT1G09570^[51]	Phytochrome A
IWB11001	7A:36.31	7A03G0146600	7A:32.23	AT5G13320^[52]	Auxin-responsive GH3 protein

QTL mapping and GWAS analysis of coleoptile length in bread wheat

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