基于120K液相芯片的小麦株高及节间长度QTL新位点鉴定

doi:10.3724/SP.J.1006.2026.61035

作物学报 ›› 2026, Vol. 52 ›› Issue (11): 3182-3201.doi: 10.3724/SP.J.1006.2026.61035

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

基于120K液相芯片的小麦株高及节间长度QTL新位点鉴定

关攀锋¹，葛帅¹，万紫栋¹，李盟欣¹，汪欣燕¹，卢家玲¹，朱育攀¹，李兵¹，许航博¹，马若男¹，焦浈¹，魏文辉^2,*，崔东洁^1,*

1郑州大学农业与生物制造学院 / 河南省离子束绿色农业生物工程重点实验室，河南郑州450001; 2昭通学院农学与生命科学学院，云南昭通657000

收稿日期:2026-04-30 修回日期:2026-08-21 接受日期:2026-08-21 出版日期:2026-11-12 网络出版日期:2026-09-01
通讯作者: 崔东洁, E-mail: cuidongjie0323@zzu.edu.cn; 魏文辉, E-mail: 20240001@ztu.edu.cn
基金资助:
本研究由河南省科技攻关项目(242102111135), 河南省自然科学基金项目(242300421543)和中国博士后科学基金项目(2024M752946)资助。

Identification of novel QTL for plant height and internode length in wheat based on a 120K liquid-phase chip

Guan Pan-Feng¹,Ge Shuai¹,Wan Zi-Dong¹,Li Meng-Xin¹,Wang Xin-Yan¹,Lu Jia-Ling¹,Zhu Yu-Pan¹,Li Bing¹,Xu Hang-Bo¹,Ma Ruo-Nan¹,Jiao Zhen¹,Wei Wen-Hui^2,*,Cui Dong-Jie^1,*

1 School of Agriculture and Biomanufacturing, Zhengzhou University / Henan Key Laboratory of Ion-beam Green Agriculture Bioengineering, Zhengzhou 450001, Henan, China; 2 College of Agronomy and Life Sciences, Zhaotong University, Zhaotong 657000, Yunnan, China

Received:2026-04-30 Revised:2026-08-21 Accepted:2026-08-21 Published:2026-11-12 Published online:2026-09-01
Supported by:
This study was supported by the Scientific and Technological Research Project of Henan Province of China (242102111135), the Natural Science Foundation of Henan Province of China (242300421543), and the China Postdoctoral Science Foundation (2024M752946).

摘要/Abstract

摘要： 株高是影响小麦株型和产量潜力的重要农艺性状。适宜的株高和节间长度组成，不仅可以增强抗倒伏能力，还有助于提高收获指数，是实现小麦高产稳产的重要保障。为进一步挖掘新的控制小麦株高及其构成因子的数量性状新位点，本研究以我国小麦骨干亲本百农矮抗58 (AK58)为母本、国外引进材料郑引麦2号(ZYM2)为父本，构建了包含183个家系的重组自交系(RIL)群体(AK58/ZYM2-RIL)。结合小麦120K液相芯片(120K-4HWA)基因型分析及构建的高密度遗传连锁图谱，与连续3年6个大田环境下的表型鉴定值，对AK58/ZYM2-RIL群体的株高及5个节间长度开展全基因组QTL分析。结果显示，在2D、4B、4D、5A、6A、6B和7A染色体上检测到33个控制株高及节间长度的稳定主效QTL，可解释2.8%~50.4%的表型变异，其中，24个降低株高与节间长度的等位变异来源于AK58。加性效应分析结果表明，矮秆有利等位基因数目的聚合可以显著降低株高与各节间长度。利用小麦整合基因调控网络(wGRN)的功能基因发掘交互式分析平台，对稳定主效QTL区间内的候选基因进行预测，共筛选出25个潜在候选基因，包含“绿色革命”基因Rht1和Rht2。利用功能分子标记对QPh.zzu.4B.2、QPh.zzu.4D.1和QPh.zzu.2D.2区间内的候选基因Rht1、Rht2和Rht8进行了基因型分析，并结合剩余杂合系衍生的Rht1基因的近等基因系，验证了其遗传效应。同时，针对5A染色体长臂上鉴定到的控制株高和节间长度的稳定QTL新位点QPh.zzu.5A.4/QIl2.zzu.5A.2，开发了竞争性等位基因特异性PCR (KASP)标记，用于分子标记辅助选择育种。综上，本研究为小麦株高及其构成因子的遗传基础解析提供了新的QTL位点、候选基因和育种应用的功能分子标记。

关键词: 小麦, 株高, 节间长度, 120K液相芯片, QTL, 候选基因, KASP标记

Abstract: Plant height (PH) is a crucial agronomic trait that influences plant architecture and yield potential in wheat. An appropriate combination of PH and internode length (IL) not only enhances lodging resistance but also contributes to a higher harvest index, helping ensure high and stable yields. To further identify novel quantitative trait loci (QTL) controlling wheat PH and its components, a recombinant inbred line (RIL) population (AK58/ZYM2-RIL) comprising 183 lines was developed using the Chinese elite wheat variety Bainong Aikang 58 (AK58) as the maternal parent and the introduced variety Zhengyinmai 2 (ZYM2) as the paternal parent. A high-density genetic linkage map was constructed using the wheat 120K liquid-phase chip (120K-4HWA) genotyping data. Using phenotypic values from six field environments over three consecutive years, a genome-wide QTL analysis was conducted for PH and the five ILs in the AK58/ZYM2-RIL population. A total of 33 stable major QTL controlling PH and IL were detected on chromosomes 2D, 4B, 4D, 5A, 6A, 6B, and 7A, explaining 2.8% to 50.4% of the phenotypic variation. Among these, 24 allelic variations that reduced PH and IL originated from AK58. Additive effect analysis indicated that pyramiding favorable dwarfing alleles significantly reduced PH and each IL. The interactive functional gene discovery platform based on the wheat integrative regulatory network (wGRN) was used to predict candidate genes within stable major QTL intervals. A total of 25 potential candidate genes were identified, including the “Green Revolution” genes Rht1 and Rht2. Functional molecular markers were used to genotype Rht1, Rht2, and Rht8 within the intervals of QPh.zzu.4B.2, QPh.zzu.4D.1, and QPh.zzu.2D.2, respectively. The genetic effects of the Rht1 gene were verified using its near-isogenic lines, which were derived from a residual heterozygous line (RHL). Moreover, a competitive allele-specific PCR (KASP) marker was developed for the novel stable QTL QPh.zzu.5A.4/QIl2.zzu.5A.2 on chromosome 5AL controlling PH and IL for use in marker-assisted breeding. Overall, this study provides novel QTL and candidate genes for elucidating the genetic basis of wheat PH and its components, as well as functional molecular markers for breeding applications.

Key words: wheat, plant height, internode length, 120K liquid-phase chip, QTL, candidate gene, KASP marker

关攀锋, 葛帅, 万紫栋, 李盟欣, 汪欣燕, 卢家玲, 朱育攀, 李兵, 许航博, 马若男, 焦浈, 魏文辉, 崔东洁. 基于120K液相芯片的小麦株高及节间长度QTL新位点鉴定[J]. 作物学报, 2026, 52(11): 3182-3201.

Guan Pan-Feng, Ge Shuai, Wan Zi-Dong, Li Meng-Xin, Wang Xin-Yan, Lu Jia-Ling, Zhu Yu-Pan, Li Bing, Xu Hang-Bo, Ma Ruo-Nan, Jiao Zhen, Wei Wen-Hui, Cui Dong-Jie. Identification of novel QTL for plant height and internode length in wheat based on a 120K liquid-phase chip[J]. Acta Agronomica Sinica, 2026, 52(11): 3182-3201.

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链接本文: https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2026.61035

https://zwxb.chinacrops.org/CN/Y2026/V52/I11/3182

参考文献

[1] 李海泳, 殷贵鸿. 从国家粮食安全角度探讨我国小麦育种发展趋势. 江苏农业科学, 2022, 50(18): 36–41.
Li H Y, Yin G H. On development trend of China’s wheat breeding from perspective of national grain security. Jiangsu Agric Sci, 2022, 50(18): 36–41 (in Chinese).

[2] 王敏, 李进永, 郭红, 等. 小麦育种发展历程与研究进展. 安徽农业科学, 2025, 53(21): 11–13.
Wang M, Li J Y, Guo H, et al. The development history and research progress of wheat breeding. J Anhui Agric Sci, 2025, 53(21): 11–13 (in Chinese with English abstract).

[3] 何中虎, 庄巧生, 程顺和, 等. 中国小麦产业发展与科技进步. 农学学报, 2018, 8(1): 99–106.
He Z H, Zhuang Q S, Cheng S H, et al. Wheat production and technology improvement in China. J Agric, 2018, 8(1): 99–106 (in Chinese with English abstract).

[4] 闫勇, 宋雷, 宋印明, 等. 应对极端天气频发的小麦新品种选育方法——以龙堂一号为例. 山西农业科学, 2023, 51: 1353–1359.
Yan Y, Song L, Song Y M, et al. Breeding methods of new wheat varieties in response to frequent extreme weather—taking longtang 1 as an example. J Shanxi Agric Sci, 2023, 51: 1353–1359 (in Chinese with English abstract).

[5] Mathan J, Bhattacharya J, Ranjan A. Enhancing crop yield by optimizing plant developmental features. Development, 2016, 143: 3283–3294.

[6] Huang S B, Gao Y B, Li Y B, et al. Influence of plant architecture on maize physiology and yield in the Heilonggang River valley. Crop J, 2017, 5: 52–62.

[7] Hedden P. The genes of the green revolution. Trends Genet, 2003, 19: 5–9.

[8] Pingali P L. Green revolution: impacts, limits, and the path ahead. Proc Natl Acad Sci USA, 2012, 109: 12302–12308.

[9] 吕广德, 靳雪梅, 郭营, 等. 小麦株高分子遗传学研究进展. 植物遗传资源学报, 2021, 22: 571–582.
Lyu G D, Jin X M, Guo Y, et al. Advances in molecular genetics of wheat plant height. J Plant Genet Resour, 2021, 22: 571–582 (in Chinese with English abstract).

[10] Peng J R, Richards D E, Hartley N M, et al. ‘Green revolution’ genes encode mutant gibberellin response modulators. Nature, 1999, 400: 256–261.

[11] 李彩华, 赵彦坤, 李占坤, 等. 小麦矮秆基因研究进展. 生物技术进展, 2024, 14: 980–992.
Li C H, Zhao Y K, Li Z K, et al. Research progress on Rht genes in wheat. Curr Biotechnol, 2024, 14: 980–992 (in Chinese with English abstract).

[12] Xu D A, Jia C F, Lyu X R, et al. In silico curation of QTL-rich clusters and candidate gene identification for plant height of bread wheat. Crop J, 2023, 11: 1480–1490.

[13] Cui F, Li J, Ding A M, et al. Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet, 2011, 122: 1517–1536.

[14] Liu X L, Zheng S S, Tian S Q, et al. Natural variant of Rht27, a dwarfing gene, enhances yield potential in wheat. Theor Appl Genet, 2024, 137: 128.

[15] Liu Z, Zhu J J, Zhao Q Y, et al. Genetic mapping and isolation of Rht28, a locus on wheat chromosome arm 2AL affecting plant height, grain size, and grain weight. Theor Appl Genet, 2025, 138: 218.

[16] Song J, Li L, Liu B Y, et al. Fine mapping of reduced height locus RHT26 in common wheat. Theor Appl Genet, 2023, 136: 62.

[17] 王刚, 胡铁柱, 李小军, 等. 小麦新品种百农矮抗58及其亲本矮秆基因的检测. 河南农业科学, 2012, 41(9): 22–25.
Wang G, Hu T Z, Li X J, et al. Detection of dwarfing genes in wheat variety AK58 and its parents. J Henan Agric Sci, 2012, 41(9): 22–25 (in Chinese with English abstract).

[18] Xu Y Z, St Amand P, Chai L L, et al. Development and validation of diagnostic markers for the reduced height gene Rht8 in wheat. Crop Sci, 2024, 64: 278–286.

[19] Meng L, Li H H, Zhang L Y, et al. QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J, 2015, 3: 269–283.

[20] Boden S A, McIntosh R A, Uauy C, et al. Updated guidelines for gene nomenclature in wheat. Theor Appl Genet, 2023, 136: 72.

[21] Ma S W, Wang M, Wu J H, et al. WheatOmics: a platform combining multiple omics data to accelerate functional genomics studies in wheat. Mol Plant, 2021, 14: 1965–1968.

[22] Chen Y M, Song W J, Xie X M, et al. A collinearity-incorporating homology inference strategy for connecting emerging assemblies in the triticeae tribe as a pilot practice in the plant pangenomic era. Mol Plant, 2020, 13: 1694–1708.

[23] Chen Y M, Guo Y W, Guan P F, et al. A wheat integrative regulatory network from large-scale complementary functional datasets enables trait-associated gene discovery for crop improvement. Mol Plant, 2023, 16: 393–414.

[24] Guan P F, Lu L H, Jia L J, et al. Global QTL analysis identifies genomic regions on chromosomes 4A and 4B harboring stable loci for yield-related traits across different environments in wheat (Triticum aestivum L.). Front Plant Sci, 2018, 9: 529.

[25] Addison C K, Mason R E, Brown-Guedira G, et al. QTL and major genes influencing grain yield potential in soft red winter wheat adapted to the southern United States. Euphytica, 2016, 209: 665–677.

[26] Zhai H J, Feng Z Y, Li J, et al. 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. Front Plant Sci, 2016, 7: 1617.

[27] Li A L, Hao C Y, Wang Z Y, et al. Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield. Mol Plant, 2022, 15: 504–519.

[28] Zanke C D, Ling J, Plieske J, et al. Whole genome association mapping of plant height in winter wheat (Triticum aestivum L.). PLoS One, 2014, 9: e113287.

[29] Zhao C H, Zhang N, Wu Y Z, et al. QTL for spike-layer uniformity and their influence on yield-related traits in wheat. BMC Genet, 2019, 20: 23.

[30] Zhang J N, Hao C Y, Ren Q, et al. Association mapping of dynamic developmental plant height in common wheat. Planta, 2011, 234: 891–902.

[31] Zhang N, Fan X L, Cui F, et al. Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits. Theor Appl Genet, 2017, 130: 1235–1252.

[32] Wu X S, Chang X P, Jing R L. Genetic insight into yield-associated traits of wheat grown in multiple rain-fed environments. PLoS One, 2012, 7: e31249.

[33] 董连生. 2019–2023年国审小麦品种生育期、株高与品质的变化趋势分析. 安徽农学通报, 2024, 30(6): 5–12.
Dong L S. Analysis of the changes in growth period, plant height, and quality of wheat varieties under national examination from 2019 to 2023. Anhui Agric Sci Bull, 2024, 30(6): 5–12 (in Chinese with English abstract).

[34] 吴柳格, 陈坚, 张鑫, 等. 近二十年国审冬小麦品种的产量与品质性状变化趋势研究. 作物学报, 2025, 51: 1814–1826.
Wu L G, Chen J, Zhang X, et al. Changes in yield and quality traits of nationally approved winter wheat varieties in China over last twenty years. Acta Agron Sin, 2025, 51: 1814–1826 (in Chinese with English abstract).

[35] 向爱慧, 白荣基, 郝宇琼, 等. 山西小麦矮秆基因的鉴定及株高遗传位点挖掘. 中国农业科学, 2025, 58: 3372–3388.
Xiang A H, Bai R J, Hao Y Q, et al. Identification of dwarf genes and mining of plant height genetic loci in Shanxi wheat. Sci Agric Sin, 2025, 58: 3372–3388 (in Chinese with English abstract).

[36] Jia J Z, Zhao G Y, Li D P, et al. Genome resources for the elite bread wheat cultivar Aikang 58 and mining of elite homeologous haplotypes for accelerating wheat improvement. Mol Plant, 2023, 16: 1893–1910.

[37] Xu Q, Xu F C, Qin D D, et al. Molecular mapping of QTLs conferring Fusarium head blight resistance in Chinese wheat cultivar Jingzhou 66. Plants, 2020, 9: 1021.

[38] Li X M, Xia X C, Xiao Y G, et al. QTL mapping for plant height and yield components in common wheat under water-limited and full irrigation environments. Crop Pasture Sci, 2015, 66: 660–670.

[39] 徐鑫, 张德华, 李小军, 等. 小麦品种‘矮抗58’主要农艺性状相关基因位点解析. 河北农业大学学报, 2020, 43(6): 1–5.
Xu X, Zhang D H, Li X J, et al. Detection of genetic loci associated with main agronomic characters of wheat cultivar ‘Aikang 58’. J Hebei Agric Univ, 2020, 43(6): 1–5 (in Chinese with English abstract).

[40] McMullen M D, Kresovich S, Villeda H S, et al. Genetic properties of the maize nested association mapping population. Science, 2009, 325: 737–740.

[41] Kidane Y G, Gesesse C A, Hailemariam B N, et al. A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat. Plant Biotechnol J, 2019, 17: 1380–1393.

[42] Wang Z H, Miao L F, Chen Y M, et al. Deciphering the evolution and complexity of wheat germplasm from a genomic perspective. J Genet Genom, 2023, 50: 846–860.

[43] Yao Y Y, Guo W L, Gou J Y, et al. Wheat2035: integrating pan-omics and advanced biotechnology for future wheat design. Mol Plant, 2025, 18: 272–297.

[44] Gupta P K. Twenty years of wheat genomics (2005–2025). Trends Plant Sci, 2026: 31: 521–524.

[45] 杨芳萍, 夏先春, 张勇, 等. 春化、光周期和矮秆基因在不同国家小麦品种中的分布及其效应. 作物学报, 2012, 38: 1155–1166.
Yang F P, Xia X C, Zhang Y, et al. Distribution of allelic variation for vernalization, photoperiod, and dwarfing genes and their effects on growth period and plant height among cultivars from major wheat producing countries. Acta Agron Sin, 2012, 38: 1155–1166 (in Chinese with English abstract).

[46] 牟丽明, 田秀苓, 刘丹, 等. 普通小麦4个主要矮秆基因的分子检测. 西北农业学报, 2022, 31: 830–836.
Mu L M, Tian X L, Liu D, et al. Molecular detection of four main dwarfing genes in common wheat. Acta Agric Boreali-Occidentalis Sin, 2022, 31: 830–836 (in Chinese with English abstract).

[47] 关攀锋, 崔东洁, 马香花, 等. 小麦新品种郑大181优异功能基因组成解析. 山西农业科学, 2025, 53(2): 101–112.
Guan P F, Cui D J, Ma X H, et al. Composition analysis of superior alleles of functional genes in new wheat variety Zhengda 181. J Shanxi Agric Sci, 2025, 53(2): 101–112 (in Chinese with English abstract).

[48] Xiong H C, Zhou C Y, Fu M Y, et al. Cloning and functional characterization of Rht8, a “Green Revolution” replacement gene in wheat. Mol Plant, 2022, 15: 373–376.

[49] Chai L L, Xin M M, Dong C Q, et al. A natural variation in Ribonuclease H-like gene underlies Rht8 to confer “Green Revolution” trait in wheat. Mol Plant, 2022, 15: 377–380.

[50] Shaheen A, Li Z, Yang Y Y, et al. Genetic regulation of wheat plant architecture and future prospects for its improvement. New Crops, 2025, 2: 100048.

[51] Fu M X, Liu S S, Che Y Q, et al. Genome-editing of a circadian clock gene TaPRR95 facilitates wheat peduncle growth and heading date. J Genet Genom, 2024, 51: 1101–1110.

[52] Du D J, Li Z J, Yuan J, et al. The TaWAK2-TaNAL1-TaDST pathway regulates leaf width via cytokinin signaling in wheat. Sci Adv, 2024, 10: eadp5541.

[53] Hirose F, Inagaki N, Hanada A, et al. Cryptochrome and phytochrome cooperatively but independently reduce active gibberellin content in rice seedlings under light irradiation. Plant Cell Physiol, 2012, 53: 1570–1582.

[54] Shao Y L, Zhou H Z, Wu Y R, et al. OsSPL3, an SBP-Domain protein, regulates crown root development in rice. Plant Cell, 2019, 31: 1257–1275.

[55] Tian X L, Wen W E, Xie L, et al. Molecular mapping of reduced plant height gene Rht24 in bread wheat. Front Plant Sci, 2017, 8: 1379.

[56] Tian X L, Xia X C, Xu D A, et al. Rht24b, an ancient variation of TaGA2ox-A9, reduces plant height without yield penalty in wheat. New Phytol, 2022, 233: 738–750.

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基于120K液相芯片的小麦株高及节间长度QTL新位点鉴定

Identification of novel QTL for plant height and internode length in wheat based on a 120K liquid-phase chip

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[10]	王碧胜, 孙筱璐, 崔玉莎, 赵中情, 马青敏, 丁鹤洋, 房全孝. 冬小麦产量形成对播种密度及行距的响应模拟改进与验证[J]. 作物学报, 2026, 52(8): 2438-2453.
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[12]	王雅枫, 南运有, 张欢欢, 张刁亮, 江龙秀, 朱东阳, 李含婷, 柴强, 胡发龙, 殷文, 樊志龙. 春小麦氮素利用对绿肥联合麦秸还田及施氮量的响应[J]. 作物学报, 2026, 52(8): 2410-2423.
[13]	金海润, 欧阳青静, 龙旭, 晏中彬, 鲁海瑞, 古开烨, 田恩堂. 甘蓝型油菜种质资源菌核病抗性鉴定与候选基因筛选[J]. 作物学报, 2026, 52(7): 2027-2044.
[14]	姜宇凡, 杨婉晴, 邓元凯, 蒋俊龙, 王若禹, 陈泠, 宁强, 刘易科, 朱展望, 何中虎, 郝元峰, 方正武, 丁富功. 基于小麦RIL群体籽粒相关性状的QTL定位与验证[J]. 作物学报, 2026, 52(7): 1997-2012.
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