水旱条件下小麦持绿相关性状QTL定位

doi:10.3724/SP.J.1006.2024.41022

Abstract

Abstract:

Drought is the primary abiotic stress that significantly affects wheat production. Extending the duration of leaf greenness, thereby increasing photosynthetic time and efficiency, is crucial for wheat in ensuring organic matter accumulation under drought stress and ultimately stabilizing wheat yield. Understanding the developmental and genetic characteristics of flag leaf greenness retention in wheat and identifying stable molecular markers closely associated with greenness-related genes, independent of environmental influences, can significantly accelerate the breeding process for drought resistance. In this study, we utilized a DH population consisting of 174 lines derived from Yangmai 16 and Zhongmai 895 as experimental materials. We conducted phenotypic evaluations of the percentage of green leaf area (GLA) and relative chlorophyll content (SPAD value) in flag leaves at 10 d, 14 d, 18 d, 22 d, 26 d, and 30 d post-flowering under two moisture environments: normal drip irrigation (NI) and drought stress (DS). We simulated the change in GLA using the Gompertz model and performed QTL mapping for eleven greenness-related traits, including time to maximum senescence rate (TMRS), green leaf area duration (GLAD), average senescence rate (ARS), time to the beginning of rapid senescence (T1), time to the end of rapid senescence (T2), and the dynamic SPAD value of the flag leaf. The results revealed a phenomenon of transgressive segregation in GLA, aging characteristic parameters, and dynamic SPAD values of the DH population and parents under both well-watered and drought conditions, demonstrating certain differences. A consistent trend of slow-rapid-slow decline in GLA was observed at different time points across all families and parents, with rapid senescence primarily occurring at 18 d 22 d, and 26 d Except for the negative correlation between ARS and GLA-10D, positive correlations were observed among all other traits. The heritability of each trait ranged from 0.50 to 0.81. Linkage analysis identified a total of 27 stable loci associated with greenness retention in wheat across two or more environments. Among these, 11 loci were associated with wheat senescence characterization trait parameters, and 16 loci were associated with dynamic SPAD values of the flag leaf. These loci were distributed on chromosomes 1A, 1B, 4B, 4D, 5D, 7B, and 7D, explaining 3.86%?14.11% and 2.99%?17.45% of the phenotypic variance, respectively. One QTL regulating T1 and five SPAD values on chromosomes 4B, 4D, and 7B were consistently detected across the three environments, explaining 8.97%?14.11% and 6.85%?17.45% of the phenotypic variance, respectively. The results of QTL co-localization effect analysis revealed that loci containing Rht-D1b and AA genotypes exhibited significant enhancement and cumulative effects on SPAD-10D, while loci containing GG and TT genotypes showed significant enhancement and cumulative effects on SPAD-18D. Four QTL clusters with significant effects were identified on chromosomes 4B, 4D, 7B, and 7D. Notably, the segment of the QTL cluster on chromosome 4D (18.80?28.58 Mb) remained unaffected by water availability and contained the Rht-D1 gene. The loci regulating SPAD-0D and SPAD-10D might be influenced by the multiplicative effect of this gene. Candidate gene analysis identified eight candidate genes, such as TraesCS4D01G054000, TraesCS1B01G434300, and TraesCS7B01G010200, which are associated with greenness retention. These findings provide a theoretical foundation for molecular marker-assisted breeding aimed at improving greenness retention in wheat.

Key words: wheat, stay-green-related traits, QTL localization, convergent effect, candidate genes

CHEN Chen, CHENG Yu-Kun, WANG Wei, REN Yi, ZHANG Hai-Yan, CHEN Hui-Bo, GENG Hong-Wei. QTL mapping of stay-green-related traits in wheat under drought condition[J].Acta Agronomica Sinica, 0, (): 0-.

References

[1] Tester M, Langridge P. Breeding technologies to increase crop production in a changing world. Science, 2010, 327: 818‒822.

[2] Ahmed H G M, Zeng Y, Shah A N, Yar M M, Ullah A, Ali M. Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices. Front Plant Sci, 2022, 13: 961049.

[3] Mantri N, Patade V, Penna S, Ford R, Pang E. Abiotic stress responses in plants: present and future. New York: Springer, 2011. pp 1‒19.

[4] Biswal A K, Kohli A. Cereal flag leaf adaptations for grain yield under drought: knowledge status and gaps. Mol Breed, 2013, 31: 749‒766.

[5] 杨斌, 闫雪, 温宏伟, 王曙光, 逯腊虎, 范华, 景蕊莲, 孙黛珍. 不同水分条件下小麦持绿表型性状评价及其与产量相关性研究. 作物杂志, 2020, (4): 45‒52.

Yang B, Yan X, Wen H W, Wang S G, Lu L H, Fan H, Jing R L, Sun D Z. Study on the evaluation of stay-green traits of wheat and its correlation with yield-related traits under different water conditions. Crops, 2020, (4): 45‒52 (in Chinese with English abstract).

[6] 杜燕, 孙黛珍, 王曙光, 史雨刚, 杨进文. 小麦品种持绿性与农艺性状及产量性状相关分析. 山西农业科学, 2021, 49: 699‒704.

Du Y, Sun D Z, Wang S G, Shi Y G, Yang J W. Correlation analysis of stay-green with agronomic characters and yield characters of wheat varieties. J Shanxi Agric Sin, 2021, 49: 699‒704 (in Chinese with English abstract).

[7] Zhang K, Zhang Y, Chen G, Tian J. Genetic analysis of grain yield and leaf chlorophyll content in common wheat. Cereal Res Commun, 2009, 37: 499‒511.

[8] 吕国锋, 范金平, 张伯桥, 高德荣, 王慧, 刘业宇, 吴素兰, 程凯, 王秀娥. 小麦旗叶衰老过程不同数学模型拟合比较及衰老特征分析. 作物学报, 2019, 45: 144‒152.

Lyu G F, Fan J P, Zhang B Q, Gao D R, Wang H, Liu Y Y, Wu S L, Cheng K, Wang X E. Comparison of different mathematical models describing flag leaf senescence process of wheat and characteristics of leaf senescence process. Acta Agron Sin, 2019, 45: 144‒152 (in Chinese with English abstract).

[9] 陈耀宇, 王曙光, 闫雪, 梁增浩, 史雨刚, 孙黛珍. 不同水分条件下小麦持绿相关性状与产量的关系. 山西农业科学, 2019, 47: 991‒997.

Chen Y Y, Wang S G, Yan X, Liang Z H, Shi Y G, Sun D Z. Relationships between stay green traits and yield of wheat under different water conditions. J Shanxi Agric Sin, 2019, 47: 991‒997 (in Chinese with English abstract).

[10] Wang S, Liang Z, Sun D, Dong F, Chen W, Wang H, Jing R. Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence. J Agric Sci, 2015, 153: 1234‒1245.

[11] Hassan M A, Yang M J, Rasheed A, Tian X L, Reynolds M, Xia X C, Xiao Y G, He Z H. Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping. Plant Physiol, 2021, 187: 2623‒2636.

[12] Vijayalakshmi K, Fritz A K, Paulsen G M, Bai G, Pandravada S, Gill B S. Modeling and mapping QTL for senescence-related traits in winter wheat under high temperature. Mol Breed, 2010, 26: 163‒175.

[13] 杨斌, 乔玲, 赵佳佳, 武棒棒, 温宏伟, 张树伟, 郑兴卫, 郑军. 小麦旗叶叶绿素含量的QTL定位及验证. 作物学报, 2023, 49: 744‒754.

Yang B, Qiao L, Zhao J J, Wu B B, Wen H W, Zhang S W, Zheng X W, Zheng J. QTL mapping and validation of chlorophyll content of flag leaves in wheat (Triticum aestivum L.). Acta Agron Sin, 2023, 49: 744‒754 (in Chinese with English abstract).

[14] 高雪, 贾中立, 林凯丽, 侯学通, 郑福兴, 耿洪伟. 水旱条件下小麦叶面积指数和叶绿素含量QTL定位. 植物遗传资源学报, 2021, 22: 1109‒1119.

Gao X, Jia Z L, Lin K L, Hou X T, Zheng F X, Geng H W. QTL mapping of leaf area index and chlorophyll content in wheat with normal irrigation and under drought stress. J Plant Genet Resour, 2021, 22: 1109‒1119 (in Chinese with English abstract).

[15] 刘大同, 余徐润, 朱冬梅, 刘健, 张晓, 高德荣. 扬麦16“灌浆快”与颖果显微结构和内源生长素的关系. 麦类作物学报, 2017, 37: 739‒749.

Liu D T, Yu X R, Zhu D M, Liu J, Zhang X, Gao D R. Relationship between caryopsis microstructure and endogenous auxin level and the fast grain filling of Yangmai 16. J Triticeae Crops, 2017, 37: 739‒749 (in Chinese with English abstract).

[16] 何中虎, 阎俊, 张勇. 高产矮秆抗倒广适小麦新品种中麦895. 中国种业, 2014, (6): 76‒77.

He Z H, Yan J, Zhang Y. New high-yielding, short-stalked and widely-adapted wheat variety Chinese Seed Industry Zhongmai 895, China Seed Industry, 2014, (6): 76‒77 (in Chinese with English abstract).

[17] 陈新民, 王凤菊, 李思敏, 张文祥. 小麦与玉米杂交产生小麦单倍体与双单倍体的稳定性. 作物学报, 2013, 39: 2247‒2252.

Chen X M, Wang F J, Li S M, Zhang W X. Stable production of wheat haploid and doubled haploid by wheat × maize cross. Acta Agron Sin, 2013, 39: 2247‒2252 (in Chinese with English abstract).

[18] Pask A J D, Pietragalla J, Mullan D M, Reynolds M P. Physiological Breeding: II. A Field Guide to Wheat Phenotyping. Chapter 12: Leaf area, green crop area and senescence. Mexico: CIMMYT, 2012. pp 58–62.

[19] Xu X T, Zhu Z W, Jia A L, Wang F J, Wang J P, Zhang Y L, Fu C, Fu L P, Bai G H, Xia X C, Hao Y F, He Z H. Mapping of QTL for partial resistance to powdery mildew in two Chinese common wheat cultivars. Euphytica, 2020, 216: 3.

[20] 辛筱筱, 栗孟飞, 刘媛, 程宏波, 常磊, 陈菁菁, 柴守玺, 杨德龙. 不同水分条件下小麦回交导入系群体旗叶持绿性与千粒重的遗传相关分析. 干旱地区农业研究, 2018, 36(1): 207‒212.

Xin X X, Li M F, Liu Y, Cheng H B, Chang L, Chen J J, Chai S X, Yang D L. Genetic analysis of stay-green of flag leaf and thousand-grain weight in introgression lines of wheat under different water conditions. Agric Res Arid Areas, 2018, 36(1): 207‒212 (in Chinese with English abstract).

[21] Verma V, Foulkes M J, Worland A J, Sylvester-Bradley R, Caligari P, Snape J W. Mapping quantitative trait loci for flag leaf senescence as a yield determinant in winter wheat under optimal and drought-stressed environments. Euphytica, 2004, 135: 255‒263.

[22] Shi Y G, Lian Y, Shi H W, Wang S G, Fan H, Sun D Z, Jing R L. Dynamic analysis of QTLs for green leaf area duration and green leaf number of main stem in wheat. Cereal Res Commun, 2019, 47: 250‒263.

[23] Zhang Z B, Xu P, Jia J Z, Zhou R H. Quantitative trait loci for leaf chlorophyll fluorescence traits in wheat. Aust J Crop Sci, 2010, 4: 571‒579.

[24] 郑福兴, 颜安, 高雪, 严勇亮, 王睿, 耿洪伟. 水旱处理下小麦叶绿素相对含量全基因组关联分析. 植物遗传资源学报, 2021, 22: 1334‒1347.

Zheng F X, Yan A, Gao X, Yan Y L, Wang R, Geng H W. Genome-wide association scanning of chlorophyll SPAD in wheat under water and drought treatments. J Plant Genet Resour, 2021, 22: 1334‒1347 (in Chinese with English abstract).

[25] 王琴, 刘泽厚, 万洪深, 魏会廷, 龙海, 李涛, 邓光兵, 李俊, 杨武云. 川麦42和川农16抗穗发芽QTL定位及聚合效应分析. 中国农业科学, 2020, 53: 3421‒3431.

Wang Q, Liu Z H, Wan H S, Wei H T, Long H, Li T, Deng G B, Li J, Yang W Y. Identification and pyramiding of QTLs for traits associated with pre -harvest sprouting resistance in two wheat cultivars Chuanmai 42 and Chuannong 16. Sci Agric Sin, 2020, 53: 3421‒3431 (in Chinese with English abstract).

[26] 陈黄鑫, 李聪, 吴坤燕, 王岳, 牟杨, 唐华苹, 唐力为, 兰秀锦, 马建. 四倍体小麦株高和穗长性状的QTL定位及其遗传效应分析. 麦类作物学报, 2022, 42: 799‒807.

Chen H X, Li C, Wu K Y, Wang Y, Mou Y, Tang H P, Tang L W, Lan X J, Ma J. Detection of QTLs for plant height and spike length in tetraploid wheat and analysis of their genetic effect. J Triticeae Crops, 2022, 42: 799‒807 (in Chinese with English abstract).

[27] 张泽源, 李玥, 赵文莎, 顾晶晶, 张傲琰, 张海龙, 宋鹏博, 吴建辉, 张传量, 宋全昊, 简俊涛, 孙道杰, 王兴荣. 小麦粒重相关性状的QTL定位及分子标记的开发. 中国农业科学, 2023, 56: 4137‒4149.

Zhang Z Y, Li Y, Zhao W S, Gu J J, Zhang A Y, Zhang H L, Song P B, Wu J H, Zhang C L, Song Q H, Jian J T, Sun D J, Wang X R. QTL mapping and molecular marker development of traits related to grain weight in wheat. Sci Agric Sin, 2023, 56: 4137‒4149 (in Chinese with English abstract).

[28] 温明星, 肖进, 徐涛, 孙丽, 王宗宽, 王海燕, 王秀娥. 利用55K芯片进行小麦生育期相关性状的QTL定位及效应分析. 作物学报, 2023, 49: 3188‒3203.

Wen M X, Xiao J, Xu T, Sun L, Wang Z K, Wang H Y, Wang X E. Mapping and effect analysis of QTL for phenology traits in wheat using 55K chip technology. Acta Agron Sin, 2023, 49: 3188‒3203 (in Chinese with English abstract).

[29] Xie Q, Mayes S, Sparkes D L. Early anthesis and delayed but fast leaf senescence contribute to individual grain dry matter and water accumulation in wheat. Field Crops Res, 2016, 187: 24‒34.

[30] Pearce S, Saville R, Vaughan S P, Chandler P M, Wilhelm E P, Sparks C A, Al-Kaff N, Korolev A, Boulton M I, Phillips A L, Hedden P, Nicholson P, Thomas S G. Molecular characterization of Rht-1 dwarfing genes in hexaploid wheat. Plant Physiol, 2011, 157: 1820‒1831.

[31] Chen Z Y, Cheng X J, Chai L L, Wang Z H, Bian R L, Li J, Zhao A J, Xin M M, Guo W L, Hu Z R, Peng H R, Yao Y Y, Sun Q X, Ni Z F. Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.). Theor Appl Genet, 2020, 133: 149‒162.

[32] Lin Y, Jiang X J, Hu H Y, Zhou K Y, Wang Q, Yu S F, Yang X L, Wang Z Q, Wu F K, Liu S H, Li C X, Deng M, Ma J, Chen G D, Wei Y M, Zheng Y L, Liu Y X. QTL mapping for grain number per spikelet in wheat using a high-density genetic map. Crop J, 2021, 9: 1108‒1114.

[33] Kim S H, Yoon J, Kim H, Lee S J, Paek N C. Rice basic Helix-Loop-Helix 079 (OsbHLH079) delays leaf senescence by attenuating ABA signaling. Rice, 2023, 16: 60.

[34] 莫黎杰, 刘夏瞳, 李慧, 陆海. 植物半胱氨酸蛋白酶在植物生长发育中的功能研究. 生物技术通报, 2021, 37(6): 202‒212.

Mo L J, Liu X T, Li H, Lu H. On the function of plant cysteine protease in plant growth and development. Biotechnol Bull, 2021, 37(6): 202‒212 (in Chinese with English abstract).

[35] 张洁琳, 付畅. 半胱氨酸蛋白酶及半胱氨酸蛋白酶抑制剂对逆境胁迫的应答. 分子植物育种, 2018, 16: 4453‒4459.

Zhang J L, Fu C. Response of cysteine protease and cysteine protease inhibitor to adverse stress. Mol Plant Breed, 2018, 16: 4453‒4459 (in Chinese with English abstract).

[36] 孙丽丽, 晋秀娟, 赵锴, Islam Md Ashraful, 卢娟, 王曙光, 孙黛珍. 小麦衰老相关基因TaSAG3的生物信息学及表达模式分析. 华北农学报, 2022, 37(2): 18‒27.

Sun L L, Jin X J, Zhao K, Islam Md Ashraful, Lu J, Wang S G, Sun D Z. Bioinformatics and expression pattern analysis of senescence associated gene TaSAG39 in wheat. Acta Agric Boreali-Sin, 2022, 37(2): 18‒27 (in Chinese with English abstract).

[37] Sharma S, Kaur G, Kumar A, Meena V, Kaur J, Pandey A K. Overlapping transcriptional expression response of wheat zinc-induced facilitator-like transporters emphasize important role during Fe and Zn stress. BMC Mol Biol, 2019, 20: 22.

[38] 任静, 王奇, 闫彩霞, 杨德光, 单世华. 花生GRAS基因家族全基因组鉴定与表达模式分析. 分子植物育种, 网络首发[2023-11-08], http://kns.cnki.net/kcms/detail/46.1068.S.20231107.0935.004.html.

Ren J, Wang Q, Yan C X, Yang D G, Shan S H. Genome-wide identification and expression analysis of GRAS gene family in peanut. Mol Plant Breed, Published online[2023-11-08], http://kns.cnki.net/kcms/detail/46.1068.S.20231107.0935.004.html (in Chinese with English abstract).

[39] 王智兰, 韩康妮, 杜晓芬, 李禹欣, 连世超, 王军. 谷子GRAS转录因子家族的全基因组鉴定､表达分析及标记开发. 核农学报, 2022, 36: 1723‒1737

Wang Z L, Han K N, Du X F, Li Y X, Lian S C, Wang J. Identification, expression analysis and marker development of GRAS transcription factor in foxtail millet. J Nucl Agric Sci, 2022, 36: 1723‒1737 (in Chinese with English abstract).

[40] Yin M Z, Wang Y P, Zhang L H, LI J Z, Quan W L, Yang L, Wang Q F, Chan Z L. The arabidopsis Cys2/His2 zinc finger transcription factor ZAT18 is a positive regulator of plant tolerance to drought stress. J Exp Bot, 2017, 68: 2991‒3005.

[41] 王淑叶, 伍国强, 魏明. WRKY转录因子调控植物逆境胁迫响应的作用机制. 生物工程学报, 2024, 40: 35‒52.

Wang S Y, Wu G Q, Wei M. Functional mechanisms of WRKY transcription factors in regulating plant response to abiotic stresses. Chin J Biotechnol, 2024, 40: 35‒52 (in Chinese with English abstract).

[42] 张丽, 甘露, 卢振华, 曹高燚, 邱丽娜, 丁博, 谢晓东, 秦志列, 王俊斌. 小麦WRKY转录因子TaWRKY72B的克隆､亚细胞定位及表达分析. 麦类作物学报, 2024, 44: 7‒15.

Zhang L, Gan L, Lu Z H, Cao G Y, Qiu L N, Ding B, Xie X D, Qin Z L, Wang J B. Cloning, subcellular localization and expression analysis of WRKY transcription factor TaWRKY72B in wheat. J Triticeae Crops, 2024, 44: 7‒15 (in Chinese with English abstract)

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