作物学报 ›› 2025, Vol. 51 ›› Issue (5): 1166-1177.doi: 10.3724/SP.J.1006.2025.44175
张金泽1,周庆国2,肖莉晶1,金海润1,欧阳青静1,龙旭1,晏中彬1,田恩堂1,*
ZHANG Jin-Ze1,ZHOU Qing-Guo2,XIAO Li-Jing1,JIN Hai-Run1,OU-YANG Qing-Jing1,LONG Xu1,YAN Zhong-Bin1,TIAN En-Tang1,*
摘要:
硫苷是重要的次生代谢物,在油菜生长发育、病虫害防御等方面都具有重要作用。本研究以芥菜型油菜品系YufengZC和Qichi881为亲本创建的包含197个RIL-F8株系的作图群体(QY-RIL群体)为研究材料,测定了全部株系的叶片、茎秆、花蕾和种子的硫苷含量。结果表明,同一株系不同组织间硫苷含量存在显著差异,而不同株系间相同组织的硫苷含量也存在较大变异,且总体呈正态分布。相关性分析发现,花蕾、茎秆与种子间硫苷含量呈显著正相关关系,而叶片的硫苷含量仅与花蕾呈显著正相关关系。此外,本研究还对叶片、茎秆、花蕾和种子硫苷含量的调控基因进行了QTL定位,分别鉴定到9、10、9和18个QTL,包含6个在多组织中共同检测到的cQTL (consensus QTL)。结合cQTL区间序列信息及所含基因的表达分析结果,初步筛选出6个候选基因,其中BjuB018426 (GTR1)和BjuB020498 (GTR2)参与硫苷从营养组织向生殖组织的转运,可能是造成本研究中硫苷含量差异分布的重要调控基因。本研究结果可为解析芥菜型油菜不同组织的硫苷合成与分配机制及选育不同硫苷含量的多功能品种奠定基础。
[1] Essoh A P, Monteiro F, Pena A R, Pais M S, Moura M, Romeiras M M. Exploring glucosinolates diversity in Brassicaceae: a genomic and chemical assessment for deciphering abiotic stress tolerance. Plant Physiol Biochem, 2020, 150: 151–161. [2] Raboanatahiry N, Li H X, Yu L J, Li M T. Rapeseed (Brassica napus): processing, utilization, and genetic improvement. Agronomy, 2021, 11: 1776. [3] Xiao M L, Wang H D, Li X N, Mason A S, Fu D H. Rapeseed as an ornamental. Horticulturae, 2022, 8: 27. [4] Meng L B, Zhang Y H, Yu S P, Ogundeji A O, Zhang S, Li S M. Temporal assessment of biofumigation using mustard and oilseed rape tissues on Verticillium dahliae, soil microbiome and yield of eggplant. Agronomy, 2022, 12: 2963. [5] Zheng Q, Liu K D. Worldwide rapeseed (Brassica napus L.) research: a bibliometric analysis during 2011–2021. Oil Crop Sci, 2022, 7: 157–165. [6] Liu W B, Li S, Tao J B, Liu X Y, Yin G Y, Xia Y, Wang T, Zhang H Y. CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data. Sci Data, 2024, 11: 356. [7] Kang L, Qian L W, Zheng M, Chen L Y, Chen H, Yang L, You L, Yang B, Yan M L, Gu Y G, et al. Genomic insights into the origin, domestication and diversification of Brassica juncea. Nat Genet, 2021, 53: 1392–1402. [8] Nguyen V P T, Stewart J, Lopez M, Ioannou I, Allais F. Glucosinolates: natural occurrence, biosynthesis, accessibility, isolation, structures, and biological activities. Molecules, 2020, 25: 4537. [9] Kanstrup C, Jimidar C C, Tomas J, Cutolo G, Crocoll C, Schuler M, Klahn P, Tatibouët A, Nour-Eldin H H. Artificial fluorescent glucosinolates (F-GSLs) are transported by the glucosinolate transporters GTR1/2/3. Int J Mol Sci, 2023, 24: 920. [10] Mann A, Kumari J, Kumar R, Kumar P, Pradhan A K, Pental D, Bisht N C. Targeted editing of multiple homologues of GTR1 and GTR2 genes provides the ideal low-seed, high-leaf glucosinolate oilseed mustard with uncompromised defence and yield. Plant Biotechnol J, 2023, 21: 2182–2195. [11] Lou P, Zhao J J, He H J, Hanhart C, Pino Del Carpio D, Verkerk R, Custers J, Koornneef M, Bonnema G. Quantitative trait loci for glucosinolate accumulation in Brassica rapa leaves. New Phytol, 2008, 179: 1017–1032.
[12] 赵卫国, 塔娜, 王灏. 甘蓝型油菜种子硫代葡萄糖苷含量的QTL定位及候选基因分析. 西北植物学报, 2024, 44: 1261–1272. [13] Wei D Y, Cui Y X, Mei J Q, Qian L W, Lu K, Wang Z M, Li J N, Tang Q L, Qian W. Genome-wide identification of loci affecting seed glucosinolate contents in Brassica napus L. J Integr Plant Biol, 2019, 61: 611–623. [14] Antonious G F, Bomford M, Vincelli P. Screening Brassica species for glucosinolate content. J Environ Sci Health B, 2009, 44: 311–316. [15] 王倩, 杨旭, 张金泽, 肖莉晶, 余坤江, 田恩堂. 芥菜型油菜茎秆抗倒伏相关性状的组织观察与QTL初定位. 植物遗传资源学报, 2024, 25: 431–439. Wang Q, Yang X, Zhang J Z, Xiao L J, Yu K J, Tian E T. Microstructure observation and QTL mapping of traits related to stalk lodging resistance in Brassica juncea. J Plant Genet Resour, 2024, 25: 431–439 (in Chinese with English abstract).
[16] 杨旭, 余坤江, 向阳, 代文东, 杜才富, 田恩堂. 芥菜型油菜RIL群体QTL定位能力评价与分析. 分子植物育种, 网络首发[2023–11–01]. http://kns.cnki.net/kcms/detail/46.1068.S.20231101.0933.002.
[17] 李培武, 周海燕. 油菜硫代葡萄糖苷检测技术研究进展. 中国油料作物学报, 2008, 30: 127–131.
[18] 李东华, 叶春苗. 萝卜籽中活性成分提取及抑菌效果的研究. 沈阳化工大学学报, 2013, 27(1): 25–29.
[19] 晏伟. 芥菜型油菜主要脂肪酸性状的QTL定位与分析. 贵州大学硕士学位论文, 贵州贵阳, 2022. [20] Manrique-Carpintero N C, Coombs J J, Cui Y H, Veilleux R E, Buell C R, Douches D. Genetic map and QTL analysis of agronomic traits in a diploid potato population using single nucleotide polymorphism markers. Crop Sci, 2015, 55: 2566–2579. [21] Voorrips R E. MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered, 2002, 93: 77–78. [22] Kim D, Langmead B, Salzberg S L. HISAT: a fast spliced aligner with low memory requirements. Nat Methods, 2015, 12: 357–360. [23] Pertea M, Kim D, Pertea G M, Leek J T, Salzberg S L. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat Protoc, 2016, 11: 1650–1667.
[24] 张金泽, 周庆国, 王倩, 肖莉晶, 金海润, 欧阳青静, 余坤江, 田恩堂. 芥菜型油菜响应菌核病侵染表达特性与高抗性关联基因分析. 作物学报, 网络首发[2024-11-13], http://kns.cnki.net/kcms/detail/11.1809.s.20241113.1017.004. [25] Halkier B A, Gershenzon J. Biology and biochemistry of glucosinolates. Annu Rev Plant Biol, 2006, 57: 303–333. [26] Zhang L, Kawaguchi R, Enomoto T, Nishida S, Burow M, Maruyama-Nakashita A. Glucosinolate catabolism maintains glucosinolate profiles and transport in sulfur-starved Arabidopsis. Plant Cell Physiol, 2023, 64: 1534–1550. [27] Brown P D, Tokuhisa J G, Reichelt M, Gershenzon J. Variation of glucosinolate accumulation among different organs and developmental stages of Arabidopsis thaliana. Phytochemistry, 2003, 62: 471–481.
[28] 田志涛, 赵永国, LENKA Havlickova, HE Zhesi, REA L Harper, IAN Bancroft, 邹锡玲, 张学昆, 陆光远. 甘蓝型油菜种子和角果皮中硫苷含量的动态变化及转录组关联分析. 中国农业科学, 2018, 51: 635–651.
[29] 李培武. 甘蓝型油菜叶片与种子硫苷相关性研究. 华中农业大学博士学位论文, 湖北武汉, 2007. [30] Rout K, Sharma M, Gupta V, Mukhopadhyay A, Sodhi Y S, Pental D, Pradhan A K. Deciphering allelic variations for seed glucosinolate traits in oilseed mustard (Brassica juncea) using two bi-parental mapping populations. Theor Appl Genet, 2015, 128: 657–666. [31] He Y J, Fu Y, Hu D X, Wei D Y, Qian W. QTL mapping of seed glucosinolate content responsible for environment in Brassica napus. Front Plant Sci, 2018, 9: 891. [32] Rahman H, Kebede B, Zimmerli C, Yang R C. Genetic study and QTL mapping of seed glucosinolate content in Brassica rapa L. Crop Sci, 2014, 54: 537–543. [33] Fu Y, Lu K, Qian L W, Mei J Q, Wei D Y, Peng X H, Xu X F, Li J N, Frauen M, Dreyer F, et al. Development of genic cleavage markers in association with seed glucosinolate content in canola. Theor Appl Genet, 2015, 128: 1029–1037. [34] Schnug E, Ceynowa J. Phytopathological aspects of glucosinolates in oilseed rape. J Agron Crop Sci, 1990, 165: 319–328. [35] Du L C, Ann Halkier B. Biosynthesis of glucosinolates in the developing silique walls and seeds of Sinapis alba. Phytochemistry, 1998, 48: 1145–1150. [36] Chen S, Petersen B L, Olsen C E, Schulz A, Halkier B A. Long-distance phloem transport of glucosinolates in Arabidopsis. Plant Physiol, 2001, 127: 194–201. [37] Petersen B L, Chen S X, Hansen C H, Olsen C E, Halkier B A. Composition and content of glucosinolates in developing Arabidopsis thaliana. Planta, 2002, 214: 562–571. [38] Tang Y S, Zhang G R, Jiang X Y, Shen S L, Guan M W, Tang Y H, Sun F J, Hu R, Chen S, Zhao H Y, et al. Genome-wide association study of glucosinolate metabolites (mGWAS) in Brassica napus L. Plants (Basel), 2023, 12: 639. [39] Nour-Eldin H H, Halkier B A. Piecing together the transport pathway of aliphatic glucosinolates. Phytochem Rev, 2009, 8: 53–67. [40] Madsen S R, Olsen C E, Nour-Eldin H H, Halkier B A. Elucidating the role of transport processes in leaf glucosinolate distribution. Plant Physiol, 2014, 166: 1450–1462. [41] Nambiar D M, Kumari J, Augustine R, Kumar P, Bajpai P K, Bisht N C. GTR1 and GTR2 transporters differentially regulate tissue-specific glucosinolate contents and defence responses in the oilseed crop Brassica juncea. Plant Cell Environ, 2021, 44: 2729–2743. [42] Tan Z D, Xie Z Q, Dai L H, Zhang Y T, Zhao H, Tang S, Wan L L, Yao X, Guo L, Hong D F. Genome- and transcriptome-wide association studies reveal the genetic basis and the breeding history of seed glucosinolate content in Brassica napus. Plant Biotechnol J, 2022, 20: 211–225. |
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