基于组学技术探究甜菜耐盐机理研究进展

doi:10.11924/j.issn.1000-6850.casb2020-0701

中国农学通报 ›› 2021, Vol. 37 ›› Issue (15): 92-98.doi: 10.11924/j.issn.1000-6850.casb2020-0701

所属专题：生物技术

基于组学技术探究甜菜耐盐机理研究进展

路正禹¹(), 王堽², 李任任², 崔汝菲¹, 耿贵¹()

¹黑龙江大学现代农业与生态环境学院,哈尔滨 150080
²黑龙江大学生命科学学院,哈尔滨 150080

收稿日期:2020-11-23 修回日期:2020-12-09 出版日期:2021-05-25 发布日期:2021-05-18
通讯作者: 耿贵
作者简介:路正禹,男,1996年出生,江苏徐州人,在读硕士,研究方向：农艺与种业作物。通信地址：150080 黑龙江省哈尔滨市学府路74号黑龙江大学,Tel：0451-86608913,E-mail： luzhengyu111@163.com。
基金资助:
国家糖料产业技术体系“甜菜种植制度”(CARS-170209);中国博士后科学基金“转录因子BvWRKY74调控甜菜耐盐的分子机制研究”(2020M670944);黑龙江省自然科学基金“转录因子BvWRKY62调控甜菜耐盐性的分子机理研究”(YQ2020037C)

Research on the mechanism of Salt Resistance in Sugar Beet based on OMICS Technologies

Lu Zhengyu¹(), Wang Gang², Li Renren², Cui Rufei¹, Geng Gui¹()

¹College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin 150080
²College of Life Sciences, Heilongjiang University, Harbin 150080

Received:2020-11-23 Revised:2020-12-09 Online:2021-05-25 Published:2021-05-18
Contact: Geng Gui

摘要/Abstract

摘要：

为揭示甜菜盐胁迫下的分子响应机制,利用组学技术发现并鉴定关键基因及蛋白,迅速给予甜菜耐盐机理新的依据。本研究综述了转录组学、蛋白质组学、代谢组学、基因组学在甜菜耐盐机理中的研究进展。目前研究指出转录组学、蛋白质组学可筛选出甜菜耐盐关键候选基因,如BvM14-SAMS2、BvM14-glyoxalase I、BvNHX等,并利用基因组学对所发现基因进行验证。同时,探讨代谢组学在甜菜盐胁迫研究中的应用,以期通过代谢产物的定量与定性测量评估基因功能,为甜菜盐胁迫相关研究提供新信息与新思路。下一步应不断深化各组学技术间的融合,强化多学科交叉融合意识并积极创新,以发掘更多优质的甜菜耐盐遗传种质资源与基因资源。

关键词: 甜菜, 耐盐, 基因组学, 转录组学, 蛋白质组学, 代谢组学

Abstract:

In order to reveal the molecular response mechanism of sugar beet under salt stress, OMICS Technology is used to discover and identify key genes and proteins, and quickly provided new evidence for the salt tolerance mechanism of sugar beet. This study reviews the research progress of transcriptomics, proteomics, metabolomics, and genomics in the mechanism of sugar beet salt tolerance. At present, studies have found that transcriptomics and proteomics can screen key candidate genes for sugar beet salt tolerance, such as BvM14-SAMS2, BvM14-glyoxalase I, BvNHX, etc., and use genomics to verify the discovered genes. At the same time, this study explores the application of metabolomics in the study of sugar beet salt stress, and looks forward to provide new information and new ideas for sugar beet salt stress related research from evaluating gene function through quantitative and qualitative measurement of metabolites. In the future, we should continue to deepen the integration of various omics technologies, strengthen the awareness of multi-disciplinary integration and actively innovate to discover more high-quality genetic resources and genetic resources of sugar beet salt tolerance.

Key words: sugar beet, salt tolerance, genomics, transcriptome, proteomics, metabolomics

中图分类号:

S566

路正禹, 王堽, 李任任, 崔汝菲, 耿贵. 基于组学技术探究甜菜耐盐机理研究进展[J]. 中国农学通报, 2021, 37(15): 92-98.

Lu Zhengyu, Wang Gang, Li Renren, Cui Rufei, Geng Gui. Research on the mechanism of Salt Resistance in Sugar Beet based on OMICS Technologies[J]. Chinese Agricultural Science Bulletin, 2021, 37(15): 92-98.

图/表 1

参考文献 56

[1]	Munns R, Tester M. Mechanisms of salinity tolerance[J]. Annual Review of Plant Biology, 2008,59(1):651-681. doi: 10.1146/annurev.arplant.59.032607.092911 URL
[2]	Jha U, Bohra A, Jha R, et al. Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes[J]. Plant Cell Reports, 2019,38(3):255-277. doi: 10.1007/s00299-019-02374-5 URL
[3]	王荣华, 王维成, 刘焕霞, 等. 不同甜菜种质耐盐性鉴定和筛选[J]. 中国糖料, 2018,30(4):14-17.
[4]	於丽华, 耿贵, 崔平, 等. 甜菜种质资源耐盐性的初步筛选[J]. 中国糖料, 2013,35(4):39-42.
[5]	刘华君, 王欣怡, 白晓山, 等. 14份甜菜品种生长期耐盐性研究[J]. 中国糖料, 2015,37(3):21-23.
[6]	Biancardi E, Mcgrath J, Panella L, et al. Root and tuber crops[M]. New York:Springer, 2010:46-47.
[7]	Dohm J, Minoche A, Holtgräwe D, et al. The genome of the recently domesticated crop plant sugar beet (Beta vulgaris)[J]. Nature, 2014,505(7484):546-559. doi: 10.1038/nature12817 URL
[8]	Luan Y, Cui J, Zhai J, et al. High-throughput sequencing reveals differential expression of miRNAs in tomato inoculated with Phytophthora infestans[J]. Planta, 2015,241(6):1405-1416. doi: 10.1007/s00425-015-2267-7 URL
[9]	Kreps J, Wu Y, Chang H, et al. Transcriptome changes for Arabidopsis in response to salt, osmotic, and cold stress[J]. Plant Physiol. 2002,130(4):2129-2141. pmid: 12481097
[10]	Shinozaki K, Yamaguchi S Shinozaki. Gene networks involved in drought stress response and tolerance[J]. Journal of Experimental Botany, 2007,58(2):221-227. doi: 10.1093/jxb/erl164 URL
[11]	Akpinar B, Kantar M, Budak H. Root precursors of microRNAs in wild emmer and modern wheats show major differences in response to drought stress[J]. Functional Integrative Genomics, 2015,15(5):587-598. doi: 10.1007/s10142-015-0453-0 URL
[12]	Isabelle B, Zhou M, Alexandra V. Spatial differentiation of gene expression in Aspergillus niger colony grown for sugar beet pulp utilization[J]. Scientific Reports, 2015,5(1):13592-13603. doi: 10.1038/srep13592 URL
[13]	Mikael B, Basia V, Edward R, et al. Gene expression and metabolite profiling of Populus euphratica growing in the Negev desert[J]. Genome,Biol, 2005,12(6):101-118. doi: 10.1186/gb-2011-12-1-101 URL
[14]	蒋太交, 薛艳红, 徐涛. 系统生物学——生命科学的新领域[J]. 生物化学与生物物理进展, 2004(11):957-964.
[15]	耿贵, 吕春华, 於丽华, 等. 甜菜组学技术研究进展[J]. 中国农学通报, 2019(12):124-129.
[16]	刘贤青, 罗杰. 植物代谢组学技术研究进展[J]. 科技导报, 2015(16):33-38.
[17]	高敏, Praveen K, 刘春朝. 植物代谢组学研究进展[J]. 西北植物学报, 2005,25(25):405-412.
[18]	吕春华, 王宇光, 於丽华, 等. 甜菜耐盐性分子及育种研究进展[J]. 中国糖料, 2019,41(2):69-74.
[19]	Wang X, He R, He G. Construction of suppression subtractive hybridization libraries and identification of brown planthopper-induced genes[J]. Journal of Plant Physiology, 2005,162(11):1254-1262. doi: 10.1016/j.jplph.2005.01.005 URL
[20]	Ma C, Wang Y, Gu D, et al. Overexpression of S-Adenosyl-l-Methionine Synthetase 2 from sugar beet M14 increased arabidopsis tolerance to salt and oxidative stress[J]. International Journal of Molecular Sciences, 2017,18(4):847-863. doi: 10.3390/ijms18040847 URL
[21]	Wang Y, Zhan Y, Wu C, et al. Cloning of a cystatin gene from sugar beet M14 that can enhance plant salt tolerance[J]. Plant Science, 2012,191(192):93-99.
[22]	Lv X, Jin Y, Wang Y. De novo transcriptome assembly and identification of salt-responsive genes in sugar beet M14[J]. Computational Biology and Chemistry, 2018,75:1-10. doi: 10.1016/j.compbiolchem.2018.04.014 URL
[23]	Del R. ROS and RNS in plant physiology: an overview[J]. Journal Of Experimental Botany, 2015,66(10):2827-2837. doi: 10.1093/jxb/erv099 URL
[24]	Skorupa M, Gołębiewski M, Domagalski K, et al. Transcriptomic profiling of the salt stress response in excised leaves of the halophyte Beta vulgaris ssp. Maritime[M]. Plant Science, 2016,243:56-70.
[25]	Skorupa M, Gołębiewski M, Kurnik K, et al. Salt stress vs. salt shock-the case of sugar beet and its halophytic ancestor[J]. Plant Biology. 2019,19(1):57-69.
[26]	李昕晏, 崔杰, 李俊良, 等. miRN调控植物抗逆机制的研究现状[J]. 江苏农业科学, 2019,47(21):63-66.
[27]	孙宗艳. 盐/干旱胁迫下甜菜幼苗中miR160/164及其靶基因的表达与分析[D]. 哈尔滨:哈尔滨工业大学, 2017:5-6.
[28]	郭春燕, 詹克慧. 蛋白质组学技术研究进展及应用[J]. 云南农业大学学报:自然科学, 2010,25(4):583-591.
[29]	Yang L, Ma C, Wang L, et al. Salt stress induced proteome and transcriptome changes in sugar beet monosomic addition line M14[J]. Journal of Plant Physiology, 2012,169(9):839-850. doi: 10.1016/j.jplph.2012.01.023 pmid: 22498239
[30]	Li H, Pan Y, Zhang Y, et al. Salt stress response of membrane proteome of sugar beet monosomic addition line M14[J]. Journal of Proteomics, 2015,127(8):18-33. doi: 10.1016/j.jprot.2015.03.025 URL
[31]	Yang L, Zhang Y, Zhu N, et al. Proteomic analysis of salt tolerance in sugar beet monosomic addition line M14[J]. Journal of Proteome Research, 2013,12(11):4931-4950. doi: 10.1021/pr400177m pmid: 23799291
[32]	Zhang Y, Nan J, Yu B. OMICS technologies and applications in sugar beet[J]. Frontiers in Plant Science, 2016,22(7):900-911.
[33]	Pang Q, Chen S, Dai S, et al. Comparative proteomics of salt tolerance in Arabidopsis thaliana and Thellungiella halophila[J]. Proteome Research, 2010,9(5):2584-2599. doi: 10.1021/pr100034f URL
[34]	Cheng Y, Qi Y, Zhu Q, et al. New changes in the plasma-membrane-associated proteome of rice roots under salt stress.[J]. Proteomics, 2009,9(11):3100-3114. doi: 10.1002/pmic.200800340 URL
[35]	Wang Y, Stevanato P, Lv C, et al. Comparative physiological and proteomic analysis of two sugar beet genotypes with contrasting salt tolerance[J]. Journal of Agricultural and Food Chemistry, 2019,67(21):6056-6073. doi: 10.1021/acs.jafc.9b00244 URL
[36]	Yu B, Li J, Koh J, et al. Quantitative proteomics and phosphoproteomics of sugar beet monosomic addition line M14 in response to salt stress[J]. Proteomics, 2015.04(143):286-297.
[37]	Kanhonou R, Serrano R, Palau R. A catalytic subunit of the sugar beet protein kinase CK2 is induced by salt stress and increases NaCl tolerance in Saccharomyces cerevisiae[J]. Plant Molecular Biology, 2001,47(5):571-579. doi: 10.1023/A:1012227913356 URL
[38]	Weckwerth W. Metabolomics in systems biology[J]. Plant Biology, 2003,54(54):669-692.
[39]	Fiehn O. Metabolomics-the link between genotypes and phenotypes[J]. Plant Molecular Biology, 2002,48(1-2):155-171. doi: 10.1023/A:1013713905833 URL
[40]	Hall R. Plant metabolomics: from holistic hope, to hype, to hot topic[J]. New Phytologist, 2006,169(3):453-468. doi: 10.1111/nph.2006.169.issue-3 URL
[41]	耿贵, 吕春华, 於丽华, 等. 甜菜组学技术研究进展[J]. 中国农学通报, 2019(12):124-129.
[42]	Hossain M, Persicke M, ElSayed A, et al. Metabolite profiling at the cellular and subcellular level reveals metabolites associated with salinity tolerance in sugar beet[J]. Journal of Experimental Botany, 2017,68(21-22):5961-5976. doi: 10.1093/jxb/erx388 pmid: 29140437
[43]	Ji M, Wang K, Wang L, et al. Overexpression of a S-Adenosylmethionine Decarboxylase from sugar beet M14 increased araidopsis salt tolerance[J]. International Journal of Molecular Sciences, 2019,20(8):1990-2004. doi: 10.3390/ijms20081990 URL
[44]	Lei Y, Xu Y, Hettenhausen C, et al. Comparative analysis of alfalfa (Medicago sativa L.) leaf transcriptomes reveals genotype-specific salt tolerance mechanisms[J]. Biomed Central Plant Biology, 2018,18(1):35-49.
[45]	Tobias W, Reif J, Kraft T, et al. Genomic selection in sugar beet breeding populations[J]. Biomed Central Genetics, 2013,14(1):85-98.
[46]	Dohm J, Minoche A, Holtgräwe D, et al. The genome of the recently domesticated crop plant sugar beet (Beta vulgaris)[J]. Nature, 2014,505(7484):546-549. doi: 10.1038/nature12817 URL
[47]	Li H, Cao H, Wang Y, et al. Proteomic analysis of sugar beet apomictic monosomic addition line M14[J]. Journal of Proteomics, 2009,73(2):297-308. doi: 10.1016/j.jprot.2009.09.012 URL
[48]	Wu C, Ma C, et al. Sugar beet M14 glyoxalase I gene can enhance plant tolerance to abiotic stresses[J]. Journal of Plant Research, 2013,126(3):415-425. doi: 10.1007/s10265-012-0532-4 URL
[49]	Kito K, Tsutsumi K, Rai V, et al. Isolation and functional characterization of 3-phosphoglycerate dehydrogenase involved in salt responses in sugar beet[J]. Protoplasma, 2017,254(6):2305-2313. doi: 10.1007/s00709-017-1127-7 URL
[50]	Adler G, Blumwald E, Bar-Zvi D. The sugar beet gene encoding the sodium/proton exchanger 1 (BvNHX1) is regulated by a MYB transcription factor[J]. Planta, 2010,232(1):187-195. doi: 10.1007/s00425-010-1160-7 pmid: 20390294
[51]	Wu G, Wang J, Li S. Genome-Wide identification of Na⁺/H⁺Antiporter (NHX) Genes in sugar beet (Beta vulgaris L.) and their regulated expression under salt stress[J]. Genes, 2019,10(5):401-419. doi: 10.3390/genes10050401 URL
[52]	Yang A, Duan X, Gu X, et al. Efficient transformation of beet (Beta vulgaris) and production of plants with improved salt-tolerance[J]. Plant Cell Tissue and Organ Culture, 2005,83(3):259-270. doi: 10.1007/s11240-005-6670-9 URL
[53]	Yamada N, Takahashi H, Kitou K, et al. Suppressed expression of choline monooxygenase in sugar beet on the accumulation of glycine betaine[J]. Plant Physiology and Biochemistry, 2015,96:217-221. doi: 10.1016/j.plaphy.2015.06.014 URL
[54]	Chen T, Murata N. Enhancement of tolerance of abiotic stress by metabolic engineering of betaines and other compatible solutes[J]. Current Opinion in Plant Biology, 2002,5(3):250-257. doi: 10.1016/S1369-5266(02)00255-8 URL
[55]	Zhang J, Tan W, Yang X, et al. Plastid-expressed choline monooxygenase gene improves salt and drought tolerance through accumulation of glycine betaine in tobacco[J]. Plant Cell Reports, 2008,27(6):1113-1124. doi: 10.1007/s00299-008-0549-2 URL
[56]	Yamada N, Takahashi H, Kitou K, et al. Suppressed expression of choline monooxygenase in sugar beet on the accumulation of glycine betaine[J]. Plant Physiology and Biochemistry, 2015,96(14):217-221. doi: 10.1016/j.plaphy.2015.06.014 URL

基于组学技术探究甜菜耐盐机理研究进展

Research on the mechanism of Salt Resistance in Sugar Beet based on OMICS Technologies

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