基因表达的选择性剪接(Alternative splicing, AS)调控与植物对逆境胁迫应答密切相关, SR蛋白(Serine/ arginine-rich proteins)是其中关键的调节因子。文章对玉米B73参考基因组进行分析显示: 多数SR蛋白家族基因成员启动子区域含有3~8种与发育或胁迫相关的顺式调控元件; 27个基因成员编码碱性蛋白, 其中23个成员的编码蛋白依照其N′端的首个RRM(RNA recognition motif)结构域特征大体上可划分为5个亚组。利用双向分级聚类方法, 对三叶期干旱胁迫下玉米杂交种郑单958及其亲本郑58和昌7-2的SR蛋白基因家族的分析显示, 该基因家族的表达模式具有明显的组织表达特异性和基因型依赖性特征; 其中在干旱胁迫下地下组织以下调表达模式为主, 而地上组织中以上调表达模式为主。在重度干旱胁迫后的3个不同时段复水过程中, 地上和地下组织中SR蛋白基因家族的表达皆以下调表达模式为主。另外, 尽管不同基因成员的表达模式在干旱胁迫及其后的复水过程中存在明显差异, 但普遍存在自身选择性剪接现象。SR蛋白基因家族在玉米干旱胁迫的应答规律, 为从AS-network视角解析玉米的抗逆分子机制提供了新思路。
Alternative splicing (AS) in eukaryotic organisms is closely related to the gene regulation in plant abiotic stress responses, in which serine/arginine-rich proteins (SR proteins) act as key regulators. The genome sequence of maize inbred line B73 was analyzed, showing that the promoter regions of SR genes possess about three to eight kinds of cis-acting regulatory elements. Twenty-seven SR genes encode alkaline proteins, and 23 of which are divided into five subgroups in terms of the first RNA recognition motif (RRM) at the amino terminal. The expression of SR genes showed tissue-specific and genotype-dependent features under drought stress in the hybrid Zhengdan-958 and its parents, Zheng-58 and Chang-7-2 via bidirectional hierarchical clustering. SR genes were down-regulated in roots while they were up-regulated in shoots under drought stress. However, SR genes were down-regulated in both roots and shoots in three different rehydration stages after severe drought stress. Additionally, a widespread alternative splicing exists in all SR genes although SR genes showed differential expression tendency under drought stress and/or during rehydration stages. Results above will deepen our understanding of the molecular mechanisms of plant response to abiotic stress from the perspective of AS-network.
[1] C, Zeng Y, Huang J, Sobocka MB, Rushbrook JI. Bovine NAD + -dependent isocitrate dehydrogenase: alternative splicing and tissue-dependent expression of subunit 1. Biochemistry , 2000, 39(7): 1807-1816.
[2] K. Alternative splicing and proteome diversity in plants: the tip of the iceberg has just emerged. Trends Plant Sci , 2003, 8(10): 468-471.
[3] WB, Fu Y, McGinnis KM. Genome-wide analyses of alternative splicing in plants: opportunities and challenges. Genome Res , 2008, 18(9): 1381-1392.
[4] A, Ambavaram MMR, Klumas C, Krishnan A, Batlang U, Myers E, Grene R, Pereira A. Effects of drought on gene expression in maize reproductive and leaf meristem tissue revealed by RNA-Seq. Plant Physiol , 2012, 160(2): 846-867.
[5] C, Koster T, Simpson CG, Shaw P, Danisman S, Brown JWS, Staiger D. An hnRNP-like RNA-binding protein affects alternative splicing by in vivo interaction with transcripts in Arabidopsis thaliana. Nucleic Acids Res , 2012, 40(22): 11240-11255.
[6] SG, Ali GS, Reddy AS. Alternative splicing of pre-mRNAs of Arabidopsis serine/arginine-rich proteins: regulation by hormones and stresses. Plant J , 2007, 49(6): 1091-1107.
[7] DN, Rogers MF, Labadorf A, Ben-Hur A, Guo H, Paterson AH, Reddy ASN. Comparative analysis of serine/arginine-rich proteins across 27 eukaryotes: insights into sub-family classification and extent of alternative splicing. PLoS O NE , 2011, 6(9): e24542.
[8] RJ, Phillips RL. Maize DNA-sequencing strategies and genome organization. Genome Biol , 2004, 5(5): 223.
[9] B, Hughes GJ, Pasquali C, Paquet N, Ravier F, Sanchez JC, Frutiger S, Hochstrasser D. The focusing positions of polypeptides in immobilized pH gradients can be predicted from their amino acid sequences. Electr o phoresis , 1993, 14(10): 1023-1031.
[10] B, Basse B, Olsen E, Celis JE. Reference points for comparisons of two-dimensional maps of proteins from different human cell types defined in a pH scale where isoelectric points correlate with polypeptide compositions. Electrophoresis , 1994, 15(3-4): 529-539.
[11] MR, Gasteiger E, Bairoch A, Sanchez JC, Williams KL, Appel RD, Hochstrasser DF. Protein identification and analysis tools in the ExPASy server. Methods Mol Biol , 1999, 112: 531-552.
[12] CJA, De Castro E, Cerutti L, Cuche BA, Hulo N, Bridge A, Bougueleret L, Xenarios L. New and continuing developments at PROSITE. Nucleic Acids Res , 2013, 41(Database issue): D344-D347.
[13] CJA, Cerutti L, Hulo N, Gattiker A, Falquet L, Pagni M. PROSITE: a documented database using patterns and profiles as motif descriptors. Brief Bioinform , 2002, 3(3): 265-274.
[14] Castro E, Sigrist CJ, Gattiker A, Bulliard V, Langendijk-Genevaux PS, Gasteiger E, Bairoch A, Hulo N. ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins. Nucleic Acids Res , 2006, 34(Web Server issue): W362-W365.
[15] CJ, De Castro E, Langendijk-Genevaux PS, Le Saux V, Bairoch A, Hulo N. ProRule: a new database containing functional and structural information on PROSITE profiles. Bioinformatics , 2005, 21(21): 4060-4066.
[16] K, Ugawa Y, Iwamoto M, Korenaga T. Plant cis-acting regulatory DNA elements (PLACE) database: 1999. Nucleic Acids Res , 1999, 27(1): 297-300.
[17] DS. SIGNAL SCAN: a computer program that scans DNA sequences for eukaryotic transcriptional elements. Compute Appl Biosci : CABIOS , 1991, 7(2): 203-206.
[18] Mekliche A. Relative water content (RWC) and leaf senescence as screening tools for drought tolerance in wheat. Options M é diterran é ennes : S é rie A , S é minaires M é diterran é ens , 2004, (60): 193-196.
[19] AI, Sharov V, Whie J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, Sturn A, Snuffin M, Rezantsev A, Popov D, Rylsov A, Kostukovich E, Borisovsky I, Liu Z, Vinszvich A, Trush V,