Computational identification of microRNAs in peach expressed sequence tags and validation of their precise sequences by miR-RACE

被引:31
作者
Zhang, Yanping [1 ]
Yu, Mingliang [2 ]
Yu, Huaping [1 ]
Han, Jian [1 ]
Song, Changnian [1 ]
Ma, Ruijuan [2 ]
Fang, Jinggui [1 ]
机构
[1] Nanjing Agr Univ, Coll Hort, Nanjing 210095, Jiangsu, Peoples R China
[2] Jiangsu Acad Agr Sci, Inst Hort, Nanjing 210014, Peoples R China
关键词
Prunus persica; microRNAs; Computational prediction; qRT-PCR; miR-RACE; CONSERVED MICRORNAS; REGULATORY ROLES; ARABIDOPSIS; GENES; TARGETS; TIME; RNAS; DIVERGENCE; PREDICTION; PCR;
D O I
10.1007/s11033-011-0944-6
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Twenty-two potential miRNAs from seven miRNA families were first predicted from more than 80,857 EST sequences of peach (Prunus persica). Using two specific 50 and 30 miRNA RACE (miR-RACE) PCR reactions and sequence-directed cloning, we accurately determined the precise sequences, especially both ends, of eight candidate miRNAs. The sequencing results demonstrated that the ppe-miRNAs were conserved to those that were predicted computationally except ppe-miR171b. We validated the existence of two members (ppe-miR171a and miR171b) of the miR171 family in peach that belonged to different precursors. qRT-PCR was further employed in analyzing expression of the eight miRNAs in peach leaves, flowers, and fruits at different developing stages, where some of the miRNAs showed tissue-specific expression.
引用
收藏
页码:1975 / 1987
页数:13
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