The Bencao (Herbal) Database（本草数据库）

  1. OmicsAtlas
  2. TranscriptomeAtlas
  3. miRNA Atlas
  4. miR159
  5. gma-miR159ar

Accession: B34156842

Entry

ID: gma-miR159ar
Alias: F1317.J000017.A11
Sequence: UUUGGAUUGAAGGGAGCUG
Description: microRNA MIR159 predicted
Species: 大豆  Species latin name: Glycine max
TCM Name: Dadouhuangjuan(大豆黄卷)   Dandouchi(淡豆豉)   Heidou(黑豆)  
TCM Resource (Sample number): 大豆黄卷(1) 黑豆(1)
Predicted by Mirnovo: -
Evidence support: Infernal
Experimental status: Not yet

Homologs

miRBase Homologs

None

Bencao Homologs

gma-miR159ar; lpu-miR159be; mca-miR159aq; pvl-miR159al;

Rfam Alignments

>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0073   16.5   0.0  cm      164      181 ~.           1          18 + ~. 1.00    5' 0.44
                                   ???????  ??????? NC
                          ~~~~~~~-->>>>>>>-->>>>>>> CS
               MIR159  14 <[150]*uUUGGAcuGAAGGGAGCU 181
                                 UUUGGA UGAAGGGAGCU
         pvl-miR159al   1 <[  0]*UUUGGAUUGAAGGGAGCU 18
                          .......****************** PP

Targets

Predicted by TargetFinder

NM_000240 ;   NM_000506 ;   NM_001001659 ;   NM_001077484 ;   NM_001080383 ;   NM_001164766 ;   NM_001167671 ;   NM_001167672 ;   NM_001170637 ;   NM_001171109 ;   NM_001171110 ;   NM_001171111 ;   NM_001198595 ;   NM_001199633 ;   NM_001267798 ;   NM_001270458 ;   NM_001271634 ;   NM_001278387 ;   NM_001278388 ;   NM_001278389 ;   NM_001278390 ;   NM_001284206 ;   NM_001284207 ;   NM_001284395 ;   NM_001288824 ;   NM_001288825 ;   NM_001288826 ;   NM_001288827 ;   NM_001288828 ;   NM_001292018 ;   NM_001292019 ;   NM_001301212 ;   NM_001308142 ;   NM_001309426 ;   NM_001309427 ;   NM_001311257 ;   NM_001320652 ;   NM_001320800 ;   NM_001351444 ;   NM_001354682 ;   NM_001354684 ;   NM_001354685 ;   NM_001354686 ;   NM_001365037 ;   NM_001365038 ;   NM_001365039 ;   NM_001365040 ;   NM_001365041 ;   NM_001365411 ;   NM_001365412 ;   NM_001365413 ;   NM_001365414 ;   NM_001367774 ;   NM_001368133 ;   NM_001763 ;   NM_003559 ;   NM_003861 ;   NM_004113 ;   NM_004762 ;   NM_005260 ;   NM_005444 ;   NM_005445 ;   NM_005497 ;   NM_005578 ;   NM_006456 ;   NM_006873 ;   NM_006885 ;   NM_006910 ;   NM_006977 ;   NM_007170 ;   NM_014048 ;   NM_014906 ;   NM_014954 ;   NM_015021 ;   NM_015326 ;   NM_015473 ;   NM_017456 ;   NM_017553 ;   NM_017672 ;   NM_018703 ;   NM_018843 ;   NM_020212 ;   NM_021032 ;   NM_022127 ;   NM_030674 ;   NM_031216 ;   NM_031889 ;   NM_032505 ;   NM_138694 ;   NM_170724 ;   NM_173698 ;   NM_198279 ;   NR_002208 ;   NR_003061 ;   NR_037638 ;   NR_038320 ;   NR_038332 ;   NR_048561 ;   NR_073390 ;   NR_104038 ;   NR_104261 ;   NR_134315 ;   NR_135572 ;   NR_138467 ;   NR_138468 ;   NR_147896 ;   NR_149152 ;   NR_149153 ;   NR_149154 ;  

Predicted by TAPIR

NM_000291 ;   NM_001001659 ;   NM_001080383 ;   NM_001171109 ;   NM_001171110 ;   NM_001171111 ;   NM_001195272 ;   NM_001198595 ;   NM_001257069 ;   NM_001288824 ;   NM_001288825 ;   NM_001288826 ;   NM_001288827 ;   NM_001288828 ;   NM_001301212 ;   NM_001304548 ;   NM_001307943 ;   NM_001308142 ;   NM_001309426 ;   NM_001309427 ;   NM_001311257 ;   NM_001320652 ;   NM_001353980 ;   NM_001365411 ;   NM_001365412 ;   NM_001365413 ;   NM_001365414 ;   NM_001367774 ;   NM_001763 ;   NM_005260 ;   NM_005445 ;   NM_005497 ;   NM_006456 ;   NM_006873 ;   NM_006910 ;   NM_014048 ;   NM_014409 ;   NM_014906 ;   NM_015473 ;   NM_017672 ;   NM_018259 ;   NM_018703 ;   NM_018847 ;   NM_021080 ;   NM_031216 ;   NM_033400 ;   NM_033632 ;   NM_138694 ;   NM_170724 ;   NM_173698 ;   NM_198279 ;   NR_048561 ;   NR_134315 ;   NR_135572 ;   NR_149152 ;   NR_149153 ;   NR_149154 ;