miRNEST 2.0: an integrative microRNA resource miRNEST 2.0, an integrative microRNA resource :: Browse

Species belonging to selected taxon:

Arachis duranensis, Arachis hypogaea, Arachis ipaensis, Cucumis melo subsp. melo, Euonymus alatus, Euphorbia esula, Fagus sylvatica, Fragaria vesca, Fragaria x ananassa, Glycine soja, Glycyrrhiza uralensis, Hevea brasiliensis, Humulus lupulus, Jatropha curcas, Juglans hindsii x Juglans regia, Linum usitatissimum, Lotus japonicus, Manihot esculenta, Medicago sativa, Phaseolus acutifolius, Phaseolus coccineus, Pisum sativum, Populus deltoides, Populus euphratica, Populus nigra, Populus tremula, Populus tremula x Populus alba, Populus tremula x Populus tremuloides, Populus tremuloides, Populus trichocarpa x Populus nigra, Populus x canadensis, Prunus armeniaca, Prunus persica, Quercus petraea, Quercus robur, Trifolium pratense, Bruguiera gymnorhiza, Cajanus cajan, Cicer arietinum, Glycine max, Vigna unguiculata, Medicago truncatula, Populus trichocarpa, Phaseolus vulgaris, Ricinus communis, Populus trichocarpa x Populus deltoides



ABOUT THIS RECORD

ID: MNEST001448
species: Lotus japonicus
miRNA family: MIR477
source: miRNEST

Taxonomy by NCBI:
Lotus japonicus Lotus Loteae Papilionoideae Fabaceae Fabales fabids rosids core eudicotyledons eudicotyledons Magnoliophyta Spermatophyta Euphyllophyta Tracheophyta Embryophyta Streptophytina Streptophyta Viridiplantae Eukaryota cellular organisms






SEQUENCE & STRUCTURE
miRNA
 ACTCTCCCTCAAGGGCTTCTT

miRNA*
 GAGGCCCTTAGGAGGAGTTA

mismatches: 1
bulges: 1
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pre-miRNA
 TTTGGTTGTTCACTCTCCCTCAAGGGCTTCTTAGCAGGACCATCTAATTAATGACCATTGGGTCCACGAACGAGCTAGGCAAGAGGCCCTTAGGAGGAGT
TAATAAGCTG

dot-bracket secondary structure
...(((((((.(((((.(((.(((((((((((.((.((....((........((((....)))).......)).))..)))))))))))))))).)))))
.))))).)).


SIMILARITIES
miRBase csi-MIR477b: 0.000001

PMRD aqc-miR477g: 0.00002

microPC no hits		UniProt no hits

RFAM MIR473: 0.00009		most similar mature miRNAs

MORE

miRNEST target predictions
non-miRNEST targets: none
HuntMi prediction: true miRNA
Source sequences
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