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Previous release (v1)
2026-01-14 11:10:58, GGRNA.v2 : RefSeq release 232 (Sep, 2025)
LOCUS XR_008258633 2673 bp RNA linear INV 13-JAN-2023
DEFINITION PREDICTED: Mya arenaria uncharacterized LOC128219708
(LOC128219708), transcript variant X1, ncRNA.
ACCESSION XR_008258633
VERSION XR_008258633.1
DBLINK BioProject: PRJNA918361
KEYWORDS RefSeq.
SOURCE Mya arenaria
ORGANISM Mya arenaria
Eukaryota; Metazoa; Spiralia; Lophotrochozoa; Mollusca; Bivalvia;
Autobranchia; Heteroconchia; Euheterodonta; Imparidentia;
Neoheterodontei; Myida; Myoidea; Myidae; Mya.
COMMENT MODEL REFSEQ: This record is predicted by automated computational
analysis. This record is derived from a genomic sequence
(NC_069136) annotated using gene prediction method: Gnomon.
Also see:
Documentation of NCBI's Annotation Process
##Genome-Annotation-Data-START##
Annotation Provider :: NCBI RefSeq
Annotation Status :: Full annotation
Annotation Name :: GCF_026914265.1-RS_2023_01
Annotation Pipeline :: NCBI eukaryotic genome annotation
pipeline
Annotation Software Version :: 10.1
Annotation Method :: Gnomon; cmsearch; tRNAscan-SE
Features Annotated :: Gene; mRNA; CDS; ncRNA
##Genome-Annotation-Data-END##
FEATURES Location/Qualifiers
source 1..2673
/organism="Mya arenaria"
/mol_type="transcribed RNA"
/isolate="MELC-2E11"
/db_xref="taxon:6604"
/chromosome="15"
/sex="female"
/tissue_type="Siphon/mantle"
/geo_loc_name="USA: Larrabe Cove, Machiasport, ME"
/collection_date="2018-06-01"
gene 1..2673
/gene="LOC128219708"
/note="uncharacterized LOC128219708; Derived by automated
computational analysis using gene prediction method:
Gnomon."
/db_xref="GeneID:128219708"
ncRNA 1..2673
/ncRNA_class="lncRNA"
/gene="LOC128219708"
/product="uncharacterized LOC128219708, transcript variant
X1"
/db_xref="GeneID:128219708"
ORIGIN
tttgcggcatggtgacttccggtttatttccgggttatgacgaagtacaataacagcgataaatacggacaaattatcattccagatgattcaaatatgctgatgttaccttctgagatcattactttcaatgaagaacagcactacaattggttgggctgctagattggtagatccgtgatggacagctaatacctgacatgctattgttagtttggcatctattgcttactcgataaaacagcctcaagtcaacgttgtaagtgctccgtcaccatgatgtgtcactgtggtacgaaaggattgggatcaagtatgctaactgctatgcggattgttgagagcaatatgatgagggaaggcaggaaagagtcttattgtctgtatgtactcaaaatggtgttcgagaggtggcgaataaggatttgcttgcagcattgaagaacgataatgtgcaaagaacaaaaagaaaggttctcttaacatagaaagtaaagaaataatgaagttcacactacagctgacaatctggatgtgtttcctttgttatttgaacatgatttattttaacttacataacaagtatgcactacaataatgaatatctatattaatagtaatgatattccatttaacatggatatggaaaaaatattctttgacaatgcaagataagataaatccagacatagtcagagtcttcagttaacttggatgtgttccatttgtttcatccacatacttgaaatttgtcttgtaactacgtgtatttttatgaggttaagtggtgagtaatcaacttttatcataacattttcttatttggggatagtatgtatttatattgacactatgtgtaccttcattctcttcatttttctgttcaaaacaagaccaaatgtgtcattttagtttaaccattttaaactgtatttattatactcttcattaaatacctattcgtatattatcaaacattttaacaaatttaaatgtgtttgttattatgtctccccctctctgggggagacatattgtttttgccctgtccgtcagtccggtagtccggtagtccgtcagtccgtccgtacgtcacacttcgtttccgatcgataactggaaaaccgcatgacctaggatcaccaaacttggtagggaggttggtcgtgaggtgtagaggatccctattgtttttggggtcactaggtcaaaggtcaaggtcgcggcgacccccaatataaaaaacatttctgctcaaaatcttgagaacggtttgacctaggttcaccaaacttggtagggaggttggtcatgaggtgtagaagatcccctattgtttttggggtcactaggtcaaaggtcaaggtcgcggcgacccccaatgtaaaaaacatttccgctcaatatcttgagaatggtttgacctaggttcaccaaacttggtagggaggttgatcatgaggtttagaaaactcctatattttggggggtcacaaggtcaaaggtcaacgtcgctgtgacctctaatgtaaaaaaatattttcgtgcaatatcaggagaatgctttgatctaggttcaccaaactatgaagtgaggttggtcatgatgtctagttcctattgattttgattgaaatcagtaggtcaaaggtcaaggtcactgtgaccttgaggtgaagaaacagtttctgctcagtaactaaagaacgcttgcacccaggaacttcatacttggtatgctagtgggtcatgactagaagatgacccctattgattttggggtcactaggttaaagatcaaggtcaccctgatcttgaggtgaagaaactgtttccgctcaataactaaagatccttgggtctaggaacttcatacttggtatgctagttggtcatgactagtagatgactccaattgattttgagatcagtaggtcaaaggtcaaggtcaccctgaccttgaggtgaagaaacggtttcggctctataactaaataacgcttgcacccaggaacttcatacttggtatgctagttggtcatgactagtagatgactccaattgattttgagatcagtaggtcaaaggtcaaggtcaccctgaccttgaggtgaaggaacggtttccgctctataactaaataacgcttgcacccaggaacttcatacttggtatgctagttggtcatgactagtagatgactcctattgattttgagatcagtaggtcaaggtcaccatgaccttgaggtgaagaaacggtttctgctcaataactcaagaatgcttacacccaggaacttcatacttggtatgctagttggtcatgactagtagataactcttattgattttgcgatcagttggtcaaaggtcaaggtcactgaccttgaggtgaagaaacggtttctgctcaatagctcaagaacgcttacacccaggaacttcatacttggtatgtcagttagtcatgactaattgatggcccaaatttcatgtccatctaatgtttgctttcagttaaggctgtatagattctaatgtttatcttaagttgaggctgtatagattccaatgtttgtcttaagctgaggctgtatagatcctaatgtttgtcttcagttgaggctgttcagttgaagctgtatagattctaatgtttgtcttcagttga
//
by
@meso_cacase at
DBCLS
This page is licensed under a
Creative Commons Attribution 4.0 International License (CC BY 4.0).
If you use GGRNA in your work, please cite:
Naito Y, Bono H. (2012)
GGRNA: an ultrafast, transcript-oriented search engine for genes and transcripts.
Nucleic Acids Res., 40, W592-W596.
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