2024-05-16 23:57:34, GGRNA.v2 : RefSeq release 222 (Jan, 2024)
LOCUS XM_048777789 2833 bp mRNA linear PLN 23-JUN-2022 DEFINITION PREDICTED: Brassica napus protein CLAVATA 3 (LOC106449970), mRNA. ACCESSION XM_048777789 VERSION XM_048777789.1 DBLINK BioProject: PRJNA844685 KEYWORDS RefSeq. SOURCE Brassica napus (rape) ORGANISM Brassica napus Eukaryota; Viridiplantae; Streptophyta; Embryophyta; Tracheophyta; Spermatophyta; Magnoliopsida; eudicotyledons; Gunneridae; Pentapetalae; rosids; malvids; Brassicales; Brassicaceae; Brassiceae; Brassica. COMMENT MODEL REFSEQ: This record is predicted by automated computational analysis. This record is derived from a genomic sequence (NC_063437) annotated using gene prediction method: Gnomon. Also see: Documentation of NCBI's Annotation Process ##Genome-Annotation-Data-START## Annotation Provider :: NCBI Annotation Status :: Full annotation Annotation Name :: Brassica napus Annotation Release 102 Annotation Version :: 102 Annotation Pipeline :: NCBI eukaryotic genome annotation pipeline Annotation Software Version :: 9.0 Annotation Method :: Best-placed RefSeq; Gnomon Features Annotated :: Gene; mRNA; CDS; ncRNA ##Genome-Annotation-Data-END## FEATURES Location/Qualifiers source 1..2833 /organism="Brassica napus" /mol_type="mRNA" /cultivar="Da-Ae" /db_xref="taxon:3708" /chromosome="A4" /tissue_type="Seedling" /dev_stage="Seedling" /country="USA" gene 1..2833 /gene="LOC106449970" /note="Derived by automated computational analysis using gene prediction method: Gnomon. Supporting evidence includes similarity to: 5 Proteins, and 100% coverage of the annotated genomic feature by RNAseq alignments, including 12 samples with support for all annotated introns" /db_xref="GeneID:106449970" CDS 57..341 /gene="LOC106449970" /codon_start=1 /product="protein CLAVATA 3" /protein_id="XP_048633746.1" /db_xref="GeneID:106449970" /translation="
MDSRTLVLLLLFCLMFLHDASDITHANANVHALPIRKMMVMKKDNEWGGANGIEEEKEKVFGLNEELRTVPSGPDPLHHHVNPPRKPRTDSHIP"
ORIGIN
attaccagagtaaagaacaacttctatcttttatatactctatctctctctacaaaatggattcgaggactctggtgctactgctgctcttttgcctcatgttcctgcatgatgcttctgatatcactcacgccaatgccaatgttcatgcacttcccattcgcaagatgatggtaatgaagaaggataatgaatggggaggagcaaatggaattgaagaagagaaggagaaggttttcgggttaaatgaagaactaaggactgtcccttcaggacctgaccctttgcaccatcatgtgaaccccccaagaaagccacgaaccgactctcatatcccttaaacctcctttttttttctatgtatttcgtattataaattaactctgctgtttaatcggtttcatgttgagggattttctgttttatccctcactttccctaaggttgtgattatagttaatgtaagataagcaccacttttgtttcccatggatctatttaggaaccccattttgatgtattggcgacaaattaaaaacttcttcaagacaatattatatgccgttggggaatgtattagtacttttgcgattgtcaaggcagcttattaatggaaatgacagtaataactatatcaaaacatatagtaatgatgatgatgaattgatgatgttgtgggaagtataaatggaatcggcagtgacaggcagtgtcagtgtcaaagatgaccatttgtagtcacaagttgtatcgaaggctaccgttgtggaggagtaaccatacgacacacatatggttttaatagtacggagtctgaaaatatcgatattgtgatggcataataactaacctagagagctaattattatccttagtgataccaaatctatatgatacgatattattggtatagaagagtaaagtgactgatacttgagatgtgacactggcgatttcgctcacgtcaccactttgccctcctcaaagatcgcttacggctttatccattcacttttccgtatctttcaaatacaatttaaattgtatttttattaaaatcggtgttataagaaaattatcactattattacaggctttccatgttcttataattgctggaaataatactaaagttatcgtcaatttcgttctttcctccagtgtcatcccaaaacttgttttggtgtaacgagaattttcatacgtactttaaaatcaagcagatatatttccatatcctttttttggtaacagaaacaagaaaattaaaaagaacgcaccaggcaaaaaatttccatatgctattaaacaagaaataactaatttacataactgcaaaccagttatttttttattaatttaaaatgctacaagaaaataatatgagtttaaaataactaattaaagggtatgactggtttctctgctaccacccgcaaatacagcttttgcggttggtagcggttgttggcattttgcaacaatcactcaaatcgttctaaaccgtttcaaatcgttctaaacctcataaattcaaaagctggttccagttaacgtatgtggttgcaggaggataattttttttaaacactataaatacaaaaataaaaatattcaataaaaaatttaaattagaattataaaaaaaatgaaaaatatatctattatattttaattaatattataaaattttaaaataaagatattatctataatttaaaaaaaattaaaactataactttctaaatatatttttatatttattataatattatgatttttgatattttgatatttttataattttagaaaatgtaaatattattaatttattatttaaccgttgttgtatttagtagttaactaatcatagatattctgtaaatgcactaatttctaaccgtataaccaatcgtacaaatctcttaaaactgctagaaaccgcgaccacccgcatccgcaaaatttcgcaacatcaaccgctgcgtttgaaccagccaggtcctaaatgtgtcgaaacttaataatccattttatctatggagtgattcttgggatttagcatatctgattttgtcgtccattttttgattcttggataacgtcttatctgattttggattagaggctgattcattcggaaaacacaaaaaaaaattgaaatcaagcaataaaaggaagaaactttatcggaaataaaacgataacaaaagaacaaaatttttgggtgtgattgaaaggtctaatagagtaaaattttactctagatcaatatttactctatattgagctaaaatgttaccaatcaagtggaatataattttttttatttactctatgtactgtgcacaaataggaaaagacacactaaatattgttctgagttatgttagagataaaattttattctggatactttcttctttcatttttcacttttttcatttttttctgattttcactctttcatttactctcatttcttcttatatttactaatcacactcttcatctttcctctaaaccacatctgctgttatttcatcaagtacctgtatgaaagaattgagagaaatgatatagtcgttactacattaaaaaaacattgtttctaaagggtagttcgaatcttggttgtggtgaaagggtttccactttaaaaattcaaccactagaccaaagacgacttttccatacattattgcatttgttttaggttttaaccattgttttgtttagtttaacgattttattgattaacagaaccggacttggaataaacagttttttcaagtgataatatgaagatgtttccttcatttaaaaattccga
//
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.
[Full Text]