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Benefit-sharing from DSI rests on the provider country's national framework. Where it requires bilateral benefit-sharing for DSI, those terms apply. Where it gives effect to the CBD multilateral mechanism, users of its publicly available DSI should share benefits through it: all users non-monetary benefits, as appropriate, and commercial users above set size thresholds also monetary contributions to the Cali Fund. Where it is silent on DSI, the position is not yet settled: check with the country's competent national authority, through the ABS service. Any terms agreed when the genetic resources were accessed still apply. Access and benefit-sharing questions are handled by the ABS service, not by the DataBank. Learn more →
taxon 54291Also known as: Raoultella ornithinolytica
No local or indigenous names recorded yet.
Not yet assessed
Occurrence records: Recorded mostly outside Africa. 9 of 709 GBIF records (1%) are from Africa (checked 10/12/2026). A hint from GBIF and the genomes on this Hub, not an assessment: GBIF includes zoo and travel records.
Species that share this one's nearest groups in NCBI Taxonomy. This is how they're classified, not a phylogeny. See it in the species tree.
Origin: hub
33 downloads
First synced: 10/11/2026 · Last updated: 10/12/2026
Source: NCBI GCF_058687805.1 · View at source ↗
Download annotation (GFF3) · Download CDS (FASTA) · Download proteins (FASTA)
Collection: Algeria
Sequencing: Illumina NextSeq · CLC NGS Cell v. 10.1.1 · 50x coverage
Released: 2026-06-30 · Submitted by: Paris Saclay University
publiccc0AFDSI-SEQ-6301 Benefit-sharing under CBD Decision 16/2 and national frameworks →Country of origin: DZ · PIC: unknown · MAT: unknown
GoaT: no record for this species (not eukaryotic, or not yet sequenced)
Publicly accessible — no request needed.
tesB — 287 aa
tesA — 207 aa
fadB — 729 aa
pyrG — 545 aa
thiI — 482 aa
trpD — 531 aa
ftsH — 644 aa
putA — 1320 aa
recB — 1182 aa
carB — 1074 aa
AlphaFold DB proteome: UP001350972 ↗
PaxDb — real per-protein abundance
hupA (54291.TE10_03530) — abundance 29780AFDSI-PROTEOMICS-1201
rpsN (54291.TE10_00140) — abundance 29712AFDSI-PROTEOMICS-1202
AJF75075.1 (54291.TE10_24825) — abundance 26870AFDSI-PROTEOMICS-1203
rpsQ (54291.TE10_00160) — abundance 23014AFDSI-PROTEOMICS-1204
mdh (54291.TE10_25170) — abundance 19875AFDSI-PROTEOMICS-1205
rpsG (54291.TE10_00235) — abundance 14446AFDSI-PROTEOMICS-1206
rpsF (54291.TE10_04455) — abundance 11520AFDSI-PROTEOMICS-1207
hns (54291.TE10_17485) — abundance 11271AFDSI-PROTEOMICS-1208
sucB (54291.TE10_09485) — abundance 11070AFDSI-PROTEOMICS-1209
ompA (54291.TE10_10610) — abundance 11048AFDSI-PROTEOMICS-1210
PRIDE — project-level reference (metadata only; no per-protein identifications are available via PRIDE's public API)
Proteomic profiling of saliva, salivary stones and kidney stones reveals candidate biomarkers of pathological calcification (PXD069065) ↗AFDSI-PROJREF-1058
pLDDT confidence: 95.6
Auto-synced from AlphaFold DB AF-A0A1Y6GLL3-F1 · View at source ↗
publiccc_byAFDSI-STRUCT-16700-V1pLDDT confidence: 90.9
Auto-synced from AlphaFold DB AF-A0A9Q9N0Y3-F1 · View at source ↗
publiccc_byAFDSI-STRUCT-16701-V1pLDDT confidence: 95.4
Auto-synced from AlphaFold DB AF-A0A1Y6GP85-F1 · View at source ↗
publiccc_byAFDSI-STRUCT-16702-V1pLDDT confidence: 93.9
Auto-synced from AlphaFold DB AF-A0A1Y6GJ35-F1 · View at source ↗
publiccc_byAFDSI-STRUCT-16703-V1pLDDT confidence: 90.2
Auto-synced from AlphaFold DB AF-A0A1Y6GLQ5-F1 · View at source ↗
publiccc_byAFDSI-STRUCT-16704-V1BioImage Archive: A lipid biosynthesis node coordinates inducible spatial defense and enables metabolic preconditioning against biofilm infections (View on source archive ↗)AFDSI-CELL-3660
BioImage Archive: ChemoTrack: A comprehensive dataset linking single-cell migration trajectories to precisely defined chemotactic signals (View on source archive ↗)AFDSI-CELL-3664
BioImage Archive: Holotomographic datasets in OME-Zarr format for compression benchmarking of holotomographic data (View on source archive ↗)AFDSI-CELL-3666
BioImage Archive: Label free imaging reveals that cellular physiology is encoded in bacterial community architecture (View on source archive ↗)AFDSI-CELL-3669
BioImage Archive: Label free imaging reveals that cellular physiology is encoded in bacterial community architecture (View on source archive ↗)AFDSI-CELL-3670
BioImage Archive: Simple imaging system for label-free identification of bacterial pathogens in resource-limited settings (View on source archive ↗)AFDSI-CELL-3659
BioImage Archive: Deep learning recognises antibiotic modes of action from brightfield images (View on source archive ↗)AFDSI-CELL-3661
BioImage Archive: ChemoTrack: A comprehensive dataset linking single-cell migration trajectories to precisely defined chemotactic signals (View on source archive ↗)AFDSI-CELL-3663
BioImage Archive: Holotomographic datasets in OME-Zarr format for compression benchmarking of holotomographic data (View on source archive ↗)AFDSI-CELL-3665
BioImage Archive: Simple imaging system for label-free identification of bacterial pathogens in resource-limited settings (View on source archive ↗)AFDSI-CELL-3662
9 real GBIF-recorded occurrences across Africa — see this species on GBIF ↗.
This reflects real occurrence records submitted to GBIF, not a comprehensive range map — sampling effort varies significantly by country and region, so an absence here doesn't mean the species isn't present.
A node's own derived bioinformatics-analysis output (e.g. an SSR/microsatellite discovery archive) run against this species' own genome data — see the Derived Analysis page for the full catalog.
MegaSSR — ssr_discovery
derived from genome record AFDSI-SEQ-6301
File: GCF_058687805.1_megassr_results.tar.gz
Tool version: MegaSSR v3.0.0 (UM6P patched)
Native — captured by Northern-MA-UM6P-8787752738 · View at source ↗
cc_by public Country of origin not recorded: see how benefit-sharing works →
AFDSI-ANALYSIS-20620There are more related species. Open the species tree to see them all.