Polynucleobacter parvulilacunae (DSM 103416, Ross1-W9, JCM 32561)

Name: Polynucleobacter parvulilacunae (DSM 103416, Ross1-W9, JCM 32561)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169986

Type strain

Strain Designation Ross1-W9

Culture col. no. DSM 103416 Ross1-W9 JCM 32561

NCBI tax ID(s) 1855631

Special Collections JCM DSMZ

Links

Polynucleobacter parvulilacunae Ross1-W9 is a prokaryote of the family Burkholderiaceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 133660

JCM 32561

@ref 20215

Last LPSN update 2026-02-09 11:41:09

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Burkholderiaceae

Genus Polynucleobacter

Species Polynucleobacter parvulilacunae

Full scientific name Polynucleobacter parvulilacunae Hahn et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95.833
125439	negative	99.7

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.1

Spore formation

@ref	Spore formation	Confidence
125439		99.8
125438		95.541

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1888171v1 assembly for Polynucleobacter parvulilacunae Ross1-W9	contig	GCA_018881715	1855631.3	2608642178	1855631	73.47

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Polynucleobacter sp. strain Ross1-W9 16S ribosomal RNA gene, partial sequence	OK037147	1367		2029855

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Polynucleobacter parvulilacunae Ross1-W9
NCBI: GCA_018881715

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.80	no
125439	motility	BacteriaNetⓘ	yes	83.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Polynucleobacter parvulilacunae Ross1-W9
NCBI: GCA_018881715.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.83	no
125438	anaerobic	anaerobicⓘ	no	91.38	no
125438	aerobic	aerobicⓘ	yes	83.30	no
125438	spore-forming	spore-formingⓘ	no	95.54	no
125438	thermophilic	thermophileⓘ	no	95.76	no
125438	flagellated	motile2+ⓘ	no	78.48	no

Literature

References

#20215	Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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