Noviherbaspirillum humi (KEMB 7305-102, JCM 19873)

Name: Noviherbaspirillum humi (KEMB 7305-102, JCM 19873)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162645

Type strain

Culture col. no. KEMB 7305-102 JCM 19873

NCBI tax ID(s) 1688639

Special Collections JCM

History JCM <-- S.-S. Lee U15.

Links

Noviherbaspirillum humi JCM 19873 is a bacterium that was isolated from Soil of Sadky region.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 394469

JCM 19873

@ref 20215

Last LPSN update 2026-05-29 08:44:59

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Oxalobacteraceae

Genus Noviherbaspirillum

Species Noviherbaspirillum humi

Full scientific name Noviherbaspirillum humi Sundararaman et al. 2017

BacDive ID	Other strains from **Noviherbaspirillum humi** (1)	Type strain
162646	N. humi JCM 19874

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.108
125438	negative	97.994

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	92.949

Spore formation

@ref	Spore formation	Confidence
125439		99.108

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Soil of Sadky region	Ukraine	UKR	Europe

Taxonmaps

69479

Global distribution of 16S sequence KP763493 (>99% sequence identity) for Noviherbaspirillum humi subclade from Microbeatlas

Aquatic Samples	66
Soil Samples	327
Animal Samples	97
Plant Samples	113
Total Samples	603

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2706794914 annotated assembly for Noviherbaspirillum humi U15	scaffold	GCA_900188095	1688639.3	2706794914	1688639	67.03

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Noviherbaspirillum humi strain U15 16S ribosomal RNA gene, partial sequence	KP763493	1442		1688639

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2706794914 annotated assembly for Noviherbaspirillum humi U15
NCBI: GCA_900188095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	96.11	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.95	no
125439	motility	BacteriaNetⓘ	yes	66.10	no
125439	spore_formation	BacteriaNetⓘ	no	99.11	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Noviherbaspirillum humi U15
NCBI: GCA_900188095.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.99	no
125438	anaerobic	anaerobicⓘ	no	97.58	no
125438	aerobic	aerobicⓘ	yes	89.25	no
125438	spore-forming	spore-formingⓘ	no	85.31	no
125438	thermophilic	thermophileⓘ	no	95.34	yes
125438	flagellated	motile2+ⓘ	yes	82.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Noviherbaspirillum humi sp. nov., isolated from soil.	Sundararaman A, Srinivasan S, Lee SS	Antonie Van Leeuwenhoek	10.1007/s10482-016-0670-0	2016

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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Noviherbaspirillum humi (KEMB 7305-102, JCM 19873)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900188095

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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