Lactococcus lactis (DSM 30863, E9)

Name: Lactococcus lactis (DSM 30863, E9)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14705

Type strain

Strain Designation E9

Culture col. no. DSM 30863 E9

NCBI tax ID(s) 1358

Special Collections DSMZ ESA

History DSMZ <- P. Rettberg, Deutsches Zentrum Für Luft- und Raumfahrt <- A. Frühling, DSMZ; E9

Links

Lactococcus lactis E9 is a microaerophile bacterium that was isolated from SMART-1, spacecraft associated clean room.

microaerophile genome sequence Bacteria

Name and taxonomic classification

SI-ID 407374

DSM 30863

@ref 20215

Last LPSN update 2026-05-29 08:28:21

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Lactococcus

Species Lactococcus lactis

Full scientific name Lactococcus lactis (Lister 1873) Schleifer et al. 1986

Synonyms (4)

Lactobacillus xylosus
"Bacterium lactis"
Streptococcus lactis
Streptococcus lactis subsp. diacetilactis

BacDive ID	Other strains from **Lactococcus lactis** (42)	Type strain
14702	L. lactis OJ, N30, DSM 20481, ATCC 19435, CCM 1877, ... (type strain)
14694	L. lactis Citrate plasmid, F7/2, DSM 4366
14699	L. lactis 117, DSM 20175, ATCC 15577, CCUG 21962, NRRL ...
14700	L. lactis 54296, DSM 20384
14701	L. lactis 5, DSM 20250
14703	L. lactis 2, DSM 20661, NCDO 176
14704	L. lactis Berridge X 13, DSM 20729, ATCC 11454, CCM ...
134825	L. lactis N34, RICE, CIP 70.57
134851	L. lactis CIP A216
135401	L. lactis H 214, N35, CIP 70.58
136206	L. lactis CIP 103449, JCM 7638
138955	L. lactis J4 conserves, CIP A217
138966	L. lactis J4 Alger, CIP A218
139482	L. lactis 129.86, CIP 102103
143933	L. lactis CCUG 21956, NCIMB 10493, ATCC 11007, LMG ...
145429	L. lactis CCUG 28474
146507	L. lactis CCUG 31342
146700	L. lactis CCUG 31972
146846	L. lactis CCUG 32225
148267	L. lactis CCUG 35127 B
149871	L. lactis CCUG 38585
150979	L. lactis CCUG 42927
151600	L. lactis CCUG 44423
152071	L. lactis CCUG 45692
152072	L. lactis CCUG 45693
152073	L. lactis CCUG 45695
152621	L. lactis CCUG 47216
152790	L. lactis CCUG 47618
154162	L. lactis CCUG 52621
154377	L. lactis CCUG 53296
155625	L. lactis CCUG 58504
155919	L. lactis CCUG 59643
156113	L. lactis CCUG 60423
156342	L. lactis CCUG 61221
160084	L. lactis SV21, DSM 27303
160085	L. lactis SB 17, DSM 111832
160086	L. lactis SB 352, DSM 111868
160087	L. lactis SB 150, DSM 111869
160088	L. lactis SB 261, DSM 111870
162165	L. lactis JCM 18008, FERM AP-21288
169254	L. lactis CLA-AV-14, DSM 110082
174486	L. lactis A537/21, DSM 117780

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		90.5
125438		91.865	positive

Multimedia

@ref:	17855
multimedia content:	DSM_30863.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_30863.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17855	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17855	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
17855	microaerophile
125439	obligate aerobe	93.82

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Built environment	#Clean room

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17855	SMART-1, spacecraft associated clean room	Noordwijk, European Space Research and Technology Centre (ESTEC)	Netherlands	NLD	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
17855	yes, in single cases	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	Lactococcus lactis strain FDAARGOS_867	complete		1358.1499	1358	98.32
66792	Lactococcus lactis strain FDAARGOS_867	complete		1358.1478	1358	98.32
124043	ASM2022175v1 assembly for Lactococcus lactis FDAARGOS_867	complete	GCA_020221755	1358.1412	1358	97.96

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lactococcus lactis strain FDAARGOS_867
BV-BRC: 1358.1478

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.82	no
125439	motility	BacteriaNetⓘ	no	75.00	no
125439	gram_stain	BacteriaNetⓘ	positive	57.19	no
125439	spore_formation	BacteriaNetⓘ	no	88.78	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactococcus lactis strain FDAARGOS_867 strain Not applicable
PATRIC: 1358.1499

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.87	no
125438	anaerobic	anaerobicⓘ	no	89.84	yes
125438	spore-forming	spore-formingⓘ	no	84.09	no
125438	aerobic	aerobicⓘ	no	96.34	yes
125438	thermophilic	thermophileⓘ	no	98.00	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

References

#17855	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30863
#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) .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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