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BacDive ID 130450
Type strain
Culture col. no. CCUG 68431 CIP 110549 DSM 29975 CECT 8127 LMG 26958 SAP 763.2 1 more
NCBI tax ID(s) 1392540 1219382
Links
For citation purpose refer to the digital object identifier (doi) of the current version.

Archive

version 10 (current version):
version 10 (current version)

General

@ref: 21451

BacDive-ID: 130450

DSM-Number: 29975

keywords: genome sequence, 16S sequence, aerobe, mesophilic, Gram-negative, ovoid-shaped

description: Acinetobacter nectaris CCUG 68431 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from Floral nectar of the plant species Muscari comosum.

NCBI tax id

NCBI tax idMatching level
1219382species
1392540strain

strain history

@refhistory
21451<- CECT <- S. Álvarez-Pérez, CSIC, Estación Biológica de Doñana
121255CIP <- 2012, CECT <- Alvarez-Perez strain: SAP 763.2

doi: 10.13145/bacdive130450.20251217.10

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: kingdom/pseudomonadati
  • keyword: phylum/pseudomonadota
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Pseudomonadales
  • family: Moraxellaceae
  • genus: Acinetobacter
  • species: Acinetobacter nectaris
  • full scientific name: Acinetobacter nectaris Álvarez-Pérez et al. 2013

@ref: 21451

domain: Bacteria

phylum: Proteobacteria

class: Gammaproteobacteria

order: Pseudomonadales

family: Moraxellaceae

genus: Acinetobacter

species: Acinetobacter nectaris

full scientific name: Acinetobacter nectaris Álvarez-Pérez et al. 2013

type strain: yes

Morphology

cell morphology

@refgram staincell lengthcell widthcell shapemotilityconfidence
30741negative1.5 µm1.5 µmovoid-shapedno
125438negative99.985
125439negative99.5
121255oval-shapedno

colony morphology

@refincubation period
214511-2 days
634851 day

pigmentation

  • @ref: 30741
  • production: yes

Culture and growth conditions

culture medium

@refnamegrowthcompositionlink
42140MEDIUM 29- Brain heart agaryesDistilled water make up to (1000.000 ml);Brain heart infusion agar (52.000 g)
21451TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)yesName: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled waterhttps://mediadive.dsmz.de/medium/535
21451NUTRIENT AGAR (DSMZ Medium 1)yesName: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled waterhttps://mediadive.dsmz.de/medium/1
121255CIP Medium 29yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=29

culture temp

@refgrowthtypetemperature
21451positivegrowth30
30741positiveoptimum25-30
42140positivegrowth25
63485positivegrowth30

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
30741aerobe
63485aerobe
125439obligate aerobe97.6

spore formation

@refspore formationconfidence
30741no
125438no95.765
125439no98.3

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
3074122653asparagine+carbon source
3074135391aspartate+carbon source
3074128757fructose+carbon source
3074129987glutamate+carbon source
3074125115malate+carbon source
3074137684mannose+carbon source
3074126271proline+carbon source
3074130031succinate+carbon source
3074117992sucrose+carbon source
6836925115malate+assimilation
6836917128adipate-assimilation
6836927689decanoate-assimilation
6836924265gluconate+assimilation
6836917306maltose-assimilation
6836959640N-acetylglucosamine-assimilation
6836916899D-mannitol-assimilation
6836916024D-mannose-assimilation
6836930849L-arabinose-assimilation
6836917634D-glucose+assimilation
683695291gelatin-hydrolysis
683694853esculin-hydrolysis
6836916199urea-hydrolysis
6836929016arginine-hydrolysis
6836917634D-glucose+fermentation
6836927897tryptophan-energy source
6836917632nitrate-reduction

metabolite production

  • @ref: 68369
  • Chebi-ID: 35581
  • metabolite: indole
  • production: no

metabolite tests

  • @ref: 68369
  • Chebi-ID: 35581
  • metabolite: indole
  • indole test: -

enzymes

@refvalueactivityec
21451catalase+1.11.1.6
30741catalase+1.11.1.6
68369gelatinase-
68369beta-glucosidase-3.2.1.21
68369urease-3.5.1.5
68369arginine dihydrolase-3.5.3.6

API 20NE

@refNO3TRPGLU_ FermADH ArgUREESCGELPNPGGLU_ AssimARAMNEMANNAGMALGNTCAPADIMLTCITPAC
21451--+-----+-----+--+--

Isolation, sampling and environmental information

isolation

@refsample typehost speciesgeographic locationcountryorigin.countrycontinentsampling date
21451Floral nectar of the plant species Muscari comosumMuscari comosumHinojos (Huelva)SpainESPEurope
63485Floral nectar,plant species Muscari comosumHuelvaSpainESPEurope2011
121255Plant, Floral nectar of wild mediterranean insect-pollinated plants. host plant = Muscari comosumHinojos (Huelva, Spain)SpainESPEurope

isolation source categories

Cat1Cat2Cat3
#Host#Plants#Herbaceous plants (Grass,Crops)
#Host Body-Site#Plant#Flower
#Host Body Product#Plant#Nectar

taxonmaps

  • @ref: 69479
  • File name: preview.99_1188.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_8;96_695;97_810;98_938;99_1188&stattab=map
  • Last taxonomy: Acinetobacter nectaris
  • 16S sequence: JQ771132
  • Sequence Identity:
  • Total samples: 5475
  • soil counts: 310
  • aquatic counts: 1357
  • animal counts: 3298
  • plant counts: 510

Interaction and safety

risk assessment

@refbiosafety levelbiosafety level comment
214511Risk group (German classification)
1212551Risk group (French classification)

Sequence information

Genome sequences

  • @ref: 66792
  • description: Acin_nect_CIP110549_V2 assembly for Acinetobacter nectaris CIP 110549
  • assembly level: scaffold
  • INSDC accession: GCA_000488215
  • BV-BRC accession: 1392540.3
  • IMG accession: 2582580904
  • NCBI tax ID: 1392540
  • score: 64.99

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
21451Acinetobacter nectaris strain SAP 763.2 16S ribosomal RNA gene, partial sequenceJQ7711321498nuccore1392540
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711291498nuccore1219382
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711301499nuccore1219382
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711311498nuccore1219382
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711331498nuccore1219382
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711341498nuccore1219382
124043Acinetobacter boissieri strain SAP 320.1 16S ribosomal RNA gene, partial sequence.JQ7711351497nuccore1219382

GC content

  • @ref: 21451
  • GC-content: 36.6

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno99.985yes
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no96.556yes
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes80.129yes
125438spore-formingspore-formingAbility to form endo- or exosporesno95.765yes
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno99.5yes
125438motile2+flagellatedAbility to perform flagellated movementno72.37no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno98.3
125439BacteriaNetmotilityAbility to perform movementyes74
125439BacteriaNetgram_stainReaction to gram-stainingnegative99.5
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe97.6

Literature

@ref: 21451

culture collection no.: CCUG 68431, CIP 110549, DSM 29975, CECT 8127, LMG 26958, SAP 763.2

straininfo link

  • @ref: 126262
  • straininfo: 379900

literature

Pubmed-IDtitleauthorsjournalDOIyearmeshtopictopic2
3541573Opuntia streptacantha: a coadjutor in the treatment of diabetes mellitus.Meckes-Lozyoa M, Roman-Ramos R.Am J Chin Med10.1142/s0192415x860001811986Plants, Medicinal, drug therapy, Medicine, Chinese Traditional, Medicine, East Asian Traditional
22904213Acinetobacter nectaris sp. nov. and Acinetobacter boissieri sp. nov., isolated from floral nectar of wild Mediterranean insect-pollinated plants.Alvarez-Perez S, Lievens B, Jacquemyn H, Herrera CMInt J Syst Evol Microbiol10.1099/ijs.0.043489-02012Acinetobacter/*classification/genetics/isolation & purification, Animals, Bacterial Typing Techniques, Base Composition, DNA, Bacterial/genetics, Flowers/microbiology, Insecta, Mediterranean Region, Molecular Sequence Data, Nucleic Acid Hybridization, *Phylogeny, Plant Nectar/*analysis, Pollination, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNAPhylogenyGenetics
25098562Acinetobacter apis sp. nov., isolated from the intestinal tract of a honey bee, Apis mellifera.Kim PS, Shin NR, Kim JY, Yun JH, Hyun DW, Bae JWJ Microbiol10.1007/s12275-014-4078-02014Acinetobacter/chemistry/*classification/genetics/*isolation & purification, Animals, Bacterial Typing Techniques, Base Composition, Bees/*microbiology, DNA, Bacterial/genetics, Fatty Acids/*analysis, Genotype, Intestines/microbiology, Molecular Sequence Data, Nucleic Acid Hybridization, Phenotype, Phosphatidylethanolamines/isolation & purification, Phospholipids/analysis, Phylogeny, Quinones/analysis, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA, Ubiquinone/isolation & purificationPhylogenyGenetics
25313016The genomic diversification of the whole Acinetobacter genus: origins, mechanisms, and consequences.Touchon M, Cury J, Yoon EJ, Krizova L, Cerqueira GC, Murphy C, Feldgarden M, Wortman J, Clermont D, Lambert T, Grillot-Courvalin C, Nemec A, Courvalin P, Rocha EP.Genome Biol Evol10.1093/gbe/evu2252014Evolution, Comparative genomics, Mobile genetic elements, Nosocomial Pathogens, Bacterial Genus, genetics, geneticsGenetics
27030361Microbial diversity in the floral nectar of Linaria vulgaris along an urbanization gradient.Bartlewicz J, Lievens B, Honnay O, Jacquemyn H.BMC Ecol10.1186/s12898-016-0072-12016Acinetobacter, Nestedness, Linaria vulgaris, urbanization, Metschnikowia, Nectar Yeasts, Nectar Microbial Communities, microbiology, microbiology, Plant Nectar
28535808Effect of bacteria type and sucrose concentration on levan yield and its molecular weight.Gonzalez-Garcinuno A, Tabernero A, Sanchez-Alvarez JM, Galan MA, Martin Del Valle EM.Microb Cell Fact10.1186/s12934-017-0703-z2017Kinetics, Molecular weight, Byproducts, Levan, metabolism, biosynthesis, metabolism, analysisMetabolismEnzymology
31687543Studies on solvent precipitation of levan synthesized using Bacillus subtilis MTCC 441.Chidambaram JSCA, Veerapandian B, Sarwareddy KK, Mani KP, Shanmugam SR, Venkatachalam P.Heliyon10.1016/j.heliyon.2019.e024142019Cytotoxicity, Biotechnology, Ea.hy926, Solvent Precipitation, Bacillus Subtilis Mtcc 441, Levan ProductionBiotechnology
32934253Genomic profiling of bacterial and fungal communities and their predictive functionality during pulque fermentation by whole-genome shotgun sequencing.Chacon-Vargas K, Torres J, Giles-Gomez M, Escalante A, Gibbons JG.Sci Rep10.1038/s41598-020-71864-42020genetics, genetics, microbiology, analysis, analysis, microbiology, MetagenomeGenetics
33404822Nitrogen Assimilation Varies Among Clades of Nectar- and Insect-Associated Acinetobacters.Alvarez-Perez S, Tsuji K, Donald M, Van Assche A, Vannette RL, Herrera CM, Jacquemyn H, Fukami T, Lievens B.Microb Ecol10.1007/s00248-020-01671-x2021Acinetobacter, Insect, Nitrogen assimilation, Floral nectar, Trait differentiation, Phylogenetic Signal, Nitrogen, Plant Nectar
33886638Inoculation of pear flowers with Metschnikowia reukaufii and Acinetobacter nectaris enhances attraction of honeybees and hoverflies, but does not increase fruit and seed set.Colda A, Bossaert S, Verreth C, Vanhoutte B, Honnay O, Keulemans W, Lievens B.PLoS One10.1371/journal.pone.02502032021microbiology, microbiology, Pollination, Plant Nectar
33970854Acinetobacter pollinis sp. nov., Acinetobacter baretiae sp. nov. and Acinetobacter rathckeae sp. nov., isolated from floral nectar and honey bees.Alvarez-Perez S, Baker LJ, Morris MM, Tsuji K, Sanchez VA, Fukami T, Vannette RL, Lievens B, Hendry TA.Int J Syst Evol Microbiol10.1099/ijsem.0.0047832021Acinetobacter, Floral nectar, honey bee, microbiology, classification, Phylogeny, Plant NectarPhylogeny
34242231Bacterial communities of indoor surface of stingless bee nests.de Sousa LP.PLoS One10.1371/journal.pone.02529332021Bacteria, Microbiota
35491594Potential effects of nectar microbes on pollinator health.Martin VN, Schaeffer RN, Fukami T.Philos Trans R Soc Lond B Biol Sci10.1098/rstb.2021.01552022Nectar Chemistry, Pollinator Health, Plant-pollinator, Nectar Microbe, Bacteria, Plant Nectar
36300797Wide-ranging consequences of priority effects governed by an overarching factor.Chappell CR, Dhami MK, Bitter MC, Czech L, Herrera Paredes S, Barrie FB, Calderon Y, Eritano K, Golden LA, Hekmat-Scafe D, Hsu V, Kieschnick C, Malladi S, Rush N, Fukami T.Elife10.7554/elife.796472022Ecology, Pollination, Metacommunity, Rapid Evolution, Evolutionary Biology, Community Assembly, Eco-evolutionary Dynamics, Priority Effect, Metschnikowia Reukaufii, Calypte Anna, Diplacus Aurantiacus, Acinetobacter Nectaris, Pollination, Plant Nectar
36779256Nectar compounds impact bacterial and fungal growth and shift community dynamics in a nectar analog.Mueller TG, Francis JS, Vannette RL.Environ Microbiol Rep10.1111/1758-2229.131392023Pollination, Plant Nectar
36991491Holobiont Urbanism: sampling urban beehives reveals cities' metagenomes.Henaff E, Najjar D, Perez M, Flores R, Woebken C, Mason CE, Slavin K.Environ Microbiome10.1186/s40793-023-00467-z2023Honeybee, Metagenomics, Built Environment, Holobiont, AerobiomeGenetics
38366934A quantitative survey of the blueberry (Vaccinium spp.) culturable nectar microbiome: variation between cultivars, locations, and farm management approaches.Rering CC, Rudolph AB, Li QB, Read QD, Munoz PR, Ternest JJ, Hunter CT.FEMS Microbiol Ecol10.1093/femsec/fiae0202024Bacteria, Agriculture, Yeast, Sugar, Floral nectar, Nectar Microbes, Vaccinium, Microbiota, Blueberry Plants
38650068Melipona stingless bees and honey microbiota reveal the diversity, composition, and modes of symbionts transmission.Cerqueira AES, Lima HS, Silva LCF, Veloso TGR, de Paula SO, Santana WC, da Silva CC.FEMS Microbiol Ecol10.1093/femsec/fiae0632024Fungi, Bacteria, Microbiome, Hive, Eusocial Corbiculate Bees, Bacteria, Symbiosis, Honey
39113128Effects of a supplemented diet containing 7 probiotic strains (Honeybeeotic) on honeybee physiology and immune response: analysis of hemolymph cytology, phenoloxidase activity, and gut microbiome.Robino P, Galosi L, Bellato A, Vincenzetti S, Gonella E, Ferrocino I, Serri E, Biagini L, Roncarati A, Nebbia P, Menzio C, Rossi G.Biol Res10.1186/s40659-024-00533-x2024Cellular immunity, Probiotic, Apis mellifera ligustica, Intestinal Microbiota, Hemolymph, Monophenol Monooxygenase, Probiotics, Gastrointestinal Microbiome
39708144Demethylation Inhibitor Fungicides Have a Significantly Detrimental Impact on Population Growth and Composition of Nectar Microbial Communities.Quevedo-Caraballo S, Roldan A, Alvarez-Perez S.Microb Ecol10.1007/s00248-024-02477-x2024Bacteria, Population growth, Fungicides, Floral nectar, community composition, yeasts, Demethylation Inhibitors, Fungicides, Industrial, Plant Nectar, MicrobiotaBiotechnology
40275504Pollen-Microbe Interactions in Nectar Weakly Influence Bee Foraging Behavior.Ekemezie SC, Davis CC, Russo MV, Carpenter LP, Russell AL.Integr Comp Biol10.1093/icb/icaf0172025Pollen, Pollination, Metschnikowia, Plant Nectar
40634535Lactiplantibacillus plantarum dfa1 reduces obesity caused by a high carbohydrate diet by modulating inflammation and gut microbiota.Ondee T, Pongpirul K, Wongsaroj L, Senaprom S, Wattanaphansak S, Leelahavanichkul A.Sci Rep10.1038/s41598-025-10435-x2025Glucose, Obesity, Sugar, Prediabetes, Lactiplantibacillus Plantarum, Lactobacillaceae, Obesity, Inflammation, Dietary Carbohydrates, Probiotics, Gastrointestinal MicrobiomePathogenicity
41303316Hydrogel Design Based on Bacterial Exopolysaccharides: The Biomedical Promise of Levan.Popa AI, Carpa R, Farkas A.Int J Mol Sci10.3390/ijms2622108282025Biomedical Applications, Levan, Bacterial Exopolysaccharides, Hydrophilic Gels, Bacteria, Fructans, Polysaccharides, Bacterial, Hydrogels

Reference

@idauthorstitledoi/urlcatalogueID_cross_referencepubmedjournal
20215Parte, 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 DSMZ10.1099/ijsem.0.004332
21451Curators of the DSMZhttps://www.dsmz.de/collection/catalogue/details/culture/DSM-29975Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 29975)
30741Barberan A, Caceres Velazquez H, Jones S, Fierer N.Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information10.1128/mSphere.00237-172707228776041
42140Curators of the CIPhttps://brclims.pasteur.fr/brcWeb/souche/detail/1/8420
63485Curators of the CCUGhttps://www.ccug.se/strain?id=68431Culture Collection University of Gothenburg (CCUG) (CCUG 68431)
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
66794Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar SchomburgBRENDA, the ELIXIR core data resource in 2021: new developments and updates10.1093/nar/gkaa102533211880Nucleic Acids Res. 49: D498-D508 2020
68369Automatically annotated from API 20NE
69479João 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 betahttps://microbeatlas.org/
121255Curators of the CIPhttps://catalogue-crbip.pasteur.fr/fiche_catalogue.xhtml?crbip=CIP%20110549Collection of Institut Pasteur (CIP 110549)
124043Isabel Schober, Julia KoblitzData extracted from sequence databases, automatically matched based on designation and taxonomy
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg OvermannPredicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets10.1101/2024.08.12.607695
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardydeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1https://github.com/GenomeNet/deepG
126262A. 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. ReimerStrainInfo—the central database for linked microbial strain identifiers10.1093/database/baaf059

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