Strain identifier

BacDive ID: 164129

Type strain: No

Species: Paenibacillus sp.

Strain history: A. Gulati; CSIR-Inst. of Himalayan Bioresour. Technol., India; IHB B 3415.

NCBI tax ID(s): 58172 (species)

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General

@ref: 67770

BacDive-ID: 164129

keywords: genome sequence, 16S sequence, Bacteria, spore-forming, mesophilic

description: Paenibacillus sp. JCM 31816 is a spore-forming, mesophilic bacterium that was isolated from Soil from the cold deserts of Himachal Pradesh.

NCBI tax id

  • NCBI tax id: 58172
  • Matching level: species

strain history

  • @ref: 67770
  • history: A. Gulati; CSIR-Inst. of Himalayan Bioresour. Technol., India; IHB B 3415.

doi: 10.13145/bacdive164129.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/bacillota
  • domain: Bacteria
  • phylum: Bacillota
  • class: Bacilli
  • order: Caryophanales
  • family: Paenibacillaceae
  • genus: Paenibacillus
  • species: Paenibacillus sp.
  • full scientific name: Paenibacillus Ash et al. 1994
  • synonyms

    • @ref: 20215
    • synonym: Aerobacillus

@ref: 67770

domain: Bacteria

phylum: Firmicutes

class: Bacilli

order: Caryophanales

family: Paenibacillaceae

genus: Paenibacillus

species: Paenibacillus sp.

full scientific name: Paenibacillus sp.

type strain: no

Culture and growth conditions

culture temp

  • @ref: 67770
  • growth: positive
  • type: growth
  • temperature: 28

Physiology and metabolism

spore formation

@refspore formationconfidence
125439yes94.2
125438yes92.755

enzymes

  • @ref: 67770
  • value: catalase
  • ec: 1.11.1.6

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Soil from the cold deserts of Himachal Pradesh
  • country: India
  • origin.country: IND
  • continent: Asia

taxonmaps

  • @ref: 69479
  • File name: preview.99_1606.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_15358;96_335;97_567;98_1266;99_1606&stattab=map
  • Last taxonomy: Paenibacillus
  • 16S sequence: HM563047
  • Sequence Identity:
  • Total samples: 1243
  • soil counts: 631
  • aquatic counts: 238
  • animal counts: 232
  • plant counts: 142

Sequence information

16S sequences

  • @ref: 67770
  • description: Paenibacillus sp. IHB B 3415 16S ribosomal RNA gene, partial sequence
  • accession: HM563047
  • length: 1519
  • database: nuccore
  • NCBI tax ID: 867080

Genome sequences

  • @ref: 67770
  • description: Paenibacillus sp. IHB B 3415
  • accession: GCA_000802655
  • assembly level: contig
  • database: ncbi
  • NCBI tax ID: 867080

GC content

  • @ref: 67770
  • GC-content: 50.77
  • method: genome sequence analysis

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes59.966no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no93.33no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no53.154no
125438spore-formingspore-formingAbility to form endo- or exosporesyes92.755no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno96.708no
125438motile2+flagellatedAbility to perform flagellated movementyes86.665no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes94.2
125439BacteriaNetmotilityAbility to perform movementyes89.4
125439BacteriaNetgram_stainReaction to gram-stainingvariable86.2
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe84.3

External links

@ref: 67770

culture collection no.: JCM 31816, MTCC 12461

Reference

@idauthorstitledoi/url
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
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
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/
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