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Insights into Genomic Features and Potential Biotechnological Applications of Bacillus halotolerans Strain HGR5

Bilal Yahiaoui

Bilal Yahiaoui

Laboratory of Applied Microbiology, Department of Microbiology, Faculty of Natural and Life Sciences, Ferhat Abbas UniversitySetif, Algeria
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Yahiaoui, Bilal
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Hadjira Bounabi

Hadjira Bounabi

  • Higher National School of Biotechnology Taoufik KhaznadarConstantine, Algeria
  • Laboratory of Biotechnology, Higher National School of Biotechnology Taoufik KhaznadarConstantine, Algeria
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Bounabi, Hadjira
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Amine M. Boukerb

Amine M. Boukerb

Univ Rouen Normandie, Université Caen Normandie, Normandie UnivRouen, France
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Boukerb, Amine M.
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Meriem Gasmi

Meriem Gasmi

  • Higher National School of Biotechnology Taoufik KhaznadarConstantine, Algeria
  • Laboratory of Biotechnology, Higher National School of Biotechnology Taoufik KhaznadarConstantine, Algeria
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Gasmi, Meriem
  
16 déc. 2023
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Catégorie d'article: ORIGINAL PAPER
Publié en ligne: 16 déc. 2023
Pages: 477 - 490
Reçu: 18 août 2023
Accepté: 27 oct. 2023
DOI: https://doi.org/10.33073/pjm-2023-045
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© 2023 Bilal Yahiaoui et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Fig. 1.

Antagonism effect of the nineteen selected strains based on their enzymatic activities. Control on the top left followed by each bacterial strain to the bottom right of each panel: HGG11, OTG3’> OTG9’> OTG6, OTR1, OTR2, OTK3, OTK1, OTK4, OTK8, OTK9, HGG7, HGG9, HGG15, HGG16, HGR5, HGK5, HGK11, HGK1, against a) Alternaria alternata; b) Fusarium gramine arum; c) Phytophthora infestans.
Antagonism effect of the nineteen selected strains based on their enzymatic activities. Control on the top left followed by each bacterial strain to the bottom right of each panel: HGG11, OTG3’> OTG9’> OTG6, OTR1, OTR2, OTK3, OTK1, OTK4, OTK8, OTK9, HGG7, HGG9, HGG15, HGG16, HGR5, HGK5, HGK11, HGK1, against a) Alternaria alternata; b) Fusarium gramine arum; c) Phytophthora infestans.

Fig. 2.

Whole-genome map of Bacillus halotolerans HGR5 generated by CGview. The genome map consists of six different circles from the inner to the outer circle: 1) measuring scale, 2) GC skew, 3) G + C content, 4) contig positions, 5) forward CDS, and 6) reverse CDS.
Whole-genome map of Bacillus halotolerans HGR5 generated by CGview. The genome map consists of six different circles from the inner to the outer circle: 1) measuring scale, 2) GC skew, 3) G + C content, 4) contig positions, 5) forward CDS, and 6) reverse CDS.

Fig. 3.

Phylogenetic analysis by maximum likelihood method based on the 16S rRNA gene sequences of HGR5 and its related Bacillus species. Accession numbers are shown after each strain ID. Bootstrapping was performed 1,000 times.
Phylogenetic analysis by maximum likelihood method based on the 16S rRNA gene sequences of HGR5 and its related Bacillus species. Accession numbers are shown after each strain ID. Bootstrapping was performed 1,000 times.

Fig. 4.

GO classifications of the genome sequence of Bacillus halotolerans HGR5. Bar chart represents the number of genes which were assigned a known GO function by the eggNOG-mapper tool.
GO classifications of the genome sequence of Bacillus halotolerans HGR5. Bar chart represents the number of genes which were assigned a known GO function by the eggNOG-mapper tool.

Fig. 5.

Esterases activities of Bacillus halotolerans HGR5. a) lipolytic activity on rhodamine B/coconut oil agar, b) lipolytic activity on tributyrin agar, c) biodegradation of PLCD.
Esterases activities of Bacillus halotolerans HGR5. a) lipolytic activity on rhodamine B/coconut oil agar, b) lipolytic activity on tributyrin agar, c) biodegradation of PLCD.

Fig. 6.

Growth curve of Bacillus halotolerans HGR5 under various conditions of stress. a) growth curve under various temperatures, b) growth curve under different pH, c) growth curve under increasing concentrations of NaCl. The error bars show the average standard deviation of each treatment, which was replicated three times.
Growth curve of Bacillus halotolerans HGR5 under various conditions of stress. a) growth curve under various temperatures, b) growth curve under different pH, c) growth curve under increasing concentrations of NaCl. The error bars show the average standard deviation of each treatment, which was replicated three times.

BGCs encoding secondary metabolites discovered by the AntiSMASH server in the Bacillus halotolerans HGR5 genome along with the closest biosynthetic gene clusters detected by ClusterKnownBlast and listed in the MIBiG database_

Cluster Predicted size (bp) BGC type Compound MIBiG accession Similarity Closest strain
1 41,419 other bacilycin BGC0001184 Bacillus velezensis FZB42 100%
2 21,613 sactipeptide subtilosin A BGC0000602 Bacillus subtilis subsp. spizizenii ATCC® 6633™ 100%
3 47,140 NPRS bacillibactin BGC0000309 Bacillus subtilis subsp. subtilis str. 168 100%
4 106,121 NRPS, transAT-PKS bacillaene BGC0001089 Bacillus velezensis FZB42 100%
5 79,855 NRPS fengycin BGC0001095 Bacillus velezensis FZB42 80%
NRPS, transAT-PKS mycosubtilin BGC0001103 Bacillus subtilis subsp. spizizenii ATCC® 6633™ 100%
6 41,098 T3PKS - - - -
7 21,899 terpene - - - -
8 65,396 NRPS surfactin BGC0000433 Bacillus velezensis FZB42 86%
9 20,807 terpene - - - -
10 51,225 PKS myxovirescin A1 BGC0001025 Myxococcus xanthus DK 1622 13%
macrolactin H BGC0000181 Bacillus velezensis FZB42 40%
11 32,261 PKS macrobrevin BGC0001470 Brevibacillus sp. Leaf182 26%
phormidolide BGC0001350 Leptolyngbya sp. ISBN3-Nov-94-8 21%
12 13,175 NRPS fengycin BGC0001095 Bacillus velezensis FZB42 20%
plipastatin BGC0000407 Bacillus subtilis subsp. subtilis 38%
13 10,326 NRPS plipastatin BGC0000407 Bacillus subtilis subsp. subtilis 23%
fengycin BGC0001095 Bacillus velezensis FZB42 20%
14 7,314 PKS bryostatin BGC0000174 Candidatus Endobugula sertula 100%
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