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ATCC actinobacteria atcc 15702 bifidobacterium infantis
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(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing <t>actinobacteria</t> (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).
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Hermetia Baruth culturable actinomycetes
(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing <t>actinobacteria</t> (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).
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(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing <t>actinobacteria</t> (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).
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ATCC actinomycetes strain goodfellowia coeruleoviolacea atcc
(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing <t>actinobacteria</t> (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).
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(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing <t>actinobacteria</t> (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).
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ATCC soil actinobacteria streptomyces griseoverticillatus
Bibliometic data and <t>Actinobacteria-producing</t> antimycobacterial metabolites source. A Number of studies conducted on the isolation of antimycobacterial metabolites by country. B VOSviewer network visualization of the selected studies. C Distribution of actinobacteria-derived metabolites with antimycobacterial properties based on bacterial habitat (isolation source)
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Bibliometic data and <t>Actinobacteria-producing</t> antimycobacterial metabolites source. A Number of studies conducted on the isolation of antimycobacterial metabolites by country. B VOSviewer network visualization of the selected studies. C Distribution of actinobacteria-derived metabolites with antimycobacterial properties based on bacterial habitat (isolation source)
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Bibliometic data and <t>Actinobacteria-producing</t> antimycobacterial metabolites source. A Number of studies conducted on the isolation of antimycobacterial metabolites by country. B VOSviewer network visualization of the selected studies. C Distribution of actinobacteria-derived metabolites with antimycobacterial properties based on bacterial habitat (isolation source)
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(A) Coral samples used in this study. (B) Number of total, mycolic acid-containing actinobacteria (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).

Journal: microPublication Biology

Article Title: Mycobacteria isolated from temperate stony corals

doi: 10.17912/micropub.biology.001863

Figure Lengend Snippet: (A) Coral samples used in this study. (B) Number of total, mycolic acid-containing actinobacteria (MACA) and Mycobacteriaceae isolates from each type of culture medium. Media abbreviations are as given in the Methods section. (C) Maximum likelihood phylogenetic tree using 16S rRNA gene sequences (732 nucleotide positions) from Mycobacteriaceae isolates (in bold), their closest BLAST hits and representative strains of each clade. Species names are followed by the strain identifier and GenBank accession number. Hoyosella altamirensis OFN S31 was used as an outgroup. Bootstrap values >50% are shown for 1,000 replicates at the respective nodes. Rapid-growing genera– Mycobacteroides (“ Abscessus-Chelonae ” Clade), Mycolicibacterium (“ Fortuitum-Vaccae ” Clade). Slow-growing genera – Mycolicibacter (“ Terrae” Clade), Mycolicibacillus (“ Triviale ” Clade), Mycobacterium (“ Tuberculosis-Simiae ” Clade) (Gupta et al. 2018).

Article Snippet: Since actinobacteria are potent producers of bioactive compounds, they were proposed to have a role in protecting corals against pathogens (Kuang et al., 2015).

Techniques:

Bibliometic data and Actinobacteria-producing antimycobacterial metabolites source. A Number of studies conducted on the isolation of antimycobacterial metabolites by country. B VOSviewer network visualization of the selected studies. C Distribution of actinobacteria-derived metabolites with antimycobacterial properties based on bacterial habitat (isolation source)

Journal: Natural Products and Bioprospecting

Article Title: Harnessing Actinobacteria secondary metabolites for tuberculosis drug discovery: Historical trends, current status and future outlooks

doi: 10.1007/s13659-025-00533-8

Figure Lengend Snippet: Bibliometic data and Actinobacteria-producing antimycobacterial metabolites source. A Number of studies conducted on the isolation of antimycobacterial metabolites by country. B VOSviewer network visualization of the selected studies. C Distribution of actinobacteria-derived metabolites with antimycobacterial properties based on bacterial habitat (isolation source)

Article Snippet: In the study by Rokuro et al. [ ] tuberactinomycins A and B was isolated from the soil actinobacteria Streptomyces griseoverticillatus and inhibited Mtb ATCC 607 with MIC of 17.81 μM and 4.67 μM, respectively.

Techniques: Isolation, Derivative Assay