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40 results for “Actinobacteria”
Data from: Exploring actinobacteria associated with rhizosphere and endosphere of the native Alpine medicinal plant Leontopodium nivale Subspecies alpinum
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Data from: Phylogenetic relatedness determined between antibiotic resistance and 16S rRNA genes in actinobacteria
Background: Distribution and evolutionary history of resistance genes in environmental actinobacteria provide information on intensity of antibiosis and evolution of specific secondary metabolic pathways at a given site. To this day, actinobacteria producing biologically active compounds were isolated mostly from soil but only a limited range of soil environments were commonly sampled. Consequently, soil remains an unexplored environment in search for novel producers and related evolutionary questions. Results: Ninety actinobacteria strains isolated at contrasting soil sites were characterized phylogenetically by 16S rRNA gene, for presence of erm and ABC transporter resistance genes and antibiotic production. An analogous analysis was performed in silico with 246 and 31 strains from Integrated Microbial Genomes (JGI_IMG) database selected by the presence of ABC transporter genes and erm genes, respectively. In the isolates, distances of erm gene sequences were significantly correlated to phylogenetic distances based on 16S rRNA genes, while ABC transporter gene distances were not. The phylogenetic distance of isolates was significantly correlated to soil pH and organic matter content of isolation sites. In the analysis of JGI_IMG datasets the correlation between phylogeny of resistance genes and the strain phylogeny based on 16S rRNA genes or five housekeeping genes was observed for both the erm genes and ABC transporter genes in both actinobacteria and streptomycetes. However, in the analysis of sequences from genomes where both resistance genes occurred together the correlation was observed for both ABC transporter and erm genes in actinobacteria but in streptomycetes only in the erm gene. Conclusions: The type of erm resistance gene sequences was influenced by linkage to 16S rRNA gene sequences and site characteristics. The phylogeny of ABC transporter gene was correlated to 16S rRNA genes mainly above the genus level. The results support the concept of new specific secondary metabolite scaffolds occurring more likely in taxonomically distant producers but suggest that the antibiotic selection of gene pools is also influenced by site conditions.
Fig. 1 in A report of 38 unrecorded bacterial species in Korea, belonging to the phylum Actinobacteria
Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, W2-3- 5; 2, WM31; 3, WS50; 4, WM81; 5, WM69; 6, ST5-11; 7, W2-2-3; 8, 01SU3; 9, W4-2-4; 10, BM14; 11, DT5-10; 12, WM79; 13, WM26; 14, MS4Y-2-4; 15, WW45; 16, JJ9003; 17, MM3; 18, MMD3Y-10-4; 19, TMIL-2; 20, SR5-11; 21, BM24; 22, WM113; 23, HME9262; 24, DR7-12; 25, MMD3Y-15-3; 26, MK6Y-6-1; 27, 03SU14; 28, CDR5; 29, SR4-01; 30, BM28; 31, MMD3Y-15-4; 32, HME9278; 33, DR7- 01; 34, Gsoil012; 35, WW39; 36, WW41; 37, GDM10; 38, CR9.
Actinobacteria Database
<p>EvoMining actinobacterial genomic database and corresponding RastIds files.</p>
Fig. 3 in Report of 21 unrecorded bacterial species in Korea belonging to the phylum Actinobacteria, discovered during the survey in 2020
Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationships between the strains isolated in this study and their relatives of the families Nocardioidaceae, Mycobacteriaceae, Micrococcaceae, Microbacteriaceae, Intrasporangiaceae, Euzebyaceae and Corynebacteriaceae in the phylum Actinobacteria. Bootstrap values (>50%) are shown at branching points. Filled circles indicate the nodes also recovered in the maximum-likelihood and maximum-parsimony trees, and open circles indicate the nodes also recovered in only one of the trees. Bar, 0.02 substitutions per nucleotide position.
Fig. 1 in Report on 31 unrecorded bacterial species in Korea that belong to the phylum Actinobacteria
Fig. 1. Transmission electron micrographs or scanning electron micrographs of cells of the strains isolated in this study. Strains: 1, KYW853; 2, SPE22; 3, UKS28; 4, IK56; 5, MK514; 6, RS54; 7, mNW17; 8, UKS33; 9, HME8794; 10, mNW13; 11, HWR24; 12, AB7; 13, SPE06; 14, MIC10; 15, MS522; 16, MA9; 17, MAT14; 18, WRM1Y; 19, WTRY7; 20, HME8543; 21, RK 4Y 51; 22, mNW18; 23, HR39; 24, HME8781; 25, RS55_B; 26, NS34_B; 27, Gsoil 950; 28, UKS24; 29, MS513; 30, MA10; 31, UKS23.
Data from: Phylogenetic relatedness determined between antibiotic resistance and 16S rRNA genes in actinobacteria
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Gene profiling during symbiosis between the actinorhizal tree Alnus glutinosa and the actinobacteria Frankia alni ACN14
GEO Series GSE24153. Alnus glutinosa. 15 samples. Type: Expression profiling by array.
Gene profiling during symbiosis between the actinorhizal tree Casuarina glauca and the actinobacteria Frankia CcI3
GEO Series GSE24158. Casuarina glauca. 15 samples. Type: Expression profiling by array.
Modulation of cAMP levels by a conserved actinobacteria phosphodiesterase enzyme reduces antimicrobial tolerance in mycobacteria
GEO Series GSE157084. Mycolicibacterium smegmatis. 6 samples. Type: Expression profiling by high throughput sequencing.
Microparticles enhance the formation of seven major classes of natural products in native and metabolically engineered actinobacteria through accelerated morphological development.
GEO Series GSE168044. Streptomyces lividans. 18 samples. Type: Expression profiling by high throughput sequencing.
Data and reproducible scripts for "Distribution of Putative Self-resistance Genes for Antibiotic Biosynthetic Gene Cluster in Actinobacteria"
<p>Data and reproducible scripts for "Distribution of Putative Self-resistance Genes for Antibiotic Biosynthetic Gene Cluster in Actinobacteria"</p>
Comparative genomics reveals sanitary and catabolic capabilities of Actinobacteria within the fungus-farming termite symbiosis
<p>Fasta assembly and annotated genbank files of 4 putative novel Actinobacteria isolated from the fungus farming termite <em>Macrotermes natalensis:</em></p> <p> </p> <p><strong>Sample - Genus - Isolation location on termite</strong><br> RB22 - Luteimicrobium - major worker gut</p> <p>RB24 - Mycolicibacterium - major worker gut</p> <p>RB33 - Mycolicibacterium - major worker gut</p> <p>M32 - Streptomyces - cuticle</p> <p> </p> <p> </p>
A network of acetyl phosphate-dependent modification supports c-di-AMP homeostasis in Actinobacteria
GEO Series GSE239753. Saccharopolyspora erythraea. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A meet-up of AcP and c-di-GMP modulates BldD activity for development and antibiotic production in actinobacteria
GEO Series GSE225241. Saccharopolyspora erythraea. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Gene profiling during symbiosis between the actinorhizal tree Casuarina glauca and the actinobacteria Frankia CcI3 after treatment with 1-naphtoxy acetic acid, an auxin influx inhibitor.
GEO Series GSE55582. Casuarina glauca. 4 samples. Type: Expression profiling by array.
Light enhances growth in non-phototropic Actinobacteria (Aurantimicrobium sp. MWH-Mo1)
GEO Series GSE116705. Aurantimicrobium photophilum. 8 samples. Type: Expression profiling by high throughput sequencing.
Light enhances growth in non-phototropic Actinobacteria (Rhodoluna lacicola strain Ta8)
GEO Series GSE116706. Rhodoluna lacicola. 8 samples. Type: Expression profiling by high throughput sequencing.
RELATIVE ABUNDANCE OF phyla ACTINOBACTERIA AND VITAMIN C CONSUMPTION ARE ASSOCIATED WITH DNA METHYLATION.
GEO Series GSE254646. Homo sapiens. 7 samples. Type: Methylation profiling by array.
Allosteric regulation by c-di-AMP modulates global signal integration in Actinobacteria
GEO Series GSE229938. Saccharopolyspora erythraea. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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