2021
DOI: 10.1016/j.micpath.2021.105252
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Genome mining of biosynthetic gene clusters intended for secondary metabolites conservation in actinobacteria

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Cited by 24 publications
(11 citation statements)
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“…The Figure 3 , Figure 4 , Figure 5 , Figure 6 and Figure 7 elaborates the similarity between the query genes in A. faecalis isolate MZ921504 against the database for the prediction of the produced metabolites, ectoine, bacteriocin, bacillibactin, β-lactones and terpenes, respectively. Genome similarity plays an important role in the synthesis of related compounds to pre-identified genes [ 20 ].…”
Section: Resultsmentioning
confidence: 99%
“…The Figure 3 , Figure 4 , Figure 5 , Figure 6 and Figure 7 elaborates the similarity between the query genes in A. faecalis isolate MZ921504 against the database for the prediction of the produced metabolites, ectoine, bacteriocin, bacillibactin, β-lactones and terpenes, respectively. Genome similarity plays an important role in the synthesis of related compounds to pre-identified genes [ 20 ].…”
Section: Resultsmentioning
confidence: 99%
“…Genome mining is becoming a popular approach for accelerating the identification and characterization of the diverse classes of smBGCs [ 76 , 77 ]. The genome mining of the three most potent actinomycetia strains, Streptomyces sp.…”
Section: Discussionmentioning
confidence: 99%
“…Only ca 30% of the identified BGCs in both genomes showed gene homologies with known clusters at the MIBiG database [37]. These included common secondary metabolites BGCs found in Streptomyces such as ectoine, hopene, desferrioxamine, SapB and geosmin [38]. A comparison between both isolates (Figure 3) showed that 53% (17 out of 32) of the BGCs identified in the genome of MA3_2.13 are devoted to the biosynthesis of polyketide-based metabolites, whereas in S07_1.15 only two polyketide-based encoding clusters were identified, namely a type II PKS and a type III PKS.…”
Section: Secondary Metabolism In Silico Profilingmentioning
confidence: 99%