2020
DOI: 10.1080/01490451.2020.1852452
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Metagenomic Approach to Bacterial Diversity and Lipolytic Enzymes’ Genes from a Steam Soil of Los Humeros Geothermal Field (Puebla, México)

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Cited by 2 publications
(3 citation statements)
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“…In a previous investigation, our research group reported a high percentage of genes coding for non-characterized lipolytic enzymes in the metagenome obtained from a soil sample from the "Los Humeros" geothermal field (15 cm depth, 80 • C), enriched in a high-oleic acid safflower oil medium [33]. In order to identify new potential polyester hydrolases in the metagenome, we designed probes directed to conserved motifs of polyester hydrolases with experimentally confirmed hydrolytic activity, reported structural data and biochemical characterization (Table 1).…”
Section: In Silico Probe Designmentioning
confidence: 99%
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“…In a previous investigation, our research group reported a high percentage of genes coding for non-characterized lipolytic enzymes in the metagenome obtained from a soil sample from the "Los Humeros" geothermal field (15 cm depth, 80 • C), enriched in a high-oleic acid safflower oil medium [33]. In order to identify new potential polyester hydrolases in the metagenome, we designed probes directed to conserved motifs of polyester hydrolases with experimentally confirmed hydrolytic activity, reported structural data and biochemical characterization (Table 1).…”
Section: In Silico Probe Designmentioning
confidence: 99%
“…In order to look for new enzymes with the ability to degrade polyesters we analyzed the metagenomic library (5.3 GB, 109,000 contigs) of a soil sample obtained from a steaming location at "Los Humeros" geothermal field (15 cm depth, 80 • C) that was enriched in a high-oleic acid safflower oil medium [33]. The search was undertaken using probes that were designed to specifically recognize the amino acids' sequences of conserved motifs of polyester hydrolases with experimentally confirmed hydrolytic activity, reported structural data and biochemical characterization [48].…”
Section: In Silico Probe Designmentioning
confidence: 99%
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