Anaerobic Utilization of Hydrocarbons, Oils, and Lipids 2018
DOI: 10.1007/978-3-319-33598-8_15-1
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Next-Generation Sequencing of Functional Marker Genes for Anaerobic Degraders of Petroleum Hydrocarbons in Contaminated Environments

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Cited by 5 publications
(4 citation statements)
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“…Similar observations were made in a methanogenic consortium enriched from Shengli oilfield amended with heavy oil (Cheng et al 2019). Since there still remained uncertain with respect to the key active microorganisms and activation pathways in this work, more microbial and functional information are expected to be explored via omicsbased sequencings and other chemical techniques (Gieg and Toth 2016;von Netzer et al 2018). And also, there may exist novel pathway documented recently based on metagenomics analysis (Liu et al 2019).…”
Section: Putative Paraffin Degradation Pathway In Thermophilic Methansupporting
confidence: 55%
“…Similar observations were made in a methanogenic consortium enriched from Shengli oilfield amended with heavy oil (Cheng et al 2019). Since there still remained uncertain with respect to the key active microorganisms and activation pathways in this work, more microbial and functional information are expected to be explored via omicsbased sequencings and other chemical techniques (Gieg and Toth 2016;von Netzer et al 2018). And also, there may exist novel pathway documented recently based on metagenomics analysis (Liu et al 2019).…”
Section: Putative Paraffin Degradation Pathway In Thermophilic Methansupporting
confidence: 55%
“…Omics, e.g., proteomics, transcriptomics, metabolomics and genomics, aid in the regulation of genes for bioremediation [249]). With the help of next-generation sequencing and high-throughput sequencing (HTS), genes responsible for bioremediation are resolved [250]. In gene editing, engineered nucleases or molecular scissors are used to manipulate DNA.…”
Section: Molecular Approaches For Bioremediationmentioning
confidence: 99%
“…Enzymes that were functionally sourced from public databases are the foundation of a wide variety of technologies. The integration of several computational techniques in silico are applicable to studies, genomics, metagenomics, metabolomics, transcriptomics, proteomics and biodegradation network pave the way for heavy metal bioremediation (VON NETZER et al, 2018;PUROHIT et al, 2018).…”
Section: Introductionmentioning
confidence: 99%