Marine Metagenome as A Resource for Novel Enzymes

Handle URI:
http://hdl.handle.net/10754/582482
Title:
Marine Metagenome as A Resource for Novel Enzymes
Authors:
Alma’abadi, Amani D.; Gojobori, Takashi ( 0000-0001-7850-1743 ) ; Mineta, Katsuhiko ( 0000-0002-4727-045X )
Abstract:
More than 99% of identified prokaryotes, including many from the marine environment, cannot be cultured in the laboratory. This lack of capability restricts our knowledge of microbial genetics and community ecology. Metagenomics, the culture-independent cloning of environmental DNAs that are isolated directly from an environmental sample, has already provided a wealth of information about the uncultured microbial world. It has also facilitated the discovery of novel biocatalysts by allowing researchers to probe directly into a huge diversity of enzymes within natural microbial communities. Recent advances in these studies have led to great interest in recruiting microbial enzymes for the development of environmentally-friendly industry. Although the metagenomics approach has many limitations, it is expected to provide not only scientific insights but also economic benefits, especially in industry. This review highlights the importance of metagenomics in mining microbial lipases, as an example, by using high-throughput techniques. In addition, we discuss challenges in the metagenomics as an important part of bioinformatics analysis in big data.
KAUST Department:
Computational Bioscience Research Center (CBRC)
Citation:
Marine Metagenome as A Resource for Novel Enzymes 2015 Genomics, Proteomics & Bioinformatics
Publisher:
Elsevier BV
Journal:
Genomics, Proteomics & Bioinformatics
Issue Date:
10-Nov-2015
DOI:
10.1016/j.gpb.2015.10.001
Type:
Article
ISSN:
16720229
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1672022915001394
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorAlma’abadi, Amani D.en
dc.contributor.authorGojobori, Takashien
dc.contributor.authorMineta, Katsuhikoen
dc.date.accessioned2015-11-22T08:31:44Zen
dc.date.available2015-11-22T08:31:44Zen
dc.date.issued2015-11-10en
dc.identifier.citationMarine Metagenome as A Resource for Novel Enzymes 2015 Genomics, Proteomics & Bioinformaticsen
dc.identifier.issn16720229en
dc.identifier.doi10.1016/j.gpb.2015.10.001en
dc.identifier.urihttp://hdl.handle.net/10754/582482en
dc.description.abstractMore than 99% of identified prokaryotes, including many from the marine environment, cannot be cultured in the laboratory. This lack of capability restricts our knowledge of microbial genetics and community ecology. Metagenomics, the culture-independent cloning of environmental DNAs that are isolated directly from an environmental sample, has already provided a wealth of information about the uncultured microbial world. It has also facilitated the discovery of novel biocatalysts by allowing researchers to probe directly into a huge diversity of enzymes within natural microbial communities. Recent advances in these studies have led to great interest in recruiting microbial enzymes for the development of environmentally-friendly industry. Although the metagenomics approach has many limitations, it is expected to provide not only scientific insights but also economic benefits, especially in industry. This review highlights the importance of metagenomics in mining microbial lipases, as an example, by using high-throughput techniques. In addition, we discuss challenges in the metagenomics as an important part of bioinformatics analysis in big data.en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1672022915001394en
dc.rights© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectMicrobial diversityen
dc.subjectCulture-independent studiesen
dc.subjectCatalysisen
dc.subjectLipaseen
dc.subjectBiotechnologyen
dc.titleMarine Metagenome as A Resource for Novel Enzymesen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalGenomics, Proteomics & Bioinformaticsen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAlma’abadi, Amani D.en
kaust.authorGojobori, Takashien
kaust.authorMineta, Katsuhikoen
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