2010
DOI: 10.1016/j.mib.2010.08.012
|View full text |Cite
|
Sign up to set email alerts
|

Recent application of metagenomic approaches toward the discovery of antimicrobials and other bioactive small molecules

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
98
0

Year Published

2012
2012
2014
2014

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 119 publications
(99 citation statements)
references
References 47 publications
(35 reference statements)
0
98
0
Order By: Relevance
“…Traditional methods, involving exhaustive extractions of sponge, do not reveal the chemical diversity produced by these rare biosphere representatives, or pathways that are inactive within the native host (Chiang et al, 2010). Harnessing this potentially novel chemistry is, therefore, dependent on the ability of molecular approaches to identify where this diversity exists (Fieseler et al, 2007;Hochmuth et al, 2010;Trindade-Silva et al, 2012), to provide access to the genetic basis of biosynthesis (Piel et al, 2004a;Fisch et al, 2009;Banik and Brady, 2010;Brady et al, 2010) and ultimately to facilitate production of these molecules through heterologous expression within a suitable host (Fu et al, 2008;Craig et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Traditional methods, involving exhaustive extractions of sponge, do not reveal the chemical diversity produced by these rare biosphere representatives, or pathways that are inactive within the native host (Chiang et al, 2010). Harnessing this potentially novel chemistry is, therefore, dependent on the ability of molecular approaches to identify where this diversity exists (Fieseler et al, 2007;Hochmuth et al, 2010;Trindade-Silva et al, 2012), to provide access to the genetic basis of biosynthesis (Piel et al, 2004a;Fisch et al, 2009;Banik and Brady, 2010;Brady et al, 2010) and ultimately to facilitate production of these molecules through heterologous expression within a suitable host (Fu et al, 2008;Craig et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the traditional culturing technique that is used to produce bioactive secondary metabolites from cultured microorganisms most likely missed the majority of bacterial-metabolites that exist in the nature (Banik & Brady, 2010).…”
Section: Another Emerging Approach In Ma-rine Drug Discoverymentioning
confidence: 99%
“…Metagenomics is basically a modern genomics approach to isolate the DNA of microbial communities directly from their natural environments (environmental DNA/eDNA), therefore difficulties associated with culturing the microbes can be avoided (Chen & Pachter, 2005). Since the genetic information that encoding the secondary metabolites produced by microorganism is typically clustered on the microorganisms' chromosomes, hence it is possible to predict the complete gene clusters of secondary metabolites biosynthesis on those organisms, which might provide a renewable source of the secondary metabolites (Banik & Brady, 2010). Once a gene has been identified, the genetic information can be used for compound production.…”
Section: Another Emerging Approach In Ma-rine Drug Discoverymentioning
confidence: 99%
“…Thereby, even the uncultivable microorganisms are addressed. The gathered genetic information is then scanned for potential biosynthetic genes in the hope for identification of novel natural products in a similar way as previously discussed (see section 4.5) (Banik & Brady, 2010;Miao & Davies, 2009). Alternatively, metagenomic expression libraries can also be directly assayed for functional products (Brady, 2007).…”
Section: Metagenomicsmentioning
confidence: 99%
“…Singh & Macdonald, 2010). Finally, it is imperative to enrich microbial populations for strains with potential to produce complex secondary metabolites (see section 4.2) (Miao & Davies, 2009) or enrich isolated eDNA samples for genes of interest (Banik & Brady, 2010) before the metagenomic library is constructed to minimize background.…”
Section: Metagenomicsmentioning
confidence: 99%