GeoChip: a comprehensive microarray for investigating biogeochemical, ecological and environmental processes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-05

AUTHORS

Zhili He, Terry J Gentry, Christopher W Schadt, Liyou Wu, Jost Liebich, Song C Chong, Zhijian Huang, Weimin Wu, Baohua Gu, Phil Jardine, Craig Criddle, Jizhong Zhou

ABSTRACT

Owing to their vast diversity and as-yet uncultivated status, detection, characterization and quantification of microorganisms in natural settings are very challenging, and linking microbial diversity to ecosystem processes and functions is even more difficult. Microarray-based genomic technology for detecting functional genes and processes has a great promise of overcoming such obstacles. Here, a novel comprehensive microarray, termed GeoChip, has been developed, containing 24,243 oligonucleotide (50 mer) probes and covering >10,000 genes in >150 functional groups involved in nitrogen, carbon, sulfur and phosphorus cycling, metal reduction and resistance, and organic contaminant degradation. The developed GeoChip was successfully used for tracking the dynamics of metal-reducing bacteria and associated communities for an in situ bioremediation study. This is the first comprehensive microarray currently available for studying biogeochemical processes and functional activities of microbial communities important to human health, agriculture, energy, global climate change, ecosystem management, and environmental cleanup and restoration. It is particularly useful for providing direct linkages of microbial genes/populations to ecosystem processes and functions. More... »

PAGES

67

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ismej.2007.2

DOI

http://dx.doi.org/10.1038/ismej.2007.2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001799124

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18043615


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ismej.2007.2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ismej.2007.2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ismej.2007.2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ismej.2007.2'


 

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