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@ARTICLE{He:9598,
author = {He, Z. and Deng, Y. and Van Nostrand, J.D. and Tu, Q. and
Xu, M. and Hemme, C.L. and Li, X. and Wu, L. and Gentry,
T.J. and Yin, Y. and Liebich, J. and Hazen, T.C. and Zhou,
J.},
title = {{G}eo{C}hip 3.0 as a high-throughput tool for analyzing
microbial community composition, structure and functional
activity},
journal = {The ISME journal},
volume = {4},
issn = {1751-7362},
address = {Basingstoke},
publisher = {Nature Publishing Group},
reportid = {PreJuSER-9598},
pages = {1167 - 1179},
year = {2010},
note = {This work is supported by the Genomics: GTL program through
the Virtual Institute of Microbial Stress and Survival
(VIMSS; http://vimss.lbl.gov) as part of contract no.
DE-AC02-05CH11231 between the US Department of Energy and
Lawrence Berkeley National Laboratory, the United States
Department of Agriculture (Project 2007-35319-18305) through
NSF-USDA Microbial Observatories Program, the Environmental
Remediation Science Program, the Oklahoma Bioengery Center
(OBC) of State of Oklahoma, and the Oklahoma Applied
Research Support (OARS), Oklahoma Center for the Advancement
of Science and Technology (OCAST), the State of Oklahoma.},
abstract = {A new generation of functional gene arrays (FGAs; GeoChip
3.0) has been developed, with approximately 28 000 probes
covering approximately 57 000 gene variants from 292
functional gene families involved in carbon, nitrogen,
phosphorus and sulfur cycles, energy metabolism, antibiotic
resistance, metal resistance and organic contaminant
degradation. GeoChip 3.0 also has several other distinct
features, such as a common oligo reference standard (CORS)
for data normalization and comparison, a software package
for data management and future updating and the gyrB gene
for phylogenetic analysis. Computational evaluation of probe
specificity indicated that all designed probes would have a
high specificity to their corresponding targets.
Experimental analysis with synthesized oligonucleotides and
genomic DNAs showed that only $0.0036-0.025\%$
false-positive rates were observed, suggesting that the
designed probes are highly specific under the experimental
conditions examined. In addition, GeoChip 3.0 was applied to
analyze soil microbial communities in a multifactor
grassland ecosystem in Minnesota, USA, which showed that the
structure, composition and potential activity of soil
microbial communities significantly changed with the plant
species diversity. As expected, GeoChip 3.0 is a
high-throughput powerful tool for studying microbial
community functional structure, and linking microbial
communities to ecosystem processes and functioning.},
keywords = {Bacteria: classification / Bacteria: genetics / Biota /
Computational Biology: methods / DNA Gyrase: genetics / Drug
Resistance, Bacterial / Environmental Microbiology /
Metabolic Networks and Pathways: genetics / Metagenomics:
methods / Microarray Analysis: methods / Oligonucleotide
Array Sequence Analysis: methods / Oligonucleotide Probes:
genetics / Phylogeny / Sensitivity and Specificity /
Software / Oligonucleotide Probes (NLM Chemicals) / DNA
Gyrase (NLM Chemicals) / J (WoSType)},
cin = {ICG-4},
ddc = {570},
cid = {I:(DE-Juel1)VDB793},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Ecology / Microbiology},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:20428223},
UT = {WOS:000281663700015},
doi = {10.1038/ismej.2010.46},
url = {https://juser.fz-juelich.de/record/9598},
}