@article {373,
	title = {PCR amplification-independent methods for detection of microbial communities by the high-density microarray PhyloChip.},
	journal = {Appl Environ Microbiol},
	volume = {77},
	year = {2011},
	month = {2011 Sep},
	pages = {6313-22},
	abstract = {Environmental microbial community analysis typically involves amplification by PCR, despite well-documented biases. We have developed two methods of PCR-independent microbial community analysis using the high-density microarray PhyloChip: direct hybridization of 16S rRNA (dirRNA) or rRNA converted to double-stranded cDNA (dscDNA). We compared dirRNA and dscDNA communities to PCR-amplified DNA communities using a mock community of eight taxa, as well as experiments derived from three environmental sample types: chromium-contaminated aquifer groundwater, tropical forest soil, and secondary sewage in seawater. Community profiles by both direct hybridization methods showed differences that were expected based on accompanying data but that were missing in PCR-amplified communities. Taxon richness decreased in RNA compared to that in DNA communities, suggesting a subset of 20\% in soil and 60\% in groundwater that is active; secondary sewage showed no difference between active and inactive populations. Direct hybridization of dscDNA and RNA is thus a viable alternative to PCR-amplified microbial community analysis, providing identification of the active populations within microbial communities that attenuate pollutants, drive global biogeochemical cycles, or proliferate disease states.},
	keywords = {Biodiversity, DNA, Complementary, Environmental Microbiology, Metagenomics, Microarray Analysis, Oligonucleotide Array Sequence Analysis, RNA, Ribosomal, 16S, Sensitivity and Specificity},
	issn = {1098-5336},
	doi = {10.1128/AEM.05262-11},
	author = {Deangelis, Kristen M and Wu, Cindy H and Beller, Harry R and Brodie, Eoin L and Chakraborty, Romy and DeSantis, Todd Z and Fortney, Julian L and Hazen, Terry C and Osman, Shariff R and Singer, Mary E and Tom, Lauren M and Andersen, Gary L}
}
@article {378,
	title = {Selective progressive response of soil microbial community to wild oat roots.},
	journal = {ISME J},
	volume = {3},
	year = {2009},
	month = {2009 Feb},
	pages = {168-78},
	abstract = {Roots moving through soil induce physical and chemical changes that differentiate rhizosphere from bulk soil, and the effects of these changes on soil microorganisms have long been a topic of interest. The use of a high-density 16S rRNA microarray (PhyloChip) for bacterial and archaeal community analysis has allowed definition of the populations that respond to the root within the complex grassland soil community; this research accompanies compositional changes reported earlier, including increases in chitinase- and protease-specific activity, cell numbers and quorum sensing signal. PhyloChip results showed a significant change compared with bulk soil in relative abundance for 7\% of the total rhizosphere microbial community (147 of 1917 taxa); the 7\% response value was confirmed by16S rRNA terminal restriction fragment length polymorphism analysis. This PhyloChip-defined dynamic subset was comprised of taxa in 17 of the 44 phyla detected in all soil samples. Expected rhizosphere-competent phyla, such as Proteobacteria and Firmicutes, were well represented, as were less-well-documented rhizosphere colonizers including Actinobacteria, Verrucomicrobia and Nitrospira. Richness of Bacteroidetes and Actinobacteria decreased in soil near the root tip compared with bulk soil, but then increased in older root zones. Quantitative PCR revealed rhizosphere abundance of beta-Proteobacteria and Actinobacteria at about 10(8) copies of 16S rRNA genes per g soil, with Nitrospira having about 10(5) copies per g soil. This report demonstrates that changes in a relatively small subset of the soil microbial community are sufficient to produce substantial changes in functions observed earlier in progressively more mature rhizosphere zones.},
	keywords = {Avena sativa, Bacteria, Biodiversity, Colony Count, Microbial, Microarray Analysis, Oligonucleotide Array Sequence Analysis, Plant Roots, Polymerase Chain Reaction, RNA, Bacterial, RNA, Ribosomal, 16S, Soil Microbiology},
	issn = {1751-7370},
	doi = {10.1038/ismej.2008.103},
	author = {Deangelis, Kristen M and Brodie, Eoin L and DeSantis, Todd Z and Andersen, Gary L and Lindow, Steven E and Firestone, Mary K}
}
