@article {375,
	title = {Characterization of trapped lignin-degrading microbes in tropical forest soil.},
	journal = {PLoS One},
	volume = {6},
	year = {2011},
	month = {2011},
	pages = {e19306},
	abstract = {Lignin is often the most difficult portion of plant biomass to degrade, with fungi generally thought to dominate during late stage decomposition. Lignin in feedstock plant material represents a barrier to more efficient plant biomass conversion and can also hinder enzymatic access to cellulose, which is critical for biofuels production. Tropical rain forest soils in Puerto Rico are characterized by frequent anoxic conditions and fluctuating redox, suggesting the presence of lignin-degrading organisms and mechanisms that are different from known fungal decomposers and oxygen-dependent enzyme activities. We explored microbial lignin-degraders by burying bio-traps containing lignin-amended and unamended biosep beads in the soil for 1, 4, 13 and 30 weeks. At each time point, phenol oxidase and peroxidase enzyme activity was found to be elevated in the lignin-amended versus the unamended beads, while cellulolytic enzyme activities were significantly depressed in lignin-amended beads. Quantitative PCR of bacterial communities showed more bacterial colonization in the lignin-amended compared to the unamended beads after one and four weeks, suggesting that the lignin supported increased bacterial abundance. The microbial community was analyzed by small subunit 16S ribosomal RNA genes using microarray (PhyloChip) and by high-throughput amplicon pyrosequencing based on universal primers targeting bacterial, archaeal, and eukaryotic communities. Community trends were significantly affected by time and the presence of lignin on the beads. Lignin-amended beads have higher relative abundances of representatives from the phyla Actinobacteria, Firmicutes, Acidobacteria and Proteobacteria compared to unamended beads. This study suggests that in low and fluctuating redox soils, bacteria could play a role in anaerobic lignin decomposition.},
	keywords = {Biodiversity, Biomass, Ecosystem, Gases, Lignin, Oligonucleotide Array Sequence Analysis, Phylogeny, Plants, RNA, Ribosomal, 16S, Sequence Analysis, DNA, Soil Microbiology, Trees},
	issn = {1932-6203},
	doi = {10.1371/journal.pone.0019306},
	author = {Deangelis, Kristen M and Allgaier, Martin and Chavarria, Yaucin and Fortney, Julian L and Hugenholtz, Phillip and Simmons, Blake and Sublette, Kerry and Silver, Whendee L and Hazen, Terry C}
}
@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}
}
