Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite

By F. Warnecke, P. Luginbühl, Natalia N. Ivanova, M. Ghassemian, T. Richardson, J. Stege, M. Cayouette, Alice Carolyn McHardy, G. Djordjevic, N. Aboushadi and 29 more. Nature, 2007

1,356 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science

View Paper: https://www.semanticscholar.org/paper/2ef73be00550ff9565488804aada0795291c9bf2

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Citations in the corpus

Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis. (2012, background): “termite hindgut [9], human intestinal tract [10], human saliva [11,12], and cow rumen [2,13]), and has”
Microbial Enzymes: Tools for Biotechnological Processes (2014, background): “Studies from different habitats such as volcanic vents, arctic tundra, cow rumen [19], marine environments [20], and termite guts [21] have yielded microbial enzymes with potential for”
Metagenomic Analyses: Past and Future Trends (2010, background): “Recent examples of metagenomic surveys of whole microbial communities include those studying the hindgut microbiota of a wood-feeding higher termite (138), glacier ice (110), sludge communities subjected to enhanced biological phosphorus removal (34), a biogas plant microbial community (63), and Min”
Experimental factors affecting PCR-based estimates of microbial species richness and evenness (2010, background): “These results are consistent with previous PCR-based (Warnecke et al., 2007) and FISH-based (Hongoh et al., 2006) profiles of Nasutitermes spp. hindgut communities.”
Differential Growth Responses of Soil Bacterial Taxa to Carbon Substrates of Varying Chemical Recalcitrance (2011, background): “…negative values demonstrate more even dispersion than would be expected by a random sampling across a phylogeny (Horner-Devine and Bohannan, 2006; Webb et al., 2008). relatIonshIp between growth response and rrna copy nuMber To assess whether the growth response of bacteria following substrate…”
Microbial cellulolytic enzymes: diversity and biotechnology with reference to lignocellulosic biomass degradation (2020, methodology): “Thus identified bacterial genes could hydrolyze cellulose and xylan (Warnecke et al. 2007).”
Role of the Termite Gut Microbiota in Symbiotic Digestion (2010, background): “Finally, the emerging role of uncultivated bacteria in fiber digestion was substantiated by a metagenomic analysis of the hindgut microbiota of a different Nasutitermes species, yielding numerous endoglucanase genes which phylogenetic binning suggested were encoded by members of Fibrobacteres and Sp”
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality (2017, background): “…[71] by finding pathways to cure cancer [72–74]; biology with explanations for the presence of microbiota in the human gut [75] and termites [76], protein analysis and genetics [77]; biotechnology with the design of new drugs [78,79]; artificial intelligence with robots adapting like…”
Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases (2009, background): “In the termite hindgut, there appears to be an abundance of genes involved in nitrogen fixation, presumably because of a diet of wood that is depleted in nitrogen (41).”
Atmosphere: A Source of Pathogenic or Beneficial Microbes? (2012, background): “Elegant examples of the biotech applications of the metagenomic tool are the functional analysis of hindgut microbiota of a wood-feeding higher termite [105] and worms [106], which provide potential sources of biochemical catalysts for converting wood into biofuels.”