Pyrosequencing enumerates and contrasts soil microbial diversity

By Luiz F. W. Roesch, R. Fulthorpe, A. Riva, George Casella, A. Hadwin, A. Kent, S. Daroub, Flavio A. O. Camargo, W. Farmerie, E. Triplett. The ISME Journal, 2007

1,860 citations recorded by the source corpus.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d667221b422ecb45936fc3d627c1cffd4675e485

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Citations in the corpus

Characterization of bacterial communities in soil and sediment of a created riverine wetland complex using high-throughput 16S rRNA amplicon sequencing (2014, background): “High-throughput 16S rRNA amplicon sequencing echnique have been used to study microbial communities in grassand and forest soils (Roesch et al., 2007; Lauber et al., 2009; Nacke t al., 2011), activated sludge (Sanapareddy et al., 2009; Zhang et al., 012), and freshwater sediments (Röske et al.,…”
Soil microbial community structure and function relationships: A heat stress experiment (2015, background): “situ under different disturbances, such as land use (Six et al., 2004; Kaye et al., 2005; Brown et al., 2007; Roesch et al., 2007).”
Comparative analysis of the microbial communities in agricultural soil amended with enhanced biochars or traditional fertilisers (2014, background): “This eflects the large microbial diversity and complexity of the soil abitat (Gans et al., 2005; Roesch et al., 2007).”
A microbiotic survey of lichen-associated bacteria reveals a new lineage from the Rhizobiales (2009, methodology): “, 2007) or highthroughput metagenomic methods (Edwards et al., 2006; Ley et al., 2006; Liu et al., 2007; Margulies et al., 2005; Roesch et al., 2007; Turnbaugh et al., 2006, 2007).”
Influence of corn, switchgrass, and prairie cropping systems on soil microbial communities in the upper Midwest of the United States (2016, methodology): “Pyrosequencing the rRNA gene provided in-depth taxonomic information (Roesch et al., 2007), and gene-targeted metagenomics provided information on a subset of the community responsible for a certain function (Iwai et al.”
Exploring Microbial Diversity and Taxonomy Using SSU rRNA Hypervariable Tag Sequencing (2008, background): “Rarefaction data from this study and others show that in many environments, even this level of sequencing is insufficient to fully describe microbial diversity [5,26].”
What drives study‐dependent differences in distance–decay relationships of microbial communities? (2021, methodology): “The development of molecular methods, including high- throughput sequencing platforms, has vastly improved our ability to characterize microbial communities (Caporaso et al., 2012; Roesch et al., 2007).”
Soil biodiversity and soil community composition determine ecosystem multifunctionality (2014, background): “It has been estimated that 1 g of soil contains up to 1 billion bacteria cells consisting of tens of thousands of taxa, up to 200 m fungal hyphae, and a wide range of mites, nematodes, earthworms, and arthropods (7, 8).”
High throughput sequencing analysis of biogeographical distribution of bacterial communities in the black soils of northeast China (2014, methodology): “, 2008), it is impossible to detect the full extent of bacterial diversity in a single soil, even if a full pyrosequencing was conducted (Roesch et al., 2007; Fulthorpe et al., 2008).”
Microbial biogeography at the soil pore scale (2011, background): “Soil is a highly complexmaterial which harbours among themost important reservoirs of biodiversity on the planet (Curtis et al., 2002; Roesch et al., 2007).”
Simultaneous Assessment of Soil Microbial Community Structure and Function through Analysis of the Meta-Transcriptome (2008, methodology): “This dataset–which was generated without any PCR or cloning steps–was two to three orders of magnitude larger than traditional rDNA clone libraries, and was also far larger than recently published soil-derived pyro-sequencing datasets [26],”
Evaluation of the bacterial diversity in the feces of cattle using 16S rDNA bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP) (2008, methodology): “The use of rapid sequencing technologies combined with molecular methods is becoming a gold standard for evaluating the microbiomes of animals [21-25].”