Quantifying the roles of immigration and chance in shaping prokaryote community structure.

By William T. Sloan, Mary Lunn, Stephen Woodcock, I. Head, Sean Nee, Thomas P. Curtis. Environmental Microbiology, 2006

1,578 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/174c87259c5c48976726cad667d6da8e4de2e1d7

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Citations in the corpus

Analysis of the Upper Respiratory Tract Microbiotas as the Source of the Lung and Gastric Microbiotas in Healthy Individuals (2015, methodology): “tomized R script based on the neutral model (42) was then used to identify”
Biogeography of Bacterioplankton in Inland Waters (2008, positive): “Some support of the neutral model is given by results from a study of 96 lakes conducted by Sloan et al. (2006).”
Similar community assembly mechanisms underlie similar biogeography of rare and abundant bacteria in lakes on Yungui Plateau, China (2017, methodology): “The growing efforts in understanding these mechanisms mainly center on two schools of thought (Liao et al. 2016a,b; Sloan et al. 2006; Ofiţeru et al. 2010; Langenheder and Sz ekely 2011; Liao et al. 2016a,b; Lindstr€ om and € Ostman 2011; Lindstr€ om and Langenheder 2012; Nemergut et al. 2013).”
Contribution of neutral processes to the assembly of gut microbial communities in the zebrafish over host development (2015, methodology): “To determine the potential importance of neutral processes to community assembly, we assessed the fit of the Sloan Neutral Community Model for Prokaryotes to the distributions of microbial taxa in our data (Sloan et al., 2006).”
From Animalcules to an Ecosystem: Application of Ecological Concepts to the Human Microbiome (2012, background): “Although initial studies have proposed elegant mathematical solutions to these challenges in model-fitting studies (Ofiteru et al. 2010, Sloan et al. 2006), empirical testing and validation of neutral model assumptions in bacterial communities remains difficult.”
A general framework for quantitatively assessing ecological stochasticity (2019, methodology): “The synthetic datasets were used to evaluate the performance of ST, NST, and the neutral species percentage (NP) calculated from Sloan’s neutral model (34, 35), based on the accuracy and precision coefficients derived from concordance correlations (36, 37).”
Identifying personal microbiomes using metagenomic codes (2015, background): “Highly prevalent features also tended to be locally abundant (for species, Spearman ’ s r = 0.68; two-tailed P < 10 − 58 ), and the enhanced acquisition of locally abundant, highly prevalent features is consistent with models of microbiome assembly that include neutral processes (26).”
The relative importance of local conditions and regional processes in structuring aquatic plant communities (2010, background): “A large amount of stochasticity in the organisation of bacterial communities also has been suggested recently (Sloan et al., 2006; Langenheder & Ragnarsson, 2007).”
Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea (2011, background): “As salinity in the Baltic Sea is coupled to the geographic location (Figure 2a), the observed relationship could potentially also be due to spatial effects, either reflecting spatially limited microbial dispersal (Hubbell, 2001; Sloan et al., 2006) or involving other geographically correlated enviro”