Stochastic and deterministic assembly processes in subsurface microbial communities

By James C. Stegen, Xueju Lin, Allan E. Konopka, Jim K. Fredrickson. The ISME Journal, 2012

1,736 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0920516f31aed386296f9ff920f023368f9c1c74

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Citations in the corpus

Dispersal traits drive the phylogenetic distance decay of similarity in Neotropical stream metacommunities (2015, methodology): “We used the abundance-weighted mean value of all environmental characteristics for the calculations – i.e. the difference in the mean value of dissolved oxygen, turbidity, and temperature among the pairs of genera for the sites where they occurred (Stegen et al., 2012; Wang et al., 2013).”
Rhizosphere-associated bacterial network structure and spatial distribution differ significantly from bulk soil in wheat crop fields (2017, background): “Beta nearest taxon index (betaNTI) is the number of standard deviations that the observed betaMNTD is from the mean of null distribution, betaNTI below 2 or above þ2 indicates less than or greater than expected phylogenetic turnover, for one pair-wise comparison (Stegen et al., 2012).”
Disentangling mechanisms that mediate the balance between stochastic and deterministic processes in microbial succession (2015, background): “This result is consistent with previous studies on microbial communities in different environments (3, 42, 44, 45) and suggests that within the salt marsh chronosequence, underlying ecological processes can be inferred from analyses of phylogenetic turnover.”
Quantifying community assembly processes and identifying features that impose them (2013, methodology): “The ISME Journal Our quantitative results are consistent with qualitative conclusions from previous work showing that Selection often has some detectable influence over microbial communities (Andersson et al., 2010; Ofiteru et al., 2010; Stegen et al., 2012).”
Mathematical Modeling of Microbial Community Dynamics: A Methodological Review (2014, background): “[19]) and (ii) models for simulating cell-to-cell communication (such as quorum sensing) on a micro-scale (e.”
Soil pH and biome are both key determinants of soil archaeal community structure (2015, methodology): “Significant phylogenetic signals were detected for both 16S rRNA and amoA genes at shorter phylogenetic distances, which is consistent with previous studies on bacteria (Stegen et al., 2012; Wang et al., 2013).”
A general framework for quantitatively assessing ecological stochasticity (2019, background): “, βNTI based on phylogenetic dissimilarity) (7, 20, 25) have been widely applied to infer ecological stochasticity (4).”