2023
DOI: 10.1128/msystems.01066-22
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Comparative Analysis of Core Microbiome Assignments: Implications for Ecological Synthesis

Abstract: Different methods are commonly used to assign core microbiome membership, leading to methodological inconsistencies across studies. In this study, we review a set of the most commonly used core microbiome assignment methods and compare their core assignments using both simulated and empirical data.

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Cited by 35 publications
(23 citation statements)
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“…Forests had the highest proportion of specialist indicator taxa (45% or 214 taxa) of all successional stages, whereas 183 indicator taxa were shared between all three stages of grasslands (Figure 4D). Core microbiomes can be characterised by bacterial taxa that are highly enriched across certain environments or host plant species, as defined through prevalence or occupancy thresholds (Custer et al, 2023), and can be of disproportionate relevance for host fitness or ecosystem function (D Ainsworth et al, 2015; Toju et al, 2018). Based on our results, the asymptotic convergence of zeta decline and taxa retention curves for all land‐use categories into core sets of taxa shared across multiple sites provides compelling complementary evidence for core microbiomes in both grasslands and forests, that generally reflect the overall community turnover patterns.…”
Section: Discussionmentioning
confidence: 99%
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“…Forests had the highest proportion of specialist indicator taxa (45% or 214 taxa) of all successional stages, whereas 183 indicator taxa were shared between all three stages of grasslands (Figure 4D). Core microbiomes can be characterised by bacterial taxa that are highly enriched across certain environments or host plant species, as defined through prevalence or occupancy thresholds (Custer et al, 2023), and can be of disproportionate relevance for host fitness or ecosystem function (D Ainsworth et al, 2015; Toju et al, 2018). Based on our results, the asymptotic convergence of zeta decline and taxa retention curves for all land‐use categories into core sets of taxa shared across multiple sites provides compelling complementary evidence for core microbiomes in both grasslands and forests, that generally reflect the overall community turnover patterns.…”
Section: Discussionmentioning
confidence: 99%
“…This was interpreted as indicating the presence of core taxa within the successional stages. Next, we derived these putative core microbiomes for further analyses by prevalence filtering based on occupancy thresholds (Custer et al, 2023). For this, we considered taxa occupying a minimum of 80% of the sites within any given successional stage to be part of the core microbiome.…”
Section: Methodsmentioning
confidence: 99%
“…2020 ), and overlapping KEGG Orthologs (KO) between PICRUSt2 and Tax4Fun2 outputs were used for final data visualization with PICRUSt2 abundance values. The coral core microbiome was determined for species-specific community taxa at a prevalence threshold of 30, 60, and 90% using the “occupancy method” defined by Custer et al. (2023) , e.g., present in equal to or greater than X% of samples ( Ainsworth et al.…”
Section: Methodsmentioning
confidence: 99%
“…To estimate the degree of differentiation between the common core microbiota [44] of the Dutch and SAS samples, Principal Coordinate Analysis (PCoA) [45] was applied based on the RAs of the taxa. First, a prevalence threshold of 50% [46] was applied. Then, the first two principal components were plotted in a two-dimensional space.…”
Section: Methodsmentioning
confidence: 99%