2019
DOI: 10.1101/839696
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Phylogenetic and metabolic diversity have contrasting effects on the ecological functioning of bacterial communities

Abstract: Biodiversity can affect microbial ecosystem functioning because greater numbers of species, and their associated genetic and metabolic differences, can contribute at different times and contexts to overall ecosystem functioning. Quantifying the relative contributions of microbial species to ecosystem functioning is challenging, because of the distinct mechanisms that are associated with their phylogenetic diversity vs. their metabolic diversity. We used synthetic bacterial communities to test the indep… Show more

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Cited by 4 publications
(2 citation statements)
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“…7,43 Despite the ubiquity of unidirectional cross-feeding interactions in nature, the factors determining their establishment remain poorly understood. [44][45][46][47] In particular, it is unclear how the relationship between the metabolite donor and the auxotrophic recipient affects the likelihood that a cross-feeding interaction is successfully established. Two possibilities are conceivable.…”
Section: Introductionmentioning
confidence: 99%
“…7,43 Despite the ubiquity of unidirectional cross-feeding interactions in nature, the factors determining their establishment remain poorly understood. [44][45][46][47] In particular, it is unclear how the relationship between the metabolite donor and the auxotrophic recipient affects the likelihood that a cross-feeding interaction is successfully established. Two possibilities are conceivable.…”
Section: Introductionmentioning
confidence: 99%
“…These 16S rRNA-based studies have robustly characterized taxonomic dynamics. However, bacterial communities can assemble based on function [27] and phylogenetic and functional diversity can reveal unique aspects of microbial communities [28] Metatranscriptomics complements 16S rRNA amplicon data by extracting the total RNA in a sample and enriching for and sequencing the mRNA to identify the recently transcribed genes. Transcriptomics can reveal patterns at a relatively fine scale, resulting in a deep characterization of the active processes, such as pathway utilization and unexpected gene activity.…”
Section: Introductionmentioning
confidence: 99%