S
Steven W. Kembel
Researcher at Université du Québec à Montréal
Publications - 103
Citations - 15892
Steven W. Kembel is an academic researcher from Université du Québec à Montréal. The author has contributed to research in topics: Phyllosphere & Phylogenetic tree. The author has an hindex of 40, co-authored 88 publications receiving 13094 citations. Previous affiliations of Steven W. Kembel include University of Oregon & University of Alberta.
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The Phylogenetic Diversity of Metagenomes
TL;DR: This study leveraged fully sequenced bacterial genomes as a scaffold to enable inference of phylogenetic relationships among metagenomic sequences from multiple phylogenetic marker gene families, and applied this method to understand patterns of microbial phylogenetic diversity and community assembly along an oceanic depth gradient.
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Independent Evolution of Leaf and Root Traits within and among Temperate Grassland Plant Communities
TL;DR: Results suggest that sorting of pre-existing trait variation into local communities can explain the leaf and root trait diversity in these grasslands.
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Flowering phenology as a functional trait in a tallgrass prairie
TL;DR: The pattern of FFDs among the species of the Konza grassland was shaped by local climate, can be linked to resource use by species, and patterns of species abundance across the landscape, and selection for flowering phenology may be independent of general resource strategies.
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PhylOTU: A High-Throughput Procedure Quantifies Microbial Community Diversity and Resolves Novel Taxa from Metagenomic Data
Thomas J. Sharpton,Samantha J. Riesenfeld,Steven W. Kembel,Joshua Ladau,James P. O'Dwyer,James P. O'Dwyer,Jessica L. Green,Jonathan A. Eisen,Katherine S. Pollard +8 more
TL;DR: Comparisons of PCR and shotgun sequenced SSU-rRNA markers derived from the global open ocean revealed that while PCR libraries identify more OTUs per sequenced residue, metagenomic libraries recover a greater taxonomic diversity of OTUs.
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Tree phyllosphere bacterial communities: exploring the magnitude of intra- and inter-individual variation among host species.
TL;DR: The results suggest that individual samples from consistent positions within the tree canopy from multiple individuals per species can be used to accurately quantify variation in phyllosphere bacterial community structure.