53 Works

Data from: Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis

Polly Y. Hsu, Lorenzo Calviello, Hsin-Yen Larry Wu, Fay-Wei Li, Carl J. Rothfels, Uwe Ohler & Philip N. Benfey
Deep sequencing of ribosome footprints (ribosome profiling) maps and quantifies mRNA translation. Because ribosomes decode mRNA every 3 nt, the periodic property of ribosome footprints could be used to identify novel translated ORFs. However, due to the limited resolution of existing methods, the 3-nt periodicity is observed mostly in a global analysis, but not in individual transcripts. Here, we report a protocol applied to Arabidopsis that maps over 90% of the footprints to the main...

Data from: Environmental controls on canopy foliar N distributions in a neotropical lowland forest

Christopher S. Balzotti, Gregory P. Asner, Philip G. Taylor, Cory C. Cleveland, Rebecca Cole, Roberta E. Martin, Megan Nasto, Brooke B. Osborne, Stephen Porder & Alan R. Townsend
Distributions of foliar nutrients across forest canopies can give insight into their plant functional diversity and improve our understanding of biogeochemical cycling. We used airborne remote sensing and Partial Least Squares Regression (PLSR) to quantify canopy foliar nitrogen (N) across ~164 km2 of wet lowland tropical forest in the Osa Peninsula, Costa Rica. We determined the relative influence of climate and topography on the observed patterns of canopy foliar N using a gradient boosting model...

Data from: Host genotype and age shape the leaf and root microbiomes of a wild perennial plant

Maggie R. Wagner, Derek S. Lundberg, Tijana G. Del Rio, Susannah G. Tringe, Jeffery L. Dangl & Thomas Mitchell-Olds
Bacteria living on and in leaves and roots influence many aspects of plant health, so the extent of a plant’s genetic control over its microbiota is of great interest to crop breeders and evolutionary biologists. Laboratory-based studies, because they poorly simulate true environmental heterogeneity, may misestimate or totally miss the influence of certain host genes on the microbiome. Here we report a large-scale field experiment to disentangle the effects of genotype, environment, age and year...

Registration Year

  • 2016

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  • Dataset
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  • Duke University
  • University of California, Berkeley
  • North Carolina State University
  • University of Washington
  • University of Florida
  • Arizona State University
  • Instituto de Pesquisas Ecológicas
  • Stanford University School of Medicine
  • University of North Carolina
  • University of Cambridge