3 Works

Desulfovibrio vulgaris Hildenborough Genetic Constructs

Judy Wall, Grant Zane, Thomas Juba, Jennifer Kuehl, Jayashree Ray, Swapnil Chhabra, Valentine Trotter, Maxim Shatsky, Kara De Leon, Kimberly Keller, Kelly Bender, Gareth Butland, Adam Arkin & Adam Deutschbauer
The dissimilatory sulfate-reducing Deltaproteobacterium, Desulfovibrio vulgaris Hildenborough (ATCC 29579), was chosen by the LBNL-led research collaboration ENIGMA to explore tools and protocols for bringing this anaerobe to model status. Here we describe a collection of genetic constructs generated by ENIGMA, which are available to the research community.

Forecasting NDVI in the Galapagos

Noah Charney, Guillaume Bastille-Rousseau, Charles Yackulic, Stephen Blake & James Gibbs
Forecasting ecosystem response to climate change is critical for guiding policy-making but challenging due to: complicated relationships between microclimates and regional climates; species’ responses that are driven by extremes rather than averages; the multifaceted nature of species’ interactions; and the lack of historical analogs to future climates. Given these challenges, even model systems such as the Galapagos Islands, a world-famous biodiversity hotspot and World Heritage Site, lack clear forecasts for future environmental change. Here, we...

A new method for integrating ecological niche modeling with phylogenetics to estimate ancestral distributions

Wilson Guillory & Jason Brown
Ancestral range estimation and projection of niche models into the past have both become common in evolutionary studies where the ancient distributions of organisms are in question. However, these methods are hampered by complementary hurdles: discrete characterization of areas in ancestral range estimation can be overly coarse, especially at shallow timescales, and niche model projection neglects evolution. Phylogenetic niche modeling accounts for both of these issues by incorporating knowledge of evolutionary relationships into a characterization...

Registration Year

  • 2021
    3

Resource Types

  • Dataset
    3

Affiliations

  • Southern Illinois University Carbondale
    3
  • University of Maine
    1
  • Saint Louis University
    1
  • State University of New York
    1
  • IBM Research – Thomas J. Watson Research Center
    1
  • University of Oklahoma
    1
  • Lawrence Berkeley National Laboratory
    1
  • University of Missouri
    1
  • Bayer (United States)
    1
  • United States Geological Survey
    1