3 Works

Data from: Convergent evolution of phenotypic integration and its alignment with morphological diversification in Carribean Anolis ecomorphs

Jason J. Kolbe, Liam J. Revell, Brian Szekely, & Jonathan B Losos
The adaptive landscape and the G-matrix are keys concepts for understanding how quantitative characters evolve during adaptive radiation. In particular, whether the adaptive landscape can drive convergence of phenotypic integration (i.e., the pattern of phenotypic variation and covariation summarized in the P-matrix) is not well studied. We estimated and compared P for 19 morphological traits in eight species of Caribbean Anolis lizards, finding that similarity in P among species was not correlated with phylogenetic distance....

Data from: Phenotypic assortment mediates the effect of social selection in a wild beetle population

Vincent A. Formica, Joel W. McGlothlin, Corlett Wolfe Wood, Malcolm E. Augat, R. Eileen Butterfield, Mollie E. Barnard &
Social interactions often have major fitness consequences, but little is known about how specific interacting phenotypes affect the strength of natural selection. Social influences on the evolutionary process can be assessed using a multilevel selection approach that partitions the effects of social partner phenotypes on fitness (referred to as social or group selection) from those of the traits of a focal individual (nonsocial or individual selection). To quantify the contribution of social selection to total...

Data from: Stalking the fourth domain in metagenomic data: searching for, discovering, and interpreting novel, deep branches in phylogenetic trees of phylogenetic marker genes

Dongying Wu, Martin Wu, Aaron Halpern, Douglas B. Rusch, Shibu Yooseph, Marvin Frazier, J. Craig Venter & Jonathan A. Eisen
BACKGROUND: Most of our knowledge about the ancient evolutionary history of organisms has been derived from data associated with specific known organisms (i.e., organisms that we can study directly such as plants, metazoans, and culturable microbes). Recently, however, a new source of data for such studies has arrived: DNA sequence data generated directly from environmental samples. Such metagenomic data has enormous potential in a variety of areas including, as we argue here, in studies of...

Registration Year

  • 2011
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Resource Types

  • Dataset
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Affiliations

  • University of Virginia
    3
  • National Evolutionary Synthesis Center
    1
  • Massachusetts General Hospital
    1
  • Swarthmore College
    1
  • University of Groningen
    1
  • Harvard University
    1
  • J. Craig Venter Institute
    1
  • University of California, Davis
    1