6 Works

Data from: Open-ocean fish reveal an omnidirectional solution to camouflage in polarized environments

Parrish C. Brady, Alexander A. Gilerson, George W. Kattawar, James M. Sullivan, Michael S. Twardowski, Heidi M. Dierssen, Meng Gao, Kort Travis, Robert I. Etheredge, Alberto Tonizzo, Amir Ibrahim, Carlos Carrizo, Yalong Gu, Brandon J. Russell, Kathryn Mislinski, Shulei Zhao & Molly E. Cummings
Despite appearing featureless to our eyes, the open ocean is a highly variable environment for polarization-sensitive viewers. Dynamic visual backgrounds coupled with predator encounters from all possible directions make this habitat one of the most challenging for camouflage. We tested open-ocean crypsis in nature by collecting more than 1500 videopolarimetry measurements from live fish from distinct habitats under a variety of viewing conditions. Open-ocean fish species exhibited camouflage that was superior to that of both...

Data from: Rate of evolutionary change in cranial morphology of the marsupial genus Monodelphis is constrained by the availability of additive genetic variation

Arthur Porto, Harley Sebastião, Silvia Eliza Pavan, John L. VandeBerg, Gabriel Marroig & James M. Cheverud
We tested the hypothesis that the rate of marsupial cranial evolution is dependent on the distribution of genetic variation in multivariate space. To do so, we carried out a genetic analysis of cranial morphological variation in laboratory strains of Monodelphis domestica and used estimates of genetic covariation to analyze the morphological diversification of the Monodelphis brevicaudata species group. We found that within-species genetic variation is concentrated in only a few axes of the morphospace and...

Data from: Speciation with gene flow in whiptail lizards from a Neotropical xeric biome

Eliana F. Oliveira, Marcelo Gehara, Vinícius A. São Pedro, Xin Chen, Edward A. Myers, Frank T. Burbrink, Daniel O. Mesquita, Adrian A. Garda, Guarino R. Colli, Miguel T. Rodrigues, Federico J. Arias, Hussam Zaher, Rodrigo M. L. Santos & Gabriel C. Costa
Two main hypotheses have been proposed to explain the diversification of the Caatinga biota. The riverine barrier hypothesis (RBH) claims that the São Francisco River (SFR) is a major biogeographic barrier to gene flow. The Pleistocene climatic fluctuation hypothesis (PCH) states that gene flow, geographic genetic structure, and demographic signatures on endemic Caatinga taxa were influenced by Quaternary climate fluctuation cycles. Herein we analyze genetic diversity and structure, phylogeographic history, and diversification of a widespread...

Data from: Model misspecification confounds the estimation of rates and exaggerates their time dependency

Brent Emerson, Diego Alvarado-Serrano, Michael Hickerson, Brent C. Emerson & Michael J. Hickerson
While welcoming the comment of Ho et al. (2015), we find little that undermines the strength of our criticism, and it would appear they have misunderstood our central argument. Here we respond with the purpose of reiterating that we are (i) generally critical of much of the evidence presented in support of the time-dependent molecular rate (TDMR) hypothesis and (ii) specifically critical of estimates of μ derived from tip-dated sequences that exaggerate the importance of...

Data from: Climate impacts on trans-ocean dispersal and habitat in gray whales from the Pleistocene to 2100

S. Elizabeth Alter, Matthias Meyer, Klaas Post, Paul Czechowski, Peter Gravlund, Cork Gaines, Howard C. Rosenbaum, Kristin Kaschner, Samuel T. Turvey, Johannes Van Der Plicht, Beth Shapiro & Michael Hofreiter
Arctic animals face dramatic habitat alteration due to ongoing climate change. Understanding how such species have responded to past glacial cycles can help us forecast their response to today's changing climate. Gray whales are among those marine species likely to be strongly affected by Arctic climate change, but a thorough analysis of past climate impacts on this species has been complicated by lack of information about an extinct population in the Atlantic. While little is...

Data from: Spatially explicit summary statistics for historical population genetic inference

Diego F. Alvarado-Serrano & Michael J. Hickerson
The integration of population genetics with explicit spatial analyses is crucial to address a range of evolutionary and ecological questions under realistic scenarios. Ignoring space can lead to misleading inferences, yet incorporating spatial realism leads to using complex evolutionary models that necessitate distilling raw genetic data into summary statistics that capture information relevant to the models in question. However, summary statistics derived from traditional population genetic theory overlook the valuable spatial component of genetic variation...

Registration Year

  • 2015

Resource Types

  • Dataset


  • City University of New York
  • Queens College, CUNY
  • American Museum of Natural History
  • University of Sao Paulo
  • University of Adelaide
  • The University of Texas at Austin
  • Texas Biomedical Research Institute
  • City College of New York
  • University of Groningen
  • Texas A&M University