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Past NIMBioS Postdoctoral Fellow

Jeremy Beaulieu

Jeremy Beaulieu photo. Dates: September 2012 – February 2015
Personal website
Project Title: Incorporating Hidden Markov models into ancestral state reconstruction methods

Jeremy Beaulieu (Ph.D. Ecology and Evolutionary Biology, Yale Univ., 2012) worked on extending and implementing new methods for identifying different rates of evolution in a binary character along different branches of a phylogeny. Biologists now have the capability of building large phylogenetic trees consisting of tens of thousands species, from which important comparative questions can be addressed. However, to the extent that biologists have applied large trees to comparative data, it is becoming clear that current methods make unrealistic assumptions about how character data are modeled. From a botanical standpoint, Dr. Beaulieu is interested combining biogeographic history with morphological character information to better understand patterns of lineage diversification and its consequences on the distribution of biodiversity. As part of his post-doctoral project, Dr. Beaulieu published a paper in Systematic Biology that illustrated a "Hidden Markov model" (HMM) allowing for the exploration of the evolution of growth form in the Campanulidae, an angiosperm clade, including the familiar composites (sunflowers and relatives), umbels (carrots and relatives), and Dipsacales (honeysuckles and relatives). Results from the Hidden Markov model indicated that branch-specific rates in the evolution of growth habit are a major feature of growth form evolution in campanulids. Dr. Beaulieu has made this method available by releasing an R package called corHMM. The publication led to an invitation to contribute a chapter in a forthcoming book on comparative methods.

Upon completion of his NIMBioS postdoctoral fellowship, Dr. Beaulieu began a postdoctoral fellowship with Drs. Brian O'Meara and Michael Gilchrist, where he is exploring the behavior of a new model for phylogenetic inference. The model applies more realistic processes in molecular evolution, particularly selection and drift. The goal is to use the new model to answer a long-standing phylogenetic question in plant evolution, particularly the role population size plays in the rates of molecular evolution between differing life history strategies.

LiveScience Profile Q&A with Dr. Beaulieu: Evolutionary patterns show biodiversity on earth

Video icon. NIMBioS Seminar: Identifying hidden rate changes in the evolution of a binary morphological character: examples from campanulid angiosperms

Video Interview: New models in the tree of life

Feature Story: Study offers clues to how plants evolved to cope with cold

Publications while at NIMBioS

Beaulieu JM and O'Meara BC. Extinction can be estimated from moderately-sized phylogenies. Evolution (In press).

Beaulieu JM, O'Meara BC. 2016. Detecting hidden diversification shifts in models of trait-dependent speciation and extinction. Systematic Biology, 65(4): 583-601. [Online]

Beaulieu JM, O'Meara BC, Crane P, Donoghue MJ. 2015. Heterogeneous Rates of Molecular Evolution and Diversification Could Explain the Triassic Age Estimate for Angiosperms. Systematic Biology, 64(5): 869-878 [a href="http://sysbio.oxfordjournals.org/content/early/2015/05/04/sysbio.syv027.short" target="_blank">Online]

Dornburg A, Moore J, Beaulieu JM, Eytan RI, Near TJ. 2015. The impact of shifts in marine biodiversity hotspots on patterns of range evolution: Evidence from the Holocentridae (squirrelfishes and soldierfishes). Evolution, 69(1): 146-161. [Online]

Cornwell et al. 2014. Functional distinctiveness of major plant lineages. Journal of Ecology, 102(2): 345-356. [Online]

Leslie AB, Beaulieu JM, Crane PR, Donoghue MJ. 2014. Cone size is related to branching architecture in conifers. New Phytologist, 203(4): 1119-1127. [Online]

Beaulieu JM and O'Meara BC. 2014. Hidden Markov models for studying the evolution of binary morphological character. In Modern Phylogenetic Comparative Methods and their Application in Evolutionary Biology – Concepts and Practice edited by L. Z. Garamszegi. [Online]

O'Meara BC and Beaulieu JM. 2014. Modeling stabilising selection: the attraction of Ornstein-Uhlenbeck models. In Modern Phylogenetic Comparative Methods and their Application in Evolutionary Biology – Concepts and Practice edited by L. Z. Garamszegi. [Online]

Zanne AE, Tank DC, Cornwell WK, Eastman JM, Smith SA, FitzJohn RG, McGlinn DJ, O'Meara BC, Moles AT, Reich PB, Royer DL, Soltis DE, Stevens PF, Westoby M, Wright IJ, Aarssen L, Bertin RI, Calaminus A, Govaerts R, Hemmings F, Leishman MR, Oleksyn J,Soltis PS, Swenson NG, Warman L, Beaulieu JM. 2014. Three keys to the radiation of angiosperms into freezing environments. Nature (published online 22 December 2013). [Online]

Beaulieu JM, O'Meara BC, Donoghue MJ. 2013. Identifying hidden rate changes in the evolution of a binary morphological character: The evolution of plant habit in campanulid angiosperms. Systems Biology, 62(5): 725-737. [Online]

Beaulieu JM, Tank DC, Donoghue MJ. 2013. A Southern Hemisphere origin for campanulid angiosperms, with traces of the break-up of Gondwana. BMC Evolutionary Biology, 13: 80. [Online]

Bossu CM, Beaulieu JM, Ceas PA, Near TJ. 2013. Explicit tests of palaeodrainage connections of southeastern North America and the historical biogeography of Orangethroat Darters (Percidae: Etheostoma: Ceasia). Molecular Ecology, 22(21): 5397-5417. [Online]

Lapiedra O, Sol D, Carranza S, Beaulieu JM. 2013. Behavioural changes and the adaptive diversification of pigeons and doves. Proceedings of the Royal Society B, 280(1755): 20122893. [Online].

Leslie AB, Beaulieu JM, Crane PR, Donoghue MJ. 2013. Explaining the distribution of breeding and dispersal syndromes in conifers. Proceedings of the Royal Society B: Biological Sciences, 280(1770): 20131812. [Online]

Beaulieu JM, Jhwueng DC, Boettiger C, O'Meara BC. 2012. Modeling stabilizing selection: Expanding the Ornstein-Uhlenbeck model of adaptive evolution. Evolution, 66(8): 2369-2383. [Online].

Presentations while at NIMBioS

Beaulieu J. July 2014. Exploring heterogeneity in binary character evolution. Botany 2014, Boise, ID

Beaulieu J. June 2014. Estimating how contemporary taxa will evolve in the future, to understand how island communities were assembled in the past. Evolution, Raleigh, NC

Beaulieu J. October 2013. Exploring the evolution of a very old and widespread angiosperm clade. 60th Systematics Symposium, St. Louis, MO

Beaulieu J. June 2013. Identifying hidden rate changes in the evolution of a binary morphological characte.r. Evolution, Snowbird, UT

Software/Data while at NIMBioS

Tank DC, Eastman JM, Beaulieu JM, Cornwell WK, Stevens PF, Zanne AE. 2013. Taxonomic lookup table containing clade-level mappings for 15.363 genera of Spermatophyta. Data from: Three keys to the radiation of angiosperms into freezing environments. Nature. Dryad Digital. [Online]

Tank DC, Eastman JM, Beaulieu JM, Smith SA. 2013. Phylogenetic resources. Data from: Three keys to the radiation of angiosperms into freezing environments. Nature. Dryad Digital. [Online]

Invited Seminars

  • 2014 Department of OEB and HUH, Harvard University
  • 2014 Department of OEB and HUH, Harvard University
  • 2013 Department of EEOB, Iowa State University
  • 2012 Department of Botany, Field Museum of Natural History in Chicago, IL
  • 2012 Department of Ecology and Evolutionary Biology, Yale University

Collaborations

  • Collaboration with Drs. Brian O'Meara, Peter Crane, and Michael Donoghue on a paper that was prepared for submission to Systematic Biology dealing with the inherent biases of molecular dating analyses in regards to the age of flowering plants (angiosperms).
  • Collaboration with Dr. Brian O'Meara on two papers currently in the writing stage.
  • NESCent Working Group (Tempo and Mode of Plant Trait Evolution: Synthesizing Data from Extant and Extinct Taxa; organized by Drs. Amy Zanne, Will Cornwell, and Stephen Smith). Involvement led to a senior authored Nature paper.

Education, Outreach and Training

  • HOFF group lab meetings (joint lab meeting of Drs. Brian O'Meara and James Fordyce, as well as Drs. Darrin Hulsey and Ben Fitzpatrick).
  • Instructor for a Graduate CORE course on phylogenetics.
  • Co-led graduate-level discussion course (EEB 602) with NIMBioS postdoc Nick Matzke centered on current topics in phylogenetics (EEB 602).
  • Served as informal mentor for several students in EEB, including fourth-year student Jessica Welch (bat phylogenetics and deriving phylogenetic measures of conservation concern); third-year student Katie Massana (models of biogeographic range evolution); and second-year student Rachel Wooliver (Eucalyptus phylogenetics).
  • Participated in the NIMBioS Postdoc Career Development Seminar Series and attended NIMBioS seminars.
  • Interacted with several NIMBioS postdoctoral fellows, going over drafts of manuscripts, providing feedback on job applications and research statements

Data and Software while at NIMBioS

Zanne AE, Tank DC, Cornwell WK, Eastman JM, Smith SA, FitzJohn RG, McGlinn DJ, O'Meara BC, Moles AT, Reich PB, Royer DL, Soltis DE, Stevens PF, Westoby M, Wright IJ, Aarssen L, Bertin RI, Calaminus A, Govaerts R, Hemmings F, Leishman MR, Oleksyn J, Soltis PS, Swenson NG, Warman L, Beaulieu JM. 22 December 2013. Tree, data, and source code: Three keys to the radiation of angiosperms into freezing environments. [Online download] and [Interactive tree]

Media Coverage

Plant evolution study shows how some plants prevent freezing. Guardian Express.

Largest evolutionary tree of flowering plants mapped. Business Standard.

These three coping mechanisms help deal with cold weather. International Science Times.

Study finds how flowering plants cope with the cold. Nature World News.


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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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