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John E. McCormack

Bio: John E. McCormack is an academic researcher from Occidental College. The author has contributed to research in topics: Population & Coalescent theory. The author has an hindex of 30, co-authored 86 publications receiving 7065 citations. Previous affiliations of John E. McCormack include University of Arizona & University of Michigan.


Papers
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Journal ArticleDOI
Erich D. Jarvis1, Siavash Mirarab2, Andre J. Aberer3, Bo Li4, Bo Li5, Bo Li6, Peter Houde7, Cai Li6, Cai Li5, Simon Y. W. Ho8, Brant C. Faircloth9, Benoit Nabholz, Jason T. Howard1, Alexander Suh10, Claudia C. Weber10, Rute R. da Fonseca11, Jianwen Li, Fang Zhang Zhang, Hui Li, Long Zhou, Nitish Narula7, Nitish Narula12, Liang Liu13, Ganesh Ganapathy1, Bastien Boussau, Shamsuzzoha Bayzid2, Volodymyr Zavidovych1, Sankar Subramanian14, Toni Gabaldón15, Salvador Capella-Gutierrez, Jaime Huerta-Cepas, Bhanu Rekepalli16, Bhanu Rekepalli17, Kasper Munch18, Mikkel H. Schierup18, Bent E. K. Lindow11, Wesley C. Warren19, David A. Ray, Richard E. Green20, Michael William Bruford21, Xiangjiang Zhan21, Xiangjiang Zhan22, Andrew Dixon, Shengbin Li4, Ning Li23, Yinhua Huang23, Elizabeth P. Derryberry24, Elizabeth P. Derryberry25, Mads F. Bertelsen26, Frederick H. Sheldon25, Robb T. Brumfield25, Claudio V. Mello27, Claudio V. Mello28, Peter V. Lovell28, Morgan Wirthlin28, Maria Paula Cruz Schneider27, Francisco Prosdocimi27, José Alfredo Samaniego11, Amhed Missael Vargas Velazquez11, Alonzo Alfaro-Núñez11, Paula F. Campos11, Bent O. Petersen29, Thomas Sicheritz-Pontén29, An Pas, Thomas L. Bailey, R. Paul Scofield30, Michael Bunce31, David M. Lambert14, Qi Zhou, Polina L. Perelman32, Amy C. Driskell33, Beth Shapiro20, Zijun Xiong, Yongli Zeng, Shiping Liu, Zhenyu Li, Binghang Liu, Kui Wu, Jin Xiao, Xiong Yinqi, Quiemei Zheng, Yong Zhang, Huanming Yang, Jian Wang, Linnéa Smeds10, Frank E. Rheindt34, Michael J. Braun35, Jon Fjeldså11, Ludovic Orlando11, F. Keith Barker5, Knud A. Jønsson5, Warren E. Johnson33, Klaus-Peter Koepfli33, Stephen J. O'Brien36, David Haussler, Oliver A. Ryder, Carsten Rahbek5, Eske Willerslev11, Gary R. Graves33, Gary R. Graves5, Travis C. Glenn13, John E. McCormack37, Dave Burt38, Hans Ellegren10, Per Alström, Scott V. Edwards39, Alexandros Stamatakis3, David P. Mindell40, Joel Cracraft5, Edward L. Braun41, Tandy Warnow2, Tandy Warnow42, Wang Jun, M. Thomas P. Gilbert31, M. Thomas P. Gilbert5, Guojie Zhang6, Guojie Zhang11 
12 Dec 2014-Science
TL;DR: A genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves recovered a highly resolved tree that confirms previously controversial sister or close relationships and identifies the first divergence in Neoaves, two groups the authors named Passerea and Columbea.
Abstract: To better determine the history of modern birds, we performed a genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves using phylogenomic methods created to handle genome-scale data. We recovered a highly resolved tree that confirms previously controversial sister or close relationships. We identified the first divergence in Neoaves, two groups we named Passerea and Columbea, representing independent lineages of diverse and convergently evolved land and water bird species. Among Passerea, we infer the common ancestor of core landbirds to have been an apex predator and confirm independent gains of vocal learning. Among Columbea, we identify pigeons and flamingoes as belonging to sister clades. Even with whole genomes, some of the earliest branches in Neoaves proved challenging to resolve, which was best explained by massive protein-coding sequence convergence and high levels of incomplete lineage sorting that occurred during a rapid radiation after the Cretaceous-Paleogene mass extinction event about 66 million years ago.

1,624 citations

Journal ArticleDOI
TL;DR: A new class of molecular marker, anchored by ultraconserved genomic elements (UCEs), that universally enable target enrichment and sequencing of thousands of orthologous loci across species separated by hundreds of millions of years of evolution is introduced.
Abstract: Although massively parallel sequencing has facilitated large-scale DNA sequencing, comparisons among distantly related species rely upon small portions of the genome that are easily aligned. Methods are needed to efficiently obtain comparable DNA fragments prior to massively parallel sequencing, particularly for biologists working with non- model organisms. We introduce a new class of molecular marker, anchored by ultraconserved genomic elements (UCEs), that universally enable target enrichment and sequencing of thousands of orthologous loci across species separated by hundreds of millions of years of evolution. Our analyses here focus on use of UCE markers in Amniota because UCEs and phylogenetic relationships are well-known in some amniotes. We perform an in silico experiment to demonstrate that sequence flanking 2030 UCEs contains information sufficient to enable unambiguous recovery of the established primate phylogeny. We extend this experiment by performing an in vitro enrichment of 2386 UCE-anchored loci from nine, non- model avian species. We then use alignments of 854 of these loci to unambiguously recover the established evolutionary relationships within and among three ancient bird lineages. Because many organismal lineages have UCEs, this type of genetic marker and the analytical framework we outline can be applied across the tree of life, potentially reshaping our understanding of phylogeny at many taxonomic levels. (Flanking sequence; genetic markers; phylogenomics; sequence capture; target enrichment; ultraconserved elements.)

979 citations

Journal ArticleDOI
TL;DR: In this article, the authors outline some of the major obstacles specific to the application of NGS to phylogeography and phylogenetics, including the focus on non-model organisms, the necessity of obtaining orthologous loci in a cost-effective manner, and the predominate use of gene trees in these fields.

586 citations

Journal ArticleDOI
20 Nov 2014-Nature
TL;DR: It is shown that spatial and temporal patterns of genetic differentiation in Neotropical birds are highly discordant across lineages and are not reconcilable with a model linking speciation solely to landscape change, and the strongest predictors of speciation are the amount of time a lineage has persisted in the landscape and the ability of birds to move through the landscape matrix.
Abstract: Since the recognition that allopatric speciation can be induced by large-scale reconfigurations of the landscape that isolate formerly continuous populations, such as the separation of continents by plate tectonics, the uplift of mountains or the formation of large rivers, landscape change has been viewed as a primary driver of biological diversification. This process is referred to in biogeography as vicariance. In the most species-rich region of the world, the Neotropics, the sundering of populations associated with the Andean uplift is ascribed this principal role in speciation. An alternative model posits that rather than being directly linked to landscape change, allopatric speciation is initiated to a greater extent by dispersal events, with the principal drivers of speciation being organism-specific abilities to persist and disperse in the landscape. Landscape change is not a necessity for speciation in this model. Here we show that spatial and temporal patterns of genetic differentiation in Neotropical birds are highly discordant across lineages and are not reconcilable with a model linking speciation solely to landscape change. Instead, the strongest predictors of speciation are the amount of time a lineage has persisted in the landscape and the ability of birds to move through the landscape matrix. These results, augmented by the observation that most species-level diversity originated after episodes of major Andean uplift in the Neogene period, suggest that dispersal and differentiation on a matrix previously shaped by large-scale landscape events was a major driver of avian speciation in lowland Neotropical rainforests.

457 citations

Journal ArticleDOI
TL;DR: This study outlines a phylogenomic approach using a novel class of phylogenetic markers derived from ultraconserved elements and flanking DNA, and shows that this class of marker is useful for recovering deep-level phylogeny in placental mammals.
Abstract: Phylogenomics offers the potential to fully resolve the Tree of Life, but increasing genomic coverage also reveals conflicting evolutionary histories among genes, demanding new analytical strategies for elucidating a single history of life. Here, we outline a phylogenomic approach using a novel class of phylogenetic markers derived from ultraconserved elements and flanking DNA. Using species-tree analysis that accounts for discord among hundreds of independent loci, we show that this class of marker is useful for recovering deep-level phylogeny in placental mammals. In broad outline, our phylogeny agrees with recent phylogenomic studies of mammals, including several formerly controversial relationships. Our results also inform two outstanding questions in placental mammal phylogeny involving rapid speciation, where species-tree methods are particularly needed. Contrary to most phylogenomic studies, our study supports a first-diverging placental mammal lineage that includes elephants and tenrecs (Afrotheria). The level of conflict among gene histories is consistent with this basal divergence occurring in or near a phylogenetic ‘‘anomaly zone’’ where a failure to account for coalescent stochasticity will mislead phylogenetic inference. Addressing a long-standing phylogenetic mystery, we find some support from a high genomic coverage data set for a traditional placement of bats (Chiroptera) sister to a clade containing Perissodactyla, Cetartiodactyla, and Carnivora, and not nested within the latter clade, as has been suggested recently, although other results were conflicting. One of the most remarkable findings of our study is that ultraconserved elements and their flanking DNA are a rich source of phylogenetic information with strong potential for application across Amniotes. [Supplemental material is available for this article.]

368 citations


Cited by
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Journal ArticleDOI
TL;DR: The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.
Abstract: Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses. This package includes an enhanced graphical user interface program called Bayesian Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait evolution that were previously available to developers only. The package also provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU lesser general public license and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk

9,055 citations

01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.

5,249 citations

Journal ArticleDOI
TL;DR: The approach to utilizing available RNA-Seq and other data types in the authors' manual curation process for vertebrate, plant, and other species is summarized, and a new direction for prokaryotic genomes and protein name management is described.
Abstract: The RefSeq project at the National Center for Biotechnology Information (NCBI) maintains and curates a publicly available database of annotated genomic, transcript, and protein sequence records (http://www.ncbi.nlm.nih.gov/refseq/). The RefSeq project leverages the data submitted to the International Nucleotide Sequence Database Collaboration (INSDC) against a combination of computation, manual curation, and collaboration to produce a standard set of stable, non-redundant reference sequences. The RefSeq project augments these reference sequences with current knowledge including publications, functional features and informative nomenclature. The database currently represents sequences from more than 55,000 organisms (>4800 viruses, >40,000 prokaryotes and >10,000 eukaryotes; RefSeq release 71), ranging from a single record to complete genomes. This paper summarizes the current status of the viral, prokaryotic, and eukaryotic branches of the RefSeq project, reports on improvements to data access and details efforts to further expand the taxonomic representation of the collection. We also highlight diverse functional curation initiatives that support multiple uses of RefSeq data including taxonomic validation, genome annotation, comparative genomics, and clinical testing. We summarize our approach to utilizing available RNA-Seq and other data types in our manual curation process for vertebrate, plant, and other species, and describe a new direction for prokaryotic genomes and protein name management.

4,104 citations

Journal ArticleDOI
TL;DR: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses that includes the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, and new output formats to facilitate interoperability with downstream software.
Abstract: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses. PartitionFinder 2 is substantially faster and more efficient than version 1, and incorporates many new methods and features. These include the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, new output formats to facilitate interoperability with downstream software, and many new models of molecular evolution. PartitionFinder 2 is freely available under an open source license and works on Windows, OSX, and Linux operating systems. It can be downloaded from www.robertlanfear.com/partitionfinder. The source code is available at https://github.com/brettc/partitionfinder.

3,445 citations

Journal ArticleDOI
TL;DR: The DNA Sequence Polymorphism (DnaSP) software as mentioned in this paper is a popular tool for performing exhaustive population genetic analyses on multiple sequence alignments, such as single and multi-locus coalescent simulations under a wide range of demographic scenarios.
Abstract: We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.

3,277 citations