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Alonzo Alfaro-Núñez

Bio: Alonzo Alfaro-Núñez is an academic researcher from Statens Serum Institut. The author has contributed to research in topics: Medicine & Phylogenetic tree. The author has an hindex of 11, co-authored 21 publications receiving 2567 citations. Previous affiliations of Alonzo Alfaro-Núñez include American Museum of Natural History & Escuela Superior Politecnica del Litoral.

Papers
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Journal ArticleDOI
Erich D. Jarvis1, Siavash Mirarab2, Andre J. Aberer3, Bo Li4, Bo Li5, Bo Li6, Peter Houde7, Cai Li4, 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 Zhan22, Xiangjiang Zhan21, Andrew Dixon, Shengbin Li6, Ning Li23, Yinhua Huang23, Elizabeth P. Derryberry24, Elizabeth P. Derryberry25, Mads F. Bertelsen26, Frederick H. Sheldon24, Robb T. Brumfield24, Claudio V. Mello27, Claudio V. Mello28, Peter V. Lovell27, Morgan Wirthlin27, Maria Paula Cruz Schneider28, Francisco Prosdocimi28, 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 Barker4, Knud A. Jønsson4, Warren E. Johnson33, Klaus-Peter Koepfli33, Stephen J. O'Brien36, David Haussler, Oliver A. Ryder, Carsten Rahbek4, Eske Willerslev11, Gary R. Graves4, Gary R. Graves33, Travis C. Glenn13, John E. McCormack37, Dave Burt38, Hans Ellegren10, Per Alström, Scott V. Edwards39, Alexandros Stamatakis3, David P. Mindell40, Joel Cracraft4, Edward L. Braun41, Tandy Warnow42, Tandy Warnow2, Wang Jun, M. Thomas P. Gilbert4, M. Thomas P. Gilbert31, Guojie Zhang11, Guojie Zhang5 
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
Guojie Zhang1, Guojie Zhang2, Cai Li1, Qiye Li1, Bo Li1, Denis M. Larkin3, Chul Hee Lee4, Jay F. Storz5, Agostinho Antunes6, Matthew J. Greenwold7, Robert W. Meredith8, Anders Ödeen9, Jie Cui10, Qi Zhou11, Luohao Xu1, Hailin Pan1, Zongji Wang12, Lijun Jin1, Pei Zhang1, Haofu Hu1, Wei Yang1, Jiang Hu1, Jin Xiao1, Zhikai Yang1, Yang Liu1, Qiaolin Xie1, Hao Yu1, Jinmin Lian1, Ping Wen1, Fang Zhang1, Hui Li1, Yongli Zeng1, Zijun Xiong1, Shiping Liu12, Long Zhou1, Zhiyong Huang1, Na An1, Jie Wang13, Qiumei Zheng1, Yingqi Xiong1, Guangbiao Wang1, Bo Wang1, Jingjing Wang1, Yu Fan14, Rute R. da Fonseca2, Alonzo Alfaro-Núñez2, Mikkel Schubert2, Ludovic Orlando2, Tobias Mourier2, Jason T. Howard15, Ganeshkumar Ganapathy15, Andreas R. Pfenning15, Osceola Whitney15, Miriam V. Rivas15, Erina Hara15, Julia Smith15, Marta Farré3, Jitendra Narayan16, Gancho T. Slavov16, Michael N Romanov17, Rui Borges6, João Paulo Machado6, Imran Khan6, Mark S. Springer18, John Gatesy18, Federico G. Hoffmann19, Juan C. Opazo20, Olle Håstad21, Roger H. Sawyer7, Heebal Kim4, Kyu-Won Kim4, Hyeon Jeong Kim4, Seoae Cho4, Ning Li22, Yinhua Huang22, Michael William Bruford23, Xiangjiang Zhan13, Andrew Dixon, Mads F. Bertelsen24, Elizabeth P. Derryberry25, Wesley C. Warren26, Richard K. Wilson26, Shengbin Li27, David A. Ray19, Richard E. Green28, Stephen J. O'Brien29, Darren K. Griffin17, Warren E. Johnson30, David Haussler28, Oliver A. Ryder, Eske Willerslev2, Gary R. Graves31, Per Alström21, Jon Fjeldså32, David P. Mindell33, Scott V. Edwards34, Edward L. Braun35, Carsten Rahbek32, David W. Burt36, Peter Houde37, Yong Zhang1, Huanming Yang38, Jian Wang1, Erich D. Jarvis15, M. Thomas P. Gilbert39, M. Thomas P. Gilbert2, Jun Wang 
12 Dec 2014-Science
TL;DR: This work explored bird macroevolution using full genomes from 48 avian species representing all major extant clades to reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.
Abstract: Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.

872 citations

Journal ArticleDOI
TL;DR: Full-length virus genome sequencing revealed novel virus variants in mink that subsequently appeared within the local human community.
Abstract: Severe acute respiratory syndrome coronavirus 2 has caused a pandemic in humans. Farmed mink (Neovison vison) are also susceptible. In Denmark, this virus has spread rapidly among farmed mink, resulting in some respiratory disease. Full-length virus genome sequencing revealed novel virus variants in mink. These variants subsequently appeared within the local human community.

197 citations

Journal ArticleDOI
TL;DR: Complete mitogenomes for all sea-turtle species are sequenced, showing strong support and resolution for phylogenetic relationships among all sea turtles, and phylogeographic patterns within globally-distributed species are revealed.

85 citations

Journal ArticleDOI
TL;DR: The Avian Phylogenomics Project is the largest vertebrate phylogenomics project to date and the sequence, alignment, and tree data are expected to accelerate analyses in phylogenomics and other related areas.
Abstract: Background: Determining the evolutionary relationships among the major lineages of extant birds has been one of the biggest challenges in systematic biology. To address this challenge, we assembled or collected the genomes of 48 avian species spanning most orders of birds, including all Neognathae and two of the five Palaeognathae orders. We used these genomes to construct a genome-scale avian phylogenetic tree and perform comparative genomic analyses. Findings: Here we present the datasets associated with the phylogenomic analyses, which include sequence alignment files consisting of nucleotides, amino acids, indels, and transposable elements, as well as tree files containing gene trees and species trees. Inferring an accurate phylogeny required generating: 1) A well annotated data set across species based on genome synteny; 2) Alignments with unaligned or incorrectly overaligned sequences filtered out; and 3) Diverse data sets, including genes and their inferred trees, indels, and transposable elements. Our total evidence nucleotide tree (TENT) data set (consisting of exons, introns, and UCEs) gave what we consider our most reliable species tree when using the concatenation-based ExaML algorithm or when using statistical binning with the coalescence-based MP-EST algorithm (which we refer to as MP-EST*). Other data sets, such as the coding sequence of some exons, revealed other properties of genome evolution, namely convergence. Conclusions: The Avian Phylogenomics Project is the largest vertebrate phylogenomics project to date that we are aware of. The sequence, alignment, and tree data are expected to accelerate analyses in phylogenomics and other related areas.

84 citations


Cited by
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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 Article
TL;DR: In this paper, a test based on two conserved CHD (chromo-helicase-DNA-binding) genes that are located on the avian sex chromosomes of all birds, with the possible exception of the ratites (ostriches, etc.).

2,554 citations

Journal ArticleDOI
Erich D. Jarvis1, Siavash Mirarab2, Andre J. Aberer3, Bo Li4, Bo Li5, Bo Li6, Peter Houde7, Cai Li4, Cai Li6, 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 Li5, Ning Li23, Yinhua Huang23, Elizabeth P. Derryberry24, Elizabeth P. Derryberry25, Mads F. Bertelsen26, Frederick H. Sheldon24, Robb T. Brumfield24, 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 Barker4, Knud A. Jønsson4, Warren E. Johnson33, Klaus-Peter Koepfli33, Stephen J. O'Brien36, David Haussler, Oliver A. Ryder, Carsten Rahbek4, Eske Willerslev11, Gary R. Graves33, Gary R. Graves4, Travis C. Glenn13, John E. McCormack37, Dave Burt38, Hans Ellegren10, Per Alström, Scott V. Edwards39, Alexandros Stamatakis3, David P. Mindell40, Joel Cracraft4, Edward L. Braun41, Tandy Warnow2, Tandy Warnow42, Wang Jun, M. Thomas P. Gilbert31, M. Thomas P. Gilbert4, 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: This work presents BUSCO v3 with example analyses that highlight the wide‐ranging utility of BUSCO assessments, which extend beyond quality control of genomics data sets to applications in comparative genomics analyses, gene predictor training, metagenomics, and phylogenomics.
Abstract: Genomics promises comprehensive surveying of genomes and metagenomes, but rapidly changing technologies and expanding data volumes make evaluation of completeness a challenging task. Technical sequencing quality metrics can be complemented by quantifying completeness of genomic data sets in terms of the expected gene content of Benchmarking Universal Single-Copy Orthologs (BUSCO, http://busco.ezlab.org). The latest software release implements a complete refactoring of the code to make it more flexible and extendable to facilitate high-throughput assessments. The original six lineage assessment data sets have been updated with improved species sampling, 34 new subsets have been built for vertebrates, arthropods, fungi, and prokaryotes that greatly enhance resolution, and data sets are now also available for nematodes, protists, and plants. Here, we present BUSCO v3 with example analyses that highlight the wide-ranging utility of BUSCO assessments, which extend beyond quality control of genomics data sets to applications in comparative genomics analyses, gene predictor training, metagenomics, and phylogenomics.

1,575 citations