Morgan Wirthlin

ORCID: 0000-0001-7967-7070
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About
Contact & Profiles
Research Areas
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Genomics and Chromatin Dynamics
  • Animal Vocal Communication and Behavior
  • Animal Behavior and Reproduction
  • Chromosomal and Genetic Variations
  • Marine animal studies overview
  • Genetic diversity and population structure
  • Single-cell and spatial transcriptomics
  • Epigenetics and DNA Methylation
  • Bat Biology and Ecology Studies
  • CRISPR and Genetic Engineering
  • Evolution and Paleontology Studies
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic Associations and Epidemiology
  • Receptor Mechanisms and Signaling
  • RNA Research and Splicing
  • Neuroscience and Neural Engineering
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Congenital heart defects research
  • Plant and animal studies
  • Neural dynamics and brain function
  • Virus-based gene therapy research
  • Neurological diseases and metabolism
  • Pluripotent Stem Cells Research

Carnegie Mellon University
2018-2025

Allen Institute
2022-2024

Allen Institute for Brain Science
2022-2024

University of Pittsburgh
2022-2023

Neuroscience Institute
2020-2023

Howard Hughes Medical Institute
2023

University of California, Santa Cruz
2023

University of California, Riverside
2023

University of Massachusetts Chan Medical School
2023

Science for Life Laboratory
2023

Erich D. Jarvis Siavash Mirarab Andre J. Aberer Bo Li Peter Houde and 95 more Cai Li Simon Y. W. Ho Brant C. Faircloth Benoît Nabholz Jason T. Howard Alexander Suh Claudia Weber Rute R. da Fonseca Jianwen Li Fang Zhang Hui Li Long Zhou Nitish Narula Liang Liu Ganesh Ganapathy Bastien Boussau Md. Shamsuzzoha Bayzid Volodymyr Zavidovych Sankar Subramanian Toni Gabaldón Salvador Capella-Gutiérrez Jaime Huerta‐Cepas Bhanu Rekepalli Kasper Munch Mikkel Heide Schierup Bent Erik Kramer Lindow Wesley C. Warren David A. Ray Richard E. Green Michael W. Bruford Xiangjiang Zhan Andrew Dixon Shengbin Li Ning Li Yinhua Huang Elizabeth P. Derryberry Mads F. Bertelsen Frederick H. Sheldon Robb T. Brumfield Claudio V. Mello Peter V. Lovell Morgan Wirthlin Maria Paula Cruz Schneider Francisco Prosdocimi José Alfredo Samaniego Castruita Amhed Missael Vargas Velazquez Alonzo Alfaro‐Núñez Paula F. Campos Bent Petersen Thomas Sicheritz‐Pontén An Pas Tom Bailey R. Paul Scofield Michael Bunce David M. Lambert Qi Zhou Polina L. Perelman Amy C. Driskell Beth Shapiro Zijun Xiong Yongli Zeng Shiping Liu Zhenyu Li Binghang Liu Kui Wu Jin Xiao Xiong Yinqi Qiuemei Zheng Yong Zhang Huanming Yang Jian Wang Linnéa Smeds Frank E. Rheindt Michael J. Braun Jon Fjeldså Ludovic Orlando F. Keith Barker Knud A. Jønsson Warren E. Johnson Klaus‐Peter Koepfli Stephen J. O’Brien David Haussler Oliver A. Ryder Carsten Rahbek Eske Willerslev Gary R. Graves Travis C. Glenn John E. McCormack David W. Burt Hans Ellegren Per Alström Scott V. Edwards Alexandros Stamatakis David P. Mindell Joël Cracraft

To better determine the history of modern birds, we performed a genome-scale phylogenetic analysis 48 species representing all orders Neoaves using phylogenomic methods created to handle data. We recovered highly resolved tree that confirms previously controversial sister or close relationships. identified first divergence in Neoaves, two groups named Passerea and Columbea, independent lineages diverse convergently evolved land water bird species. Among Passerea, infer common ancestor core...

10.1126/science.1253451 article EN Science 2014-12-11

Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential song speech not found most other species. Comparisons of transcriptomes song-learning relative to nonlearners identified convergent gene expression specializations specific regions avian learners humans. The strongest shared profiles relate bird motor striatal nuclei, respectively, with human laryngeal cortex parts the striatum control production learning. Most...

10.1126/science.1256846 article EN Science 2014-12-11

Abstract The importance of the Gallus gallus (chicken) as a model organism and agricultural animal merits continuation sequence assembly improvement efforts. We present new version chicken genome (Gallus_gallus-5.0; GCA_000002315.3), built from combined long single molecule sequencing technology, finished BACs, improved physical maps. In overall assembled bases, we see gain 183 Mb, including 16.4 Mb in placed chromosomes with corresponding percentage intact repeat elements characterized. Of...

10.1534/g3.116.035923 article EN cc-by G3 Genes Genomes Genetics 2017-01-01
Matthew J. Christmas Irene M. Kaplow Diane P. Genereux Michael X. Dong Graham M. Hughes and 95 more Xue Li Patrick F. Sullivan Allyson G. Hindle Gregory Andrews Joel Armstrong Matteo Bianchi Ana M. Breit Mark Diekhans Cornelia Fanter Nicole M. Foley Daniel B. Goodman Linda Goodman Kathleen C. Keough Bogdan Kirilenko Amanda Kowalczyk Colleen Lawless Abigail Lind Jennifer R. S. Meadows Lucas R. Moreira Ruby Redlich Louise Ryan Ross Swofford Alejandro Valenzuela Franziska Wagner Ola Wallerman Ashley R. Brown Joana Damas Kaili Fan John Gatesy Jenna Grimshaw Jeremy Johnson Sergey V. Kozyrev Alyssa J. Lawler Voichita D. Marinescu Kathleen M. Morrill Austin Osmanski Nicole S. Paulat BaDoi N. Phan Steven K. Reilly Daniel E. Schäffer Cynthia Steiner Megan A. Supple Aryn P. Wilder Morgan Wirthlin James R. Xue Susan J. Birren Steven Gazal Robert Hubley Klaus‐Peter Koepfli Tomás Marquès‐Bonet Wynn K. Meyer Martin Nweeia Pardis C. Sabeti Beth Shapiro Arian F. A. Smit Mark S. Springer Emma C. Teeling Zhiping Weng Michael Hiller Danielle L. Levesque Harris A. Lewin William J. Murphy Arcadi Navarro Benedict Paten Katherine S. Pollard David A. Ray Irina Ruf Oliver A. Ryder Andreas R. Pfenning Kerstin Lindblad‐Toh Elinor K. Karlsson Gregory Andrews Joel Armstrong Matteo Bianchi Susan J. Birren Kevin R. Bredemeyer Ana M. Breit Matthew J. Christmas Hiram Clawson Joana Damas Federica Di Palma Mark Diekhans Michael X. Dong Eduardo Eizirik Kaili Fan Cornelia Fanter Nicole M. Foley Karin Forsberg‐Nilsson Carlos J. Garcia John Gatesy Steven Gazal Diane P. Genereux Linda Goodman Jenna Grimshaw Michaela K. Halsey

Zoonomia is the largest comparative genomics resource for mammals produced to date. By aligning genomes 240 species, we identify bases that, when mutated, are likely affect fitness and alter disease risk. At least 332 million (~10.7%) in human genome unusually conserved across species (evolutionarily constrained) relative neutrally evolving repeats, 4552 ultraconserved elements nearly perfectly conserved. Of 101 significantly constrained single bases, 80% outside protein-coding exons half...

10.1126/science.abn3943 article EN Science 2023-04-27
Irene M. Kaplow Alyssa J. Lawler Daniel E. Schäffer Chaitanya Srinivasan Heather H. Sestili and 95 more Morgan Wirthlin BaDoi N. Phan Kavya Prasad Ashley R. Brown Xiaomeng Zhang Kathleen Foley Diane P. Genereux Elinor K. Karlsson Kerstin Lindblad‐Toh Wynn K. Meyer Andreas R. Pfenning Gregory Andrews Joel Armstrong Matteo Bianchi Bruce W. Birren Kevin R. Bredemeyer Ana M. Breit Matthew J. Christmas Hiram Clawson Joana Damas Federica Di Palma Mark Diekhans Michael X. Dong Eduardo Eizirik Kaili Fan Cornelia Fanter Nicole M. Foley Karin Forsberg‐Nilsson Carlos J. Garcia John Gatesy Steven Gazal Diane P. Genereux Linda Goodman Jenna Grimshaw Michaela K. Halsey Andrew J. Harris Glenn Hickey Michael Hiller Allyson G. Hindle Robert Hubley Graham M. Hughes Jeremy Johnson David Juan Irene M. Kaplow Elinor K. Karlsson Kathleen C. Keough Bogdan Kirilenko Klaus‐Peter Koepfli Jennifer M. Korstian Amanda Kowalczyk Sergey V. Kozyrev Alyssa J. Lawler Colleen Lawless Thomas Lehmann Danielle L. Levesque Harris A. Lewin Xue Li Abigail Lind Kerstin Lindblad‐Toh Ava Mackay-Smith Voichita D. Marinescu Tomás Marquès‐Bonet Victor C. Mason Jennifer R. S. Meadows Wynn K. Meyer Jill E. Moore Lucas R. Moreira Diana D. Moreno-Santillán Kathleen M. Morrill Gerard Muntané William J. Murphy Arcadi Navarro Martin Nweeia Sylvia Ortmann Austin Osmanski Benedict Paten Nicole S. Paulat Andreas R. Pfenning BaDoi N. Phan Katherine S. Pollard Henry Pratt David A. Ray Steven K. Reilly Jeb Rosen Irina Ruf Louise Ryan Oliver A. Ryder Pardis C. Sabeti Daniel E. Schäffer Aitor Serres Beth Shapiro Arian F. A. Smit Mark S. Springer Chaitanya Srinivasan Cynthia Steiner

Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations enhancers and phenotypes is challenging because enhancer activity can be tissue-dependent functionally conserved despite low sequence conservation. We developed Tissue-Aware Conservation Inference Toolkit (TACIT) associate candidate with species' using predictions from machine learning...

10.1126/science.abm7993 article EN cc-by-sa Science 2023-04-27

Abstract Background Birds are one of the most highly successful and diverse groups vertebrates, having evolved a number distinct characteristics, including feathers wings, sturdy lightweight skeleton unique respiratory urinary/excretion systems. However, genetic basis these traits is poorly understood. Results Using comparative genomics based on extensive searches 60 avian genomes, we have found that birds lack approximately 274 protein coding genes present in genomes vertebrate lineages for...

10.1186/s13059-014-0565-1 article EN cc-by Genome biology 2014-12-17
Morgan Wirthlin Tobias A. Schmid Julie E. Elie Xiaomeng Zhang Amanda Kowalczyk and 95 more Ruby Redlich Varvara A. Shvareva Ashley Rakuljic Maria B. Ji Ninad S. Bhat Irene M. Kaplow Daniel E. Schäffer Alyssa J. Lawler Andrew Z. Wang BaDoi N. Phan Siddharth Annaldasula Ashley R. Brown Tianyu Lu Byung Kook Lim Eiman Azim Nathan L. Clark Wynn K. Meyer Sergei L. Kosakovsky Pond Maria Chikina Michael M. Yartsev Andreas R. Pfenning Gregory Andrews Joel Armstrong Matteo Bianchi Bruce W. Birren Kevin R. Bredemeyer Ana M. Breit Matthew J. Christmas Hiram Clawson Joana Damas Federica Di Palma Mark Diekhans Michael X. Dong Eduardo Eizirik Kaili Fan Cornelia Fanter Nicole M. Foley Karin Forsberg‐Nilsson Carlos J. Garcia John Gatesy Steven Gazal Diane P. Genereux Linda Goodman Jenna Grimshaw Michaela K. Halsey Andrew J. Harris Glenn Hickey Michael Hiller Allyson G. Hindle Robert Hubley Graham M. Hughes Jeremy Johnson David Juan Irene M. Kaplow Elinor K. Karlsson Kathleen C. Keough Bogdan Kirilenko Klaus‐Peter Koepfli Jennifer M. Korstian Amanda Kowalczyk Sergey V. Kozyrev Alyssa J. Lawler Colleen Lawless Thomas Lehmann Danielle L. Levesque Harris A. Lewin Xue Li Abigail Lind Kerstin Lindblad‐Toh Ava Mackay-Smith Voichita D. Marinescu Tomás Marquès‐Bonet Victor C. Mason Jennifer R. S. Meadows Wynn K. Meyer Jill E. Moore Lucas R. Moreira Diana D. Moreno-Santillán Kathleen M. Morrill Gerard Muntané William J. Murphy Arcadi Navarro Martin Nweeia Sylvia Ortmann Austin Osmanski Benedict Paten Nicole S. Paulat Andreas R. Pfenning BaDoi N. Phan Katherine S. Pollard Henry Pratt David A. Ray Steven K. Reilly Jeb Rosen Irina Ruf

Vocal production learning ("vocal learning") is a convergently evolved trait in vertebrates. To identify brain genomic elements associated with mammalian vocal learning, we integrated genomic, anatomical, and neurophysiological data from the Egyptian fruit bat (

10.1126/science.abn3263 article EN Science 2024-02-29
Yoav Ben‐Simon Marcus Hooper Sujatha Narayan Tanya L. Daigle Deepanjali Dwivedi and 95 more Sharon W. Way Aaron Oster David Stafford John K. Mich Michael J. Taormina Refugio A. Martinez Ximena Opitz-Araya J. Roth Shona W. Allen Angela Ayala Trygve E. Bakken Tyler Barcelli Stuard Barta Jacqueline L. Bendrick Darren Bertagnolli Jessica Bowlus Gabriella Boyer Krissy Brouner Brittny Casian Tamara Casper Anish Bhaswanth Chakka Rushil Chakrabarty Rebecca K. Chance Sakshi Chavan Michael Clark Maxwell Departee Nicholas Donadio Nadezhda Dotson Tom Egdorf Mariano I. Gabitto Jazmin Garcia Amanda Gary Molly Gasperini Jessica Gloe Jeff Goldy Bryan B. Gore Lucas T. Graybuck Noah Greisman Françoise Haeseleer Carliana Halterman Olivia Helback Windy Ho Dirk Hockemeyer Cindy Huang Sydney Huff Avery C. Hunker Nelson Johansen Zoe Juneau Brian Kalmbach Madhav Kannan Shannon Khem Emily Kussick Rana Kutsal Rachael Larsen Changkyu Lee Angus Y. Lee Madison Leibly Garreck Lenz Elizabeth Liang Nicholas A. Lusk Jocelin Malone Rachel McCue Tyler Mollenkopf Elyse L. Morin Dakota Newman Lydia Ng Kiet Ngo Victoria Omstead Alana Oyama Trangthanh Pham Elliot Phillips Christina Alice Pom Lydia Potekhina Shea Ransford Dean F. Rette Christine Rimorin D. Rocha Augustin Ruiz Raymond Sanchez Adriana E. Sedeño-Cortés Josh Sevigny Nadiya V. Shapovalova Lyudmila Shulga Ana Rios Sigler La’Akea Siverts Saroja Somasundaram K.J. Stewart Eric R Szelenyi Michael Tieu Cameron Trader Alex Tran Cindy T. J. van Velthoven Miranda Walker Natalie Weed Morgan Wirthlin

The mammalian cortex is comprised of cells classified into types according to shared properties. Defining the contribution each cell type processes guided by essential for understanding its function in health and disease. We used transcriptomic epigenomic cortical taxonomies from mouse human define marker genes putative enhancers created a large toolkit transgenic lines enhancer AAVs selective targeting populations. report evaluation fifteen new driver lines, two reporter >800 different...

10.1101/2024.06.10.597244 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-06-10

Highlights•The blue-fronted Amazon, Amazona aestiva, and other parrots share unique novel genes•Convergent selection in long-lived birds suggests new lifespan-influencing genes•Parrot genomes genetic changes related to genes critical for brain function•Similar parrot human suggest convergent evolution of cognitionSummaryParrots are one the most distinct intriguing groups birds, with highly expanded brains [1], developed cognitive [2] vocal communication [3] skills, a long lifespan compared...

10.1016/j.cub.2018.10.050 article EN publisher-specific-oa Current Biology 2018-12-01

The arcopallium, a key avian forebrain region, receives inputs from numerous brain areas and is major source of descending sensory motor projections. While there evidence arcopallial subdivisions, the internal organization or arcopallium not well understood. also considered homologue mammalian deep cortical layers and/or amygdalar but one-to-one correspondences are controversial. Here we present molecular characterization in zebra finch, passerine songbird species model organism for vocal...

10.1002/cne.24688 article EN The Journal of Comparative Neurology 2019-03-28

An in-depth understanding of the genetics and evolution brain function behavior requires a detailed mapping gene expression in functional circuits across major vertebrate clades. Here we present Zebra finch Expression Brain Atlas (ZEBrA; www.zebrafinchatlas.org, RRID: SCR_012988), web-based resource that maps genes linked to broad range functions onto zebra finches. ZEBrA is first its kind atlas for bird species any sauropsid. ZEBrA's >3,200 high-resolution digital images situ hybridized...

10.1002/cne.24879 article EN The Journal of Comparative Neurology 2020-02-10

Evolutionary conservation is an invaluable tool for inferring functional significance in the genome, including regions that are crucial across many species and those have undergone convergent evolution. Computational methods to test sequence dominated by algorithms examine ability of one or more nucleotides align large evolutionary distances. While these nucleotide alignment-based approaches proven powerful protein-coding genes some non-coding elements, they fail capture enhancers, distal...

10.1186/s12864-022-08450-7 article EN cc-by BMC Genomics 2022-04-11

Recent discoveries of extreme cellular diversity in the brain warrant rapid development technologies to access specific cell populations within heterogeneous tissue. Available approaches for engineering-targeted new neuron subtypes are low yield, involving intensive transgenic strain or virus screening. Here, we present Specific Nuclear-Anchored Independent Labeling (SNAIL), an improved virus-based strategy labeling and nuclear isolation from SNAIL works by leveraging machine learning other...

10.7554/elife.69571 article EN cc-by eLife 2022-05-16

Introduction: Transcriptional regulation is an important process wherein non-protein coding enhancer sequences play a key role in determining cell type identity and phenotypic diversity. In neural tissue, these gene regulatory processes are crucial for coordinating plethora of interconnected regionally specialized types, ensuring their synchronized activity generating behavior. Recognizing the intricate interplay brain imperative, as mounting evidence links neurodevelopment neurological...

10.3389/fgene.2025.1533900 article EN cc-by Frontiers in Genetics 2025-04-09

Songbirds (oscine Passeriformes) are among the most diverse and successful vertebrate groups, comprising almost half of all known bird species. Identifying genomic innovations that might be associated with this success, as well characteristic songbird traits such vocal learning brain circuits underlie behavior, has proven difficult, in part due to small number avian genomes available until recently. Here we performed a comparative analysis 48 identify features unique songbirds, an initial...

10.1186/1471-2164-15-1082 article EN cc-by BMC Genomics 2014-12-01

Recent large genome-wide association studies have identified multiple confident risk loci linked to addiction-associated behavioral traits. Most genetic variants traits lie in noncoding regions of the genome, likely disrupting cis-regulatory element (CRE) function. CREs tend be highly cell type-specific and may contribute functional development neural circuits underlying addiction. Yet, a systematic approach for predicting impact on specific populations is lacking. To dissect types brain...

10.1523/jneurosci.2534-20.2021 article EN cc-by-nc-sa Journal of Neuroscience 2021-08-30

We present an enhancer AAV toolbox for accessing and perturbing striatal cell types circuits. Best-in-class vectors were curated major neuron populations including medium spiny neurons (MSNs), direct indirect pathway MSNs, as well Sst-Chodl, Pvalb-Pthlh, cholinergic interneurons. Specificity was evaluated by multiple modes of molecular validation, three different routes virus delivery, with diverse transgene cargos. Importantly, we provide detailed information necessary to achieve reliable...

10.1101/2024.09.27.615553 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-09-29

The ability to imitate the vocalizations of other organisms, a trait known as vocal learning, is shared by only few including humans, where it subserves acquisition speech and language, 3 groups birds. In songbirds, learning requires coordinated activity set specialized brain nuclei referred song control system. Recent efforts have revealed some genes that are expressed in these nuclei, however thorough characterization transcriptional specializations this system still missing. We conducted...

10.1186/s12864-018-4578-0 article EN cc-by BMC Genomics 2018-04-03

How the evolution of complex behavioral traits is associated with emergence novel brain pathways largely unknown. Songbirds, like humans, learn vocalizations via tutor imitation and possess a specialized circuitry to support this behavior. In comprehensive in situ hybridization effort, we show that zebra finch vocal robust nucleus arcopallium (RA) shares numerous markers (e.g. SNCA, PVALB) adjacent dorsal intermediate (AId), an avian analog mammalian deep cortical layers involvement motor...

10.1038/s41598-020-75773-4 article EN cc-by Scientific Reports 2020-10-30

Diverse traits have evolved through cis-regulatory changes in genome sequence that influence the magnitude, timing and cell type-specificity of gene expression. Advances high-throughput sequencing regulatory genomics led to identification elements individual species, but these genomic regions remain difficult align across taxonomic orders due their lack conservation relative protein coding genes. The groundwork for tracing evolution is provided by recent assembly hundreds genomes, generation...

10.1093/bioinformatics/btaa493 article EN Bioinformatics 2020-05-08

The memorization and production of song in songbirds share important parallels with the process speech acquisition humans. In songbirds, these processes are dependent on a group specialized telencephalic nuclei known as system: HVC (used proper name), RA (robust nucleus arcopallium), LMAN (lateral magnocellular nidopallium) striatal Area X. A recent study suggested that arcopallium Sayornis phoebe, non vocal learner suboscine species, contains some properties similar to those songbird RA,...

10.1590/s1415-475738320150010 article EN cc-by Genetics and Molecular Biology 2015-09-01

Abstract Vocal learning is a skilled motor behavior observed in several mammalian and avian species critical for human speech. While convergent gene expression patterns have highlighted similar primary striatal pathways vocal imitation songbirds humans, the extent of molecular circuit convergence remains unresolved. Here we profiled four principal song nuclei zebra finch (HVC, LMAN, RA, Area X) their surrounding brain regions using RNA-Seq compared them with specialized markers identified...

10.1101/2022.07.01.498177 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2022-07-02
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