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Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements.

Authors :
Wirthlin, Morgan
Wirthlin, Morgan
Schmid, Tobias
Elie, Julie
Zhang, Xiaomeng
Kowalczyk, Amanda
Redlich, Ruby
Shvareva, Varvara
Rakuljic, Ashley
Ji, Maria
Bhat, Ninad
Kaplow, Irene
Schäffer, Daniel
Lawler, Alyssa
Wang, Andrew
Phan, BaDoi
Annaldasula, Siddharth
Brown, Ashley
Lu, Tianyu
Lim, Byung
Azim, Eiman
Clark, Nathan
Meyer, Wynn
Pond, Sergei
Chikina, Maria
Yartsev, Michael
Pfenning, Andreas
Andrews, Gregory
Armstrong, Joel
Bianchi, Matteo
Birren, Bruce
Bredemeyer, Kevin
Breit, Ana
Christmas, Matthew
Clawson, Hiram
Damas, Joana
Di Palma, Federica
Diekhans, Mark
Dong, Michael
Eizirik, Eduardo
Fan, Kaili
Fanter, Cornelia
Foley, Nicole
Forsberg-Nilsson, Karin
Garcia, Carlos
Gatesy, John
Gazal, Steven
Genereux, Diane
Goodman, Linda
Grimshaw, Jenna
Halsey, Michaela
Harris, Andrew
Hickey, Glenn
Hiller, Michael
Hindle, Allyson
Hubley, Robert
Hughes, Graham
Johnson, Jeremy
Juan, David
Karlsson, Elinor
Keough, Kathleen
Kirilenko, Bogdan
Koepfli, Klaus-Peter
Korstian, Jennifer
Kozyrev, Sergey
Lawless, Colleen
Lehmann, Thomas
Levesque, Danielle
Lewin, Harris
Li, Xue
Lind, Abigail
Lindblad-Toh, Kerstin
Mackay-Smith, Ava
Marinescu, Voichita
Marques-Bonet, Tomas
Mason, Victor
Meadows, Jennifer
Moore, Jill
Moreira, Lucas
Moreno-Santillan, Diana
Morrill, Kathleen
Muntané, Gerard
Murphy, William
Navarro, Arcadi
Nweeia, Martin
Ortmann, Sylvia
Osmanski, Austin
Paten, Benedict
Paulat, Nicole
Pollard, Katherine
Pratt, Henry
Ray, David
Reilly, Steven
Rosen, Jeb
Ruf, Irina
Wirthlin, Morgan
Wirthlin, Morgan
Schmid, Tobias
Elie, Julie
Zhang, Xiaomeng
Kowalczyk, Amanda
Redlich, Ruby
Shvareva, Varvara
Rakuljic, Ashley
Ji, Maria
Bhat, Ninad
Kaplow, Irene
Schäffer, Daniel
Lawler, Alyssa
Wang, Andrew
Phan, BaDoi
Annaldasula, Siddharth
Brown, Ashley
Lu, Tianyu
Lim, Byung
Azim, Eiman
Clark, Nathan
Meyer, Wynn
Pond, Sergei
Chikina, Maria
Yartsev, Michael
Pfenning, Andreas
Andrews, Gregory
Armstrong, Joel
Bianchi, Matteo
Birren, Bruce
Bredemeyer, Kevin
Breit, Ana
Christmas, Matthew
Clawson, Hiram
Damas, Joana
Di Palma, Federica
Diekhans, Mark
Dong, Michael
Eizirik, Eduardo
Fan, Kaili
Fanter, Cornelia
Foley, Nicole
Forsberg-Nilsson, Karin
Garcia, Carlos
Gatesy, John
Gazal, Steven
Genereux, Diane
Goodman, Linda
Grimshaw, Jenna
Halsey, Michaela
Harris, Andrew
Hickey, Glenn
Hiller, Michael
Hindle, Allyson
Hubley, Robert
Hughes, Graham
Johnson, Jeremy
Juan, David
Karlsson, Elinor
Keough, Kathleen
Kirilenko, Bogdan
Koepfli, Klaus-Peter
Korstian, Jennifer
Kozyrev, Sergey
Lawless, Colleen
Lehmann, Thomas
Levesque, Danielle
Lewin, Harris
Li, Xue
Lind, Abigail
Lindblad-Toh, Kerstin
Mackay-Smith, Ava
Marinescu, Voichita
Marques-Bonet, Tomas
Mason, Victor
Meadows, Jennifer
Moore, Jill
Moreira, Lucas
Moreno-Santillan, Diana
Morrill, Kathleen
Muntané, Gerard
Murphy, William
Navarro, Arcadi
Nweeia, Martin
Ortmann, Sylvia
Osmanski, Austin
Paten, Benedict
Paulat, Nicole
Pollard, Katherine
Pratt, Henry
Ray, David
Reilly, Steven
Rosen, Jeb
Ruf, Irina
Source :
The Scientific monthly; vol 383, iss 6690
Publication Year :
2024

Abstract

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 (Rousettus aegyptiacus) with analyses of the genomes of 215 placental mammals. First, we identified a set of proteins evolving more slowly in vocal learners. Then, we discovered a vocal motor cortical region in the Egyptian fruit bat, an emergent vocal learner, and leveraged that knowledge to identify active cis-regulatory elements in the motor cortex of vocal learners. Machine learning methods applied to motor cortex open chromatin revealed 50 enhancers robustly associated with vocal learning whose activity tended to be lower in vocal learners. Our research implicates convergent losses of motor cortex regulatory elements in mammalian vocal learning evolution.

Details

Database :
OAIster
Journal :
The Scientific monthly; vol 383, iss 6690
Notes :
application/pdf, The Scientific monthly vol 383, iss 6690
Publication Type :
Electronic Resource
Accession number :
edsoai.on1452693508
Document Type :
Electronic Resource