1
|
Darbinian N, Hampe M, Martirosyan D, Bajwa A, Darbinyan A, Merabova N, Tatevosian G, Goetzl L, Amini S, Selzer ME. Fetal Brain-Derived Exosomal miRNAs from Maternal Blood: Potential Diagnostic Biomarkers for Fetal Alcohol Spectrum Disorders (FASDs). Int J Mol Sci 2024; 25:5826. [PMID: 38892014 PMCID: PMC11172088 DOI: 10.3390/ijms25115826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/20/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Fetal alcohol spectrum disorders (FASDs) are leading causes of neurodevelopmental disability but cannot be diagnosed early in utero. Because several microRNAs (miRNAs) are implicated in other neurological and neurodevelopmental disorders, the effects of EtOH exposure on the expression of these miRNAs and their target genes and pathways were assessed. In women who drank alcohol (EtOH) during pregnancy and non-drinking controls, matched individually for fetal sex and gestational age, the levels of miRNAs in fetal brain-derived exosomes (FB-Es) isolated from the mothers' serum correlated well with the contents of the corresponding fetal brain tissues obtained after voluntary pregnancy termination. In six EtOH-exposed cases and six matched controls, the levels of fetal brain and maternal serum miRNAs were quantified on the array by qRT-PCR. In FB-Es from 10 EtOH-exposed cases and 10 controls, selected miRNAs were quantified by ddPCR. Protein levels were quantified by ELISA. There were significant EtOH-associated reductions in the expression of several miRNAs, including miR-9 and its downstream neuronal targets BDNF, REST, Synapsin, and Sonic hedgehog. In 20 paired cases, reductions in FB-E miR-9 levels correlated strongly with reductions in fetal eye diameter, a prominent feature of FASDs. Thus, FB-E miR-9 levels might serve as a biomarker to predict FASDs in at-risk fetuses.
Collapse
Affiliation(s)
- Nune Darbinian
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
| | - Monica Hampe
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
| | - Diana Martirosyan
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
| | - Ahsun Bajwa
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
| | - Armine Darbinyan
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA;
| | - Nana Merabova
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
- Medical College of Wisconsin-Prevea Health, Green Bay, WI 54304, USA
| | - Gabriel Tatevosian
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
| | - Laura Goetzl
- Department of Obstetrics & Gynecology, University of Texas, Houston, TX 77030, USA;
| | - Shohreh Amini
- Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA;
| | - Michael E. Selzer
- Center for Neural Repair and Rehabilitation (Shriners Hospitals Pediatric Research Center), Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; (M.H.); (D.M.); (A.B.); (N.M.); (G.T.)
- Department of Neurology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA
| |
Collapse
|
2
|
Dayal S, Chaubey D, Joshi DC, Ranmale S, Pillai B. Noncoding RNAs: Emerging regulators of behavioral complexity. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1847. [PMID: 38702948 DOI: 10.1002/wrna.1847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 03/16/2024] [Accepted: 03/20/2024] [Indexed: 05/06/2024]
Abstract
The mammalian genome encodes thousands of non-coding RNAs (ncRNAs), ranging in size from about 20 nucleotides (microRNAs or miRNAs) to kilobases (long non-coding RNAs or lncRNAs). ncRNAs contribute to a layer of gene regulation that could explain the evolution of massive phenotypic complexity even as the number of protein-coding genes remains unaltered. We propose that low conservation, poor expression, and highly restricted spatiotemporal expression patterns-conventionally considered ncRNAs may affect behavior through direct, rapid, and often sustained regulation of gene expression at the transcriptional, post-transcriptional, or translational levels. Besides these direct roles, their effect during neurodevelopment may manifest as behavioral changes later in the organism's life, especially when exposed to environmental cues like stress and seasonal changes. The lncRNAs affect behavior through diverse mechanisms like sponging of miRNAs, recruitment of chromatin modifiers, and regulation of alternative splicing. We highlight the need for synthesis between rigorously designed behavioral paradigms in model organisms and the wide diversity of behaviors documented by ethologists through field studies on organisms exquisitely adapted to their environmental niche. Comparative genomics and the latest advancements in transcriptomics provide an unprecedented scope for merging field and lab studies on model and non-model organisms to shed light on the role of ncRNAs in driving the behavioral responses of individuals and groups. We touch upon the technical challenges and contentious issues that must be resolved to fully understand the role of ncRNAs in regulating complex behavioral traits. This article is categorized under: Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs.
Collapse
Affiliation(s)
- Sanovar Dayal
- CSIR-Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Divya Chaubey
- CSIR-Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Dheeraj Chandra Joshi
- CSIR-Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Samruddhi Ranmale
- CSIR-Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
| | - Beena Pillai
- CSIR-Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| |
Collapse
|
3
|
Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science 2024; 383:eabn3263. [PMID: 38422184 DOI: 10.1126/science.abn3263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
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.
Collapse
Affiliation(s)
- Morgan E Wirthlin
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Tobias A Schmid
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Julie E Elie
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Xiaomeng Zhang
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Amanda Kowalczyk
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Ruby Redlich
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Varvara A Shvareva
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Ashley Rakuljic
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Maria B Ji
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Ninad S Bhat
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Irene M Kaplow
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Daniel E Schäffer
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Alyssa J Lawler
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Andrew Z Wang
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - BaDoi N Phan
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Siddharth Annaldasula
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Ashley R Brown
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Tianyu Lu
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Byung Kook Lim
- Neurobiology section, Division of Biological Science, University of California, San Diego, La Jolla, CA 92093, USA
| | - Eiman Azim
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Nathan L Clark
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Wynn K Meyer
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | | | - Maria Chikina
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Michael M Yartsev
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Andreas R Pfenning
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Pilgeram NR, Baran NM, Bhise A, Davis MT, Iverson ENK, Kim E, Lee S, Rodriguez-Saltos CA, Maney DL. Oxytocin receptor antagonism during early vocal learning reduces song preference and imitation in zebra finches. Sci Rep 2023; 13:6627. [PMID: 37188684 DOI: 10.1038/s41598-023-33340-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
In species with vocal learning, acquiring species-typical vocalizations relies on early social orienting. In songbirds, for example, learning song requires dynamic social interactions with a "tutor" during an early sensitive period. Here, we hypothesized that the attentional and motivational processes that support song learning recruit the oxytocin system, which is well-understood to play a role in social orienting in other species. Juvenile male zebra finches naïve to song were each tutored by two unfamiliar adult males. Before exposure to one tutor, juveniles were injected subcutaneously with oxytocin receptor antagonist (OTA; ornithine vasotocin) and before exposure to the other, saline (control). Treatment with OTA reduced behaviors associated with approach and attention during tutoring sessions. Using a novel operant paradigm to measure preference while balancing exposure to the two tutor songs, we showed that the juveniles preferred to hear the song of the control tutor. Their adult songs more closely resembled the control tutor's song, and the magnitude of this difference was predicted by early preference for control over OTA song. Overall, oxytocin antagonism during exposure to a tutor seemed to bias juveniles against that tutor and his song. Our results suggest that oxytocin receptors are important for socially-guided vocal learning.
Collapse
Affiliation(s)
| | - Nicole M Baran
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Aditya Bhise
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Matthew T Davis
- Department of Psychology, Emory University, Atlanta, GA, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Erik N K Iverson
- Department of Psychology, Emory University, Atlanta, GA, USA
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Emily Kim
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sumin Lee
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Carlos A Rodriguez-Saltos
- Department of Psychology, Emory University, Atlanta, GA, USA
- Department of Biology, Hofstra University, Hempstead, NY, USA
| | - Donna L Maney
- Department of Psychology, Emory University, Atlanta, GA, USA.
| |
Collapse
|
5
|
Aamodt CM, White SA. Inhibition of miR-128 Enhances Vocal Sequence Organization in Juvenile Songbirds. Front Behav Neurosci 2022; 16:833383. [PMID: 35283744 PMCID: PMC8914539 DOI: 10.3389/fnbeh.2022.833383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/02/2022] [Indexed: 11/13/2022] Open
Abstract
The molecular mechanisms underlying learned vocal communication are not well characterized. This is a major barrier for developing treatments for conditions affecting social communication, such as autism spectrum disorder (ASD). Our group previously generated an activity-dependent gene expression network in the striatopallidal song control nucleus, Area X, in adult zebra finches to identify master regulators of learned vocal behavior. This dataset revealed that the two host genes for microRNA-128, ARPP21 and R3HDM1, are among the top genes whose expression correlates to how much birds sing. Here we examined whether miR-128 itself is behaviorally regulated in Area X and found that its levels decline with singing. We hypothesized that reducing miR-128 during the critical period for vocal plasticity would enhance vocal learning. To test this, we bilaterally injected an antisense miR-128 construct (AS miR-128) or a control scrambled sequence into Area X at post-hatch day 30 (30 d) using sibling-matched experimental and control pupils. The juveniles were then returned to their home cage and raised with their tutors. Strikingly, inhibition of miR-128 in young birds enhanced the organization of learned vocal sequences. Tutor and pupil stereotypy scores were positively correlated, though the correlation was stronger between tutors and control pupils compared to tutors and AS miR-128 pupils. This difference was driven by AS miR-128 pupils achieving higher stereotypy scores despite their tutors’ lower syntax scores. AS miR-128 birds with tutors on the higher end of the stereotypy spectrum were more likely to produce songs with faster tempos relative to sibling controls. Our results suggest that low levels of miR-128 facilitate vocal sequence stereotypy. By analogy, reducing miR-128 could enhance the capacity to learn to speak in patients with non-verbal ASD. To our knowledge, this study is the first to directly link miR-128 to learned vocal communication and provides support for miR-128 as a potential therapeutic target for ASD.
Collapse
Affiliation(s)
- Caitlin M. Aamodt
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, United States
- *Correspondence: Caitlin M. Aamodt,
| | - Stephanie A. White
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States
- Stephanie A. White,
| |
Collapse
|
6
|
Kaur S, Kinkade JA, Green MT, Martin RE, Willemse TE, Bivens NJ, Schenk AK, Helferich WG, Trainor BC, Fass J, Settles M, Mao J, Rosenfeld CS. Disruption of global hypothalamic microRNA (miR) profiles and associated behavioral changes in California mice (Peromyscus californicus) developmentally exposed to endocrine disrupting chemicals. Horm Behav 2021; 128:104890. [PMID: 33221288 PMCID: PMC7897400 DOI: 10.1016/j.yhbeh.2020.104890] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/28/2020] [Accepted: 11/04/2020] [Indexed: 12/15/2022]
Abstract
Developmental exposure to endocrine disrupting chemicals (EDCs), e.g., bisphenol A (BPA) or genistein (GEN), causes longstanding epigenome effects. MicroRNAs (miRs) regulate which mRNAs will be translated to proteins and thereby serve as the final checkpoint in epigenetic control. Scant amount is known, however, whether EDCs affect neural miRNA (miR) patterns. We aimed to test the hypothesis that developmental exposure of California mice (Peromyscus californicus) to GEN, BPA, or both chemicals influences hypothalamic miR/small RNA profiles and ascertain the extent such biomolecular alterations correlate with behavioral and metabolic changes. California mice were developmentally exposed to GEN (250 mg/kg feed weight, FW), GEN (250 mg/kg FW)+BPA (5 mg/kg FW), low dose (LD) BPA (5 mg/kg FW), or upper dose (UD) BPA (50 mg/kg FW). Adult offspring were tested in a battery of behavioral and metabolic tests; whereupon, mice were euthanized, brains were collected and frozen, small RNAs were isolated from hypothalamic punches, and subsequently sequenced. California mice exposed to one or both EDCs engaged in one or more repetitive behaviors. GEN, LD BPA, and UD BPA altered aspects of ultrasonic and audible vocalizations. Each EDC exposure led to sex-dependent differences in differentially expressed miR/small RNAs with miR7-2, miR146, and miR148a being increased in all female and male EDC exposed groups. Current findings reveal that developmental exposure to GEN and/or BPA affects hypothalamic miR/small RNA expression patterns, and such changes correlate with EDC-induced behavioral and metabolic alterations. miR146 is likely an important mediator and biomarker of EDC exposure in mammals, including humans.
Collapse
Affiliation(s)
- Sarabjit Kaur
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Jessica A Kinkade
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Madison T Green
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Rachel E Martin
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Tess E Willemse
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Nathan J Bivens
- DNA Core Facility, University of Missouri, Columbia, MO 65211, USA
| | | | - William G Helferich
- Food Science and Human Nutrition, University of Illinois, Urbana, IL 61801, USA
| | - Brian C Trainor
- Department of Psychology, University of California, Davis, CA 95616, USA
| | - Joseph Fass
- Bioinformatics Core, UC Davis Genome Center, Davis, CA 95616, USA
| | - Matthew Settles
- Bioinformatics Core, UC Davis Genome Center, Davis, CA 95616, USA
| | - Jiude Mao
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Cheryl S Rosenfeld
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA; Biomedical Sciences, University of Missouri, Columbia, MO 65211, USA; Informatics Institute, University of Missouri, Columbia, MO 65211, USA; Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, MO 65211, USA; Genetics Area Program, University of Missouri, Columbia, MO 65211, USA.
| |
Collapse
|
7
|
Shi Z, Zhang Z, Schaffer L, Huang Z, Fu L, Head S, Gaasterland T, Wang X, Li X. Dynamic transcriptome landscape in the song nucleus HVC between juvenile and adult zebra finches. ADVANCED GENETICS (HOBOKEN, N.J.) 2021; 2:e10035. [PMID: 36618441 PMCID: PMC9744550 DOI: 10.1002/ggn2.10035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 09/25/2020] [Accepted: 10/15/2020] [Indexed: 01/11/2023]
Abstract
Male juvenile zebra finches learn to sing by imitating songs of adult males early in life. The development of the song control circuit and song learning and maturation are highly intertwined processes, involving gene expression, neurogenesis, circuit formation, synaptic modification, and sensory-motor learning. To better understand the genetic and genomic mechanisms underlying these events, we used RNA-Seq to examine genome-wide transcriptomes in the song control nucleus HVC of male juvenile (45 d) and adult (100 d) zebra finches. We report that gene groups related to axon guidance, RNA processing, lipid metabolism, and mitochondrial functions show enriched expression in juvenile HVC compared to the rest of the brain. As juveniles mature into adulthood, massive gene expression changes occur. Expression of genes related to amino acid metabolism, cell cycle, and mitochondrial function is reduced, accompanied by increased and enriched expression of genes with synaptic functions, including genes related to G-protein signaling, neurotransmitter receptors, transport of small molecules, and potassium channels. Unexpectedly, a group of genes with immune system functions is also developmentally regulated, suggesting potential roles in the development and functions of HVC. These data will serve as a rich resource for investigations into the development and function of a neural circuit that controls vocal behavior.
Collapse
Affiliation(s)
- Zhimin Shi
- Neuroscience Center of ExcellenceLouisiana State University School of MedicineNew OrleansLouisianaUSA
| | - Zeyu Zhang
- Key Laboratory of Genetic Network BiologyInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesBeijingChina,University of Chinese Academy of SciencesBeijingChina
| | | | - Zhi Huang
- Neuroscience Center of ExcellenceLouisiana State University School of MedicineNew OrleansLouisianaUSA
| | - Lijuan Fu
- Neuroscience Center of ExcellenceLouisiana State University School of MedicineNew OrleansLouisianaUSA,Present address:
California Medical Innovations InstituteSan DiegoCaliforniaUSA
| | - Steven Head
- Scripps Research InstituteLa JollaCaliforniaUSA
| | - Terry Gaasterland
- Scripps Research InstituteLa JollaCaliforniaUSA,University of California at San DiegoLa JollaCaliforniaUSA
| | - Xiu‐Jie Wang
- Key Laboratory of Genetic Network BiologyInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesBeijingChina,University of Chinese Academy of SciencesBeijingChina
| | - XiaoChing Li
- Neuroscience Center of ExcellenceLouisiana State University School of MedicineNew OrleansLouisianaUSA
| |
Collapse
|
8
|
Glutamate receptors in domestication and modern human evolution. Neurosci Biobehav Rev 2020; 108:341-357. [DOI: 10.1016/j.neubiorev.2019.10.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 09/28/2019] [Accepted: 10/07/2019] [Indexed: 02/08/2023]
|
9
|
Differential Song Deficits after Lentivirus-Mediated Knockdown of FoxP1, FoxP2, or FoxP4 in Area X of Juvenile Zebra Finches. J Neurosci 2019; 39:9782-9796. [PMID: 31641053 DOI: 10.1523/jneurosci.1250-19.2019] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/30/2019] [Accepted: 10/01/2019] [Indexed: 12/12/2022] Open
Abstract
Mutations in the transcription factors FOXP1 and FOXP2 are associated with speech impairments. FOXP1 is additionally linked to cognitive deficits, as is FOXP4. These FoxP proteins are highly conserved in vertebrates and expressed in comparable brain regions, including the striatum. In male zebra finches, experimental manipulation of FoxP2 in Area X, a striatal song nucleus essential for vocal production learning, affects song development, adult song production, dendritic spine density, and dopamine-regulated synaptic transmission of striatal neurons. We previously showed that, in the majority of Area X neurons FoxP1, FoxP2, and FoxP4 are coexpressed, can dimerize and multimerize with each other and differentially regulate the expression of target genes. These findings raise the possibility that FoxP1, FoxP2, and FoxP4 (FoxP1/2/4) affect neural function differently and in turn vocal learning. To address this directly, we downregulated FoxP1 or FoxP4 in Area X of juvenile zebra finches and compared the resulting song phenotypes with the previously described inaccurate and incomplete song learning after FoxP2 knockdown. We found that experimental downregulation of FoxP1 and FoxP4 led to impaired song learning with partly similar features as those reported for FoxP2 knockdowns. However, there were also specific differences between the groups, leading us to suggest that specific features of the song are differentially impacted by developmental manipulations of FoxP1/2/4 expression in Area X.SIGNIFICANCE STATEMENT We compared the effects of experimentally reduced expression of the transcription factors FoxP1, FoxP2, and FoxP4 in a striatal song nucleus, Area X, on vocal production learning in juvenile male zebra finches. We show, for the first time, that these temporally and spatially precise manipulations of the three FoxPs affect spectral and temporal song features differentially. This is important because it raises the possibility that the different FoxPs control different aspects of vocal learning through combinatorial gene expression or by acting in different microcircuits within Area X. These results are consistent with the deleterious effects of human FOXP1 and FOXP2 mutations on speech and language and add FOXP4 as a possible candidate gene for vocal disorders.
Collapse
|
10
|
Lieberman P. The antiquity and evolution of the neural bases of rhythmic activity. Ann N Y Acad Sci 2019; 1453:114-124. [PMID: 31368158 DOI: 10.1111/nyas.14199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 06/10/2019] [Accepted: 07/02/2019] [Indexed: 11/30/2022]
Abstract
The evolution of the anatomy and neural circuits that regulate the rhythm of speech can be traced back to the Devonian age, 400 million years ago. Epigenetic processes 100 million years later modified these circuits. Natural selection on similar genetic processes occurred during the evolution of archaic hominins and humans. The lungs and larynx-anatomy that produces the rhythmic fundamental frequency patterns of speech-have a deep evolutionary history. Neural circuits linking the cortex, basal ganglia, and other subcortical structures plan, sequence, and execute motor as well as cognitive acts. These neural circuits generate the rhythm of speech, singing, and chanting. The human form of the transcription factor FOXP2 increased synaptic connectivity and plasticity in basal ganglia circuits, enhancing motor control and cognitive and linguistic capabilities in humans as well as Neanderthals. The archeological record also suggests that Neanderthals passed spoken language. Homologous circuits existed in amphibians. In songbirds, the avian form of FOXP2 acted on similar neural circuits allowing birds to learn and produce new songs. Current studies point to natural selection on genetic events enhancing these and other neural circuits to yield fully human rhythmic speech, and motor, cognitive, and linguistic capabilities, rather than the saltation proposed by Noam Chomsky.
Collapse
Affiliation(s)
- Philip Lieberman
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island
| |
Collapse
|
11
|
Aberrant Expression of Long Non-coding RNAs in Peripheral Blood of Autistic Patients. J Mol Neurosci 2018; 67:276-281. [DOI: 10.1007/s12031-018-1240-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 12/10/2018] [Indexed: 11/29/2022]
|
12
|
Shi Z, Tchernichovski O, Li X. Studying the Mechanisms of Developmental Vocal Learning and Adult Vocal Performance in Zebra Finches through Lentiviral Injection. Bio Protoc 2018; 8:e3006. [DOI: 10.21769/bioprotoc.3006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
|