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Traenkner D, Shennib O, Johnson A, Weinbrom A, Taylor MR, Williams ME. Modular Splicing Is Linked to Evolution in the Synapse-Specificity Molecule Kirrel3. eNeuro 2023; 10:ENEURO.0253-23.2023. [PMID: 37977826 DOI: 10.1523/eneuro.0253-23.2023] [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: 07/17/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
Kirrel3 is a cell-adhesion molecule that instructs the formation of specific synapses during brain development in mouse and Kirrel3 variants may be risk factors for autism and intellectual disabilities in humans. Kirrel3 is predicted to undergo alternative splicing but brain isoforms have not been studied. Here, we present the first in-depth characterization of Kirrel3 isoform diversity in brain using targeted, long-read mRNA sequencing of mouse hippocampus. We identified 19 isoforms with predicted transmembrane and secreted forms and show that even rare isoforms generate detectable protein in the brain. We also analyzed publicly-available long-read mRNA databases from human brain tissue and found 11 Kirrel3 isoforms that, similar to mouse, encode transmembrane and secreted forms. In mice and humans, Kirrel3 diversity arises from alternative, independent use of protein-domain coding exons and alternative early translation-stop signals. Intriguingly, the alternatively spliced exons appear at branch points in the chordate phylogenetic tree, including one exon only found in humans and their closest living relatives, the great apes. Together, these results validate a simple pipeline for analyzing isoform diversity in genes with low expression and suggest that Kirrel3 function is fine-tuned by alternative splicing and may play a role in brain evolution.
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Affiliation(s)
- Dimitri Traenkner
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
| | - Omar Shennib
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
| | - Alyssa Johnson
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
| | - Adam Weinbrom
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
| | - Matthew R Taylor
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
| | - Megan E Williams
- Department of Neurobiology, University of Utah, School of Medicine, Salt Lake City, UT 84112
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Wu S, Zhang J, Liu B, Huang Y, Li S, Wen H, Zhang M, Li J, Li Y, He F. Identification and Characterization of lncRNAs Related to the Muscle Growth and Development of Japanese Flounder ( Paralichthys olivaceus). Front Genet 2020; 11:1034. [PMID: 33033494 PMCID: PMC7510837 DOI: 10.3389/fgene.2020.01034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 08/11/2020] [Indexed: 01/28/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) play an important role in many life activities, but the expression pattern and function of lncRNAs in Japanese flounder skeletal muscle are unclear. In this study, 751 lncRNAs were selected from skeletal muscle in different development stages of the Japanese flounder [stage A: larval 7 days post hatching (dph); stage B: juvenile about 90 dph; stage C (female) and stage D (male): adult about 24 months] using coding potential analysis methods. In total, 232, 211, 194, 28, 29, and 14 differentially expressed lncRNAs and 9549, 8673, 9181, 1821, 1080, and 557 differentially expressed mRNAs were identified in comparisons of A versus B, A versus C, A versus D, B versus C, B versus D, and C versus D, respectively. We identified the cis- and trans-regulatory target genes of differentially expressed lncRNAs, and lncRNA-gene interaction networks were constructed using the Cytoscape program. In total, there were 200, 200, 200, 93, 47, and 11 cis-regulation relationships, and 29, 19, 24, 38, 8, and 47 trans-regulation relationships in the comparisons between A versus B, A versus C, A versus D, B versus C, B versus D, and C versus D, respectively. These results indicate that lncRNA may participate in the development of Japanese flounder skeletal muscle through cis- or trans-acting mechanisms, thus providing a scientific basis for further study of the biological function of lncRNA in Japanese flounder skeletal muscle. Based on these relationships, functional annotation of the related lncRNAs was performed by gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Differentially expressed genes associated with muscle development were enriched in multiple pairs of comparisons (e.g., differentially expressed genes LOC109640370, LOC109634180, LOC109643555, rusc1, and LOC109626999 were enriched in the actin-binding term, and differentially expressed genes LOC109640370, was, LOC109644970, LOC109643555, and itga9 were enriched in the regulation of the actin cytoskeleton pathway in the KEGG pathway analysis in the comparison of stages C and D). We predicted lncRNA-mRNA, miRNA-mRNA, and lncRNA-miRNA regulatory relationships and constructed interactive networks using Cytoscape software. Co-expression networks show that most lncRNAs interact with one or two predicted miRNAs involved in muscle growth and development. These results provide a basis for further study of the function of lncRNAs on skeletal muscle in different developmental stages of Japanese flounder.
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Affiliation(s)
- Shuxian Wu
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Jingru Zhang
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Binghua Liu
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Yajuan Huang
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Siping Li
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Haishen Wen
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Meizhao Zhang
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Jifang Li
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Yun Li
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
| | - Feng He
- The Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, China
- Fisheries College, Ocean University of China, Qingdao, China
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