Sebastien Riquier, Samuel Carthy, Graham M Hughes, Frederic Touzalin, Wilfried Haerty, Zixia Huang, Emma C Teeling
{"title":"RNA-Seq分析揭示了野生Myotis Myotis蝙蝠免疫相关的长链非编码rna。","authors":"Sebastien Riquier, Samuel Carthy, Graham M Hughes, Frederic Touzalin, Wilfried Haerty, Zixia Huang, Emma C Teeling","doi":"10.1186/s12864-025-11485-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Bats possess a uniquely adapted immune system that enables them to live with viral infections without the expected maladies. The molecular basis and regulation of bats' immune response is still not fully understood. Long non-coding RNAs (lncRNAs) represent an emerging class of molecules with critical regulatory roles in multiple biological processes, including immunity. We hypothesise that lncRNA-based regulation in bats may enable them to limit disease and live with viral pathogens.</p><p><strong>Results: </strong>We developed a lncRNA prediction pipeline to annotate the long non-coding transcriptome across multiple bat tissues and at the population level. Characterisation of our lncRNA dataset based on 100 blood transcriptomes from wild Myotis myotis bats revealed lower and more tissue-specific expression compared with coding genes, reduced GC content and shorter length distributions, consistent with lncRNA profiles observed in other species. Using WGCNA network analyses and gene ontology, we identified two mRNA-lncRNA co-expression modules in Myotis myotis associated with distinct immune response: one linked to T-cell activation and vial processes, and the other to inflammation. From these immune-related lncRNAs, we selected four candidates with high translational potential for regulating viral infections and inflammation. These include a newly identified lncRNA, BatLnc1, with potential antiviral functions; the M. myotis ortholog of TUG1, implicated in viral-host interactions; and well-known lncRNAs MALAT1 and NEAT1, recognised for their roles in inflammatory regulation.</p><p><strong>Conclusions: </strong>We conducted the first ab initio prediction of lncRNAs in a non-model bat species, the wild-caught M. myotis. Our network analysis revealed significant variation in immune status among a subset of individuals, potentially due to pathogenic conditions. From these variations, we identified lncRNAs most likely associated with immune response in bats. This initial exploration lays the groundwork for future experimental validations of lncRNA functions, offering promising insights into their role in bat immunity.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"345"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11972528/pdf/","citationCount":"0","resultStr":"{\"title\":\"RNA-Seq analysis reveals the long noncoding RNAs associated with immunity in wild Myotis myotis bats.\",\"authors\":\"Sebastien Riquier, Samuel Carthy, Graham M Hughes, Frederic Touzalin, Wilfried Haerty, Zixia Huang, Emma C Teeling\",\"doi\":\"10.1186/s12864-025-11485-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Bats possess a uniquely adapted immune system that enables them to live with viral infections without the expected maladies. The molecular basis and regulation of bats' immune response is still not fully understood. Long non-coding RNAs (lncRNAs) represent an emerging class of molecules with critical regulatory roles in multiple biological processes, including immunity. We hypothesise that lncRNA-based regulation in bats may enable them to limit disease and live with viral pathogens.</p><p><strong>Results: </strong>We developed a lncRNA prediction pipeline to annotate the long non-coding transcriptome across multiple bat tissues and at the population level. Characterisation of our lncRNA dataset based on 100 blood transcriptomes from wild Myotis myotis bats revealed lower and more tissue-specific expression compared with coding genes, reduced GC content and shorter length distributions, consistent with lncRNA profiles observed in other species. Using WGCNA network analyses and gene ontology, we identified two mRNA-lncRNA co-expression modules in Myotis myotis associated with distinct immune response: one linked to T-cell activation and vial processes, and the other to inflammation. From these immune-related lncRNAs, we selected four candidates with high translational potential for regulating viral infections and inflammation. These include a newly identified lncRNA, BatLnc1, with potential antiviral functions; the M. myotis ortholog of TUG1, implicated in viral-host interactions; and well-known lncRNAs MALAT1 and NEAT1, recognised for their roles in inflammatory regulation.</p><p><strong>Conclusions: </strong>We conducted the first ab initio prediction of lncRNAs in a non-model bat species, the wild-caught M. myotis. Our network analysis revealed significant variation in immune status among a subset of individuals, potentially due to pathogenic conditions. From these variations, we identified lncRNAs most likely associated with immune response in bats. This initial exploration lays the groundwork for future experimental validations of lncRNA functions, offering promising insights into their role in bat immunity.</p>\",\"PeriodicalId\":9030,\"journal\":{\"name\":\"BMC Genomics\",\"volume\":\"26 1\",\"pages\":\"345\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11972528/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Genomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s12864-025-11485-1\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12864-025-11485-1","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
RNA-Seq analysis reveals the long noncoding RNAs associated with immunity in wild Myotis myotis bats.
Background: Bats possess a uniquely adapted immune system that enables them to live with viral infections without the expected maladies. The molecular basis and regulation of bats' immune response is still not fully understood. Long non-coding RNAs (lncRNAs) represent an emerging class of molecules with critical regulatory roles in multiple biological processes, including immunity. We hypothesise that lncRNA-based regulation in bats may enable them to limit disease and live with viral pathogens.
Results: We developed a lncRNA prediction pipeline to annotate the long non-coding transcriptome across multiple bat tissues and at the population level. Characterisation of our lncRNA dataset based on 100 blood transcriptomes from wild Myotis myotis bats revealed lower and more tissue-specific expression compared with coding genes, reduced GC content and shorter length distributions, consistent with lncRNA profiles observed in other species. Using WGCNA network analyses and gene ontology, we identified two mRNA-lncRNA co-expression modules in Myotis myotis associated with distinct immune response: one linked to T-cell activation and vial processes, and the other to inflammation. From these immune-related lncRNAs, we selected four candidates with high translational potential for regulating viral infections and inflammation. These include a newly identified lncRNA, BatLnc1, with potential antiviral functions; the M. myotis ortholog of TUG1, implicated in viral-host interactions; and well-known lncRNAs MALAT1 and NEAT1, recognised for their roles in inflammatory regulation.
Conclusions: We conducted the first ab initio prediction of lncRNAs in a non-model bat species, the wild-caught M. myotis. Our network analysis revealed significant variation in immune status among a subset of individuals, potentially due to pathogenic conditions. From these variations, we identified lncRNAs most likely associated with immune response in bats. This initial exploration lays the groundwork for future experimental validations of lncRNA functions, offering promising insights into their role in bat immunity.
期刊介绍:
BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics.
BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.