RNA-Seq分析揭示了野生Myotis Myotis蝙蝠免疫相关的长链非编码rna。

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Sebastien Riquier, Samuel Carthy, Graham M Hughes, Frederic Touzalin, Wilfried Haerty, Zixia Huang, Emma C Teeling
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引用次数: 0

摘要

背景:蝙蝠具有独特的适应性免疫系统,使它们能够在病毒感染中生存而不会出现预期的疾病。蝙蝠免疫反应的分子基础和调控尚不完全清楚。长链非编码rna (lncRNAs)是一类新兴的分子,在包括免疫在内的多种生物过程中起着关键的调节作用。我们假设蝙蝠中基于lncrna的调控可能使它们能够限制疾病并与病毒病原体一起生活。结果:我们开发了一个lncRNA预测管道,在多个蝙蝠组织和群体水平上注释长非编码转录组。基于野生Myotis Myotis蝙蝠100个血液转录组的lncRNA数据集的特征显示,与编码基因相比,lncRNA的组织特异性表达更低,GC含量更低,长度分布更短,与在其他物种中观察到的lncRNA谱一致。利用WGCNA网络分析和基因本体,我们在肌炎中发现了两个mRNA-lncRNA共表达模块,它们与不同的免疫反应相关:一个与t细胞激活和小细胞过程有关,另一个与炎症有关。从这些免疫相关的lncrna中,我们选择了四个具有高翻译潜力的候选基因,以调节病毒感染和炎症。其中包括新发现的具有潜在抗病毒功能的lncRNA BatLnc1;与TUG1同源的肌支原体与病毒-宿主相互作用有关;以及众所周知的lncrna MALAT1和NEAT1,它们在炎症调节中发挥作用。结论:我们首次从头开始预测了非模型蝙蝠物种——野生myotis的lncrna。我们的网络分析揭示了个体子集中免疫状态的显著差异,可能是由于致病性疾病。从这些变异中,我们确定了最有可能与蝙蝠免疫反应相关的lncrna。这一初步探索为未来lncRNA功能的实验验证奠定了基础,为它们在蝙蝠免疫中的作用提供了有希望的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
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.
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