Neural basis of facial individual recognition in paper wasps

纸黄蜂面部个体识别的神经基础

基本信息

批准号：
10524286
负责人：
Michael J Sheehan
金额：
$ 69.04万
依托单位：
CORNELL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-15 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10524286
关键词：
Address Animals Ants Architecture Atlases Bees Behavior Behavioral Biological Models Biology Brain Brain region Breeding Cell Nucleus Cells Cognitive Communities Complex Consumption Cooperative Behavior Data Development Discrimination Disease Distant Electrophysiology (science)Elements Evolution Eye Face Face Processing Funding Gene Expression Genetic Engineering Genomic approach Honey Human Image Immediate-Early Genes Individual Injections Insecta Mediating Modeling Modernization Molecular Molecular Analysis Motivation Natural Selections Neurons Neurophysiology - biologic function Neuropil Neurosciences Outcome Paper Pattern Phenotype Play Population Primates Process Publications Recording of previous events Research Role Signal Transduction Social Behavior Social Dominance Social Interaction Social support Stains Stimulus System Testing Time Tissue-Specific Gene Expression Variant Vertebrates Viral Vector Visual Visual system structure Wasps Work behavioral response brain cell cell type comparative design experience experimental study extracellular fighting fly follow-up genomic tools innovation insight neural circuit neural patterning novel promoter relating to nervous system response social social structure success tool transcriptome sequencing transcriptomics transgene expression vector visual processing

项目摘要

The neural circuits of animals, including humans, are the combined product of adaptation by natural selection and the evolutionary history of a species. Distinguishing which features of neural circuits represent fundamental principles of circuit design versus the quirks of a particular model species requires comparative approaches. Features of neural circuit design and architecture that have evolved independently multiple times in distantly related species indicate elements of optimal solutions to solving a particular behavioral or cognitive problem. At the same time, aspects of neural systems that have evolved to facilitate novel behavior provide key insights into the process by which neural systems can be modified while maintaining function. Here we seek funding to develop the paper wasp, Polistes fuscatus, as a model system in neuroscience. Remarkably, these wasp uses facial individual recognition to differentiate among nestmates. Like primates, these wasps use holistic visual processing of faces and show cognitive specializations for facial recognition. In many respects, paper wasp social behavior is more similar to cooperatively breeding vertebrates than other social insects like honey bees or ants. These wasps represent an independent evolution of specialized face processing relative to primates, allowing for comparisons of the architecture of neural encoding of facial identity between distantly related groups that have independently evolved eyes and facial recognition. At the same time, our recent work shows that individual recognition has evolved in paper wasps within the last few thousand years meaning that we have a rare opportunity to understand how neural circuits underlying complex social behavior have arisen from ancestral abilities. We propose a multi-pronged approach that takes advantage of modern tools in neuroscience that will allow us to rapidly begin to characterize the neural encoding of faces in wasps. (Aim 1) We will leverage our expertise in single cell genomic approaches to identify which cell types within the wasp brain are involved in facial processing and individual recognition. (Aim 2) We will build on preliminary data from multi-channel electrophysiological recordings to examine the neural encoding of facial recognition in the wasp brain. These two approaches can be readily applied to non-model species such as paper wasps and provide a direct and immediate path forward for establishing paper wasps as a model for neuroscience studies of social recognition. (Aim 3) We will work to screen and optimize viral vectors for transgene expression in paper wasps. Viral vectors of genetically encoded tools for recording and manipulating neurons are now commonplace in model and non-model vertebrates, but rare in insects. Identifying which vectors work in wasps will immediately open a wide range of possible experiments and will be readily shared with the scientific community. Paper wasps accomplish remarkably sophisticated and complex social behavior in a small brain – investing in their development as a model system will help uncover fundamental principles of neural systems governing social behavior.

包括人类在内的动物的神经回路是自然选择适应的综合产物以及区分神经回路的哪些特征代表了物种的进化历史。电路设计的基本原理与特定模型物种的怪癖需要比较多次独立进化的神经电路设计和架构的特征。远亲表示物种元素解决特定行为或认知的最佳解决方案与此同时，神经系统的某些方面已经进化以促进新的行为。在这里，我们对神经系统在维持功能的同时进行修改的过程进行了关键见解。寻求资金来开发纸黄蜂（Polistes fuscatus）作为神经科学的模型系统。这些黄蜂使用面部个体识别来区分巢友，就像灵长类动物一样，这些黄蜂也使用面部识别来区分同伴。面部的整体视觉处理并在许多方面表现出面部识别的认知专业化。与其他社会性昆虫（例如，纸黄蜂）的社会行为相比，纸黄蜂的社会行为更类似于合作繁殖的脊椎动物这些黄蜂代表了专门的面部处理相关的独立进化。与灵长类动物相比，可以比较远距离动物之间面部身份的神经编码结构与此同时，我们最近的工作是独立进化出眼睛和面部识别能力的相关群体。表明在过去的几千年里，纸黄蜂的个体识别能力已经进化，这意味着我们有一个难得的机会来了解复杂社会行为背后的神经回路是如何产生的我们提出了一种利用现代工具的多管齐下的方法。神经科学将使我们能够快速开始描述黄蜂面部的神经编码特征（目标 1）。我们将利用我们在单细胞基因组方法方面的专业知识来识别黄蜂内的细胞类型大脑参与面部处理和个体识别（目标 2）我们将建立在初步数据的基础上。多通道电生理记录检查黄蜂面部识别的神经编码这两种方法可以很容易地应用于非模型物种，例如纸黄蜂，并提供一种建立纸黄蜂作为社会神经科学研究模型的直接和直接途径（目标 3）我们将致力于筛选和优化纸黄蜂转基因表达的病毒载体。用于记录和操纵神经元的基因编码工具的病毒载体现在在模型和非模型脊椎动物，但在昆虫中很少见，将立即识别哪些载体在黄蜂中起作用。开放一系列可能的实验，并将很容易与科学界分享论文。黄蜂在小小的大脑中完成了令人惊讶的复杂的社会行为——投资于它们的大脑作为模型系统的开发将有助于揭示神经系统治理社会的基本原理行为。