Dissertation Research: Uncovering molecular mechanisms of facial recognition using comparative transcriptomics

论文研究：利用比较转录组学揭示面部识别的分子机制

• 批准号: 1311512
• 负责人: Amy Toth
• 金额: $ 1.92万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1311512&HistoricalAwards=false
• 关键词: Dissertation; Research; Uncovering; molecular; mechanisms

Very few animals, mostly humans and other primates, are known to have a special ability to recognize each other's faces. How is this impressive feat of learning accomplished? Until now, technical limitations have made it difficult to study the ways in which animals' brains and genes permit them to recognize faces. Here the researchers are taking advantage of what some may consider a surprising model for this, insects, to delve into how facial recognition works on the level of brains and genes. The researchers have shown that several species of social paper wasps (Polistes) possess the ability to recognize individual faces. Polistes fuscatus wasps have striking variation in facial color patterns and they can learn faces much more readily than other visual patterns. In contrast a closely related species, Polistes metricus, does not have facial variation and lacks the special ability to learn faces more readily than other patterns. These two species with contrasting facial recognition abilities provide a unique opportunity to study the relationship between genes, brains and this ability. In collaboration with Dr. Elizabeth Tibbetts, wasps of each species are trained to recognize faces or non-face patterns. Dr. Toth and Ms. Berens will use "next generation" sequencing to measure the activity of thousands of genes in these wasps' brains to determine whether there are particular genes associated with facial recognition. The team will then manipulate gene activity in wasps' brains in order to determine whether such a change can improve or impair wasps' facial recognition abilities. Understanding the interplay between brains, genes, and facial recognition will be of benefit to human health since disordered facial recognition can impair human social interactions. This project is significant because it will use the paper wasp model to provide the first in-depth genetic analysis of a sophisticated form of learning that has been difficult to study in detail in humans and other primates.RNA data will be deposited at ArrayExpress (http://www.ebi.ac.uk/arrayexpress/)

很少有动物，主要是人类和其他灵长类动物，具有识别彼此面孔的特殊能力。这个令人印象深刻的学习壮举是如何完成的？到目前为止，由于技术上的限制，很难研究动物的大脑和基因是如何让它们识别人脸的。在这里，研究人员正在利用一些可能被认为是令人惊讶的模型——昆虫——来深入研究面部识别在大脑和基因层面上是如何工作的。研究人员已经证明，几种社会性纸黄蜂（Polistes）具有识别个人面孔的能力。褐斑黄蜂在面部颜色模式上有着惊人的变化，它们比其他视觉模式更容易识别人脸。与之相反，另一种近亲物种，长鼻猴，没有面部变异，也缺乏比其他物种更容易识别面部特征的特殊能力。这两个具有不同面部识别能力的物种为研究基因、大脑和这种能力之间的关系提供了一个独特的机会。在与Elizabeth Tibbetts博士的合作中，每个物种的黄蜂都被训练去识别人脸或非人脸模式。托特博士和贝伦斯女士将使用“下一代”测序技术来测量这些黄蜂大脑中数千个基因的活动，以确定是否存在与面部识别相关的特定基因。然后，研究小组将操纵黄蜂大脑中的基因活动，以确定这种变化是否会提高或损害黄蜂的面部识别能力。了解大脑、基因和面部识别之间的相互作用将有益于人类健康，因为紊乱的面部识别会损害人类的社会互动。这个项目意义重大，因为它将利用纸黄蜂模型首次对一种复杂的学习形式进行深入的遗传分析，这种学习形式很难在人类和其他灵长类动物身上进行详细研究。RNA数据将存储在ArrayExpress （http://www.ebi.ac.uk/arrayexpress/）