一个基于课程的本科研究经验 (CURE) 设计用于现代遗传学和生物多样性课程,使用课堂上的桌面测序器
Erika T Ebbs1, Allyson Barredo1, Amelia Whitehurst1
1Department of Biology, The State University of New York, Purchase College, Purchase, New York, USA.
Journal of microbiology & biology education
|January 9, 2026
概括
这个遗传学实验室课程整合了为期九周的课程基础的本科研究经验 (CURE),赋予学生基因组测序和生物信息学技能. 来自DNA分析的学生生成的数据为教师对研究不足的三毛动物的研究做出了贡献.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 生物信息学和计算生物学
- 进化生物学和生态学 进化生物学和生态学
背景情况:
- 现代遗传学研究越来越依赖于大型基因组数据集,用于医学,生态和进化研究.
- 解决这些研究问题需要结合湿实验室技术,数据分析和生物信息学专业知识.
- 本科遗传实验室课程可以通过整合真实研究经验来增强.
研究的目的:
- 在上级遗传学实验室课程中设计和实施为期九周的课程基础的本科研究经验 (CURE).
- 让学生接触到当代基因组测序和生物多样性分析技术,包括DNA提取,图书馆准备和测序.
- 通过利用真实样本,代数据评估和故障排除,促进学生参与真实的研究.
主要方法:
- 学生们进行了端到端的基因组工作流程,从从生物标本提取DNA开始,并通过图书馆准备和牛津纳米孔测序进行.
- 提供了基本生物信息学和遗传学分析的培训,使学生能够分析他们生成的基因组数据.
- 课程包括定量推理和科学沟通的模块,以培养必要的研究技能.
主要成果:
- 该CURE成功地为学生提供了基因组测序和生物信息学的实践技能,使用未经研究的三毛动物作为模型系统.
- 学生驱动的数据分析允许专业化和所有权,有助于对物种发现,变异和动物传染病的调查.
- 两次课程代的结果表明,学生生成的数据对教师领导的研究计划的有意义贡献.
结论:
- 实施的CURE有效地整合了"教学与研究协同作用",为学生提供了真实的研究经验和有价值的技能.
- 这种课程模式可以适应各种学习系统,并可以显著支持教师的研究举措.
- 学生生成的基因组数据可以有意义地推进正在进行的教师研究,突出显示CUREs在高等教育中的潜力.
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