学习数量遗传学:植物冷胁迫反应的遗传控制研究

CourseSource Pub Date : 2022-01-01 DOI:10.24918/cs.2022.4
I. Makarevitch, Raeann Goering
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Maize varieties show a large variation in the degree of their response to stress, suggesting that this trait is highly heritable, even though most of the genes contributing to this trait remain elusive. The results of the QTL analysis vary depending on the plant material used in the study and the specific traits measured in the study, reflecting the polygenic nature of the trait. This laboratory project allows students to make decisions about the details of the experimental design, collaborate with their peers, conduct the experiments, and analyze the results using standard protocols for the QTL analysis. The accompanying worksheets and supplemental instruction demonstrate the complex architecture of quantitative traits and their dependency on the number of plants involved in the analysis and the details of the experimental design. The laboratory series invites students to discuss the nature of the scientific investigation. Citation: Makarevitch I, Goering R. 2022. 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引用次数: 0

摘要

学生的课程嵌入式本科研究经历(CUREs)已被证明可以增加学生对科学过程的理解,肯定他们的科学身份,并提高对STEM领域的保留。尽管最近在生物学入门、遗传学、生物化学和分子生物学课程中开发了许多cure,但与数量遗传学和多基因遗传相关的项目很少。在传统的遗传学课程中,学生经常与定量遗传学研究的不确定性和复杂性作斗争。本课程介绍了一系列的实验室练习,提供了一个真实的研究经验,重点是植物中与冷胁迫反应相关的性状的数量性状位点(QTL)分析。玉米品种对压力的反应程度有很大的差异,这表明这一特性是高度可遗传的,尽管大多数导致这一特性的基因仍然难以捉摸。QTL分析的结果根据研究中使用的植物材料和研究中测量的特定性状而有所不同,反映了性状的多基因性质。这个实验项目允许学生对实验设计的细节做出决定,与他们的同伴合作,进行实验,并使用QTL分析的标准协议分析结果。随附的工作表和补充说明展示了数量性状的复杂结构,以及它们对参与分析的植物数量和实验设计细节的依赖。实验系列邀请学生讨论科学调查的本质。引用本文:Makarevitch I, Goering R. 2022。学习数量遗传学:植物冷胁迫反应的遗传控制研究。CourseSource。https://doi.org/10.24918/cs.2022.4编辑:Megan Barker, Simon Fraser University收稿日期:2/23/2021;接受:8/31/2021;版权所有:©2022 Makarevitch and Goering。这是一篇在知识共享署名-非商业-相同方式共享4.0国际许可协议下发布的开放获取文章,该协议允许在任何媒体上不受限制的非商业使用、分发和复制,前提是要注明原作者和来源。利益冲突和资金声明:作者没有与本研究相关的财务、个人或专业利益冲突。这项工作得到了NSF奖励(IOS 1444456)的支持。支持材料:支持文件玉米冷响应qtl -详细时间轴研究S2。玉米冷反应的qtl -学生讲义S3。玉米冷反应的qtl -工作表问题样答S4。玉米冷反应的qtl——带正确答案的多项选择评估测验S5。玉米冷反应的qtl——用于评价学生实验报告数据分析和解释能力的指标S6。玉米冷响应qtl的遗传结构研究S7。玉米冷反应的qtl——学生样本表型数据和S8。玉米冷反应的QTL -样本格式化数据文件准备与视觉评分数据进行QTL分析。*通讯地址:1536 Hewitt Ave, Saint Paul, MN 55104;imakarevitch01@hamline.edu CourseSource | www.coursesource.org 2022 |卷09 1课
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Learning Quantitative Genetics: Investigation of Genetic Control for Cold Stress Response in Plants
Course-embedded undergraduate research experiences (CUREs) for students have been shown to increase students’ understanding of the process of science, affirm their scientific identity, and improve retention in STEM fields. Despite many CUREs recently developed for introductory biology, genetics, biochemistry, and molecular biology courses, projects related to quantitative genetics and polygenic inheritance are rare. Students frequently struggle with the uncertainty and complexity of quantitative genetic studies in a traditional genetics course. This lesson describes a series of laboratory exercises that provide an authentic research experience focused on quantitative trait loci (QTL) analysis of the traits related to cold stress response in plants. Maize varieties show a large variation in the degree of their response to stress, suggesting that this trait is highly heritable, even though most of the genes contributing to this trait remain elusive. The results of the QTL analysis vary depending on the plant material used in the study and the specific traits measured in the study, reflecting the polygenic nature of the trait. This laboratory project allows students to make decisions about the details of the experimental design, collaborate with their peers, conduct the experiments, and analyze the results using standard protocols for the QTL analysis. The accompanying worksheets and supplemental instruction demonstrate the complex architecture of quantitative traits and their dependency on the number of plants involved in the analysis and the details of the experimental design. The laboratory series invites students to discuss the nature of the scientific investigation. Citation: Makarevitch I, Goering R. 2022. Learning quantitative genetics: Investigation of genetic control for cold stress response in plants. CourseSource. https://doi.org/10.24918/cs.2022.4 Editor: Megan Barker, Simon Fraser University Received: 2/23/2021; Accepted: 8/31/2021; Published: 2/14/2022 Copyright: © 2022 Makarevitch and Goering. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. Conflict of Interest and Funding Statement: None of the authors has a financial, personal, or professional conflict of interest related to this work. This work was supported by NSF awards (IOS 1444456). Supporting Materials: Supporting Files S1. QTLs of Maize Cold Response – Detailed Timeline; S2. QTLs of Maize Cold Response – Student Handout; S3. QTLs of Maize Cold Response – Sample Answers to the Questions of the Worksheets; S4. QTLs of Maize Cold Response – Multiple Choice Assessment Quiz with Correct Answers; S5. QTLs of Maize Cold Response – Rubric Used for the Assessment of Student Skills in Data Analysis and Interpretation in the Lab Reports; S6. QTLs of Maize Cold Response – Genetic Architecture of the Lines Used in This Study; S7. QTLs of Maize Cold Response – Sample Phenotypic Data Collected by Students; and S8. QTLs of Maize Cold Response – Sample Formatted Data File Ready with Visual Scoring Data for QTL Analysis. *Correspondence to: 1536 Hewitt Ave, Saint Paul, MN 55104; imakarevitch01@hamline.edu CourseSource | www.coursesource.org 2022 | Volume 09 1 Lesson
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