Received date: 2020-09-24
Revised date: 2020-11-29
Online published: 2020-12-01
Supported by
Supported by Research Project of Ideological and Political Work in Schools in Gansu Province No(2020XXSZGZYBKT04)
Genetic drift is one of the four important factors affecting population genetic balance. Because its form of action is not as apparent as mutation, selection, and migration, which are intuitive and easy to understand, there are potential difficulties in understanding and mastering genetic drift. A particularly prominent problem is that the current introduction of genetic drift contents in textbooks is systematically insufficient. They are either even too rough, or completely neglecting the mathematical foundation such as the binomial theorem, resulting in long-term inadequate learning of genetic drift. In this paper, we summarize the five basic attributes of genetic drift, namely inherent, universal, random, non-directional, and regular features. Based on the concept that the genetic basis of genetic drift is the free combination of male and female gametes, we pointed out that the attribute of random sampling error is the inherent essential feature of genetic drift. Then step by step, from an extremely small population consisting of only one individual (N = 1), we deduced that the effect of genetic drift decreased while population size increased. Through introducing the mathematical model of the binomial theorem, the characteristics of the binomial distribution, and the results of computer simulations, the effect of genetic drift is visually and intuitively displayed to help the teaching the concept of genetic drift.
Chunming Wang, Changjun Lin, Huyuan Feng . How to teach genetic drift[J]. Hereditas(Beijing), 2020 , 42(12) : 1211 -1220 . DOI: 10.16288/j.yczz.20-310
| [1] | Wang CM.Exploration of the concept of genetic drift in genetics teaching of undergraduates. Hereditas(Beijing), 2016, 38(1): 82-89. |
| [1] | 王春明. 本科遗传学教学中的遗传漂变概念探讨. 遗传, 2016, 38(1): 82-89. |
| [2] | Yuan ZF. Population Genetics, Evolution and Entropy. Beijing: Science Press, 2011. |
| [2] | 袁志发. 群体遗传学、进化与熵. 2011, 北京: 科学出版社. |
| [3] | Fu WC. Statistical Genetics.Beijing: Science Press, 2004. |
| [3] | 顾万春. 统计遗传学. 2004, 北京: 科学出版社. |
| [4] | Li L.The limit relationship among common probability distributions. Sci Technol Inf, 2019, 17(8): 221-222. |
| [4] | 李玲. 常见概率分布间的极限关系. 科技资讯, 2019, 17(8): 221-222. |
| [5] | Du HF, Chen SG.Quantitative analysis of approximate calculation errors of binomial distribution. Coll Math, 2019, 35(4): 108-114. |
| [5] | 杜鸿飞, 陈绍刚. 二项分布近似计算的误差量化分析. 大学数学, 2019, 35(4): 108-114. |
| [6] | Dai ZH, Wang YF.Genetics (3rd ed.). Beijing: Higher Education Press, 2016. |
| [6] | 戴灼华, 王亚馥. 遗传学(第三版). 2016, 北京: 高等教育出版社. |
| [7] | Ding JH, Zhang HJ.The application of excel in simulating genetic drift. J Biol, 2016, 33(5): 109-111. |
| [7] | 丁建华, 张海军. Excel在模拟遗传漂变中的应用. 生物学杂志, 2016, 33(5): 109-111. |
| [8] | Li N, Li YJ, Guo HB, Zhang XQ.Design and exploration of genetic comprehensive experiments based on Ds insertion mutants. Hereditas(Beijing), 2019, 41(12): 1148-1155. |
| [8] | 李楠, 李亚娟, 郭海滨,张向前. Ds插入突变体的遗传学综合性实验设计与探讨. 遗传, 2019, 41(12): 1148-1155. |
| [9] | Song YK, Zhang M, Wang QC, Peng YL, Jia FX, Yu CH.Laboratory design and practice for undergraduates: Using RNAi to modulate gene expression. Hereditas(Beijing), 2019, 41(7): 653-661. |
| [9] | 宋亚坤, 张敏, 王翘楚, 彭玉荔, 贾方兴, 余春红. 利用RNA干扰技术沉默基因表达在本科实验教学中的设计与实践. 遗传, 2019, 41(7): 653-661. |
| [10] | Zhao N, Yuan B, Dong QL, Wang XL.The applications of research progress of common wheat in teaching genetics. Hereditas(Beijing), 2020, 42(9): 916-925. |
| [10] | 赵娜, 亓宝, 董芊里, 王晓丽. 普通小麦相关研究进展在遗传学理论教学中的应用. 遗传, 2020, 42(9): 916-925. |
| [11] | Wang T, Liang L, Zheng MH.Application of formative evaluation and teaching feedback in PBL teaching of Medical Genetics. Hereditas(Beijing), 2020, 42(8): 810-816. |
| [11] | 王涛, 梁亮, 郑敏化. 形成性评价与教学反馈在医学遗传学PBL教学中的应用. 遗传, 2020, 42(8): 810-816. |
| [12] | Wang CM, Sun YL, Lin CJ, Wang MY, Niu Y, Li XF, Feng HY.How to deduce the seven basic class asci of ordered tetrads in Neurospora. Hereditas(Beijing), 2019, 41(11): 1067-1072. |
| [12] | 王春明, 孙英莉, 林昌俊, 王铭裕, 牛月, 李晓峰, 冯虎元. 粗糙脉孢菌7种子囊型归类教学探究.遗传, 2019, 41(11): 1067-1072. |
| [13] | Griffiths AJF, Wessler SR, Carroll SB, Doebley J. Introduction to Genetic Analysis. 11th ed.2015, New York: W.H. Freeman and Company. |
| [14] | Snustad DP, Simmons MJ. Principles of Genetics. 7th ed.2016: John Wiley & Sons, Inc. |
/
| 〈 |
|
〉 |