Studies of inheritance in amoebae by the technique of nuclear transfer

Author:

Abstract

The methods of classical genetics depend essentially on the reassortment of genes which occurs as a result of meiotic and mating processes. These methods are of great elegance and great power. Upon their success our present theory of inheritance depends. But these methods also have certain weaknesses. These include the following points (1) The study of non-chromosomal inheritance is laborious, though of course not impossible, as has been demonstrated by the remarkable studies of Michaelis (1954). (2) In many instances the setting of the scene for meiosis, and the developments after mating, involve drastic reorganization of the cytoplasm in ways which are unfavourable for detailed analysis of cytoplasmic inheritance. (3) Where mating and meiotic processes do not occur, the classical methods of genetics are useless. This means, for example, that the manifest differences between cell lineages which appear in the course of development cannot be studied by these methods, and to particularize, many of the genetical aspects of malignant growth cannot be analyzed. For reasons such as these I decided about 10 years ago to attempt the study of inheritance by transferring nuclei from cell to cell. In the development of such a programme it is convenient to distinguish between ( a ) the problems of the origin of differentiated cells from a common ancestral cell in the absence of genetic recombination, and ( b ) the problem of maintenance of a given constant state of differentiation.

Publisher

The Royal Society

Subject

General Medicine

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3