Nikolai Koltsov and his work, which anticipated many ideas in modern cellular and molecular biology, genetics, and epigenetics. Toward the 100th anniversary of the concept of template biosynthesis

IF 2.1 4区 生物学 Q2 BIOLOGY
Biosystems Pub Date : 2026-01-01 Epub Date: 2025-11-08 DOI:10.1016/j.biosystems.2025.105646
Alexander S. Ermakov
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引用次数: 0

Abstract

Nikolai Konstantinovich Koltsov (1872–1940) lived and worked in an epoch when biology was rapidly transitioning from a descriptive to an experimental science. Koltsov foresaw and, to some extent, predetermined the development of the most important areas of modern biology: evolutionary genetics and synthetic theory of evolution, mutagenesis, human genetics, cellular and molecular biology, developmental genetics, developmental biology, and epigenetics. He had visionary ideas about "template synthesis", which underlies the process of copying genes and the possible involvement of methylation in the modification of molecules of biological inheritance. For political reasons, the development of his scientific school in the USSR was terminated, and his name was forgotten for several decades. The scientific legacy of Nikolai Koltsov remains relevant in our days.
Nikolai Koltsov和他的工作,它预测了现代细胞和分子生物学,遗传学和表观遗传学的许多思想。迈向模板生物合成概念的100周年。
尼古拉·康斯坦丁诺维奇·科尔佐夫(Nikolai Konstantinovich Koltsov, 1872-1940)生活和工作的时代,生物学正迅速从一门描述科学过渡到一门实验科学。科尔佐夫预见并在某种程度上预先确定了现代生物学最重要领域的发展:进化遗传学和进化合成理论、诱变、人类遗传学、细胞和分子生物学、发育遗传学、发育生物学和表观遗传学。他对“模板合成”有远见卓识,这是基因复制过程和甲基化可能参与生物遗传分子修饰的基础。由于政治原因,他的科学学校在苏联的发展被终止,他的名字被遗忘了几十年。尼古拉·科尔佐夫的科学遗产在我们这个时代仍然具有现实意义。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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