Amitosis as a strategy of cell division—Insight from the proliferation of Tetrahymena thermophila macronuclei

IF 1.2 4区 生物学 Q4 ECOLOGY
Yun-Xin Fu , Guangying Wang , Kai Chen , Xuefeng Ma , Shu-Qun Liu , Wei Miao
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Abstract

Cell division is a necessity of life which can be either mitotic or amitotic. While both are fundamental, amitosis is sometimes considered a relic of little importance in biology. Nevertheless, eukaryotes often have polyploid cells, including cancer cells, which may divide amitotically. To understand how amitosis ensures the completion of cell division, we turn to the macronuclei of ciliates. The grand scheme governing the proliferation of the macronuclei of ciliate cells, which involves chromosomal replication and amitosis, is currently unknown, which is crucial for developing population genetics model of ciliate populations. Using a novel model that encompasses a wide range of mechanisms together with experimental data of the composition of mating types at different stages derived from a single karyonide of Tetrahymena thermophila, we show that the chromosomal replication of the macronucleus has a strong head-start effect, with only about five copies of chromosomes replicated at a time and persistent reuse of the chromosomes involved in the early replication. Furthermore the fission of a fully grown macronucleus is non-random with regard to chromosome composition, with a strong tendency to push chromosomes and their replications to the same daughter cell.

无丝分裂是细胞分裂的一种策略——从嗜热四膜虫大核的增殖看
细胞分裂是生命的必要过程,可以是有丝分裂也可以是无丝分裂。虽然两者都是基本的,但无丝分裂有时被认为是生物学中不太重要的遗迹。然而,真核生物通常具有多倍体细胞,包括癌细胞,它们可以无丝分裂。为了理解无丝分裂如何确保细胞分裂的完成,我们转向纤毛虫的大核。目前尚不清楚纤毛虫细胞的大核增殖机制,包括染色体复制和无丝分裂,这对建立纤毛虫群体遗传学模型至关重要。利用一个包含广泛机制的新模型以及来自嗜热四膜虫单个核单体的不同阶段交配类型组成的实验数据,我们表明,大核的染色体复制具有很强的抢先效应,一次只复制大约5个染色体拷贝,并且染色体的持续重复使用参与了早期复制。此外,就染色体组成而言,完全成熟的巨核的裂变是非随机的,具有将染色体及其复制推到同一子细胞的强烈倾向。
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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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