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旅鼠和田鼠种群数量周期:一种新的内在模型。

Lemming and Vole Cycles: A New Intrinsic Model.

作者信息

Levay Elizabeth A, Nasser Helen, Zelko Matthew D, Penman Jim, Johns Terrance G

机构信息

School of Psychology and Public Health La Trobe University Melbourne Victoria Australia.

Epigenes Australia Pty Ltd Melbourne Victoria Australia.

出版信息

Ecol Evol. 2024 Oct 21;14(10):e70440. doi: 10.1002/ece3.70440. eCollection 2024 Oct.

Abstract

It is 100 years since the first paper described the multiannual cycles in Arctic rodents and lagomorphs. The mechanisms driving population cycles in animals like lemmings and voles are complex, often attributed to extrinsic factors, such as food availability and quality, pathogens, parasites and/or predators. While extrinsic factors provide insights into population cycles, none fully explain the phenomenon. We propose an underlying innate, intrinsic mechanism, based on epigenetic regulation, that drives population cycles under harsh arctic conditions. We propose that epigenetically driven phenotypic changes associated with sexual development, growth and behaviour accumulate over time in offspring, eventually producing a phase change from rising population density to eventual population collapse. Under this hypothesis, and unlike previous hypotheses, extrinsic factors modify population cycles but would not be primary drivers. The interaction between our intrinsic cycle and extrinsic factors explains established phenomena like delayed-density dependence, whereby population growth is controlled by time-dependent negative feedback. We advocate integrating a century of field research with the latest epigenetic analysis to better understand the drivers of population cycles.

摘要

自第一篇描述北极啮齿动物和兔形目动物多年周期的论文发表以来,已经过去了100年。像旅鼠和田鼠等动物种群周期的驱动机制很复杂,通常归因于外部因素,如食物的可获得性和质量、病原体、寄生虫和/或捕食者。虽然外部因素为种群周期提供了见解,但没有一个能完全解释这一现象。我们提出了一种基于表观遗传调控的潜在内在机制,该机制在恶劣的北极条件下驱动种群周期。我们认为,与性发育、生长和行为相关的表观遗传驱动的表型变化会在后代中随着时间的推移而积累,最终导致种群密度从上升到最终崩溃的阶段变化。在这一假设下,与之前的假设不同,外部因素会改变种群周期,但不是主要驱动因素。我们的内在周期与外部因素之间的相互作用解释了诸如延迟密度依赖等既定现象,即种群增长由时间依赖性负反馈控制。我们主张将一个世纪的实地研究与最新的表观遗传分析相结合,以更好地理解种群周期的驱动因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d317/11493491/5d4b204f4d70/ECE3-14-e70440-g005.jpg

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