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本文引用的文献

1
Daily Torpor in Birds and Mammals: Past, Present, and Future of the Field.鸟类和哺乳动物的日常蛰伏:该领域的过去、现在与未来
Integr Comp Biol. 2023 Jul 7. doi: 10.1093/icb/icad095.
2
Widespread Torpor Use in Hummingbirds from the Thermally Stable Lowland Tropics.蜂鸟广泛使用蛰眠以应对低热稳定的低地热带环境。
Physiol Biochem Zool. 2023 Mar-Apr;96(2):119-127. doi: 10.1086/722477. Epub 2023 Jan 6.
3
A heterothermic spectrum in hummingbirds.蜂鸟的异温性频谱。
J Exp Biol. 2022 Jan 15;225(2). doi: 10.1242/jeb.243208. Epub 2022 Jan 27.
4
Reversal of the adipostat control of torpor during migration in hummingbirds.蜂鸟在迁徙期间通过脂肪体控制进入蛰伏状态的逆转。
Elife. 2021 Dec 6;10:e70062. doi: 10.7554/eLife.70062.
5
Adipokines in metabolic and reproductive functions in birds: An overview of current knowns and unknowns.鸟类代谢与生殖功能中的脂肪因子:当前已知与未知情况概述
Mol Cell Endocrinol. 2021 Aug 20;534:111370. doi: 10.1016/j.mce.2021.111370. Epub 2021 Jun 23.
6
Poor nutritional condition promotes high-risk behaviours: a systematic review and meta-analysis.营养状况不佳会助长高危行为:一项系统评价与荟萃分析。
Biol Rev Camb Philos Soc. 2021 Feb;96(1):269-288. doi: 10.1111/brv.12655. Epub 2020 Oct 5.
7
Extreme and variable torpor among high-elevation Andean hummingbird species.高海拔安第斯蜂鸟物种中极端且多变的休眠状态。
Biol Lett. 2020 Sep;16(9):20200428. doi: 10.1098/rsbl.2020.0428. Epub 2020 Sep 9.
8
A review of robust regression in biomedical science research.生物医学科学研究中的稳健回归综述。
Arch Med Sci. 2019 Aug 6;16(5):1267-1269. doi: 10.5114/aoms.2019.86184. eCollection 2020.
9
The allometry of daily energy expenditure in hummingbirds: An energy budget approach.蜂鸟每日能量消耗的异速生长:能量预算法。
J Anim Ecol. 2020 May;89(5):1254-1261. doi: 10.1111/1365-2656.13185. Epub 2020 Feb 28.
10
Avian Leptin: Bird's-Eye View of the Evolution of Vertebrate Energy-Balance Control.禽类瘦素:脊椎动物能量平衡控制演化的鸟瞰图。
Trends Endocrinol Metab. 2019 Nov;30(11):819-832. doi: 10.1016/j.tem.2019.07.007.

蜂鸟的脂肪稳态:一个简单的规则能解释蜂鸟的蛰伏频率和时长吗?

The hummingbird's adipostat: can a simple rule explain torpor frequency and duration in hummingbirds?

作者信息

Halter Shayne R, Wolf Blair O, Martinez Del Rio Carlos

机构信息

Department of Biology, University of New Mexico, Albuquerque, NM 87131-0001, USA.

Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA.

出版信息

Proc Biol Sci. 2025 Jan;292(2038):20242489. doi: 10.1098/rspb.2024.2489. Epub 2025 Jan 15.

DOI:10.1098/rspb.2024.2489
PMID:39809315
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11732420/
Abstract

Because hummingbirds are small and have an expensive mode of locomotion, they have constrained energy budgets. Torpor is used to buffer against these energetic challenges, but its frequency and duration vary. We measured lipid content, metabolic rates and torpor use in two species of migrating hummingbirds, calliope () and rufous hummingbirds () at a stopover site. We constructed a mass-balance model to predict lipid thresholds for torpor entry, torpor duration and minimum morning lipid reserves. Hummingbirds entered torpor if their lipid contents were below a sharply defined threshold. Torpor duration increased as initial lipid content decreased, and birds that entered torpor had relatively constant morning lipid reserves. We propose a minimum morning reserve hypothesis that identifies torpor lipid thresholds and predicts frequency and duration. Several hypotheses were proposed previously to explain torpor's ultimate function, which can be derived as special cases that result from modifying our mass balance model's parameters. Torpor entails a balance between energy savings and the non-energetic risks of torpor, such as predation and physiological stress. We assessed energy equivalents of the non-energetic costs of torpor by accounting for the energetic costs and benefits of torpor, and by documenting its occurrence and length.

摘要

由于蜂鸟体型小巧且运动方式耗能高,它们的能量预算受到限制。蛰伏状态被用来应对这些能量挑战,但其频率和持续时间各不相同。我们在一个中途停留地测量了两种迁徙蜂鸟——红玉喉北蜂鸟(Calliope)和棕煌蜂鸟(Rufous)的脂质含量、代谢率以及蛰伏状态的使用情况。我们构建了一个质量平衡模型来预测进入蛰伏状态的脂质阈值、蛰伏持续时间以及早晨的最低脂质储备。如果蜂鸟的脂质含量低于一个明确界定的阈值,它们就会进入蛰伏状态。蛰伏持续时间随着初始脂质含量的降低而增加,进入蛰伏状态的鸟类早晨的脂质储备相对恒定。我们提出了一个最低早晨储备假说,该假说确定了蛰伏脂质阈值,并预测了频率和持续时间。之前有人提出了几个假说来解释蛰伏的最终功能,这些假说可以作为修改我们质量平衡模型参数后产生的特殊情况推导出来。蛰伏需要在节省能量与蛰伏带来的非能量风险(如被捕食和生理应激)之间取得平衡。我们通过考虑蛰伏的能量成本和收益,并记录其发生情况和时长,来评估蛰伏非能量成本的能量当量。