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本文引用的文献

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2
Standing genetic variation fuels rapid adaptation to ocean acidification.立即可遗传变异为快速适应海洋酸化提供动力。
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3
Standing genetic variation as the predominant source for adaptation of a songbird.作为鸣禽适应的主要来源的遗传变异。
Proc Natl Acad Sci U S A. 2019 Feb 5;116(6):2152-2157. doi: 10.1073/pnas.1813597116. Epub 2019 Jan 18.
4
Landscape genomics provides evidence of climate-associated genetic variation in Mexican populations of .景观基因组学为墨西哥种群中与气候相关的遗传变异提供了证据。 (原文句末不完整,缺少具体物种名称)
Evol Appl. 2018 Aug 31;11(10):1842-1858. doi: 10.1111/eva.12684. eCollection 2018 Dec.
5
Ecological genomics predicts climate vulnerability in an endangered southwestern songbird.生态基因组学预测濒危西南鸣禽对气候的脆弱性。
Ecol Lett. 2018 Jul;21(7):1085-1096. doi: 10.1111/ele.12977. Epub 2018 May 9.
6
Applying landscape genomic tools to forest management and restoration of Hawaiian koa () in a changing environment.在不断变化的环境中,将景观基因组学工具应用于夏威夷寇阿相思树(koa)的森林管理与恢复。
Evol Appl. 2017 Sep 6;11(2):231-242. doi: 10.1111/eva.12534. eCollection 2018 Feb.
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Genomic signals of selection predict climate-driven population declines in a migratory bird.选择的基因组信号预测了一种候鸟因气候变化导致的种群减少。
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9
Genomic divergence across ecological gradients in the Central African rainforest songbird (Andropadus virens).中非雨林鸣禽(绿翅斑腹雀)在生态梯度上的基因组分化
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GEOMETRIC MORPHOMETRICS OF DEVELOPMENTAL INSTABILITY: ANALYZING PATTERNS OF FLUCTUATING ASYMMETRY WITH PROCRUSTES METHODS.发育不稳定性的几何形态测量学:用普洛克斯方法分析波动不对称模式
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降水和植被塑造了中非啮齿动物基因组和颅测量变异的模式。

Precipitation and vegetation shape patterns of genomic and craniometric variation in the central African rodent .

机构信息

Department of Biological Sciences, University of New Orleans, New Orleans, LA, USA.

Département de Biologie, Université des Sciences et Techniques de Masuku, Franceville, Gabon.

出版信息

Proc Biol Sci. 2020 Jul 8;287(1930):20200449. doi: 10.1098/rspb.2020.0449.

DOI:10.1098/rspb.2020.0449
PMID:32635865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7423474/
Abstract

Predicting species' capacity to respond to climate change is an essential first step in developing effective conservation strategies. However, conservation prioritization schemes rarely take evolutionary potential into account. Ecotones provide important opportunities for diversifying selection and may thus constitute reservoirs of standing variation, increasing the capacity for future adaptation. Here, we map patterns of environmentally associated genomic and craniometric variation in the central African rodent to identify areas with the greatest turnover in genomic composition. We also project patterns of environmentally associated genomic variation under future climate change scenarios to determine where populations may be under the greatest pressure to adapt. While precipitation gradients influence both genomic and craniometric variation, vegetation structure is also an important determinant of craniometric variation. Areas of elevated environmentally associated genomic and craniometric variation overlap with zones of rapid ecological transition underlining their importance as reservoirs of evolutionary potential. We also find that populations in the Sanaga river basin, central Cameroon and coastal Gabon are likely to be under the greatest pressure from climate change. Lastly, we make specific conservation recommendations on how to protect zones of high evolutionary potential and identify areas where populations may be the most susceptible to climate change.

摘要

预测物种应对气候变化的能力是制定有效保护策略的重要第一步。然而,保护优先级方案很少考虑进化潜力。生态交错带为多样化选择提供了重要机会,因此可能构成遗传变异的储备库,增加了未来适应的能力。在这里,我们绘制了中非啮齿动物的环境相关基因组和颅骨形态变异模式,以确定基因组组成变化最大的区域。我们还根据未来气候变化情景预测环境相关基因组变异的模式,以确定哪些种群可能面临最大的适应压力。虽然降水梯度会影响基因组和颅骨形态的变异,但植被结构也是颅骨形态变异的一个重要决定因素。高环境相关基因组和颅骨形态变异的区域与快速生态过渡区重叠,这突出了它们作为进化潜力储备库的重要性。我们还发现,喀麦隆中部的萨纳加河流域和加蓬沿海地区的种群可能受到气候变化的最大压力。最后,我们提出了如何保护高进化潜力区的具体保护建议,并确定了种群最容易受到气候变化影响的地区。