Functional connectivity and home range inferred at a microgeographic landscape genetics scale in a desert-dwelling rodent
Functional connectivity and home range inferred at a microgeographic landscape genetics scale in a desert-dwelling rodent
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DOI：
10.1002/ece3.4762
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发表时间：
2019-01-01
影响因子：
2.6
通讯作者：
Vazquez-Dominguez, Ella
中科院分区：
文献类型：
--
作者：
Flores-Manzanero, Alejandro;Luna-Barcenas, Madisson A.;Vazquez-Dominguez, Ella
动物体内的基因流动受到它们所居住的景观矩阵内不同特征的限制或促进。景观遗传学（LG）中的景观表示传统上被建模为阻力表面（RS），其中需要新的优化方法来分配阻力值，充分避免主观性。此外，荒漠生态系统和哺乳动物在LG研究中几乎没有代表。我们解决了这些问题，通过评估，在微地理尺度上，景观功能的沙漠居住的Dipodomys merriami的功能连接的影响。我们的特点是遗传多样性和结构与微卫星位点，估计家庭范围和运动的个人使用遥测的第一个与啮齿类动物，产生了一组个人和复合环境表面的基础上的假设变量影响运动，并评估这些变量如何与个人为基础的基因流。遗传多样性和结构的结果证明了家庭诱导的模式驱动的一阶相关的个人，特别是决定景观遗传推断。植被覆盖度和土壤阻力优化表面（NDVI）是最好的支持模型和个体遗传距离的显着预测，其次是湿度和NDVI+湿度。基于专题分辨率的准确定义，我们还表明，植被更好地表示为连续（与分类）分布。因此，通过遥感和遥测的非主观优化框架，我们能够描述植被覆盖、土壤质地和气候变量对D的影响。merriami的功能连接在微观地理尺度上，模式，我们可以进一步解释的基础上，家庭范围，栖息地的使用，和两性之间观察到的活动。我们描述了环境特征与D.梅里亚米的行为和生理
Gene flow in animals is limited or facilitated by different features within the landscape matrix they inhabit. The landscape representation in landscape genetics (LG) is traditionally modeled as resistance surfaces (RS), where novel optimization approaches are needed for assigning resistance values that adequately avoid subjectivity. Also, desert ecosystems and mammals are scarcely represented in LG studies. We addressed these issues by evaluating, at a microgeographic scale, the effect of landscape features on functional connectivity of the desert-dwelling Dipodomys merriami. We characterized genetic diversity and structure with microsatellites loci, estimated home ranges and movement of individuals using telemetry-one of the first with rodents, generated a set of individual and composite environmental surfaces based on hypotheses of variables influencing movement, and assessed how these variables relate to individual-based gene flow. Genetic diversity and structure results evidenced a family-induced pattern driven by first-order-related individuals, notably determining landscape genetic inferences. The vegetation cover and soil resistance optimized surface (NDVI) were the best-supported model and a significant predictor of individual genetic distance, followed by humidity and NDVI+humidity. Based on an accurate definition of thematic resolution, we also showed that vegetation is better represented as continuously (vs. categorically) distributed. Hence, with a nonsubjective optimization framework for RS and telemetry, we were able to describe that vegetation cover, soil texture, and climatic variables influence D. merriami's functional connectivity at a microgeographic scale, patterns we could further explain based on the home range, habitat use, and activity observed between sexes. We describe the relationship between environmental features and some aspects of D. merriami's behavior and physiology.