Correlated evolution between body size and echolocation in bats (order Chiroptera)

人体回声定位 异速滴定 生物 进化生物学 生物声学 带宽(计算) 缩放比例 动物 生态学 声学 数学 计算机科学 物理 电信 神经科学 几何学
作者
Mario G. Castro,Talita Ferreira Amado,Miguel Á. Olalla‐Tárraga
出处
期刊:BMC ecology and evolution [Springer Nature]
卷期号:24 (1) 被引量:2
标识
DOI:10.1186/s12862-024-02231-4
摘要

Abstract Background Body size and echolocation call frequencies are related in bats. However, it is unclear if this allometry applies to the entire clade. Differences have been suggested between nasal and oral emitting bats, as well as between some taxonomic families. Additionally, the scaling of other echolocation parameters, such as bandwidth and call duration, needs further testing. Moreover, it would be also interesting to test whether changes in body size have been coupled with changes in these echolocation parameters throughout bat evolution. Here, we test the scaling of peak frequency, bandwidth, and call duration with body mass using phylogenetically informed analyses for 314 bat species. We specifically tested whether all these scaling patterns differ between nasal and oral emitting bats. Then, we applied recently developed Bayesian statistical techniques based on large-scale simulations to test for the existence of correlated evolution between body mass and echolocation. Results Our results showed that echolocation peak frequencies, bandwidth, and duration follow significant allometric patterns in both nasal and oral emitting bats. Changes in these traits seem to have been coupled across the laryngeal echolocation bats diversification. Scaling and correlated evolution analyses revealed that body mass is more related to peak frequency and call duration than to bandwidth. We exposed two non-exclusive kinds of mechanisms to explain the link between size and each of the echolocation parameters. Conclusions The incorporation of Bayesian statistics based on large-scale simulations could be helpful for answering macroevolutionary patterns related to the coevolution of traits in bats and other taxonomic groups.
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