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墨西哥湖泊中生活的脂鲤科鱼类的功能模块性。

Functional modularity in lake-dwelling characin fishes of Mexico.

作者信息

Ornelas-García Claudia Patricia, Bautista Amando, Herder Fabian, Doadrio Ignacio

机构信息

Colección Nacional de Peces, Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Mexico.

Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico.

出版信息

PeerJ. 2017 Sep 22;5:e3851. doi: 10.7717/peerj.3851. eCollection 2017.

Abstract

Modular evolution promotes evolutionary change, allowing independent variation across morphological units. Recent studies have shown that under contrasting ecological pressures, patterns of modularity could be related to divergent evolution. The main goal of the present study was to evaluate the presence of modular evolution in two sister lacustrine species, and , which are differentiated by their trophic habits. Two different datasets were analyzed: (1) skull X-rays from 73 specimens (35 and 38 ) to characterize skull variation patterns, considering both species and sex effects. For this dataset, three different modularity hypotheses were tested, previously supported in other lacustrine divergent species; (2) a complete body shape dataset was also tested for four modularity hypotheses, which included a total of 196 individuals (110 and 86 ). Skull shape showed significant differences among species and sex ( < 0.001), where species showed an upwardly projected mandible and larger preorbital region. For the skull dataset, the modularity hypothesis ranked first included three partitioning modules. While for the complete body dataset the best ranked hypothesis included two modules (head vs the rest of the body), being significant only for .

摘要

模块化进化促进进化变化,允许形态学单元之间独立变异。最近的研究表明,在不同的生态压力下,模块化模式可能与趋异进化有关。本研究的主要目标是评估两个姐妹湖栖物种X和Y中模块化进化的存在情况,这两个物种因其食性而有所区别。分析了两个不同的数据集:(1)73个标本(35个X和38个Y)的颅骨X光片,以表征颅骨变异模式,同时考虑物种和性别效应。对于该数据集,测试了三种不同的模块化假说,这些假说先前在其他湖栖趋异物种中得到支持;(2)还针对四种模块化假说测试了一个完整的体型数据集,该数据集共有196个个体(110个X和86个Y)。颅骨形状在物种和性别之间存在显著差异(P<0.001),其中X物种的下颌向上突出且眶前区域更大。对于颅骨数据集,排名第一的模块化假说包括三个划分模块。而对于完整的体型数据集,排名最佳的假说包括两个模块(头部与身体其他部分),仅对X物种具有显著性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf1e/5611896/bbe7c8ceedd6/peerj-05-3851-g003.jpg

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