Comparison of dental topography of marmosets and tamarins (Callitrichidae) to other platyrrhine primates using a novel freeware pipeline

Comparison of dental topography of marmosets and tamarins (Callitrichidae) to other platyrrhine primates using a novel freeware pipeline
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使用新型免费软件管道比较狨猴和狨猴(Callitrichidae)与其他阔鼻灵长类动物的牙齿地形

DOI:
10.1101/2023.08.31.555703
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发表时间:
2023
期刊:
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通讯作者:
De Vries D
De Vries D
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作者:
De Vries D

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牙齿地形测量(DTM),量化牙齿形状的不同方面,是研究哺乳动物饮食适应和进化的有力工具。目前的DTM协议通常依赖于专有软件,由于成本原因,研究人员可能无法获得这些软件。我们在灵长类进化枝Platyrrhini(“新世界猴”)的DTM分析的背景下解决这个问题:1)提出了一个大的比较样本的扫描第二下臼齿(m2 s)的callitrichids(绒猴和绢毛猴),以前在公开可用的数据集代表不足;和2)给出了一个完全免费的DTM分析及其验证的管道的全部细节。我们还提出了一个更新的饮食分类方案,现存的阔鼻鱼,基于聚类分析的饮食数据提取的98个主要研究。我们的免费软件管道在现有的阔鼻m2 s(不包括Callitrichids)样本的饮食分类准确性方面表现同样出色,因为当组合多个DTM时,该协议使用专有软件。然而,个别DTM,有时表现出非常不同的结果,在协议之间的分类精度,最有可能是由于平滑功能的差异。此外,callitrichids导致在预测饮食与组合的DTM的分类准确性高,虽然准确性是相当高的摩尔大小时,包括(90%)比排除(73%)。我们的结论是,我们的新的免费DTM管道是能够准确地预测饮食的扁鼻类的牙齿形状和大小的基础上,因此是适合推断可能的饮食类群的直接饮食信息是不可用的,如化石物种。
Dental topographic metrics (DTMs), which quantify different aspects of the shape of teeth, are powerful tools for studying dietary adaptation and evolution in mammals. Current DTM protocols usually rely on proprietary software, which may be unavailable to researchers for reasons of cost. We address this issue in the context of a DTM analysis of the primate clade Platyrrhini (“New World monkeys”) by: 1) presenting a large comparative sample of scanned second lower molars (m2s) of callitrichids (marmosets and tamarins), previously underrepresented in publicly available datasets; and 2) giving full details of an entirely freeware pipeline for DTM analysis and its validation. We also present an updated dietary classification scheme for extant platyrrhines, based on cluster analysis of dietary data extracted from 98 primary studies. Our freeware pipeline performs equally well in dietary classification accuracy of an existing sample of platyrrhine m2s (excluding callitrichids) as a published protocol that uses proprietary software when multiple DTMs are combined. Individual DTMs, however, sometimes showed very different results in classification accuracies between protocols, most likely due to differences in smoothing functions. The addition of callitrichids resulted in high classification accuracy in predicting diet with combined DTMs, although accuracy was considerably higher when molar size was included (90%) than excluded (73%). We conclude that our new freeware DTM pipeline is capable of accurately predicting diet in platyrrhines based on tooth shape and size, and so is suitable for inferring probable diet of taxa for which direct dietary information is unavailable, such as fossil species.
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