特罗特作品集:米尔德里德-特罗特毛发研究回顾及人类变异研究的最新进展

IF 1.7 2区 生物学 Q1 ANTHROPOLOGY
Sandra L. Koch, Arslan Zaidi, Tomás González, Mark D. Shriver, Nina G. Jablonski
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引用次数: 0

摘要

米尔德里德-特罗特(Mildred Trotter)是一位解剖学家和体质人类学家,她对毛发形态、生长、体质分布以及毛发特征与年龄和人种的关系的研究,是毛发显微分析领域的奠基人。她为自己的研究收集的人类毛发样本一直是人类毛发变异研究中未被充分利用的资源。我们采用了最新的方法并回顾了 Trotter 的原始数据,以重新评估毛发特征与不同人群标签之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Trotter collection: A review of Mildred Trotter's hair research and an update for studies of human variation

The Trotter collection: A review of Mildred Trotter's hair research and an update for studies of human variation

The Trotter collection: A review of Mildred Trotter's hair research and an update for studies of human variation

Objectives

Mildred Trotter was an anatomist and physical anthropologist whose studies on hair morphology, growth, somatic distribution, and trait relationships to age and ethnogeographic population were foundational to the field of microscopical hair analysis. The collection of human hair samples she assembled for her research has been an underutilized resource for studies on human hair variation. We applied updated methods and reviewed Trotter's original data to reassess the relationship hair traits have to diverse population labels.

Methods

Hair form and pigmentation patterns were measured from a subset of the hair samples accumulated by Trotter and we compared our data to Trotter's original results. Variability in hair traits were tested within individuals, within populations, and among ethnogeographic groups.

Results

Measured hair cross-section dimensions and melanosome density and distribution revealed substantial variability within individuals and ethnogeographic populations. Hair traits were found to not be distinctly separable by ancestry but instead showed continuous variation across human populations. Trotter's measurements were precise and the dataset she compiled remains valid, though the conclusions should be reviewed in light of our current understanding of human variation.

Discussion

Our findings support moving away from categorical ancestry classifications and eliminating the use of outdated racial typologies in favor of more descriptive trait analysis. Detailed analysis of trait pattern distributions are presented that may be useful for future research on human variation. We point to the need for additional research on human variation and hair trait relationships with reference to known population affinity.

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