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Variation in human hair ultrastructure among three biogeographic populations.
Koch, Sandra L; Shriver, Mark D; Jablonski, Nina G.
  • Koch SL; Pennsylvania State University, Department of Anthropology, United States. Electronic address: skoch@mccrone.com.
  • Shriver MD; Pennsylvania State University, Department of Anthropology, United States.
  • Jablonski NG; Pennsylvania State University, Department of Anthropology, United States.
J Struct Biol ; 205(1): 60-66, 2019 01 01.
Article en En | MEDLINE | ID: mdl-30472170
Human scalp hairs are often examined microscopically to study the variation and diversity among a range of visible morphological traits. In this study, we focused on the ultrastructure of human scalp hair within its keratinized matrix, emphasizing, the density and distribution of melanosomes, variation in cuticle thickness within populations, and the relationship of hair fiber ultrastructure with biogeographic ancestry. We used transmission electron microscopy (TEM) to visualize hair cross-sections and generate micron-scale resolution images for analysis of particle morphology and the layered hair matrix. Our results revealed considerable variation in all parameters examined, including the relationship of ultrastructure to biogeographic ancestry. Among the three metapopulations studied (European, African, and East Asian), we identified hair cross-sectional shape, cuticle dimensions, and melanosome distribution as traits that reveal statistically significant ancestry-related patterns. This study establishes trait patterns in hair morphology and ultrastructure among three biogeographically defined metapopulations to improve the current understanding of human variation in hair form and establish a foundation for future studies on the genetic and developmental bases of phenotypic variation in hair ultrastructure related to genotype.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Grupos de Población / Variación Biológica Poblacional / Cabello Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Grupos de Población / Variación Biológica Poblacional / Cabello Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article