Population history and ecology, in addition to climate, influence human stature and body proportions

Abstract Worldwide variation in human stature and limb proportions is widely accepted to reflect thermal adaptation, but the contribution of population history to this variation is unknown. Furthermore, stature and relative lower limb length (LLL) show substantial plastic responses to environmental...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Emma Pomeroy, Jay T. Stock, Jonathan C. K. Wells
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/321e708b9c5a420fba4dc612386a62c1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:321e708b9c5a420fba4dc612386a62c1
record_format	dspace
spelling	oai:doaj.org-article:321e708b9c5a420fba4dc612386a62c12021-12-02T15:23:00ZPopulation history and ecology, in addition to climate, influence human stature and body proportions10.1038/s41598-020-79501-w2045-2322https://doaj.org/article/321e708b9c5a420fba4dc612386a62c12021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79501-whttps://doaj.org/toc/2045-2322Abstract Worldwide variation in human stature and limb proportions is widely accepted to reflect thermal adaptation, but the contribution of population history to this variation is unknown. Furthermore, stature and relative lower limb length (LLL) show substantial plastic responses to environmental stressors, e.g., nutrition, pathogen load, which covary with climate. Thus ecogeographic patterns may go beyond temperature-based selection. We analysed global variation in stature, sitting height and absolute and relative LLL using large worldwide samples of published anthropometric data from adult male (n = 571) and female (n = 268) populations in relation to temperature, humidity, and net primary productivity (NPP). Population history was modeled using spatial eigenvector mapping based on geographic distances reflecting the hypothesized pattern for the spread of modern humans out of Africa. Regression models account for ~ 50% of variation in most morphological variables. Population history explains slightly more variation in stature, sitting height and LLL than the environmental/climatic variables. After adjusting for population history, associations between (usually maximum) temperature and LLL are consistent with Allen's "rule" and may drive similar relationships with stature. NPP is a consistent negative predictor of anthropometry, which may reflect the growth-limiting effects of lower environmental resource accessibility (inversely related to NPP) and/or pathogen load.Emma PomeroyJay T. StockJonathan C. K. WellsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Emma Pomeroy Jay T. Stock Jonathan C. K. Wells Population history and ecology, in addition to climate, influence human stature and body proportions
description	Abstract Worldwide variation in human stature and limb proportions is widely accepted to reflect thermal adaptation, but the contribution of population history to this variation is unknown. Furthermore, stature and relative lower limb length (LLL) show substantial plastic responses to environmental stressors, e.g., nutrition, pathogen load, which covary with climate. Thus ecogeographic patterns may go beyond temperature-based selection. We analysed global variation in stature, sitting height and absolute and relative LLL using large worldwide samples of published anthropometric data from adult male (n = 571) and female (n = 268) populations in relation to temperature, humidity, and net primary productivity (NPP). Population history was modeled using spatial eigenvector mapping based on geographic distances reflecting the hypothesized pattern for the spread of modern humans out of Africa. Regression models account for ~ 50% of variation in most morphological variables. Population history explains slightly more variation in stature, sitting height and LLL than the environmental/climatic variables. After adjusting for population history, associations between (usually maximum) temperature and LLL are consistent with Allen's "rule" and may drive similar relationships with stature. NPP is a consistent negative predictor of anthropometry, which may reflect the growth-limiting effects of lower environmental resource accessibility (inversely related to NPP) and/or pathogen load.
format	article
author	Emma Pomeroy Jay T. Stock Jonathan C. K. Wells
author_facet	Emma Pomeroy Jay T. Stock Jonathan C. K. Wells
author_sort	Emma Pomeroy
title	Population history and ecology, in addition to climate, influence human stature and body proportions
title_short	Population history and ecology, in addition to climate, influence human stature and body proportions
title_full	Population history and ecology, in addition to climate, influence human stature and body proportions
title_fullStr	Population history and ecology, in addition to climate, influence human stature and body proportions
title_full_unstemmed	Population history and ecology, in addition to climate, influence human stature and body proportions
title_sort	population history and ecology, in addition to climate, influence human stature and body proportions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/321e708b9c5a420fba4dc612386a62c1
work_keys_str_mv	AT emmapomeroy populationhistoryandecologyinadditiontoclimateinfluencehumanstatureandbodyproportions AT jaytstock populationhistoryandecologyinadditiontoclimateinfluencehumanstatureandbodyproportions AT jonathanckwells populationhistoryandecologyinadditiontoclimateinfluencehumanstatureandbodyproportions
_version_	1718387315742605312

Population history and ecology, in addition to climate, influence human stature and body proportions

Ejemplares similares