Technical note: A linear model for predicting δ13Cprotein

William Pestle, Mark Hubbe, Erin K. Smith, Joseph M. Stevenson

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Objective: Development of a model for the prediction of δ13Cprotein from δ13Ccollagen and Δ13Cap-co. Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet. Methods: Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ13Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ13Cco and Δ13Cap-co). Results: Regression analysis resulted in a two-term linear model (δ13Cprotein (%) = (0.78 × δ13Cco) - (0.58× Δ13Cap-co) - 4.7), possessing a high R-value of 0.93 (r2 = 0.86, P <0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ13Cprotein. This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. Conclusions: The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.

Original languageEnglish (US)
Pages (from-to)694-703
Number of pages10
JournalAmerican Journal of Physical Anthropology
Volume157
Issue number4
DOIs
StatePublished - Aug 1 2015

Fingerprint

Dietary Proteins
linear model
Linear Models
Regression Analysis
Carbon Isotopes
Chile
Isotopes
Theoretical Models
Diet
regression analysis
Values
desert
Body Remains

Keywords

  • anatomy
  • behavior
  • bioarchaeology
  • ecology
  • human biology
  • physiology

ASJC Scopus subject areas

  • Anthropology
  • Anatomy

Cite this

Technical note : A linear model for predicting δ13Cprotein. / Pestle, William; Hubbe, Mark; Smith, Erin K.; Stevenson, Joseph M.

In: American Journal of Physical Anthropology, Vol. 157, No. 4, 01.08.2015, p. 694-703.

Research output: Contribution to journalArticle

Pestle, William ; Hubbe, Mark ; Smith, Erin K. ; Stevenson, Joseph M. / Technical note : A linear model for predicting δ13Cprotein. In: American Journal of Physical Anthropology. 2015 ; Vol. 157, No. 4. pp. 694-703.
@article{bbc2edc043714317b244d1e786d60365,
title = "Technical note: A linear model for predicting δ13Cprotein",
abstract = "Objective: Development of a model for the prediction of δ13Cprotein from δ13Ccollagen and Δ13Cap-co. Model-generated values could, in turn, serve as {"}consumer{"} inputs for multisource mixture modeling of paleodiet. Methods: Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ13Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ13Cco and Δ13Cap-co). Results: Regression analysis resulted in a two-term linear model (δ13Cprotein ({\%}) = (0.78 × δ13Cco) - (0.58× Δ13Cap-co) - 4.7), possessing a high R-value of 0.93 (r2 = 0.86, P <0.01), and experimentally generated error terms of ±1.9{\%} for any predicted individual value of δ13Cprotein. This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. Conclusions: The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.",
keywords = "anatomy, behavior, bioarchaeology, ecology, human biology, physiology",
author = "William Pestle and Mark Hubbe and Smith, {Erin K.} and Stevenson, {Joseph M.}",
year = "2015",
month = "8",
day = "1",
doi = "10.1002/ajpa.22743",
language = "English (US)",
volume = "157",
pages = "694--703",
journal = "American Journal of Physical Anthropology",
issn = "0002-9483",
publisher = "Wiley-Liss Inc.",
number = "4",

}

TY - JOUR

T1 - Technical note

T2 - A linear model for predicting δ13Cprotein

AU - Pestle, William

AU - Hubbe, Mark

AU - Smith, Erin K.

AU - Stevenson, Joseph M.

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Objective: Development of a model for the prediction of δ13Cprotein from δ13Ccollagen and Δ13Cap-co. Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet. Methods: Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ13Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ13Cco and Δ13Cap-co). Results: Regression analysis resulted in a two-term linear model (δ13Cprotein (%) = (0.78 × δ13Cco) - (0.58× Δ13Cap-co) - 4.7), possessing a high R-value of 0.93 (r2 = 0.86, P <0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ13Cprotein. This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. Conclusions: The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.

AB - Objective: Development of a model for the prediction of δ13Cprotein from δ13Ccollagen and Δ13Cap-co. Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet. Methods: Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ13Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ13Cco and Δ13Cap-co). Results: Regression analysis resulted in a two-term linear model (δ13Cprotein (%) = (0.78 × δ13Cco) - (0.58× Δ13Cap-co) - 4.7), possessing a high R-value of 0.93 (r2 = 0.86, P <0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ13Cprotein. This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. Conclusions: The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.

KW - anatomy

KW - behavior

KW - bioarchaeology

KW - ecology

KW - human biology

KW - physiology

UR - http://www.scopus.com/inward/record.url?scp=84946781621&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946781621&partnerID=8YFLogxK

U2 - 10.1002/ajpa.22743

DO - 10.1002/ajpa.22743

M3 - Article

C2 - 25820232

AN - SCOPUS:84946781621

VL - 157

SP - 694

EP - 703

JO - American Journal of Physical Anthropology

JF - American Journal of Physical Anthropology

SN - 0002-9483

IS - 4

ER -