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  Expedient Bayesian prediction of subfossil bone protein content using portable ATR-FTIR data

Hixon, S., Roberts, P., Rodríguez-Varela, R., Götherström, A., Rossoni-Notter, E., Notter, O., et al. (2024). Expedient Bayesian prediction of subfossil bone protein content using portable ATR-FTIR data. Quaternary International, 2024.05.002. doi:10.1016/j.quaint.2024.05.002.

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 Creators:
Hixon, Sean1, Author           
Roberts, Patrick1, 2, Author                 
Rodríguez-Varela, Ricardo, Author
Götherström, Anders, Author
Rossoni-Notter, Elena, Author
Notter, Olivier, Author
Raimondeau, Pauline, Author
Besnard, Guillaume, Author
Paust, Enrico, Author
Lucas, Mary1, Author           
Lagia, Anna, Author
Fernandes, Ricardo1, Author                 
Affiliations:
1Department of Archaeology, Max Planck Institute of Geoanthropology, Max Planck Society, ou_3398738              
2isoTROPIC Independent Research Group, Max Planck Institute of Geoanthropology, Max Planck Society, ou_3398744              

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Free keywords: Infrared, Collagen, Ancient DNA, Radiocarbon, Nitrogen, XRF
 Abstract: Rapid and minimally destructive methods for estimating the endogenous organic content of subfossil bone save time, lab consumables, and valuable ancient materials. Fourier transform infrared (FTIR) spectroscopy is an established method to estimate bone protein content, and portable spectroscopes enable field applications. We review the ability of benchtop and portable FTIR indices to predict %N and %collagen from 137 bone specimens drawn from eight taxa. We also explore associations of these indices with the endogenous DNA content estimated for 105 specimens. Bulk bone elemental abundance and crystallinity index data reflect diagenetic alteration of these specimens, which come from a variety of depositional environments in four countries (Madagascar, Greece, Monaco, and Germany). Infrared (IR) indices from benchtop and portable units perform similarly well in predicting observed sample N content and collagen yields. Samples that include little collagen (0–5 wt%) tend to have similar IR index values, and we present a Bayesian approach for the prediction of collagen yields. Bone type best explains variation in target species DNA content (endogenous DNA being particularly abundant in petrosals), but low IR index values were consistently associated with minimal DNA content. We conclude that, although portable FTIR fails to distinguish collagen preservation among poorly preserved samples, a simple approach with minimal sample preparation can effectively screen bone from a variety of taxa, elements, and environments for the extraction of organics.

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Language(s): eng - English
 Dates: 2024-02-212024-05-062024-05-18
 Publication Status: Published online
 Pages: 12
 Publishing info: -
 Table of Contents: 1. Introduction
1.1. Motivation
1.2. IR background
1.3. Challenges
1.4. Goals
2. Materials and methods
2.1. Samples
2.2. ATR FTIR analysis
2.3. Elemental analysis
2.4. Collagen extraction and analysis
2.5. DNA extraction
2.6. Data analysis
3. Results
3.1. Sample preservation and burial conditions
3.2. Apatite crystallinity and protein
3.3. Collagen yield prediction
3.4. Organic quality prediction
4. Discussion
4.1. Sample preservation and protein quality
4.2. Prediction of collagen yield, collagen quality, and endogenous DNA yield
5. Conclusions
 Rev. Type: No review
 Identifiers: DOI: 10.1016/j.quaint.2024.05.002
Other: gea0244
 Degree: -

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Title: Quaternary International
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: 2024.05.002 Start / End Page: - Identifier: ISSN: 1040-6182
CoNE: https://pure.mpg.de/cone/journals/resource/954925588348