Header

UZH-Logo

Maintenance Infos

Dental calculus and the evolution of the human oral microbiome


Warinner, Christina (2016). Dental calculus and the evolution of the human oral microbiome. Journal of the California Dental Association, 44(7):411-420.

Abstract

Characterizing the evolution of the oral microbiome is a challenging, but increasingly feasible, task. Recently, dental calculus has been shown to preserve ancient biomolecules from the oral microbiota, host tissues and diet for tens of thousands of years. As such, it provides a unique window into the ancestral oral microbiome. This article reviews recent advancements in ancient dental calculus research and emerging insights into the evolution and ecology of the human oral microbiome.

Abstract

Characterizing the evolution of the oral microbiome is a challenging, but increasingly feasible, task. Recently, dental calculus has been shown to preserve ancient biomolecules from the oral microbiota, host tissues and diet for tens of thousands of years. As such, it provides a unique window into the ancestral oral microbiome. This article reviews recent advancements in ancient dental calculus research and emerging insights into the evolution and ecology of the human oral microbiome.

Statistics

Altmetrics

Downloads

1 download since deposited on 08 Dec 2016
1 download since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Evolutionary Medicine
Dewey Decimal Classification:Unspecified
Language:English
Date:July 2016
Deposited On:08 Dec 2016 15:06
Last Modified:31 Jan 2017 08:31
Publisher:California Dental Association
ISSN:1043-2256
Free access at:Publisher DOI. An embargo period may apply.
PubMed ID:27514153

Download

Preview Icon on Download
Content: Published Version
Filetype: PDF - Registered users only
Size: 924kB

Article Networks

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations