↓ Skip to main content

First insights into the metagenome of Egyptian mummies using next-generation sequencing

Overview of attention for article published in Journal of Applied Genetics, April 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 428)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
5 news outlets
blogs
4 blogs
twitter
27 X users
facebook
3 Facebook pages
wikipedia
6 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
3 CiteULike
Title
First insights into the metagenome of Egyptian mummies using next-generation sequencing
Published in
Journal of Applied Genetics, April 2013
DOI 10.1007/s13353-013-0145-1
Pubmed ID
Authors

Rabab Khairat, Markus Ball, Chun-Chi Hsieh Chang, Raffaella Bianucci, Andreas G. Nerlich, Martin Trautmann, Somaia Ismail, Gamila M. L. Shanab, Amr M. Karim, Yehia Z. Gad, Carsten M. Pusch

Abstract

We applied, for the first time, next-generation sequencing (NGS) technology on Egyptian mummies. Seven NGS datasets obtained from five randomly selected Third Intermediate to Graeco-Roman Egyptian mummies (806 BC-124AD) and two unearthed pre-contact Bolivian lowland skeletons were generated and characterised. The datasets were contrasted to three recently published NGS datasets obtained from cold-climate regions, i.e. the Saqqaq, the Denisova hominid and the Alpine Iceman. Analysis was done using one million reads of each newly generated or published dataset. Blastn and megablast results were analysed using MEGAN software. Distinct NGS results were replicated by specific and sensitive polymerase chain reaction (PCR) protocols in ancient DNA dedicated laboratories. Here, we provide unambiguous identification of authentic DNA in Egyptian mummies. The NGS datasets showed variable contents of endogenous DNA harboured in tissues. Three of five mummies displayed a human DNA proportion comparable to the human read count of the Saqqaq permafrost-preserved specimen. Furthermore, a metagenomic signature unique to mummies was displayed. By applying a "bacterial fingerprint", discrimination among mummies and other remains from warm areas outside Egypt was possible. Due to the absence of an adequate environment monitoring, a bacterial bloom was identified when analysing different biopsies from the same mummies taken after a lapse of time of 1.5 years. Plant kingdom representation in all mummy datasets was unique and could be partially associated with their use in embalming materials. Finally, NGS data showed the presence of Plasmodium falciparum and Toxoplasma gondii DNA sequences, indicating malaria and toxoplasmosis in these mummies. We demonstrate that endogenous ancient DNA can be extracted from mummies and serve as a proper template for the NGS technique, thus, opening new pathways of investigation for future genome sequencing of ancient Egyptian individuals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 1%
Germany 1 <1%
Turkey 1 <1%
Brazil 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 23%
Student > Ph. D. Student 29 21%
Student > Master 23 17%
Student > Bachelor 12 9%
Student > Doctoral Student 9 6%
Other 19 14%
Unknown 15 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 41%
Biochemistry, Genetics and Molecular Biology 22 16%
Arts and Humanities 8 6%
Immunology and Microbiology 8 6%
Social Sciences 7 5%
Other 14 10%
Unknown 23 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2023.
All research outputs
#470,689
of 25,013,816 outputs
Outputs from Journal of Applied Genetics
#2
of 428 outputs
Outputs of similar age
#3,119
of 204,966 outputs
Outputs of similar age from Journal of Applied Genetics
#2
of 3 outputs
Altmetric has tracked 25,013,816 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 428 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 204,966 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.