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Computational analyses of ancient pathogen DNA from herbarium samples: challenges and prospects

Overview of attention for article published in Frontiers in Plant Science, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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1 blog
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19 X users

Citations

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47 Mendeley
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Title
Computational analyses of ancient pathogen DNA from herbarium samples: challenges and prospects
Published in
Frontiers in Plant Science, September 2015
DOI 10.3389/fpls.2015.00771
Pubmed ID
Authors

Kentaro Yoshida, Eriko Sasaki, Sophien Kamoun

Abstract

The application of DNA sequencing technology to the study of ancient DNA has enabled the reconstruction of past epidemics from genomes of historically important plant-associated microbes. Recently, the genome sequences of the potato late blight pathogen Phytophthora infestans were analyzed from 19th century herbarium specimens. These herbarium samples originated from infected potatoes collected during and after the Irish potato famine. Herbaria have therefore great potential to help elucidate past epidemics of crops, date the emergence of pathogens, and inform about past pathogen population dynamics. DNA preservation in herbarium samples was unexpectedly good, raising the possibility of a whole new research area in plant and microbial genomics. However, the recovered DNA can be extremely fragmented resulting in specific challenges in reconstructing genome sequences. Here we review some of the challenges in computational analyses of ancient DNA from herbarium samples. We also applied the recently developed linkage method to haplotype reconstruction of diploid or polyploid genomes from fragmented ancient DNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Chile 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 10 21%
Student > Bachelor 6 13%
Lecturer 3 6%
Student > Postgraduate 3 6%
Other 8 17%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 68%
Biochemistry, Genetics and Molecular Biology 4 9%
Computer Science 2 4%
Arts and Humanities 1 2%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 October 2016.
All research outputs
#2,095,710
of 24,862,067 outputs
Outputs from Frontiers in Plant Science
#821
of 23,774 outputs
Outputs of similar age
#28,519
of 280,399 outputs
Outputs of similar age from Frontiers in Plant Science
#11
of 354 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,774 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 280,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 354 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.