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Methylation-based enrichment facilitates low-cost, noninvasive genomic scale sequencing of populations from feces

Overview of attention for article published in Scientific Reports, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 75,738)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
8 news outlets
blogs
5 blogs
twitter
3430 tweeters
facebook
5 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
601 Mendeley
Title
Methylation-based enrichment facilitates low-cost, noninvasive genomic scale sequencing of populations from feces
Published in
Scientific Reports, January 2018
DOI 10.1038/s41598-018-20427-9
Pubmed ID
Authors

Kenneth L. Chiou, Christina M. Bergey

Abstract

Obtaining high-quality samples from wild animals is a major obstacle for genomic studies of many taxa, particularly at the population level, as collection methods for such samples are typically invasive. DNA from feces is easy to obtain noninvasively, but is dominated by bacterial and other non-host DNA. The high proportion of non-host DNA drastically reduces the efficiency of high-throughput sequencing for host animal genomics. To address this issue, we developed an inexpensive capture method for enriching host DNA from noninvasive fecal samples. Our method exploits natural differences in CpG-methylation density between vertebrate and bacterial genomes to preferentially bind and isolate host DNA from majority-bacterial samples. We demonstrate that the enrichment is robust, efficient, and compatible with downstream library preparation methods useful for population studies (e.g., RADseq). Compared to other enrichment strategies, our method is quick and inexpensive, adding only a negligible cost to sample preparation. In combination with downstream methods such as RADseq, our approach allows for cost-effective and customizable genomic-scale genotyping that was previously feasible in practice only with invasive samples. Because feces are widely available and convenient to collect, our method empowers researchers to explore genomic-scale population-level questions in organisms for which invasive sampling is challenging or undesirable.

Twitter Demographics

The data shown below were collected from the profiles of 3,430 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 601 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 601 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 168 28%
Researcher 133 22%
Student > Master 82 14%
Student > Bachelor 46 8%
Student > Doctoral Student 32 5%
Other 74 12%
Unknown 66 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 205 34%
Biochemistry, Genetics and Molecular Biology 106 18%
Environmental Science 39 6%
Chemistry 26 4%
Medicine and Dentistry 22 4%
Other 110 18%
Unknown 93 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1726. 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 27 March 2020.
All research outputs
#1,472
of 14,564,429 outputs
Outputs from Scientific Reports
#22
of 75,738 outputs
Outputs of similar age
#72
of 360,557 outputs
Outputs of similar age from Scientific Reports
#1
of 14 outputs
Altmetric has tracked 14,564,429 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 75,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 360,557 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 99% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.