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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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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
8 news outlets
blogs
5 blogs
twitter
2792 X users
facebook
5 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
777 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2,792 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 777 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 777 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 211 27%
Researcher 163 21%
Student > Master 89 11%
Student > Bachelor 59 8%
Student > Doctoral Student 41 5%
Other 95 12%
Unknown 119 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 244 31%
Biochemistry, Genetics and Molecular Biology 133 17%
Environmental Science 44 6%
Chemistry 35 5%
Medicine and Dentistry 25 3%
Other 139 18%
Unknown 157 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1387. 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 03 March 2023.
All research outputs
#9,211
of 25,722,279 outputs
Outputs from Scientific Reports
#146
of 142,627 outputs
Outputs of similar age
#150
of 451,208 outputs
Outputs of similar age from Scientific Reports
#6
of 3,907 outputs
Altmetric has tracked 25,722,279 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 142,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. 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 451,208 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 3,907 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 99% of its contemporaries.