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Clean Low-Biomass Procedures and Their Application to Ancient Ice Core Microorganisms

Overview of attention for article published in Frontiers in Microbiology, May 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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4 news outlets
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4 blogs

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63 Mendeley
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Title
Clean Low-Biomass Procedures and Their Application to Ancient Ice Core Microorganisms
Published in
Frontiers in Microbiology, May 2018
DOI 10.3389/fmicb.2018.01094
Pubmed ID
Authors

Zhi-Ping Zhong, Natalie E. Solonenko, Maria C. Gazitúa, Donald V. Kenny, Ellen Mosley-Thompson, Virginia I. Rich, James L. Van Etten, Lonnie G. Thompson, Matthew B. Sullivan

Abstract

Microorganisms in glacier ice provide tens to hundreds of thousands of years archive for a changing climate and microbial responses to it. Analyzing ancient ice is impeded by technical issues, including limited ice, low biomass, and contamination. While many approaches have been evaluated and advanced to remove contaminants on ice core surfaces, few studies leverage modern sequencing to establish in silico decontamination protocols for glacier ice. Here we sought to apply such "clean" sampling techniques with in silico decontamination approaches used elsewhere to investigate microorganisms archived in ice at ∼41 (D41, ∼20,000 years) and ∼49 m (D49, ∼30,000 years) depth in an ice core (GS3) from the summit of the Guliya ice cap in the northwestern Tibetan Plateau. Four "background" controls were established - a co-processed sterile water artificial ice core, two air samples collected from the ice processing laboratories, and a blank, sterile water sample - and used to assess contaminant microbial diversity and abundances. Amplicon sequencing revealed 29 microbial genera in these controls, but quantitative PCR showed that the controls contained about 50-100-times less 16S DNA than the glacial ice samples. As in prior work, we interpreted these low-abundance taxa in controls as "contaminants" and proportionally removed them in silico from the GS3 ice amplicon data. Because of the low biomass in the controls, we also compared prokaryotic 16S DNA amplicons from pre-amplified (by re-conditioning PCR) and standard amplicon sequencing, and found the resulting microbial profiles to be repeatable and nearly identical. Ecologically, the contaminant-controlled ice microbial profiles revealed significantly different microorganisms across the two depths in the GS3 ice core, which is consistent with changing climate, as reported for other glacier ice samples. Many GS3 ice core genera, including Methylobacterium, Sphingomonas, Flavobacterium, Janthinobacterium, Polaromonas, and Rhodobacter, were also abundant in previously studied ice cores, which suggests wide distribution across glacier environments. Together these findings help further establish "clean" procedures for studying low-biomass ice microbial communities and contribute to a baseline understanding of microorganisms archived in glacier ice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Student > Doctoral Student 4 6%
Student > Bachelor 2 3%
Other 4 6%
Unknown 18 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 21%
Agricultural and Biological Sciences 7 11%
Environmental Science 5 8%
Earth and Planetary Sciences 4 6%
Immunology and Microbiology 3 5%
Other 9 14%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 August 2020.
All research outputs
#668,421
of 23,090,520 outputs
Outputs from Frontiers in Microbiology
#339
of 25,257 outputs
Outputs of similar age
#16,531
of 330,791 outputs
Outputs of similar age from Frontiers in Microbiology
#11
of 644 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 330,791 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 95% of its contemporaries.
We're also able to compare this research output to 644 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 98% of its contemporaries.