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High-throughput nucleotide sequence analysis of diverse bacterial communities in leachates of decomposing pig carcasses

Overview of attention for article published in Genetics and Molecular Biology, August 2015
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Article details
Title
High-throughput nucleotide sequence analysis of diverse bacterial communities in leachates of decomposing pig carcasses
Published in
Genetics and Molecular Biology, August 2015
DOI 10.1590/s1415-475738320140252
Pubmed ID
Authors
Abstract

The leachate generated by the decomposition of animal carcass has been implicated as an environmental contaminant surrounding the burial site. High-throughput nucleotide sequencing was conducted to investigate the bacterial communities in leachates from the decomposition of pig carcasses. We acquired 51,230 reads from six different samples (1, 2, 3, 4, 6 and 14 week-old carcasses) and found that sequences representing the phylum Firmicutes predominated. The diversity of bacterial 16S rRNA gene sequences in the leachate was the highest at 6 weeks, in contrast to those at 2 and 14 weeks. The relative abundance of Firmicutes was reduced, while the proportion of Bacteroidetes and Proteobacteria increased from 3-6 weeks. The representation of phyla was restored after 14 weeks. However, the community structures between the samples taken at 1-2 and 14 weeks differed at the bacterial classification level. The trend in pH was similar to the changes seen in bacterial communities, indicating that the pH of the leachate could be related to the shift in the microbial community. The results indicate that the composition of bacterial communities in leachates of decomposing pig carcasses shifted continuously during the study period and might be influenced by the burial site.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 21%
Student > Master 4 21%
Student > Ph. D. Student 1 5%
Student > Postgraduate 1 5%
Unknown 9 47%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2015.
All research outputs
#23,307,578
of 28,513,504 outputs
Outputs from Genetics and Molecular Biology
#570
of 789 outputs
Outputs of similar age
#209,686
of 280,847 outputs
Outputs of similar age from Genetics and Molecular Biology
#11
of 14 outputs
Altmetric has tracked 28,513,504 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 789 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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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 is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.