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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, September 2015
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Title
High-throughput nucleotide sequence analysis of diverse bacterial communities in leachates of decomposing pig carcasses
Published in
Genetics and Molecular Biology, September 2015
DOI 10.1590/s1415-475738320140252
Pubmed ID
Authors

Seung Hak Yang, Joung Soo Lim, Modabber Ahmed Khan, Bong Soo Kim, Dong Yoon Choi, Eun Young Lee, Hee Kwon Ahn

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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Master 4 27%
Student > Postgraduate 1 7%
Student > Ph. D. Student 1 7%
Unknown 5 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Biochemistry, Genetics and Molecular Biology 2 13%
Environmental Science 1 7%
Medicine and Dentistry 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 6 40%

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
#18,174,321
of 22,489,683 outputs
Outputs from Genetics and Molecular Biology
#494
of 703 outputs
Outputs of similar age
#183,048
of 255,769 outputs
Outputs of similar age from Genetics and Molecular Biology
#6
of 6 outputs
Altmetric has tracked 22,489,683 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 703 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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