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A Preliminary List of Horizontally Transferred Genes in Prokaryotes Determined by Tree Reconstruction and Reconciliation

Overview of attention for article published in Frontiers in Genetics, August 2017
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Title
A Preliminary List of Horizontally Transferred Genes in Prokaryotes Determined by Tree Reconstruction and Reconciliation
Published in
Frontiers in Genetics, August 2017
DOI 10.3389/fgene.2017.00112
Pubmed ID
Authors

Hyeonsoo Jeong, Arshan Nasir

Abstract

Genome-wide global detection of genes involved in horizontal gene transfer (HGT) remains an active area of research in medical microbiology and evolutionary genomics. Utilizing the explicit evolutionary method of comparing topologies of a total of 154,805 orthologous gene trees against corresponding 16S rRNA "reference" trees, we previously detected a total of 660,894 candidate HGT events in 2,472 completely-sequenced prokaryotic genomes. Here, we report an HGT-index for each individual gene-reference tree pair reconciliation, representing the total number of detected HGT events on the gene tree divided by the total number of genomes (taxa) member of that tree. HGT-index is thus a simple measure indicating the sensitivity of prokaryotic genes to participate (or not participate) in HGT. Our preliminary list provides HGT-indices for a total of 69,365 genes (detected in >10 and <50% available prokaryotic genomes) that are involved in a wide range of biological processes such as metabolism, information, and bacterial response to environment. Identification of horizontally-derived genes is important to combat antibiotic resistance and is a step forward toward reconstructions of improved phylogenies describing the history of life. Our effort is thus expected to benefit ongoing research in the fields of clinical microbiology and evolutionary biology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 35%
Researcher 12 26%
Student > Ph. D. Student 7 15%
Student > Bachelor 2 4%
Professor 1 2%
Other 2 4%
Unknown 6 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 28%
Agricultural and Biological Sciences 13 28%
Computer Science 3 7%
Mathematics 2 4%
Medicine and Dentistry 2 4%
Other 5 11%
Unknown 8 17%
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 30 August 2017.
All research outputs
#16,357,504
of 24,093,053 outputs
Outputs from Frontiers in Genetics
#5,869
of 12,936 outputs
Outputs of similar age
#203,565
of 319,907 outputs
Outputs of similar age from Frontiers in Genetics
#34
of 51 outputs
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We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.