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Genome comparisons provide insights into the role of secondary metabolites in the pathogenic phase of the Photorhabdus life cycle

Overview of attention for article published in BMC Genomics, August 2016
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Title
Genome comparisons provide insights into the role of secondary metabolites in the pathogenic phase of the Photorhabdus life cycle
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2862-4
Pubmed ID
Authors

Nicholas J. Tobias, Bagdevi Mishra, Deepak K. Gupta, Rahul Sharma, Marco Thines, Timothy P. Stinear, Helge B. Bode

Abstract

Bacteria within the genus Photorhabdus maintain mutualistic symbioses with nematodes in complicated lifecycles that also involves insect pathogenic phases. Intriguingly, these bacteria are rich in biosynthetic gene clusters that produce compounds with diverse biological activities. As a basis to better understand the life cycles of Photorhabdus we sequenced the genomes of two recently discovered representative species and performed detailed genomic comparisons with five publically available genomes. Here we report the genomic details of two new reference Photorhabdus species. By then conducting genomic comparisons across the genus, we show that there are several highly conserved biosynthetic gene clusters. These clusters produce a range of bioactive small molecules that support the pathogenic phase of the integral relationship that Photorhabdus maintain with nematodes. Photorhabdus contain several genetic loci that allow them to become specialist insect pathogens by efficiently evading insect immune responses and killing the insect host.

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The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Researcher 8 17%
Student > Bachelor 5 11%
Student > Ph. D. Student 5 11%
Professor 2 4%
Other 4 9%
Unknown 12 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Biochemistry, Genetics and Molecular Biology 6 13%
Immunology and Microbiology 5 11%
Nursing and Health Professions 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 12 26%
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 05 August 2016.
All research outputs
#17,811,816
of 22,881,964 outputs
Outputs from BMC Genomics
#7,581
of 10,666 outputs
Outputs of similar age
#269,374
of 367,231 outputs
Outputs of similar age from BMC Genomics
#196
of 271 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,666 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 271 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.