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Unraveling the microbial processes of black band disease in corals through integrated genomics

Overview of attention for article published in Scientific Reports, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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1 blog
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34 X users

Citations

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43 Dimensions

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93 Mendeley
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Title
Unraveling the microbial processes of black band disease in corals through integrated genomics
Published in
Scientific Reports, January 2017
DOI 10.1038/srep40455
Pubmed ID
Authors

Yui Sato, Edmund Y. S. Ling, Dmitrij Turaev, Patrick Laffy, Karen D. Weynberg, Thomas Rattei, Bette L. Willis, David G. Bourne

Abstract

Coral disease outbreaks contribute to the ongoing degradation of reef ecosystems, however, microbial mechanisms underlying the onset and progression of most coral diseases are poorly understood. Black band disease (BBD) manifests as a cyanobacterial-dominated microbial mat that destroys coral tissues as it rapidly spreads over coral colonies. To elucidate BBD pathogenesis, we apply a comparative metagenomic and metatranscriptomic approach to identify taxonomic and functional changes within microbial lesions during in-situ development of BBD from a comparatively benign stage termed cyanobacterial patches. Results suggest that photosynthetic CO2-fixation in Cyanobacteria substantially enhances productivity of organic matter within the lesion during disease development. Photosynthates appear to subsequently promote sulfide-production by Deltaproteobacteria, facilitating the major virulence factor of BBD. Interestingly, our metagenome-enabled transcriptomic analysis reveals that BBD-associated cyanobacteria have a putative mechanism that enables them to adapt to higher levels of hydrogen sulfide within lesions, underpinning the pivotal roles of the dominant cyanobacterium within the polymicrobial lesions during the onset of BBD. The current study presents sequence-based evidence derived from whole microbial communities that unravel the mechanism of development and progression of BBD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 92 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Researcher 16 17%
Student > Bachelor 15 16%
Student > Master 10 11%
Student > Doctoral Student 4 4%
Other 12 13%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 27%
Environmental Science 24 26%
Biochemistry, Genetics and Molecular Biology 11 12%
Social Sciences 2 2%
Neuroscience 2 2%
Other 7 8%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 07 December 2018.
All research outputs
#1,403,092
of 24,662,675 outputs
Outputs from Scientific Reports
#13,514
of 134,635 outputs
Outputs of similar age
#29,833
of 427,359 outputs
Outputs of similar age from Scientific Reports
#407
of 3,715 outputs
Altmetric has tracked 24,662,675 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 134,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 89% 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 427,359 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 93% of its contemporaries.
We're also able to compare this research output to 3,715 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.