↓ Skip to main content

Engineering Strategies to Decode and Enhance the Genomes of Coral Symbionts

Overview of attention for article published in Frontiers in Microbiology, June 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
20 news outlets
blogs
4 blogs
policy
1 policy source
twitter
39 X users
facebook
1 Facebook page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
243 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Engineering Strategies to Decode and Enhance the Genomes of Coral Symbionts
Published in
Frontiers in Microbiology, June 2017
DOI 10.3389/fmicb.2017.01220
Pubmed ID
Authors

Rachel A. Levin, Christian R. Voolstra, Shobhit Agrawal, Peter D. Steinberg, David J. Suggett, Madeleine J. H. van Oppen

Abstract

Elevated sea surface temperatures from a severe and prolonged El Niño event (2014-2016) fueled by climate change have resulted in mass coral bleaching (loss of dinoflagellate photosymbionts, Symbiodinium spp., from coral tissues) and subsequent coral mortality, devastating reefs worldwide. Genetic variation within and between Symbiodinium species strongly influences the bleaching tolerance of corals, thus recent papers have called for genetic engineering of Symbiodinium to elucidate the genetic basis of bleaching-relevant Symbiodinium traits. However, while Symbiodinium has been intensively studied for over 50 years, genetic transformation of Symbiodinium has seen little success likely due to the large evolutionary divergence between Symbiodinium and other model eukaryotes rendering standard transformation systems incompatible. Here, we integrate the growing wealth of Symbiodinium next-generation sequencing data to design tailored genetic engineering strategies. Specifically, we develop a testable expression construct model that incorporates endogenous Symbiodinium promoters, terminators, and genes of interest, as well as an internal ribosomal entry site from a Symbiodinium virus. Furthermore, we assess the potential for CRISPR/Cas9 genome editing through new analyses of the three currently available Symbiodinium genomes. Finally, we discuss how genetic engineering could be applied to enhance the stress tolerance of Symbiodinium, and in turn, coral reefs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 243 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 57 23%
Student > Ph. D. Student 41 17%
Researcher 34 14%
Student > Master 22 9%
Student > Postgraduate 8 3%
Other 26 11%
Unknown 55 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 30%
Biochemistry, Genetics and Molecular Biology 49 20%
Environmental Science 27 11%
Immunology and Microbiology 8 3%
Chemistry 6 2%
Other 21 9%
Unknown 59 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 212. 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 16 August 2021.
All research outputs
#179,473
of 25,046,944 outputs
Outputs from Frontiers in Microbiology
#105
of 28,709 outputs
Outputs of similar age
#3,847
of 320,131 outputs
Outputs of similar age from Frontiers in Microbiology
#6
of 528 outputs
Altmetric has tracked 25,046,944 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,709 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 99% 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 320,131 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 98% of its contemporaries.
We're also able to compare this research output to 528 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.