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Comparative genomics of Steinernema reveals deeply conserved gene regulatory networks

Overview of attention for article published in Genome Biology, September 2015
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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7 news outlets
blogs
1 blog
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19 X users

Citations

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77 Dimensions

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113 Mendeley
Title
Comparative genomics of Steinernema reveals deeply conserved gene regulatory networks
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0746-6
Pubmed ID
Authors

Adler R. Dillman, Marissa Macchietto, Camille F. Porter, Alicia Rogers, Brian Williams, Igor Antoshechkin, Ming-Min Lee, Zane Goodwin, Xiaojun Lu, Edwin E. Lewis, Heidi Goodrich-Blair, S. Patricia Stock, Byron J. Adams, Paul W. Sternberg, Ali Mortazavi

Abstract

Parasitism is a major ecological niche for a variety of nematodes. Multiple nematode lineages have specialized as pathogens, including deadly parasites of insects that are used in biological control. We have sequenced and analyzed the draft genomes and transcriptomes of the entomopathogenic nematode Steinernema carpocapsae and four congeners (S. scapterisci, S. monticolum, S. feltiae, and S. glaseri). We used these genomes to establish phylogenetic relationships, explore gene conservation across species, and identify genes uniquely expanded in insect parasites. Protein domain analysis in Steinernema revealed a striking expansion of numerous putative parasitism genes, including certain protease and protease inhibitor families, as well as fatty acid- and retinol-binding proteins. Stage-specific gene expression of some of these expanded families further supports the notion that they are involved in insect parasitism by Steinernema. We show that sets of novel conserved non-coding regulatory motifs are associated with orthologous genes in Steinernema and Caenorhabditis. We have identified a set of expanded gene families that are likely to be involved in parasitism. We have also identified a set of non-coding motifs associated with groups of orthologous genes in Steinernema and Caenorhabditis involved in neurogenesis and embryonic development that are likely part of conserved protein-DNA relationships shared between these two genera.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
Canada 1 <1%
Finland 1 <1%
Taiwan 1 <1%
Poland 1 <1%
Unknown 107 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Researcher 18 16%
Student > Master 12 11%
Professor > Associate Professor 7 6%
Student > Bachelor 6 5%
Other 20 18%
Unknown 23 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 45%
Biochemistry, Genetics and Molecular Biology 27 24%
Computer Science 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Nursing and Health Professions 1 <1%
Other 6 5%
Unknown 25 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 24 November 2021.
All research outputs
#649,973
of 25,706,302 outputs
Outputs from Genome Biology
#400
of 4,504 outputs
Outputs of similar age
#9,017
of 286,448 outputs
Outputs of similar age from Genome Biology
#13
of 85 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 91% 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 286,448 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 96% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.