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Distinctive Nuclear Localization Signals in the Oomycete Phytophthora sojae

Overview of attention for article published in Frontiers in Microbiology, February 2017
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Title
Distinctive Nuclear Localization Signals in the Oomycete Phytophthora sojae
Published in
Frontiers in Microbiology, February 2017
DOI 10.3389/fmicb.2017.00010
Pubmed ID
Authors

Yufeng Fang, Hyo Sang Jang, Gregory W. Watson, Dulani P. Wellappili, Brett M. Tyler

Abstract

To date, nuclear localization signals (NLSs) that target proteins to nuclei in oomycetes have not been defined, but have been assumed to be the same as in higher eukaryotes. Here, we use the soybean pathogen Phytophthora sojae as a model to investigate these sequences in oomycetes. By establishing a reliable in vivo NLS assay based on confocal microscopy, we found that many canonical monopartite and bipartite classical NLSs (cNLSs) mediated nuclear import poorly in P. sojae. We found that efficient localization of P. sojae nuclear proteins by cNLSs requires additional basic amino acids at distal sites or collaboration with other NLSs. We found that several representatives of another well-characterized NLS, proline-tyrosine NLS (PY-NLS) also functioned poorly in P. sojae. To characterize PY-NLSs in P. sojae, we experimentally defined the residues required by functional PY-NLSs in three P. sojae nuclear-localized proteins. These results showed that functional P. sojae PY-NLSs include an additional cluster of basic residues for efficient nuclear import. Finally, analysis of several highly conserved P. sojae nuclear proteins including ribosomal proteins and core histones revealed that these proteins exhibit a similar but stronger set of sequence requirements for nuclear targeting compared with their orthologs in mammals or yeast.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Doctoral Student 5 18%
Researcher 4 14%
Student > Master 3 11%
Student > Bachelor 1 4%
Other 1 4%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 43%
Biochemistry, Genetics and Molecular Biology 7 25%
Immunology and Microbiology 2 7%
Unspecified 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 March 2017.
All research outputs
#14,798,134
of 22,959,818 outputs
Outputs from Frontiers in Microbiology
#13,697
of 24,999 outputs
Outputs of similar age
#239,928
of 420,341 outputs
Outputs of similar age from Frontiers in Microbiology
#286
of 424 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,999 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 420,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 424 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.