↓ Skip to main content

Oxford University Press

Evolution of transcription activator-like effectors in Xanthomonas oryzae

Overview of attention for article published in Genome Biology & Evolution, June 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
65 Mendeley
Title
Evolution of transcription activator-like effectors in Xanthomonas oryzae
Published in
Genome Biology & Evolution, June 2017
DOI 10.1093/gbe/evx108
Pubmed ID
Authors

Annett Erkes, Maik Reschke, Jens Boch, Jan Grau

Abstract

Transcription activator-like effectors (TALEs) are secreted by plant-pathogenic Xanthomonas bacteria into plant cells where they act as transcriptional activators and, hence, are major drivers in reprogramming the plant for the benefit of the pathogen. TALEs possess a highly repetitive DNA-binding domain of typically 34 amino acid tandem repeats, where amino acid 12 and 13, termed repeat variable di-residue (RVD), determine target specificity. Different Xanthomonas strains possess different repertoires of TALEs. Here, we study the evolution of TALEs from the level of RVDs determining target specificity down to the level of DNA sequence with focus on rice-pathogenic Xanthomonasoryzae pv. oryzae (Xoo) and Xanthomonasoryzae pv. oryzicola (Xoc) strains.We observe that codon pairs coding for individual RVDs are conserved to a similar degree as the flanking repeat sequence. We find strong indications that TALEs may evolve i) by base substitutions in codon pairs coding for RVDs, ii) by recombination of N-terminal or C-terminal regions of existing TALEs, or iii) by deletion of individual TALE repeats, and we propose possible mechanisms. We find indications that the reassortment of TALE genes in clusters is mediated by an integron-like mechanism in Xoc. We finally study the effect of the presence/absence and evolutionary modifications of TALEs on transcriptional activation of putative target genes in rice, and find that even single RVD swaps may lead to considerable differences in activation. This correlation allowed a refined prediction of TALE targets, which is the crucial step to decipher their virulence activity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 7 11%
Researcher 6 9%
Student > Bachelor 5 8%
Student > Postgraduate 4 6%
Other 8 12%
Unknown 19 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 45%
Biochemistry, Genetics and Molecular Biology 11 17%
Arts and Humanities 1 2%
Immunology and Microbiology 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 September 2017.
All research outputs
#8,188,597
of 25,382,440 outputs
Outputs from Genome Biology & Evolution
#1,882
of 3,033 outputs
Outputs of similar age
#122,052
of 331,803 outputs
Outputs of similar age from Genome Biology & Evolution
#53
of 74 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 37th percentile – i.e., 37% 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 331,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.