Evolution of Transcription Activator-Like Effectors in Xanthomonas oryzae

Download statistics - Document (COUNTER):

Erkes, A.; Reschke, M.; Boch, J.; Grau, J.: Evolution of Transcription Activator-Like Effectors in Xanthomonas oryzae. In: Genome Biology and Evolution 9 (2017), Nr. 6, S. 1599-1615. DOI: https://doi.org/10.1093/gbe/evx108

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4791

Selected time period:

year: 
month: 

Sum total of downloads: 67




Thumbnail
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(AA) tandem repeats, where AA 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 Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae 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 1) by base substitutions in codon pairs coding for RVDs, 2) by recombination of N-terminal or C-terminal regions of existing TALEs, or 3) 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.
License of this version: CC BY-NC 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Naturwissenschaftliche Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 49 73.13%
2 image of flag of United States United States 11 16.42%
3 image of flag of China China 4 5.97%
4 image of flag of Taiwan Taiwan 1 1.49%
5 image of flag of Syrian Arab Republic Syrian Arab Republic 1 1.49%
6 image of flag of Serbia Serbia 1 1.49%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse