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Identification of new protein-coding genes with a potential role in the virulence of the plant pathogen Xanthomonas euvesicatoria

Overview of attention for article published in BMC Genomics, August 2017
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Title
Identification of new protein-coding genes with a potential role in the virulence of the plant pathogen Xanthomonas euvesicatoria
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4041-7
Pubmed ID
Authors

Ulrike Abendroth, Norman Adlung, Andreas Otto, Benjamin Grüneisen, Dörte Becher, Ulla Bonas

Abstract

Bacteria of the genus Xanthomonas are economically important plant pathogens. Pathogenicity of Xanthomonas spp. depends on the type III-secretion system and additional virulence determinants. The number of sequenced Xanthomonas genomes increases rapidly, however, accurate annotation of these genomes is difficult, because it relies on gene prediction programs. In this study, we used a mass-spectrometry (MS)-based approach to identify the proteome of Xanthomonas euvesicatoria (Xe) strain 85-10 also known as X. campestris pv. vesicatoria, a well-studied member of plant-pathogenic Xanthomonadaceae. Using different culture conditions, MS-datasets were searched against a six-frame-translated genome database of Xe. In total, we identified 2588 proteins covering 55% of the Xe genome, including 764 hitherto hypothetical proteins. Our proteogenomic approach identified 30 new protein-coding genes and allowed correction of the N-termini of 50 protein-coding genes. For five novel and two N-terminally corrected genes the corresponding proteins were confirmed by immunoblot. Furthermore, our data indicate that two putative type VI-secretion systems encoded in Xe play no role in bacterial virulence which was experimentally confirmed. The discovery and re-annotation of numerous genes in the genome of Xe shows that also a well-annotated genome can be improved. Additionally, our proteogenomic analyses validates "hypothetical" proteins and will improve annotation of Xanthomonadaceae genomes, providing a solid basis for further studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 6 15%
Student > Bachelor 5 13%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Biochemistry, Genetics and Molecular Biology 9 23%
Engineering 2 5%
Nursing and Health Professions 1 3%
Computer Science 1 3%
Other 4 10%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 October 2017.
All research outputs
#13,214,842
of 22,997,544 outputs
Outputs from BMC Genomics
#4,752
of 10,692 outputs
Outputs of similar age
#139,282
of 287,821 outputs
Outputs of similar age from BMC Genomics
#82
of 207 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 287,821 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 50% of its contemporaries.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.