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Complete genome sequence of the sesame pathogen Ralstonia solanacearum strain SEPPX 05

Overview of attention for article published in Genes & Genomics, February 2018
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Title
Complete genome sequence of the sesame pathogen Ralstonia solanacearum strain SEPPX 05
Published in
Genes & Genomics, February 2018
DOI 10.1007/s13258-018-0667-3
Pubmed ID
Authors

Xinshen Li, Xiaomei Huang, Gongyou Chen, Lifang Zou, Lingen Wei, Juling Hua

Abstract

Ralstonia solanacearum is a soil-borne phytopathogen associated with bacterial wilt disease of sesame. R. solanacearum is the predominant agent causing damping-off from tropical to temperate regions. Because bacterial wilt has decreased the sesame industry yield, we sequenced the SEPPX05 genome using PacBio and Illumina HiSeq 2500 systems and revealed that R. solanacearum strain SEPPX05 carries a bipartite genome consisting of a 3,930,849 bp chromosome and a 2,066,085 bp megaplasmid with 66.84% G+C content that harbors 5,427 coding sequences. Based on the whole genome, phylogenetic analysis showed that strain SEPPX05 is grouped with two phylotype I strains (EP1 and GMI1000). Pan-genomic analysis shows that R. solanacearum is a complex species with high biological diversity and was able to colonize various environments during evolution. Despite deletions, insertions, and inversions, most genes of strain SEPPX05 have relatively high levels of synteny compared with strain GMI1000. We identified 104 genes involved in virulence-related factors in the SEPPX05 genome and eight absent genes encoding T3Es of GMI1000. Comparing SEPPX05 with other species, we found highly conserved secretion systems central to modulating interactions of host bacteria. These data may provide important clues for understanding underlying pathogenic mechanisms of R. solanacearum and help in the control of sesame bacterial wilt.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Master 3 16%
Student > Ph. D. Student 2 11%
Student > Postgraduate 2 11%
Professor 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 3 16%
Nursing and Health Professions 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Genes & Genomics
#354
of 661 outputs
Outputs of similar age
#388,666
of 447,797 outputs
Outputs of similar age from Genes & Genomics
#21
of 28 outputs
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