Pathogenicity, phylogenomic, and comparative genomic study of <i>Pseudomonas syringae</i> sensu lato affecting sweet cherry in California

Comprehensive identification of phytopathogens and an in-depth understanding of their genomic architecture, particularly virulence determinants and antibiotic-resistant genes, are critical for several practical reasons. These include disease diagnosis, improved knowledge of disease epidemiology, pathogen diversity, and determination of the best possible management strategies. In this study, we provide the first report of the presence and pathogenicity of genomospecies <i>Pseudomonas cerasi</i> and <i>Pseudomonas viridiflava</i> in California sweet cherry. More importantly, we report a relatively high level of resistance to copper among the population of <i>Pseudomonas syringae</i> pv. <i>syringae</i> (47.5%). This implies copper cannot be effectively used to control bacterial blast and bacterial canker of sweet cherries. On the other hand, no isolates were resistant to kasugamycin, an indication that kasugamycin could be effectively used for the control of bacterial blast and bacterial canker. Our findings are important to improve the management of bacterial blast and bacterial canker of sweet cherries in California.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2024-09-03
DOI
https://doi.org/10.1128/spectrum.01324-24
Citations
4
Primary Topic
Plant Pathogenic Bacteria Studies
Type
article
Field-Weighted Citation Impact
2.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pathogenicity, phylogenomic, and comparative genomic study of Pseudomonas syringae sensu lato affecting sweet cherry in California

Mohamed T. Nouri, Tawanda E. Maguvu, Greta Dardani, Alejandro I. Hernandez-Rosas et al.
4 citations
Microbiology Spectrum
Plant Pathogenic Bacteria Studies
2.40
article

Pathogenicity, phylogenomic, and comparative genomic study of Pseudomonas syringae sensu lato affecting sweet cherry in California

Mohamed T. Nouri, Tawanda E. Maguvu, Greta Dardani, Alejandro I. Hernandez-Rosas, Mohammad A. Yaghmour, Florent P. Trouillas, Erin Shipley, Rosa J. Frias
article en
4 citations

Abstract

Comprehensive identification of phytopathogens and an in-depth understanding of their genomic architecture, particularly virulence determinants and antibiotic-resistant genes, are critical for several practical reasons. These include disease diagnosis, improved knowledge of disease epidemiology, pathogen diversity, and determination of the best possible management strategies. In this study, we provide the first report of the presence and pathogenicity of genomospecies <i>Pseudomonas cerasi</i> and <i>Pseudomonas viridiflava</i> in California sweet cherry. More importantly, we report a relatively high level of resistance to copper among the population of <i>Pseudomonas syringae</i> pv. <i>syringae</i> (47.5%). This implies copper cannot be effectively used to control bacterial blast and bacterial canker of sweet cherries. On the other hand, no isolates were resistant to kasugamycin, an indication that kasugamycin could be effectively used for the control of bacterial blast and bacterial canker. Our findings are important to improve the management of bacterial blast and bacterial canker of sweet cherries in California.

Microbiology SpectrumVol. 12(10)
University of Nebraska at Kearney (US), Plant (United States) (US), Kearney Agricultural Research and Extension Center, University of Turin (IT), University of California, Davis (US)
California Cherry Board
Life in Land
Openalex Percentile: Top 11%
Plant Pathogenic Bacteria Studies
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.