Bridget E. Laue
5 Papers
2 Citations
Bridget E. Laue is an academic researcher. The author has contributed to research in topics: Pseudomonas syringae & Comparative genomics. The author has an hindex of 3, co-authored 5 publications.
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Papers
Comparative genome analysis provides insights into the evolution and adaptation of Pseudomonas syringae pv. aesculi on Aesculus hippocastanum
Sarah Green,David J. Studholme,Bridget E. Laue,Federico Dorati,Helen C. Lovell,Dawn L. Arnold,Joan E. Cottrell,Stephen Bridgett,Mark Blaxter,Edgar Huitema,Richard Thwaites,Paul M. Sharp,Robert W. Jackson,Sophien Kamoun +13 more
TL;DR: The phylogeny of three strains isolated recently from bleeding stem cankers on European horse chestnut in Britain suggests that they originate from a single, recent introduction into Britain, thus highlighting the serious environmental risks posed by the spread of an exotic plant pathogenic bacterium to a new geographic location.
Comparative genomics reveals genes significantly associated with woody hosts in the plant pathogen Pseudomonas syringae
TL;DR: Evidence for a common set of genes associated with strains that are able to colonize woody plants is found, suggesting that divergent lineages have acquired similarities in genome composition that may form the genetic basis of their adaptation to woody hosts.
Horse Chestnut Bleeding Canker: A Twenty-First Century Tree Pathogen
Sarah Green,Bridget E. Laue,Reuben W. Nowell,H. Steele +3 more
- 01 Jan 2014
TL;DR: Genomic comparisons with other P. syringae pathovars showed that P. aesculi has readily gained and lost genes during its recent past and potentially important genetic gains include a pathway for the enzymatic degradation of plant-derived aromatic products and two genes involved in the metabolism of nitric oxide which may enable the bacterium to disable an important host defence response.
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The Extent of Genome Flux and Its Role in the Differentiation of Bacterial Lineages
TL;DR: Using whole-genome sequence data to quantify gene gain and loss for 27 lineages of the plant-associated bacterium Pseudomonas syringae, an extensive error-control procedure is applied that accounts for errors in draft genome data and greatly improves the accuracy of patterns of gene occurrence among these genomes.