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Gene loss in the fungal canola pathogen Leptosphaeria maculans

Gene loss in the fungal canola pathogen Leptosphaeria maculans

Golicz, Agnieszka A., Martinez, Paula A., Zander, Manuel, Patel, Dhwani A., Van De Wouw, Angela P., Visendi, Paul, Fitzgerald, Timothy L., Edwards, David and Batley, Jacqueline (2014) Gene loss in the fungal canola pathogen Leptosphaeria maculans. Functional & Integrative Genomics, 15 (2). pp. 189-196. ISSN 1438-793X (Print), 1438-7948 (Online) (doi:https://doi.org/10.1007/s10142-014-0412-1)

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Abstract

Recent comparisons of the increasing number of genome sequences have revealed that variation in gene content is considerably more prevalent than previously thought. This variation is likely to have a pronounced effect on phenotypic diversity and represents a crucial target for the assessment of genomic diversity. Leptosphaeria maculans, a causative agent of phoma stem canker, is the most devastating fungal pathogen of Brassica napus (oilseed rape/canola). A number of L. maculans genes are known to be present in some isolates but lost in the others. We analyse gene content variation within three L. maculans isolates using a hybrid mapping and genome assembly approach and identify genes which are present in one of the isolates but missing in the others. In total, 57 genes are shown to be missing in at least one isolate. The genes encode proteins involved in a range of processes including oxidative processes, DNA maintenance, cell signalling and sexual reproduction. The results demonstrate the effectiveness of the method and provide new insight into genomic diversity in L. maculans.

Item Type: Article
Uncontrolled Keywords: NGS; Re-sequencing; Gene loss; Gene content variation; Leptosphaeria maculans
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Last Modified: 14 Feb 2017 17:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16314

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