Title |
Gene loss in the fungal canola pathogen Leptosphaeria maculans
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Published in |
Functional & Integrative Genomics, November 2014
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DOI | 10.1007/s10142-014-0412-1 |
Pubmed ID | |
Authors |
Agnieszka A. Golicz, Paula A. Martinez, Manuel Zander, Dhwani A. Patel, Angela P. Van De Wouw, Paul Visendi, Timothy L. Fitzgerald, David Edwards, Jacqueline Batley |
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. |
X Demographics
Geographical breakdown
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
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Australia | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 28% |
Student > Ph. D. Student | 5 | 14% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 11% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 19 | 53% |
Biochemistry, Genetics and Molecular Biology | 6 | 17% |
Unknown | 11 | 31% |