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Three genetic groups of the Eucalyptus stem canker pathogen Teratosphaeria zuluensis introduced into Africa from an unknown source

Overview of attention for article published in Antonie van Leeuwenhoek, October 2015
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Title
Three genetic groups of the Eucalyptus stem canker pathogen Teratosphaeria zuluensis introduced into Africa from an unknown source
Published in
Antonie van Leeuwenhoek, October 2015
DOI 10.1007/s10482-015-0606-0
Pubmed ID
Authors

Luke Jimu, ShuaiFei Chen, Michael J. Wingfield, Eddie Mwenje, Jolanda Roux

Abstract

The Eucalyptus stem canker pathogen Teratosphaeria zuluensis was discovered in South Africa in 1988 and it has subsequently been found in several other African countries as well as globally. In this study, the population structure, genetic diversity and evolutionary history of T. z uluensis were analysed using microsatellite markers to gain an enhanced understanding of its movement in Africa. Isolates were collected from several sites in Malawi, Mozambique, Uganda and Zambia. Data obtained were compared with those previously published for a South African population. The data obtained from 334 isolates, amplified across eight microsatellite loci, were used for assignment, differentiation and genetic diversity tests. STRUCTURE analyses, θ st and genetic distances revealed the existence of two clusters, one dominated by isolates from South Africa and the other by isolates from the Zambezi basin including Malawi, Mozambique and Zambia. High levels of admixture were found within and among populations, dominated by the Mulanje population in Malawi. Moderate to low genetic diversity of the populations supports the previously held view that the pathogen was introduced into Africa. The clonal nature of the Ugandan population suggests a very recent introduction, most likely from southern Africa.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 26%
Student > Ph. D. Student 6 26%
Researcher 3 13%
Unspecified 2 9%
Professor 1 4%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 48%
Environmental Science 4 17%
Unspecified 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Engineering 1 4%
Other 0 0%
Unknown 5 22%