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Mitochondrial genome evolution in species belonging to the Phialocephala fortinii s.l. - Acephala applanata species complex

Overview of attention for article published in BMC Genomics, May 2012
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Title
Mitochondrial genome evolution in species belonging to the Phialocephala fortinii s.l. - Acephala applanata species complex
Published in
BMC Genomics, May 2012
DOI 10.1186/1471-2164-13-166
Pubmed ID
Authors

Angelo Duò, Rémy Bruggmann, Stefan Zoller, Matthias Bernt, Christoph R Grünig

Abstract

Mitochondrial (mt) markers are successfully applied in evolutionary biology and systematics because mt genomes often evolve faster than the nuclear genomes. In addition, they allow robust phylogenetic analysis based on conserved proteins of the oxidative phosphorylation system. In the present study we sequenced and annotated the complete mt genome of P. subalpina, a member of the Phialocephala fortinii s.l. - Acephala applanata species complex (PAC). PAC belongs to the Helotiales, which is one of the most diverse groups of ascomycetes including more than 2,000 species. The gene order was compared to deduce the mt genome evolution in the Pezizomycotina. Genetic variation in coding and intergenic regions of the mtDNA was studied for PAC to assess the usefulness of mt DNA for species diagnosis.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
United States 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 23%
Student > Ph. D. Student 10 21%
Researcher 9 19%
Student > Bachelor 5 11%
Lecturer > Senior Lecturer 2 4%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 57%
Biochemistry, Genetics and Molecular Biology 9 19%
Environmental Science 2 4%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2012.
All research outputs
#20,156,537
of 22,664,644 outputs
Outputs from BMC Genomics
#9,242
of 10,615 outputs
Outputs of similar age
#148,268
of 163,497 outputs
Outputs of similar age from BMC Genomics
#74
of 80 outputs
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