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Populus tremula (European aspen) shows no evidence of sexual dimorphism

Overview of attention for article published in BMC Plant Biology, October 2014
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Title
Populus tremula (European aspen) shows no evidence of sexual dimorphism
Published in
BMC Plant Biology, October 2014
DOI 10.1186/s12870-014-0276-5
Pubmed ID
Authors

Kathryn M Robinson, Nicolas Delhomme, Niklas Mähler, Bastian Schiffthaler, Jenny Önskog, Benedicte R Albrectsen, Pär K Ingvarsson, Torgeir R Hvidsten, Stefan Jansson, Nathaniel R Street

Abstract

BackgroundEvolutionary theory suggests that males and females may evolve sexually dimorphic phenotypic and biochemical traits concordant with each sex having different optimal strategies of resource investment to maximise reproductive success and fitness. Such sexual dimorphism would result in sex biased gene expression patterns in non-floral organs for autosomal genes associated with the control and development of such phenotypic traits.ResultsWe examined morphological, biochemical and herbivory traits to test for sexually dimorphic resource allocation strategies within collections of sexually mature and immature Populus tremula (European aspen) trees. In addition we profiled gene expression in mature leaves of sexually mature wild trees using whole-genome oligonucleotide microarrays and RNA-Sequencing.ConclusionsWe found no evidence of sexual dimorphism or differential resource investment strategies between males and females in either sexually immature or mature trees. Similarly, single-gene differential expression and machine learning approaches revealed no evidence of large-scale sex biased gene expression. However, two significantly differentially expressed genes were identified from the RNA-Seq data, one of which is a robust diagnostic marker of sex in P. tremula.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 3 5%
Norway 1 2%
Canada 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 13 20%
Student > Master 6 9%
Professor 6 9%
Student > Doctoral Student 4 6%
Other 15 23%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 64%
Biochemistry, Genetics and Molecular Biology 10 16%
Unspecified 2 3%
Environmental Science 1 2%
Computer Science 1 2%
Other 2 3%
Unknown 7 11%