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Evidence for Paternal Leakage in Hybrid Periodical Cicadas (Hemiptera: Magicicada spp.)

Overview of attention for article published in PLOS ONE, September 2007
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Title
Evidence for Paternal Leakage in Hybrid Periodical Cicadas (Hemiptera: Magicicada spp.)
Published in
PLOS ONE, September 2007
DOI 10.1371/journal.pone.0000892
Pubmed ID
Authors

Kathryn M. Fontaine, John R. Cooley, Chris Simon

Abstract

Mitochondrial inheritance is generally assumed to be maternal. However, there is increasing evidence of exceptions to this rule, especially in hybrid crosses. In these cases, mitochondria are also inherited paternally, so "paternal leakage" of mitochondria occurs. It is important to understand these exceptions better, since they potentially complicate or invalidate studies that make use of mitochondrial markers. We surveyed F1 offspring of experimental hybrid crosses of the 17-year periodical cicadas Magicicada septendecim, M. septendecula, and M. cassini for the presence of paternal mitochondrial markers at various times during development (1-day eggs; 3-, 6-, 9-week eggs; 16-month old 1st and 2nd instar nymphs). We found evidence of paternal leakage in both reciprocal hybrid crosses in all of these samples. The relative difficulty of detecting paternal mtDNA in the youngest eggs and ease of detecting leakage in older eggs and in nymphs suggests that paternal mitochondria proliferate as the eggs develop. Our data support recent theoretical predictions that paternal leakage may be more common than previously estimated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
France 1 2%
Sweden 1 2%
New Zealand 1 2%
Japan 1 2%
Unknown 52 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Ph. D. Student 10 18%
Student > Bachelor 7 12%
Student > Master 7 12%
Student > Postgraduate 3 5%
Other 8 14%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 51%
Biochemistry, Genetics and Molecular Biology 10 18%
Environmental Science 5 9%
Philosophy 1 2%
Computer Science 1 2%
Other 3 5%
Unknown 8 14%