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The quantification of spermatozoa by real-time quantitative PCR, spectrophotometry, and spermatophore cap size.
MedLine Citation:
PMID:  21429105     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Many animals, such as crustaceans, insects, and salamanders, package their sperm into spermatophores, and the number of spermatozoa contained in a spermatophore is relevant to studies of sexual selection and sperm competition. We used two molecular methods, real-time quantitative polymerase chain reaction (RT-qPCR) and spectrophotometry, to estimate sperm numbers from spermatophores. First, we designed gene-specific primers that produced a single amplicon in four species of ambystomatid salamanders. A standard curve generated from cloned amplicons revealed a strong positive relationship between template DNA quantity and cycle threshold, suggesting that RT-qPCR could be used to quantify sperm in a given sample. We then extracted DNA from multiple Ambystoma maculatum spermatophores, performed RT-qPCR on each sample, and estimated template copy numbers (i.e. sperm number) using the standard curve. Second, we used spectrophotometry to determine the number of sperm per spermatophore by measuring DNA concentration relative to the genome size. We documented a significant positive relationship between the estimates of sperm number based on RT-qPCR and those based on spectrophotometry. When these molecular estimates were compared to spermatophore cap size, which in principle could predict the number of sperm contained in the spermatophore, we also found a significant positive relationship between sperm number and spermatophore cap size. This linear model allows estimates of sperm number strictly from cap size, an approach which could greatly simplify the estimation of sperm number in future studies. These methods may help explain variation in fertilization success where sperm competition is mediated by sperm quantity.
Authors:
Jacqueline M Doyle; Cory R McCormick; J Andrew Dewoody
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Molecular ecology resources     Volume:  11     ISSN:  1755-0998     ISO Abbreviation:  Mol Ecol Resour     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-03-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101465604     Medline TA:  Mol Ecol Resour     Country:  England    
Other Details:
Languages:  eng     Pagination:  101-6     Citation Subset:  IM    
Copyright Information:
© 2010 Blackwell Publishing Ltd.
Affiliation:
Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907, USA.
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