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Can a Threshold Value Be Used to Classify Chondrichthyan Reproductive Modes: Systematic Review and Validation Using an Oviparous Species

Overview of attention for article published in PLOS ONE, December 2012
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Title
Can a Threshold Value Be Used to Classify Chondrichthyan Reproductive Modes: Systematic Review and Validation Using an Oviparous Species
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050196
Pubmed ID
Authors

Holly A. Frazer, Megan Ellis, Charlie Huveneers

Abstract

The maternal-embryonic nutritional relationship in chondrichthyans has been poorly explored. Consequently, accurately discerning between their different reproductive modes is difficult; especially lecithotrophy and incipient histotrophy. This present study is the first to assess changes in mass throughout embryonic development of an oviparous chondrichthyan other than Scyliorhinus canicula. Heterodontus portusjacksoni egg cases were collected and used to quantify the gain or loss of wet mass, dry mass, water content, inorganic and organic matter from freshly deposited eggs (without macroscopically visible embryos) to near full-term embryos. A loss in organic mass of ~40% found from this study is approximately double the values previously obtained for S. canicula. This raises concerns for the validity of the current threshold value used to discern between lecithotrophic and matrotrophic species. Accordingly, 26 studies published in the primary literature between 1932 and 2012 addressing the maternal-embryonic nutritional relationship in sharks were reviewed. Values for changes in mass reported for over 20 different shark species were synthesised and recalculated, revealing multiple typographical, transcribing, calculation and rounding errors across many papers. These results suggest that the current threshold value of -20% established by previous studies is invalid and should be avoided to ascertain the reproductive mode of aplacental viviparous species.

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Geographical breakdown

Country Count As %
New Zealand 1 3%
Chile 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Bachelor 6 18%
Student > Master 4 12%
Professor > Associate Professor 3 9%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 62%
Biochemistry, Genetics and Molecular Biology 3 9%
Environmental Science 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 4 12%