[MARMAM] New paper on determining pregnancy status in harbour seals from progesterone concentrations

Monica Arso Civil mac64 at st-andrews.ac.uk
Wed Jun 17 09:27:44 PDT 2020


Dear all,
We are pleased to announce the publication of the following paper, which is now available online:

Hall, A., Hewitt, R., and M. Arso Civil (2020). "Determining pregnancy status in harbour seals using progesterone concentrations in blood and blubber." General and Comparative Endocrinology 295: 113529. https://doi.org/10.1016/j.ygcen.2020.113529

Abstract:

Pregnancy status in harbour seals can be estimated from concentrations of progesterone in blubber as well as in blood samples, which are significantly higher in pregnant than non-pregnant animals. This study investigated the accuracy of estimating pregnancy rates using samples from live-captured and released harbour seals from three regions around Scotland, coupled with observed pregnancy outcomes. Concentrations of progesterone in blood (plasma) and blubber were obtained during the capture of animals early in the year (February to May). Individual animals were identified from the unique markings on their pelage, with a proportion (n = 51) of females re-sighted during the subsequent breeding season and the reproductive outcomes determined (pregnant or possibly non-pregnant) during observations from long-term photo-identification studies. Generalised linear models with a binomial link function were fitted to training (60% of the data) and test datasets (40% of the data) to estimate pregnancy status from progesterone concentrations in blubber, plasma or both, and a received operating curves (ROC) approach was used to evaluate the performance of each classifier. The accuracy for the plasma concentrations was 85% with a high classification performance (as estimated from an area under the curve (AUC) of 0.82). The Youden method to determine the cut-point (threshold) and bootstrapping the training dataset resulted in a cut-point of 58 ng ml−1 (95th percentiles, 25–102 ng ml−1). For blubber, the accuracy was 77% (AUC = 0.86) with an optimal cut-point of 56 ng g−1 (95th percentiles, 26–223 ng g−1). In the combined analysis (both blubber and plasma), the accuracy was 87.5% (AUC 0.81) with the cut-points of 72 ng ml−1 (95th percentiles, 25–103 ng ml−1) in plasma and 56 ng g−1 (95th percentiles, 26–223 ng g−1) in blubber. These thresholds were then used to estimate the pregnancy proportions among adult females at the three study sites, including those that were not included in the photo-id studies. Proportions were high at all sites, (63%–100%) regardless of which matrices were used and were not statistically significantly different from each other but suggested that analysing concentrations in both sample matrices would minimise the uncertainty.

A pdf copy of the paper is available from https://authors.elsevier.com/a/1bFMI3oGhLXld

Please get in touch for any questions regarding our work (ajh7 at st-andrews.ac.uk<mailto:ajh7 at st-andrews.ac.uk>)

Kind regards,
Ailsa Hall, Rebecca Hewitt and Monica Arso Civil.




Dr Mònica Arso Civil
Research Fellow
Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews
St Andrews, Fife
KY16 8LB

Tel: 01334 463630
Twitter: @monicaarso
http://biology.st-andrews.ac.uk/contact/staffProfile.aspx?sunid=mac64

Harbour Seal Decline Project: https://synergy.st-andrews.ac.uk/harbourseals/
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The University of St Andrews is a charity registered in Scotland (SC013532)

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