Combining reproductive endocrinology and ROC analysis to identify changes with sex, age, and pregnancy status in botos Inia geoffrensis

Author:

Robeck TR1,Amaral RS2,Steinman KJ3,Blum JL45,Martin AR6,Montano GA13,Bergfelt DR7,da Silva VMF8

Affiliation:

1. SeaWorld Florida, Orlando, FL 32821, USA

2. Federal Institute of Education, Science and Technology of the Amazonas-IFAM/CMZL, Av. Cosme Ferreira 8045, Manaus 69086-475, Brazil

3. Species Preservation Laboratory, SeaWorld California, 2595 Ingraham Rd, San Diego, CA 92109, USA

4. Department of Environmental Medicine, New York University School of Medicine, Tuxedo, NY 10987, USA

5. Product Safety Labs, 2394 US Highway 130, Dayton, NJ 08810, USA

6. Centre for Remote Environments, University of Dundee, Nethergate, Dundee DD1 4HN, UK

7. Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Basseterre KN 00265, Saint Kitts and Nevis, West Indies

8. Laboratory of Aquatic Mammals, National Institute of Amazonian Research-INPA, Av André Araújo 2936, Manaus 69067-375, Brazil

Abstract

Reproductive hormone profiles were described against physical characteristics during growth and development in male and female botos (Amazon River dolphins Inia geoffrensis) and during pregnancy. We determined hormone concentrations in 226 wild botos located in Mamirauá Reserve, Amazonas State, Brazil, as a part of the long-term population monitoring program known as Projeto Boto. Additionally, we applied receiver operator characteristic (ROC) analysis to compare diagnostic probabilities of using ultrasound, hormones, or combinations of these to detect pregnancy. Based on single-point analysis of serum testosterone (T), males with <2.5 ng ml-1 T and a mean 163 cm total body length were classified as immature, 2.5 to <4.9 ng ml-1 T and 183 cm as pubescent, and >5 ng ml-1 T and 227 cm as adult botos. For females, only progesterone (P4), T, relaxin (Rlx), and the combination of P4 × T2 were significantly different between non-pregnant and pregnant females, but androstenedione (A4) and the P4:T ratio were not. ROC analysis indicated that ultrasound and P4 × T2 were considered excellent as pregnancy diagnostic tests, and P4, T, and Rlx were classified as good predictors. Results indicated that negative and positive predictive probabilities from each diagnostic test could be used to accurately predict a pregnancy and calf loss rate of 13% for this population. Application of these methods for evaluating wild population reproductive success from a single serum sample can now be used for health evaluations of wild populations of boto and provide timely information for the development or evaluation of any conservation initiatives.

Publisher

Inter-Research Science Center

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