Search for other papers by Camila N Ortiz in
Google Scholar
PubMed
Search for other papers by Annelyn Torres-Reverón in
Google Scholar
PubMed
Department of Internal Medicine, Ponce Health Sciences University, Ponce, Puerto Rico, USA
Search for other papers by Caroline B Appleyard in
Google Scholar
PubMed
using a metabolomics-based approach to provide a better understanding of the pathophysiology and potentially mine this information for early diagnosis of endometriosis ( Dutta et al. 2012 , Ghazi et al. 2016 , Dutta et al. 2018 , Li et al
Search for other papers by Emmanuel Amabebe in
Google Scholar
PubMed
Search for other papers by Steven Reynolds in
Google Scholar
PubMed
Search for other papers by Dilly O C Anumba in
Google Scholar
PubMed
spectroscopy . Metabolomics 12 67. ( https://doi.org/10.1007/s11306-016-0985-x ) 27065760 Ansari A Lee H You YA Jung Y Park S Kim SM Hwang GS Kim YJ 2020 Identification of potential biomarkers in the cervicovaginal fluid by metabolic
Search for other papers by Steven Reynolds in
Google Scholar
PubMed
Search for other papers by Sarah J Calvert in
Google Scholar
PubMed
Search for other papers by Stephen J Walters in
Google Scholar
PubMed
Search for other papers by Martyn N Paley in
Google Scholar
PubMed
Search for other papers by Allan A Pacey in
Google Scholar
PubMed
to monitor temporal changes in sperm metabolomes as a result of, for example, capacitation. Furthermore, metabolomics could be used in clinical analysis, where once a metabolomic assessment had been made, the same sperm could be used in assisted
Biological Sciences Department, College of Science, King Faisal University, Al Ahsa, Saudi Arabia
Search for other papers by Noof Abdulrahman Alrabiah in
Google Scholar
PubMed
Search for other papers by Constantine A Simintiras in
Google Scholar
PubMed
Search for other papers by Alexander C O Evans in
Google Scholar
PubMed
Search for other papers by Patrick Lonergan in
Google Scholar
PubMed
Search for other papers by Trudee Fair in
Google Scholar
PubMed
biochemical profile of bovine FF with a particular emphasis on the usefulness of the FF metabolomic profile as a non-invasive predictor of bovine oocyte developmental potential ( Fair 2014 ). The fatty acid and amino acid profiles of bovine FF were reported to
Search for other papers by Kirsten S Wilson in
Google Scholar
PubMed
Search for other papers by Desheng Li in
Google Scholar
PubMed
Search for other papers by Iain Valentine in
Google Scholar
PubMed
Search for other papers by Alan McNeilly in
Google Scholar
PubMed
Search for other papers by Simon Girling in
Google Scholar
PubMed
Search for other papers by Rengui Li in
Google Scholar
PubMed
Search for other papers by Yingmin Zhou in
Google Scholar
PubMed
Search for other papers by Lynn Vanhaecke in
Google Scholar
PubMed
Search for other papers by W Colin Duncan in
Google Scholar
PubMed
Leibniz Institute for Zoo and Wildlife Research, Department Reproduction Biology, Berlin, Germany
Search for other papers by Jella Wauters in
Google Scholar
PubMed
Graphical abstract
Abstract
Giant pandas are mono-estrus seasonal breeders, with the breeding season typically occurring in the spring. Successful fertilization is followed by an embryonic diapause, of variable length, with birth in the late summer/autumn. There is a need for additional understanding of giant panda reproductive physiology, and the development of enhanced biomarkers for impending proestrus and peak fertility. We aimed to determine the utility of non-invasive androgen measurements in the detection of both proestrus and estrus. Urine from 20 cycles (−40 days to +10 days from peak estrus) from 5 female giant pandas was analyzed for estrogen, progestogens and androgens (via testosterone and DHEA assays), and hormone concentrations were corrected against urinary specific gravity. Across proestrus, estrogens increased while progestogens and androgens decreased – at the point of entry into proestrus, androgens (as detected by the testosterone assay) decreased prior to progestogens and gave 4 days advanced warning of proestrus. At the time of peak estrus, androgens (as detected by the DHEA assay) were significantly increased at the time of the decrease in estrogen metabolites from the peak, acting as an alternative confirmatory indicator of the fertile window. This novel finding allows for enlargement of the preparative window for captive breeding and facilitates panda management within breeding programmes. Androgens allow an enhanced monitoring of giant panda estrus, not only advancing the warning of impending proestrus, but also prospectively identifying peak fertility.
Lay summary
Giant pandas have one chance at pregnancy per year. The 2-day fertile window timing varies by year and panda. This is monitored by measuring the level of estrogens in the urine, which increase, indicating an upcoming fertile period. After 1–2 weeks of increase, estrogens peak and fall, marking the optimal fertile time. We tested other hormones to see if we can predict the fertile window in advance, and the specific fertile time with more accuracy. In 20 breeding seasons from 5 females, we found androgens, usually thought of as male hormones, had an important role. Testosterone gives 4 days advanced warning of estrogens increasing. DHEA identified peak estrogen and the fertile time before needing to see a confirmed decrease in estrogen itself. Therefore, androgens help improve monitoring of the giant panda breeding season, giving early warning of fertility, key in facilitating captive breeding and giant panda conservation.
Colorado State University, Fort Collins, Colorado, USA
Search for other papers by Rolando Pasquariello in
Google Scholar
PubMed
Search for other papers by Mingxiang Zhang in
Google Scholar
PubMed
Omaha’s Henry Doorly Zoo and Aquarium, Omaha, Nebraska, USA
Search for other papers by Jason R Herrick in
Google Scholar
PubMed
Search for other papers by Alison F Ermisch in
Google Scholar
PubMed
Search for other papers by John Becker in
Google Scholar
PubMed
Search for other papers by William B Schoolcraft in
Google Scholar
PubMed
Search for other papers by Jennifer P Barfield in
Google Scholar
PubMed
Search for other papers by Ye Yuan in
Google Scholar
PubMed
Omaha’s Henry Doorly Zoo and Aquarium, Omaha, Nebraska, USA
Search for other papers by Rebecca L Krisher in
Google Scholar
PubMed
RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data . Analytical Chemistry 86 6812 – 6817 . ( https://doi.org/10.1021/ac501530d ) Broeckling CD Ganna A Layer M Brown K Sutton B Ingelsson
APC Microbiome Ireland, University College Cork, Cork, Ireland
Search for other papers by S M O’Mahony in
Google Scholar
PubMed
Search for other papers by P Comizzoli in
Google Scholar
PubMed
animals. The integration of technologies to identify microbes and analyze their functions (including metagenomics, meta-transcriptomics, metabolomics, and mass spectrometry) will advance our understanding of the complex relationships between reproductive
Department of Gynecology, Ms.Clinic MayOne, Kashihara, Japan
Search for other papers by Hiroshi Kobayashi in
Google Scholar
PubMed
Aska Ladies Clinic, Nara, Japan
Search for other papers by Hiroshi Shigetomi in
Google Scholar
PubMed
Department of Gynecology, Ms.Clinic MayOne, Kashihara, Japan
Search for other papers by Shogo Imanaka in
Google Scholar
PubMed
to controls. Metabolomics analysis revealed that citrate, alpha-ketoglutarate (α-KG), and succinate were elevated in endometriosis ( Jana et al. 2013 ) whereas malate was decreased ( Atkins et al. 2019 ). The cause for the elevated citrate, α
Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, Australia
Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
Search for other papers by Darren J X Chow in
Google Scholar
PubMed
Search for other papers by Philip Wijesinghe in
Google Scholar
PubMed
SUPA, School of Physics and Astronomy, University of St Andrews, North Haugh, St Andrews, Fife, United Kingdom
School of Biological Sciences, The University of Adelaide, Adelaide, Australia
Department of Physics, College of Science, Yonsei University, Seoul, South Korea
Search for other papers by Kishan Dholakia in
Google Scholar
PubMed
Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, Australia
Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
Search for other papers by Kylie R Dunning in
Google Scholar
PubMed
have a role in analysing data from non-invasive metabolomic and secretory profiles from the embryo during culture. Consequently, this may lead to improved culture media formulations and regimens. Studies using AI to predict embryo developmental
Search for other papers by Mary Ann Ottinger in
Google Scholar
PubMed
Search for other papers by Shailaja Mani in
Google Scholar
PubMed
Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
Search for other papers by Sonja Krüger in
Google Scholar
PubMed
Search for other papers by Brent Coverdale in
Google Scholar
PubMed
Search for other papers by Sandi Willows-Munro in
Google Scholar
PubMed
Search for other papers by Leigh Combrink in
Google Scholar
PubMed
domesticated birds encompass a wide array of species, including those grown for agricultural food production and pets. The domestic chicken has been extensively studied, including genomics, metabolomics, characterization of bacterial populations, effects of