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利用粪便孕烷酮代谢物浓度和身体形态测量学诊断自由放养儒艮的怀孕状况:种群应用。

Diagnosing pregnancy in free-ranging dugongs using fecal progesterone metabolite concentrations and body morphometrics: a population application.

机构信息

School of Biological Sciences, The University of Queensland, St. Lucia, Qld 4072, Australia.

出版信息

Gen Comp Endocrinol. 2012 May 15;177(1):82-92. doi: 10.1016/j.ygcen.2012.02.008. Epub 2012 Feb 24.

Abstract

Assessing reproductive status and monitoring reproductive rates is important in the effective management of vulnerable marine mammal species such as the dugong (Dugong dugon). Knowledge of the reproductive physiology of this species is limited, and determining reproductive parameters (e.g., sexual maturation, pregnancy, and reproductive senescence) has been restricted by a lack of non-lethal methods for assessing reproductive status in free-ranging individuals. The aim of this study was to develop a method to identify pregnant individuals in a wild dugong population. Using an enzymeimmunoassay, we quantified concentrations of fecal progesterone metabolites (fP) in 322 dugongs, including confirmed pregnant females (n=10), presumed non-pregnant adult females (n=25), juvenile females (n=24), subadult females (n=41), adult females of unknown pregnancy state (n=63), and males of all sizes (n=159). External body morphometrics of each dugong were measured, and confirmation of pregnancy in adult female dugongs was determined by ultrasonography or observation of subsequent neonates. Concentrations of fP were different between sexes and reproductive size classes (P<0.001), and ∼30-fold higher in confirmed pregnant dugongs (2017-7760 ng/g) compared to presumed non-pregnant females (30-221 ng/g), juvenile females (29-195 ng/g), and males (24-261 ng/g) (P<0.001). Body measures of maximum and anal girths, and teat length were all greater in confirmed pregnant females than presumed non-pregnant females (all P<0.05). We evaluated a Discriminant Function Analysis (DFA) to provide a model for predicting pregnant and non-pregnant dugongs. Cross-validated results showed that the DFA correctly classified 100% of pregnant and non-pregnant females using fP concentrations, body length, fineness ratio (an index of body shape), and teat length (a female reproductive trait). Using the DFA model, we classified the pregnancy status of all female dugongs and identified a total of 30 females as pregnant and 133 females as non-pregnant from the sampled population over the sample period. Pregnant dugongs in the Moreton Bay population are characterized by fecal progesterone metabolite concentrations > 1000 ng/g, body length ≥ 260 cm, maximum girth ≥ 215 cm, anal girth ≥ 126 cm, and teat length ≥ 5 cm long. In summary, analysis of fP concentrations in combination with body morphometrics may be used to diagnose pregnancy in free-ranging dugongs, and provides a new tool to monitor breeding rates of wild sirenian populations.

摘要

评估繁殖状况和监测繁殖率对于有效管理脆弱的海洋哺乳动物物种(如儒艮(Dugong dugon))非常重要。该物种的生殖生理学知识有限,并且由于缺乏用于评估自由放养个体繁殖状况的非致命方法,因此确定繁殖参数(例如性成熟,怀孕和生殖衰老)受到限制。本研究的目的是开发一种方法来识别野生儒艮种群中的怀孕个体。我们使用酶联免疫吸附测定法(ELISA),对包括 10 只已确认怀孕的雌性在内的 322 只儒艮(Dugong dugon)进行了粪便孕激素代谢产物(fP)浓度的定量分析,包括已确认的未怀孕成年雌性(n=25),幼雌(n=24),亚成年雌性(n=41),成年雌性未知怀孕状态(n=63)和所有大小的雄性(n=159)。测量了每只儒艮的外部身体形态测量值,并通过超声检查或观察随后的幼仔来确定成年雌性儒艮的怀孕情况。fP 的浓度在性别和生殖大小类别之间存在差异(P<0.001),并且在已确认的怀孕儒艮(2017-7760ng/g)中比假定的未怀孕雌性(30-221ng/g),幼雌(29-195ng/g)和雄性(24-261ng/g)高约 30 倍(P<0.001)。已确认怀孕的雌性的最大和肛门周长以及乳头长度均大于假定的未怀孕雌性(均 P<0.05)。我们评估了判别函数分析(DFA),以提供一种预测怀孕和未怀孕儒艮的模型。交叉验证结果表明,DFA 使用 fP 浓度,体长,细度比(身体形状指数)和乳头长度(雌性生殖特征)正确分类了 100%的怀孕和未怀孕雌性。使用 DFA 模型,我们对所有雌性儒艮的怀孕状况进行了分类,并在采样期间从采样人群中确定了总共 30 只雌性怀孕和 133 只雌性未怀孕。莫顿湾(Moreton Bay)种群中的怀孕儒艮的粪便孕激素代谢产物浓度> 1000ng/g,体长≥260cm,最大周长≥215cm,肛门周长≥126cm,乳头长度≥5cm。总之,分析游离孕激素浓度结合身体形态计量学可能用于诊断自由放养儒艮的怀孕情况,并为监测野生海牛种群的繁殖率提供了新工具。

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