Heterochrony and sexual dimorphism in the pigtailed macaque (Macaca nemestrina).

Heterochrony and sexual dimorphism in the pigtailed macaque (Macaca nemestrina).
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辫子猕猴(Macaca nemestrina)的异时性和性别二态性。

DOI:
10.1002/ajpa.1330930307
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发表时间:
1994
影响因子:
2.8
通讯作者:
Swindler,DR
Swindler,DR
中科院分区:
地球科学2区
文献类型:
--
作者:
German,RZ;Hertweck,DW;Sirianni,JE;Swindler,DR

文献摘要

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体细胞生长不是一个简单的线性过程,增长速度是恒定的。最成功的尝试,以量化增长作为年龄或大小的函数已采用非线性技术。灵长类动物生长的性二态性,体重与年龄,使用非线性模型,用猪尾猕猴(Macaca nemestrina)的生长数据,检查Quaranni和Swindler([1985]Growth and Development of the Pigtailed Macaque,博卡Raton,FL:CRC Press)。几个指数增长模型的最佳拟合是Gompertz曲线: \documentclass{article}\pagestyle{empty}\开始{document}\end{document}还拟合了不同的多阶段模型,其中每个阶段代表不同的指数分量。两阶段模型被证明是最好的(女性R2= 0.84,男性R2 = 0.91),表明有两个生长突增期,一个在婴儿期,一个在青春期。男性和女性的第一次高潮开始和结束的时间是相同的,但男性的速率和该阶段的渐近线值更大。第二次爆发的时间较早,女性的增长速度比男性小。这些物种的两性异形不是一个简单的速率变化,而是一个复杂的相互作用的时间和速率在整个生长期。不可能用数据的线性、多项式或单相模型来分离这些实体。虽然这些数据和结果补充了许多现有的成人二型性的工作,他们也强调了重要的作用,个体发育数据在阐明潜在的进化机制,产生性二型性。© 1994 Wiley利斯公司
Somatic growth is not a simple linear process with a constant rate of growth. The most successful attempts to quantify growth as a function of age or size have employed nonlinear techniques. Sexual dimorphism of primate growth, weight vs. age, was examined using nonlinear models with Sirianni and Swindler's ([1985]Growth and Development of the Pigtailed Macaque, Boca Raton, FL: CRC Press) growth data on the pigtailed macaque (Macaca nemestrina). The best fit of several exponential growth models was the Gompertz curve: \documentclass{article}\pagestyle{empty}\begin{document}\end{document}Different multiple phase models were also fit, where each phase represents a distinct exponential component. The two‐phase models proved to be the best (R2= .0.84 for females, 0.91 for males), suggesting that there are two growth spurts, one in infancy and one at puberty. The timing of the beginning and end of the first spurt is the same in males and females, but the rate, and value of the asymptote for this phase, is greater in males. The timing of the second spurt is earlier, and the rate of growth for this spurt is smaller in females than males. The sexual dimorphism in these species is not a simple rate change, but a complex interaction of timing and rate over the entire period of growth. It would be impossible to separate these entities with a linear, polynomial, or single‐phase model of the data. While these data and results complement much of the existing work on adult dimorphism, they also emphasize the vital role that ontogenetic data have in elucidating the underlying evolutionary mechanisms that generate sexual dimorphism. © 1994 Wiley‐Liss, Inc.