Shen Tsung-Jen, Kuo Chi-Chien, Wang Chin-Fah, Huang Kun-Wei
Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taichung, 402, Taiwan.
Exp Appl Acarol. 2014 Jul;63(3):361-75. doi: 10.1007/s10493-014-9787-x. Epub 2014 Mar 20.
Unambiguous classification is a prerequisite for the study of polymorphism, but accurate delimitation of continuous morphological characters can be challenging. Finite mixture modeling is a rigorous and flexible approach for delimiting continuous variables with unknown prior membership, but its application to morphological studies remains limited. In this study, the lengths of scapular setae of the eriophyoid mite Abacarus panticis Keifer collected from 18 sites in Taiwan were used as an example to evaluate the eligibility of finite mixture models. We then tested the hypothesis that longer scapular setae can facilitate dispersal. Lastly, we investigate morphological variation in various seta morphs by geometric morphometric techniques. Finite mixture models can satisfactorily classify scapular setae of A. panticis into long and short seta morphs. Abacarus panticis of the long morph only occurred in five sites whereas the short seta morph existed in all study sites. Geometric morphometric analyses revealed a more elongated coxal area in individuals of long morph than in those of short morph. Because the short morph is more widespread in geographical distribution than the long morph, longer scapular setae seem unlikely a specialized adaptation for dispersal. Further studies should capitalize on the finite mixture model in the delimitation of continuous morphological characters.
明确的分类是多态性研究的前提条件,但对连续形态特征进行准确界定可能具有挑战性。有限混合模型是一种严谨且灵活的方法,用于界定具有未知先验归属的连续变量,但其在形态学研究中的应用仍然有限。在本研究中,以从台湾18个地点采集的瘿螨科瘿螨Abacarus panticis Keifer的肩胛刚毛长度为例,评估有限混合模型的适用性。然后,我们检验了较长的肩胛刚毛有助于扩散的假设。最后,我们通过几何形态测量技术研究各种刚毛形态的形态变异。有限混合模型能够令人满意地将A. panticis的肩胛刚毛分为长刚毛形态和短刚毛形态。长刚毛形态的A. panticis仅出现在五个地点,而短刚毛形态存在于所有研究地点。几何形态测量分析显示,长刚毛形态个体的基节区域比短刚毛形态个体的更细长。由于短刚毛形态在地理分布上比长刚毛形态更广泛,较长的肩胛刚毛似乎不太可能是一种专门的扩散适应性特征。进一步的研究应利用有限混合模型来界定连续形态特征。