首页> 外文期刊>Zoological Journal of the Linnean Society >Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname
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Dealing with allometry in linear and geometric morphometrics: a taxonomic case study in the Leporinus cylindriformis group (Characiformes: Anostomidae) with description of a new species from Suriname

机译:处理线性和几何形态计量学中的异速测量法:Leporinus cylindriformis组(Characiformes:Anostomidae)的分类学案例研究,描述了苏里南的一个新物种

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To achieve maximum efficacy, taxonomic studies that seek to distinguish amongst species must first account for allometric shape variation within species. Two recently developed software packages (SMATR and MorphoJ) offer regression-based allometric approaches that are notable for their statistical power and ease of use and that may prove highly useful to taxonomists working with linear or geometric morphometric data. We investigate species delimitation of the slender-bodied fishes in the Leporinus cylindriformis group using these programs and demonstrate the utility of the allometric corrections that they provide. Without allometric correction, many pairs of species are difficult to distinguish on the basis of morphometrics, but once regressions are used to account for marked allometric variation within species, most of the recognized species in this group can be readily distinguished with linear or geometric morphometrics, particularly using variation in the depth of the body. Both approaches returned congruent patterns of separation amongst putative species, but the geometric approach in MorphoJ distinguished amongst four more pairs of species than did the linear approach in SMATR and appears to provide slightly more statistical power. Based on distinctive morphometrics, meristics, and coloration, a highly elongate species of Leporinus from the Suriname, Corantijn, and Coppename rivers of Suriname is described herein as a new species, Leporinus apollo sp. nov. The unique L. cylindriformis holotype from Porto de Moz, Brazil differs in morphology, meristics, and pigmentation from specimens commonly referred to that species from the main basin of the Amazon; the latter specimens may represent an additional undescribed species. The L. cylindriformis holotype itself may represent a rare species or a specimen collected at the edge of its native range. Measurements of the holotype and paratype of Leporinus niceforoi, which were collected in the Amazonian slope of Colombia, differ substantially from similarly pigmented and putatively conspecific specimens from Amazonian portions of Ecuador and Peru. Recently collected specimens from Colombia are needed to determine whether the observed morphometric variation encompassed by the current concept of L. niceforoi indicates a morphocline within a single species, suggests the presence of multiple cryptic species, or results from shrinkage of the types. In all these cases, linear or geometric morphometric data can reliably differentiate amongst species, but only after one accounts for allometric shape variation. The new SMATR and MorphoJ software packages both offer easy and effective approaches to such allometrically informed taxonomy, and may prove useful to any systematist working on taxa that change shape as they grow
机译:为了获得最大功效,试图区分物种的分类学研究必须首先考虑物种内部的异形形状变异。最近开发的两个软件包(SMATR和MorphoJ)提供了基于回归的异速测量方法,这些方法以其统计能力和易用性而著称,对于使用线性或几何形态测量数据的分类学家来说,这些方法可能非常有用。我们使用这些程序调查了Leporinus cylindriformis组中细长鱼的物种划界,并证明了它们提供的异度校正的效用。如果没有异位校正,则很难基于形态计量学来区分许多对物种,但是一旦使用回归来解释物种内部明显的异位变异,则该组中的大多数公认物种都可以通过线性或几何形态学容易地加以区分,特别是利用身体深度的变化。两种方法都返回了假定物种之间的一致分离模式,但是与SMATR中的线性方法相比,MorphoJ中的几何方法在四对物种之间进行了区分,并且似乎提供了更多的统计能力。基于独特的形态学,特征和颜色,本文将来自苏里南苏里南,科兰亭和科佩纳河的高度伸长的Leporinus物种描述为新物种Leporinus apollo sp。十一月巴西Porto de Moz独特的圆柱状L. cylindriformis全同型在形态,特征和色素沉着方面有所不同,这些标本通常来自亚马逊主盆地的该物种的标本。后面的标本可能代表其他未描述的物种。圆柱状乳杆菌全型本身可能代表稀有物种或在其天然范围边缘收集的标本。在哥伦比亚的亚马逊河山坡上收集的尼斯细孢子虫的全型和副型的测量结果与厄瓜多尔和秘鲁的亚马逊河地区相似的色素和假定的同种标本有很大不同。需要从哥伦比亚最近收集的标本来确定当前的尼斯乳杆菌概念所涵盖的观察到的形态变化是否表明一个物种内存在吗啉,暗示存在多个隐性物种,还是该类型萎缩的结果。在所有这些情况下,线性或几何形态计量数据都可以可靠地区分物种,但只有在考虑了异形形状变化之后。新的SMATR和MorphoJ软件包都提供了简便而有效的方法来实现此类异速分类信息分类,并且可能对从事分类工作且随着形状变化而改变其形状的任何系统论者都是有用的

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