Opell Brent D, Hendricks Mary L
Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
J Exp Biol. 2009 Sep 15;212(18):3026-34. doi: 10.1242/jeb.030064.
The sticky viscous capture threads in araneoid orb-webs are responsible for retaining insects that strike these webs. We used features of 16 species' threads and the stickiness that they expressed on contact plates of four widths to model their adhesive delivery systems. Our results confirm that droplets at the edges of thread contact contribute the greatest adhesion, with each successively interior droplet contributing only 0.70 as much adhesion. Thus, regardless of the size and spacing of a thread's large primary droplets, little adhesion accrues beyond a span of 20 droplets. From this pattern we computed effective droplet number (EDN), an index that describes the total droplet equivalents that contribute to the stickiness of thread spans. EDN makes the greatest positive contribution to thread stickiness, followed by an index of the shape and size of primary droplets, and the volume of small secondary droplets. The proportion of water in droplets makes the single greatest negative contribution to thread stickiness, followed by a thread's extensibility, and the area of flattened droplets. Although highly significant, this six-variable model failed to convincingly describe the stickiness of six species, a problem resolved when species were assigned to three groups and a separate model was constructed for each. These models place different weights on the variables and, in some cases, reverse or exclude the contribution of a variable. Differences in threads may adapt them to particular habitats, web architectures or prey types, or they may be shaped by a species' phylogeny or metabolic capabilities.
圆蛛类圆网中粘性的捕获丝负责留住撞到这些网的昆虫。我们利用16种蜘蛛丝的特征以及它们在四种宽度接触板上表现出的粘性,对其粘附传递系统进行建模。我们的结果证实,丝接触边缘的液滴贡献了最大的粘附力,每一个向内依次排列的液滴贡献的粘附力仅为前者的0.70倍。因此,无论丝上大的初级液滴的大小和间距如何,超过20个液滴的跨度后,粘附力增加很少。根据这种模式,我们计算了有效液滴数(EDN),这是一个描述对丝跨度粘性有贡献的总液滴当量的指标。EDN对丝的粘性贡献最大,其次是初级液滴的形状和大小指标,以及小的次级液滴的体积。液滴中的水分比例对丝的粘性贡献的负面影响最大,其次是丝的延展性和平扁液滴的面积。尽管这个六变量模型非常显著,但它未能令人信服地描述六种蜘蛛丝的粘性,当将这些物种分为三组并为每组构建一个单独的模型时,这个问题得到了解决。这些模型对变量赋予了不同的权重,在某些情况下,会颠倒或排除某个变量的贡献。丝的差异可能使它们适应特定的栖息地、蛛网结构或猎物类型,或者它们可能受到物种系统发育或代谢能力的影响。