School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia
School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia.
Proc Biol Sci. 2017 Dec 13;284(1868). doi: 10.1098/rspb.2017.0953.
Just as evolutionary biologists endeavour to link phenotypes to fitness, sport scientists try to identify traits that determine athlete success. Both disciplines would benefit from collaboration, and to illustrate this, we used an analytical approach common to evolutionary biology to isolate the phenotypes that promote success in soccer, a complex activity of humans played in nearly every modern society. Using path analysis, we quantified the relationships among morphology, balance, skill, athleticism and performance of soccer players. We focused on performance in two complex motor activities: a simple game of soccer tennis (1 on 1), and a standard soccer match (11 on 11). In both contests, players with greater skill and balance were more likely to perform better. However, maximal athletic ability was not associated with success in a game. A social network analysis revealed that skill also predicted movement. The relationships between phenotypes and success during individual and team sports have potential implications for how selection acts on these phenotypes, in humans and other species, and thus should ultimately interest evolutionary biologists. Hence, we propose a field of evolutionary sports science that lies at the nexus of evolutionary biology and sports science. This would allow biologists to take advantage of the staggering quantity of data on performance in sporting events to answer evolutionary questions that are more difficult to answer for other species. In return, sports scientists could benefit from the theoretical framework developed to study natural selection in non-human species.
正如进化生物学家努力将表型与适应性联系起来一样,运动科学家也试图确定决定运动员成功的特征。这两个学科都将从合作中受益,为了说明这一点,我们使用了进化生物学中常用的分析方法,来分离出促进足球成功的表型,足球是一种在几乎每个现代社会中都进行的复杂人类活动。我们使用路径分析来量化足球运动员的形态、平衡、技能、运动能力和表现之间的关系。我们专注于两种复杂运动活动的表现:简单的足球网球比赛(1 对 1)和标准的足球比赛(11 对 11)。在这两种比赛中,技能和平衡更好的球员更有可能表现出色。然而,最大的运动能力与比赛中的成功无关。社会网络分析显示,技能也可以预测运动。个体和团队运动中的表型和成功之间的关系对这些表型在人类和其他物种中的选择作用具有潜在影响,因此最终应该引起进化生物学家的兴趣。因此,我们提出了一个进化运动科学领域,它位于进化生物学和运动科学的交叉点。这将使生物学家能够利用关于体育赛事表现的大量数据来回答其他物种更难回答的进化问题。作为回报,运动科学家可以从用于研究非人类物种自然选择的理论框架中受益。