Brückner Adrian, Schuster Romina, Wehner Katja, Heethoff Michael
1Ecological Networks, Technische Universität Darmstadt, Schnittspahnstraße 3, 64287 Darmstadt, Germany.
2Division of Biology and Biological Engineering, California Institute of Technology, 1200 E California Boulevard, Pasadena, CA 91125 USA.
Front Zool. 2018 Dec 5;15:50. doi: 10.1186/s12983-018-0297-2. eCollection 2018.
Trait based functional and community ecology is . Most studies, however, ignore phenotypical diversity by characterizing entire species considering only trait means rather than their variability. Phenotypical variability may arise from genotypical differences or from ecological factors (e.g., nutritionally imbalanced diet), and these causes can usually not be separated in natural populations. We used a single genotype from a parthenogenetic model system (the oribatid mite Aoki) to exclude genotypical differences. We investigated patterns of dietary (10 different food treatments) induced trait variation by measuring the response of nine different traits (relating to life history, morphology or exocrine gland chemistry).
Nutritional quality (approximated by carbon-to-nitrogen ratios) influenced all trait means and their variation. Some traits were more prone to variation than others. Furthermore, the "threshold elemental ratio"- rule of element stoichiometry applied to phenotypic trait variation. Imbalanced food (i.e. food not able to fully meet the nutritional demands of an animal) led to lower trait mean values, but also to a higher variation of traits.
Imbalanced food led not only to lower trait value averages, but also to higher trait variability. There was a negative relationship between both parameters, indicating a direct link of both, average trait levels and trait variation to nutritional quality. Hence, variation of trait means may be a predictor for general food quality, and further indicate trade-offs in specific traits an animal must deal with while feeding on imbalanced diets.
基于性状的功能和群落生态学正在兴起。然而,大多数研究通过仅考虑性状均值而非其变异性来表征整个物种,从而忽略了表型多样性。表型变异性可能源于基因型差异或生态因素(例如营养不均衡的饮食),而这些原因在自然种群中通常无法区分。我们使用孤雌生殖模型系统(甲螨青木螨)中的单一基因型来排除基因型差异。我们通过测量九个不同性状(与生活史、形态或外分泌腺化学有关)的响应,研究了饮食(10种不同食物处理)诱导的性状变异模式。
营养质量(用碳氮比近似)影响了所有性状均值及其变异。一些性状比其他性状更容易发生变异。此外,元素化学计量学的“阈值元素比”规则适用于表型性状变异。不均衡的食物(即不能完全满足动物营养需求的食物)导致较低的性状均值,但也导致性状的更高变异。
不均衡的食物不仅导致较低的性状值平均值,还导致较高的性状变异性。这两个参数之间存在负相关关系,表明平均性状水平和性状变异与营养质量都有直接联系。因此,性状均值的变异可能是一般食物质量的预测指标,并且进一步表明动物在以不均衡饮食为食时必须应对的特定性状的权衡。