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肠道内容物的 DNA 代谢组学揭示了关键的生境和季节性驱动因素,这些因素涉及农业景观中通用捕食者的营养网络。

DNA metabarcoding of gut contents reveals key habitat and seasonal drivers of trophic networks involving generalist predators in agricultural landscapes.

机构信息

State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China.

Guangdong Provincial Key Laboratory of Marine Biology, College of Science, Shantou University, Shantou, China.

出版信息

Pest Manag Sci. 2022 Dec;78(12):5390-5401. doi: 10.1002/ps.7161. Epub 2022 Sep 24.

Abstract

BACKGROUND

Understanding the networks of trophic interactions into which generalist predators are embedded is key to assessing their ecological role of in trophic networks and the biological control services they provide. The advent of affordable DNA metabarcoding approaches greatly facilitates quantitative understanding of trophic networks and their response to environmental drivers. Here, we examine how key environmental gradients interact to shape predation by Lycosidae in highly dynamic vegetable growing systems in China.

RESULTS

For the sampled Lycosidae, crop identity, pesticide use and seasons shape the abundance of prey detected in spider guts. For the taxonomic richness of prey, local- and landscape-scale factors gradients were more influential. Multivariate ordinations confirm that these crop-abundant spiders dynamically adjust their diet to reflect environmental constraints and seasonal availability to prey.

CONCLUSION

Plasticity in diet composition is likely to account for the persistence of spiders in relatively ephemeral brassica crops. Our findings provide further insights into the optimization of habitat management for predator-based biological control practices. © 2022 Society of Chemical Industry.

摘要

背景

理解广食性捕食者所处的营养相互作用网络,是评估其在营养网络中的生态作用以及它们所提供的生物控制服务的关键。经济实惠的 DNA 代谢组学方法的出现极大地促进了对营养网络及其对环境驱动因素响应的定量理解。在这里,我们研究了关键环境梯度如何相互作用,塑造中国高度动态蔬菜种植系统中狼蛛科的捕食作用。

结果

在所采样的狼蛛科中,作物种类、农药使用和季节会影响蜘蛛肠道中检测到的猎物丰度。对于猎物的分类丰富度,局部和景观尺度的梯度因素影响更大。多元排序证实,这些在作物中丰富的蜘蛛会动态调整其饮食,以反映环境限制和猎物季节性供应。

结论

饮食组成的可塑性可能是蜘蛛在相对短暂的十字花科作物中得以生存的原因。我们的研究结果进一步深入了解了基于捕食者的生物控制实践中栖息地管理的优化。 © 2022 化学工业协会。

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