摘要
传粉者是重要的生态功能提供者,在维持稳定的生态系统和高效的农业生产力中发挥着重要作用。因此,传粉网络的构建和监测工作对评价生态系统平衡和调控农业生产至关重要。该工作的基础就是通过对传粉者及植物的物种鉴定构建其相关性。传统的形态学物种鉴定对分类学专家的专业知识、时间和经验都提出较高的要求。DNA条形码和高通量测序技术(high-throughput sequencing,HTS)的发展及其在传粉网络研究中的应用,提供了高效、准确鉴定传粉者与植物的方法,大大提高了传粉网络构建的效率。本文阐述了传粉网络研究相关的研究方法和技术进展,并提出利用高通量测序技术结合无PCR扩增(PCR-free)的"超级条形码"技术,有望实现以更高的灵敏度和分辨率对混合物种样品进行定性及相对定量的监测。该方法的有效性已在其他生物多样性研究中得以验证,在传粉网络研究中虽处于初始阶段,但应用前景广阔。
Pollinators serve key ecological functions, ensuring stable ecosystems and high agricultural yields. Hence, assessing ecosystem health and effects of agricultural management would benefit from understanding and monitoring pollination networks, which involves identifications of pollinators and pollinated plants. Classic approaches of morphology-based identification of plants andpollinators can be time-consuming, la- bor-intensive and costly, and require highly specialized taxonomic expertise. In comparison, DNA barcoding and high-throughput sequencing technologies can provide efficient and accurate identifications of plants and their pollinators, which may facilitate construction of pollination networks. Here we propose using sequenc- ing technologies with a PCR-free genome-skimming work frame, using ＂super DNA barcode＂ as a new method to assess plant-pollinator networks. We expect this technique to improve resolution and accuracy of taxonomic identification to help gain quantitative information for bulk samples of pollinators or pollens. Al- though there are technical challenges to be resolved, the robustness of the new methodology has been vali- dated in relevant biodiversity studies, suggesting promise in constructing pollination networks.
作者
郎丹丹
唐敏
周欣
Dandan Lang;Min Tang;Xin Zhou(Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193;College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083;College of Plant Protection, China Agricultural University, Beijing 100193)
出处
《生物多样性》
CAS
CSCD
北大核心
2018年第5期445-456,共12页
Biodiversity Science
基金
国家自然科学基金(31772493)
