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环境DNA宏条形码技术揭示了人类活动对中国沿海微型真核浮游生物的影响。

Environmental DNA metabarcoding reveals the influence of human activities on microeukaryotic plankton along the Chinese coastline.

作者信息

Zhang Zheng, Li Jiang, Li Hongjun, Wang Linlin, Zhou Yuqi, Li Shuzhen, Zhang Zhaojing, Feng Kai, Deng Ye

机构信息

CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China.

Marine Bioresource and Environment Research Center, First Institute of Oceanography, Ministry of Natural Resources; Key Laboratory of Ecological Environment Science and Technology, Ministry of Natural Resources, Qingdao, China, 266061.

出版信息

Water Res. 2023 Apr 15;233:119730. doi: 10.1016/j.watres.2023.119730. Epub 2023 Feb 12.

Abstract

Microeukaryotic plankton, with its extremely diverse taxa, is a key component in both the marine food web and biogeochemical cycling. Coastal seas, which are home to the numerous microeukaryotic plankton that underpin the functions of these aquatic ecosystems, are often impacted by human activities. However, understanding the biogeographical patterns of diversity and community structure of microeukaryotic plankton and the role that major shaping factors play at the continent scale is still a challenge in coastal ecology. Here, the biogeographic patterns of biodiversity, community structure, and co-occurrence patterns were investigated by environmental DNA (eDNA) based approaches. Unlike most eDNA studies, we combined several methods (in silico PCR, mock and environmental communities) to systematically evaluate the specificity and coverage of primers to overcome the limitation of marker selection on biodiversity recovery. The 1380F/1510R primer set showed the best performance for the amplification of coastal plankton with the highest coverage, sensitivity, and resolution. We showed a unimodal pattern for planktonic alpha diversity with latitude (P < 0.001), and nutrient-related factors (NON, NON, and NHN) were the leading predictors for spatial patterning. Significant regional biogeographic patterns and potential drivers for planktonic communities were found across coastal regions. All communities generally fitted the regional distance-decay relationship (DDR) model with the strongest spatial turnover rate was found in the Yalujiang (YLJ) estuary (P < 0.001). The environmental factors, especially inorganic nitrogen and heavy metals (HMs), had the greatest impact on planktonic community similarity in the Beibu Bay (BB) and East China Sea (ECS). Furthermore, we observed spatial plankton co-occurrence patterns, and the networked topology and structure were strongly driven by potential anthropogenic activity factors (nutrients and HMs). Overall, our study provided a systematic approach for metabarcode primer selection in eDNA-based biodiversity monitoring and revealed that the spatial pattern of the microeukaryotic plankton community was mainly controlled by regional human activity-related factors.

摘要

微型真核浮游生物拥有极其多样的分类群,是海洋食物网和生物地球化学循环的关键组成部分。沿海海域是众多支撑这些水生生态系统功能的微型真核浮游生物的栖息地,常受到人类活动的影响。然而,了解微型真核浮游生物多样性和群落结构的生物地理模式以及主要塑造因素在大陆尺度上所起的作用,仍是沿海生态学面临的一项挑战。在此,我们通过基于环境DNA(eDNA)的方法研究了生物多样性、群落结构和共现模式的生物地理模式。与大多数eDNA研究不同,我们结合了多种方法(虚拟PCR、模拟和环境群落)来系统评估引物的特异性和覆盖范围,以克服标记选择对生物多样性恢复的限制。1380F/1510R引物组在扩增沿海浮游生物方面表现最佳,具有最高的覆盖度、灵敏度和分辨率。我们发现浮游生物的α多样性随纬度呈单峰模式(P < 0.001),与营养相关的因素(NON、NON和NHN)是空间格局的主要预测因子。在沿海区域发现了浮游生物群落显著的区域生物地理模式和潜在驱动因素。所有群落总体上符合区域距离衰减关系(DDR)模型,鸭绿江(YLJ)河口的空间周转率最强(P < 0.001)。环境因素,尤其是无机氮和重金属(HMs),对北部湾(BB)和东海(ECS)浮游生物群落的相似性影响最大。此外,我们观察到浮游生物的空间共现模式,网络拓扑结构受潜在人为活动因素(营养物质和HMs)的强烈驱动。总体而言,我们的研究为基于eDNA的生物多样性监测中的元条形码引物选择提供了一种系统方法,并揭示了微型真核浮游生物群落的空间格局主要受区域人类活动相关因素控制。

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