Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, WA, 6102, Australia.
Australian Museum Research Institute, Australian Museum, 1 William St, Sydney, NSW, 2010, Australia.
Sci Rep. 2020 May 20;10(1):8365. doi: 10.1038/s41598-020-64858-9.
Loss of biodiversity from lower to upper trophic levels reduces overall productivity and stability of coastal ecosystems in our oceans, but rarely are these changes documented across both time and space. The characterisation of environmental DNA (eDNA) from sediment and seawater using metabarcoding offers a powerful molecular lens to observe marine biota and provides a series of 'snapshots' across a broad spectrum of eukaryotic organisms. Using these next-generation tools and downstream analytical innovations including machine learning sequence assignment algorithms and co-occurrence network analyses, we examined how anthropogenic pressures may have impacted marine biodiversity on subtropical coral reefs in Okinawa, Japan. Based on 18 S ribosomal RNA, but not ITS2 sequence data due to inconsistent amplification for this marker, as well as proxies for anthropogenic disturbance, we show that eukaryotic richness at the family level significantly increases with medium and high levels of disturbance. This change in richness coincides with compositional changes, a decrease in connectedness among taxa, an increase in fragmentation of taxon co-occurrence networks, and a shift in indicator taxa. Taken together, these findings demonstrate the ability of eDNA to act as a barometer of disturbance and provide an exemplar of how biotic networks and coral reefs may be impacted by anthropogenic activities.
从底层到顶层营养级的生物多样性丧失会降低海洋中沿海生态系统的整体生产力和稳定性,但这些变化很少在时间和空间上都得到记录。使用宏条形码对沉积物和海水中的环境 DNA (eDNA)进行特征描述,为观察海洋生物群提供了一个强大的分子视角,并提供了一系列跨越广泛真核生物的“快照”。我们使用这些下一代工具和下游分析创新,包括机器学习序列分配算法和共同发生网络分析,研究了人为压力如何影响日本冲绳亚热带珊瑚礁的海洋生物多样性。基于 18S 核糖体 RNA,但由于该标记的扩增不一致,ITS2 序列数据除外,以及人为干扰的代理指标,我们表明,在家庭水平上,真核生物的丰富度随着中等到高水平的干扰显著增加。这种丰富度的变化与组成变化、分类群之间连通性的降低、分类群共同发生网络的碎片化增加以及指示分类群的变化相一致。总之,这些发现表明 eDNA 能够作为干扰的晴雨表,并提供了一个范例,说明生物网络和珊瑚礁可能如何受到人为活动的影响。