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使用环境DNA工具来研究海带养殖对底层沉积物的影响。

Using eDNA tools to examine the impact of kelp farming on underlying sediments.

作者信息

Tan Samuel H, Jourdain Emmaeve, Farrell Shane P, Price Nichole N, Rich Jeremy J, Emerson David

机构信息

University of Maine Darling Marine Center, School of Marine Sciences, Walpole, Maine, United States of America.

Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.

出版信息

PLoS One. 2025 Sep 5;20(9):e0331416. doi: 10.1371/journal.pone.0331416. eCollection 2025.

Abstract

Using environmental DNA (eDNA)-based tools, we examined sediments underlying a ~ 1.25 hectare commercial kelp farm in the Gulf of Maine growing sugar kelp (Saccharina latissima) for two farming seasons, post-harvest. Two eDNA methods were used: a newly designed S. latissima-specific digital polymerase chain reaction (dPCR) assay targeting the cytochrome oxidase subunit I (COI) mitochondrial gene, as well as metabarcoding for the 16S and 18S ribosomal RNA (rRNA) genes, to examine overall bacterial, archaeal, and eukaryotic diversity. Sediment carbon and nitrogen content was analyzed using isotope ratio mass spectrometry (IRMS) as more traditional indicators of potential kelp biomass-derived nutrient enrichment in the benthos. When targeted sampling sites were added inside the footprint of the farm lease area in year two of the study, dPCR data showed subtle but significant differences between sediment samples inside and outside of the farm, with mean S. latissima COI gene copies from cores taken inside the farm being ~8% greater than mean values outside the farm. The highest COI copy numbers in marine sediments were from sites with observed accumulation of kelp biomass, while there was no conclusive difference in carbon and nitrogen content of those same sediment samples. Metabarcoding data also revealed subtle differences in taxa associated with sediments inside and outside the farm. For example, microbial taxa that correlated with kelp eDNA from cores within the farm included the families Rhodothermaceae, Rubritaleaceae, Flavobacteriaceae, Prolixibacteraceae, Nitrosomonadaceae, Nitrincolaceae and Rubinisphaeraceae. However, the majority of the above taxa were low in relative abundance, with only Flavobacteriaceae ranking among the top 30 most abundant and prevalent families in these sediments. In summary, this study demonstrates the sensitivity and specificity of eDNA tools to detect potential ecological and anthropogenic effects in marine sediments, beyond that of bulk nutrient and stable isotope analyses.

摘要

我们使用基于环境DNA(eDNA)的工具,对缅因湾一个约1.25公顷的商业化海带养殖场收获后两个养殖季节种植糖海带(Saccharina latissima)的海底沉积物进行了检测。我们采用了两种eDNA方法:一种是新设计的针对细胞色素氧化酶亚基I(COI)线粒体基因的S. latissima特异性数字聚合酶链反应(dPCR)检测法,另一种是对16S和18S核糖体RNA(rRNA)基因进行元条形码分析,以检测细菌、古菌和真核生物的整体多样性。使用同位素比率质谱法(IRMS)分析沉积物中的碳和氮含量,作为更传统的底栖生物中潜在海带生物量衍生养分富集指标。在研究的第二年,当在养殖场租赁区域范围内添加目标采样点时,dPCR数据显示养殖场内外沉积物样本之间存在细微但显著的差异,养殖场内岩芯的平均S. latissima COI基因拷贝数比养殖场外的平均值高约8%。海洋沉积物中COI拷贝数最高的是观察到有海带生物量积累的地点,而这些沉积物样本的碳和氮含量没有确凿差异。元条形码分析数据还揭示了养殖场内外沉积物相关分类群的细微差异。例如,与养殖场内岩芯海带eDNA相关的微生物分类群包括红嗜热菌科、红杆菌科、黄杆菌科、长杆菌科、亚硝化单胞菌科、硝碱菌科和红球菌科。然而,上述大多数分类群的相对丰度较低,只有黄杆菌科在这些沉积物中最丰富和普遍的前30个科中排名。总之,这项研究证明了eDNA工具在检测海洋沉积物中潜在生态和人为影响方面的敏感性和特异性,超过了大量养分和稳定同位素分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18fa/12412952/fc6d72235b3f/pone.0331416.g001.jpg

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