Girard Elsa B, Macher Jan-Niklas, Jompa Jamaluddin, Renema Willem
Naturalis Biodiversity Center Leiden the Netherlands.
IBED University of Amsterdam Amsterdam the Netherlands.
Ecol Evol. 2022 Nov 22;12(11):e9549. doi: 10.1002/ece3.9549. eCollection 2022 Nov.
Monitoring community composition of Foraminifera (single-celled marine protists) provides valuable insights into environmental conditions in marine ecosystems. Despite the efficiency of environmental DNA (eDNA) and bulk-sample DNA (bulk-DNA) metabarcoding to assess the presence of multiple taxa, this has not been straightforward for Foraminifera partially due to the high genetic variability in widely used ribosomal markers. Here, we test the correctness in retrieving foraminiferal communities by metabarcoding of mock communities, bulk-DNA from coral reef sediment samples, and eDNA from their associated ethanol preservative using the recently sequenced cytochrome c oxidase subunit 1 (COI) marker. To assess the detection success, we compared our results with large benthic foraminiferal communities previously reported from the same sampling sites. Results from our mock communities demonstrate that all species were detected in two mock communities and all but one in the remaining four. Technical replicates were highly similar in number of reads for each assigned ASV in both the mock communities and bulk-DNA samples. Bulk-DNA showed a significantly higher species richness than their associated eDNA samples, and also detected additional species to what was already reported at the specific sites. Our study confirms that metabarcoding using the foraminiferal COI marker adequately retrieves the diversity and community composition of both the mock communities and the bulk-DNA samples. With its decreased variability compared with the commonly used nuclear 18 S rRNA, the COI marker renders bulk-DNA metabarcoding a powerful tool to assess foraminiferal community composition under the condition that the reference database is adequate to the target taxa.
监测有孔虫(单细胞海洋原生生物)的群落组成能为海洋生态系统的环境状况提供有价值的见解。尽管环境DNA(eDNA)和宏样本DNA(宏DNA)代谢条形码技术在评估多种分类群的存在方面效率很高,但对于有孔虫来说,这并非易事,部分原因是广泛使用的核糖体标记具有高度的遗传变异性。在这里,我们使用最近测序的细胞色素c氧化酶亚基1(COI)标记,通过对模拟群落、珊瑚礁沉积物样本的宏DNA及其相关乙醇防腐剂中的eDNA进行代谢条形码分析,来测试检索有孔虫群落的准确性。为了评估检测成功率,我们将我们的结果与之前从相同采样地点报告的大型底栖有孔虫群落进行了比较。我们模拟群落的结果表明,在两个模拟群落中检测到了所有物种,在其余四个群落中除一个物种外也检测到了所有物种。在模拟群落和宏DNA样本中,技术重复在每个指定的扩增子序列变体(ASV)的读数数量上高度相似。宏DNA显示出比其相关的eDNA样本显著更高的物种丰富度,并且还检测到了特定地点之前未报告过的其他物种。我们的研究证实,使用有孔虫COI标记进行代谢条形码分析能够充分检索模拟群落和宏DNA样本的多样性和群落组成。与常用的核18S rRNA相比,COI标记的变异性降低,在参考数据库适用于目标分类群的情况下,COI标记使宏DNA代谢条形码分析成为评估有孔虫群落组成的有力工具。