Shu Lu, Ludwig Arne, Peng Zuogang
Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education) School of Life Sciences Southwest University Chongqing China.
Department of Evolutionary Genetics Leibniz-Institute for Zoo and Wildlife Research Berlin Germany.
Ecol Evol. 2021 May 16;11(12):8281-8294. doi: 10.1002/ece3.7658. eCollection 2021 Jun.
Environmental DNA (eDNA) techniques refer to utilizing the organisms' DNA extracted from environment samples to genetically identify target species without capturing actual organisms. eDNA metabarcoding via high-throughput sequencing can simultaneously detect multiple fish species from a single water sample, which is a powerful tool for the qualitative detection and quantitative estimates of multiple fish species. However, sequence counts obtained from eDNA metabarcoding may be influenced by many factors, of which primer bias is one of the foremost causes of methodological error. The performance of 18 primer pairs for , , , and mitochondrial genes, which are all frequently used in fish eDNA metabarcoding, were evaluated in the current study. The ribosomal gene markers performed better than the protein-coding gene markers during in silico screening, resulting in higher taxonomic coverage and appropriate barcode lengths. Four primer pairs-AcMDB07, MiFish-U, Ve16S1, and Ve16S3-designed for various regions of the and genes were screened for tank metabarcoding in a case study targeting six freshwater fish species. The four primer pairs were able to accurately detect all six species in different tanks, while only MiFish-U, Ve16S1, and Ve16S3 revealed a significant positive relationship between species biomass and read count for the pooled tank data. The positive relationship could not be found in all species within the tanks. Additionally, primer efficiency differed depending on the species while primer preferential species varied in different fish assemblages. This case study supports the potential for eDNA metabarcoding to assess species diversity in natural ecosystems and provides an alternative strategy to evaluate the performance of candidate primers before application of eDNA metabarcoding in natural ecosystems.
环境DNA(eDNA)技术是指利用从环境样本中提取的生物体DNA,在不捕获实际生物体的情况下对目标物种进行基因鉴定。通过高通量测序的eDNA宏条形码技术可以从单个水样中同时检测多种鱼类,这是一种用于多种鱼类定性检测和定量估计的强大工具。然而,从eDNA宏条形码技术获得的序列计数可能受到许多因素的影响,其中引物偏差是方法误差的首要原因之一。本研究评估了常用于鱼类eDNA宏条形码技术的18对针对线粒体基因的引物对的性能。在计算机筛选过程中,核糖体基因标记比蛋白质编码基因标记表现更好,从而实现了更高的分类覆盖率和合适的条形码长度。在一项针对六种淡水鱼物种的案例研究中,筛选了针对基因不同区域设计的四对引物——AcMDB07、MiFish-U、Ve16S1和Ve16S3——用于水族箱宏条形码分析。这四对引物能够准确检测不同水族箱中的所有六种物种,而对于合并的水族箱数据,只有MiFish-U、Ve16S1和Ve16S3显示出物种生物量与读数计数之间存在显著的正相关关系。在水族箱内的所有物种中并未发现这种正相关关系。此外,引物效率因物种而异,而引物偏好物种在不同的鱼类组合中也有所不同。该案例研究支持了eDNA宏条形码技术在评估自然生态系统中物种多样性方面的潜力,并提供了一种在自然生态系统中应用eDNA宏条形码技术之前评估候选引物性能的替代策略。