Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs

Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs
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DOI:
10.1002/ece3.6279
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发表时间:
2020-05-06
影响因子:
2.6
通讯作者:
Minamoto, Toshifumi
Minamoto, Toshifumi
中科院分区:
生物学2区
文献类型:
--
作者:
Hayami, Kana;Sakata, Masayuki K.;Minamoto, Toshifumi

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环境DNA(eDNA)分析作为一种新的生物多样性监测方法,近十年来得到了迅速发展。以前的研究已经评估了最佳的策略,在几个实验步骤的eDNA metabarcoding,同时检测鱼类。然而,最佳的采样策略,特别是季节和水采样的位置,还没有得到彻底的评价。为了确定最佳的采样季节和地点,我们进行了采样,每月或每两个月的时间间隔,全年在三个大坝水库。分别从福岛县三春和大川大坝水库的15个和9个地点以及日本兵库县须果大坝水库的5个地点采集了水样。用玻璃纤维过滤器过滤1升水,提取eDNA。通过执行MiFish元条形码,我们成功地检测到了21,24和22种鱼类在三春,大川,和Sugo水库,分别。从这些结果来看,eDNA元条形码方法与传统的长期数据相比具有相似的性能水平。此外,它被认为是有效的评估整个鱼类群落。通过eDNA调查检测到的物种数量在五月在三春和大川水库,并在3月和6月在Sugo水库,这与栖息在水库的许多鱼类的繁殖季节相对应。此外,与三春水库的近海样本相比,海岸检测到的物种数量显着较高,其他两个水库也发现了类似的趋势。基于这些结果,我们可以得出结论,在栖息鱼类繁殖季节从海岸位置收集水,可以最大限度地提高eDNA元条形码物种检测的效率。这些结果将有助于确定采样季节和地点的鱼类区系调查通过eDNA元条形码,在未来。
Environmental DNA (eDNA) analysis has seen rapid development in the last decade, as a novel biodiversity monitoring method. Previous studies have evaluated optimal strategies, at several experimental steps of eDNA metabarcoding, for the simultaneous detection of fish species. However, optimal sampling strategies, especially the season and the location of water sampling, have not been evaluated thoroughly. To identify optimal sampling seasons and locations, we performed sampling monthly or at two-monthly intervals throughout the year in three dam reservoirs. Water samples were collected from 15 and nine locations in the Miharu and Okawa dam reservoirs in Fukushima Prefecture, respectively, and five locations in the Sugo dam reservoir in Hyogo Prefecture, Japan. One liter of water was filtered with glass-fiber filters, and eDNA was extracted. By performing MiFish metabarcoding, we successfully detected a total of 21, 24, and 22 fish species in Miharu, Okawa, and Sugo reservoirs, respectively. From these results, the eDNA metabarcoding method had a similar level of performance compared to conventional long-term data. Furthermore, it was found to be effective in evaluating entire fish communities. The number of species detected by eDNA survey peaked in May in Miharu and Okawa reservoirs, and in March and June in Sugo reservoir, which corresponds with the breeding seasons of many of fish species inhabiting the reservoirs. In addition, the number of detected species was significantly higher in shore, compared to offshore samples in the Miharu reservoir, and a similar tendency was found in the other two reservoirs. Based on these results, we can conclude that the efficiency of species detection by eDNA metabarcoding could be maximized by collecting water from shore locations during the breeding seasons of the inhabiting fish. These results will contribute in the determination of sampling seasons and locations for fish fauna survey via eDNA metabarcoding, in the future.