走航式大体积eDNA采样法开发及其在长江鱼类监测中的应用
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作者单位:

1.南京大学;2.云南大学

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基金项目:

《长江水生态系统重要指示种及生态系统健康评估》(2022YFC3202100)


A cruise-based large-volume eDNA sampling Method for fish monitoring in the Yangtze River
Author:
Affiliation:

1.Nanjing University;2.Yunnan University

Fund Project:

(2022YFC3202100)

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    摘要:

    获取全面的水生生物数据是实施有效水生态系统保护与恢复的重要基础。高效监测大型河流水生生物动态变化面临诸多挑战。环境DNA(eDNA)技术作为一种新兴监测手段,具有快速、高效的优势。然而,传统断面小体积eDNA采样方法在稀有鱼类物种检测方面存在明显不足。为此,本研究开发了一种新型走航式大体积eDNA采样方法,采用大容量过滤法(Capsule Filtration)显著提高单一样品的水体富集体积,结合走航采样策略,有效提升了eDNA宏条形码监测效率。2022年10月,在长江下游两个典型断面开展了走航大体积与断面小体积采样方法对鱼类多样性检测效率的对比研究,所有eDNA样品均采用Tele02引物进行扩增测序分析。研究结果显示:(1)单个走航大体积采样法样品平均检出38种鱼类,较断面小体积采样法(12种)提高了216.7%(2)走航大体积采样法在生物多样性检测的精准性以及平行样品的稳定性方面均优于断面小体积采样法;(3)走航大体积采样法共检出24种重点关注鱼类(包括国际自然保护联盟濒危物种红色名录中的珍稀濒危鱼类、中国国家重点保护经济鱼类以及中国特有鱼类),较断面小体积采样法的16种增加50%,其中14种为两种方法的共同检出物种。研究证实,基于大容量过滤器的走航大体积采样方法在鱼类物种检出率、检测精确性稳定性以及重点关注鱼类物种检出率等方面均表现出显著优势。

    Abstract:

    Comprehensive acquisition of aquatic organism data is fundamental for the effective conservation and restoration of aquatic ecosystems. However, efficient monitoring of aquatic biodiversity dynamics in large river systems remains highly challenging. Environmental DNA (eDNA) technology, as an emerging monitoring approach, offers advantages of rapidity and high efficiency. Nevertheless, conventional cross-sectional small-volume eDNA sampling methods exhibit clear limitations in detecting rare fish species. To address this issue, the present study developed a novel mobile large-volume eDNA sampling method, which substantially increases the water volume filtered per sample through the use of capsule filtration and integrates a mobile sampling strategy to improve the efficiency and representativeness of eDNA metabarcoding surveys. In October 2022, comparative surveys were conducted at two representative cross-sections of the lower Yangtze River to evaluate differences in fish diversity detection between the mobile large-volume method and the conventional small-volume cross-sectional method. All eDNA samples were amplified and sequenced using the Tele02 primer set. The results demonstrated that: (1) Each large-volume mobile sample detected an average of 38 fish species, representing a 216.7% increase compared with the small-volume cross-sectional method (12 species); (2) The mobile large-volume method exhibited higher accuracy in biodiversity detection and greater consistency among parallel replicates; (3) The mobile large-volume sampling method detected 24 fish species of primary concern, including rare and endangered species listed in the IUCN Red List of Threatened Species, fish species listed in the Catalogue of National Key Protected Economic Aquatic Animals and Plants of China, and Chinese endemic species. This represents a 50% increase compared with the 16 species detected by the cross-sectional small-volume sampling method, with 14 species shared between the two approaches. Overall, the study confirms that the mobile large-volume eDNA sampling method demonstrates significant advantages in species detection rate, detection precision and stability, and the identification of fish species of primary conservation concern in large river systems.

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  • 收稿日期:2024-11-08
  • 最后修改日期:2025-10-13
  • 录用日期:2025-10-16
  • 在线发布日期: 2025-10-29
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