Dias P Joana, Lehman Ryan, Huerta-Beltrán Bryan L, Wheeler Ana, Hightower Crystal L, Heise Jessica, Switzer Theodore, Rhode Clint, Drymon J Marcus, Stokes Lynne, Albins Mark A, Powers Sean, Phillips Nicole
School of Biological, Environmental, and Earth Sciences, University of Southern Mississippi, Hattiesburg, MS, United States.
Mississippi-Alabama Sea Grant Consortium, Ocean Springs, MS, United States.
PeerJ. 2025 Jan 27;13:e18778. doi: 10.7717/peerj.18778. eCollection 2025.
Four species support recreational and commercial fisheries along the U.S. Atlantic Ocean and the Gulf of Mexico, with the Gulf of Mexico stock being overfished for over three decades. The study presented here is part of a fisheries-independent project initiated to determine an absolute abundance of , to expand biological knowledge of the species and to develop novel tools for fisheries management. Environmental DNA (eDNA) tools aimed at the detection and quantification of target species are starting to emerge in support of marine fisheries surveys. Key to progressing the field is Droplet Digital™ PCR (ddPCR™), a highly sensitive technique with advanced multiplexing and direct quantification capabilities that can provide fisheries scientists with improved interpretation of eDNA data.
We developed and validated a novel tetraplex ddPCR™ assay able to detect and distinguish between , , , and from seawater eDNA samples. In order to groundtruth ddPCR™ data, and explore its capacity to provide abundance estimates, we compared ddPCR™ detections and quantifications to abundance data inferred from multiple camera (ROV, S-BRUV, chevron trap) and acoustic (VPS array) gears deployed during a fisheries research gear-calibration cruise.
We demonstrated that with eDNA contamination controls and best practice protocols, it is viable to conduct eDNA research as part of a fisheries survey cruise. eDNA sampling was completed in less time than camera gears (15 min 2 h). Both eDNA and camera gears detected the presence of and at both sites and all sampling days, but not and . eDNA concentration data was higher for than at both sites for all sampling days, in line with abundance patterns obtained from camera gears. The highest correlation (r = 0.97) was obtained between the measures of eDNA between gear deployments and ROV.
Incorporating eDNA in fisheries surveys would not require additional days at sea and could improve precision in fish detection and abundance. eDNA can be a valuable complement to camera gears deployed in geographic areas or seasons with poor visibility conditions, where fish may be present but cannot be confidently identified to the species level. The high correlation obtained between ROV and eDNA data collected between gear deployments adds to a growing number of studies demonstrating the potential of eDNA as an indicator of abundance for fisheries stock assessments. Time-series data from a carefully designed eDNA survey, that estimates relative abundance, could be used as an index of relative abundance for the stock assessment. To achieve this, investment into follow-up studies with increased sample sizes and spatial and temporal replication would be necessary to allow for year-to-year comparisons and validate the robustness of the correlation observed.
在美国大西洋和墨西哥湾,有四种鱼类支持休闲渔业和商业渔业,其中墨西哥湾的种群已经被过度捕捞了三十多年。本文介绍的研究是一个独立于渔业的项目的一部分,该项目旨在确定某物种的绝对丰度,扩展对该物种的生物学认识,并开发用于渔业管理的新工具。旨在检测和量化目标物种的环境DNA(eDNA)工具开始出现,以支持海洋渔业调查。该领域取得进展的关键是液滴数字™PCR(ddPCR™),这是一种高度灵敏的技术,具有先进的多重分析和直接定量能力,可为渔业科学家提供对eDNA数据的更好解读。
我们开发并验证了一种新型四重ddPCR™检测方法,能够从海水eDNA样本中检测并区分某物种、另一物种、又一物种和再一物种。为了验证ddPCR™数据,并探索其提供丰度估计的能力,我们将ddPCR™的检测和定量结果与在一次渔业研究渔具校准巡航中部署的多个摄像头(遥控水下机器人、S型底栖遥控水下视频系统、人字形陷阱)和声呐(甚高频定位系统阵列)设备推断出的丰度数据进行了比较。
我们证明,通过eDNA污染控制和最佳实践方案,将eDNA研究作为渔业调查巡航的一部分是可行的。eDNA采样比摄像头设备耗时更少(15分钟对2小时)。在两个地点和所有采样日,eDNA和摄像头设备都检测到了某物种和另一物种的存在,但未检测到又一物种和再一物种。在所有采样日,两个地点某物种的eDNA浓度数据均高于另一物种,这与从摄像头设备获得的丰度模式一致。在不同设备部署之间的eDNA测量值与遥控水下机器人之间获得了最高的相关性(r = 0.97)。
将eDNA纳入渔业调查不需要在海上增加额外天数,并且可以提高鱼类检测和丰度的精度。在能见度较差的地理区域或季节,eDNA可以作为部署的摄像头设备的宝贵补充,在这些地方可能存在鱼类,但无法可靠地鉴定到物种水平。在不同设备部署之间收集的遥控水下机器人和eDNA数据之间获得的高相关性,增加了越来越多的研究,这些研究证明了eDNA作为渔业资源评估丰度指标的潜力。来自精心设计的eDNA调查的时间序列数据,用于估计相对丰度,可以用作某鱼类种群评估的相对丰度指数。为了实现这一点,有必要对后续研究进行投资,增加样本量以及空间和时间的重复,以便进行逐年比较并验证所观察到的相关性的稳健性。