Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes
Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes
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DOI：
10.1002/lno.12152
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发表时间：
2022-05-27
影响因子：
4.5
通讯作者：
Harvell, C. Drew
中科院分区：
文献类型：
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作者：
Aoki, Lillian R.;Rappazzo, Brendan;Harvell, C. Drew
海洋变暖通过增加传染病的风险危及沿海生态系统，但海洋疾病的检测，监测和预测仍然有限。鳗草（Zostera marina）草甸提供了重要的沿海栖息地，容易受到原生生物Labelthula zosteelae引起的温度敏感性消耗疾病的影响。我们通过将海洋温度的长期卫星遥感与2019年北美太平洋沿岸沿着32个草地的实地调查相结合，评估了3500公里研究范围内的消耗病对变暖温度的敏感性。在个别草地中，11%至99%的植物受到感染，高达35%的植物组织受损。在夏季气温异常的地方，疾病患病率高出3倍，这表明在整个鳗鱼地理范围内，随着气候变暖，消耗性疾病的风险将增加。大规模调查首次通过鳗鱼病变图像分割应用程序实现，这是一种人工智能（AI）系统，可以将鳗鱼消耗疾病的量化速度提高5000倍，并具有与人类专家相当的准确性。这项研究强调了人工智能在海洋生物观察中的价值，特别是在检测广泛的气候驱动的疾病爆发方面。
Ocean warming endangers coastal ecosystems through increased risk of infectious disease, yet detection, surveillance, and forecasting of marine diseases remain limited. Eelgrass (Zostera marina) meadows provide essential coastal habitat and are vulnerable to a temperature-sensitive wasting disease caused by the protist Labyrinthula zosterae. We assessed wasting disease sensitivity to warming temperatures across a 3500 km study range by combining long-term satellite remote sensing of ocean temperature with field surveys from 32 meadows along the Pacific coast of North America in 2019. Between 11% and 99% of plants were infected in individual meadows, with up to 35% of plant tissue damaged. Disease prevalence was 3x higher in locations with warm temperature anomalies in summer, indicating that the risk of wasting disease will increase with climate warming throughout the geographic range for eelgrass. Large-scale surveys were made possible for the first time by the Eelgrass Lesion Image Segmentation Application, an artificial intelligence (AI) system that quantifies eelgrass wasting disease 5000x faster and with comparable accuracy to a human expert. This study highlights the value of AI in marine biological observing specifically for detecting widespread climate-driven disease outbreaks.