Bodenstein Sarah, Nahmens Isabelina, Tiersch Terrence R
Aquatic Germplasm and Genetic Resources Center, School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA 70820.
Department of Mechanical and Industrial Engineering, Louisiana State University, Baton, Rouge, LA 70803.
J Shellfish Res. 2022 Aug;41(2):209-221. doi: 10.2983/035.041.0206. Epub 2022 Oct 24.
The genetic resources of oysters in Louisiana and the Gulf of Mexico are threatened due to high unexplained oyster mortality. Germplasm repositories are collections of cryopreserved genetic material stored alongside associated information that are used to protect genetics resources and facilitate breeding programs in agricultural industries. Therefore, there is great need for oyster repositories. Development of repositories has been slow despite research on high-throughput cryopreservation protocols because of logistical complexities. The goal of this study was to begin to address the gap between cryopreservation research and repository development in oyster aquaculture by modeling a cryopreservation protocol to understand and improve the process. The steps of a high-throughput cryopreservation protocol were defined and mapped in a process flow diagram. A simulation model was created using time study data, and key bottlenecks in the process were identified. Finally, model variations using alternate types of devices (tools or equipment) were created to address the identified bottlenecks. The model was found to accurately simulate the cryopreservation process. Parameters such as number of straws frozen per oyster, batch size, and number of operators significantly affected how the model performed and device choices produced substantial improvements. Simulation modeling has the potential to inform how cryopreservation pathways and repository systems in aquatic species should be structured and operated. There is ample opportunity for future work such as analyzing the impacts of production scale on cryopreservation processes.
由于不明原因的高牡蛎死亡率，路易斯安那州和墨西哥湾的牡蛎遗传资源受到威胁。种质库是保存有相关信息的冷冻保存遗传物质的集合，用于保护遗传资源并促进农业产业的育种计划。因此，对牡蛎种质库有很大需求。尽管对高通量冷冻保存方案进行了研究，但由于后勤复杂性，种质库的发展一直很缓慢。本研究的目标是通过对冷冻保存方案进行建模以了解和改进该过程，从而开始填补牡蛎养殖中冷冻保存研究与种质库发展之间的差距。在流程图中定义并绘制了高通量冷冻保存方案的步骤。利用时间研究数据创建了一个模拟模型，并确定了该过程中的关键瓶颈。最后，创建了使用替代类型设备（工具或仪器）的模型变体以解决已识别的瓶颈。发现该模型能够准确模拟冷冻保存过程。诸如每个牡蛎冷冻的麦管数量、批次大小和操作人员数量等参数显著影响模型的运行方式，并且设备选择产生了实质性改进。模拟建模有可能为水生物种的冷冻保存途径和种质库系统应如何构建和运行提供参考。未来的工作有很多机会，例如分析生产规模对冷冻保存过程的影响。
