利用水生模式物种探索开放式硬件生态系统的路径,以保护生物医学研究界的遗传资源。

IF 1.8 3区 生物学 Q3 DEVELOPMENTAL BIOLOGY
Yue Liu, Jack C. Koch, Lucía Arregui, Allyssa Oune, Sarah Bodenstein, Maria T. Gutierrez-Wing, Terrence R. Tiersch
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引用次数: 0

摘要

开发可靠的种质资源库对于保存水生物种的遗传资源至关重要,这些资源被广泛用于支持生物医学创新,为自然发生的变异和通过遗传操作开发新变种提供了基础来源。资源库开发的一个重大障碍是缺乏低温保存能力和整个研究界的可重复性,这带来了失去数十亿美元研究投资所取得的进展的巨大风险。开放式科学硬件的出现推动了生物医学研究界的一场新运动。随着三维打印机等消费级制造技术的日益普及,开放式硬件设备可以进行定制设计,并将设计文件分发给社区成员,以提高严谨性、可重复性和标准化。本综述的总体目标是探索在使用水产模型资源进行生物医学研究的社区中创建开放硬件生态系统的途径。为了获得社区成员的反馈和见解,在马萨诸塞州伍兹霍尔举行的 2022 年人类疾病水生模型会议上,举办了一次互动研讨会,重点讨论种质资源库开发中的开放式硬件应用。这项工作利用种质资源库开发实例,将概念性战略与研讨会互动中获得的实际见解相结合。这些见解可用于为广大生物医学研究界建立开放式硬件生态系统。具体目标是(1) 引入支持生物医学研究的开放式硬件生态系统概念;(2) 通过四个主要领域探索建立开放式硬件生态系统的途径;(3) 确定机遇和未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring pathways toward open-hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Exploring pathways toward open-hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Exploring pathways toward open-hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Development of reliable germplasm repositories is critical for preservation of genetic resources of aquatic species, which are widely utilized to support biomedical innovation by providing a foundational source for naturally occurring variation and development of new variants through genetic manipulations. A significant barrier in repository development is the lack of cryopreservation capability and reproducibility across the research community, posing great risks of losing advances developed from billions of dollars of research investment. The emergence of open scientific hardware has fueled a new movement across biomedical research communities. With the increasing accessibility of consumer-level fabrication technologies, such as three-dimensional printers, open hardware devices can be custom designed, and design files distributed to community members for enhancing rigor, reproducibility, and standardization. The overall goal of this review is to explore pathways to create open-hardware ecosystems among the communities using aquatic model resources for biomedical research. To gain feedback and insights from community members, an interactive workshop focusing on open-hardware applications in germplasm repository development was held at the 2022 Aquatic Models for Human Disease Conference, Woods Hole, Massachusetts. This work integrates conceptual strategies with practical insights derived from workshop interactions using examples of germplasm repository development. These insights can be generalized for establishment of open-hardware ecosystems for a broad biomedical research community. The specific objectives were to: (1) introduce an open-hardware ecosystem concept to support biomedical research; (2) explore pathways toward open-hardware ecosystems through four major areas, and (3) identify opportunities and future directions.

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来源期刊
CiteScore
4.80
自引率
9.10%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Developmental Evolution is a branch of evolutionary biology that integrates evidence and concepts from developmental biology, phylogenetics, comparative morphology, evolutionary genetics and increasingly also genomics, systems biology as well as synthetic biology to gain an understanding of the structure and evolution of organisms. The Journal of Experimental Zoology -B: Molecular and Developmental Evolution provides a forum where these fields are invited to bring together their insights to further a synthetic understanding of evolution from the molecular through the organismic level. Contributions from all these branches of science are welcome to JEZB. We particularly encourage submissions that apply the tools of genomics, as well as systems and synthetic biology to developmental evolution. At this time the impact of these emerging fields on developmental evolution has not been explored to its fullest extent and for this reason we are eager to foster the relationship of systems and synthetic biology with devo evo.
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