Hutchins Leke, Mc Cartney Ann, Graham Natalie, Gillespie Rosemary, Guzman Aidee
Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA.
UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA.
Mol Ecol Resour. 2025 Feb;25(2):e13822. doi: 10.1111/1755-0998.13822. Epub 2023 Jul 17.
Indigenous peoples have cultivated biodiverse agroecosystems since time immemorial. The rise of metagenomics and high-throughput sequencing technologies in biodiversity studies has rapidly expanded the scale of data collection from these lands. A respectful approach to the data life cycle grounded in the sovereignty of indigenous communities is imperative to not perpetuate harm. In this paper, we operationalize an indigenous data sovereignty (IDS) framework to outline realistic considerations for genomic data that span data collection, governance, and communication. As a case study for this framework, we use arthropod genomic data collected from diversified and simplified farm sites close to and far from natural habitats within a historic Kānaka 'Ōiwi (Indigenous Hawaiian) agroecosystem. Diversified sites had the highest Operational Taxonomic Unit (OTU) richness for native and introduced arthropods. There may be a significant spillover effect between forest and farm sites, as farm sites near a natural habitat had higher OTU richness than those farther away. We also provide evidence that management factors such as the number of Polynesian crops cultivated may drive arthropod community composition. Through this case study, we emphasize the context-dependent opportunities and challenges for operationalizing IDS by utilizing participatory research methods, expanding novel data management tools through the Local Contexts Hub, and developing and nurturing community partnerships-all while highlighting the potential of agroecosystems for arthropod conservation. Overall, the workflow and the example presented here can help researchers take tangible steps to achieve IDS, which often seems elusive with the expanding use of genomic data.
自古以来，原住民就培育了生物多样性丰富的农业生态系统。宏基因组学和高通量测序技术在生物多样性研究中的兴起，迅速扩大了从这些土地上收集数据的规模。基于原住民社区主权，以尊重的态度对待数据生命周期，对于避免持续造成伤害至关重要。在本文中，我们实施了一个原住民数据主权（IDS）框架，以概述基因组数据在数据收集、治理和交流方面的实际考量。作为该框架的一个案例研究，我们使用了从历史悠久的卡纳卡·奥伊维（夏威夷原住民）农业生态系统中靠近和远离自然栖息地的多样化和简化农场地点收集的节肢动物基因组数据。多样化的地点对于本地和引入的节肢动物具有最高的操作分类单元（OTU）丰富度。森林和农场地点之间可能存在显著的溢出效应，因为靠近自然栖息地的农场地点的OTU丰富度高于那些距离较远的地点。我们还提供了证据表明，诸如种植的波利尼西亚作物数量等管理因素可能驱动节肢动物群落组成。通过这个案例研究，我们强调了通过利用参与式研究方法、通过本地背景中心扩展新型数据管理工具以及发展和培育社区伙伴关系来实施IDS时，因具体情况而异的机遇和挑战——同时突出农业生态系统在节肢动物保护方面的潜力。总体而言，这里展示的工作流程和示例可以帮助研究人员采取切实步骤来实现IDS，而随着基因组数据使用的不断扩大，IDS往往似乎难以实现。
