Sequencing technologies and bioinformatic approaches are now available to resolve the challenges associated with complex and heterozygous genomes. Increased access to less expensive and more effective instrumentation will contribute to a wealth of high‐quality plant genomes in the next few years. In the meantime, more than 370 tree species are associated with public projects in primary repositories that are interrogating expression profiles, identifying variants, or analyzing targeted capture without a high‐quality reference genome. Genomic data from these projects generates sequences that represent intermediate assemblies for transcriptomes and genomes. These data contribute to forest tree biology, but the associated sequence remains trapped in supplemental files that are poorly integrated in plant community databases and comparative genomic platforms. Successful implementation of life science cyberinfrastructure is improving data standards, ontologies, analytic workflows, and integrated database platforms for both model and non‐model plant species. Unique to forest trees with large populations that are long‐lived, outcrossing, and genetically diverse, the phenotypic and environmental metrics associated with georeferenced populations are just as important as the genomic data sampled for each individual. To address questions related to forest health and productivity, cyberinfrastructure must keep pace with the magnitude of genomic and phenomic sampling of larger populations. This review examines the current landscape of cyberinfrastructure, with an emphasis on best practices and resources to align community data with the Findable, Accessible, Interoperable, and Reusable (FAIR) guidelines.

中文翻译：

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支持采用综合方法研究林木的网络基础设施和资源。

现在可以使用测序技术和生物信息学方法来解决与复杂和杂合基因组相关的挑战。更多地获得更便宜、更有效的仪器将有助于在未来几年内获得大量高质量的植物基因组。与此同时，超过 370 个树种与主要存储库中的公共项目相关，这些项目在没有高质量参考基因组的情况下询问表达谱、识别变异或分析目标捕获。来自这些项目的基因组数据生成代表转录组和基因组中间组装体的序列。这些数据有助于森林树木生物学，但相关序列仍然被困在补充文件中，而这些文件在植物群落数据库和比较基因组平台中的集成度很差。生命科学网络基础设施的成功实施正在改善模型和非模型植物物种的数据标准、本体、分析工作流程和集成数据库平台。对于拥有大量寿命长、异型杂交和遗传多样性的林木来说，与地理参考种群相关的表型和环境指标与每个个体的基因组数据采样一样重要。为了解决与森林健康和生产力相关的问题，网络基础设施必须跟上更大群体的基因组和表型采样的规模。本次审查研究了网络基础设施的当前状况，重点关注使社区数据与可查找、可访问、可互操作和可重用 (FAIR) 准则保持一致的最佳实践和资源。