Community-Driven Metadata Standards for Agricultural Microbiome Research
José Pablo Dundore-Arias, Emiley A. Eloe‐Fadrosh, Lynn M. Schriml, Gwyn A. Beattie, Fiona Brennan, Posy E. Busby, Rosalie B. Calderon, Sarah C. Castle, Joanne Emerson, Sydney E. Everhart, Kellye Eversole, Kenneth E. Frost, Joshua R. Herr, Alejandra I. Huerta, Anjali S. Iyer‐Pascuzzi, Audrey Kalil, Jan E. Leach, Jeremy A. Leonard, Jude E. Maul, Bharath Prithiviraj, Marta Potrykus, Neelam Redekar, Alejandro Rojas, Kevin A.T. Silverstein, D. J. Tomso, Susannah G. Tringe, Boris A. Vinatzer, Linda L. Kinkel
Abstract
Accelerating the pace of microbiome science to enhance crop productivity and agroecosystem health will require transdisciplinary studies, comparisons among datasets, and synthetic analyses of research from diverse crop management contexts. However, despite the widespread availability of crop-associated microbiome data, variation in field sampling and laboratory processing methodologies, as well as metadata collection and reporting, significantly constrains the potential for integrative and comparative analyses. Here we discuss the need for agriculture-specific metadata standards for microbiome research, and propose a list of “required” and “desirable” metadata categories and ontologies essential to be included in a future minimum information metadata standards checklist for describing agricultural microbiome studies. We begin by briefly reviewing existing metadata standards relevant to agricultural microbiome research, and describe ongoing efforts to enhance the potential for integration of data across research studies. Our goal is not to delineate a fixed list of metadata requirements. Instead, we hope to advance the field by providing a starting point for discussion, and inspire researchers to adopt standardized procedures for collecting and reporting consistent and well-annotated metadata for agricultural microbiome research.