

Understanding microbiomes can lead to advances in human health, agriculture and more — but as microbiome research expands, data sharing becomes both more important and more difficult. To mitigate this challenge, a multi-institution team of researchers created a set of guidelines that will help microbiome scientists report their data in a uniform, effective way.
The team comprises scientists at Los Alamos National Laboratory along with the New Mexico Consortium who co-led the effort with Lawrence Berkeley National Laboratory; their work was published in Nature Microbiology.
Why this matters: Microbiome research is the study of communities of microorganisms that live in a specific environment, such as the human skin or gut, a pond, or a wheat field.
What they did: The STREAMS (Standards for Technical Reporting in Environmental and host-Associated Microbiome Studies) project, co-led by Los Alamos technologist Julia Kelliher who holds a joint-appointment with the New Mexico Consortium, began with a workshop about data management hosted in collaboration with the American Society for Microbiology Microbe Conference and the National Microbiome Data Collaborative.
What they learned: Based on the workshop and the community-led input, Kelliher, Eloe-Fadrosh and their colleagues developed a set of 67 guidelines for researchers, students and reviewers.
Funding: This material is based upon work supported by the National Science Foundation. The work conducted by the National Microbiome Data Collaborative is supported by the Genomic Science Program in the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research.
LA-UR-26-20438

How quantum tunneling helps magnets choose a state

Los Alamos grad student uses research, humor and outreach to make nuclear science approachable

Award recognizes research conducted in part at Los Alamos

A new method uses sound to predict unsafe conditions

New insights could improve prediction and management of long-lived radioactive materials

The design and safety of defense systems could benefit from this model