Did you know the microscopic world around us holds the key to solving some of humanity's biggest challenges, yet studying it feels like trying to solve a puzzle with missing pieces? Microbiomes, the invisible communities of microorganisms in our bodies, soil, water, and even the air, are crucial for health, agriculture, and climate—but researching them is a logistical nightmare. Scientists often struggle to share data across different environments and disciplines, leaving critical insights buried in silos. But here's where it gets exciting: a groundbreaking solution has emerged.
A global team of nearly 250 researchers from 28 countries has developed STREAMS (Standards for Technical Reporting in Environmental and host-Associated Microbiome Studies), a revolutionary set of guidelines to standardize microbiome research. Building on the success of STORMS—a checklist widely used in human microbiome studies—STREAMS expands its reach to include microbes in soil, water, air, animals, plants, and even synthetic environments. And this is the part most people miss: it’s not just about humans anymore; it’s about understanding the entire microbial universe.
Julia Kelliher, the lead author and a doctoral student at Michigan State University’s Microbiology, Genetics, & Immunology department, explains in Nature Microbiology (https://www.nature.com/articles/s41564-025-02186-2) that STREAMS acts as a roadmap for researchers, students, and reviewers. It ensures no critical detail—like permits or data citations—falls through the cracks. Kelliher’s vision is simple yet powerful: “I just want to help people, especially students. We’ve created tutorials, user guides, and even an acronym list to make it accessible. I want it to make their work easier and better.”
But here’s where it gets controversial: STREAMS isn’t just a checklist; it’s a living, evolving resource designed to be machine-readable, allowing computers to analyze and compare studies more efficiently. It also addresses emerging practices like AI usage, which not all journals require reporting on—yet. Is this the future of research standardization, or does it risk becoming too rigid for innovative science? We’d love to hear your thoughts in the comments.
The guidelines were born from a diverse workshop at the American Society for Microbiology Microbe Conference, where early-career researchers played a pivotal role. “Some of the best ideas came from those collecting metadata in the field,” Kelliher notes. With 67 checklist items, STREAMS guides researchers through every section of a scientific paper, ensuring clarity and consistency. It also aligns with metadata standards, making data submission to public databases seamless.
One key difference from STORMS? Scope. While STORMS focuses on human microbiomes, STREAMS tackles the unique challenges of environmental and non-human studies. “Terminology, data types, even sample collection methods—it’s all different,” Kelliher explains. The team also added items for AI usage, reflecting the rapidly evolving nature of research.
Managing input from hundreds of contributors was no small feat. Kelliher personally reviewed over 1,100 pieces of feedback, compiling a 100-page response document. “We wanted participants to know we valued every comment,” she says. The result? A resource that’s not just comprehensive but also community-driven.
Kelliher’s journey to leading STREAMS is as unconventional as it is inspiring. Trained in neuroscience and costume design, she stumbled into microbiome research during a hike with Los Alamos National Laboratory researchers. Since then, she’s worked on over a dozen bioscience projects while pursuing her PhD—a feat she jokingly doesn’t recommend. “I’m certainly very tired all the time,” she laughs.
Collaborating with senior author Emiley Eloe-Fadrosh and STORMS lead Chloe Mirzayi, Kelliher is already planning updates based on community feedback. A paper using a large language model to parse the guidelines is in the works, proving STREAMS is anything but static.
So, what do you think? Will STREAMS revolutionize microbiome research, or does its ambition risk overlooking the nuances of individual studies? Let us know in the comments—this conversation is just getting started!
