It feels good to have more of the lab getting back into the swing of fieldwork after the worst years of the early pandemic!
The lab has always maintained some field activity throughout the pandemic. Ezequiel has been remote from field sites across Argentina, Robert and Peter have been keeping active at Mpala in Kenya, and Colin (and the lizard team) as well as Amanda (and the terrapin team) had managed to keep active around the northeastern US. But a lot of us had to cut back or go it alone more than we would have liked. The tide is turning, though!
This summer we have had a group led by Beth (postdoc), Hannah (incoming grad student), and Maddy (UTRA student) at Yellowstone -- collecting dung, surveying plants, coordinating with collaborators -- with support from our scientific partners at the National Park Service and the Brown University Herbarium. Amidst the ongoing recovery from disastrous flooding along the Yellowstone River, we were able to get out into the field together to advance a number of priority projects for the lab.
We are super grateful to funders: NSF (CAREER & EPSCoR award), Department of Interior (Cooperative Agreement), Brown University (UTRA & IBES).
The quintessential group photo of the team:
Congratulations to Beth on publishing an important Open Access review in Molecular Ecology!
The precautionary principle and dietary DNA metabarcoding: commonly used abundance thresholds change ecological interpretation.
This paper means a lot to me, and to the group, for a number of reasons.
First and foremost, it spotlights a hugely important and often downplayed issue for folks doing dietary DNA metabarcoding work -- and similar amplicon sequencing applications with microbiomes, environmental DNA, ancient DNA, pathogens, etc. It documents a long history of reliance on abundance-filtering strategies in our bioinformatic pipelines that may inadvertently introduce more ecologically relevant errors than they eliminate. Folks tend to be well aware of the errors that our pipelines target (trace contamination, sequence errors), and they tend to be aware that abundance filtering is an imperfect solution. But at the end of the day we are trying to learn something new about ecology and the environment, and that means we need to be more attuned to how these filters impact our downstream biological interpretations. Over the years, I have worked with countless researchers to grapple with this issue in particular -- including authors, reviewers, and editors on both sides of peer review -- and I have tried to help alleviate the strain that this imbalance between the need to filter contaminants vs. the need to preserve signal in the data can cause. Researchers in the field have long needed a thoughtful review like this one to help guide the way. I hope it will inspire discussions, debates, thoughtful introspection... and ultimately progress toward more robust applications in the field.
Second and equally important, all of the molecular data presented in this paper were generated by students in my Conservation in the Genomics Age course at Brown (BIOL 1515/2015) in 2018 and 2020. Under the leadership of Patrick (TA in 2018) and Beth (co-instructor in 2020), the students received a shipment of fecal samples from Yellowstone National Park, extracted DNA, did PCR and sequencing, ran bioinformatics, and helped us come to grips with the results. I am so proud of everything we accomplished together with students in both of these classes, and I want to highlight the roles of coauthors Violet Sackett and Camille Tulloss who both stuck with the project and completed independent studies that contributed to this outcome.
Third, we have all benefited from Beth's steady leadership on this project and in the lab. The pandemic has been hard on everyone. Beth took the reins on this work remotely and under trying circumstances. I have been blown away by her intellect, ambition, insight, knowledge, skill, and resourcefulness. This review spotlights a pervasive issue that I have felt researchers in the field needed to have for years, and all credit to Beth for making it successful. It sets a very strong foundation for the most exciting work that Beth has in the pipeline... :)
Fourth, finally, and not at all least, this paper is rooted in our long-term collaboration with Park Scientists from Yellowstone National Park, including coauthors McGarvey and Geremia. It highlights both the need to gain new understanding of wildlife diets -- not to simply rest on preconceived notions about what animals eat -- and the critical importance of ensuring the data will be both useful and robust for downstream decision-making. When the outcome of an analysis really matters, researchers will benefit from approaching their work using the types of thoughtful and thorough approaches we illustrate in this paper.
Congrats Beth and colleagues! This is an important contribution to the field.
Littleford-Colquhoun BL, Freeman PT, Sackett VI, Tulloss CV, McGarvey LM, Geremia C, Kartzinel TR. 2022. The precautionary principle and dietary DNA metabarcoding: commonly used abundance thresholds change ecological interpretation. Molecular Ecology 10.1111/mec.16352.