Unveiling microbial biomarkers of ruminant methane emission through machine learning
Chengyao Peng, Ali May, Thomas Abeel · 2023
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Description
Chengyao Peng, Ali May, and Thomas Abeel hunt for gut microbes that flag methane output from cows in a 2023 paper. Cow burps carry methane made by rumen microbes fermenting fiber, a real share of farm greenhouse gas. If key microbes could be named, feed could be tuned against them. The team borrowed machine learning tools proven in human gut studies and set them on two large public data sets from Holstein cows.
Random forest regression predicted emissions best. Permutation tests then ranked which inputs mattered, surfacing several native rumen microbes as markers, among them a fungus genus and two bacterial groups. Herd location and feed details, such as fat and fiber intake, also helped predict output. The authors offer the markers as targets for precision feeding trials.
Catalog record
| CREATOR | Chengyao Peng, Ali May, Thomas Abeel |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |