Persistence of location-specific microbial signatures on boats during voyages

Laura Schaerer,Ryan Ghannam, Allison Olson, Annika Van Camp,Stephen Techtmann

MARINE POLLUTION BULLETIN(2024)

引用 0|浏览0
暂无评分
摘要
Objects collect microorganisms from their surroundings and develop a microbial "fingerprint" that may be useful for determining an object's past location (provenance). It may be possible to use ubiquitous microorganisms for forensics or as environmental sensors. Here, we use microbial communities in the Chesapeake Bay region to demonstrate the use of natural microorganisms as biological sensors to determine the past location of boats. The microbiomes of two boats and of the open water were sampled as these vessels traveled from the Port of Baltimore to the Port of Norfolk, and back to Baltimore. 16S rRNA sequencing was performed to identify microorganisms. Differential abundance and machine learning analyses were utilized to identify microbial signatures and predicted probabilities which were used to determine the vessel's previous location. The work presented here provides a better understanding of how microbes in aquatic systems can be leveraged as utility for object biosensors.
更多
查看译文
关键词
Provenance,Machine learning,Microbial forensics,16S rRNA sequencing,Shipping,Biosensing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要