five

Portland Landfill Winogradsky project

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP459488
下载链接
链接失效反馈
官方服务:
资源简介:
Searching for Bacterial Plastitrophs in a Modified Winogradsky Column Plastic pollution has surged due to increased human consumption and disposal of plastic products. Microbial communities capable of utilizing plastic as a carbon source may play a crucial role in degrading and consuming environmental plastic. In this study, we investigated the potential of a modified Winogradsky column (WC) to enrich Connecticut landfill soil for plastic-degrading bacteria and genes. By filling the columns with the landfill soil and inorganic Bushnell Haas medium, and incorporating polyethylene (PE) strips at different soil layers, we aimed to identify bacterial taxa capable of degrading PE. After 12 months of incubation, distinct colors were observed along the WC layers, indicating successful cultivation. We employed high-throughput 16S rRNA sequencing to identify the microbes cultivated on the plastic strips and the intervening landfill soil. We then used PICRUST to estimate the functional attributes of each community. Sequencing revealed significant differences in bacterial communities between the two groups, including increased abundance of the phyla Verrucomicrobiota and Pseudomonadota (née Proteobacteria) phyla on the strips. Based on inferred genomic content, the most highly abundant proteins ranked most highly in PE strip communities were tended to be associated with plastic degradation pathways. Phylogenetic analysis of 16S rRNA sequences showed novel unclassified phyla and genera enriched on the plastic strips. Our findings suggest PE-supplemented Winogradsky columns can enrich for plastic-degrading microbes, offering insights into bioremediation strategies. Contact person: Fatai Olabemiwo, folabemiwo@wesleyan.edu Corresponding author: Frederick M. Cohan, fcohan@wesleyan.edu Contact: Frederick M. Cohan. This submission was powered by METAGENOTE (https://metagenote.niaid.nih.gov).
创建时间:
2023-09-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作