henhaobio
Sign in

bioRxivMicrobiologyPreprint

Patterns of Microbial Succession and Niche Differentiation Across Depth and Age in a Landfill Have Implications for Management Strategies

Damayanti Rodriguez-Ramos, Liyuan HouiD, Patricia Q. TraniD, Wanjing Chen, Hans C. Nielsen-Fox, Fuad J. ShataraiD, David A. Rivera‐KohriD, Joseph H. SkarlupkaiD, Namita P. ShroffiD, Grace Ann CagleiD, Zachary B. FreedmaniD, Allison Rathsack, Garret SueniD, Brian G. FoxiD, Erica L.‐W. MajumderiD

PDFDOI

Abstract

Despite microorganisms being primarily responsible for landfill material decomposition, limited characterization has been performed across both landfill depth and age. Here, we investigated the microbial communities and physicochemical parameters in two active and two closed landfill wells from surface to bottom, as well as fill dirt and leachate at a sanitary landfill near Madison, Wisconsin, USA. Amplicon community sequencing fungi, bacteria and archaea revealed distinct microbial community structures across landfill sites. The observed patterns of microbial community succession by depth and age mirror the known phases of the landfill life cycle. Younger surface samples were dominated by aerobic fungi, which transitioned to fermentative bacteria and methanogenic archaea in older, deeper, layers. Simultaneously, high species richness was preserved across landfill ages, while reduced evenness at specific depths support spatial niche differentiation. In conjunction with the lack of trends found for physicochemical parameters by depth, this supports niche differentiation driven by the highly heterogenous waste inputs. This study provides the first comprehensive vertical profile of bacterial, fungal, and archaeal communities across landfill depths and ages, highlighting the influence of these parameters on physicochemical factors and microbial distribution within landfills. These results have implications for improving landfill management, including renewable gas energy production, minimizing emissions, and increasing degradation rates.

Citations
0

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.