Isotope-based methods |
Can clearly distinguish some pathways based on natural 13C abundance |
Can be ambiguous, as some substrates have overlapping signatures |
Can clearly track carbon from substrate to product with 14C label |
Can be influenced by other biochemical processes/pathways such as methanotrophy that affect natural 13C abundances |
Can be ambiguous if different CH4 pools in the environment mix physically before measurement |
Substrate quantification |
Identifies which substrates are present |
Can be difficult for some substrates and require specialized analytical methods |
Quantifies concentration of substrate to help interpret its relevance |
Measures substrate pools rather than production and consumption rates |
Nucleic acid sequencing |
Enables high-throughput processing of many samples |
Can be affected by organisms and genes that are present but not active or expressed (DNA) |
Provides a deeper understanding of the ecology and taxonomy |
Can be affected by relic DNA |
Facilitates comparisons to databases and other studies |
Can be difficult for RNA, which is easily degraded |
Can assess which genes are actively expressed (RNA) |
Provides a clear relationship between substrate concentration and CH4 produced |
Substrate addition experiments |
Enable manipulating other environmental variables of interest |
Are performed under laboratory conditions that cannot completely mimic field conditions |
Can be performed on microcosms or isolates |
Test potential rates of methanogenesis, not the actual field rates |
Can utilize inhibitors to help indicate importance of a pathway |
Can be combined with isotope-based methods to clearly link substrate to methane |
Can be combined with microscopy-based methods to show the spatial arrangement of microorganisms |