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50 important research questions in microbial ecology (2017)
Journal Article
Antwis, R., Griffiths, S., Harrison, X., Aranega-Bou, P., Arce, A., Bettridge, A., …Sutherland, W. (2017). 50 important research questions in microbial ecology. FEMS Microbiology Ecology, 93(5), https://doi.org/10.1093/femsec/fix044

Microbial ecology provides insights into the ecological and evolutionary dynamics of microbial communities underpinning every ecosystem on Earth. Microbial communities can now be investigated in unprecedented detail, although there is still a wealth... Read More about 50 important research questions in microbial ecology.

The soil microbiome at the Gi-FACE experiment responds to a moisture gradient but not to CO2 enrichment (2016)
Journal Article
De Menezes, A., Müller, C., Clipson, N., & Doyle, E. (2016). The soil microbiome at the Gi-FACE experiment responds to a moisture gradient but not to CO2 enrichment. Microbiology, 162, 1572-1582. https://doi.org/10.1099/mic.0.000341

The soil bacterial community at the Giessen free-air CO2 enrichment (Gi-FACE) experiment was analysed by tag-sequencing of the 16S rRNA gene. No substantial effects of CO2 levels on bacterial community composition were detected. However, the soil moi... Read More about The soil microbiome at the Gi-FACE experiment responds to a moisture gradient but not to CO2 enrichment.

Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range (2015)
Journal Article
Henderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Global Rumen Census Collaborators, G., & Janssen, P. (2015). Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Scientific reports, 5(14567), https://doi.org/10.1038/srep14567

Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and cameli... Read More about Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range.

C:N ratio drives soil actinobacterial cellobiohydrolase gene diversity (2015)
Journal Article
De Menezes, A., Prendergast-Miller, M., Poonpatana, P., Farrell, M., Bissett, A., Macdonald, L., …Thrall, P. (2015). C:N ratio drives soil actinobacterial cellobiohydrolase gene diversity. Applied and Environmental Microbiology, 8(9), 3016-3028. https://doi.org/10.1128/AEM.00067-15

Cellulose accounts for approximately half of photosynthesis-fixed carbon; however, the ecology of its degradation in soil is still relatively poorly understood. The role of actinobacteria in cellulose degradation has not been extensively investigated... Read More about C:N ratio drives soil actinobacterial cellobiohydrolase gene diversity.

Microbial community structure mediates response of soil C decomposition to litter addition and warming (2014)
Journal Article
decomposition to litter addition and warming. Soil Biology and Biochemistry, 80, 175-188. https://doi.org/10.1016/j.soilbio.2014.10.008

Microbial activity has been highlighted as one of the main unknowns controlling the fate and turnover of soil organic matter (SOM) in response to climate change. How microbial community structure and function may (or may not) interact with increasi... Read More about Microbial community structure mediates response of soil C decomposition to litter addition and warming.

Network analysis reveals that bacteria and fungi form modules that correlate independently with soil parameters (2014)
Journal Article
soil parameters. Environmental Microbiology, 17(8), 2677-2689. https://doi.org/10.1111/1462-2920.12559

Network and multivariate statistical analyses were performed to determine interactions between bacterial and fungal community terminal restriction length polymorphisms as well as soil properties in paired woodland and pasture sites. Canonical cor... Read More about Network analysis reveals that bacteria and fungi form modules that correlate independently with soil parameters.