TY - JOUR
T1 - Network analysis reveals that bacteria and fungi form modules that correlate independently with soil parameters
AU - De Menezes, Alexandre B.
AU - Prendergast-Miller, Miranda T.
AU - Richardson, Alan E.
AU - Toscas, Peter
AU - Farrell, Mark
AU - Macdonald, Lynne M.
AU - Baker, Geoff
AU - Wark, Tim
AU - Thrall, Peter H.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - 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 correspondence analysis (CCA) revealed that shifts in woodland community composition correlated with soil dissolved organic carbon, while changes in pasture community composition correlated with moisture, nitrogen and phosphorus. Weighted correlation network analysis detected two distinct microbial modules per land use. Bacterial and fungal ribotypes did not group separately, rather all modules comprised of both bacterial and fungal ribotypes. Woodland modules had a similar fungal:bacterial ribotype ratio, while in the pasture, one module was fungal dominated. There was no correspondence between pasture and woodland modules in their ribotype composition. The modules had different relationships to soil variables, and these contrasts were not detected without the use of network analysis. This study demonstrated that fungi and bacteria, components of the soil microbial communities usually treated as separate functional groups as in a CCA approach, were co-correlated and formed distinct associations in these adjacent habitats. Understanding these distinct modular associations may shed more light on their niche space in the soil environment, and allow a more realistic description of soil microbial ecology and function.
AB - 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 correspondence analysis (CCA) revealed that shifts in woodland community composition correlated with soil dissolved organic carbon, while changes in pasture community composition correlated with moisture, nitrogen and phosphorus. Weighted correlation network analysis detected two distinct microbial modules per land use. Bacterial and fungal ribotypes did not group separately, rather all modules comprised of both bacterial and fungal ribotypes. Woodland modules had a similar fungal:bacterial ribotype ratio, while in the pasture, one module was fungal dominated. There was no correspondence between pasture and woodland modules in their ribotype composition. The modules had different relationships to soil variables, and these contrasts were not detected without the use of network analysis. This study demonstrated that fungi and bacteria, components of the soil microbial communities usually treated as separate functional groups as in a CCA approach, were co-correlated and formed distinct associations in these adjacent habitats. Understanding these distinct modular associations may shed more light on their niche space in the soil environment, and allow a more realistic description of soil microbial ecology and function.
UR - http://www.scopus.com/inward/record.url?scp=84939255787&partnerID=8YFLogxK
U2 - 10.1111/1462-2920.12559
DO - 10.1111/1462-2920.12559
M3 - Article
C2 - 25040229
AN - SCOPUS:84939255787
SN - 1462-2912
VL - 17
SP - 2677
EP - 2689
JO - Environmental Microbiology
JF - Environmental Microbiology
IS - 8
ER -