Search

University of Guelph Dataverse Logo
Data for: Differential structure and function of phosphorus-cycling microbial communities in organic and upper mineral soil horizons across a temperate rainforest chronosequence
Borealis
Dunfield, Kari; Mitter, Eduardo K.; Gaeiro, J. R.; Khosla, Kamini; Chen, Xiaodong; Richardson, Alan; Wells, Andrew; Haygarth, Phil; Condron, Leo — 2023-10-26 Field campaign sampling dunes along the Big Bay chronosequence, on the west coast of New Zealand’s South Island at the mouth of the Awarua River (44.2988°S, 168.0672°E) in November 2018.  Dunes with approximate ages of 300, 800 and 4000 yBP (i.e., corresponding to earthquake events in the years 1717, 1220 and ~4000 years ago; also referred as BBX1717, BBX1220 and BBX04) were chosen for detailed soil sampling.  We paired analysis of soil properties with chemical and microbial analysis.  We quantified P-cycling microbial communities using qPCR to estimate bacterial and fungal abundance and p-cycling genes and used high-throughput sequencing to estimate microbial community diversity.  Data are from 3 dunes with four representative sampling locations.  Each sampling point consisted of the removal of a block of soil 25 x 25 cm to a depth of ~25 cm to obtain both the organic horizon and mineral soil immediately beneath: n = 24.
University of Guelph Dataverse Logo
Replication Data for: Prairie restoration promotes the abundance and diversity of mutualistic arbuscular mycorrhizal fungi
Borealis
MacColl, Kevin; Tosi, Micaela; Chagnon, Pierre-Luc; MacDougall, Andrew; Dunfield, Kari; Maherali, Hafiz — 2024-03-20 We conducted a study on the effect of ecological restoration of former agricultural fields on the abundance and community composition of arbuscular mycorrhizal fungi. These files contain data for each sample plot including soil characteristics, AM fungal abundance, species richness, phylogenetic dispersion, and community composition. Each data file has a corresponding metadata file that describes how the raw data has been organized.
University of Guelph Dataverse Logo
Roots alter soil microbial diversity and interkingdom interactions in diversified agricultural landscapes
Borealis
Mafa-Attoye, Tolulope; Borden, Kira; Alvarez, Dasiel Obregón; Thevathasan, Naresh; Isaac, Marney; Dunfield, Kari — 2022-01-25 In-situ trait-based and root exclusion experiment to determine the pattern of microbe interaction and their association with root functional traits across riparian buffer types in an agricultural landscape in southern Ontario, Canada. Using Amplicon-based analysis of 16S rRNA and ITS transcripts we evaluated soil bacterial, archaeal, and fungal communities, and their interactions, with ‘roots’ and with ‘no roots’ (root exclusion) in four plant communities at the edges of agricultural fields. Plants roots were measured for a suite of functional traits and explored in association with microbial community composition. Data consist of root functional traits from four riparian buffer types with four sampling plots each at two different sampling times (n=32).

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Source Repository: University of Guelph Dataverse) AND (Author: Dunfield, Kari)

Limit by:

Clear all

to