Author

H. Azarbad

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3 Microbiology· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 6 Approach:statistical model· 4 Approach:experimental assay· 3 Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:ecology & biodiversity· 2 Research Focus:clustering· 1

Frequent Co-Authors

E. Yergeau· 4 shared J. Tremblay· 3 shared G. Antonacci· 1 shared J. A. Dozois· 1 shared L. Bainard· 1 shared L. D. Bainard· 1 shared M. Ornik· 1 shared M. Schadler· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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4 shared papersMicrobiology

E. Yergeau

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Author profile →

6 papers

Recent·Most cited

Biological and experimental factors that define the effectiveness of microbial inoculation on plant traits: a meta-analysis

H. Azarbad, R. R. Junker

This study conducts a meta-analysis to evaluate how biological and experimental factors influence the effectiveness of microbial inoculation on plant traits.

bioRxiv · Apr 30, 2024Ecology

Intermittent water stress favors microbial generalists that better help wheat under drought

R. Schmidt, H. Azarbad, L. Bainard, J. Tremblay, E. Yergeau

The paper shows that intermittent water stress history in soil selects for microbial generalists that enhance wheat's drought resistance.

bioRxiv · Nov 16, 2023 · PreprintMicrobiology

The stress history of soil bacteria under organic farming enhances the growth of wheat seedlings

M. Ornik, R. Salinas, G. Antonacci, M. Schadler, H. Azarbad

This study shows that soil bacteria from organic farming with a history of future climate conditions enhance wheat seedling growth and bacterial diversity compared to conventional farming soils.

bioRxiv · Nov 16, 2023Ecology

Early season soil microbiome best predicts wheat grain quality

N. I. Asad, X. Wang, J. A. Dozois, H. Azarbad, P. Constant, E. Yergeau

The paper finds that early season soil microbial data best predict wheat grain quality, with LASSO regression models highlighting key microbial parameters.

bioRxiv · Sep 29, 2022Microbiology

Metatranscriptomic response of the wheat holobiont to decreasing soil water content

P. M. Pande, H. Azarbad, J. Tremblay, M. St-Arnaud, E. Yergeau

The paper examines how wheat and its associated microorganisms respond to decreasing soil water content through metatranscriptomic analysis of roots and rhizosphere samples under different precipitation treatments.

bioRxiv · Sep 29, 2022Microbiology

Relative and quantitative rhizosphere microbiome profiling result in distinct abundance patterns

H. Azarbad, J. Tremblay, L. D. Bainard, E. Yergeau

The paper compares relative and quantitative abundance methods for rhizosphere microbiome profiling, finding that absolute abundance provides complementary insights to relative abundance.

bioRxiv · Feb 19, 2021Ecology