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The New Phytologist
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March 14, 2015
Local-scale biogeography and spatiotemporal variability in communities of mycorrhizal fungi
Mohammad Bahram, Kabir G Peay, Leho Tedersoo
Molecular Ecology
|
January 10, 2014
Does host plant richness explain diversity of ectomycorrhizal fungi? Re-evaluation of Gao et al. (2013) data sets reveals sampling effects
Leho Tedersoo, Mohammad Bahram, Ian A Dickie
Scientific Reports
|
May 2, 2026
Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach
Hossein Khosravi, Marzie Mohammadi Pour, Mohammad Bahram
FEMS Microbiology Ecology
|
December 1, 2010
A single European aspen (Populus tremula) tree individual may potentially harbour dozens of Cenococcum geophilum ITS genotypes and hundreds of species of ectomycorrhizal fungi
Mohammad Bahram, Sergei Põlme, Urmas Kõljalg, et al.
Molecular Ecology Resources
|
May 26, 2017
PipeCraft: Flexible open-source toolkit for bioinformatics analysis of custom high-throughput amplicon sequencing data
Sten Anslan, Mohammad Bahram, Indrek Hiiesalu, et al.
FEMS Microbiology Ecology
|
November 21, 2025
Contrasting diversity patterns of brown: and white-rot wood saprotrophs in response to climate and dispersal vectors
Anika Gossmann, Kadri Runnel, Mohammad Bahram, et al.
Journal of Applied Microbiology
|
February 23, 2026
Assessing the specificity of bacterial-fungal interactions for biocontrol strategies
Mari Pent, Mohammad Bahram, Helery Hindriksoo, et al.
FEMS Microbiology Ecology
|
August 21, 2020
Bacterial community dynamics across developmental stages of fungal fruiting bodies
Daniyal Gohar, Mari Pent, Kadri Põldmaa, et al.
The New Phytologist
|
August 16, 2014
Global biogeography of Alnus-associated Frankia actinobacteria
Sergei Põlme, Mohammad Bahram, Urmas Kõljalg, et al.
Scientific Reports
|
December 9, 2025
Prediction of crack repair percentage in self-healing concrete using machine learning
Hossein Khosravi, Peyman Kiani, Mohammad Bahram, et al.
Page
of 11
Search research articles
Search
Showing results (11-20 of 106) with videos related to
Sort By:
Page
of 11
The New Phytologist
|
March 14, 2015
Local-scale biogeography and spatiotemporal variability in communities of mycorrhizal fungi
Mohammad Bahram, Kabir G Peay, Leho Tedersoo
Molecular Ecology
|
January 10, 2014
Does host plant richness explain diversity of ectomycorrhizal fungi? Re-evaluation of Gao et al. (2013) data sets reveals sampling effects
Leho Tedersoo, Mohammad Bahram, Ian A Dickie
Scientific Reports
|
May 2, 2026
Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach
Hossein Khosravi, Marzie Mohammadi Pour, Mohammad Bahram
FEMS Microbiology Ecology
|
December 1, 2010
A single European aspen (Populus tremula) tree individual may potentially harbour dozens of Cenococcum geophilum ITS genotypes and hundreds of species of ectomycorrhizal fungi
Mohammad Bahram, Sergei Põlme, Urmas Kõljalg, et al.
Molecular Ecology Resources
|
May 26, 2017
PipeCraft: Flexible open-source toolkit for bioinformatics analysis of custom high-throughput amplicon sequencing data
Sten Anslan, Mohammad Bahram, Indrek Hiiesalu, et al.
FEMS Microbiology Ecology
|
November 21, 2025
Contrasting diversity patterns of brown: and white-rot wood saprotrophs in response to climate and dispersal vectors
Anika Gossmann, Kadri Runnel, Mohammad Bahram, et al.
Journal of Applied Microbiology
|
February 23, 2026
Assessing the specificity of bacterial-fungal interactions for biocontrol strategies
Mari Pent, Mohammad Bahram, Helery Hindriksoo, et al.
FEMS Microbiology Ecology
|
August 21, 2020
Bacterial community dynamics across developmental stages of fungal fruiting bodies
Daniyal Gohar, Mari Pent, Kadri Põldmaa, et al.
The New Phytologist
|
August 16, 2014
Global biogeography of Alnus-associated Frankia actinobacteria
Sergei Põlme, Mohammad Bahram, Urmas Kõljalg, et al.
Scientific Reports
|
December 9, 2025
Prediction of crack repair percentage in self-healing concrete using machine learning
Hossein Khosravi, Peyman Kiani, Mohammad Bahram, et al.
Page
of 11