Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Tae-Gwan Kim"'
Publikováno v:
Journal of Microbiology and Biotechnology. 33:348-355
Publikováno v:
Microbiology and Biotechnology Letters. 50:548-556
Publikováno v:
Biotechnology Reports, Vol 4, Iss C, Pp 1-4 (2014)
Two different quantitative PCR platforms, droplet digital PCR (dd-PCR) and quantitative real-time PCR (qPCR), were compared in a mcrA-based methanogen community assay that quantifies ten methanogen sub-groups. Both technologies exhibited similar PCR
Externí odkaz:
https://doaj.org/article/ac9787d1177b475c9375d44f582bb6bb
Publikováno v:
Biotechnology Reports, Vol 4, Iss C, Pp 128-133 (2014)
Methanotrophs are a biological resource as they degrade the greenhouse gas methane and various organic contaminants. Several non-methanotrophic bacteria have shown potential to stimulate growth of methanotrophs when co-cultured, and however, the ecol
Externí odkaz:
https://doaj.org/article/813bfff5dd00405c903a1cd2e29882b6
Autor:
Tae Gwan Kim, Guy R. Knudsen
Publikováno v:
Journal of Microbiology and Biotechnology. 31:815-822
Indigenous fungus-feeding nematodes may adversely affect the growth and activity of introduced biocontrol fungi. Alginate pellets of the biocontrol fungus Trichoderma harzianum ThzID1-M3 and sclerotia of the fungal plant pathogen Sclerotinia scleroti
Publikováno v:
Microbiology and Biotechnology Letters. 49:101-110
Publikováno v:
2022 IEEE 49th Photovoltaics Specialists Conference (PVSC).
Publikováno v:
Microbiology and Biotechnology Letters. 48:547-555
Autor:
So-Yeon Jeong, Tae Gwan Kim
Publikováno v:
Microbial Ecology. 81:657-672
Plants may influence different aspects of the belowground microorganisms, including abundance, distribution, and interaction, in wetlands. Microbial communities were scrutinized in a 4-year-old restored wetland ecosystem with 5 distinct sites: a bare
Autor:
So-Yeon Jeong, Tae Gwan Kim
Publikováno v:
Microbial Ecology. 81:549-552
Interspecies interactions have a profound influence on spatial distribution of coexisting microbial species. We explored whether spatial variance of species distribution (SVSD) predicts the degree of interspecies interactions within a microbial metac