Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Djordje Bajić"'
Autor:
William T Scott, Sara Benito-Vaquerizo, Johannes Zimmermann, Djordje Bajić, Almut Heinken, Maria Suarez-Diez, Peter J Schaap
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011363 (2023)
Harnessing the power of microbial consortia is integral to a diverse range of sectors, from healthcare to biotechnology to environmental remediation. To fully realize this potential, it is critical to understand the mechanisms behind the interactions
Externí odkaz:
https://doaj.org/article/bea255732a834a03bb544b2ca97e6d86
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Microorganisms display a stunning metabolic diversity. Understanding the origin of this diversity requires understanding how macroevolutionary processes such as innovation and diversification play out in the microbial world. Metabolic networks, which
Externí odkaz:
https://doaj.org/article/88a3a924bf7d4fb29e2392849dcaa463
Publikováno v:
iScience, Vol 24, Iss 7, Pp 102697- (2021)
Summary: Redox couples coordinate cellular function, but the consequences of their imbalances are unclear. This is somewhat associated with the limitations of their experimental quantification. Here we circumvent these difficulties by presenting an a
Externí odkaz:
https://doaj.org/article/cbf6856b3f184745901f70e1f192aeef
Publikováno v:
PLoS Biology, Vol 17, Iss 12, p e3000550 (2019)
Understanding the link between community composition and function is a major challenge in microbial population biology, with implications for the management of natural microbiomes and the design of synthetic consortia. Specifically, it is poorly unde
Externí odkaz:
https://doaj.org/article/04bacd10c4f04f0daafa671cf25c4645
Autor:
William T. Scott, Sara Benito-Vaquerizo, Johannes Zimmerman, Djordje Bajić, Almut Heinken, Maria Suarez-Diez, Peter J. Schaap
Harnessing the power of microbial consortia is integral to a diverse range of sectors, from healthcare to biotechnology to environmental remediation. To fully realize this potential, it is critical to understand the mechanisms behind the interactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d948710a2a430dec3fb8ff1f867a68
https://doi.org/10.1101/2023.02.08.527721
https://doi.org/10.1101/2023.02.08.527721
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)
Autor:
Michael Quintin, Ilija Dukovski, Alvaro Sanchez, Kirill S. Korolev, Daniel Segrè, Alan R. Pacheco, Djordje Bajić, Snorre Sulheim, David B. Bernstein, Jean C. C. Vila, William R. Harcombe, Jeremy M. Chacón, William J. Riehl
Publikováno v:
Nature Protocols. 16:5030-5082
Genome-scale stoichiometric modeling of metabolism has become a standard systems biology tool for modeling cellular physiology and growth. Extensions of this approach are emerging as a valuable avenue for predicting, understanding and designing micro
Autor:
Dorottya Kalapis, Patrick Kemmeren, Karola Almási, Juan F. Poyatos, Csaba Pál, Richard A. Notebaart, Balázs Papp, Zoltán Bódi, Bálint Kintses, Zoltán Farkas, Djordje Bajić, Andreea Daraba, Frank C. P. Holstege, Károly Kovács
Publikováno v:
Molecular Biology and Evolution
Molecular Biology and Evolution, 38(3), 1137-1150
Molecular Biology and Evolution 38 (2020) 3
Molecular Biology and Evolution, 38(3), 1137-1150
Molecular Biology and Evolution 38 (2020) 3
The fitness impact of loss-of-function mutations is generally assumed to reflect the loss of specific molecular functions associated with the perturbed gene. Here, we propose that rewiring of the transcriptome upon deleterious gene inactivation is fr
Publikováno v:
Evolution (N Y)
Artificial selection is a promising approach to manipulate microbial communities. Here, we report the outcome of two artificial selection experiments at the microbial community level. Both used “propagule” selection strategies, whereby the best-p
Autor:
Felipe Senne de Oliveira Lino, Morten Otto Alexander Sommer, Djordje Bajić, Alvaro Sanchez, Jean Celestin Charles Vila
Publikováno v:
Senne de Oliveira Lino, F, Bajic, D, Vila, J C C, Sánchez, A & Sommer, M O A 2021, ' Complex yeast–bacteria interactions affect the yield of industrial ethanol fermentation ', Nature Communications, vol. 12, no. 1, 1498 . https://doi.org/10.1038/s41467-021-21844-7
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Sugarcane ethanol fermentation represents a simple microbial community dominated by S. cerevisiae and co-occurring bacteria with a clearly defined functionality. In this study, we dissect the microbial interactions in sugarcane ethanol fermentation b