Djordje Bajic
Overview
Explore the profile of Djordje Bajic including associated specialties, affiliations and a list of published articles.
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Articles
23
Citations
742
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Recent Articles
1.
Diaz-Colunga J, Skwara A, Vila J, Bajic D, Sanchez A
Cell
. 2024 May;
187(12):3108-3119.e30.
PMID: 38776921
The many functions of microbial communities emerge from a complex web of interactions between organisms and their environment. This poses a significant obstacle to engineering microbial consortia, hindering our ability...
2.
Vila J, Goldford J, Estrela S, Bajic D, Sanchez-Gorostiaga A, Damian-Serrano A, et al.
bioRxiv
. 2023 Nov;
PMID: 37961608
When microbial communities form, their composition is shaped by selective pressures imposed by the environment. Can we predict which communities will assemble under different environmental conditions? Here, we hypothesize that...
3.
Takano S, Vila J, Miyazaki R, Sanchez A, Bajic D
Mol Biol Evol
. 2023 Aug;
40(9).
PMID: 37619982
Microbial strategies for resource use are an essential determinant of their fitness in complex habitats. When facing environments with multiple nutrients, microbes often use them sequentially according to a preference...
4.
Scott Jr W, Benito-Vaquerizo S, Zimmermann J, Bajic D, Heinken A, Suarez-Diez M, et al.
PLoS Comput Biol
. 2023 Aug;
19(8):e1011363.
PMID: 37578975
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...
5.
Chang C, Bajic D, Vila J, Estrela S, Sanchez A
Science
. 2023 Jul;
381(6655):343-348.
PMID: 37471535
Understanding the mechanisms that maintain microbial biodiversity is a critical aspiration in ecology. Past work on microbial coexistence has largely focused on species pairs, but it is unclear whether pairwise...
6.
Diaz-Colunga J, Skwara A, Gowda K, Diaz-Uriarte R, Tikhonov M, Bajic D, et al.
Philos Trans R Soc Lond B Biol Sci
. 2023 Apr;
378(1877):20220053.
PMID: 37004717
Epistatic interactions between mutations add substantial complexity to adaptive landscapes and are often thought of as detrimental to our ability to predict evolution. Yet, patterns of global epistasis, in which...
7.
Sanchez A, Bajic D, Diaz-Colunga J, Skwara A, Vila J, Kuehn S
Cell Syst
. 2023 Feb;
14(2):122-134.
PMID: 36796331
Quantitatively linking the composition and function of microbial communities is a major aspiration of microbial ecology. Microbial community functions emerge from a complex web of molecular interactions between cells, which...
8.
Bajic D, Rebolleda-Gomez M, Munoz M, Sanchez A
Front Microbiol
. 2021 Oct;
12:718082.
PMID: 34671327
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,...
9.
Estrela S, Vila J, Lu N, Bajic D, Rebolleda-Gomez M, Chang C, et al.
Cell Syst
. 2021 Oct;
13(1):29-42.e7.
PMID: 34653368
For microbiome biology to become a more predictive science, we must identify which descriptive features of microbial communities are reproducible and predictable, which are not, and why. We address this...
10.
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)
Dukovski I, Bajic D, Chacon J, Quintin M, Vila J, Sulheim S, et al.
Nat Protoc
. 2021 Oct;
16(11):5030-5082.
PMID: 34635859
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,...