D
Djordje Bajić
Researcher at Yale University
Publications - 28
Citations - 1307
Djordje Bajić is an academic researcher from Yale University. The author has contributed to research in topics: Population & Gene. The author has an hindex of 10, co-authored 27 publications receiving 706 citations. Previous affiliations of Djordje Bajić include Spanish National Research Council.
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Journal ArticleDOI
Emergent simplicity in microbial community assembly.
Joshua E. Goldford,Joshua E. Goldford,Nanxi Lu,Djordje Bajić,Sylvie Estrela,Mikhail Tikhonov,Mikhail Tikhonov,Alicia Sánchez-Gorostiaga,Daniel Segrè,Pankaj Mehta,Alvaro Sanchez,Alvaro Sanchez +11 more
TL;DR: Monitoring the assembly of hundreds of soil- and plant-derived microbiomes in well-controlled minimal synthetic media shows that the community-level function and the coarse-grained taxonomy of the resulting communities are highly predictable and governed by nutrient availability, despite substantial species variability.
Posted ContentDOI
Emergent Simplicity in Microbial Community Assembly
Joshua E. Goldford,Joshua E. Goldford,Nanxi Lu,Djordje Bajić,Sylvie Estrela,Mikhail Tikhonov,Mikhail Tikhonov,Alicia Sánchez-Gorostiaga,Daniel Segrè,Pankaj Mehta,Alvaro Sanchez,Alvaro Sanchez +11 more
TL;DR: It is shown that soil and plant-associated microbiota, cultivated ex situ in minimal synthetic environments with a single supplied source of carbon, universally re-assemble into large and dynamically stable communities with strikingly predictable coarse-grained taxonomic and functional compositions.
Journal ArticleDOI
High-order interactions distort the functional landscape of microbial consortia.
Alicia Sánchez-Gorostiaga,Djordje Bajić,Melisa L. Osborne,Juan F. Poyatos,Juan F. Poyatos,Alvaro Sanchez,Alvaro Sanchez +6 more
TL;DR: Inspired by the study of complex genetic interactions, this work examines how the amylolytic rate of combinatorial assemblages of six starch-degrading soil bacteria depend on the separate functional contributions from each species and their interactions and proposes a quantitative framework that allows us to separate the effect of behavioral and population dynamics interactions.
Journal ArticleDOI
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS).
Ilija Dukovski,Djordje Bajić,Jeremy M. Chacón,Michael Quintin,Jean C. C. Vila,Snorre Sulheim,Snorre Sulheim,Snorre Sulheim,Alan R. Pacheco,David B. Bernstein,William J. Riehl,Kirill S. Korolev,Alvaro Sanchez,William R. Harcombe,Daniel Segrè +14 more
TL;DR: Computation of microbial ecosystems in time and space (COMETS) as mentioned in this paper extends dynamic flux balance analysis to generate simulations of multiple microbial species in molecularly complex and spatially structured environments.
Posted Content
Computation Of Microbial Ecosystems in Time and Space (COMETS): An open source collaborative platform for modeling ecosystems metabolism
Ilija Dukovski,Djordje Bajić,Jeremy M. Chacón,Michael Quintin,Jean C. C. Vila,Snorre Sulheim,Alan R. Pacheco,David B. Bernstein,William J Rieh,Kirill S. Korolev,Alvaro Sanchez,William R. Harcombe,Daniel Segrè +12 more
TL;DR: This protocol provides a detailed guideline for installing, testing and applying COMETS 2 to different scenarios, with broad applicability to microbial communities across biomes and scales.