Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jeremy M Chacón"'
Autor:
Allison K Shaw, Chiara Accolla, Jeremy M Chacón, Taryn L Mueller, Maxime Vaugeois, Ya Yang, Nitin Sekar, Daniel E Stanton
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0259710 (2021)
Several racial and ethnic identities are widely understood to be under-represented within academia, however, actual quantification of this under-representation is surprisingly limited. Challenges include data availability, demographic inertia and ide
Externí odkaz:
https://doaj.org/article/38ff912a05ba4dce985a5dc8233fc8cd
Publikováno v:
PLoS Pathogens, Vol 16, Iss 7, p e1008700 (2020)
With antibiotic resistance rates on the rise, it is critical to understand how microbial species interactions influence the evolution of resistance. In obligate mutualisms, the survival of any one species (regardless of its intrinsic resistance) is c
Externí odkaz:
https://doaj.org/article/60e643f6d32942d1a47633de3a962b57
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 1, p e1007585 (2020)
The rate at which a species responds to natural selection is a central predictor of the species' ability to adapt to environmental change. It is well-known that spatially-structured environments slow the rate of adaptation due to increased intra-geno
Externí odkaz:
https://doaj.org/article/12cb4b894d0e42aeb9344a075d5d0850
Autor:
Nahui Olin Medina-Chávez, Abigail Torres-Cerda, Jeremy M. Chacón, William R. Harcombe, Susana De la Torre-Zavala, Michael Travisano
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Microbial syntrophy, a cooperative metabolic interaction among prokaryotes, serves a critical role in shaping communities, due to the auxotrophic nature of many microorganisms. Syntrophy played a key role in the evolution of life, including the hypot
Externí odkaz:
https://doaj.org/article/5c300f44cb9f4b44b902727a754dabc0
Autor:
Jonathan N. V. Martinson, Jeremy M. Chacón, Brian A. Smith, Alex R. Villarreal, Ryan C. Hunter, William R. Harcombe
Predicting evolution in microbial communities is critical for problems from human health to global nutrient cycling. Understanding how species interactions impact the distribution of fitness effects for a focal population would enhance our ability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708a684ee2b531f43675b0c582328052
https://doi.org/10.1101/2023.05.08.539835
https://doi.org/10.1101/2023.05.08.539835
Autor:
Jonathan N.V. Martinson, Sarah P. Hammarlund, Jeremy M. Chacón, Leno B. Smith, William R. Harcombe
Publikováno v:
Annual Review of Ecology, Evolution, and Systematics. 52:363-384
Mutually beneficial interspecific interactions are abundant throughout the natural world, including between microbes. Mutualisms between microbes are critical for everything from human health to global nutrient cycling. Studying model microbial mutua
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
Publikováno v:
Environmental Microbiology. 21:759-771
Species interactions and coexistence are often dependent upon environmental conditions. When two cross-feeding bacteria exchange essential nutrients, the addition of a cross-fed nutrient to the environment can release one species from its dependence
Autor:
Maxime Vaugeois, Jeremy M. Chacón, Taryn L. Mueller, Daniel E. Stanton, Chiara Accolla, Nitin Sekar, Allison K. Shaw, Ya Yang
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 12, p e0259710 (2021)
PLoS ONE, Vol 16, Iss 12, p e0259710 (2021)
Several racial and ethnic identities are widely understood to be under-represented within academia, however, actual quantification of this under-representation is surprisingly limited. Challenges include data availability, demographic inertia and ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f251002112905ecc9d338697cde7ae
https://doi.org/10.1002/essoar.10506980.1
https://doi.org/10.1002/essoar.10506980.1
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)
Autor:
Ilija, Dukovski, Djordje, Bajić, Jeremy M, Chacón, Michael, Quintin, Jean C C, Vila, Snorre, Sulheim, Alan R, Pacheco, David B, Bernstein, William J, Riehl, Kirill S, Korolev, Alvaro, Sanchez, William R, Harcombe, Daniel, Segrè
Publikováno v:
Nature protocols. 16(11)
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