BMAC Weekly — 2026-W36
8 papers selected for 2026-W36.
2026-08-25–2026-08-31 · 8 papers
A comparative observational study of prokaryotic microbial community dynamics across different Litopenaeus vannamei cultivation systems
Chaosheng Zhou, Yue Wu, Maocang Yan, Rongmao Lu, Xiaolin Huang, Shaoguo Ru
2026-08-26 · Frontiers in Marine Science
TL;DR. A comparative observational study of prokaryotic communities in three Litopenaeus vannamei cultivation systems found system-specific diversity and composition, with earthen brackish ponds showing higher alpha-diversity but increasing potential pathogens, while concrete seawater ponds had the highest predicted metabolic potential.
Key signal. Salinity and cultivation system were major correlates of community variation, with earthen brackish ponds showing more stable succession but increasing potentially pathogenic genera over time.
Why it matters here. This provides empirical baselines for microbial community dynamics in aquaculture, relevant to your interest in microbial population dynamics and community ecology.
A generalized growth law for translation- and transcription-targeting antibiotics captures drug interactions
Natawan Gadjisade, Matteo Mori, Tobias Bollenbach
2026-08-24 · bioRxiv (Cold Spring Harbor Laboratory)
TL;DR. A generalized bacterial growth law for translation- and transcription-targeting antibiotics was developed, showing that ribosome responses vary by antibiotic mechanism and that individual responses superimpose to predict drug interactions.
Key signal. Antibiotics disrupting translation initiation or fidelity do not elicit the canonical ribosome upregulation, and combining antibiotics reveals a generalized growth law where individual responses superimpose.
Why it matters here. This extends bacterial growth laws to antibiotic perturbations, directly relevant to your work on microbial physiology, growth laws, and antibiotic resistance.
Flux balance analysis of microbial communities from metabolic strategies: composition, cross-feeding and ecological service
T Paez-Watson, M Suarez-Diez, F Bruggeman
2026-08-21 · bioRxiv
TL;DR. A physiology-based formulation of community flux balance analysis reduces each species' metabolism to macrochemical equations, enabling prediction of community composition, growth rate, and metabolic exchanges as a single linear program.
Key signal. The method predicts optimal community composition and metabolic strategies, illustrated on a two-species synergistic community, a five-member anaerobic digestion community, and a syngas-fermenting coculture.
Why it matters here. This offers a scalable tool for modeling microbial community metabolism and cross-feeding, relevant to your interest in microbial community ecology and metabolic networks.
Data-driven Effective Modeling of Stochastic Chemical Reaction Networks
Yuan Chen, Weize Mao, Dongbin Xiu
2026-08-26 · arXiv (Cornell University)
TL;DR. A data-driven effective model for stochastic chemical reaction networks approximates the finite-time transition kernel using conditional normalizing flows, enabling efficient simulation at coarse time steps.
Key signal. The trained stochastic propagator generates statistically consistent trajectories with significantly reduced computational cost compared to the Stochastic Simulation Algorithm.
Why it matters here. This enabling-method could accelerate simulations of biochemical reaction networks, relevant to your interest in biomolecular and biochemical reaction networks.
Ablation and Seed-driven Restoration of an Alpha-Satellite Devoid Human Centromere Reveals Size Homeostasis Mechanisms
Miao Lin, Shan Hua, Cody J. Naccarato, Zhao Zhang, Zhijie Liu, Fen Guo, Vanessa Horner, M. Anwar Iqbal, Archibald Perkins, Patrick J. Murphy, Bin Zhang
2026-08-17 · bioRxiv (Cold Spring Harbor Laboratory)
TL;DR. Using a genetically tractable human neocentromere system devoid of repetitive DNA, the study shows that centromere formation involves seed acquisition followed by regulated domain expansion, with size homeostasis maintaining domain size.
Key signal. Partial loss of centromeric chromatin triggers restoration via seed-driven expansion into adjacent naive chromatin, whereas boundary creation without mass loss only leads to local remodeling.
Why it matters here. This reveals mechanisms of chromatin domain size homeostasis, relevant to your interest in cell division and size homeostasis, though in human cells rather than microbes.
Neglected drivers of antibiotic resistance dissemination: promoted the horizontal transfer of antibiotic resistance genes by quorum sensing-mediated filamentous …
HX Shi, YP Chen, JS Guo, P Yan
2026-01-01 · Bioresource Technology
TL;DR. The abstract is incomplete, but the title suggests that quorum sensing-mediated filamentous processes promote horizontal transfer of antibiotic resistance genes, acting as neglected drivers of resistance dissemination.
Why it matters here. This connects to your interests in antibiotic resistance and microbial community dynamics, though the full abstract was unavailable.
Microbial community structure in the firn associated with a ∼1000 km transect of the Eastern Antarctic Ice Sheet
J. R. Lawrence, Isis Cohen Nicholson, Rebecca McCerery, Laure Newby, Rosalia Calvo‐Ryan, Andrew Nelson, Joseph A. Graly, Elisabeth Isaksson, Andrew Hodson, David A. Pearce
2026-08-20 · FEMS Microbiology Ecology
TL;DR. Microbial community structure in firn cores along a ~1000 km transect of the Eastern Antarctic Ice Sheet showed spatial and vertical heterogeneity, with ion concentrations like phosphate correlating with diversity.
Key signal. Firn microbial communities are spatially structured and depth-dependent, influenced by depositional variability and local geochemical conditions.
Why it matters here. This adds to understanding of microbial population dynamics in extreme environments, relevant to your interest in microbial community ecology.
Carbon substrate type shapes spatial self-organization in a multi-species biofilm community
Deyong Zhu, Anna J. Svagan, Nan Yang, Mads Frederik Hansen, Michael Kühl, Mette Burmølle
2026-08-27 · The ISME Journal
TL;DR. Carbon substrate type shapes spatial self-organization in a four-member synthetic biofilm community, with diffusible sugars leading to intermixed communities and polymeric substrates promoting structured organization with polymer-degrading species at the periphery.
Key signal. Polymer-rich carbon substrates promote a highly structured biofilm organization, while diffusible simple carbon substrates yield intermixed communities, suggesting carbon substrate type as an ecological determinant.
Why it matters here. This links environmental factors to spatial self-organization in biofilms, relevant to your interest in microbial community ecology and population dynamics.