Results 161 to 170 of about 594,871 (338)
A biohybrid nanorobot integrating lytic bacteriophage N4 with Pd nanozymes is developed for targeted eradication of multidrug‐resistant E. coli biofilms. Synergistic bacterial lysis and ROS‐mediated oxidation enable simultaneous biofilm removal and antibiotic resistance genes degradation, maintaining high efficacy in complex wastewater environments ...
Junzheng Zhang +9 more
wiley +1 more source
Phenotypic and phylogenetic analyses show Microcoleus chthonoplastes to be a cosmopolitan cyanobacterium [PDF]
Ferrán García‐Pichel +2 more
openalex +1 more source
Ruminant macroevolution: a phylogenetic approach based on extant faunas [PDF]
Cantalapiedra, Juan L. +2 more
core +1 more source
This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue +11 more
wiley +1 more source
New insights into tragulid phylogeny of Europe: Dorcatherium naui from the latest Middle Miocene of Austria [PDF]
Aiglstorfer, Manuela +3 more
core +1 more source
We introduce a new membrane‐active antifungal design, Gua‐SMACS‐16, that exhibits high potency and single‐species selectivity for C. tropicalis while sparing other close species in the Candida genus. Moreover, when combining with caspofungin, a clinical antifungal drug inhibiting 1,3‐β‐glucan synthase, they exhibit ultra‐strong synergy across a panel ...
Tianjiao Dai +8 more
wiley +1 more source
Osiris: accessible and reproducible phylogenetic and phylogenomic analyses within the Galaxy workflow management system [PDF]
Todd H. Oakley +6 more
openalex +1 more source
Dental eruption in ruminants and other mammals [PDF]
Asher, Robert J., Wörheide, Gert
core +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

