Results 111 to 120 of about 465,608 (240)
Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis
Additive and partially dominant effects, namely at mid‐parent levels or values between mid‐parent and parental levels, respectively, are the predominant inheritance patterns of heterosis‐associated molecules. These two genetic effects contribute to heterosis of agronomic traits in both rice and maize, as well as biomass heterosis in Arabidopsis ...
Zhiwu Dan +8 more
wiley +1 more source
A novel root‐shoot‐root signaling relay, mediated by CLE peptides, coordinates drought adaptation in common bean. Root‐derived PvCLE11b translocates acropetally to leaves, inducing PvCLE16 expression via PvTCP10. Leaf‐accumulated PvCLE16 triggers stomatal closure and translocates basipetally to modulate root architecture.
Xinyang Wu +12 more
wiley +1 more source
A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats
ABSTRACT Migratory birds play an important role in the spread of antimicrobial resistance (AMR); however, gaps in surveillance data from vital regions along migratory flyways across China limit the detection of emergent threats. Here, we assembled 340 metagenomes from 52 bird species covering 11 provincial administrative districts in China, presenting ...
Yanan Wang +13 more
wiley +1 more source
Plant‐Derived Melatonin Inhibits Bacterial Virulence via CpxA/R Two‐Component System
Plant‐derived melatonin is sensed by CpxAE48/T51, which inhibits the phosphorylation cascade transmission from CpxAH240 to CpxRD52, resulting in the inhibition of DNA‐binding capacity of CpxR and subsequent T3SS genes expression in Pst DC3000. ABSTRACT In defending against pathogens, plants deploy diverse secondary metabolites and signaling molecules ...
Jin‐Wei Wei +7 more
wiley +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
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source
Phylogenetic systematics of Juncaceae
Abstract Premise Juncaceae has needed taxonomic revision for some time. Specifically, the genus Juncus s.l. is known to be paraphyletic because five small southern‐hemisphere genera have been shown repeatedly to be nested within it. In 2022, a new classification was proposed, based on phylogenies built from one nuclear and three plastid regions ...
Reed J. Kenny +2 more
wiley +1 more source

