Results 91 to 100 of about 113,792 (266)

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

Fecal Microbiota Characteristics in Constipation-Predominant and Mixed-Type Irritable Bowel Syndrome

Microorganisms
Background: Irritable bowel syndrome (IBS) is a common condition that affects the lifestyle of patients. It is associated with significant changes in the composition of the gut microbiome, but the underlying microbial mechanisms remain to be fully ...
Mariya Gryaznova, Yuliya Smirnova, Inna Burakova, Polina Morozova, Svetlana Lagutina, Pavel Chizhkov, Olga Korneeva, Mikhail Syromyatnikov   +7 more
doaj   +1 more source

Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis

Advanced Science, EarlyView.
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, Yunping Chen, Wei Zhou, Yanghong Xu, Junran Huang, Yi Chen, Jizhou Meng, Guoxin Yao, Wenchao Huang   +8 more
wiley   +1 more source

Genomically Informed Surveillance for Carbapenem-Resistant Enterobacteriaceae in a Health Care System

mBio, 2015
Carbapenem-resistant Enterobacteriaceae (CRE) are an urgent public health concern. Rapid identification of the resistance genes, their mobilization capacity, and strains carrying them is essential to direct hospital resources to prevent spread and ...
Nicole D. Pecora, Ning Li, Marc Allard, Cong Li, Esperanza Albano, Mary Delaney, Andrea Dubois, Andrew B. Onderdonk, Lynn Bry   +8 more
doaj   +1 more source

A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats

Advanced Science, EarlyView.
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, Heqi Wu, Mengqi Qu, Chunge Zhang, Ziqian Xu, Yuhang Pei, Chaochao Zhao, Jiangtao Wang, Sufang Ma, Na Lyu, Xuebin Xu, Yuhai Bi, Baoli Zhu, George F. Gao   +13 more
wiley   +1 more source

Linking Plant Metabolomics with Fungal Functional Dynamics Reveals a Noncanonical S‐R‐C Adaptive Trajectory

Advanced Science, EarlyView.
Using field‐based holo‐omics, we demonstrate that developmental shifts in sorghum leaf metabolomes drive a noncanonical fungal succession from stress tolerators (S) through ruderals (R) to competitors (C). Antifungal metabolites in young leaves select for S strategists with expanded genomes, transient maltose pulses during flowering favor fast‐growing ...
Peilin Chen, John W. Taylor, Cheng Gao
wiley   +1 more source

Emerging Clostridioides difficile ribotypes have divergent metabolic phenotypes

mSystems
Clostridioides difficile is a gram-positive spore-forming pathogen that commonly causes diarrheal infections in the developed world. Although C. difficile is a genetically diverse species, certain ribotypes are overrepresented in human infections, and it
Firas S. Midani, Heather A. Danhof, Nathanael Mathew, Colleen K. Ardis, Kevin W. Garey, Jennifer K. Spinler, Robert A. Britton   +6 more
doaj   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

The effect of short-term consumption of Bifidobacterium bifidum on the gut microbiome of obese individuals

Experimental Biology and Medicine
It is known that gut microbiota dysbiosis can lead to obesity by disrupting energy consumption and metabolism. Probiotic supplements are a potential therapeutic option for improving intestinal homeostasis.
Inna Burakova, Yuliya Smirnova, Polina Morozova, Svetlana Pogorelova, Olga Kryukova, Tatiana Kislova, Olga Korneeva, Mikhail Syromyatnikov   +7 more
doaj   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
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, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source