Machine learning predicts the impact of antibiotic properties on the composition and functioning of bacterial community in aquatic habitats DOI
Jian Kang, Zhenyan Zhang, Yiling Chen

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 828, P. 154412 - 154412

Published: March 9, 2022

Language: Английский

Global distribution of marine microplastics and potential for biodegradation DOI
Bingfeng Chen, Zhenyan Zhang,

Tingzhang Wang

et al.

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 451, P. 131198 - 131198

Published: March 11, 2023

Language: Английский

Citations

84
Phyllosphere Microorganisms: Sources, Drivers, and Their Interactions with Plant Hosts DOI

Nuohan Xu,

Qianqiu Zhao,

Zhenyan Zhang

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2022, Volume and Issue: 70(16), P. 4860 - 4870

Published: April 18, 2022

The leaves of plants are colonized by various microorganisms. In comparison to the rhizosphere, less is known about characteristics and ecological functions phyllosphere Phyllosphere microorganisms mainly originate from soil, air, seeds. composition affected abiotic factors. execute multiple influencing leaf longevity, seed mass, fruit development, homeostasis host growth. A plant can respond secondary metabolite secretion its immune system. Meanwhile, play an important role in stability environmental safety assessment. However, as a result instability environment poor cultivability current research, there still many limitations, such lack insight into mechanisms plant–microorganism interactions, roles growth processes, responses metabolites, etc. This review summarizes latest progress made research recent years. beneficial for deepening our understanding promoting plant–atmosphere pathogens, biological control.

Language: Английский

Citations

72
Rhizosphere bacterial interactions and impact on plant health DOI Creative Commons

Jane Chepsergon,

Lucy Moleleki

Current Opinion in Microbiology, Journal Year: 2023, Volume and Issue: 73, P. 102297 - 102297

Published: March 30, 2023

The rhizosphere is a chemically complex environment that harbors strikingly diverse microbial community. past few decades have seen rapid growth in the body of literature on plant–microbe–microbe interactions and plant health. Thus, aim this paper to review current knowledge (specifically bacteria) how these influence microbiomes impact This article discusses (i) recruits beneficial bacteria ii) competition between mechanisms/weapons employed bacteria–bacteria shapes microbiome turn affects heath. discussion mainly focuses interference competition, characterized by production specialized metabolites (antibacterial compounds) exploitative where bacterial strain restricts competitor's access nutrients such as through secretion siderophores could allude cooperation. Understanding mechanisms plant–bacteria provide insights into manipulate for improved agricultural outcomes.

Language: Английский

Citations

71
Effects of ofloxacin on the structure and function of freshwater microbial communities DOI
Yu Deng,

Andries Debognies,

Qi Zhang

et al.

Aquatic Toxicology, Journal Year: 2022, Volume and Issue: 244, P. 106084 - 106084

Published: Jan. 20, 2022

Language: Английский

Citations

51
Identifying microbiota community patterns important for plant protection using synthetic communities and machine learning DOI Creative Commons

Barbara Emmenegger,

Julien Massoni, Christine M. Pestalozzi

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Dec. 2, 2023

Plant-associated microbiomes contribute to important ecosystem functions such as host resistance biotic and abiotic stresses. The factors that determine community outcomes are inherently difficult identify under complex environmental conditions. In this study, we present an experimental analytical approach explore microbiota properties relevant for a microbiota-conferred phenotype, here plant protection, in reductionist system. We screened 136 randomly assembled synthetic communities (SynComs) of five bacterial strains each, followed by classification regression analyses well empirical validation test potential explanatory structure composition, including evenness, total commensal colonization, phylogenetic diversity, strain identity. find identity be the most predictor pathogen reduction, with machine learning algorithms improving performances compared random classifications (94-100% versus 32% recall) non-modelled predictions (0.79-1.06 1.5 RMSE). Further confirms three main drivers reduction two additional confer protection combination. Beyond specific application presented our provide framework can adapted help features function other biological systems.

Language: Английский

Citations

36
Detection, Diagnosis, and Preventive Management of the Bacterial Plant Pathogen Pseudomonas syringae DOI Creative Commons

Piao Yang,

Lijing Zhao,

Yu Gao

et al.

Plants, Journal Year: 2023, Volume and Issue: 12(9), P. 1765 - 1765

Published: April 25, 2023

Plant diseases caused by the pathogen Pseudomonas syringae are serious problems for various plant species worldwide. Accurate detection and diagnosis of P. infections critical effective management these diseases. In this review, we summarize current methods syringae, including traditional techniques such as culture isolation microscopy, relatively newer PCR ELISA. It should be noted that each method has its advantages disadvantages, choice depends on specific requirements, resources laboratory, field settings. We also discuss future trends in field, need more sensitive to detect pathogens at low concentrations can used diagnose co-existing with other pathogens. Modern technologies genomics proteomics could lead development new highly accurate based analysis genetic protein markers Furthermore, using machine learning algorithms analyze large data sets yield insights into biology novel diagnostic strategies. This review enhance our understanding help foster related

Language: Английский

Citations

30
Bacterial biogeography in China and its association to land use and soil organic carbon DOI Open Access
Tao Lu,

Nuohan Xu,

Chaotang Lei

et al.

Soil Ecology Letters, Journal Year: 2023, Volume and Issue: 5(4)

Published: June 10, 2023

Language: Английский

Citations

25
Does straw returning affect the root rot disease of crops in soil? A systematic review and meta-analysis DOI Open Access
Feiyan Yu, Yuxuan Chen, Xiaowei Huang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 336, P. 117673 - 117673

Published: March 16, 2023

Language: Английский

Citations

23
Engineering agricultural soil microbiomes and predicting plant phenotypes DOI
Chiara A. Berruto, Gözde S. Demirer

Trends in Microbiology, Journal Year: 2024, Volume and Issue: 32(9), P. 858 - 873

Published: Feb. 29, 2024

Language: Английский

Citations

14
Deciphering Microbial Community and Nitrogen Fixation in the Legume Rhizosphere DOI

Yaohui Yang,

Nuohan Xu,

Zhenyan Zhang

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(11), P. 5659 - 5670

Published: March 5, 2024

Nitrogen is the most limiting factor in crop production. Legumes establish a symbiotic relationship with rhizobia and enhance nitrogen fixation. We analyzed 1,624 rhizosphere 16S rRNA gene samples 113 metagenomic from three typical legumes non-legumes. The microbial community of had low diversity was enriched nitrogen-cycling bacteria (Sphingomonadaceae, Xanthobacteraceae, Rhizobiaceae, Bacillaceae). Furthermore, microbiota exhibited high abundance nitrogen-fixing genes, reflecting stronger potential, Streptomycetaceae Nocardioidaceae were predominant bacteria. also identified helper confirmed through metadata analysis pot experiment that synthesis riboflavin by key promoting Our study emphasizes construction synthetic communities crucial for development efficient fertilizers.

Language: Английский

Citations

13