Exploiting Bacterial Genera as Biocontrol Agents: Mechanisms, Interactions and Applications in Sustainable Agriculture DOI Creative Commons
Jaeyeon Lee, Soomin Kim,

Hoseong Jung

et al.

Journal of Plant Biology, Journal Year: 2023, Volume and Issue: 66(6), P. 485 - 498

Published: July 6, 2023

Abstract The rising demand for sustainable agriculture necessitates alternative methods to using chemical pesticides controlling plant pathogens. Biocontrol involves the use of natural antagonists, such as bacteria, an synthetic pesticides, which can be harmful human health and environment. This review discusses potential Bacillus , Streptomyces Pseudomonas Serratia biocontrol agents (BCAs) against various These bacteria suppress pathogen growth via mechanisms, antibiosis, nutrient space competition systemic resistance, significantly contribute growth. We provide overview secondary metabolites, interactions microbiota these bacteria. BCAs offer a promising solution pathogens help maintain one-health principle.

Language: Английский

Plant–microbiome interactions: from community assembly to plant health DOI
Pankaj Trivedi, Jan E. Leach, Susannah G. Tringe

et al.

Nature Reviews Microbiology, Journal Year: 2020, Volume and Issue: 18(11), P. 607 - 621

Published: Aug. 12, 2020

Language: Английский

Citations

2325

Genetic strategies for improving crop yields DOI Open Access
Julia Bailey‐Serres, Jane E. Parker, Elizabeth A. Ainsworth

et al.

Nature, Journal Year: 2019, Volume and Issue: 575(7781), P. 109 - 118

Published: Nov. 6, 2019

Language: Английский

Citations

1134

Agricultural intensification reduces microbial network complexity and the abundance of keystone taxa in roots DOI Creative Commons
Samiran Banerjee, Florian Walder, Lucie Büchi

et al.

The ISME Journal, Journal Year: 2019, Volume and Issue: 13(7), P. 1722 - 1736

Published: March 8, 2019

Root-associated microbes play a key role in plant performance and productivity, making them important players agroecosystems. So far, very few studies have assessed the impact of different farming systems on root microbiota it is still unclear whether agricultural intensification influences structure complexity microbial communities. We investigated conventional, no-till, organic wheat fungal communities using PacBio SMRT sequencing samples collected from 60 farmlands Switzerland. Organic harbored much more complex network with significantly higher connectivity than conventional no-till systems. The abundance keystone taxa was highest under where lowest. also found strong negative association (R2 = 0.366; P < 0.0001) between connectivity. occurrence best explained by soil phosphorus levels, bulk density, pH, mycorrhizal colonization. majority are known to form arbuscular associations plants belong orders Glomerales, Paraglomerales, Diversisporales. Supporting this, fungi roots soils farming. To our knowledge, this first study report for agroecosystems, we demonstrate that reduces microbiome.

Language: Английский

Citations

942

NRT1.1B is associated with root microbiota composition and nitrogen use in field-grown rice DOI
Jingying Zhang, Yongxin Liu, Na Zhang

et al.

Nature Biotechnology, Journal Year: 2019, Volume and Issue: 37(6), P. 676 - 684

Published: April 29, 2019

Language: Английский

Citations

826

A practical guide to amplicon and metagenomic analysis of microbiome data DOI Creative Commons
Yongxin Liu, Yuan Qin, Tong Chen

et al.

Protein & Cell, Journal Year: 2020, Volume and Issue: 12(5), P. 315 - 330

Published: May 11, 2020

Abstract Advances in high-throughput sequencing (HTS) have fostered rapid developments the field of microbiome research, and massive datasets are now being generated. However, diversity software tools complexity analysis pipelines make it difficult to access this field. Here, we systematically summarize advantages limitations methods. Then, recommend specific for amplicon metagenomic analyses, describe commonly-used databases, help researchers select appropriate tools. Furthermore, introduce statistical visualization methods suitable analysis, including alpha- beta-diversity, taxonomic composition, difference comparisons, correlation, networks, machine learning, evolution, source tracing, common styles informed choices. Finally, a step-by-step reproducible guide is introduced. We hope review will allow carry out data more effectively quickly order efficiently mine biological significance behind data.

Language: Английский

Citations

620

Host selection shapes crop microbiome assembly and network complexity DOI Creative Commons
Chao Xiong, Yong‐Guan Zhu, Juntao Wang

et al.

New Phytologist, Journal Year: 2020, Volume and Issue: 229(2), P. 1091 - 1104

Published: Aug. 27, 2020

Plant microbiomes are essential to host health and productivity but the ecological processes that govern crop microbiome assembly not fully known. Here we examined bacterial communities across 684 samples from soils (rhizosphere bulk soil) multiple compartment niches (rhizoplane, root endosphere, phylloplane, leaf endosphere) in maize (Zea mays)-wheat (Triticum aestivum)/barley (Hordeum vulgare) rotation system under different fertilization practices at two contrasting sites. Our results demonstrate along soil-plant continuum is shaped predominantly by niche species rather than site or practice. From epiphytes endophytes, selection pressure sequentially increased diversity network complexity consequently reduced, with strongest effect endosphere. Source tracking indicates mainly derived gradually enriched filtered plant niches. Moreover, were dominated a few dominant taxa (c. 0.5% of phylotypes), bacilli identified as important biomarker for wheat barley Methylobacteriaceae maize. work provides comprehensive empirical evidence on selection, potential sources enrichment assembly, has implications future management manipulation sustainable agriculture.

Language: Английский

Citations

495

Linking Plant Secondary Metabolites and Plant Microbiomes: A Review DOI Creative Commons
Zhiqiang Pang, Jia Chen, Tuhong Wang

et al.

Frontiers in Plant Science, Journal Year: 2021, Volume and Issue: 12

Published: March 2, 2021

Plant secondary metabolites (PSMs) play many roles including defense against pathogens, pests, and herbivores; response to environmental stresses, mediating organismal interactions. Similarly, plant microbiomes participate in of the above-mentioned processes directly or indirectly by regulating metabolism. Studies have shown that plants can influence their microbiome secreting various and, turn, may also impact metabolome host plant. However, not much is known about communications between interacting partners phenotypic changes. In this article, we review patterns potential underlying mechanisms interactions PSMs microbiomes. We describe recent developments analytical approaches methods field. The applications these new increased our understanding relationships Though current studies primarily focused on model organisms, results obtained so far should help future agriculturally important facilitate development manipulate PSMs–microbiome with predictive outcomes for sustainable crop productions.

Language: Английский

Citations

468

A plant genetic network for preventing dysbiosis in the phyllosphere DOI
Tao Chen, Kinya Nomura, Xiaolin Wang

et al.

Nature, Journal Year: 2020, Volume and Issue: 580(7805), P. 653 - 657

Published: April 8, 2020

Language: Английский

Citations

434

Priority effects in microbiome assembly DOI
Reena Debray, Robin A. Herbert, Alexander L. Jaffe

et al.

Nature Reviews Microbiology, Journal Year: 2021, Volume and Issue: 20(2), P. 109 - 121

Published: Aug. 27, 2021

Language: Английский

Citations

323

Root microbiota shift in rice correlates with resident time in the field and developmental stage DOI
Jingying Zhang, Na Zhang, Yongxin Liu

et al.

Science China Life Sciences, Journal Year: 2018, Volume and Issue: 61(6), P. 613 - 621

Published: March 23, 2018

Language: Английский

Citations

280