Agriculture Ecosystems & Environment, Journal Year: 2021, Volume and Issue: 319, P. 107534 - 107534
Published: June 11, 2021
Language: Английский
Agriculture Ecosystems & Environment, Journal Year: 2021, Volume and Issue: 319, P. 107534 - 107534
Published: June 11, 2021
Language: Английский
The ISME Journal, Journal Year: 2021, Volume and Issue: 15(6), P. 1722 - 1734
Published: Jan. 15, 2021
Language: Английский
Citations
880Frontiers 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
474Microbiome, Journal Year: 2019, Volume and Issue: 7(1)
Published: Nov. 7, 2019
Abstract Background Rhizosphere microbial communities are key regulators of plant performance, yet few studies have assessed the impact different management approaches on rhizosphere microbiomes major crops. shaped by interactions between agricultural and host selection processes, but often consider these factors individually rather than in combination. We tested impacts (M) effects (R) community structure co-occurrence networks maize roots collected from long-term conventionally organically managed maize-tomato agroecosystems. also explored interaction (M × R) how it diversity composition, differential abundance, indicator taxa, network structure, nitrogen-cycling processes. Results Host processes moderate influence communities, although bacteria fungi respond differently to management. found that plants recruit management-system-specific taxa shift N-cycling pathways rhizosphere, distinguishing this soil compartment bulk soil. conventional organic systems were more similar their respective soils, composition was affected both M R effects. In contrast, fungal only management, selection. Quantification six genes ( nifH , amoA [bacterial archaeal], nirK nrfA nosZ ) revealed abundance higher system. Conclusions Plant interacts with practices shape patterns, at least one process. Reframing research priorities better understand adaptive plant-microbe feedbacks include as a significant moderating outcomes could help guide plant-oriented strategies improve productivity agroecosystem sustainability.
Language: Английский
Citations
290The ISME Journal, Journal Year: 2020, Volume and Issue: 14(8), P. 1915 - 1928
Published: April 27, 2020
Rhizobia-legume symbiosis is an important type of plant-microbe mutualism; however, the establishment this association complicated and can be affected by many factors. The soybean rhizosphere has a specific microbial community, yet whether these organisms affect rhizobial nodulation not been well investigated. Here, we analyzed compositions relationships rhizocompartment microbiota in three types soil. First, found that community composition varied significantly different soils, network between rhizobia other bacteria was examined. Second, some microbes were correlated with bradyrhizobia sinorhizobia nodules. We cultivated 278 candidate Bacillus isolates from alkaline Finally, interaction assays showed cereus group specifically promotes suppresses growth bradyrhizobia, respectively, alleviates effects saline-alkali conditions on as affecting its colonization Our findings demonstrate crucial role bacterial shaping rhizobia-host interactions soybean, provide framework for improving symbiotic efficiency system mutualism through use synthetic communities.
Language: Английский
Citations
223Computational and Structural Biotechnology Journal, Journal Year: 2021, Volume and Issue: 19, P. 2687 - 2698
Published: Jan. 1, 2021
Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities in complex contiguous environments. They engage numerous inter- intra- kingdom interactions which can be inferred from microbiome profiling data. In particular, network-based approaches have proven helpful deciphering microbial interaction patterns. Here we give an overview of state-of-the-art methods to infer intra-kingdom ranging simple correlation- conditional dependence-based methods. We highlight common biases encountered profiles discuss mitigation strategies employed by different tools their trade-off with increased computational complexity. Finally, current limitations that motivate further method development inter-kingdom robustly comprehensively characterize environments the future.
Language: Английский
Citations
219The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 717, P. 137064 - 137064
Published: Feb. 1, 2020
Language: Английский
Citations
189Soil Biology and Biochemistry, Journal Year: 2018, Volume and Issue: 125, P. 54 - 63
Published: July 6, 2018
Language: Английский
Citations
175Environmental Microbiology, Journal Year: 2019, Volume and Issue: 22(3), P. 832 - 849
Published: Aug. 30, 2019
Summary Despite the essential functions of sedimentary bacterial and fungal communities in biogeochemical cycling, little is known about their biogeographic patterns driving processes large rivers. Here we investigated assemblies co‐occurrence Jinsha River, one largest rivers southwestern China. The mainstream river was divided into upstream, midstream downstream. results showed that both differed significantly among three sections. For communities, composition variations all sites or each section were controlled by combination dispersal limitation environmental selection, dominant factor. Compared with bacteria, fungi had stronger limitation. Co‐occurrence network analyses revealed higher connectivity but a lower proportion positive interaction than at sites. In particular, keystone species belonging to phyla Proteobacteria Firmicutes Ascomycota Chytridiomycota may play critical roles maintaining community function. Together, these observations indicate have influence less implying different assembly mechanisms ecological between bacteria
Language: Английский
Citations
166Journal of Advanced Research, Journal Year: 2019, Volume and Issue: 19, P. 67 - 73
Published: March 19, 2019
The rhizosphere is the region close to a plant's roots, where various interactions occur. Recent evidence indicates that plants influence microbial communities by secreting metabolites and, in turn, microbes growth and health of plants. Despite importance plant-derived rhizosphere, relatively little known about their spatiotemporal distribution dynamics. In addition being an important crop, soybean (Glycine max) good model plant with which study these interactions, because have symbiotic relationships rhizobia arbuscular mycorrhizal fungi secrete specialized metabolites, such as isoflavones saponins, into soil. This review summarizes characteristics from viewpoint discusses future research perspectives. sum, secretion developmentally nutritionally regulated potentially alters communities.
Language: Английский
Citations
162Microbiological Research, Journal Year: 2020, Volume and Issue: 239, P. 126569 - 126569
Published: July 31, 2020
Language: Английский
Citations
141