2023
DOI: 10.3390/ijms24065701
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Rhizosphere Fungal Dynamics in Sugarcane during Different Growth Stages

Abstract: Understanding the normal variation of the sugarcane rhizosphere fungal community throughout its life cycle is essential for the development of agricultural practices for fungal and ecological health associated with the microbiota. Therefore, we performed high-throughput sequencing of 18S rDNA of soil samples using the Illumina sequencing platform for correlation analysis of rhizosphere fungal community time series, covering information from 84 samples in four growth periods. The results revealed that the sugar… Show more

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Cited by 7 publications
(5 citation statements)
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References 61 publications
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“…For example, 'game theory' and the 'Lotka-Volterra model' can be expanded to describe microbial interactions related to pathogen colonization or extinction to predict disease emergence 166 . Statistical models can provide information on the direct and indirect impacts of environmental and biotic variables on disease incidence [167][168][169] , whereas dynamic network models allow incorporation of several aspects of disease epidemiology including molecular and cellular reactions, plant-vector-pathogen interactions, species interactions in the microbiome as well as international trade and social networks (reviewed elsewhere 170 ). Predictions of disease risks based on combinations of aerobiological models for inoculum transmission and crop-growth models offer a framework to quantify the impact of future climates on the risk of disease occurrence and spread 171,172 .…”
Section: Box 2 Modelling Future Disease Outbreaksmentioning
confidence: 99%
“…For example, 'game theory' and the 'Lotka-Volterra model' can be expanded to describe microbial interactions related to pathogen colonization or extinction to predict disease emergence 166 . Statistical models can provide information on the direct and indirect impacts of environmental and biotic variables on disease incidence [167][168][169] , whereas dynamic network models allow incorporation of several aspects of disease epidemiology including molecular and cellular reactions, plant-vector-pathogen interactions, species interactions in the microbiome as well as international trade and social networks (reviewed elsewhere 170 ). Predictions of disease risks based on combinations of aerobiological models for inoculum transmission and crop-growth models offer a framework to quantify the impact of future climates on the risk of disease occurrence and spread 171,172 .…”
Section: Box 2 Modelling Future Disease Outbreaksmentioning
confidence: 99%
“…Most of these studies have used next-generation sequencing of microbial marker genes like 16S rRNA for bacteria and the nuclear ribosomal internal transcribed spacer (ITS) region for fungi, while others have used shotgun metagenomics sequencing, where all DNA present in an environmental sample is sequenced. Currently, there are a large number of studies on rhizosphere fungal communities in agricultural crops such as Arabidopsis, Arabis alpina , poplar, and sugarcane, and it has been shown that the phyla Ascomycota, Basidiomycota, and less Zygomycota, and Glomeromycota dominate the root mycobiota (de Souza et al 2016; Bergelson et al 209; Liu et al 2023). The high representation of selected fungal phyla in the rhizosphere of different plants suggests that members of these phyla are competitive and adaptable colonizers in various soil types and locations (Boddy and Hiscox 2016; Mueller et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Most of these studies have used next-generation sequencing of microbial marker genes like 16S rRNA for bacteria and the nuclear ribosomal internal transcribed spacer (ITS) region for fungi, while others have used shotgun metagenomics sequencing, where all DNA present in an environmental sample is sequenced. Currently, there are a large number of studies on rhizosphere fungal communities in agricultural crops such as Arabidopsis, Arabis alpina, poplar, and sugarcane, and it has been shown that the phyla Ascomycota, Basidiomycota, and less Zygomycota, and Glomeromycota dominate the root mycobiota (de Souza et al 2016;Bergelson et al 209;Liu et al 2023). The high representation of selected fungal phyla in the rhizosphere of different plants suggests that members of these phyla are competitive and adaptable colonizers in various soil types and locations (Boddy and Hiscox 2016;Mueller et al 2020).…”
Section: Discussionmentioning
confidence: 99%