Cargando…

Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain

Root (rhizome) rot of Polygonatum plants has received substantial attention because it threatens yield and sustainable utilization in the polygonati rhizome industry. However, the potential pathogens that cause rhizome rot as well as the direct and indirect (via root-associated microbes) strategies...

Descripción completa

Detalles Bibliográficos
Autores principales: Pang, Zhiqiang, Mao, Xinyu, Xia, Yong, Xiao, Jinxian, Wang, Xiaoning, Xu, Peng, Liu, Guizhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045327/
https://www.ncbi.nlm.nih.gov/pubmed/35225655
http://dx.doi.org/10.1128/spectrum.02385-21
_version_ 1784695291884077056
author Pang, Zhiqiang
Mao, Xinyu
Xia, Yong
Xiao, Jinxian
Wang, Xiaoning
Xu, Peng
Liu, Guizhou
author_facet Pang, Zhiqiang
Mao, Xinyu
Xia, Yong
Xiao, Jinxian
Wang, Xiaoning
Xu, Peng
Liu, Guizhou
author_sort Pang, Zhiqiang
collection PubMed
description Root (rhizome) rot of Polygonatum plants has received substantial attention because it threatens yield and sustainable utilization in the polygonati rhizome industry. However, the potential pathogens that cause rhizome rot as well as the direct and indirect (via root-associated microbes) strategies by which Polygonatum defends against pathogens remain largely unknown. Herein, we used integrated multiomics of plant-targeted metabolomics and transcriptomics, microbiome, and culture-based methods to systematically investigate the interactions between the Polygonatum cyrtonema Hua root-associated microbiota and pathogens. We found that root rot inhibited P. cyrtonema rhizome growth and that the fresh weight significantly decreased (P < 0.001). The transcriptomic and metabonomic results showed that the expression of differentially expressed genes (DEGs) related to specialized metabolic and systemic resistance pathways, such as glycolysis/gluconeogenesis and flavonoid biosynthesis, cycloartenol synthase activity (related to saponin synthesis), mitogen-activated protein kinase (MAPK) signaling, and plant hormone signal transduction, was particularly increased in diseased rhizomes. Consistently, the contents of lactose, d-fructose, sarsasapogenin, asperulosidic acid, botulin, myricadoil, and other saponins, which are functional medicinal compounds present in P. cyrtonema rhizomes, were also increased in diseased plants infected with rhizome rot. The microbiome sequencing and culture results showed that root rot disrupted the P. cyrtonema bacterial and fungal communities and reduced the microbial diversity in the rhizomes and rhizosphere soil. We further found that a clear enrichment of Streptomyces violascens XTBG45 (HJB-XTBG45) in the healthy rhizosphere could control the root rot caused by Fusarium oxysporum and Colletotrichum spaethianum. Taken together, our results indicate that P. cyrtonema can modulate the plant immune system and metabolic processes and enrich beneficial root microbiota to defend against pathogens. IMPORTANCE Root (rhizome or tuber) reproduction is the main method for the agricultural cultivation of many important cash crops, and infected crop plants rot, exhibit retarded growth, and experience yield losses. While many studies have investigated medicinal plants and their functional medicinal compounds, the occurrence of root (rhizome) rot of plant and soil microbiota has received little attention. Therefore, we used integrated multiomics and culture-based methods to systematically study rhizome rot on the famous Chinese medicine Polygonatum cyrtonema and identify pathogens and beneficial microbiota of rhizome rot. Rhizome rot disrupted the Polygonatum-associated microbiota and reduced microbial diversity, and rhizome transcription and metabolic processes significantly changed. Our work provides evidence that rhizome rot not only changes rhizome transcription and functional metabolite contents but also impacts the microbial community diversity, assembly, and function of the rhizome and rhizosphere. This study provides a new friendly strategy for medicinal plant breeding and agricultural utilization.
format Online
Article
Text
id pubmed-9045327
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-90453272022-04-28 Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain Pang, Zhiqiang Mao, Xinyu Xia, Yong Xiao, Jinxian Wang, Xiaoning Xu, Peng Liu, Guizhou Microbiol Spectr Research Article Root (rhizome) rot of Polygonatum plants has received substantial attention because it threatens yield and sustainable utilization in the polygonati rhizome industry. However, the potential pathogens that cause rhizome rot as well as the direct and indirect (via root-associated microbes) strategies by which Polygonatum defends against pathogens remain largely unknown. Herein, we used integrated multiomics of plant-targeted metabolomics and transcriptomics, microbiome, and culture-based methods to systematically investigate the interactions between the Polygonatum cyrtonema Hua root-associated microbiota and pathogens. We found that root rot inhibited P. cyrtonema rhizome growth and that the fresh weight significantly decreased (P < 0.001). The transcriptomic and metabonomic results showed that the expression of differentially expressed genes (DEGs) related to specialized metabolic and systemic resistance pathways, such as glycolysis/gluconeogenesis and flavonoid biosynthesis, cycloartenol synthase activity (related to saponin synthesis), mitogen-activated protein kinase (MAPK) signaling, and plant hormone signal transduction, was particularly increased in diseased rhizomes. Consistently, the contents of lactose, d-fructose, sarsasapogenin, asperulosidic acid, botulin, myricadoil, and other saponins, which are functional medicinal compounds present in P. cyrtonema rhizomes, were also increased in diseased plants infected with rhizome rot. The microbiome sequencing and culture results showed that root rot disrupted the P. cyrtonema bacterial and fungal communities and reduced the microbial diversity in the rhizomes and rhizosphere soil. We further found that a clear enrichment of Streptomyces violascens XTBG45 (HJB-XTBG45) in the healthy rhizosphere could control the root rot caused by Fusarium oxysporum and Colletotrichum spaethianum. Taken together, our results indicate that P. cyrtonema can modulate the plant immune system and metabolic processes and enrich beneficial root microbiota to defend against pathogens. IMPORTANCE Root (rhizome or tuber) reproduction is the main method for the agricultural cultivation of many important cash crops, and infected crop plants rot, exhibit retarded growth, and experience yield losses. While many studies have investigated medicinal plants and their functional medicinal compounds, the occurrence of root (rhizome) rot of plant and soil microbiota has received little attention. Therefore, we used integrated multiomics and culture-based methods to systematically study rhizome rot on the famous Chinese medicine Polygonatum cyrtonema and identify pathogens and beneficial microbiota of rhizome rot. Rhizome rot disrupted the Polygonatum-associated microbiota and reduced microbial diversity, and rhizome transcription and metabolic processes significantly changed. Our work provides evidence that rhizome rot not only changes rhizome transcription and functional metabolite contents but also impacts the microbial community diversity, assembly, and function of the rhizome and rhizosphere. This study provides a new friendly strategy for medicinal plant breeding and agricultural utilization. American Society for Microbiology 2022-02-28 /pmc/articles/PMC9045327/ /pubmed/35225655 http://dx.doi.org/10.1128/spectrum.02385-21 Text en Copyright © 2022 Pang et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Pang, Zhiqiang
Mao, Xinyu
Xia, Yong
Xiao, Jinxian
Wang, Xiaoning
Xu, Peng
Liu, Guizhou
Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title_full Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title_fullStr Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title_full_unstemmed Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title_short Multiomics Reveals the Effect of Root Rot on Polygonati Rhizome and Identifies Pathogens and Biocontrol Strain
title_sort multiomics reveals the effect of root rot on polygonati rhizome and identifies pathogens and biocontrol strain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045327/
https://www.ncbi.nlm.nih.gov/pubmed/35225655
http://dx.doi.org/10.1128/spectrum.02385-21
work_keys_str_mv AT pangzhiqiang multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT maoxinyu multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT xiayong multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT xiaojinxian multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT wangxiaoning multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT xupeng multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain
AT liuguizhou multiomicsrevealstheeffectofrootrotonpolygonatirhizomeandidentifiespathogensandbiocontrolstrain