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Mishra S, Zhang X, Yang X. Plant communication with rhizosphere microbes can be revealed by understanding microbial functional gene composition. Microbiol Res 2024; 284:127726. [PMID: 38643524 DOI: 10.1016/j.micres.2024.127726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/26/2024] [Accepted: 04/12/2024] [Indexed: 04/23/2024]
Abstract
Understanding rhizosphere microbial ecology is necessary to reveal the interplay between plants and associated microbial communities. The significance of rhizosphere-microbial interactions in plant growth promotion, mediated by several key processes such as auxin synthesis, enhanced nutrient uptake, stress alleviation, disease resistance, etc., is unquestionable and well reported in numerous literature. Moreover, rhizosphere research has witnessed tremendous progress due to the integration of the metagenomics approach and further shift in our viewpoint from taxonomic to functional diversity over the past decades. The microbial functional genes corresponding to the beneficial functions provide a solid foundation for the successful establishment of positive plant-microbe interactions. The microbial functional gene composition in the rhizosphere can be regulated by several factors, e.g., the nutritional requirements of plants, soil chemistry, soil nutrient status, pathogen attack, abiotic stresses, etc. Knowing the pattern of functional gene composition in the rhizosphere can shed light on the dynamics of rhizosphere microbial ecology and the strength of cooperation between plants and associated microbes. This knowledge is crucial to realizing how microbial functions respond to unprecedented challenges which are obvious in the Anthropocene. Unraveling how microbes-mediated beneficial functions will change under the influence of several challenges, requires knowledge of the pattern and composition of functional genes corresponding to beneficial functions such as biogeochemical functions (nutrient cycle), plant growth promotion, stress mitigation, etc. Here, we focus on the molecular traits of plant growth-promoting functions delivered by a set of microbial functional genes that can be useful to the emerging field of rhizosphere functional ecology.
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Affiliation(s)
- Sandhya Mishra
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan 666303, China.
| | - Xianxian Zhang
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan 666303, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaodong Yang
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan 666303, China.
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Ogonkov A, Brosius PE, Zeng Q, Sasso S, Nagel R. Not All Acidovorax Are Created Equal: Gibberellin Biosynthesis in the Turfgrass Pathogen Acidovorax avenae subsp. avenae. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2023; 36:647-655. [PMID: 37227226 DOI: 10.1094/mpmi-02-23-0017-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
In recent years Acidovorax avenae subsp. avenae was identified as a major cause of bacterial etiolation and decline (BED) in turfgrasses and has become a growing economical concern for the turfgrass industry. The symptoms of BED resemble those of "bakanae," or foolish seedling disease, of rice (Oryzae sativa), in which the gibberellins produced by the infecting fungus, Fusarium fujikuroi, contribute to the symptom development. Additionally, an operon coding for the enzymes necessary for bacterial gibberellin production was recently characterized in plant-pathogenic bacteria belonging to the γ-proteobacteria. We therefore investigated whether this gibberellin operon might be present in A. avenae subsp. avenae. A homolog of the operon has been identified in two turfgrass-infecting A. avenae subsp. avenae phylogenetic groups but not in closely related phylogenetic groups or strains infecting other plants. Moreover, even within these two phylogenetic groups, the operon presence is not uniform. For that reason, the functionality of the operon was examined in one strain of each turfgrass-infecting phylogenetic group (A. avenae subsp. avenae strains KL3 and MD5). All nine operon genes were functionally characterized through heterologous expression in Escherichia coli and enzymatic activities were analyzed by liquid chromatography-tandem mass spectrometry and gas chromatography-mass spectrometry. All enzymes were functional in both investigated strains, thus demonstrating the ability of phytopathogenic β-proteobacteria to produce biologically active GA4. This additional gibberellin produced by A. avenae subsp. avenae could disrupt phytohormonal balance and be a leading factor contributing to the pathogenicity on turf grasses. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- Andrei Ogonkov
- Department of Plant Physiology, Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Paula Emily Brosius
- Department of Plant Physiology, Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Quan Zeng
- Department of Plant Pathology and Ecology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, U.S.A
| | - Severin Sasso
- Department of Plant Physiology, Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Raimund Nagel
- Department of Plant Physiology, Institute of Biology, Leipzig University, 04103 Leipzig, Germany
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Orozco-Mosqueda MDC, Santoyo G, Glick BR. Recent Advances in the Bacterial Phytohormone Modulation of Plant Growth. PLANTS (BASEL, SWITZERLAND) 2023; 12:606. [PMID: 36771689 PMCID: PMC9921776 DOI: 10.3390/plants12030606] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Phytohormones are regulators of plant growth and development, which under different types of stress can play a fundamental role in a plant's adaptation and survival. Some of these phytohormones such as cytokinin, gibberellin, salicylic acid, auxin, and ethylene are also produced by plant growth-promoting bacteria (PGPB). In addition, numerous volatile organic compounds are released by PGPB and, like bacterial phytohormones, modulate plant physiology and genetics. In the present work we review the basic functions of these bacterial phytohormones during their interaction with different plant species. Moreover, we discuss the most recent advances of the beneficial effects on plant growth of the phytohormones produced by PGPB. Finally, we review some aspects of the cross-link between phytohormone production and other plant growth promotion (PGP) mechanisms. This work highlights the most recent advances in the essential functions performed by bacterial phytohormones and their potential application in agricultural production.
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Affiliation(s)
- Ma. del Carmen Orozco-Mosqueda
- Departamento de Ingeniería Bioquímica y Ambiental, Tecnológico Nacional de México/I.T. Celaya, Celaya 38110, Guanajuato, Mexico
| | - Gustavo Santoyo
- Genomic Diversity Laboratory, Institute of Biological and Chemical Research, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Michoacan, Mexico
| | - Bernard R. Glick
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Nett RS, Bender KS, Peters RJ. Production of the plant hormone gibberellin by rhizobia increases host legume nodule size. THE ISME JOURNAL 2022; 16:1809-1817. [PMID: 35414717 PMCID: PMC9213532 DOI: 10.1038/s41396-022-01236-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 03/26/2022] [Accepted: 03/31/2022] [Indexed: 12/11/2022]
Abstract
Plant-associated microbes have evolved the ability to independently produce gibberellin (GA) phytohormones as a mechanism to influence their host. Indeed, GA was first discovered as a metabolite from the fungal rice pathogen Gibberella fujikuroi, which uses it as a virulence factor. Though some bacterial plant pathogens similarly use GA to promote infection, symbiotic nitrogen-fixing bacteria (rhizobia), which inhabit the root nodules of legumes, also can produce GA, suggesting a role in symbiosis. The bacterial GA biosynthetic operon has been identified, but in rhizobia this typically no longer encodes the final metabolic gene (cyp115), so that these symbionts can only produce the penultimate intermediate GA9. Here, we demonstrate that soybean (Glycine max) expresses functional GA 3-oxidases (GA3ox) within its nodules, which have the capability to convert GA9 produced by the enclosed rhizobial symbiont Bradyrhizobium diazoefficiens to bioactive GA4. This rhizobia-derived GA is demonstrated to cause an increase in nodule size and decrease in the number of nodules. The increase in individual nodule size correlates to greater numbers of bacterial progeny within a nodule, thereby providing a selective advantage to rhizobia that produce GA during the rhizobia-legume symbiosis. The expression of GA3ox in nodules and resultant nodulation effects of the GA product suggests that soybean has co-opted control of bioactive GA production, and thus nodule size, for its own benefit. Thus, our results suggest rhizobial GA biosynthesis has coevolved with host plant metabolism for cooperative production of a phytohormone that influences nodulation in a mutually beneficial manner.
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Affiliation(s)
- Ryan S Nett
- Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, 50011, USA
| | - Kelly S Bender
- Department of Microbiology, Southern Illinois University, Carbondale, IL, USA
| | - Reuben J Peters
- Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, Ames, IA, 50011, USA.
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Kaur J, Sharma J. Orchid Root Associated Bacteria: Linchpins or Accessories? FRONTIERS IN PLANT SCIENCE 2021; 12:661966. [PMID: 34249034 PMCID: PMC8264303 DOI: 10.3389/fpls.2021.661966] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/19/2021] [Indexed: 05/28/2023]
Abstract
Besides the plant-fungus symbiosis in arbuscular mycorrhizal (AM) and ectomycorrhizal (EM) plants, many endorhizal and rhizosphere bacteria (Root Associated Bacteria, or RAB) also enhance plant fitness, diversity, and coexistence among plants via bi- or tripartite interactions with plant hosts and mycorrhizal fungi. Assuming that bacterial associations are just as important for the obligate mycorrhizal plant family Orchidaceae, surprisingly little is known about the RAB associated with orchids. Herein, we first present the current, underwhelming state of RAB research including their interactions with fungi and the influence of holobionts on plant fitness. We then delineate the need for novel investigations specifically in orchid RAB ecology, and sketch out questions and hypotheses which, when addressed, will advance plant-microbial ecology. We specifically discuss the potential effects of beneficial RAB on orchids as: (1) Plant Growth Promoting Rhizobacteria (PGPR), (2) Mycorrhization Helper Bacteria (MHB), and (3) constituents of an orchid holobiont. We further posit that a hologenomic view should be considered as a framework for addressing co-evolution of the plant host, their obligate Orchid Mycorrhizal Fungi (OMF), and orchid RAB. We conclude by discussing implications of the suggested research for conservation of orchids, their microbial partners, and their collective habitats.
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Affiliation(s)
- Jaspreet Kaur
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, United States
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Nguyen HN, Markin A, Friedberg I, Eulenstein O. Finding orthologous gene blocks in bacteria: the computational hardness of the problem and novel methods to address it. Bioinformatics 2021; 36:i668-i674. [PMID: 33381825 PMCID: PMC7773486 DOI: 10.1093/bioinformatics/btaa794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 11/25/2022] Open
Abstract
Motivation The evolution of complexity is one of the most fascinating and challenging problems in modern biology, and tracing the evolution of complex traits is an open problem. In bacteria, operons and gene blocks provide a model of tractable evolutionary complexity at the genomic level. Gene blocks are structures of co-located genes with related functions, and operons are gene blocks whose genes are co-transcribed on a single mRNA molecule. The genes in operons and gene blocks typically work together in the same system or molecular complex. Previously, we proposed a method that explains the evolution of orthologous gene blocks (orthoblocks) as a combination of a small set of events that take place in vertical evolution from common ancestors. A heuristic method was proposed to solve this problem. However, no study was done to identify the complexity of the problem. Results Here, we establish that finding the homologous gene block problem is NP-hard and APX-hard. We have developed a greedy algorithm that runs in polynomial time and guarantees an O(lnn) approximation. In addition, we formalize our problem as an integer linear program problem and solve it using the PuLP package and the standard CPLEX algorithm. Our exploration of several candidate operons reveals that our new method provides more optimal results than the results from the heuristic approach, and is significantly faster. Availability and implementation The software and data accompanying this paper are available under the GPLv3 and CC0 license respectively on: https://github.com/nguyenngochuy91/Relevant-Operon.
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Affiliation(s)
- Huy N Nguyen
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA 50011, USA.,Department of Computer Science, Iowa State University, Ames, IA 50011, USA
| | - Alexey Markin
- Department of Computer Science, Iowa State University, Ames, IA 50011, USA
| | - Iddo Friedberg
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA 50011, USA.,Interdepartmental Program in Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50011, USA
| | - Oliver Eulenstein
- Department of Computer Science, Iowa State University, Ames, IA 50011, USA.,Interdepartmental Program in Bioinformatics and Computational Biology, Iowa State University, Ames, IA 50011, USA
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