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Huang F, Ling J, Li G, Song X, Liu R. Disease Occurrence and Climatic Factors Jointly Structure Pomelo Leaf Fungal Succession in Disturbed Agricultural Ecosystem. Microorganisms 2024; 12:1157. [PMID: 38930539 PMCID: PMC11205469 DOI: 10.3390/microorganisms12061157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024] Open
Abstract
For perennial plants, newly emerged organs are fresh hot spots for environmental microbes to occupy and assemble to form mature microbial communities. In the microbial community, some commensal fungi can play important roles in microbial succession, thus significantly improving host plant growth and disease resistance. However, their participating patterns in microbial assembly and succession remain largely unknown. In this study, we profiled the fungal community and found a similar fungal succession pattern of spring-emerged leaves from March to October in two pomelo orchards. Specifically, the fungal species, tracked on the old leaves, dominated the spring leaves after emergence and then decreased in relative abundance. This reduction in priority effects on the spring leaves was then followed by an increase in the number of observed species, Shannon and phylogenetic diversity indices, and the pathogen-associated fungal groups. In addition, we found that the temporal fungal succession on the spring leaves highly correlated with the disease occurrence in the orchards and with the temperature and precipitation variation from spring to summer. Of the pathogen-associated fungal groups, an increase in the relative abundance of Mycosphaerellaceae, hosting the causal agent of citrus greasy spot, correlated with the occurrence of the disease, while the relative abundance of Diaporthaceae, hosting the causal agent of melanose, was extremely low during the fungal succession. These results confirm that the two kinds of pathogen-associated fungal groups share different lifestyles on citrus, and also suggest that the study of temporal fungal succession in microbial communities can add to our understanding of the epidemiology of potential plant pathogens.
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Affiliation(s)
- Feng Huang
- Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Guangzhou 510640, China; (F.H.)
| | - Jinfeng Ling
- Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Guangzhou 510640, China; (F.H.)
| | - Guohua Li
- Institute of Fruit Tree Research, Meizhou Academy of Agricultural and Forestry Sciences, Meizhou 514071, China
| | - Xiaobing Song
- Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Guangzhou 510640, China; (F.H.)
| | - Rui Liu
- Institute of Fruit Tree Research, Meizhou Academy of Agricultural and Forestry Sciences, Meizhou 514071, China
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2
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Chauveau C, Roby D. Molecular complexity of quantitative immunity in plants: from QTL mapping to functional and systems biology. C R Biol 2024; 347:35-44. [PMID: 38771313 DOI: 10.5802/crbiol.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 05/22/2024]
Abstract
In nature, plants defend themselves against pathogen attack by activating an arsenal of defense mechanisms. During the last decades, work mainly focused on the understanding of qualitative disease resistance mediated by a few genes conferring an almost complete resistance, while quantitative disease resistance (QDR) remains poorly understood despite the fact that it represents the predominant and more durable form of resistance in natural populations and crops. Here, we review our past and present work on the dissection of the complex mechanisms underlying QDR in Arabidopsis thaliana. The strategies, main steps and challenges of our studies related to one atypical QDR gene, RKS1 (Resistance related KinaSe 1), are presented. First, from genetic analyses by QTL (Quantitative Trait Locus) mapping and GWAs (Genome Wide Association studies), the identification, cloning and functional analysis of this gene have been used as a starting point for the exploration of the multiple and coordinated pathways acting together to mount the QDR response dependent on RKS1. Identification of RKS1 protein interactors and complexes was a first step, systems biology and reconstruction of protein networks were then used to decipher the molecular roadmap to the immune responses controlled by RKS1. Finally, exploration of the potential impact of key components of the RKS1-dependent gene network on leaf microbiota offers interesting and challenging perspectives to decipher how the plant immune systems interact with the microbial communities' systems.
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3
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Durán P. The core microbiota across the green lineage. CURRENT OPINION IN PLANT BIOLOGY 2024; 77:102487. [PMID: 38056067 DOI: 10.1016/j.pbi.2023.102487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/30/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023]
Abstract
The study of plant-microbe interactions and the characterization of plant-associated microbiota has been the focus of plant researchers in the last decades due to its importance for plant health in natural conditions. Here, I explore the persistent core microbiota associated with different plant species and across different environments by performing a meta-analysis of publicly available datasets. Intra-specific analyses revealed that diverse plant genotypes growing in similar habitats interact with a common set of microbial groups but that some of these core groups are species- or environment-specific. Furthermore, interspecific meta-analysis demonstrates the conservation of seven bacterial orders across diverse photosynthetic organisms, including microalgae, suggesting a conserved capacity for interaction with these core microbes throughout evolutionary history. However, the specific functions of these core members and whether these functions are conserved across hosts remain largely unexplored. I therefore discuss the importance of understanding the roles of the core microbiota and propose future research directions, including the exploration of microbial interactions across different kingdoms. By investigating the core microbiota and its functions, it will be possible to leverage this knowledge for sustainable agricultural management and conservation goals.
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Affiliation(s)
- Paloma Durán
- Laboratoire des Interactions Plantes-Microbes-Environnement, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, CNRS, Université de Toulouse, Castanet-Tolosan, France.
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4
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Ramírez-Sánchez D, Gibelin-Viala C, Roux F, Vailleau F. Genetic architecture of the response of Arabidopsis thaliana to a native plant-growth-promoting bacterial strain. FRONTIERS IN PLANT SCIENCE 2023; 14:1266032. [PMID: 38023938 PMCID: PMC10665851 DOI: 10.3389/fpls.2023.1266032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023]
Abstract
By improving plant nutrition and alleviating abiotic and biotic stresses, plant growth-promoting bacteria (PGPB) can help to develop eco-friendly and sustainable agricultural practices. Besides climatic conditions, soil conditions, and microbe-microbe interactions, the host genotype influences the effectiveness of PGPB. Yet, most GWAS conducted to characterize the genetic architecture of response to PGPB are based on non-native interactions between a host plant and PGPB strains isolated from the belowground compartment of other plants. In this study, a GWAS was set up under in vitro conditions to describe the genetic architecture of the response of Arabidopsis thaliana to the PGPB Pseudomonas siliginis, by inoculating seeds of 162 natural accessions from the southwest of France with one strain isolated from the leaf compartment in the same geographical region. Strong genetic variation of plant growth response to this native PGPB was observed at a regional scale, with the strain having a positive effect on the vegetative growth of small plants and a negative effect on the vegetative growth of large plants. The polygenic genetic architecture underlying this negative trade-off showed suggestive signatures of local adaptation. The main eco-evolutionary relevant candidate genes are involved in seed and root development.
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5
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Schultz CR, Johnson M, Wallace JG. Effects of Inbreeding on Microbial Community Diversity of Zea mays. Microorganisms 2023; 11:microorganisms11040879. [PMID: 37110300 PMCID: PMC10145435 DOI: 10.3390/microorganisms11040879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/14/2023] [Accepted: 03/28/2023] [Indexed: 03/31/2023] Open
Abstract
Heterosis, also known as hybrid vigor, is the basis of modern maize production. The effect of heterosis on maize phenotypes has been studied for decades, but its effect on the maize-associated microbiome is much less characterized. To determine the effect of heterosis on the maize microbiome, we sequenced and compared the bacterial communities of inbred, open pollinated, and hybrid maize. Samples covered three tissue types (stalk, root, and rhizosphere) in two field experiments and one greenhouse experiment. Bacterial diversity was more affected by location and tissue type than genetic background for both within-sample (alpha) and between-sample (beta) diversity. PERMANOVA analysis similarly showed that tissue type and location had significant effects on the overall community structure, whereas the intraspecies genetic background and individual plant genotypes did not. Differential abundance analysis identified only 25 bacterial ASVs that significantly differed between inbred and hybrid maize. Predicted metagenome content was inferred with Picrust2, and it also showed a significantly larger effect of tissue and location than genetic background. Overall, these results indicate that the bacterial communities of inbred and hybrid maize are often more similar than they are different and that non-genetic effects are generally the largest influences on the maize microbiome.
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Becker C, Berthomé R, Delavault P, Flutre T, Fréville H, Gibot-Leclerc S, Le Corre V, Morel JB, Moutier N, Muños S, Richard-Molard C, Westwood J, Courty PE, de Saint Germain A, Louarn G, Roux F. The ecologically relevant genetics of plant-plant interactions. TRENDS IN PLANT SCIENCE 2023; 28:31-42. [PMID: 36114125 DOI: 10.1016/j.tplants.2022.08.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 08/03/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
Interactions among plants have been long recognized as a major force driving plant community dynamics and crop yield. Surprisingly, our knowledge of the ecological genetics associated with variation of plant-plant interactions remains limited. In this opinion article by scientists from complementary disciplines, the international PLANTCOM network identified four timely questions to foster a better understanding of the mechanisms mediating plant assemblages. We propose that by identifying the key relationships among phenotypic traits involved in plant-plant interactions and the underlying adaptive genetic and molecular pathways, while considering environmental fluctuations at diverse spatial and time scales, we can improve predictions of genotype-by-genotype-by-environment interactions and modeling of productive and stable plant assemblages in wild habitats and crop fields.
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Affiliation(s)
- Claude Becker
- Genetics, Faculty of Biology, Ludwig Maximilians-University, 82152 Martinsried, Germany
| | - Richard Berthomé
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | | | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, 91190 Gif-sur-Yvette, France
| | - Hélène Fréville
- AGAP, Université Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Stéphanie Gibot-Leclerc
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Valérie Le Corre
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Jean-Benoit Morel
- PHIM Plant Health Institute, Université Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Nathalie Moutier
- Institute for Genetics, Environment and Plant Protection (IGEPP), INRAE, Institut Agro, Université Rennes 1, 35650 Le Rheu, France
| | - Stéphane Muños
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Céline Richard-Molard
- Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, 78850 Thiverval-Grignon, France
| | - James Westwood
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
| | - Pierre-Emmanuel Courty
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Alexandre de Saint Germain
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), 78000 Versailles, France
| | | | - Fabrice Roux
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.
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McGale E, Sanders IR. Integrating plant and fungal quantitative genetics to improve the ecological and agricultural applications of mycorrhizal symbioses. Curr Opin Microbiol 2022; 70:102205. [PMID: 36201974 DOI: 10.1016/j.mib.2022.102205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 01/25/2023]
Abstract
Finding and targeting genes that quantitatively contribute to agricultural and ecological processes progresses food production and conservation efforts. Typically, quantitative genetic approaches link variants in a single organism's genome with a trait of interest. Recently, genome-to-genome mapping has found genome variants interacting between species to produce the result of a multiorganism (including multikingdom) interaction. These were plant and bacterial pathogen genome interactions; plant-fungal coquantitative genetics have not yet been applied. Plant-mycorrhizae symbioses exist across most biomes, for a majority of land plants, including crop plants, and manipulate many traits from single organisms to ecosystems for which knowing the genetic basis would be useful. The availability of Rhizophagus irregularis mycorrhizal isolates, with genomic information, makes dual-genome methods with beneficial mutualists accessible and imminent.
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Affiliation(s)
- Erica McGale
- Department of Ecology and Evolution, Biophore Building, University of Lausanne, 1015 Lausanne, Switzerland
| | - Ian R Sanders
- Department of Ecology and Evolution, Biophore Building, University of Lausanne, 1015 Lausanne, Switzerland.
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8
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Raaijmakers JM, Kiers ET. Rewilding plant microbiomes. Science 2022; 378:599-600. [DOI: 10.1126/science.abn6350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Microbiota of crop ancestors may offer a way to enhance sustainable food production
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Affiliation(s)
- Jos M. Raaijmakers
- Netherlands Institute of Ecology, Wageningen, Netherlands
- Institute of Biology, Leiden University, Leiden, Netherlands
| | - E. Toby Kiers
- Amsterdam Institute for Life and Environment, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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9
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A Genome-Wide Association study in Arabidopsis thaliana to decipher the adaptive genetics of quantitative disease resistance in a native heterogeneous environment. PLoS One 2022; 17:e0274561. [PMID: 36190949 PMCID: PMC9529085 DOI: 10.1371/journal.pone.0274561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022] Open
Abstract
Pathogens are often the main selective agents acting in plant communities, thereby influencing the distribution of polymorphism at loci affecting resistance within and among natural plant populations. In addition, the outcome of plant-pathogen interactions can be drastically affected by abiotic and biotic factors at different spatial and temporal grains. The characterization of the adaptive genetic architecture of disease resistance in native heterogeneous environments is however still missing. In this study, we conducted an in situ Genome-Wide Association study in the spatially heterogeneous native habitat of a highly genetically polymorphic local mapping population of Arabidopsis thaliana, to unravel the adaptive genetic architecture of quantitative disease resistance. Disease resistance largely differed among three native soils and was affected by the presence of the grass Poa annua. The observation of strong crossing reactions norms among the 195 A. thaliana genotypes for disease resistance among micro-habitats, combined with a negative fecundity-disease resistance relationship in each micro-habitat, suggest that alternative local genotypes of A. thaliana are favored under contrasting environmental conditions at the scale of few meters. A complex genetic architecture was detected for disease resistance and fecundity. However, only few QTLs were common between these two traits. Heterogeneous selection in this local population should therefore promote the maintenance of polymorphism at only few candidate resistance genes.
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10
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Ramírez-Sánchez D, Gibelin-Viala C, Mayjonade B, Duflos R, Belmonte E, Pailler V, Bartoli C, Carrere S, Vailleau F, Roux F. Investigating genetic diversity within the most abundant and prevalent non-pathogenic leaf-associated bacteria interacting with Arabidopsis thaliana in natural habitats. Front Microbiol 2022; 13:984832. [PMID: 36212843 PMCID: PMC9537739 DOI: 10.3389/fmicb.2022.984832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/31/2022] [Indexed: 12/02/2022] Open
Abstract
Microbiota modulates plant health and appears as a promising lever to develop innovative, sustainable and eco-friendly agro-ecosystems. Key patterns of microbiota assemblages in plants have been revealed by an extensive number of studies based on taxonomic profiling by metabarcoding. However, understanding the functionality of microbiota is still in its infancy and relies on reductionist approaches primarily based on the establishment of representative microbial collections. In Arabidopsis thaliana, most of these microbial collections include one strain per OTU isolated from a limited number of habitats, thereby neglecting the ecological potential of genetic diversity within microbial species. With this study, we aimed at estimating the extent of genetic variation between strains within the most abundant and prevalent leaf-associated non-pathogenic bacterial species in A. thaliana located south-west of France. By combining a culture-based collection approach consisting of the isolation of more than 7,000 bacterial colonies with an informative-driven approach, we isolated 35 pure strains from eight non-pathogenic bacterial species. We detected significant intra-specific genetic variation at the genomic level and for growth rate in synthetic media. In addition, significant host genetic variation was detected in response to most bacterial strains in in vitro conditions, albeit dependent on the developmental stage at which plants were inoculated, with the presence of both negative and positive responses on plant growth. Our study provides new genetic and genomic resources for a better understanding of the plant-microbe ecological interactions at the microbiota level. We also highlight the need of considering genetic variation in both non-pathogenic bacterial species and A. thaliana to decipher the genetic and molecular mechanisms involved in the ecologically relevant dialog between hosts and leaf microbiota.
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Affiliation(s)
| | | | | | - Rémi Duflos
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Elodie Belmonte
- Gentyane, UMR 1095 GDEC, INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Vincent Pailler
- Gentyane, UMR 1095 GDEC, INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Claudia Bartoli
- Institute for Genetics, Environment and Plant Protection (IGEPP), INRAE, Institut Agro AgroCampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Sébastien Carrere
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Fabienne Vailleau
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Fabrice Roux
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
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11
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Host genotype controls ecological change in the leaf fungal microbiome. PLoS Biol 2022; 20:e3001681. [PMID: 35951523 PMCID: PMC9371330 DOI: 10.1371/journal.pbio.3001681] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/18/2022] [Indexed: 11/19/2022] Open
Abstract
Leaf fungal microbiomes can be fundamental drivers of host plant success, as they contain pathogens that devastate crop plants and taxa that enhance nutrient uptake, discourage herbivory, and antagonize pathogens. We measured leaf fungal diversity with amplicon sequencing across an entire growing season in a diversity panel of switchgrass (Panicum virgatum). We also sampled a replicated subset of genotypes across 3 additional sites to compare the importance of time, space, ecology, and genetics. We found a strong successional pattern in the microbiome shaped both by host genetics and environmental factors. Further, we used genome-wide association (GWA) mapping and RNA sequencing to show that 3 cysteine-rich receptor-like kinases (crRLKs) were linked to a genetic locus associated with microbiome structure. We confirmed GWAS results in an independent set of genotypes for both the internal transcribed spacer (ITS) and large subunit (LSU) ribosomal DNA markers. Fungal pathogens were central to microbial covariance networks, and genotypes susceptible to pathogens differed in their expression of the 3 crRLKs, suggesting that host immune genes are a principal means of controlling the entire leaf microbiome. Leaf fungal microbiomes can strongly influence host plant success. Monitoring the leaf fungal microbiome of switchgrass over time shows microbial ecological succession, and reveals the host plant genes that influence community-wide changes.
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12
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Oyserman BO, Flores SS, Griffioen T, Pan X, van der Wijk E, Pronk L, Lokhorst W, Nurfikari A, Paulson JN, Movassagh M, Stopnisek N, Kupczok A, Cordovez V, Carrión VJ, Ligterink W, Snoek BL, Medema MH, Raaijmakers JM. Disentangling the genetic basis of rhizosphere microbiome assembly in tomato. Nat Commun 2022; 13:3228. [PMID: 35710629 PMCID: PMC9203511 DOI: 10.1038/s41467-022-30849-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 05/19/2022] [Indexed: 12/31/2022] Open
Abstract
Microbiomes play a pivotal role in plant growth and health, but the genetic factors involved in microbiome assembly remain largely elusive. Here, we map the molecular features of the rhizosphere microbiome as quantitative traits of a diverse hybrid population of wild and domesticated tomato. Gene content analysis of prioritized tomato quantitative trait loci suggests a genetic basis for differential recruitment of various rhizobacterial lineages, including a Streptomyces-associated 6.31 Mbp region harboring tomato domestication sweeps and encoding, among others, the iron regulator FIT and the water channel aquaporin SlTIP2.3. Within metagenome-assembled genomes of root-associated Streptomyces and Cellvibrio, we identify bacterial genes involved in metabolism of plant polysaccharides, iron, sulfur, trehalose, and vitamins, whose genetic variation associates with specific tomato QTLs. By integrating 'microbiomics' and quantitative plant genetics, we pinpoint putative plant and reciprocal rhizobacterial traits underlying microbiome assembly, thereby providing a first step towards plant-microbiome breeding programs.
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Affiliation(s)
- Ben O Oyserman
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
| | - Stalin Sarango Flores
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Thom Griffioen
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Xinya Pan
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Elmar van der Wijk
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Lotte Pronk
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Wouter Lokhorst
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Azkia Nurfikari
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Joseph N Paulson
- Department of Data Sciences, Genentech, Inc. South San Francisco, South San Francisco, CA, USA
| | - Mercedeh Movassagh
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Data Sciences Dana Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nejc Stopnisek
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Anne Kupczok
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Viviane Cordovez
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Víctor J Carrión
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Wilco Ligterink
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, The Netherlands
| | - Basten L Snoek
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, The Netherlands
| | - Marnix H Medema
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Jos M Raaijmakers
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
- Institute of Biology, Leiden University, Leiden, The Netherlands.
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13
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Wood G, Steinberg PD, Campbell AH, Vergés A, Coleman MA, Marzinelli EM. Host genetics, phenotype and geography structure the microbiome of a foundational seaweed. Mol Ecol 2022; 31:2189-2206. [PMID: 35104026 PMCID: PMC9540321 DOI: 10.1111/mec.16378] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/18/2022] [Indexed: 12/01/2022]
Abstract
Interactions between hosts and their microbiota are vital to the functioning and resilience of macro-organisms. Critically, for hosts that play foundational roles in communities, understanding what drives host-microbiota interactions is essential for informing ecosystem restoration and conservation. We investigated the relative influence of host traits and the surrounding environment on microbial communities associated with the foundational seaweed Phyllospora comosa. We quantified 16 morphological and functional phenotypic traits, including host genetics (using 354 single nucleotide polymorphisms) and surface-associated microbial communities (using 16S rRNA gene amplicon sequencing) from 160 individuals sampled from eight sites spanning Phyllospora's entire latitudinal distribution (1,300 km). Combined, these factors explained 54% of the overall variation in Phyllospora's associated microbial community structure, much of which was related to the local environment (~32%). We found that putative "core" microbial taxa (i.e., present on all Phyllospora individuals sampled) exhibited slightly higher associations with host traits when compared to "variable" taxa (not present on all individuals). We identified several key genetic loci and phenotypic traits in Phyllospora that were strongly related to multiple microbial amplicon sequence variants, including taxa with known associations to seaweed defence, disease and tissue degradation. This information on how host-associated microbial communities vary with host traits and the environment enhances our current understanding of how "holobionts" (hosts plus their microbiota) are structured. Such understanding can be used to inform management strategies of these important and vulnerable habitats.
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Affiliation(s)
- Georgina Wood
- School of Life and Environmental SciencesThe University of SydneySydneyNew South WalesAustralia
- Centre for Marine Science and InnovationSchool of Biological, Earth and Environmental SciencesUNSW SydneySydneyNew South WalesAustralia
| | - Peter D. Steinberg
- Centre for Marine Science and InnovationSchool of Biological, Earth and Environmental SciencesUNSW SydneySydneyNew South WalesAustralia
- Sydney Institute of Marine ScienceSydneyNew South WalesAustralia
- Singapore Centre for Environmental Life Sciences EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Alexandra H. Campbell
- USC Seaweed Research GroupUniversity of the Sunshine CoastSunshine CoastQueenslandAustralia
| | - Adriana Vergés
- Centre for Marine Science and InnovationSchool of Biological, Earth and Environmental SciencesUNSW SydneySydneyNew South WalesAustralia
| | - Melinda A. Coleman
- Department of Primary IndustriesNational Marine Science CentreCoffs HarbourNew South WalesAustralia
| | - Ezequiel M. Marzinelli
- School of Life and Environmental SciencesThe University of SydneySydneyNew South WalesAustralia
- Sydney Institute of Marine ScienceSydneyNew South WalesAustralia
- Singapore Centre for Environmental Life Sciences EngineeringNanyang Technological UniversitySingaporeSingapore
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Zancarini A, Westerhuis JA, Smilde AK, Bouwmeester HJ. Integration of omics data to unravel root microbiome recruitment. Curr Opin Biotechnol 2021; 70:255-261. [PMID: 34242993 DOI: 10.1016/j.copbio.2021.06.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 06/14/2021] [Accepted: 06/17/2021] [Indexed: 12/13/2022]
Abstract
The plant microbiome plays an essential role in supporting plant growth and health, but plant molecular mechanisms underlying its recruitment are still unclear. Multi-omics data integration methods can be used to unravel new signalling relationships. Here, we review the effects of plant genetics and root exudates on root microbiome recruitment, and discuss methodological advances in data integration approaches that can help us to better understand and optimise the crop-microbiome interaction for a more sustainable agriculture.
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Affiliation(s)
- Anouk Zancarini
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands; Biosystems Data Analysis Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands.
| | - Johan A Westerhuis
- Biosystems Data Analysis Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
| | - Age K Smilde
- Biosystems Data Analysis Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
| | - Harro J Bouwmeester
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
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