1
|
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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [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. Genetics factors involved in rhizosphere microbiomes assembly remain largely elusive. Here, the authors integrate microbiomics and quantitative plant genetics to reveal genetic loci associated with specific microbes and rhizobacterial traits underlying microbiome assembly in tomato.
Collapse
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.
| |
Collapse
|
2
|
Oyserman BO, Cordovez V, Flores SS, Leite MFA, Nijveen H, Medema MH, Raaijmakers JM. Extracting the GEMs: Genotype, Environment, and Microbiome Interactions Shaping Host Phenotypes. Front Microbiol 2021; 11:574053. [PMID: 33584558 PMCID: PMC7874016 DOI: 10.3389/fmicb.2020.574053] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 12/14/2020] [Indexed: 12/14/2022] Open
Abstract
One of the fundamental tenets of biology is that the phenotype of an organism (Y) is determined by its genotype (G), the environment (E), and their interaction (GE). Quantitative phenotypes can then be modeled as Y = G + E + GE + e, where e is the biological variance. This simple and tractable model has long served as the basis for studies investigating the heritability of traits and decomposing the variability in fitness. The importance and contribution of microbe interactions to a given host phenotype is largely unclear, nor how this relates to the traditional GE model. Here we address this fundamental question and propose an expansion of the original model, referred to as GEM, which explicitly incorporates the contribution of the microbiome (M) to the host phenotype, while maintaining the simplicity and tractability of the original GE model. We show that by keeping host, environment, and microbiome as separate but interacting variables, the GEM model can capture the nuanced ecological interactions between these variables. Finally, we demonstrate with an in vitro experiment how the GEM model can be used to statistically disentangle the relative contributions of each component on specific host phenotypes.
Collapse
Affiliation(s)
- Ben O. Oyserman
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, Netherlands
- Bioinformatics Group, Wageningen University & Research, Wageningen, Netherlands
| | - Viviane Cordovez
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, Netherlands
- Institute of Biology, Leiden University, Leiden, Netherlands
| | | | - Marcio F. A. Leite
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, Netherlands
| | - Harm Nijveen
- Bioinformatics Group, Wageningen University & Research, Wageningen, Netherlands
| | - Marnix H. Medema
- Bioinformatics Group, Wageningen University & Research, Wageningen, Netherlands
| | - Jos M. Raaijmakers
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, Netherlands
- Institute of Biology, Leiden University, Leiden, Netherlands
| |
Collapse
|
3
|
German JC, Flores JH, Chiesura G, Ruiz EM, Flores SS, Laudanna AA. [Fatal strongyloidiasis in an immunodepressed patient following renal transplantation]. Rev Hosp Clin Fac Med Sao Paulo 1992; 47:31-3. [PMID: 1307400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Occurrence of fatal hyperinfection with Strongyloides stercoralis in an immunodepressed patient after kidney transplantation is reported. Physiopathology of the illness is discussed and the seriousness of the hyperinfection syndrome is stressed. Endoscopy with duodenal biopsy is useful for the establishment of diagnosis.
Collapse
Affiliation(s)
- J C German
- Departamento de Gastroenterologia, Faculdade de Medicina, Universidade de São Paulo, Brasil
| | | | | | | | | | | |
Collapse
|