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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] [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.
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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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Fontana M, Ivanovaitė Š, Lindhoud S, van der Wijk E, Mathwig K, Berg WVD, Weijers D, Hohlbein J. Probing DNA - Transcription Factor Interactions Using Single-Molecule Fluorescence Detection in Nanofluidic Devices. Adv Biol (Weinh) 2022; 6:e2100953. [PMID: 34472724 DOI: 10.1002/adbi.202100953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/16/2021] [Indexed: 01/27/2023]
Abstract
Single-molecule fluorescence detection offers powerful ways to study biomolecules and their complex interactions. Here, nanofluidic devices and camera-based, single-molecule Förster resonance energy transfer (smFRET) detection are combined to study the interactions between plant transcription factors of the auxin response factor (ARF) family and DNA oligonucleotides that contain target DNA response elements. In particular, it is shown that the binding of the unlabeled ARF DNA binding domain (ARF-DBD) to donor and acceptor labeled DNA oligonucleotides can be detected by changes in the FRET efficiency and changes in the diffusion coefficient of the DNA. In addition, this data on fluorescently labeled ARF-DBDs suggest that, at nanomolar concentrations, ARF-DBDs are exclusively present as monomers. In general, the fluidic framework of freely diffusing molecules minimizes potential surface-induced artifacts, enables high-throughput measurements, and proved to be instrumental in shedding more light on the interactions between ARF-DBDs monomers and between ARF-DBDs and their DNA response element.
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Affiliation(s)
- Mattia Fontana
- Laboratory of Biophysics, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands.,Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Šarunė Ivanovaitė
- Laboratory of Biophysics, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Simon Lindhoud
- Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Elmar van der Wijk
- Laboratory of Biophysics, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands.,Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Klaus Mathwig
- Groningen Research Institute of Pharmacy, Pharmaceutical Analysis, University of Groningen, P.O. Box 196, 9700 AD, Groningen, The Netherlands.,Stichting Imec Nederland within OnePlanet Research Center, Bronland 10, Wageningen, 6708 WH, The Netherlands
| | - Willy van den Berg
- Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Dolf Weijers
- Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Johannes Hohlbein
- Laboratory of Biochemistry, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands.,Microspectroscopy Research Facility, Wageningen University and Research, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
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