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Sterken MG, Nijveen H, van Zanten M, Jiménez-Gómez JM, Geshnizjani N, Willems LAJ, Rienstra J, Hilhorst HWM, Ligterink W, Snoek BL. Plasticity of maternal environment-dependent expression-QTLs of tomato seeds. Theor Appl Genet 2023; 136:28. [PMID: 36810666 PMCID: PMC9944408 DOI: 10.1007/s00122-023-04322-0] [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] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 10/27/2022] [Indexed: 06/18/2023]
Abstract
Seeds are essential for plant reproduction, survival, and dispersal. Germination ability and successful establishment of young seedlings strongly depend on seed quality and on environmental factors such as nutrient availability. In tomato (Solanum lycopersicum) and many other species, seed quality and seedling establishment characteristics are determined by genetic variation, as well as the maternal environment in which the seeds develop and mature. The genetic contribution to variation in seed and seedling quality traits and environmental responsiveness can be estimated at transcriptome level in the dry seed by mapping genomic loci that affect gene expression (expression QTLs) in contrasting maternal environments. In this study, we applied RNA-sequencing to construct a linkage map and measure gene expression of seeds of a tomato recombinant inbred line (RIL) population derived from a cross between S. lycopersicum (cv. Moneymaker) and S. pimpinellifolium (G1.1554). The seeds matured on plants cultivated under different nutritional environments, i.e., on high phosphorus or low nitrogen. The obtained single-nucleotide polymorphisms (SNPs) were subsequently used to construct a genetic map. We show how the genetic landscape of plasticity in gene regulation in dry seeds is affected by the maternal nutrient environment. The combined information on natural genetic variation mediating (variation in) responsiveness to the environment may contribute to knowledge-based breeding programs aiming to develop crop cultivars that are resilient to stressful environments.
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Affiliation(s)
- Mark G. Sterken
- Laboratory of Nematology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Harm Nijveen
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
- Laboratory of Bioinformatics, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Martijn van Zanten
- Plant Stress Resilience, Institute of Environmental Biology, Utrecht University, 3584 CH Utrecht, The Netherlands
| | - Jose M. Jiménez-Gómez
- Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000 Versailles, France
| | - Nafiseh Geshnizjani
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Leo A. J. Willems
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Juriaan Rienstra
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Henk W. M. Hilhorst
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Wilco Ligterink
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Basten L. Snoek
- Laboratory of Nematology, Wageningen University, 6708 PB Wageningen, The Netherlands
- Theoretical Biology and Bioinformatics, Institute of Biodynamics and Biocomplexity, Utrecht University, 3584 CH Utrecht, The Netherlands
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Magnani E, Jiménez-Gómez JM, Soubigou-Taconnat L, Lepiniec L, Fiume E. Profiling the onset of somatic embryogenesis in Arabidopsis. BMC Genomics 2017; 18:998. [PMID: 29284399 PMCID: PMC5747089 DOI: 10.1186/s12864-017-4391-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [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: 09/14/2017] [Accepted: 12/15/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Totipotency is the ability of a cell to regenerate a whole organism. Plant somatic embryogenesis (SE) is a remarkable example of totipotency because somatic cells reverse differentiation, respond to an appropriate stimulus and initiate embryo development. Although SE is an ideal system to investigate de-differentiation and differentiation, we still lack a deep molecular understanding of the phenomenon due to experimental restraints. RESULTS We applied the INTACT method to specifically isolate the nuclei of those cells undergoing SE among the majority of non-embryogenic cells that make up a callus. We compared the transcriptome of embryogenic cells to the one of proliferating callus cells. Our analyses revealed that embryogenic cells are transcriptionally rather than metabolically active. Embryogenic cells shut off biochemical pathways involved in carbohydrate and lipid metabolism and activate the transcriptional machinery. Furthermore, we show how early in SE, ground tissue and leaf primordia specification are switched on before the specification of a shoot apical meristem. CONCLUSIONS This is the first attempt to specifically profile embryogenic cells among the different cell types that constitute plant in vitro tissue cultures. Our comparative analyses provide insights in the gene networks regulating SE and open new research avenues in the field of plant regeneration.
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Affiliation(s)
- E Magnani
- Insitut Jean-Pierre Bourgin (IJPB), INRA, AgroParisTech, CNRS, Université Paris-Saclay, INRA, Route de St-Cyr (RD10), 78026, Versailles Cedex, France
| | - J M Jiménez-Gómez
- Insitut Jean-Pierre Bourgin (IJPB), INRA, AgroParisTech, CNRS, Université Paris-Saclay, INRA, Route de St-Cyr (RD10), 78026, Versailles Cedex, France
| | - L Soubigou-Taconnat
- POPS, Plateforme TranscriptOmique, Institute of Plant Sciences, Université Paris-Saclay, rue de Noetzlin, Plateau du Moulon, 91190, Gif-sur-Yvette, France
| | - L Lepiniec
- Insitut Jean-Pierre Bourgin (IJPB), INRA, AgroParisTech, CNRS, Université Paris-Saclay, INRA, Route de St-Cyr (RD10), 78026, Versailles Cedex, France
| | - E Fiume
- Insitut Jean-Pierre Bourgin (IJPB), INRA, AgroParisTech, CNRS, Université Paris-Saclay, INRA, Route de St-Cyr (RD10), 78026, Versailles Cedex, France.
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Serin EAR, Snoek LB, Nijveen H, Willems LAJ, Jiménez-Gómez JM, Hilhorst HWM, Ligterink W. Construction of a High-Density Genetic Map from RNA-Seq Data for an Arabidopsis Bay-0 × Shahdara RIL Population. Front Genet 2017; 8:201. [PMID: 29259624 PMCID: PMC5723289 DOI: 10.3389/fgene.2017.00201] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [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: 10/02/2017] [Accepted: 11/21/2017] [Indexed: 12/17/2022] Open
Abstract
High-density genetic maps are essential for high resolution mapping of quantitative traits. Here, we present a new genetic map for an Arabidopsis Bayreuth × Shahdara recombinant inbred line (RIL) population, built on RNA-seq data. RNA-seq analysis on 160 RILs of this population identified 30,049 single-nucleotide polymorphisms (SNPs) covering the whole genome. Based on a 100-kbp window SNP binning method, 1059 bin-markers were identified, physically anchored on the genome. The total length of the RNA-seq genetic map spans 471.70 centimorgans (cM) with an average marker distance of 0.45 cM and a maximum marker distance of 4.81 cM. This high resolution genotyping revealed new recombination breakpoints in the population. To highlight the advantages of such high-density map, we compared it to two publicly available genetic maps for the same population, comprising 69 PCR-based markers and 497 gene expression markers derived from microarray data, respectively. In this study, we show that SNP markers can effectively be derived from RNA-seq data. The new RNA-seq map closes many existing gaps in marker coverage, saturating the previously available genetic maps. Quantitative trait locus (QTL) analysis for published phenotypes using the available genetic maps showed increased QTL mapping resolution and reduced QTL confidence interval using the RNA-seq map. The new high-density map is a valuable resource that facilitates the identification of candidate genes and map-based cloning approaches.
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Affiliation(s)
- Elise A R Serin
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, Netherlands
| | - L B Snoek
- Laboratory of Nematology, Wageningen University, Wageningen, Netherlands.,Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, Netherlands
| | - Harm Nijveen
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, Netherlands.,Laboratory of Bioinformatics, Wageningen University, Wageningen, Netherlands
| | - Leo A J Willems
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, Netherlands
| | - Jose M Jiménez-Gómez
- Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany.,Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, Versailles Cedex, France
| | - Henk W M Hilhorst
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, Netherlands
| | - Wilco Ligterink
- Wageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, Netherlands
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