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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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Delorme-Hinoux V, Mbodj A, Brando S, De Bures A, Llauro C, Covato F, Garrigue J, Guisset C, Borrut J, Mirouze M, Reichheld JP, Sáez-Vásquez J. 45S rDNA Diversity In Natura as One Step towards Ribosomal Heterogeneity in Arabidopsis thaliana. PLANTS (BASEL, SWITZERLAND) 2023; 12:2722. [PMID: 37514338 PMCID: PMC10386311 DOI: 10.3390/plants12142722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023]
Abstract
The keystone of ribosome biogenesis is the transcription of 45S rDNA. The Arabidopsis thaliana genome contains hundreds of 45S rDNA units; however, they are not all transcribed. Notably, 45S rDNA units contain insertions/deletions revealing the existence of heterogeneous rRNA genes and, likely, heterogeneous ribosomes for rRNAs. In order to obtain an overall picture of 45S rDNA diversity sustaining the synthesis of rRNAs and, subsequently, of ribosomes in natura, we took advantage of 320 new occurrences of Arabidopsis thaliana as a metapopulation named At66, sampled from 0 to 1900 m of altitude in the eastern Pyrenees in France. We found that the 45S rDNA copy number is very dynamic in natura and identified new genotypes for both 5' and 3' External Transcribed Spacers (ETS). Interestingly, the highest 5'ETS genotype diversity is found in altitude while the highest 3'ETS genotype diversity is found at sea level. Structural analysis of 45S rDNA also shows conservation in natura of specific 5'ETS and 3'ETS sequences/features required to control rDNA expression and the processing of rRNAs. In conclusion, At66 is a worthwhile natural laboratory, and unraveled 45S rDNA diversity represents an interesting starting material to select subsets for rDNA transcription and alter the rRNA composition of ribosomes both intra- and inter-site.
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Affiliation(s)
- Valérie Delorme-Hinoux
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- EMR LGDP/MANGO, Mechanisms of Adaptation and Genomics, IRD-CNRS-UPVD, 66860 Perpignan, France
- Association Charles Flahault, 66350 Toulouges, France
| | - Assane Mbodj
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- EMR LGDP/MANGO, Mechanisms of Adaptation and Genomics, IRD-CNRS-UPVD, 66860 Perpignan, France
- Institut de Recherche pour le Développement (IRD), ECOBIO, 34000 Montpellier, France
| | - Sophie Brando
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
| | - Anne De Bures
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
| | - Christel Llauro
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- EMR LGDP/MANGO, Mechanisms of Adaptation and Genomics, IRD-CNRS-UPVD, 66860 Perpignan, France
| | - Fabrice Covato
- FRNC, Fédération des Réserves Naturelles Catalanes, 66500 Prades, France
| | - Joseph Garrigue
- FRNC, Fédération des Réserves Naturelles Catalanes, 66500 Prades, France
| | - Claude Guisset
- Association Charles Flahault, 66350 Toulouges, France
- FRNC, Fédération des Réserves Naturelles Catalanes, 66500 Prades, France
| | | | - Marie Mirouze
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- EMR LGDP/MANGO, Mechanisms of Adaptation and Genomics, IRD-CNRS-UPVD, 66860 Perpignan, France
- Institut de Recherche pour le Développement (IRD), ECOBIO, 34000 Montpellier, France
| | - Jean-Philippe Reichheld
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
| | - Julio Sáez-Vásquez
- Université de Perpignan Via Domitia (UPVD), Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
- Centre National de la Recherche Scientifique, Laboratoire Génome et Développement des Plantes (LGDP), UMR 5096, 66860 Perpignan, France
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3
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Blois L, de Miguel M, Bert P, Girollet N, Ollat N, Rubio B, Segura V, Voss‐Fels KP, Schmid J, Marguerit E. Genetic structure and first genome-wide insights into the adaptation of a wild relative of grapevine, Vitis berlandieri. Evol Appl 2023; 16:1184-1200. [PMID: 37360024 PMCID: PMC10286229 DOI: 10.1111/eva.13566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
In grafted plants, such as grapevine, increasing the diversity of rootstocks available to growers is an ideal strategy for helping plants to adapt to climate change. The rootstocks used for grapevine are hybrids of various American Vitis, including V. berlandieri. The rootstocks currently use in vineyards are derived from breeding programs involving very small numbers of parental individuals. We investigated the structure of a natural population of V. berlandieri and the association of genetic diversity with environmental variables. In this study, we collected seeds from 78 wild V. berlandieri plants in Texas after open fertilization. We genotyped 286 individuals to describe the structure of the population, and environmental information collected at the sampling site made it possible to perform genome-environment association analysis (GEA). De novo long-read whole-genome sequencing was performed on V. berlandieri and a STRUCTURE analysis was performed. We identified and filtered 104,378 SNPs. We found that there were two subpopulations associated with differences in elevation, temperature, and rainfall between sampling sites. GEA identified three QTL for elevation and 15 QTL for PCA coordinates based on environmental parameter variability. This original study is the first GEA study to be performed on a population of grapevines sampled in natural conditions. Our results shed new light on rootstock genetics and could open up possibilities for introducing greater diversity into genetic improvement programs for grapevine rootstocks.
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Affiliation(s)
- Louis Blois
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Marina de Miguel
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Pierre‐François Bert
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Nabil Girollet
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Nathalie Ollat
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Bernadette Rubio
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
| | - Vincent Segura
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut AgroMontpellierFrance
| | - Kai P. Voss‐Fels
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Joachim Schmid
- Department of Grapevine BreedingGeisenheim UniversityGeisenheimGermany
| | - Elisa Marguerit
- EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVVVillenave d'OrnonFrance
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Frachon L, Arrigo L, Rusman Q, Poveda L, Qi W, Scopece G, Schiestl FP. Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors. Mol Biol Evol 2023; 40:7043265. [PMID: 36795638 PMCID: PMC10015620 DOI: 10.1093/molbev/msad036] [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: 08/08/2022] [Revised: 01/31/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
The reproductive success of flowering plants with generalized pollination systems is influenced by interactions with a diverse pollinator community and abiotic factors. However, knowledge about the adaptative potential of plants to complex ecological networks and the underlying genetic mechanisms is still limited. Based on a pool-sequencing approach of 21 natural populations of Brassica incana in Southern Italy, we combined a genome-environmental association analysis with a genome scan for signals of population genomic differentiation to discover genetic variants associated with the ecological variation. We identified genomic regions putatively involved in the adaptation of B. incana to the identity of local pollinator functional categories and pollinator community composition. Interestingly, we observed several shared candidate genes associated with long-tongue bees, soil texture, and temperature variation. We established a genomic map of potential generalist flowering plant local adaptation to complex biotic interactions, and the importance of considering multiple environmental factors to describe the adaptive landscape of plant populations.
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Affiliation(s)
| | - Luca Arrigo
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
| | - Quint Rusman
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
| | - Lucy Poveda
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
| | - Weihong Qi
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, 1202 Geneva, Switzerland
| | - Giovanni Scopece
- Department of Biology, University of Naples Federico II, Complesso Universitario MSA, Naples, Italy
- NBFC: National Biodiversity Future Center, Palermo 90133, Italy
| | - Florian P Schiestl
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
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5
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Scotti I, Lalagüe H, Oddou-Muratorio S, Scotti-Saintagne C, Ruiz Daniels R, Grivet D, Lefevre F, Cubry P, Fady B, González-Martínez SC, Roig A, Lesur-Kupin I, Bagnoli F, Guerin V, Plomion C, Rozenberg P, Vendramin GG. Common microgeographical selection patterns revealed in four European conifers. Mol Ecol 2023; 32:393-411. [PMID: 36301304 DOI: 10.1111/mec.16750] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 09/06/2022] [Accepted: 10/11/2022] [Indexed: 01/11/2023]
Abstract
Microgeographical adaptation occurs when the effects of directional selection persist despite gene flow. Traits and genetic loci under selection can then show adaptive divergence, against the backdrop of little differentiation at other traits or loci. How common such events are and how strong the selection is that underlies them remain open questions. Here, we discovered and analysed microgeographical patterns of genomic divergence in four European and Mediterranean conifers with widely differing life-history traits and ecological requirements (Abies alba MIll., Cedrus atlantica [Endl.] Manetti, Pinus halepensis Mill. and Pinus pinaster Aiton) by screening pairs from geographically close forest stands sampled along steep ecological gradients. We inferred patterns of genomic divergence by applying a combination of divergence outlier detection methods, demographic modelling, Approximate Bayesian Computation inferences and genomic annotation to genomic data. Surprisingly for such small geographical scales, we showed that selection is strong in all species but generally affects different loci in each. A clear signature of selection was systematically detected on a fraction of the genome, of the order of 0.1%-1% of the loci depending on the species. The novel modelling method we designed for estimating selection coefficients showed that the microgeographical selection coefficient scaled by population size (Ns) was 2-30. Our results convincingly suggest that selection maintains within-population diversity at microgeographical scales in spatially heterogeneous environments. Such genetic diversity is likely to be a major reservoir of adaptive potential, helping populations to adapt under fluctuating environmental conditions.
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Affiliation(s)
| | - Hadrien Lalagüe
- UMR EcoFoG, AgroParisTech, CIRAD, CNRS, INRAE, Université des Antilles, Université de Guyane, Campus Agronomique, Kourou, France
| | | | | | - Rose Ruiz Daniels
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK
| | | | | | - Philippe Cubry
- DIADE, Univ Montpellier, CIRAD, IRD, Montpellier, France
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6
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Diversity matters in wheat mixtures: A genomic survey of the impact of genetic diversity on the performance of 12 way durum wheat mixtures grown in two contrasted and controlled environments. PLoS One 2022; 17:e0276223. [PMID: 36490260 PMCID: PMC9733896 DOI: 10.1371/journal.pone.0276223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 10/04/2022] [Indexed: 12/13/2022] Open
Abstract
In ecology, an increase in genetic diversity within a community in natural ecosystems increases its productivity, while in evolutionary biology, kinship selection predicts that relatedness on social traits improves fitness. Varietal mixtures, where different genotypes are grown together, show contrasting results, especially for grain yield where both positive and negative effects of mixtures have been reported. To understand the effect of diversity on field performance, we grew 96 independent mixtures each composed with 12 durum wheat (Triticum turgidum ssp. durum Thell.) inbred lines, under two contrasting environmental conditions for water availability. Using dense genotyping, we imputed allelic frequencies and a genetic diversity index on more than 96000 loci for each mixture. We then analyzed the effect of genetic diversity on agronomic performance using a genome-wide approach. We explored the stress gradient hypothesis, which proposes that the greater the unfavourable conditions, the more beneficial the effect of diversity on mixture performance. We found that diversity on average had a negative effect on yield and its components while it was beneficial on grain weight. There was little support for the stress gradient theory. We discuss how to use genomic data to improve the assembly of varietal mixtures.
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7
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Chaturvedi S, Gompert Z, Feder JL, Osborne OG, Muschick M, Riesch R, Soria-Carrasco V, Nosil P. Climatic similarity and genomic background shape the extent of parallel adaptation in Timema stick insects. Nat Ecol Evol 2022; 6:1952-1964. [PMID: 36280782 PMCID: PMC7613875 DOI: 10.1038/s41559-022-01909-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 09/13/2022] [Indexed: 12/15/2022]
Abstract
Evolution can repeat itself, resulting in parallel adaptations in independent lineages occupying similar environments. Moreover, parallel evolution sometimes, but not always, uses the same genes. Two main hypotheses have been put forth to explain the probability and extent of parallel evolution. First, parallel evolution is more likely when shared ecologies result in similar patterns of natural selection in different taxa. Second, parallelism is more likely when genomes are similar because of shared standing variation and similar mutational effects in closely related genomes. Here we combine ecological, genomic, experimental and phenotypic data with Bayesian modelling and randomization tests to quantify the degree of parallelism and its relationship with ecology and genetics. Our results show that the extent to which genomic regions associated with climate are parallel among species of Timema stick insects is shaped collectively by shared ecology and genomic background. Specifically, the extent of genomic parallelism decays with divergence in climatic conditions (that is, habitat or ecological similarity) and genomic similarity. Moreover, we find that climate-associated loci are likely subject to selection in a field experiment, overlap with genetic regions associated with cuticular hydrocarbon traits and are not strongly shaped by introgression between species. Our findings shed light on when evolution is most expected to repeat itself.
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Affiliation(s)
- Samridhi Chaturvedi
- Department of Integrative Biology, University of California, Berkeley, CA, USA.
- Department of Biology and Ecology Center, Utah State University, Logan, UT, USA.
| | - Zachariah Gompert
- Department of Biology and Ecology Center, Utah State University, Logan, UT, USA.
| | - Jeffrey L Feder
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Owen G Osborne
- Molecular Ecology and Evolution Bangor, Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, UK
| | - Moritz Muschick
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, Eawag, Swiss Federal Institute for Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Rüdiger Riesch
- Department of Biological Sciences, Royal Holloway University of London, Egham, UK
| | | | - Patrik Nosil
- Department of Biology and Ecology Center, Utah State University, Logan, UT, USA
- CEFE, Univ. Montpellier, CNRS, EPHE, IRD, Univ. Paul Valéry Montpellier 3, Montpellier, France
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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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9
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Fletcher LR, Scoffoni C, Farrell C, Buckley TN, Pellegrini M, Sack L. Testing the association of relative growth rate and adaptation to climate across natural ecotypes of Arabidopsis. THE NEW PHYTOLOGIST 2022; 236:413-432. [PMID: 35811421 DOI: 10.1111/nph.18369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
Ecophysiologists have reported a range of relationships, including intrinsic trade-offs across and within species between plant relative growth rate in high resource conditions (RGR) vs adaptation to tolerate cold or arid climates, arising from trait-based mechanisms. Few studies have considered ecotypes within a species, in which the lack of a trade-off would contribute to a wide species range and resilience to climate change. For 15 ecotypes of Arabidopsis thaliana in a common garden we tested for associations between RGR vs adaptation to cold or dry native climates and assessed hypotheses for its mediation by 15 functional traits. Ecotypes native to warmer, drier climates had higher leaf density, leaf mass per area, root mass fraction, nitrogen per leaf area and carbon isotope ratio, and lower osmotic potential at full turgor. Relative growth rate was statistically independent of the climate of the ecotype native range and of individual functional traits. The decoupling of RGR and cold or drought adaptation in Arabidopsis is consistent with multiple stress resistance and avoidance mechanisms for ecotypic climate adaptation and would contribute to the species' wide geographic range and resilience as the climate changes.
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Affiliation(s)
- Leila R Fletcher
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095, USA
- School of the Environment, Yale University, New Haven, CT, 06511, USA
| | - Christine Scoffoni
- Department of Biological Sciences, California State University, Los Angeles, CA, 90032, USA
| | - Colin Farrell
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90095, USA
| | - Thomas N Buckley
- Department of Plant Sciences, College of Agricultural and Environmental Sciences, University of California, Davis, CA, 95616, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90095, USA
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095, USA
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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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Cortés AJ, López-Hernández F, Blair MW. Genome–Environment Associations, an Innovative Tool for Studying Heritable Evolutionary Adaptation in Orphan Crops and Wild Relatives. Front Genet 2022; 13:910386. [PMID: 35991553 PMCID: PMC9389289 DOI: 10.3389/fgene.2022.910386] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/30/2022] [Indexed: 11/23/2022] Open
Abstract
Leveraging innovative tools to speed up prebreeding and discovery of genotypic sources of adaptation from landraces, crop wild relatives, and orphan crops is a key prerequisite to accelerate genetic gain of abiotic stress tolerance in annual crops such as legumes and cereals, many of which are still orphan species despite advances in major row crops. Here, we review a novel, interdisciplinary approach to combine ecological climate data with evolutionary genomics under the paradigm of a new field of study: genome–environment associations (GEAs). We first exemplify how GEA utilizes in situ georeferencing from genotypically characterized, gene bank accessions to pinpoint genomic signatures of natural selection. We later discuss the necessity to update the current GEA models to predict both regional- and local- or micro-habitat–based adaptation with mechanistic ecophysiological climate indices and cutting-edge GWAS-type genetic association models. Furthermore, to account for polygenic evolutionary adaptation, we encourage the community to start gathering genomic estimated adaptive values (GEAVs) for genomic prediction (GP) and multi-dimensional machine learning (ML) models. The latter two should ideally be weighted by de novo GWAS-based GEA estimates and optimized for a scalable marker subset. We end the review by envisioning avenues to make adaptation inferences more robust through the merging of high-resolution data sources, such as environmental remote sensing and summary statistics of the genomic site frequency spectrum, with the epigenetic molecular functionality responsible for plastic inheritance in the wild. Ultimately, we believe that coupling evolutionary adaptive predictions with innovations in ecological genomics such as GEA will help capture hidden genetic adaptations to abiotic stresses based on crop germplasm resources to assist responses to climate change. “I shall endeavor to find out how nature’s forces act upon one another, and in what manner the geographic environment exerts its influence on animals and plants. In short, I must find out about the harmony in nature” Alexander von Humboldt—Letter to Karl Freiesleben, June 1799.
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Affiliation(s)
- Andrés J. Cortés
- Corporacion Colombiana de Investigacion Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
- *Correspondence: Andrés J. Cortés, ; Matthew W. Blair,
| | - Felipe López-Hernández
- Corporacion Colombiana de Investigacion Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
| | - Matthew W. Blair
- Department of Agricultural & Environmental Sciences, Tennessee State University, Nashville, TN, United States
- *Correspondence: Andrés J. Cortés, ; Matthew W. Blair,
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12
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Alvarado AH, Bossu CM, Harrigan RJ, Bay RA, Nelson ARP, Smith TB, Ruegg KC. Genotype‐environment associations across spatial scales reveal the importance of putative adaptive genetic variation in divergence. Evol Appl 2022; 15:1390-1407. [PMID: 36187181 PMCID: PMC9488676 DOI: 10.1111/eva.13444] [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: 10/25/2021] [Accepted: 06/04/2022] [Indexed: 12/01/2022] Open
Abstract
Identifying areas of high evolutionary potential is a judicious strategy for developing conservation priorities in the face of environmental change. For wide‐ranging species occupying heterogeneous environments, the evolutionary forces that shape distinct populations can vary spatially. Here, we investigate patterns of genomic variation and genotype–environment associations in the hermit thrush (Catharus guttatus), a North American songbird, at broad (across the breeding range) and narrow spatial scales (at a hybrid zone). We begin by building a genoscape or map of genetic variation across the breeding range and find five distinct genetic clusters within the species, with the greatest variation occurring in the western portion of the range. Genotype–environment association analyses indicate higher allelic turnover in the west than in the east, with measures of temperature surfacing as key predictors of putative adaptive genomic variation rangewide. Since broad patterns detected across a species' range represent the aggregate of many locally adapted populations, we investigate whether our broadscale analysis is consistent with a finer scale analysis. We find that top rangewide temperature‐associated loci vary in their clinal patterns (e.g., steep clines vs. fixed allele frequencies) across a hybrid zone in British Columbia, suggesting that the environmental predictors and the associated candidate loci identified in the rangewide analysis are of variable importance in this particular region. However, two candidate loci exhibit strong concordance with the temperature gradient in British Columbia, suggesting a potential role for temperature‐related barriers to gene flow and/or temperature‐driven ecological selection in maintaining putative local adaptation. This study demonstrates how patterns identified at the broad (macrogeographic) scale can be validated by investigating genotype–environment correlations at the local (microgeographic) scale. Furthermore, our results highlight the importance of considering the spatial distribution of putative adaptive variation when assessing population‐level sensitivity to climate change and other stressors.
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Affiliation(s)
- Allison H. Alvarado
- Biology Department California State University Channel Islands Camarillo CA USA
| | - Christen M. Bossu
- Center for Tropical Research, Institute of Environment and Sustainability University of California Los Angeles CA USA
- Department of Biology Colorado State University Fort Collins CO USA
| | - Ryan J. Harrigan
- Center for Tropical Research, Institute of Environment and Sustainability University of California Los Angeles CA USA
| | - Rachael A. Bay
- Department of Evolution and Ecology University of California Davis CA USA
| | | | - Thomas B. Smith
- Center for Tropical Research, Institute of Environment and Sustainability University of California Los Angeles CA USA
- Department of Ecology and Evolutionary Biology University of California Los Angeles CA USA
| | - Kristen C. Ruegg
- Department of Biology Colorado State University Fort Collins CO USA
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13
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Ferrero-Serrano Á, Sylvia MM, Forstmeier PC, Olson AJ, Ware D, Bevilacqua PC, Assmann SM. Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis. Genome Biol 2022; 23:101. [PMID: 35440059 PMCID: PMC9017077 DOI: 10.1186/s13059-022-02656-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 03/20/2022] [Indexed: 11/23/2022] Open
Abstract
Background Genome-wide association studies (GWAS) aim to correlate phenotypic changes with genotypic variation. Upon transcription, single nucleotide variants (SNVs) may alter mRNA structure, with potential impacts on transcript stability, macromolecular interactions, and translation. However, plant genomes have not been assessed for the presence of these structure-altering polymorphisms or “riboSNitches.” Results We experimentally demonstrate the presence of riboSNitches in transcripts of two Arabidopsis genes, ZINC RIBBON 3 (ZR3) and COTTON GOLGI-RELATED 3 (CGR3), which are associated with continentality and temperature variation in the natural environment. These riboSNitches are also associated with differences in the abundance of their respective transcripts, implying a role in regulating the gene's expression in adaptation to local climate conditions. We then computationally predict riboSNitches transcriptome-wide in mRNAs of 879 naturally inbred Arabidopsis accessions. We characterize correlations between SNPs/riboSNitches in these accessions and 434 climate descriptors of their local environments, suggesting a role of these variants in local adaptation. We integrate this information in CLIMtools V2.0 and provide a new web resource, T-CLIM, that reveals associations between transcript abundance variation and local environmental variation. Conclusion We functionally validate two plant riboSNitches and, for the first time, demonstrate riboSNitch conditionality dependent on temperature, coining the term “conditional riboSNitch.” We provide the first pan-genome-wide prediction of riboSNitches in plants. We expand our previous CLIMtools web resource with riboSNitch information and with 1868 additional Arabidopsis genomes and 269 additional climate conditions, which will greatly facilitate in silico studies of natural genetic variation, its phenotypic consequences, and its role in local adaptation. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02656-4.
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Affiliation(s)
- Ángel Ferrero-Serrano
- Department of Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA.
| | - Megan M Sylvia
- Department of Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA
| | - Peter C Forstmeier
- Department of Biochemistry, Microbiology, and Molecular Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA
| | - Andrew J Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.,USDA ARS NAA Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
| | - Philip C Bevilacqua
- Department of Biochemistry, Microbiology, and Molecular Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA.,Department of Chemistry, Pennsylvania State University, University Park, State College, PA, 16802, USA.,Center for RNA Molecular Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA
| | - Sarah M Assmann
- Department of Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA. .,Center for RNA Molecular Biology, Pennsylvania State University, University Park, State College, PA, 16802, USA.
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14
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Eljebbawi A, Savelli B, Libourel C, Estevez JM, Dunand C. Class III Peroxidases in Response to Multiple Abiotic Stresses in Arabidopsis thaliana Pyrenean Populations. Int J Mol Sci 2022; 23:ijms23073960. [PMID: 35409333 PMCID: PMC8999671 DOI: 10.3390/ijms23073960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 03/29/2022] [Accepted: 03/29/2022] [Indexed: 02/04/2023] Open
Abstract
Class III peroxidases constitute a plant-specific multigene family, where 73 genes have been identified in Arabidopsis thaliana. These genes are members of the reactive oxygen species (ROS) regulatory network in the whole plant, but more importantly, at the root level. In response to abiotic stresses such as cold, heat, and salinity, their expression is significantly modified. To learn more about their transcriptional regulation, an integrative phenotypic, genomic, and transcriptomic study was executed on the roots of A. thaliana Pyrenean populations. Initially, the root phenotyping highlighted 3 Pyrenean populations to be tolerant to cold (Eaux), heat (Herr), and salt (Grip) stresses. Then, the RNA-seq analyses on these three populations, in addition to Col-0, displayed variations in CIII Prxs expression under stressful treatments and between different genotypes. Consequently, several CIII Prxs were particularly upregulated in the tolerant populations, suggesting novel and specific roles of these genes in plant tolerance against abiotic stresses.
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Affiliation(s)
- Ali Eljebbawi
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, INP, 31326 Toulouse, France; (A.E.); (B.S.); (C.L.)
| | - Bruno Savelli
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, INP, 31326 Toulouse, France; (A.E.); (B.S.); (C.L.)
| | - Cyril Libourel
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, INP, 31326 Toulouse, France; (A.E.); (B.S.); (C.L.)
| | - José Manuel Estevez
- Fundación Instituto Leloir and IIBBA-CONICET, Av. Patricias Argentinas 435, Buenos Aires C1405BWE, Argentina;
- Centro de Biotecnología Vegetal, Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago CP 8370146, Chile
- ANID—Millennium Science Initiative Program—Millennium Institute for Integrative Biology (iBio) Millennium Nucleus for the Development of Super Adaptable Plants (MN-SAP), Santiago CP 8370146, Chile
| | - Christophe Dunand
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, INP, 31326 Toulouse, France; (A.E.); (B.S.); (C.L.)
- Correspondence:
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15
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Demirjian C, Razavi N, Desaint H, Lonjon F, Genin S, Roux F, Berthomé R, Vailleau F. Study of natural diversity in response to a key pathogenicity regulator of Ralstonia solanacearum reveals new susceptibility genes in Arabidopsis thaliana. MOLECULAR PLANT PATHOLOGY 2022; 23:321-338. [PMID: 34939305 PMCID: PMC8828461 DOI: 10.1111/mpp.13135] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/25/2021] [Accepted: 08/10/2021] [Indexed: 06/12/2023]
Abstract
Ralstonia solanacearum gram-negative phytopathogenic bacterium exerts its virulence through a type III secretion system (T3SS) that translocates type III effectors (T3Es) directly into the host cells. T3E secretion is finely controlled at the posttranslational level by helper proteins, T3SS control proteins, and type III chaperones. The HpaP protein, one of the type III secretion substrate specificity switch (T3S4) proteins, was previously highlighted as a virulence factor on Arabidopsis thaliana Col-0 accession. In this study, we set up a genome-wide association analysis to explore the natural diversity of response to the hpaP mutant of two A. thaliana mapping populations: a worldwide collection and a local population. Quantitative genetic variation revealed different genetic architectures in both mapping populations, with a global delayed response to the hpaP mutant compared to the GMI1000 wild-type strain. We have identified several quantitative trait loci (QTLs) associated with the hpaP mutant inoculation. The genes underlying these QTLs are involved in different and specific biological processes, some of which were demonstrated important for R. solanacearum virulence. We focused our study on four candidate genes, RKL1, IRE3, RACK1B, and PEX3, identified using the worldwide collection, and validated three of them as susceptibility factors. Our findings demonstrate that the study of the natural diversity of plant response to a R. solanacearum mutant in a key regulator of virulence is an original and powerful strategy to identify genes directly or indirectly targeted by the pathogen.
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Affiliation(s)
| | - Narjes Razavi
- LIPME, Université de ToulouseINRAECNRSCastanet‐TolosanFrance
| | - Henri Desaint
- LIPME, Université de ToulouseINRAECNRSCastanet‐TolosanFrance
- SYNGENTA SeedsSarriansFrance
| | - Fabien Lonjon
- LIPME, Université de ToulouseINRAECNRSCastanet‐TolosanFrance
- Present address:
Department of Cell & Systems BiologyUniversity of TorontoTorontoOntarioCanada
| | - Stéphane Genin
- LIPME, Université de ToulouseINRAECNRSCastanet‐TolosanFrance
| | - Fabrice Roux
- LIPME, Université de ToulouseINRAECNRSCastanet‐TolosanFrance
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16
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Boinot M, Karakas E, Koehl K, Pagter M, Zuther E. Cold stress and freezing tolerance negatively affect the fitness of Arabidopsis thaliana accessions under field and controlled conditions. PLANTA 2022; 255:39. [PMID: 35032192 PMCID: PMC8761124 DOI: 10.1007/s00425-021-03809-8] [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: 08/20/2021] [Accepted: 12/08/2021] [Indexed: 05/15/2023]
Abstract
Higher acclimated freezing tolerance improved winter survival, but reduced reproductive fitness of Arabidopsis thaliana accessions under field and controlled conditions. Low temperature is one of the most important abiotic factors influencing plant fitness and geographical distribution. In addition, cold stress is known to influence crop yield and is therefore of great economic importance. Increased freezing tolerance can be acquired by the process of cold acclimation, but this may be associated with a fitness cost. To assess the influence of cold stress on the fitness of plants, long-term field trials over 5 years were performed with six natural accessions of Arabidopsis thaliana ranging from very tolerant to very sensitive to freezing. Fitness parameters, as seed yield and 1000 seed mass, were measured and correlation analyses with temperature and freezing tolerance data performed. The results were compared with fitness parameters from controlled chamber experiments over 3 years with application of cold priming and triggering conditions. Winter survival and seed yield per plant were positively correlated with temperature in field experiments. In addition, winter survival and 1000 seed mass were correlated with the cold-acclimated freezing tolerance of the selected Arabidopsis accessions. The results provide strong evidence for a trade-off between higher freezing tolerance and reproductive fitness in A. thaliana, which might have ecological impacts in the context of global warming.
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Affiliation(s)
- Maximilian Boinot
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Karin Koehl
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Majken Pagter
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
- Department of Chemistry and Bioscience, Aalborg University, 9220, Aalborg East, Denmark
| | - Ellen Zuther
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany.
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17
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Bergès SE, Vile D, Yvon M, Masclef D, Dauzat M, van Munster M. Water deficit changes the relationships between epidemiological traits of Cauliflower mosaic virus across diverse Arabidopsis thaliana accessions. Sci Rep 2021; 11:24103. [PMID: 34916537 PMCID: PMC8677750 DOI: 10.1038/s41598-021-03462-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 11/26/2021] [Indexed: 11/30/2022] Open
Abstract
Changes in plant abiotic environments may alter plant virus epidemiological traits, but how such changes actually affect their quantitative relationships is poorly understood. Here, we investigated the effects of water deficit on Cauliflower mosaic virus (CaMV) traits (virulence, accumulation, and vectored-transmission rate) in 24 natural Arabidopsis thaliana accessions grown under strictly controlled environmental conditions. CaMV virulence increased significantly in response to water deficit during vegetative growth in all A. thaliana accessions, while viral transmission by aphids and within-host accumulation were significantly altered in only a few. Under well-watered conditions, CaMV accumulation was correlated positively with CaMV transmission by aphids, while under water deficit, this relationship was reversed. Hence, under water deficit, high CaMV accumulation did not predispose to increased horizontal transmission. No other significant relationship between viral traits could be detected. Across accessions, significant relationships between climate at collection sites and viral traits were detected but require further investigation. Interactions between epidemiological traits and their alteration under abiotic stresses must be accounted for when modelling plant virus epidemiology under scenarios of climate change.
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Affiliation(s)
- Sandy E Bergès
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
- PHIM, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Denis Vile
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France.
| | - Michel Yvon
- PHIM, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Diane Masclef
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
| | - Myriam Dauzat
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
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18
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Costa e Silva J, Jordan R, Potts BM, Pinkard E, Prober SM. Directional Selection on Tree Seedling Traits Driven by Experimental Drought Differs Between Mesic and Dry Populations. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.722964] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
We evaluated population differences and drought-induced phenotypic selection on four seedling traits of the Australian forest tree Eucalyptus pauciflora using a glasshouse dry-down experiment. We compared dry and mesic populations and tested for directional selection on lamina length (reflecting leaf size), leaf shape, the node of ontogenetic transition to the petiolate leaf (reflecting the loss of vegetative juvenility), and lignotuber size (reflecting a recovery trait). On average, the dry population had smaller and broader leaves, greater retention of the juvenile leaf state and larger lignotubers than the mesic population, but the populations did not differ in seedling survival. While there was statistical support for directional selection acting on the focal traits in one or other population, and for differences between populations in selection gradient estimates for two traits, only one trait—lamina length—exhibited a pattern of directional selection consistent with the observed population differences being a result of past adaptation to reduce seedling susceptibility to acute drought. The observed directional selection for lamina length in the mesic population suggests that future increases in drought risk in the wild will shift the mean of the mesic population toward that of the dry population. Further, we provide evidence suggesting an early age trade-off between drought damage and recovery traits, with phenotypes which develop larger lignotubers early being more susceptible to drought death. Such trade-offs could have contributed to the absence of population mean differences in survival, despite marked differentiation in seedling traits.
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19
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Kreiner JM, Caballero A, Wright SI, Stinchcombe JR. Selective ancestral sorting and de novo evolution in the agricultural invasion of Amaranthus tuberculatus. Evolution 2021; 76:70-85. [PMID: 34806764 DOI: 10.1111/evo.14404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/12/2021] [Accepted: 10/24/2021] [Indexed: 12/16/2022]
Abstract
The relative role of hybridization, de novo evolution, and standing variation in weed adaptation to agricultural environments is largely unknown. In Amaranthus tuberculatus, a widespread North American agricultural weed, adaptation is likely influenced by recent secondary contact and admixture of two previously isolated lineages. We characterized the extent of adaptation and phenotypic differentiation accompanying the spread of A. tuberculatus into agricultural environments and the contribution of ancestral divergence. We generated phenotypic and whole-genome sequence data from a manipulative common garden experiment, using paired samples from natural and agricultural populations. We found strong latitudinal, longitudinal, and sex differentiation in phenotypes, and subtle differences among agricultural and natural environments that were further resolved with ancestry inference. The transition into agricultural environments has favored southwestern var. rudis ancestry that leads to higher biomass and treatment-specific phenotypes: increased biomass and earlier flowering under reduced water availability, and reduced plasticity in fitness-related traits. We also detected de novo adaptation in individuals from agricultural habitats independent of ancestry effects, including marginally higher biomass, later flowering, and treatment-dependent divergence in time to germination. Therefore, the invasion of A. tuberculatus into agricultural environments has drawn on adaptive variation across multiple timescales-through both preadaptation via the preferential sorting of var. rudis ancestry and de novo local adaptation.
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Affiliation(s)
- Julia M Kreiner
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, V6T 1Z4, Canada.,Current Address: Department of Botany, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.,Current Address: Biodiversity Research Centre, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Amalia Caballero
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Stephen I Wright
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, V6T 1Z4, Canada
| | - John R Stinchcombe
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, V6T 1Z4, Canada.,Koffler Scientific Reserve, University of Toronto, King City, ON, L7B 1K5, Canada
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20
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Zhu W, Shi X, Qi Y, Wang X, Chang L, Zhao C, Zhu L, Jiang J. Commensal microbiota and host metabolic divergence are associated with the adaptation of Diploderma vela to spatially heterogeneous environments. Integr Zool 2021; 17:346-365. [PMID: 34520122 DOI: 10.1111/1749-4877.12590] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/03/2021] [Accepted: 09/06/2021] [Indexed: 01/04/2023]
Abstract
Heterogeneous environment adaptation is critical to understand the species evolution and response to climate change. However, how narrow-range species adapt to micro-geographic heterogeneity has been overlooked, and there is a lack of insights from metabolism and commensal microbiota. Here, we studied the environmental adaptation for 3 geographic populations (>40 km apart) of Diploderma vela, a lizard endemic to dry-hot valleys of the Hengduan Mountain Region. The climatic boundary caused a cooler, droughtier, and barren environment for northernmost population (RM) than the middle (QZK) and southernmost populations (FS). Correspondingly, significant divergences in liver and muscle metabolism and commensal microbiota were detected between RM and QZK or FS individuals, but not between QZK and FS individuals. Phospholipid composition, coenzyme level (i.e. pyridoxal and NAD+ ), and cholesterol metabolism (e.g. androgen and estriol synthesis) constituted the major metabolic difference between RM and QZK/FS groups. FS and QZK individuals kept abundant Proteobacteria and antifungal strains, while RM individuals maintained more Firmicutes and Bacteroidota. Strong associations existed between varied host metabolite and gut microbes. How were these interpopulation variations associated to the environment adaptation were discussed. These results provided some novel insights into the environmental adaptation and implicated the consequence of climate change on narrow-range species.
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Affiliation(s)
- Wei Zhu
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China
| | - Xiudong Shi
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yin Qi
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China.,Mangkang Ecological Station, Tibet Ecological Safety Monitor Network, Chengdu, China
| | - Xiaoyi Wang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Liming Chang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chunlin Zhao
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China
| | - Lifeng Zhu
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Jianping Jiang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, China.,Mangkang Ecological Station, Tibet Ecological Safety Monitor Network, Chengdu, China
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21
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Subrahmaniam HJ, Roby D, Roux F. Toward Unifying Evolutionary Ecology and Genomics to Understand Positive Plant-Plant Interactions Within Wild Species. FRONTIERS IN PLANT SCIENCE 2021; 12:683373. [PMID: 34305981 PMCID: PMC8299075 DOI: 10.3389/fpls.2021.683373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/10/2021] [Indexed: 06/08/2023]
Abstract
In a local environment, plant networks include interactions among individuals of different species and among genotypes of the same species. While interspecific interactions are recognized as main drivers of plant community patterns, intraspecific interactions have recently gained attention in explaining plant community dynamics. However, an overview of intraspecific genotype-by-genotype interaction patterns within wild plant species is still missing. From the literature, we identified 91 experiments that were mainly designed to investigate the presence of positive interactions based on two contrasting hypotheses. Kin selection theory predicts partisan help given to a genealogical relative. The rationale behind this hypothesis relies on kin/non-kin recognition, with the positive outcome of kin cooperation substantiating it. On the other hand, the elbow-room hypothesis supports intraspecific niche partitioning leading to positive outcome when genetically distant genotypes interact. Positive diversity-productivity relationship rationalizes this hypothesis, notably with the outcome of overyielding. We found that both these hypotheses have been highly supported in experimental studies despite their opposite predictions between the extent of genetic relatedness among neighbors and the level of positive interactions. Interestingly, we identified a highly significant effect of breeding system, with a high proportion of selfing species associated with the presence of kin cooperation. Nonetheless, we identified several shortcomings regardless of the species considered, such as the lack of a reliable estimate of genetic relatedness among genotypes and ecological characterization of the natural habitats from which genotypes were collected, thereby impeding the identification of selective drivers of positive interactions. We therefore propose a framework combining evolutionary ecology and genomics to establish the eco-genomic landscape of positive GxG interactions in wild plant species.
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22
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Cortés AJ, López-Hernández F. Harnessing Crop Wild Diversity for Climate Change Adaptation. Genes (Basel) 2021; 12:783. [PMID: 34065368 PMCID: PMC8161384 DOI: 10.3390/genes12050783] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/28/2021] [Accepted: 05/19/2021] [Indexed: 12/20/2022] Open
Abstract
Warming and drought are reducing global crop production with a potential to substantially worsen global malnutrition. As with the green revolution in the last century, plant genetics may offer concrete opportunities to increase yield and crop adaptability. However, the rate at which the threat is happening requires powering new strategies in order to meet the global food demand. In this review, we highlight major recent 'big data' developments from both empirical and theoretical genomics that may speed up the identification, conservation, and breeding of exotic and elite crop varieties with the potential to feed humans. We first emphasize the major bottlenecks to capture and utilize novel sources of variation in abiotic stress (i.e., heat and drought) tolerance. We argue that adaptation of crop wild relatives to dry environments could be informative on how plant phenotypes may react to a drier climate because natural selection has already tested more options than humans ever will. Because isolated pockets of cryptic diversity may still persist in remote semi-arid regions, we encourage new habitat-based population-guided collections for genebanks. We continue discussing how to systematically study abiotic stress tolerance in these crop collections of wild and landraces using geo-referencing and extensive environmental data. By uncovering the genes that underlie the tolerance adaptive trait, natural variation has the potential to be introgressed into elite cultivars. However, unlocking adaptive genetic variation hidden in related wild species and early landraces remains a major challenge for complex traits that, as abiotic stress tolerance, are polygenic (i.e., regulated by many low-effect genes). Therefore, we finish prospecting modern analytical approaches that will serve to overcome this issue. Concretely, genomic prediction, machine learning, and multi-trait gene editing, all offer innovative alternatives to speed up more accurate pre- and breeding efforts toward the increase in crop adaptability and yield, while matching future global food demands in the face of increased heat and drought. In order for these 'big data' approaches to succeed, we advocate for a trans-disciplinary approach with open-source data and long-term funding. The recent developments and perspectives discussed throughout this review ultimately aim to contribute to increased crop adaptability and yield in the face of heat waves and drought events.
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Affiliation(s)
- Andrés J. Cortés
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Km 7 Vía Rionegro, Las Palmas, Rionegro 054048, Colombia;
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Sede Medellín, Medellín 050034, Colombia
| | - Felipe López-Hernández
- Corporación Colombiana de Investigación Agropecuaria AGROSAVIA, C.I. La Selva, Km 7 Vía Rionegro, Las Palmas, Rionegro 054048, Colombia;
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Guirao‐Rico S, González J. Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data. Mol Ecol Resour 2021; 21:1216-1229. [PMID: 33534960 PMCID: PMC8251607 DOI: 10.1111/1755-0998.13343] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 12/21/2020] [Accepted: 01/27/2021] [Indexed: 12/13/2022]
Abstract
Population genomics is a fast-developing discipline with promising applications in a growing number of life sciences fields. Advances in sequencing technologies and bioinformatics tools allow population genomics to exploit genome-wide information to identify the molecular variants underlying traits of interest and the evolutionary forces that modulate these variants through space and time. However, the cost of genomic analyses of multiple populations is still too high to address them through individual genome sequencing. Pooling individuals for sequencing can be a more effective strategy in Single Nucleotide Polymorphism (SNP) detection and allele frequency estimation because of a higher total coverage. However, compared to individual sequencing, SNP calling from pools has the additional difficulty of distinguishing rare variants from sequencing errors, which is often avoided by establishing a minimum threshold allele frequency for the analysis. Finding an optimal balance between minimizing information loss and reducing sequencing costs is essential to ensure the success of population genomics studies. Here, we have benchmarked the performance of SNP callers for Pool-seq data, based on different approaches, under different conditions, and using computer simulations and real data. We found that SNP callers performance varied for allele frequencies up to 0.35. We also found that SNP callers based on Bayesian (SNAPE-pooled) or maximum likelihood (MAPGD) approaches outperform the two heuristic callers tested (VarScan and PoolSNP), in terms of the balance between sensitivity and FDR both in simulated and sequencing data. Our results will help inform the selection of the most appropriate SNP caller not only for large-scale population studies but also in cases where the Pool-seq strategy is the only option, such as in metagenomic or polyploid studies.
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Affiliation(s)
- Sara Guirao‐Rico
- Institute of Evolutionary BiologyCSIC‐Universitat Pompeu FabraBarcelonaSpain
| | - Josefa González
- Institute of Evolutionary BiologyCSIC‐Universitat Pompeu FabraBarcelonaSpain
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24
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Klupczyńska EA, Pawłowski TA. Regulation of Seed Dormancy and Germination Mechanisms in a Changing Environment. Int J Mol Sci 2021; 22:1357. [PMID: 33572974 PMCID: PMC7866424 DOI: 10.3390/ijms22031357] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 01/10/2023] Open
Abstract
Environmental conditions are the basis of plant reproduction and are the critical factors controlling seed dormancy and germination. Global climate change is currently affecting environmental conditions and changing the reproduction of plants from seeds. Disturbances in germination will cause disturbances in the diversity of plant communities. Models developed for climate change scenarios show that some species will face a significant decrease in suitable habitat area. Dormancy is an adaptive mechanism that affects the probability of survival of a species. The ability of seeds of many plant species to survive until dormancy recedes and meet the requirements for germination is an adaptive strategy that can act as a buffer against the negative effects of environmental heterogeneity. The influence of temperature and humidity on seed dormancy status underlines the need to understand how changing environmental conditions will affect seed germination patterns. Knowledge of these processes is important for understanding plant evolution and adaptation to changes in the habitat. The network of genes controlling seed dormancy under the influence of environmental conditions is not fully characterized. Integrating research techniques from different disciplines of biology could aid understanding of the mechanisms of the processes controlling seed germination. Transcriptomics, proteomics, epigenetics, and other fields provide researchers with new opportunities to understand the many processes of plant life. This paper focuses on presenting the adaptation mechanism of seed dormancy and germination to the various environments, with emphasis on their prospective roles in adaptation to the changing climate.
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Affiliation(s)
| | - Tomasz A. Pawłowski
- Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland;
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25
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Wieters B, Steige KA, He F, Koch EM, Ramos-Onsins SE, Gu H, Guo YL, Sunyaev S, de Meaux J. Polygenic adaptation of rosette growth in Arabidopsis thaliana. PLoS Genet 2021; 17:e1008748. [PMID: 33493157 PMCID: PMC7861555 DOI: 10.1371/journal.pgen.1008748] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 02/04/2021] [Accepted: 12/10/2020] [Indexed: 12/16/2022] Open
Abstract
The rate at which plants grow is a major functional trait in plant ecology. However, little is known about its evolution in natural populations. Here, we investigate evolutionary and environmental factors shaping variation in the growth rate of Arabidopsis thaliana. We used plant diameter as a proxy to monitor plant growth over time in environments that mimicked latitudinal differences in the intensity of natural light radiation, across a set of 278 genotypes sampled within four broad regions, including an outgroup set of genotypes from China. A field experiment conducted under natural conditions confirmed the ecological relevance of the observed variation. All genotypes markedly expanded their rosette diameter when the light supply was decreased, demonstrating that environmental plasticity is a predominant source of variation to adapt plant size to prevailing light conditions. Yet, we detected significant levels of genetic variation both in growth rate and growth plasticity. Genome-wide association studies revealed that only 2 single nucleotide polymorphisms associate with genetic variation for growth above Bonferroni confidence levels. However, marginally associated variants were significantly enriched among genes with an annotated role in growth and stress reactions. Polygenic scores computed from marginally associated variants confirmed the polygenic basis of growth variation. For both light regimes, phenotypic divergence between the most distantly related population (China) and the various regions in Europe is smaller than the variation observed within Europe, indicating that the evolution of growth rate is likely to be constrained by stabilizing selection. We observed that Spanish genotypes, however, reach a significantly larger size than Northern European genotypes. Tests of adaptive divergence and analysis of the individual burden of deleterious mutations reveal that adaptive processes have played a more important role in shaping regional differences in rosette growth than maladaptive evolution. The rate at which plants grow is a major functional trait in plant ecology. However, little is known about its genetic variation in natural populations. Here, we investigate genetic and environmental factors shaping variation in the growth rate of Arabidopsis thaliana and ask whether genetic variation in plant growth contributes to adaptation to local environmental conditions. We grew plants under two light regimes that mimic latitudinal differences in the intensity of natural light radiation, and measured plant diameter as it grew over time. When the light supply was decreased, plant diameter grew more slowly but reached a markedly larger final size, confirming that plants can adjust their growth to prevailing light conditions. Yet, we also detected significant levels of genetic variation both in growth rate and in how the growth dynamics is adjusted to the light conditions. We show that this variation is encoded by many loci of small effect that are hard to locate in the genome but overall significantly enriched among genes associated with growth and stress reactions. We further observe that Spanish genotypes tended to reach, on average, a significantly larger rosette size than Northern European genotypes. Tests of adaptive divergence indicate that these differences may reflect adaptation to local environmental conditions.
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Affiliation(s)
| | - Kim A. Steige
- Institute of Botany, University of Cologne, Cologne, Germany
| | - Fei He
- Institute of Botany, University of Cologne, Cologne, Germany
| | - Evan M. Koch
- Genetics Division, Brigham & Women's Hospital and Harvard Medical School, Boston MA, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston MA, United States of America
| | | | - Hongya Gu
- State Key Laboratory for Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China
| | - Ya-Long Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Shamil Sunyaev
- Genetics Division, Brigham & Women's Hospital and Harvard Medical School, Boston MA, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston MA, United States of America
| | - Juliette de Meaux
- Institute of Botany, University of Cologne, Cologne, Germany
- * E-mail:
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26
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Nelson JT, Motamayor JC, Cornejo OE. Environment and pathogens shape local and regional adaptations to climate change in the chocolate tree, Theobroma cacao L. Mol Ecol 2020; 30:656-669. [PMID: 33247971 DOI: 10.1111/mec.15754] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 10/23/2020] [Accepted: 11/13/2020] [Indexed: 12/22/2022]
Abstract
Predicting the potential fate of a species in the face of climate change requires knowing the distribution of molecular adaptations across the geographic range of the species. In this work, we analysed 79 genomes of Theobroma cacao, an Amazonian tree known for the fruit from which chocolate is produced, to evaluate how local and regional molecular signatures of adaptation are distributed across the natural range of the species. We implemented novel techniques that incorporate summary statistics from multiple selection scans to infer selective sweeps. The majority of the molecular adaptations in the genome are not shared among populations. We show that ~71.5% of genes under selection also show significant associations with changes in environmental variables. Our results support the interpretation that these genes contribute to local adaptation of the populations in response to abiotic factors. We also found strong patterns of molecular adaptation in a diverse array of disease resistance genes (6.5% of selective sweeps), suggesting that differential adaptation to pathogens also contributes significantly to local adaptations. Our results are consistent with the interpretation that local selective pressures are more important than regional selective pressures in explaining adaptation across the range of a species.
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Affiliation(s)
- Joel T Nelson
- School of Biological Sciences, Washington State University, Pullman, WA, USA
| | | | - Omar E Cornejo
- School of Biological Sciences, Washington State University, Pullman, WA, USA
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27
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Yadav S, J Stow A, Dudaniec RY. Microgeographical adaptation corresponds to elevational distributions of congeneric montane grasshoppers. Mol Ecol 2020; 30:481-498. [PMID: 33217095 DOI: 10.1111/mec.15739] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/09/2020] [Accepted: 11/11/2020] [Indexed: 12/30/2022]
Abstract
Local adaptation can occur at small spatial scales relative to the dispersal capacity of species. Alpine ecosystems have sharp environmental clines that offer an opportunity to investigate the effects of fine-scale shifts in species' niche breadth on adaptive genetic processes. Here we examine two grasshopper species endemic to the Australian Alps (Kosciuscola spp.) that differ in elevational niche breadth: one broader, K. usitatus (1400-2200 m), and one narrower, K. tristis (1600-2000 m). We examine signatures of selection with respect to environmental and morphological variables in two mountain regions using FST outlier tests and environmental association analyses (EAAs) applied to single nucleotide polymorphism (SNP) data (K. usitatus: 9017 SNPs, n = 130; K. tristis: 7363 SNPs, n = 135). Stronger genetic structure was found in the more narrowly distributed K. tristis, which showed almost twice the number of SNPs under putative selection (10.8%) compared with K. usitatus (5.3%). When examining SNPs in common across species (n = 3058), 260 SNPs (8.5%) were outliers shared across species, and these were mostly associated with elevation, a proxy for temperature, suggesting parallel adaptive processes in response to climatic drivers. Additive polygenic scores (an estimate of the cumulative signal of selection across all candidate loci) were nonlinearly and positively correlated with elevation in both species. However, a steeper correlation in K. tristis indicated a stronger signal of spatially varying selection towards higher elevations. Our study illustrates that the niche breadth of co-occurring and related species distributed along the same environmental cline is associated with differences in patterns of microgeographical adaptation.
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Affiliation(s)
- Sonu Yadav
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Adam J Stow
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Rachael Y Dudaniec
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia
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28
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Aoun N, Desaint H, Boyrie L, Bonhomme M, Deslandes L, Berthomé R, Roux F. A complex network of additive and epistatic quantitative trait loci underlies natural variation of Arabidopsis thaliana quantitative disease resistance to Ralstonia solanacearum under heat stress. MOLECULAR PLANT PATHOLOGY 2020; 21:1405-1420. [PMID: 32914940 PMCID: PMC7548995 DOI: 10.1111/mpp.12964] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 05/18/2020] [Accepted: 05/19/2020] [Indexed: 05/04/2023]
Abstract
Plant immunity is often negatively impacted by heat stress. However, the underlying molecular mechanisms remain poorly characterized. Based on a genome-wide association mapping approach, this study aims to identify in Arabidopsis thaliana the genetic bases of robust resistance mechanisms to the devastating pathogen Ralstonia solanacearum under heat stress. A local mapping population was phenotyped against the R. solanacearum GMI1000 strain at 27 and 30 °C. To obtain a precise description of the genetic architecture underlying natural variation of quantitative disease resistance (QDR), we applied a genome-wide local score analysis. Alongside an extensive genetic variation found in this local population at both temperatures, we observed a playful dynamics of quantitative trait loci along the infection stages. In addition, a complex genetic network of interacting loci could be detected at 30 °C. As a first step to investigate the underlying molecular mechanisms, the atypical meiotic cyclin SOLO DANCERS gene was validated by a reverse genetic approach as involved in QDR to R. solanacearum at 30 °C. In the context of climate change, the complex genetic architecture underlying QDR under heat stress in a local mapping population revealed candidate genes with diverse molecular functions.
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Affiliation(s)
- Nathalie Aoun
- LIPMUniversité de ToulouseINRAECNRSCastanet‐TolosanFrance
| | - Henri Desaint
- LIPMUniversité de ToulouseINRAECNRSCastanet‐TolosanFrance
- SYNGENTA seedsSarriansFrance
| | - Léa Boyrie
- LRSVUniversité de ToulouseCNRSUniversité Paul SabatierCastanet‐TolosanFrance
| | - Maxime Bonhomme
- LRSVUniversité de ToulouseCNRSUniversité Paul SabatierCastanet‐TolosanFrance
| | | | | | - Fabrice Roux
- LIPMUniversité de ToulouseINRAECNRSCastanet‐TolosanFrance
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29
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Anderson J, Song BH. Plant adaptation to climate change - Where are we? JOURNAL OF SYSTEMATICS AND EVOLUTION 2020; 58:533-545. [PMID: 33584833 PMCID: PMC7875155 DOI: 10.1111/jse.12649] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Climate change poses critical challenges for population persistence in natural communities, agriculture and environmental sustainability, and food security. In this review, we discuss recent progress in climatic adaptation in plants. We evaluate whether climate change exerts novel selection and disrupts local adaptation, whether gene flow can facilitate adaptive responses to climate change, and if adaptive phenotypic plasticity could sustain populations in the short term. Furthermore, we discuss how climate change influences species interactions. Through a more in-depth understanding of these eco-evolutionary dynamics, we will increase our capacity to predict the adaptive potential of plants under climate change. In addition, we review studies that dissect the genetic basis of plant adaptation to climate change. Finally, we highlight key research gaps, ranging from validating gene function, to elucidating molecular mechanisms, expanding research systems from model species to other natural species, testing the fitness consequences of alleles in natural environments, and designing multifactorial studies that more closely reflect the complex and interactive effects of multiple climate change factors. By leveraging interdisciplinary tools (e.g., cutting-edge omics toolkits, novel ecological strategies, newly-developed genome editing technology), researchers can more accurately predict the probability that species can persist through this rapid and intense period of environmental change, as well as cultivate crops to withstand climate change, and conserve biodiversity in natural systems.
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Affiliation(s)
- Jill Anderson
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
- Authors for correspondence. Bao-Hua Song. ; Jill Anderson.
| | - Bao-Hua Song
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
- Authors for correspondence. Bao-Hua Song. ; Jill Anderson.
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30
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Natural variation at FLM splicing has pleiotropic effects modulating ecological strategies in Arabidopsis thaliana. Nat Commun 2020; 11:4140. [PMID: 32811829 PMCID: PMC7435183 DOI: 10.1038/s41467-020-17896-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 07/16/2020] [Indexed: 01/06/2023] Open
Abstract
Investigating the evolution of complex phenotypes and the underlying molecular bases of their variation is critical to understand how organisms adapt to their environment. Applying classical quantitative genetics on a segregating population derived from a Can-0xCol-0 cross, we identify the MADS-box transcription factor FLOWERING LOCUS M (FLM) as a player of the phenotypic variation in plant growth and color. We show that allelic variation at FLM modulates plant growth strategy along the leaf economics spectrum, a trade-off between resource acquisition and resource conservation, observable across thousands of plant species. Functional differences at FLM rely on a single intronic substitution, disturbing transcript splicing and leading to the accumulation of non-functional FLM transcripts. Associations between this substitution and phenotypic and climatic data across Arabidopsis natural populations, show how noncoding genetic variation at a single gene might be adaptive through pleiotropic effects. FLOWERING LOCUS M (FLM) is known as a repressor of Arabidopsis flowering. Here, the authors show that a single intronic substitution of FLM modulates leaf color and plant growth strategy along the leaf economics spectrum, as well as plays a role in plant adaptation.
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31
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Castilla AR, Méndez-Vigo B, Marcer A, Martínez-Minaya J, Conesa D, Picó FX, Alonso-Blanco C. Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana. BMC Evol Biol 2020; 20:71. [PMID: 32571210 PMCID: PMC7310121 DOI: 10.1186/s12862-020-01635-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 06/01/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, is an important asset for the ability of populations to adapt and persist in changing environments. We tested three major hypotheses accounting for genetic differentiation-isolation-by-distance (IBD), isolation-by-environment (IBE) and isolation-by-resistance (IBR)-in the annual plant Arabidopsis thaliana across the Iberian Peninsula, the region with the largest genomic diversity. To that end, we sampled, genotyped with genome-wide SNPs, and analyzed 1772 individuals from 278 populations distributed across the Iberian Peninsula. RESULTS IBD, and to a lesser extent IBE, were the most important drivers of genetic differentiation in A. thaliana. In other words, dispersal limitation, genetic drift, and to a lesser extent local adaptation to environmental gradients, accounted for the within- and among-population distribution of genetic diversity. Analyses applied to the four Iberian genetic clusters, which represent the joint outcome of the long demographic and adaptive history of the species in the region, showed similar results except for one cluster, in which IBR (a function of landscape heterogeneity) was the most important driver of genetic differentiation. Using spatial hierarchical Bayesian models, we found that precipitation seasonality and topsoil pH chiefly accounted for the geographic distribution of genetic diversity in Iberian A. thaliana. CONCLUSIONS Overall, the interplay between the influence of precipitation seasonality on genetic diversity and the effect of restricted dispersal and genetic drift on genetic differentiation emerges as the major forces underlying the evolutionary trajectory of Iberian A. thaliana.
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Affiliation(s)
- Antonio R Castilla
- Centre for Applied Ecology "Prof. Baeta Neves", InBIO, School of Agriculture, University of Lisbon, Lisbon, Portugal
- Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Belén Méndez-Vigo
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Arnald Marcer
- CREAF, Centre de Recerca Ecològica i Aplicacions Forestals, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain
- Universitat Autònoma de Barcelona, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain
| | | | - David Conesa
- Departament d'Estadística i Investigació Operativa, Universitat de València, Valencia, Spain
| | - F Xavier Picó
- Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain.
| | - Carlos Alonso-Blanco
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
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32
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Knowledge status and sampling strategies to maximize cost-benefit ratio of studies in landscape genomics of wild plants. Sci Rep 2020; 10:3706. [PMID: 32111897 PMCID: PMC7048820 DOI: 10.1038/s41598-020-60788-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 02/11/2020] [Indexed: 11/27/2022] Open
Abstract
To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome–environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
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33
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Price N, Lopez L, Platts AE, Lasky JR. In the presence of population structure: From genomics to candidate genes underlying local adaptation. Ecol Evol 2020; 10:1889-1904. [PMID: 32128123 DOI: 10.1101/642306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 05/26/2023] Open
Abstract
Understanding the genomic signatures, genes, and traits underlying local adaptation of organisms to heterogeneous environments is of central importance to the field evolutionary biology. To identify loci underlying local adaptation, models that combine allelic and environmental variation while controlling for the effects of population structure have emerged as the method of choice. Despite being evaluated in simulation studies, there has not been a thorough investigation of empirical evidence supporting local adaptation across these alleles. To evaluate these methods, we use 875 Arabidopsis thaliana Eurasian accessions and two mixed models (GEMMA and LFMM) to identify candidate SNPs underlying local adaptation to climate. Subsequently, to assess evidence of local adaptation and function among significant SNPs, we examine allele frequency differentiation and recent selection across Eurasian populations, in addition to their distribution along quantitative trait loci (QTL) explaining fitness variation between Italy and Sweden populations and cis-regulatory/nonsynonymous sites showing significant selective constraint. Our results indicate that significant LFMM/GEMMA SNPs show low allele frequency differentiation and linkage disequilibrium across locally adapted Italy and Sweden populations, in addition to a poor association with fitness QTL peaks (highest logarithm of odds score). Furthermore, when examining derived allele frequencies across the Eurasian range, we find that these SNPs are enriched in low-frequency variants that show very large climatic differentiation but low levels of linkage disequilibrium. These results suggest that their enrichment along putative functional sites most likely represents deleterious variation that is independent of local adaptation. Among all the genomic signatures examined, only SNPs showing high absolute allele frequency differentiation (AFD) and linkage disequilibrium (LD) between Italy and Sweden populations showed a strong association with fitness QTL peaks and were enriched along selectively constrained cis-regulatory/nonsynonymous sites. Using these SNPs, we find strong evidence linking flowering time, freezing tolerance, and the abscisic-acid pathway to local adaptation.
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Affiliation(s)
- Nicholas Price
- Department of Bioagricultural Sciences & Pest Management Colorado State University Fort Collins CO USA
- Department of Biological Sciences University of Cyprus Nicosia Cyprus
| | - Lua Lopez
- Department of Biology Binghamton University (State University of New York) Binghamton NY USA
| | - Adrian E Platts
- Simons Center for Quantitative Biology Cold Spring Harbor Laboratory Cold Spring Harbor NY USA
- Department of Biology Center for Genomics and Systems Biology New York University New York NY USA
| | - Jesse R Lasky
- Department of Biology Pennsylvania State University University Park PA USA
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34
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Price N, Lopez L, Platts AE, Lasky JR. In the presence of population structure: From genomics to candidate genes underlying local adaptation. Ecol Evol 2020; 10:1889-1904. [PMID: 32128123 PMCID: PMC7042746 DOI: 10.1002/ece3.6002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 12/25/2022] Open
Abstract
Understanding the genomic signatures, genes, and traits underlying local adaptation of organisms to heterogeneous environments is of central importance to the field evolutionary biology. To identify loci underlying local adaptation, models that combine allelic and environmental variation while controlling for the effects of population structure have emerged as the method of choice. Despite being evaluated in simulation studies, there has not been a thorough investigation of empirical evidence supporting local adaptation across these alleles. To evaluate these methods, we use 875 Arabidopsis thaliana Eurasian accessions and two mixed models (GEMMA and LFMM) to identify candidate SNPs underlying local adaptation to climate. Subsequently, to assess evidence of local adaptation and function among significant SNPs, we examine allele frequency differentiation and recent selection across Eurasian populations, in addition to their distribution along quantitative trait loci (QTL) explaining fitness variation between Italy and Sweden populations and cis-regulatory/nonsynonymous sites showing significant selective constraint. Our results indicate that significant LFMM/GEMMA SNPs show low allele frequency differentiation and linkage disequilibrium across locally adapted Italy and Sweden populations, in addition to a poor association with fitness QTL peaks (highest logarithm of odds score). Furthermore, when examining derived allele frequencies across the Eurasian range, we find that these SNPs are enriched in low-frequency variants that show very large climatic differentiation but low levels of linkage disequilibrium. These results suggest that their enrichment along putative functional sites most likely represents deleterious variation that is independent of local adaptation. Among all the genomic signatures examined, only SNPs showing high absolute allele frequency differentiation (AFD) and linkage disequilibrium (LD) between Italy and Sweden populations showed a strong association with fitness QTL peaks and were enriched along selectively constrained cis-regulatory/nonsynonymous sites. Using these SNPs, we find strong evidence linking flowering time, freezing tolerance, and the abscisic-acid pathway to local adaptation.
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Affiliation(s)
- Nicholas Price
- Department of Bioagricultural Sciences & Pest ManagementColorado State UniversityFort CollinsCOUSA
- Department of Biological SciencesUniversity of CyprusNicosiaCyprus
| | - Lua Lopez
- Department of BiologyBinghamton University (State University of New York)BinghamtonNYUSA
| | - Adrian E. Platts
- Simons Center for Quantitative BiologyCold Spring Harbor LaboratoryCold Spring HarborNYUSA
- Department of BiologyCenter for Genomics and Systems BiologyNew York UniversityNew YorkNYUSA
| | - Jesse R. Lasky
- Department of BiologyPennsylvania State UniversityUniversity ParkPAUSA
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Cost-effective detection of genome-wide signatures for 2,4-D herbicide resistance adaptation in red clover. Sci Rep 2019; 9:20037. [PMID: 31882573 PMCID: PMC6934753 DOI: 10.1038/s41598-019-55676-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 11/26/2019] [Indexed: 12/04/2022] Open
Abstract
Herbicide resistance is a recurrent evolutionary event that has been reported across many species and for all major herbicide modes of action. The synthetic auxinic herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) has been widely used since the 1940s, however the genetic variation underlying naturally evolving resistance remains largely unknown. In this study, we used populations of the forage legume crop red clover (Trifolium pratense L.) that were recurrently selected for 2,4-D resistance to detect genome-wide signatures of adaptation. Four susceptible and six derived resistant populations were sequenced using a less costly approach by combining targeted sequencing (Capture-Seq) with pooled individuals (Pool-Seq). Genomic signatures of selection were identified using: (i) pairwise allele frequency differences; (ii) genome scan for overly differentiated loci; and (iii) genome‐wide association. Fifty significant SNPs were consistently detected, most located in a single chromosome, which can be useful for marker assisted selection. Additionally, we searched for candidate genes at these genomic regions to gain insights into potential molecular mechanisms underlying 2,4-D resistance. Among the predicted functions of candidate genes, we found some related to the auxin metabolism, response to oxidative stress, and detoxification, which are also promising for further functional validation studies.
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36
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Temperature and Rainfall Are Separate Agents of Selection Shaping Population Differentiation in a Forest Tree. FORESTS 2019. [DOI: 10.3390/f10121145] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Research highlights: We present evidence indicating that covariation of functional traits among populations of a forest tree is not due to genetic constraints, but rather selective covariance arising from local adaptation to different facets of the climate, namely rainfall and temperature. Background and Aims: Traits frequently covary among natural populations. Such covariation can be caused by pleiotropy and/or linkage disequilibrium, but also may arise when the traits are genetically independent as a direct consequence of natural selection, drift, mutation and/or gene flow. Of particular interest are cases of selective covariance, where natural selection directly generates among-population covariance in a set of genetically independent traits. We here studied the causes of population-level covariation in two key traits in the Australian tree Eucalyptus pauciflora. Materials and Methods: We studied covariation in seedling lignotuber size and vegetative juvenility using 37 populations sampled from throughout the geographic and ecological ranges of E. pauciflora on the island of Tasmania. We integrated evidence from multiple sources: (i) comparison of patterns of trait covariation within and among populations; (ii) climate-trait modelling using machine-learning algorithms; and (iii) selection analysis linking trait variation to field growth in an arid environment. Results: We showed strong covariation among populations compared with the weak genetic correlation within populations for the focal traits. Population differentiation in these genetically independent traits was correlated with different home-site climate variables (lignotuber size with temperature; vegetative juvenility with rainfall), which spatially covaried. The role of selection in shaping the population differentiation in lignotuber size was supported by its relationship with fitness measured in the field. Conclusions: Our study highlights the multi-trait nature of adaptation likely to occur as tree species respond to spatial and temporal changes in climate.
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Flori L, Moazami-Goudarzi K, Alary V, Araba A, Boujenane I, Boushaba N, Casabianca F, Casu S, Ciampolini R, Coeur D'Acier A, Coquelle C, Delgado JV, El-Beltagi A, Hadjipavlou G, Jousselin E, Landi V, Lauvie A, Lecomte P, Ligda C, Marinthe C, Martinez A, Mastrangelo S, Menni D, Moulin CH, Osman MA, Pineau O, Portolano B, Rodellar C, Saïdi-Mehtar N, Sechi T, Sempéré G, Thévenon S, Tsiokos D, Laloë D, Gautier M. A genomic map of climate adaptation in Mediterranean cattle breeds. Mol Ecol 2019; 28:1009-1029. [PMID: 30593690 DOI: 10.1111/mec.15004] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 12/21/2018] [Accepted: 12/21/2018] [Indexed: 12/12/2022]
Abstract
Domestic species such as cattle (Bos taurus taurus and B. t. indicus) represent attractive biological models to characterize the genetic basis of short-term evolutionary response to climate pressure induced by their post-domestication history. Here, using newly generated dense SNP genotyping data, we assessed the structuring of genetic diversity of 21 autochtonous cattle breeds from the whole Mediterranean basin and performed genome-wide association analyses with covariables discriminating the different Mediterranean climate subtypes. This provided insights into both the demographic and adaptive histories of Mediterranean cattle. In particular, a detailed functional annotation of genes surrounding variants associated with climate variations highlighted several biological functions involved in Mediterranean climate adaptation such as thermotolerance, UV protection, pathogen resistance or metabolism with strong candidate genes identified (e.g., NDUFB3, FBN1, METTL3, LEF1, ANTXR2 and TCF7). Accordingly, our results suggest that main selective pressures affecting cattle in Mediterranean area may have been related to variation in heat and UV exposure, in food resources availability and in exposure to pathogens, such as anthrax bacteria (Bacillus anthracis). Furthermore, the observed contribution of the three main bovine ancestries (indicine, European and African taurine) in these different populations suggested that adaptation to local climate conditions may have either relied on standing genomic variation of taurine origin, or adaptive introgression from indicine origin, depending on the local breed origins. Taken together, our results highlight the genetic uniqueness of local Mediterranean cattle breeds and strongly support conservation of these populations.
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Affiliation(s)
- Laurence Flori
- SELMET, INRA, CIRAD, University of Montpellier, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | | | - Véronique Alary
- SELMET, INRA, CIRAD, University of Montpellier, Montpellier SupAgro, University of Montpellier, Montpellier, France.,CIRAD, UMR SELMET, ICARDA, Rabat, Morocco
| | - Abdelillah Araba
- Institut Agronomique et Vétérinaire Hassan II, Département de Productions et de Biotechnologies Animales, Rabat, Morocco
| | - Ismaïl Boujenane
- Institut Agronomique et Vétérinaire Hassan II, Département de Productions et de Biotechnologies Animales, Rabat, Morocco
| | - Nadjet Boushaba
- Université d'Oran "Mohamed Boudiaf", Département de Génétique Moléculaire Appliquée, Oran, Algeria
| | | | - Sara Casu
- Agris-Sardegna Servizio Ricerca per la Zootecnica, Olmedo, Italy
| | | | | | | | | | | | | | | | - Vincenzo Landi
- Animal Breeding Consulting SL, Laboratorio de Genetica Molecular Aplicada, Cordoba, Spain
| | - Anne Lauvie
- SELMET, INRA, CIRAD, University of Montpellier, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Philippe Lecomte
- SELMET, INRA, CIRAD, University of Montpellier, Montpellier SupAgro, University of Montpellier, Montpellier, France.,CIRAD, UMR SELMET, Montpellier, France
| | - Christina Ligda
- HAO-Demeter, Veterinary Research Institute, Thessaloniki, Greece
| | | | - Amparo Martinez
- Animal Breeding Consulting SL, Laboratorio de Genetica Molecular Aplicada, Cordoba, Spain
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, Università degli Studi di Palermo, Palermo, Italy
| | - Dalal Menni
- Institut Agronomique et Vétérinaire Hassan II, Département de Productions et de Biotechnologies Animales, Rabat, Morocco
| | - Charles-Henri Moulin
- SELMET, INRA, CIRAD, University of Montpellier, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | | | | | - Baldassare Portolano
- Dipartimento Scienze Agrarie, Alimentari e Forestali, Università degli Studi di Palermo, Palermo, Italy
| | - Clementina Rodellar
- LAGENBIO, Facultad de Veterinaria, Instituto Agroalimentario de Aragón-IA2, Universidad de Zaragoza-CITA, Zaragoza, Spain
| | - Nadhira Saïdi-Mehtar
- Université d'Oran "Mohamed Boudiaf", Département de Génétique Moléculaire Appliquée, Oran, Algeria
| | - Tiziana Sechi
- Agris-Sardegna Servizio Ricerca per la Zootecnica, Olmedo, Italy
| | - Guilhem Sempéré
- INTERTRYP, University of Montpellier, CIRAD, IRD, Montpellier, France.,CIRAD, UMR INTERTRYP, Montpellier, France
| | - Sophie Thévenon
- INTERTRYP, University of Montpellier, CIRAD, IRD, Montpellier, France.,CIRAD, UMR INTERTRYP, Montpellier, France
| | | | - Denis Laloë
- GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Mathieu Gautier
- CBGP, INRA, CIRAD, IRD, University of Montpellier, Montferrier-sur-Lez, France.,Institut de Biologie Computationnelle (IBC), Montpellier, France
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Khokhar W, Hassan MA, Reddy ASN, Chaudhary S, Jabre I, Byrne LJ, Syed NH. Genome-Wide Identification of Splicing Quantitative Trait Loci (sQTLs) in Diverse Ecotypes of Arabidopsis thaliana. FRONTIERS IN PLANT SCIENCE 2019; 10:1160. [PMID: 31632417 PMCID: PMC6785726 DOI: 10.3389/fpls.2019.01160] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 08/26/2019] [Indexed: 05/27/2023]
Abstract
Alternative splicing (AS) of pre-mRNAs contributes to transcriptome diversity and enables plants to generate different protein isoforms from a single gene and/or fine-tune gene expression during different development stages and environmental changes. Although AS is pervasive, the genetic basis for differential isoform usage in plants is still emerging. In this study, we performed genome-wide analysis in 666 geographically distributed diverse ecotypes of Arabidopsis thaliana to identify genomic regions [splicing quantitative trait loci (sQTLs)] that may regulate differential AS. These ecotypes belong to different microclimatic conditions and are part of the relict and non-relict populations. Although sQTLs were spread across the genome, we observed enrichment for trans-sQTL (trans-sQTLs hotspots) on chromosome one. Furthermore, we identified several sQTL (911) that co-localized with trait-linked single nucleotide polymorphisms (SNP) identified in the Arabidopsis genome-wide association studies (AraGWAS). Many sQTLs were enriched among circadian clock, flowering, and stress-responsive genes, suggesting a role for differential isoform usage in regulating these important processes in diverse ecotypes of Arabidopsis. In conclusion, the current study provides a deep insight into SNPs affecting isoform ratios/genes and facilitates a better mechanistic understanding of trait-associated SNPs in GWAS studies. To the best of our knowledge, this is the first report of sQTL analysis in a large set of Arabidopsis ecotypes and can be used as a reference to perform sQTL analysis in the Brassicaceae family. Since whole genome and transcriptome datasets are available for these diverse ecotypes, it could serve as a powerful resource for the biological interpretation of trait-associated loci, splice isoform ratios, and their phenotypic consequences to help produce more resilient and high yield crop varieties.
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Affiliation(s)
- Waqas Khokhar
- School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
| | - Musa A. Hassan
- Division of Infection and Immunity, The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Tropical Livestock Genetics and Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Anireddy S. N. Reddy
- Department of Biology and Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO, United States
| | - Saurabh Chaudhary
- School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
| | - Ibtissam Jabre
- School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
| | - Lee J. Byrne
- School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
| | - Naeem H. Syed
- School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
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Hradilová I, Duchoslav M, Brus J, Pechanec V, Hýbl M, Kopecký P, Smržová L, Štefelová N, Vaclávek T, Bariotakis M, Machalová J, Hron K, Pirintsos S, Smýkal P. Variation in wild pea ( Pisum sativum subsp. elatius) seed dormancy and its relationship to the environment and seed coat traits. PeerJ 2019; 7:e6263. [PMID: 30656074 PMCID: PMC6336014 DOI: 10.7717/peerj.6263] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 12/11/2018] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Seed germination is one of the earliest key events in the plant life cycle. The timing of transition from seed to seedling is an important developmental stage determining the survival of individuals that influences the status of populations and species. Because of wide geographical distribution and occurrence in diverse habitats, wild pea (Pisum sativum subsp. elatius) offers an excellent model to study physical type of seed dormancy in an ecological context. This study addresses the gap in knowledge of association between the seed dormancy, seed properties and environmental factors, experimentally testing oscillating temperature as dormancy release clue. METHODS Seeds of 97 pea accessions were subjected to two germination treatments (oscillating temperatures of 25/15 °C and 35/15 °C) over 28 days. Germination pattern was described using B-spline coefficients that aggregate both final germination and germination speed. Relationships between germination pattern and environmental conditions at the site of origin (soil and bioclimatic variables extracted from WorldClim 2.0 and SoilGrids databases) were studied using principal component analysis, redundancy analysis and ecological niche modelling. Seeds were analyzed for the seed coat thickness, seed morphology, weight and content of proanthocyanidins (PA). RESULTS Seed total germination ranged from 0% to 100%. Cluster analysis of germination patterns of seeds under two temperature treatments differentiated the accessions into three groups: (1) non-dormant (28 accessions, mean germination of 92%), (2) dormant at both treatments (29 acc., 15%) and (3) responsive to increasing temperature range (41 acc., with germination change from 15 to 80%). Seed coat thickness differed between groups with dormant and responsive accessions having thicker testa (median 138 and 140 µm) than non-dormant ones (median 84 mm). The total PA content showed to be higher in the seed coat of dormant (mean 2.18 mg g-1) than those of non-dormant (mean 1.77 mg g-1) and responsive accessions (mean 1.87 mg g-1). Each soil and bioclimatic variable and also germination responsivity (representing synthetic variable characterizing germination pattern of seeds) was spatially clustered. However, only one environmental variable (BIO7, i.e., annual temperature range) was significantly related to germination responsivity. Non-dormant and responsive accessions covered almost whole range of BIO7 while dormant accessions are found in the environment with higher annual temperature, smaller temperature variation, seasonality and milder winter. Ecological niche modelling showed a more localized potential distribution of dormant group. Seed dormancy in the wild pea might be part of a bet-hedging mechanism for areas of the Mediterranean basin with more unpredictable water availability in an otherwise seasonal environment. This study provides the framework for analysis of environmental aspects of physical seed dormancy.
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Affiliation(s)
- Iveta Hradilová
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Martin Duchoslav
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jan Brus
- Department of Geoinformatics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Vilém Pechanec
- Department of Geoinformatics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Miroslav Hýbl
- The Centre of the Region Haná for Biotechnological and Agricultural Research, Crop Research Institute, Prague, Olomouc, Czech Republic
| | - Pavel Kopecký
- The Centre of the Region Haná for Biotechnological and Agricultural Research, Crop Research Institute, Prague, Olomouc, Czech Republic
| | - Lucie Smržová
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Nikola Štefelová
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Tadeáš Vaclávek
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Michael Bariotakis
- Department of Biology and Botanical Garden, University of Crete, Heraklion, Greece
| | - Jitka Machalová
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Karel Hron
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Stergios Pirintsos
- Department of Biology and Botanical Garden, University of Crete, Heraklion, Greece
| | - Petr Smýkal
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
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40
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Taylor MA, Cooper MD, Schmitt J. Phenological and fitness responses to climate warming depend upon genotype and competitive neighbourhood in
Arabidopsis thaliana. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13262] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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41
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Hradilová I, Duchoslav M, Brus J, Pechanec V, Hýbl M, Kopecký P, Smržová L, Štefelová N, Vaclávek T, Bariotakis M, Machalová J, Hron K, Pirintsos S, Smýkal P. Variation in wild pea ( Pisum sativum subsp. elatius) seed dormancy and its relationship to the environment and seed coat traits. PeerJ 2019; 7:e6263. [PMID: 30656074 DOI: 10.7717/peerj6263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 12/11/2018] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Seed germination is one of the earliest key events in the plant life cycle. The timing of transition from seed to seedling is an important developmental stage determining the survival of individuals that influences the status of populations and species. Because of wide geographical distribution and occurrence in diverse habitats, wild pea (Pisum sativum subsp. elatius) offers an excellent model to study physical type of seed dormancy in an ecological context. This study addresses the gap in knowledge of association between the seed dormancy, seed properties and environmental factors, experimentally testing oscillating temperature as dormancy release clue. METHODS Seeds of 97 pea accessions were subjected to two germination treatments (oscillating temperatures of 25/15 °C and 35/15 °C) over 28 days. Germination pattern was described using B-spline coefficients that aggregate both final germination and germination speed. Relationships between germination pattern and environmental conditions at the site of origin (soil and bioclimatic variables extracted from WorldClim 2.0 and SoilGrids databases) were studied using principal component analysis, redundancy analysis and ecological niche modelling. Seeds were analyzed for the seed coat thickness, seed morphology, weight and content of proanthocyanidins (PA). RESULTS Seed total germination ranged from 0% to 100%. Cluster analysis of germination patterns of seeds under two temperature treatments differentiated the accessions into three groups: (1) non-dormant (28 accessions, mean germination of 92%), (2) dormant at both treatments (29 acc., 15%) and (3) responsive to increasing temperature range (41 acc., with germination change from 15 to 80%). Seed coat thickness differed between groups with dormant and responsive accessions having thicker testa (median 138 and 140 µm) than non-dormant ones (median 84 mm). The total PA content showed to be higher in the seed coat of dormant (mean 2.18 mg g-1) than those of non-dormant (mean 1.77 mg g-1) and responsive accessions (mean 1.87 mg g-1). Each soil and bioclimatic variable and also germination responsivity (representing synthetic variable characterizing germination pattern of seeds) was spatially clustered. However, only one environmental variable (BIO7, i.e., annual temperature range) was significantly related to germination responsivity. Non-dormant and responsive accessions covered almost whole range of BIO7 while dormant accessions are found in the environment with higher annual temperature, smaller temperature variation, seasonality and milder winter. Ecological niche modelling showed a more localized potential distribution of dormant group. Seed dormancy in the wild pea might be part of a bet-hedging mechanism for areas of the Mediterranean basin with more unpredictable water availability in an otherwise seasonal environment. This study provides the framework for analysis of environmental aspects of physical seed dormancy.
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Affiliation(s)
- Iveta Hradilová
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Martin Duchoslav
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jan Brus
- Department of Geoinformatics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Vilém Pechanec
- Department of Geoinformatics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Miroslav Hýbl
- The Centre of the Region Haná for Biotechnological and Agricultural Research, Crop Research Institute, Prague, Olomouc, Czech Republic
| | - Pavel Kopecký
- The Centre of the Region Haná for Biotechnological and Agricultural Research, Crop Research Institute, Prague, Olomouc, Czech Republic
| | - Lucie Smržová
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
| | - Nikola Štefelová
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Tadeáš Vaclávek
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Michael Bariotakis
- Department of Biology and Botanical Garden, University of Crete, Heraklion, Greece
| | - Jitka Machalová
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Karel Hron
- Department of Mathematical Analysis and Applications of Mathematics, Palacký University Olomouc, Olomouc, Czech Republic
| | - Stergios Pirintsos
- Department of Biology and Botanical Garden, University of Crete, Heraklion, Greece
| | - Petr Smýkal
- Department of Botany, Palacký University Olomouc, Olomouc, Czech Republic
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Vaid N, Laitinen RAE. Diverse paths to hybrid incompatibility in Arabidopsis. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:199-213. [PMID: 30098060 DOI: 10.1111/tpj.14061] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 08/02/2018] [Accepted: 08/08/2018] [Indexed: 05/28/2023]
Abstract
One of the most essential questions of biology is to understand how different species have evolved. Hybrid incompatibility, a phenomenon in which hybrids show reduced fitness in comparison with their parents, can result in reproductive isolation and speciation. Therefore, studying hybrid incompatibility provides an entry point in understanding speciation. Hybrid incompatibilities are known throughout taxa, and the underlying mechanisms have mystified scientists since the theory of evolution by means of natural selection was introduced. In plants, it is only in recent years that the high-throughput genetic and molecular tools have become available for the Arabidopsis genus, thus helping to shed light on the different genes and molecular and evolutionary mechanisms that underlie hybrid incompatibilities. In this review, we highlight the current knowledge of diverse mechanisms that are known to contribute to hybrid incompatibility.
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Affiliation(s)
- Neha Vaid
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Germany
| | - Roosa A E Laitinen
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Germany
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