101
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Within-Generation Polygenic Selection Shapes Fitness-Related Traits across Environments in Juvenile Sea Bream. Genes (Basel) 2020; 11:genes11040398. [PMID: 32272597 PMCID: PMC7231164 DOI: 10.3390/genes11040398] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 04/02/2020] [Accepted: 04/04/2020] [Indexed: 12/20/2022] Open
Abstract
Understanding the genetic underpinnings of fitness trade-offs across spatially variable environments remains a major challenge in evolutionary biology. In Mediterranean gilthead sea bream, first-year juveniles use various marine and brackish lagoon nursery habitats characterized by a trade-off between food availability and environmental disturbance. Phenotypic differences among juveniles foraging in different habitats rapidly appear after larval settlement, but the relative role of local selection and plasticity in phenotypic variation remains unclear. Here, we combine phenotypic and genetic data to address this question. We first report correlations of opposite signs between growth and condition depending on juvenile habitat type. Then, we use single nucleotide polymorphism (SNP) data obtained by Restriction Associated DNA (RAD) sequencing to search for allele frequency changes caused by a single generation of spatially varying selection between habitats. We found evidence for moderate selection operating at multiple loci showing subtle allele frequency shifts between groups of marine and brackish juveniles. We identified subsets of candidate outlier SNPs that, in interaction with habitat type, additively explain up to 3.8% of the variance in juvenile growth and 8.7% in juvenile condition; these SNPs also explained significant fraction of growth rate in an independent larval sample. Our results indicate that selective mortality across environments during early-life stages involves complex trade-offs between alternative growth strategies.
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102
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Ogura T, Goeschl C, Filiault D, Mirea M, Slovak R, Wolhrab B, Satbhai SB, Busch W. Root System Depth in Arabidopsis Is Shaped by EXOCYST70A3 via the Dynamic Modulation of Auxin Transport. Cell 2020; 178:400-412.e16. [PMID: 31299202 DOI: 10.1016/j.cell.2019.06.021] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/12/2019] [Accepted: 06/11/2019] [Indexed: 12/11/2022]
Abstract
Root system architecture (RSA), the distribution of roots in soil, plays a major role in plant survival. RSA is shaped by multiple developmental processes that are largely governed by the phytohormone auxin, suggesting that auxin regulates responses of roots that are important for local adaptation. However, auxin has a central role in numerous processes, and it is unclear which molecular mechanisms contribute to the variation in RSA for environmental adaptation. Using natural variation in Arabidopsis, we identify EXOCYST70A3 as a modulator of the auxin system that causes variation in RSA by acting on PIN4 protein distribution. Allelic variation and genetic perturbation of EXOCYST70A3 lead to alteration of root gravitropic responses, resulting in a different RSA depth profile and drought resistance. Overall our findings suggest that the local modulation of the pleiotropic auxin pathway can gives rise to distinct RSAs that can be adaptive in specific environments.
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Affiliation(s)
- Takehiko Ogura
- Plant Molecular and Cellular Biology Laboratory, and Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Christian Goeschl
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Daniele Filiault
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Madalina Mirea
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Radka Slovak
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Bonnie Wolhrab
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Santosh B Satbhai
- Plant Molecular and Cellular Biology Laboratory, and Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Wolfgang Busch
- Plant Molecular and Cellular Biology Laboratory, and Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria.
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103
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De La Torre AR, Wilhite B, Neale DB. Environmental Genome-Wide Association Reveals Climate Adaptation Is Shaped by Subtle to Moderate Allele Frequency Shifts in Loblolly Pine. Genome Biol Evol 2020; 11:2976-2989. [PMID: 31599932 PMCID: PMC6821164 DOI: 10.1093/gbe/evz220] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2019] [Indexed: 01/21/2023] Open
Abstract
Understanding the genomic basis of local adaptation is crucial to determine the potential of long-lived woody species to withstand changes in their natural environment. In the past, efforts to dissect the genomic architecture in gymnosperms species have been limited due to the absence of reference genomes. Recently, the genomes of some commercially important conifers, such as loblolly pine, have become available, allowing whole-genome studies of these species. In this study, we test for associations between 87k SNPs, obtained from whole-genome resequencing of loblolly pine individuals, and 270 environmental variables and combinations of them. We determine the geographic location of significant loci and identify their genomic location using our newly constructed ultradense 26k SNP linkage map. We found that water availability is the main climatic variable shaping local adaptation of the species, and found 821 SNPs showing significant associations with climatic variables or combinations of them based on the consistent results of three different genotype–environment association methods. Our results suggest that adaptation to climate in the species might have occurred by many changes in the frequency of alleles with moderate to small effect sizes, and by the smaller contribution of large effect alleles in genes related to moisture deficit, temperature and precipitation. Genomic regions of low recombination and high population differentiation harbored SNPs associated with groups of environmental variables, suggesting climate adaptation might have evolved as a result of different selection pressures acting on groups of genes associated with an aspect of climate rather than on individual environmental variables.
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Affiliation(s)
| | | | - David B Neale
- Department of Plant Sciences, University of California-Davis
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104
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Evaluation of Seven Different RNA-Seq Alignment Tools Based on Experimental Data from the Model Plant Arabidopsis thaliana. Int J Mol Sci 2020; 21:ijms21051720. [PMID: 32138290 PMCID: PMC7084517 DOI: 10.3390/ijms21051720] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 02/28/2020] [Accepted: 02/29/2020] [Indexed: 01/15/2023] Open
Abstract
Quantification of gene expression is crucial to connect genome sequences with phenotypic and physiological data. RNA-Sequencing (RNA-Seq) has taken a prominent role in the study of transcriptomic reactions of plants to various environmental and genetic perturbations. However, comparative tests of different tools for RNA-Seq read mapping and quantification have been mainly performed on data from animals or humans, which necessarily neglect, for example, the large genetic variability among natural accessions within plant species. Here, we compared seven computational tools for their ability to map and quantify Illumina single-end reads from the Arabidopsis thaliana accessions Columbia-0 (Col-0) and N14. Between 92.4% and 99.5% of all reads were mapped to the reference genome or transcriptome and the raw count distributions obtained from the different mappers were highly correlated. Using the software DESeq2 to determine differential gene expression (DGE) between plants exposed to 20 °C or 4 °C from these read counts showed a large pairwise overlap between the mappers. Interestingly, when the commercial CLC software was used with its own DGE module instead of DESeq2, strongly diverging results were obtained. All tested mappers provided highly similar results for mapping Illumina reads of two polymorphic Arabidopsis accessions to the reference genome or transcriptome and for the determination of DGE when the same software was used for processing.
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105
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Kaiser E, Walther D, Armbruster U. Growth under Fluctuating Light Reveals Large Trait Variation in a Panel of Arabidopsis Accessions. PLANTS (BASEL, SWITZERLAND) 2020; 9:E316. [PMID: 32138234 PMCID: PMC7154909 DOI: 10.3390/plants9030316] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 02/13/2020] [Accepted: 02/18/2020] [Indexed: 12/03/2022]
Abstract
The capacity of photoautotrophs to fix carbon depends on the efficiency of the conversion of light energy into chemical potential by photosynthesis. In nature, light input into photosynthesis can change very rapidly and dramatically. To analyze how genetic variation in Arabidopsis thaliana affects photosynthesis and growth under dynamic light conditions, 36 randomly chosen natural accessions were grown under uniform and fluctuating light intensities. After 14 days of growth under uniform or fluctuating light regimes, maximum photosystem II quantum efficiency (Fv/Fm) was determined, photosystem II operating efficiency (ΦPSII) and non-photochemical quenching (NPQ) were measured in low light, and projected leaf area (PLA) as well as the number of visible leaves were estimated. Our data show that ΦPSII and PLA were decreased and NPQ was increased, while Fv/Fm and number of visible leaves were unaffected, in most accessions grown under fluctuating compared to uniform light. There were large changes between accessions for most of these parameters, which, however, were not correlated with genomic variation. Fast growing accessions under uniform light showed the largest growth reductions under fluctuating light, which correlated strongly with a reduction in ΦPSII, suggesting that, under fluctuating light, photosynthesis controls growth and not vice versa.
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Affiliation(s)
- Elias Kaiser
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476 Potsdam, Germany;
- Horticulture and Product Physiology, Wageningen University, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - Dirk Walther
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476 Potsdam, Germany;
| | - Ute Armbruster
- Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476 Potsdam, Germany;
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106
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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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107
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Waldvogel A, Feldmeyer B, Rolshausen G, Exposito‐Alonso M, Rellstab C, Kofler R, Mock T, Schmid K, Schmitt I, Bataillon T, Savolainen O, Bergland A, Flatt T, Guillaume F, Pfenninger M. Evolutionary genomics can improve prediction of species' responses to climate change. Evol Lett 2020; 4:4-18. [PMID: 32055407 PMCID: PMC7006467 DOI: 10.1002/evl3.154] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 10/31/2019] [Accepted: 11/26/2019] [Indexed: 01/08/2023] Open
Abstract
Global climate change (GCC) increasingly threatens biodiversity through the loss of species, and the transformation of entire ecosystems. Many species are challenged by the pace of GCC because they might not be able to respond fast enough to changing biotic and abiotic conditions. Species can respond either by shifting their range, or by persisting in their local habitat. If populations persist, they can tolerate climatic changes through phenotypic plasticity, or genetically adapt to changing conditions depending on their genetic variability and census population size to allow for de novo mutations. Otherwise, populations will experience demographic collapses and species may go extinct. Current approaches to predicting species responses to GCC begin to combine ecological and evolutionary information for species distribution modelling. Including an evolutionary dimension will substantially improve species distribution projections which have not accounted for key processes such as dispersal, adaptive genetic change, demography, or species interactions. However, eco-evolutionary models require new data and methods for the estimation of a species' adaptive potential, which have so far only been available for a small number of model species. To represent global biodiversity, we need to devise large-scale data collection strategies to define the ecology and evolutionary potential of a broad range of species, especially of keystone species of ecosystems. We also need standardized and replicable modelling approaches that integrate these new data to account for eco-evolutionary processes when predicting the impact of GCC on species' survival. Here, we discuss different genomic approaches that can be used to investigate and predict species responses to GCC. This can serve as guidance for researchers looking for the appropriate experimental setup for their particular system. We furthermore highlight future directions for moving forward in the field and allocating available resources more effectively, to implement mitigation measures before species go extinct and ecosystems lose important functions.
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Affiliation(s)
- Ann‐Marie Waldvogel
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | - Barbara Feldmeyer
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | - Gregor Rolshausen
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
| | | | | | - Robert Kofler
- Institute of Population GeneticsVetmeduni ViennaAustria
| | - Thomas Mock
- School of Environmental SciencesUniversity of East AngliaNorwichUnited Kingdom
| | - Karl Schmid
- Institute of Plant Breeding, Seed Science and Population GeneticsUniversity of HohenheimStuttgartGermany
| | - Imke Schmitt
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
- Institute of Ecology, Evolution and DiversityGoethe‐UniversityFrankfurt am MainGermany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE‐TBG)Frankfurt am MainGermany
| | | | | | - Alan Bergland
- Department of BiologyUniversity of VirginiaCharlottesvilleVirginia
| | - Thomas Flatt
- Department of BiologyUniversity of FribourgFribourgSwitzerland
| | - Frederic Guillaume
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichZürichSwitzerland
| | - Markus Pfenninger
- Senckenberg Biodiversity and Climate Research CentreFrankfurt am MainGermany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE‐TBG)Frankfurt am MainGermany
- Institute for Organismic and Molecular EvolutionJohannes Gutenberg UniversityMainzGermany
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108
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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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109
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Murren CJ, Alt CHS, Kohler C, Sancho G. Natural variation on whole-plant form in the wild is influenced by multivariate soil nutrient characteristics: natural selection acts on root traits. AMERICAN JOURNAL OF BOTANY 2020; 107:319-328. [PMID: 32002983 DOI: 10.1002/ajb2.1420] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 09/23/2019] [Indexed: 05/22/2023]
Abstract
PREMISE In the complex soil nutrient environments of wild populations of annual plants, in general, low nutrient availability restricts growth and alters root-shoot relationships. However, our knowledge of natural selection on roots in field settings is limited. We sought to determine whether selection acts directly on root traits and to identify which components of the soil environment were potential agents of selection. METHODS We studied wild native populations of Arabidopsis thaliana across 4 years, measuring aboveground and belowground traits and analyzing soil nutrients. Using multivariate methods, we examined patterns of natural selection and identified soil attributes that contributed to whole-plant form. In a common garden experiment at two field sites with contrasting soil texture, we examined patterns of selection on root and shoot traits. RESULTS In wild populations, we uncovered selection for above- and belowground size and architectural traits. We detected variation through time and identified soil components that influenced fruit production. In the garden experiment, we detected a distinct positive selection for total root length at the site with greater water-holding capacity and negative selection for measures of root architecture at the field site with reduced nutrient availability and water holding capacity. CONCLUSIONS Patterns of natural selection on belowground traits varied through time, across field sites and experimental gardens. Simultaneous investigations of above- and belowground traits reveal trait functional relationships on which natural selection can act, highlighting the influence of edaphic features on evolutionary processes in wild annual plant populations.
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Affiliation(s)
- Courtney J Murren
- Department of Biology, College of Charleston, Charleston, SC, 29424, USA
| | - Claudia H S Alt
- Department of Biology, College of Charleston, Charleston, SC, 29424, USA
- Department of Earth Sciences, University of Bristol, Bristol, UK
| | - Clare Kohler
- Department of Biology, College of Charleston, Charleston, SC, 29424, USA
- Environmental Sciences Initiative, CUNY ASRC, New York, NY, 10031, USA
| | - Gorka Sancho
- Department of Biology, College of Charleston, Charleston, SC, 29424, USA
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110
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Li Y, Li D, Jiao Y, Schnable JC, Li Y, Li H, Chen H, Hong H, Zhang T, Liu B, Liu Z, You Q, Tian Y, Guo Y, Guan R, Zhang L, Chang R, Zhang Z, Reif J, Zhou X, Schnable PS, Qiu L. Identification of loci controlling adaptation in Chinese soya bean landraces via a combination of conventional and bioclimatic GWAS. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:389-401. [PMID: 31278885 PMCID: PMC6953199 DOI: 10.1111/pbi.13206] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 06/24/2019] [Accepted: 07/02/2019] [Indexed: 05/22/2023]
Abstract
Landraces often contain genetic diversity that has been lost in modern cultivars, including alleles that confer enhanced local adaptation. To comprehensively identify loci associated with adaptive traits in soya bean landraces, for example flowering time, a population of 1938 diverse landraces and 97 accessions of the wild progenitor of cultivated soya bean, Glycine soja was genotyped using tGBS® . Based on 99 085 high-quality SNPs, landraces were classified into three sub-populations which exhibit geographical genetic differentiation. Clustering was inferred from STRUCTURE, principal component analyses and neighbour-joining tree analyses. Using phenotypic data collected at two locations separated by 10 degrees of latitude, 17 trait-associated SNPs (TASs) for flowering time were identified, including a stable locus Chr12:5914898 and previously undetected candidate QTL/genes for flowering time in the vicinity of the previously cloned flowering genes, E1 and E2. Using passport data associated with the collection sites of the landraces, 27 SNPs associated with adaptation to three bioclimatic variables (temperature, daylength, and precipitation) were identified. A series of candidate flowering genes were detected within linkage disequilibrium (LD) blocks surrounding 12 bioclimatic TASs. Nine of these TASs exhibit significant differences in flowering time between alleles within one or more of the three individual sub-populations. Signals of selection during domestication and/or subsequent landrace diversification and adaptation were detected at 38 of the 44 flowering and bioclimatic TASs. Hence, this study lays the groundwork to begin breeding for novel environments predicted to arise following global climate change.
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Affiliation(s)
- Ying‐hui Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Delin Li
- Data Biotech (Beijing) Co., Ltd.BeijingChina
- Department of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Yong‐qing Jiao
- Key Laboratory of Oil Crop Biology (MOA)Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhanChina
| | - James C. Schnable
- Data Biotech (Beijing) Co., Ltd.BeijingChina
- Departmentof Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNEUSA
- Data2Bio LLCAmesIAUSA
| | - Yan‐fei Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Hui‐hui Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Huai‐zhu Chen
- Guangxi Academy of Agricultural SciencesNanningChina
| | - Hui‐long Hong
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Ting Zhang
- Data Biotech (Beijing) Co., Ltd.BeijingChina
| | - Bin Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Zhang‐xiong Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Qing‐bo You
- Key Laboratory of Oil Crop Biology (MOA)Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhanChina
| | - Yu Tian
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yong Guo
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Rong‐xia Guan
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Li‐juan Zhang
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Ru‐zhen Chang
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Zhiwu Zhang
- Department of Crop and Soil SciencesWashington State UniversityPullmanWAUSA
| | - Jochen Reif
- Department of Breeding ResearchLeibniz Institute of Plant Genetics and Crop Plant Research (IPK)GaterslebenGermany
| | - Xin‐an Zhou
- Key Laboratory of Oil Crop Biology (MOA)Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhanChina
| | - Patrick S. Schnable
- Data Biotech (Beijing) Co., Ltd.BeijingChina
- Department of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
- Data2Bio LLCAmesIAUSA
- Department of AgronomyIowa State UniversityAmesIAUSA
| | - Li‐juan Qiu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Lab of Germplasm Utilization (MOA)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
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111
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Xiao G, Zhang Y. Adaptive Growth: Shaping Auxin-Mediated Root System Architecture. TRENDS IN PLANT SCIENCE 2020; 25:121-123. [PMID: 31843370 DOI: 10.1016/j.tplants.2019.12.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 11/21/2019] [Accepted: 12/02/2019] [Indexed: 05/28/2023]
Abstract
Root system architecture (RSA), governed by the phytohormone auxin, endows plants with an adaptive advantage in particular environments. Using geographically representative arabidopsis (Arabidopsis thaliana) accessions as a resource for GWA mapping, Waidmann et al. and Ogura et al. recently identified two novel components involved in modulating auxin-mediated RSA and conferring plant fitness in particular habitats.
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Affiliation(s)
- Guanghui Xiao
- Key Laboratory of the Ministry of Education for Medicinal Plant Resources and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in the Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, China; Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou 450001, China.
| | - Yuzhou Zhang
- Institute of Science and Technology (IST) Austria, 3400 Klosterneuburg, Austria.
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112
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DeLeo VL, Menge DNL, Hanks EM, Juenger TE, Lasky JR. Effects of two centuries of global environmental variation on phenology and physiology of Arabidopsis thaliana. GLOBAL CHANGE BIOLOGY 2020; 26:523-538. [PMID: 31665819 DOI: 10.1111/gcb.14880] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 09/28/2019] [Accepted: 10/07/2019] [Indexed: 06/10/2023]
Abstract
Intraspecific trait variation is caused by genetic and plastic responses to environment. This intraspecific diversity is captured in immense natural history collections, giving us a window into trait variation across continents and through centuries of environmental shifts. Here we tested if hypotheses based on life history and the leaf economics spectrum explain intraspecific trait changes across global spatiotemporal environmental gradients. We measured phenotypes on a 216-year time series of Arabidopsis thaliana accessions from across its native range and applied spatially varying coefficient models to quantify region-specific trends in trait coordination and trait responses to climate gradients. All traits exhibited significant change across space or through time. For example, δ15 N decreased over time across much of the range and leaf C:N increased, consistent with predictions based on anthropogenic changes in land use and atmosphere. Plants were collected later in the growing season in more recent years in many regions, possibly because populations shifted toward more spring germination and summer flowering as opposed to fall germination and spring flowering. When climate variables were considered, collection dates were earlier in warmer years, while summer rainfall had opposing associations with collection date depending on regions. There was only a modest correlation among traits, indicating a lack of a single life history/physiology axis. Nevertheless, leaf C:N was low for summer- versus spring-collected plants, consistent with a life history-physiology axis from slow-growing winter annuals to fast-growing spring/summer annuals. Regional heterogeneity in phenotype trends indicates complex responses to spatiotemporal environmental gradients potentially due to geographic genetic variation and climate interactions with other aspects of environment. Our study demonstrates how natural history collections can be used to broadly characterize trait responses to environment, revealing heterogeneity in response to anthropogenic change.
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Affiliation(s)
- Victoria L DeLeo
- Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA
| | - Duncan N L Menge
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, USA
| | - Ephraim M Hanks
- Department of Statistics, Pennsylvania State University, University Park, PA, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Jesse R Lasky
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, USA
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Earth Institute, Columbia University, New York, NY, USA
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113
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Frachon L, Mayjonade B, Bartoli C, Hautekèete NC, Roux F. Adaptation to Plant Communities across the Genome of Arabidopsis thaliana. Mol Biol Evol 2020; 36:1442-1456. [PMID: 30968130 DOI: 10.1093/molbev/msz078] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Despite the importance of plant-plant interactions on plant community dynamics and crop yield, our understanding of the adaptive genetics underlying these interactions is still limited and deserves to be investigated in the context of complex and diffuse interactions occurring in plant assemblages. Here, based on 145 natural populations of Arabidopsis thaliana located in south-west of France and characterized for plant communities, we conducted a Genome-Environment Association analysis to finely map adaptive genomic regions of A. thaliana associated with plant community descriptors. To control for correlated abiotic environment effects, we also characterized the populations for a set of biologically meaningful climate and soil variables. A nonnegligible fraction of top single nucleotide polymorphisms was associated with both plant community descriptors and abiotic variables, highlighting the importance of considering the actual abiotic drivers of plant communities to disentangle genetic variants for biotic adaptation from genetic variants for abiotic adaptation. The adaptive loci associated with species abundance were highly dependent on the identity of the neighboring species suggesting a high degree of biotic specialization of A. thaliana to members of its plant interaction network. Moreover, the identification of adaptive loci associated with α-diversity and composition of plant communities supports the ability of A. thaliana to interact simultaneously with multiple plant neighbors, which in turn can help to understand the role of community-wide selection. Altogether, our study highlights that dissecting the genetic basis underlying plant-plant interactions at a regional scale while controlling for abiotic confounding factors can help understanding the adaptive mechanisms modulating natural plant assemblages.
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Affiliation(s)
- Léa Frachon
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.,Dipartimento di Biologia, Università degli Studi di Napoli Federico II, Naples, Italy.,Department of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland
| | | | - Claudia Bartoli
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.,IGEPP, INRA, AGROCAMPUS OUEST, Université Rennes, Le Rheu, France
| | - Nina-Coralie Hautekèete
- Laboratoire Evolution, Ecologie et Paléontologie, CNRS UMR 8198, Université de Lille, Villeneuve d'Ascq, France
| | - Fabrice Roux
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
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114
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Paffendorf BAM, Qassrawi R, Meys AM, Trimborn L, Schrader A. TRANSPARENT TESTA GLABRA 1 participates in flowering time regulation in Arabidopsis thaliana. PeerJ 2020; 8:e8303. [PMID: 31998554 PMCID: PMC6977477 DOI: 10.7717/peerj.8303] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 11/26/2019] [Indexed: 12/22/2022] Open
Abstract
Pleiotropic regulatory factors mediate concerted responses of the plant’s trait network to endogenous and exogenous cues. TRANSPARENT TESTA GLABRA 1 (TTG1) is such a factor that has been predominantly described as a regulator of early developmental traits. Although its closest homologs LIGHT-REGULATED WD1 (LWD1) and LWD2 affect photoperiodic flowering, a role of TTG1 in flowering time regulation has not been reported. Here we reveal that TTG1 is a regulator of flowering time in Arabidopsis thaliana and changes transcript levels of different targets within the flowering time regulatory pathway. TTG1 mutants flower early and TTG1 overexpression lines flower late at long-day conditions. Consistently, TTG1 can suppress the transcript levels of the floral integrators FLOWERING LOCUS T and SUPPRESSOR OF OVEREXPRESSION OF CO1 and can act as an activator of circadian clock components. Moreover, TTG1 might form feedback loops at the protein level. The TTG1 protein interacts with PSEUDO RESPONSE REGULATOR (PRR)s and basic HELIX-LOOP-HELIX 92 (bHLH92) in yeast. In planta, the respective pairs exhibit interesting patterns of localization including a recruitment of TTG1 by PRR5 to subnuclear foci. This mechanism proposes additional layers of regulation by TTG1 and might aid to specify the function of bHLH92. Within another branch of the pathway, TTG1 can elevate FLOWERING LOCUS C (FLC) transcript levels. FLC mediates signals from the vernalization, ambient temperature and autonomous pathway and the circadian clock is pivotal for the plant to synchronize with diurnal cycles of environmental stimuli like light and temperature. Our results suggest an unexpected positioning of TTG1 upstream of FLC and upstream of the circadian clock. In this light, this points to an adaptive value of the role of TTG1 in respect to flowering time regulation.
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Affiliation(s)
| | - Rawan Qassrawi
- Botanical Institute, Department of Biology, University of Cologne, Cologne, Germany
| | - Andrea M Meys
- Botanical Institute, Department of Biology, University of Cologne, Cologne, Germany
| | - Laura Trimborn
- Botanical Institute, Department of Biology, University of Cologne, Cologne, Germany
| | - Andrea Schrader
- Botanical Institute, Department of Biology, University of Cologne, Cologne, Germany.,RWTH Aachen University, Institute for Biology I, Aachen, Germany
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115
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Walden N, Lucek K, Willi Y. Lineage‐specific adaptation to climate involves flowering time in North American
Arabidopsis lyrata. Mol Ecol 2020; 29:1436-1451. [DOI: 10.1111/mec.15338] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 11/16/2019] [Accepted: 12/10/2019] [Indexed: 01/06/2023]
Affiliation(s)
- Nora Walden
- Department of Environmental Sciences University of Basel Basel Switzerland
- Centre for Organismal Studies Heidelberg University of Heidelberg Heidelberg Germany
| | - Kay Lucek
- Department of Environmental Sciences University of Basel Basel Switzerland
| | - Yvonne Willi
- Department of Environmental Sciences University of Basel Basel Switzerland
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116
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Abstract
Maize is an excellent model for the study of plant adaptation. Indeed, post domestication maize quickly adapted to a host of new environments across the globe. And work over the last decade has begun to highlight the role of the wild relatives of maize-the teosintes Zea mays ssp. parviglumis and ssp. mexicana-as excellent models for dissecting long-term local adaptation.Although human-driven selection associated with maize domestication has been extensively studied, the genetic basis of natural variation is still poorly understood. Here we review studies on the genetic basis of adaptation and plasticity in maize and its wild relatives. We highlight a range of different processes that contribute to adaptation and discuss evidence from natural, cultivated, and experimental populations. From an applied perspective, understanding the genetic bases of adaptation and the contribution of plasticity will provide us with new tools to both better understand and mitigate the effect of climate changes on natural and cultivated populations.
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117
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Fustier MA, Martínez-Ainsworth NE, Aguirre-Liguori JA, Venon A, Corti H, Rousselet A, Dumas F, Dittberner H, Camarena MG, Grimanelli D, Ovaskainen O, Falque M, Moreau L, de Meaux J, Montes-Hernández S, Eguiarte LE, Vigouroux Y, Manicacci D, Tenaillon MI. Common gardens in teosintes reveal the establishment of a syndrome of adaptation to altitude. PLoS Genet 2019; 15:e1008512. [PMID: 31860672 PMCID: PMC6944379 DOI: 10.1371/journal.pgen.1008512] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 01/06/2020] [Accepted: 11/07/2019] [Indexed: 12/14/2022] Open
Abstract
In plants, local adaptation across species range is frequent. Yet, much has to be discovered on its environmental drivers, the underlying functional traits and their molecular determinants. Genome scans are popular to uncover outlier loci potentially involved in the genetic architecture of local adaptation, however links between outliers and phenotypic variation are rarely addressed. Here we focused on adaptation of teosinte populations along two elevation gradients in Mexico that display continuous environmental changes at a short geographical scale. We used two common gardens, and phenotyped 18 traits in 1664 plants from 11 populations of annual teosintes. In parallel, we genotyped these plants for 38 microsatellite markers as well as for 171 outlier single nucleotide polymorphisms (SNPs) that displayed excess of allele differentiation between pairs of lowland and highland populations and/or correlation with environmental variables. Our results revealed that phenotypic differentiation at 10 out of the 18 traits was driven by local selection. Trait covariation along the elevation gradient indicated that adaptation to altitude results from the assembly of multiple co-adapted traits into a complex syndrome: as elevation increases, plants flower earlier, produce less tillers, display lower stomata density and carry larger, longer and heavier grains. The proportion of outlier SNPs associating with phenotypic variation, however, largely depended on whether we considered a neutral structure with 5 genetic groups (73.7%) or 11 populations (13.5%), indicating that population stratification greatly affected our results. Finally, chromosomal inversions were enriched for both SNPs whose allele frequencies shifted along elevation as well as phenotypically-associated SNPs. Altogether, our results are consistent with the establishment of an altitudinal syndrome promoted by local selective forces in teosinte populations in spite of detectable gene flow. Because elevation mimics climate change through space, SNPs that we found underlying phenotypic variation at adaptive traits may be relevant for future maize breeding.
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Affiliation(s)
- Margaux-Alison Fustier
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Natalia E. Martínez-Ainsworth
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Jonás A. Aguirre-Liguori
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Anthony Venon
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Hélène Corti
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Agnès Rousselet
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Fabrice Dumas
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Hannes Dittberner
- Institute of Botany, University of Cologne Biocenter, Cologne, Germany
| | - María G. Camarena
- Campo Experimental Bajío, InstitutoNacional de Investigaciones Forestales, Agrícolas y Pecuarias, Celaya, Mexico
| | - Daniel Grimanelli
- UMR Diversité, Adaptation et Développement des plantes, Université de Montpellier, Institut de Recherche pour le développement, Montpellier, France
| | - Otso Ovaskainen
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthieu Falque
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Laurence Moreau
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Juliette de Meaux
- Institute of Botany, University of Cologne Biocenter, Cologne, Germany
| | - Salvador Montes-Hernández
- Campo Experimental Bajío, InstitutoNacional de Investigaciones Forestales, Agrícolas y Pecuarias, Celaya, Mexico
| | - Luis E. Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Yves Vigouroux
- UMR Diversité, Adaptation et Développement des plantes, Université de Montpellier, Institut de Recherche pour le développement, Montpellier, France
| | - Domenica Manicacci
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
| | - Maud I. Tenaillon
- Génétique Quantitative et Evolution – Le Moulon, Université Paris-Saclay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France
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118
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Honjo MN, Kudoh H. Arabidopsis halleri: a perennial model system for studying population differentiation and local adaptation. AOB PLANTS 2019; 11:plz076. [PMID: 31832127 PMCID: PMC6899346 DOI: 10.1093/aobpla/plz076] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 11/26/2019] [Indexed: 05/21/2023]
Abstract
Local adaptation is assumed to occur when populations differ in a phenotypic trait or a set of traits, and such variation has a genetic basis. Here, we introduce Arabidopsis halleri and its life history as a perennial model system to study population differentiation and local adaptation. Studies on altitudinal adaptation have been conducted in two regions: Mt. Ibuki in Japan and the European Alps. Several studies have demonstrated altitudinal adaptation in ultraviolet-B (UV-B) tolerance, leaf water repellency against spring frost and anti-herbivore defences. Studies on population differentiation in A. halleri have also focused on metal hyperaccumulation and tolerance to heavy metal contamination. In these study systems, genome scans to identify candidate genes under selection have been applied. Lastly, we briefly discuss how RNA-Seq can broaden phenotypic space and serve as a link to underlying mechanisms. In conclusion, A. halleri provides us with opportunities to study population differentiation and local adaptation, and relate these to the genetic systems underlying target functional traits.
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Affiliation(s)
- Mie N Honjo
- Center for Ecological Research, Kyoto University, Hirano, Otsu, Shiga, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Hirano, Otsu, Shiga, Japan
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119
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Natural Root Cellular Variation in Responses to Osmotic Stress in Arabidopsis thaliana Accessions. Genes (Basel) 2019; 10:genes10120983. [PMID: 31795411 PMCID: PMC6969899 DOI: 10.3390/genes10120983] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 11/21/2019] [Accepted: 11/22/2019] [Indexed: 01/06/2023] Open
Abstract
Arabidopsis naturally occurring populations have allowed for the identification of considerable genetic variation remodeled by adaptation to different environments and stress conditions. Water is a key resource that limits plant growth, and its availability is initially sensed by root tissues. The root’s ability to adjust its physiology and morphology under water deficit makes this organ a useful model to understand how plants respond to water stress. Here, we used hyperosmotic shock stress treatments in different Arabidopsis accessions to analyze the root cell morphological responses. We found that osmotic stress conditions reduced root growth and root apical meristem (RAM) size, promoting premature cell differentiation without affecting the stem cell niche morphology. This phenotype was accompanied by a cluster of small epidermal and cortex cells with radial expansion and root hairs at the transition to the elongation zone. We also found this radial expansion with root hairs when plants are grown under hypoosmotic conditions. Finally, root growth was less affected by osmotic stress in the Sg-2 accession followed by Ws, Cvi-0, and Col-0; however, after a strong osmotic stress, Sg-2 and Cvi-0 were the most resilience accessions. The sensitivity differences among these accessions were not explained by stress-related gene expression. This work provides new cellular insights on the Arabidopsis root phenotypic variability and plasticity to osmotic stress.
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120
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Rutter MT, Murren CJ, Callahan HS, Bisner AM, Leebens-Mack J, Wolyniak MJ, Strand AE. Distributed phenomics with the unPAK project reveals the effects of mutations. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 100:199-211. [PMID: 31155775 DOI: 10.1111/tpj.14427] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 05/01/2019] [Accepted: 05/10/2019] [Indexed: 06/09/2023]
Abstract
Determining how genes are associated with traits in plants and other organisms is a major challenge in modern biology. The unPAK project - undergraduates phenotyping Arabidopsis knockouts - has generated phenotype data for thousands of non-lethal insertion mutation lines within a single Arabidopsis thaliana genomic background. The focal phenotypes examined by unPAK are complex macroscopic fitness-related traits, which have ecological, evolutionary and agricultural importance. These phenotypes are placed in the context of the wild-type and also natural accessions (phytometers), and standardized for environmental differences between assays. Data from the unPAK project are used to describe broad patterns in the phenotypic consequences of insertion mutation, and to identify individual mutant lines with distinct phenotypes as candidates for further study. Inclusion of undergraduate researchers is at the core of unPAK activities, and an important broader impact of the project is providing students an opportunity to obtain research experience.
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Affiliation(s)
- Matthew T Rutter
- Department of Biology, College of Charleston, 66 George Street, Charleston, SC, 29424, USA
| | - Courtney J Murren
- Department of Biology, College of Charleston, 66 George Street, Charleston, SC, 29424, USA
| | - Hilary S Callahan
- Department of Biology, Barnard College, 3009 Broadway, New York, NY, 10027, USA
| | - April M Bisner
- Department of Biology, College of Charleston, 66 George Street, Charleston, SC, 29424, USA
| | - Jim Leebens-Mack
- Department of Plant Biology, University of Georgia, 120 Carlton St, Athens, GA, 30602, USA
| | | | - Allan E Strand
- Department of Biology, College of Charleston, 66 George Street, Charleston, SC, 29424, USA
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121
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Exposito-Alonso M, Burbano HA, Bossdorf O, Nielsen R, Weigel D. Natural selection on the Arabidopsis thaliana genome in present and future climates. Nature 2019; 573:126-129. [PMID: 31462776 DOI: 10.1038/s41586-019-1520-9] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 08/04/2019] [Indexed: 11/09/2022]
Abstract
Through the lens of evolution, climate change is an agent of natural selection that forces populations to change and adapt, or face extinction. However, current assessments of the risk of biodiversity associated with climate change1 do not typically take into account how natural selection influences populations differently depending on their genetic makeup2. Here we make use of the extensive genome information that is available for Arabidopsis thaliana and measure how manipulation of the amount of rainfall affected the fitness of 517 natural Arabidopsis lines that were grown in Spain and Germany. This allowed us to directly infer selection along the genome3. Natural selection was particularly strong in the hot-dry location in Spain, where 63% of lines were killed and where natural selection substantially changed the frequency of approximately 5% of all genome-wide variants. A significant portion of this climate-driven natural selection of variants was predictable from signatures of local adaptation (R2 = 29-52%), as genetic variants that were found in geographical areas with climates more similar to the experimental sites were positively selected. Field-validated predictions across the species range indicated that Mediterranean and western Siberian populations-at the edges of the environmental limits of this species-currently experience the strongest climate-driven selection. With more frequent droughts and rising temperatures in Europe4, we forecast an increase in directional natural selection moving northwards from the southern end of Europe, putting many native A. thaliana populations at evolutionary risk.
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Affiliation(s)
- Moises Exposito-Alonso
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.,Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA.,Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA
| | | | - Hernán A Burbano
- Research Group of Ancient Genomics and Evolution, Max Planck Institute for Developmental Biology, Tübingen, Germany.,Centre for Life's Origins and Evolution, Department of Genetics, Evolution, and Environment, University College London, London, UK
| | - Oliver Bossdorf
- Institute of Evolution and Ecology, University of Tübingen, Tübingen, Germany
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA.,Department of Statistics, University of California Berkeley, Berkeley, CA, USA.,Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Detlef Weigel
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
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122
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Zeng L, Cao Y, Wu Z, Huang M, Zhang G, Lei C, Zhao Y. A Missense Mutation of the HSPB7 Gene Associated with Heat Tolerance in Chinese Indicine Cattle. Animals (Basel) 2019; 9:ani9080554. [PMID: 31416175 PMCID: PMC6721237 DOI: 10.3390/ani9080554] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/01/2019] [Accepted: 08/07/2019] [Indexed: 12/17/2022] Open
Abstract
Simple Summary A missense mutation (NC_037329.1: g.136054902 C > G: p. Ala69Gly) was identified in the heat shock protein family B (small) member 7 (HSPB7) gene in indicine cattle, which might be a candidate mutation associated with the heat tolerance. Here, Polymerase Chain Reaction and DNA sequencing methods were used to detect this mutation in 774 individuals belonging to 32 Chinese indigenous cattle breeds. The distribution of alleles of NC_037329.1: g.136054902 C > G displays significant geographical difference across native Chinese cattle breeds and cattle carrying allele G distributed in regions with higher mean annual temperature, relative humidity, and temperature humidity index. Our results demonstrate that the mutation of the HSPB7 gene in Chinese indicine cattle might be a candidate gene associated with the heat tolerance. Abstract The small heat shock proteins (HSPB) are expressed in response to heat stress, and the heat shock protein family B (small) member 7 (HSPB7) gene has been reported to play an important role in heat tolerance pathways. Only a missense mutation (NC_037329.1: g.136054902 C > G: p.Ala69Gly) was identified in the HSPB7 gene in indicine cattle, which might be a candidate mutation associated with the heat tolerance. Here, we explore the allele frequency of this mutation in 774 individuals belonging to 32 Chinese indigenous cattle breeds using polymerase chain reaction (PCR) and DNA sequencing methods. The distribution of alleles of NC_037329.1: g.136054902 C > G displays significant geographical difference across native Chinese cattle breeds that the allele C was dominant in northern cattle groups, while allele G was dominant in southern indicine cattle groups. Additionally, the association analysis indicated that the G allele was significantly associated with mean annual temperature (T), relative humidity (RH), and temperature humidity index (THI) (p < 0.01), suggesting that cattle carrying allele G were distributed in regions with higher T, RH, and THI. Our results demonstrate that the mutation of the HSPB7 gene in Chinese indicine cattle might be a candidate gene associated with the heat tolerance.
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Affiliation(s)
- Lulan Zeng
- Key Laboratory of Beef Cattle Genetics and Breeding in Ministry of Agriculture and Rural Agriculture, Branch of Animal Husbandry, Jilin Academy of Agricultural Sciences, Changchun 130033, China
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yanhong Cao
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning 53001, China
| | - Zhuyue Wu
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning 53001, China
| | - Mingguang Huang
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning 53001, China
| | - Guoliang Zhang
- Key Laboratory of Beef Cattle Genetics and Breeding in Ministry of Agriculture and Rural Agriculture, Branch of Animal Husbandry, Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yumin Zhao
- Key Laboratory of Beef Cattle Genetics and Breeding in Ministry of Agriculture and Rural Agriculture, Branch of Animal Husbandry, Jilin Academy of Agricultural Sciences, Changchun 130033, China.
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123
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Samis KE, Stinchcombe JR, Murren CJ. Population climatic history predicts phenotypic responses in novel environments for Arabidopsis thaliana in North America. AMERICAN JOURNAL OF BOTANY 2019; 106:1068-1080. [PMID: 31364776 DOI: 10.1002/ajb2.1334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 05/28/2019] [Indexed: 05/28/2023]
Abstract
PREMISE Determining how species perform in novel climatic environments is essential for understanding (1) responses to climate change and (2) evolutionary consequences of biological invasions. For the vast majority of species, the number of population characteristics that will predict performance and patterns of natural selection in novel locations in the wild remains limited. METHODS We evaluated phenological, vegetative, architectural, and fitness-related traits in experimental gardens in contrasting climates (Ontario, Canada, and South Carolina, USA) in the North American non-native distribution of Arabidopsis thaliana. We assessed the effects of climatic distance, geographic distance, and genetic features of history on performance and patterns of natural selection in the novel garden settings. RESULTS We found that plants had greater survivorship, flowered earlier, were larger, and produced more fruit in the south, and that genotype-by-environment interactions were significant between gardens. However, our analyses revealed similar patterns of natural selection between gardens in distinct climate zones. After accounting for genetic ancestry, we also detected that population climatic distance best predicted performance within gardens. CONCLUSIONS These data suggest that colonization success in novel, non-native environments is determined by a combination of climate and genetic history. When performance at novel sites was assessed with seed sources from geographically and genetically disparate, established non-native populations, proximity to the garden alone was insufficient to predict performance. Our study highlights the need to evaluate seed sources from diverse origins to describe comprehensively phenotypic responses to novel environments, particularly for taxa in which many source populations may contribute to colonization.
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Affiliation(s)
- Karen E Samis
- Department of Biology, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
| | - John R Stinchcombe
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
- Koffler Scientific Reserve at Joker's Hill, University of Toronto, Toronto, Ontario, Canada
| | - Courtney J Murren
- Department of Biology, College of Charleston, Charleston, South Carolina, 29424, USA
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124
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Duarte GT, Volkova PY, Geras'kin SA. The response profile to chronic radiation exposure based on the transcriptome analysis of Scots pine from Chernobyl affected zone. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 250:618-626. [PMID: 31035144 DOI: 10.1016/j.envpol.2019.04.064] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/27/2019] [Accepted: 04/13/2019] [Indexed: 06/09/2023]
Abstract
Radioactive contamination of the natural areas is one of the most long-lasting anthropogenic impacts on the environment. Scots pine (Pinus sylvestris L.) is a promising organism for radiation-related research because of its high radiosensitivity, but the genome size of Pinacea species has imposed obstacles for high-throughput studies so far. In this work, we conducted the analysis of the de novo assembled transcriptome of Scots pine populations growing in the Chernobyl-affected zone, which is still today contaminated with radionuclides because of the accident at the nuclear power plant in 1986. The transcriptome profiles indicate a clear pattern of adaptive stress response, which seems to be dose-dependent. The transcriptional response indicates a continuous modulation of the cellular redox system, enhanced expression of chaperones and histones, along with the control of ions balance. Interestingly, the activity of transposable element families is inversely correlated to the exposure levels to radiation. These adaptive responses, which are triggered by radiation doses 30 times lower than the one accepted as a safe for biota species by international regulations, suggest that the environmental management in radiation protection should be reviewed.
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Affiliation(s)
- Gustavo T Duarte
- Russian Institute of Radiology and Agroecology, 249032, Obninsk, Russia; Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, 78000, Versailles, France
| | - Polina Yu Volkova
- Russian Institute of Radiology and Agroecology, 249032, Obninsk, Russia
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125
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Habitat preference differentiates the Holocene range dynamics but not barrier effects on two sympatric, congeneric trees (Tristaniopsis, Myrtaceae). Heredity (Edinb) 2019; 123:532-548. [PMID: 31243348 DOI: 10.1038/s41437-019-0243-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 05/25/2019] [Accepted: 05/29/2019] [Indexed: 11/08/2022] Open
Abstract
Niche partitioning can lead to differences in the range dynamics of plant species through its impacts on habitat availability, dispersal, or selection for traits that affect colonization and persistence. We investigated whether niche partitioning into upland and riparian habitats differentiates the range dynamics of two closely related and sympatric eastern Australian trees: the mountain water gum (Tristaniopsis collina) and the water gum (T. laurina). Using genomic data from SNP genotyping of 480 samples, we assessed the impact of biogeographic barriers and tested for signals of range expansion. Circuit theory was used to model isolation-by-resistance across three palaeo-environment scenarios: the Last Glacial Maximum, the Holocene Climate Optimum and present-day (1950-2014). Both trees showed similar genetic structure across historically dry barriers, despite evidence of significant environmental niche differentiation and different post-glacial habitat shifts. Tristaniopsis collina exhibits the signature of serial founder effects consistent with recent or rapid range expansion, whilst T. laurina has genetic patterns consistent with long-term persistence in geographically isolated populations despite occupying a broader bioclimatic niche. We found the minor influence of isolation-by-resistance on both species, though other unknown factors appear to shape genetic variation. We postulate that specialized recruitment traits (adapted to flood-disturbance regimes) rather than habitat availability limited post-glacial range expansion in T. laurina. Our findings indicate that niche breadth does not always facilitate range expansion through colonization and migration across barriers, though it can promote long-term persistence in situ.
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126
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Li MR, Wang HY, Ding N, Lu T, Huang YC, Xiao HX, Liu B, Li LF. Rapid Divergence Followed by Adaptation to Contrasting Ecological Niches of Two Closely Related Columbine Species Aquilegia japonica and A. oxysepala. Genome Biol Evol 2019; 11:919-930. [PMID: 30793209 PMCID: PMC6433176 DOI: 10.1093/gbe/evz038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2019] [Indexed: 12/20/2022] Open
Abstract
Elucidating the mechanisms underlying the genetic divergence between closely related species is crucial to understanding the origin and evolution of biodiversity. The genus Aquilegia L. has undergone rapid adaptive radiation, generating about 70 well-recognized species that are specialized to distinct habitats and pollinators. In this study, to address the underlying evolutionary mechanisms that drive the genetic divergence, we analyzed the whole genomes of two ecologically isolated Aquilegia species, A. oxysepala and A. japonica as well as their putative hybrid. Our comparative genomic analyses reveal that while the two species diverged only recently and experienced recurrent gene flow, a high level of genetic divergence is observed in their nuclear genomes. In particular, candidate genomic regions that show signature of selection differ dramatically between the two species. Given that the splitting time of the two species is broadly matched with the decrease in effective population sizes, we propose that allopatric isolation together with natural selection have preceded the interspecific gene flow in the process of speciation. The observed high genetic divergence is likely an outcome of combined effects of natural selection, genetic drift and divergent sorting of ancestral polymorphisms. Our study provides a genome-wide view of how genetic divergence has evolved between closely related species.
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Affiliation(s)
- Ming-Rui Li
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hua-Ying Wang
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Ning Ding
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Tianyuan Lu
- McGill University and Genome Quebec Innovation Center, Montreal, Quebec, Canada
| | - Ye-Chao Huang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hong-Xing Xiao
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Bao Liu
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Lin-Feng Li
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
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127
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Rogivue A, Choudhury RR, Zoller S, Joost S, Felber F, Kasser M, Parisod C, Gugerli F. Genome-wide variation in nucleotides and retrotransposons in alpine populations of Arabis alpina (Brassicaceae). Mol Ecol Resour 2019; 19:773-787. [PMID: 30636378 DOI: 10.1111/1755-0998.12991] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 12/14/2018] [Accepted: 12/17/2018] [Indexed: 02/01/2023]
Abstract
Advances in high-throughput sequencing have promoted the collection of reference genomes and genome-wide diversity. However, the assessment of genomic variation among populations has hitherto mainly been surveyed through single-nucleotide polymorphisms (SNPs) and largely ignored the often major fraction of genomes represented by transposable elements (TEs). Despite accumulating evidence supporting the evolutionary significance of TEs, comprehensive surveys remain scarce. Here, we sequenced the full genomes of 304 individuals of Arabis alpina sampled from four nearby natural populations to genotype SNPs as well as polymorphic long terminal repeat retrotransposons (polymorphic TEs; i.e., presence/absence of TE insertions at specific loci). We identified 291,396 SNPs and 20,548 polymorphic TEs, comparing their contributions to genomic diversity and divergence across populations. Few SNPs were shared among populations and overall showed high population-specific variation, whereas most polymorphic TEs segregated among populations. The genomic context of these two classes of variants further highlighted candidate adaptive loci having a putative impact on functional genes. In particular, 4.96% of the SNPs were identified as nonsynonymous or affecting start/stop codons. In contrast, 43% of the polymorphic TEs were present next to Arabis genes enriched in functional categories related to the regulation of reproduction and responses to biotic as well as abiotic stresses. This unprecedented data set, mapping variation gained from SNPs and complementary polymorphic TEs within and among populations, will serve as a rich resource for addressing microevolutionary processes shaping genome variation.
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Affiliation(s)
- Aude Rogivue
- WSL Swiss Federal Research Institute, Birmensdorf, Switzerland
| | - Rimjhim R Choudhury
- University of Neuchâtel, Neuchâtel, Switzerland.,Institute of Plant Sciences, University of Berne, Bern, Switzerland
| | - Stefan Zoller
- Genetic Diversity Centre, ETH Zürich, Zürich, Switzerland
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - François Felber
- University of Neuchâtel, Neuchâtel, Switzerland.,Musée et Jardins botaniques cantonaux, Lausanne, Switzerland
| | | | | | - Felix Gugerli
- WSL Swiss Federal Research Institute, Birmensdorf, Switzerland
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128
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Flood PJ. Using natural variation to understand the evolutionary pressures on plant photosynthesis. CURRENT OPINION IN PLANT BIOLOGY 2019; 49:68-73. [PMID: 31284076 DOI: 10.1016/j.pbi.2019.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 05/23/2019] [Accepted: 06/03/2019] [Indexed: 06/09/2023]
Abstract
Photosynthesis is the gateway of the Sun's energy into the biosphere and the source of the ozone layer; thus it is both provider and protector of life as we know it. Despite its pivotal role we know surprisingly little about the genetic basis of variation in photosynthesis and the selective pressures giving rise to or maintaining this variation. In this review, I will briefly summarise our current knowledge of intraspecific and interspecific variation in photosynthesis to understand the main selective constraints on photosynthesis and what this means for the future of nature and agriculture in a changing world.
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Affiliation(s)
- Pádraic J Flood
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
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129
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Jia Z, Giehl RFH, Meyer RC, Altmann T, von Wirén N. Natural variation of BSK3 tunes brassinosteroid signaling to regulate root foraging under low nitrogen. Nat Commun 2019; 10:2378. [PMID: 31147541 PMCID: PMC6542857 DOI: 10.1038/s41467-019-10331-9] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 04/30/2019] [Indexed: 12/02/2022] Open
Abstract
Developmental plasticity of root system architecture is crucial for plant performance in nutrient-poor soils. Roots of plants grown under mild nitrogen (N) deficiency show a foraging response characterized by increased root length but mechanisms underlying this developmental plasticity are still elusive. By employing natural variation in Arabidopsis accessions, we show that the brassinosteroid (BR) signaling kinase BSK3 modulates root elongation under mild N deficiency. In particular, a proline to leucine substitution in the predicted kinase domain of BSK3 enhances BR sensitivity and signaling to increase the extent of root elongation. We further show that low N specifically upregulates transcript levels of the BR co-receptor BAK1 to activate BR signaling and stimulate root elongation. Altogether, our results uncover a role of BR signaling in root elongation under low N. The BSK3 alleles identified here provide targets for improving root growth of crops growing under limited N conditions. Plant roots elongate under mild nitrogen deficiency as part of a foraging response that facilitates nutrient uptake. Here the authors show that natural variation in this response among Arabidopsis accessions depends on the brassinosteroid (BR) signaling kinase BSK3, which can enhance BR sensitivity and root growth.
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Affiliation(s)
- Zhongtao Jia
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany
| | - Ricardo F H Giehl
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany
| | - Rhonda C Meyer
- Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany
| | - Thomas Altmann
- Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany
| | - Nicolaus von Wirén
- Molecular Plant Nutrition, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany.
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130
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Gentzbittel L, Ben C, Mazurier M, Shin MG, Lorenz T, Rickauer M, Marjoram P, Nuzhdin SV, Tatarinova TV. WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants. Genome Biol 2019; 20:106. [PMID: 31138283 PMCID: PMC6537182 DOI: 10.1186/s13059-019-1697-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 04/23/2019] [Indexed: 12/13/2022] Open
Abstract
The explosive growth of genomic data provides an opportunity to make increased use of sequence variations for phenotype prediction. We have developed a prediction machine for quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks limiting the current methods. We demonstrated its performance by predicting quantitative disease resistance and quantitative functional traits in the wild model plant species, Medicago truncatula, using geographical locations as covariates for admixture analysis. The method's prediction reliability equals or outperforms all existing algorithms for quantitative phenotype prediction. WhoGEM analysis produces evidence that variation in genome admixture proportions explains most of the phenotypic variation for quantitative phenotypes.
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Affiliation(s)
- Laurent Gentzbittel
- EcoLab, Université de Toulouse, CNRS, Avenue de l’Agrobiopole BP 32607, Auzeville-Tolosane, F-31326 Castanet-Tolosan, France
| | - Cécile Ben
- EcoLab, Université de Toulouse, CNRS, Avenue de l’Agrobiopole BP 32607, Auzeville-Tolosane, F-31326 Castanet-Tolosan, France
| | - Mélanie Mazurier
- EcoLab, Université de Toulouse, CNRS, Avenue de l’Agrobiopole BP 32607, Auzeville-Tolosane, F-31326 Castanet-Tolosan, France
| | - Min-Gyoung Shin
- University of Southern California, 1050 Childs Way (USC), Los Angeles, CA 90089-0371 USA
| | - Todd Lorenz
- University of La Verne, 1950 3rd Street, La Verne, CA 91750 USA
| | - Martina Rickauer
- EcoLab, Université de Toulouse, CNRS, Avenue de l’Agrobiopole BP 32607, Auzeville-Tolosane, F-31326 Castanet-Tolosan, France
| | - Paul Marjoram
- University of Southern California, 1050 Childs Way (USC), Los Angeles, CA 90089-0371 USA
| | - Sergey V. Nuzhdin
- University of Southern California, 1050 Childs Way (USC), Los Angeles, CA 90089-0371 USA
| | - Tatiana V. Tatarinova
- University of La Verne, 1950 3rd Street, La Verne, CA 91750 USA
- Department of Fundamental Biology and Biotechnology, Siberian Federal University, 660074 Krasnoyarsk, Russia
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131
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Identification of Arabis alpina genomic regions associated with climatic variables along an elevation gradient through whole genome scan. Genomics 2019; 112:729-735. [PMID: 31085222 DOI: 10.1016/j.ygeno.2019.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/24/2019] [Accepted: 05/08/2019] [Indexed: 01/23/2023]
Abstract
We performed a pooled whole-genome sequencing on samples of the alpine plant Arabis alpina, harvested in ten populations along an elevation gradient in the French Alps. A large dataset of genetic variations was produced as single nucleotide polymorphisms (SNPs). A combined genome scan approach enabled detecting genomic regions associated with a synthetic environmental variable characterizing the climate at each sampling location. Positive loci detected by two methods were retained and belong to 19 regions in the Arabis alpina genome. The most significant region harbors an ortholog of the AtNAC062 gene, encoding a membrane-bound transcription factor described as linking the cold response and pathogen resistance that may confer protection to plants under extended snow coverage at high elevations. Other genes involved in the stress response or in flowering regulation were also detected. Altogether, our results indicated that Arabis alpina represent a suitable model for studying genomic adaptation in alpine perennial plants.
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132
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Haselhorst MSH, Parchman TL, Buerkle CA. Genetic evidence for species cohesion, substructure and hybrids in spruce. Mol Ecol 2019; 28:2029-2045. [DOI: 10.1111/mec.15056] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 02/10/2019] [Accepted: 02/11/2019] [Indexed: 12/18/2022]
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133
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Lyu JI, Kim JH, Chu H, Taylor MA, Jung S, Baek SH, Woo HR, Lim PO, Kim J. Natural allelic variation of GVS1 confers diversity in the regulation of leaf senescence in Arabidopsis. THE NEW PHYTOLOGIST 2019; 221:2320-2334. [PMID: 30266040 DOI: 10.1111/nph.15501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 09/19/2018] [Indexed: 06/08/2023]
Abstract
Leaf senescence affects plant fitness. Plants that evolve in different environments are expected to acquire distinct regulations of leaf senescence. However, the adaptive and evolutionary roles of leaf senescence are largely unknown. We investigated leaf senescence in 259 natural accessions of Arabidopsis by quantitatively assaying dark-induced senescence responses using a high-throughput chlorophyll fluorescence imaging system. A meta-analysis of our data with phenotypic and climatic information demonstrated biological and environmental links with leaf senescence. We further performed genome-wide association mapping to identify the genetic loci underlying the diversity of leaf senescence responses. We uncovered a new locus, Genetic Variants in leaf Senescence (GVS1), with high similarity to reductase, where a single nonsynonymous nucleotide substitution at GVS1 mediates the diversity of the senescence trait. Loss-of-function mutations of GVS1 in Columbia-0 delayed leaf senescence and increased sensitivity to oxidative stress, suggesting that this GVS1 variant promotes optimal responses to developmental and environmental signals. Intriguingly, gvs1 loss-of-function mutants display allele- and accession-dependent phenotypes, revealing the functional diversity of GVS1 alleles not only in leaf senescence, but also oxidative stress. Our discovery of GVS1 as the genetic basis of natural variation in senescence programs reinforces its adaptive potential in modulating life histories across diverse environments.
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Affiliation(s)
- Jae Il Lyu
- Center for Plant Aging Research, Institute for Basic Science (IBS), Daegu, 42988, Republic of Korea
| | - Jin Hee Kim
- Center for Plant Aging Research, Institute for Basic Science (IBS), Daegu, 42988, Republic of Korea
| | - Hyosub Chu
- Center for Plant Aging Research, Institute for Basic Science (IBS), Daegu, 42988, Republic of Korea
| | - Mark A Taylor
- Department of Evolution and Ecology, University of California, Davis, CA, 95616, USA
| | - Sukjoon Jung
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Seung Hee Baek
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Hye Ryun Woo
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Pyung Ok Lim
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Jeongsik Kim
- Center for Plant Aging Research, Institute for Basic Science (IBS), Daegu, 42988, Republic of Korea
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134
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Rubio B, Cosson P, Caballero M, Revers F, Bergelson J, Roux F, Schurdi-Levraud V. Genome-wide association study reveals new loci involved in Arabidopsis thaliana and Turnip mosaic virus (TuMV) interactions in the field. THE NEW PHYTOLOGIST 2019; 221:2026-2038. [PMID: 30282123 DOI: 10.1111/nph.15507] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 09/18/2018] [Indexed: 05/12/2023]
Abstract
The genetic architecture of plant response to viruses has often been studied in model nonnatural pathosystems under controlled conditions. There is an urgent need to elucidate the genetic architecture of the response to viruses in a natural setting. A field experiment was performed in each of two years. In total, 317 Arabidopsis thaliana accessions were inoculated with its natural Turnip mosaic virus (TuMV). The accessions were phenotyped for viral accumulation, frequency of infected plants, stem length and symptoms. Genome-wide association mapping was performed. Arabidopsis thaliana exhibits extensive natural variation in its response to TuMV in the field. The underlying genetic architecture reveals a more quantitative picture than in controlled conditions. Ten genomic regions were consistently identified across the two years. RTM3 (Restricted TEV Movement 3) is a major candidate for the response to TuMV in the field. New candidate genes include Dead box helicase 1, a Tim Barrel domain protein and the eukaryotic translation initiation factor eIF3b. To our knowledge, this study is the first to report the genetic architecture of quantitative response of A. thaliana to a naturally occurring virus in a field environment, thereby highlighting relevant candidate genes involved in plant virus interactions in nature.
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Affiliation(s)
- Bernadette Rubio
- Univ. Bordeaux INRA, UMR Biologie du Fruit et Pathologie, 1332, 71 avenue Edouard Bourlaux, 33883, Villenave d'Ornon cedex, France
| | - Patrick Cosson
- Univ. Bordeaux INRA, UMR Biologie du Fruit et Pathologie, 1332, 71 avenue Edouard Bourlaux, 33883, Villenave d'Ornon cedex, France
| | - Mélodie Caballero
- Univ. Bordeaux INRA, UMR Biologie du Fruit et Pathologie, 1332, 71 avenue Edouard Bourlaux, 33883, Villenave d'Ornon cedex, France
| | - Frédéric Revers
- INRA, UMR 1202 BIOGECO, Université de Bordeaux, 69 Route d'Arcachon, 33612, Cestas Cedex, France
| | - Joy Bergelson
- Ecology & Evolution, University of Chicago, 1101 E 57th St, Chicago, IL, 60637, USA
| | - Fabrice Roux
- LIPM, INRA, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Valérie Schurdi-Levraud
- Univ. Bordeaux INRA, UMR Biologie du Fruit et Pathologie, 1332, 71 avenue Edouard Bourlaux, 33883, Villenave d'Ornon cedex, France
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135
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Fitzpatrick CR, Mustafa Z, Viliunas J. Soil microbes alter plant fitness under competition and drought. J Evol Biol 2019; 32:438-450. [PMID: 30739360 DOI: 10.1111/jeb.13426] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 02/02/2019] [Accepted: 02/05/2019] [Indexed: 01/02/2023]
Abstract
Plants exist across varying biotic and abiotic environments, including variation in the composition of soil microbial communities. The ecological effects of soil microbes on plant communities are well known, whereas less is known about their importance for plant evolutionary processes. In particular, the net effects of soil microbes on plant fitness may vary across environmental contexts and among plant genotypes, setting the stage for microbially mediated plant evolution. Here, we assess the effects of soil microbes on plant fitness and natural selection on flowering time in different environments. We performed two experiments in which we grew Arabidopsis thaliana genotypes replicated in either live or sterilized soil microbial treatments, and across varying levels of either competition (isolation, intraspecific competition or interspecific competition) or watering (well-watered or drought). We found large effects of competition and watering on plant fitness as well as the expression and natural selection of flowering time. Soil microbes increased average plant fitness under interspecific competition and drought and shaped the response of individual plant genotypes to drought. Finally, plant tolerance to either competition or drought was uncorrelated between soil microbial treatments suggesting that the plant traits favoured under environmental stress may depend on the presence of soil microbes. In summary, our experiments demonstrate that soil microbes can have large effects on plant fitness, which depend on both the environment and individual plant genotype. Future work in natural systems is needed for a complete understanding of the evolutionary importance of interactions between plants and soil microorganisms.
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Affiliation(s)
- Connor R Fitzpatrick
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.,Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Zainab Mustafa
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Joani Viliunas
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
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136
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Takou M, Wieters B, Kopriva S, Coupland G, Linstädter A, De Meaux J. Linking genes with ecological strategies in Arabidopsis thaliana. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:1141-1151. [PMID: 30561727 PMCID: PMC6382341 DOI: 10.1093/jxb/ery447] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/30/2018] [Accepted: 11/15/2018] [Indexed: 05/22/2023]
Abstract
Arabidopsis thaliana is the most prominent model system in plant molecular biology and genetics. Although its ecology was initially neglected, collections of various genotypes revealed a complex population structure, with high levels of genetic diversity and substantial levels of phenotypic variation. This helped identify the genes and gene pathways mediating phenotypic change. Population genetics studies further demonstrated that this variation generally contributes to local adaptation. Here, we review evidence showing that traits affecting plant life history, growth rate, and stress reactions are not only locally adapted, they also often co-vary. Co-variation between these traits indicates that they evolve as trait syndromes, and reveals the ecological diversification that took place within A. thaliana. We argue that examining traits and the gene that control them within the context of global summary schemes that describe major ecological strategies will contribute to resolve important questions in both molecular biology and ecology.
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Affiliation(s)
| | | | | | - George Coupland
- Max Planck Institute of Plant Breeding Research, Cologne, Germany
| | - Anja Linstädter
- Institute of Botany, University of Cologne, Germany
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Germany
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137
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Wang X, Yang M, Ren D, Terzaghi W, Deng XW, He G. Cis-regulated alternative splicing divergence and its potential contribution to environmental responses in Arabidopsis. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:555-570. [PMID: 30375060 DOI: 10.1111/tpj.14142] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 10/19/2018] [Accepted: 10/23/2018] [Indexed: 05/14/2023]
Abstract
Alternative splicing (AS) plays key roles in plant development and the responses of plants to environmental changes. However, the mechanisms underlying AS divergence (differential expression of transcript isoforms resulting from AS) in plant accessions and its contribution to responses to environmental stimuli remain unclear. In this study, we investigated genome-wide variation of AS in Arabidopsis thaliana accessions Col-0, Bur-0, C24, Kro-0 and Ler-1, as well as their F1 hybrids, and characterized the regulatory mechanisms for AS divergence by RNA sequencing. We found that most of the divergent AS events in Arabidopsis accessions were cis-regulated by sequence variation, including those in core splice site and splicing motifs. Many genes that differed in AS between Col-0 and Bur-0 were involved in stimulus responses. Further genome-wide association analyses of 22 environmental variables showed that single nucleotide polymorphisms influencing known splice site strength were also associated with environmental stress responses. These results demonstrate that cis-variation in genomic sequences among Arabidopsis accessions was the dominant contributor to AS divergence, and it may contribute to differences in environmental responses among Arabidopsis accessions.
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Affiliation(s)
- Xuncheng Wang
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, 100871, China
| | - Mei Yang
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, 100871, China
| | - Diqiu Ren
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, 100871, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, PA, 18766, USA
| | - Xing-Wang Deng
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, 100871, China
| | - Guangming He
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, 100871, China
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138
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Phenotypic and genome-wide association with the local environment of Arabidopsis. Nat Ecol Evol 2019; 3:274-285. [PMID: 30643246 DOI: 10.1038/s41559-018-0754-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 11/15/2018] [Indexed: 12/26/2022]
Abstract
The environment imposes critical selective forces on all living organisms, and the sessile nature of plants makes them particularly useful for investigating the relationship between genetic variation and environmental adaptation. In the model plant Arabidopsis thaliana, extensive information on phenotypic and genotypic variation is available, but comparable information on environmental variation within the native range of the species is lacking. Here, we compile 204 geoclimatic variables to describe the local environments of Arabidopsis accessions with known collection sites encompassing a wide geo-environmental range, and fully sequenced genomes from the 1001 Genomes Project. We identify candidate adaptive genetic variation associated with these environmental variables, and validate this approach through comparison with previous experimental studies, and by targeted confirmation of a role of the heterotrimeric G-protein γ subunit, AGG3, in cold tolerance, as newly predicted from our environmental genome wide association study (GWAS). To facilitate identification of adaptive variation, we created Arabidopsis CLIMtools : interactive web-based databases of the environment × genome associations and correlations between the local environments and 131 phenotypes compiled from previous experimental GWASs. Our study presents an extensive analysis of the local environments, landscape genomics and phenotypic variation of Arabidopsis, and illustrates how 'in silico GWAS' approaches can inform and complement experimental phenomics studies.
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139
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Mousavi‐Derazmahalleh M, Bayer PE, Hane JK, Valliyodan B, Nguyen HT, Nelson MN, Erskine W, Varshney RK, Papa R, Edwards D. Adapting legume crops to climate change using genomic approaches. PLANT, CELL & ENVIRONMENT 2019; 42:6-19. [PMID: 29603775 PMCID: PMC6334278 DOI: 10.1111/pce.13203] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 03/10/2018] [Indexed: 05/05/2023]
Abstract
Our agricultural system and hence food security is threatened by combination of events, such as increasing population, the impacts of climate change, and the need to a more sustainable development. Evolutionary adaptation may help some species to overcome environmental changes through new selection pressures driven by climate change. However, success of evolutionary adaptation is dependent on various factors, one of which is the extent of genetic variation available within species. Genomic approaches provide an exceptional opportunity to identify genetic variation that can be employed in crop improvement programs. In this review, we illustrate some of the routinely used genomics-based methods as well as recent breakthroughs, which facilitate assessment of genetic variation and discovery of adaptive genes in legumes. Although additional information is needed, the current utility of selection tools indicate a robust ability to utilize existing variation among legumes to address the challenges of climate uncertainty.
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Affiliation(s)
- Mahsa Mousavi‐Derazmahalleh
- UWA School of Agriculture and EnvironmentThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- School of Biological SciencesThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
| | - Philipp E. Bayer
- School of Biological SciencesThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
| | - James K. Hane
- CCDM BioinformaticsCentre for Crop Disease Management, Curtin UniversityBentleyWestern Australia6102Australia
| | - Babu Valliyodan
- Division of Plant Sciences and National Center for Soybean BiotechnologyUniversity of MissouriColumbiaMO65211USA
| | - Henry T. Nguyen
- Division of Plant Sciences and National Center for Soybean BiotechnologyUniversity of MissouriColumbiaMO65211USA
| | - Matthew N. Nelson
- UWA School of Agriculture and EnvironmentThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- Natural Capital and Plant HealthRoyal Botanic Gardens Kew, Wakehurst PlaceArdinglyWest SussexRH17 6TNUK
- The UWA Institute of AgricultureThe University of Western Australia35 Stirling HighwayPerthWestern Australia6009Australia
| | - William Erskine
- UWA School of Agriculture and EnvironmentThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- Centre for Plant Genetics and BreedingThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- The UWA Institute of AgricultureThe University of Western Australia35 Stirling HighwayPerthWestern Australia6009Australia
| | - Rajeev K. Varshney
- UWA School of Agriculture and EnvironmentThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- The UWA Institute of AgricultureThe University of Western Australia35 Stirling HighwayPerthWestern Australia6009Australia
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)Patancheru502 324India
| | - Roberto Papa
- Department of Agricultural, Food, and Environmental SciencesUniversità Politecnica delle Marche60131AnconaItaly
| | - David Edwards
- School of Biological SciencesThe University of Western Australia35 Stirling HighwayCrawleyWestern Australia6009Australia
- The UWA Institute of AgricultureThe University of Western Australia35 Stirling HighwayPerthWestern Australia6009Australia
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140
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Xie H, Sun Y, Cheng B, Xue S, Cheng D, Liu L, Meng L, Qiang S. Variation in ICE1 Methylation Primarily Determines Phenotypic Variation in Freezing Tolerance in Arabidopsis thaliana. PLANT & CELL PHYSIOLOGY 2019; 60:152-165. [PMID: 30295898 DOI: 10.1093/pcp/pcy197] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Indexed: 05/26/2023]
Abstract
Cold stress is a major abiotic factor plants face during their life cycle. Although plants often exhibit phenotypic variation in cold tolerance, the underlying mechanism remains poorly understood. In the present study, the 50% lethal temperature (LT50) values of 37 Arabidopsis thaliana accessions at latitudes from 15° to 58° ranged from -13.2°C to -4.9°C and were closely correlated with the cold climates of the collection sites. According to a methylation analysis of all C-repeat (CRT)-binding factor (CBF) pathway genes, the coding and promoter regions of AtICE1, a regulator of CBF genes, exhibited the greatest variability in methylation levels among the accessions and included 5-122 methylated cytosine residues. In contrast, unmethylated or only slightly methylated genes in the CBF pathway showed little variation among the accessions. According to a gene expression analysis of four selected A. thaliana populations with distinct methylation patterns, except for the down-regulated gene AtCBF2, the expression levels of all members of the CBF pathway were negatively correlated with AtICE1 gene methylation levels. Treatment of the four A. thaliana populations with the DNA methylation inhibitory reagent 5-azacytidine resulted in a 30.0-78.3% enhancement of freezing tolerance and decreases in LT50 values of approximately 1.9-3.6°C. Similar effects were observed in drm2 mutants, including 30.0-48.3% increases in freezing tolerance and decreases in LT50 values of approximately 0.7-3.4°C. Thus, the AtICE1 methylation-regulated transcription of CBF pathway genes is responsible for the phenotypic variation in the freezing tolerance observed in A. thaliana.
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Affiliation(s)
- Hongjie Xie
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Yuli Sun
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Biao Cheng
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Siming Xue
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Dan Cheng
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Linli Liu
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Lingchao Meng
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
| | - Sheng Qiang
- Weed Research Laboratory, Nanjing Agricultural University, Nanjing, China
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141
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Zaidem ML, Groen SC, Purugganan MD. Evolutionary and ecological functional genomics, from lab to the wild. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:40-55. [PMID: 30444573 DOI: 10.1111/tpj.14167] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 11/10/2018] [Accepted: 11/13/2018] [Indexed: 05/12/2023]
Abstract
Plant phenotypes are the result of both genetic and environmental forces that act to modulate trait expression. Over the last few years, numerous approaches in functional genomics and systems biology have led to a greater understanding of plant phenotypic variation and plant responses to the environment. These approaches, and the questions that they can address, have been loosely termed evolutionary and ecological functional genomics (EEFG), and have been providing key insights on how plants adapt and evolve. In particular, by bringing these studies from the laboratory to the field, EEFG studies allow us to gain greater knowledge of how plants function in their natural contexts.
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Affiliation(s)
- Maricris L Zaidem
- Department of Biology, Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York, NY, 10003, USA
| | - Simon C Groen
- Department of Biology, Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York, NY, 10003, USA
| | - Michael D Purugganan
- Department of Biology, Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York, NY, 10003, USA
- Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates
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142
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Duruflé H, Ranocha P, Mbadinga Mbadinga DL, Déjean S, Bonhomme M, San Clemente H, Viudes S, Eljebbawi A, Delorme-Hinoux V, Sáez-Vásquez J, Reichheld JP, Escaravage N, Burrus M, Dunand C. Phenotypic Trait Variation as a Response to Altitude-Related Constraints in Arabidopsis Populations. FRONTIERS IN PLANT SCIENCE 2019; 10:430. [PMID: 31024596 PMCID: PMC6465555 DOI: 10.3389/fpls.2019.00430] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 03/21/2019] [Indexed: 05/12/2023]
Abstract
UNLABELLED Natural variations help in identifying genetic mechanisms of morphologically and developmentally complex traits. Mountainous habitats provide an altitudinal gradient where one species encounters different abiotic conditions. We report the study of 341 individuals of Arabidopsis thaliana derived from 30 natural populations not belonging to the 1001 genomes, collected at increasing altitudes, between 200 and 1800 m in the Pyrenees. Class III peroxidases and ribosomal RNA sequences were used as markers to determine the putative genetic relationships among these populations along their altitudinal gradient. Using Bayesian-based statistics and phylogenetic analyses, these Pyrenean populations appear with significant divergence from the other regional accessions from 1001 genome (i.e., from north Spain or south France). Individuals of these populations exhibited varying phenotypic changes, when grown at sub-optimal temperature (22 vs. 15°C). These phenotypic variations under controlled conditions reflected intraspecific morphological variations. This study could bring new information regarding the west European population structure of A. thaliana and its phenotypic variations at different temperatures. The integrative analysis combining genetic, phenotypic variation and environmental datasets is used to analyze the acclimation of population in response to temperature changes. Regarding their geographical proximity and environmental diversity, these populations represent a tool of choice for studying plant response to temperature variation. HIGHLIGHTS -Studying the natural diversity of A. thaliana in the Pyrenees mountains helps to understand European population structure and to evaluate the phenotypic trait variation in response to climate change.
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Affiliation(s)
- Harold Duruflé
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Philippe Ranocha
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Duchesse Lacour Mbadinga Mbadinga
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Sébastien Déjean
- Institut de Mathématiques de Toulouse, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Maxime Bonhomme
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Hélène San Clemente
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Sébastien Viudes
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Ali Eljebbawi
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
| | - Valerie Delorme-Hinoux
- Laboratoire Génome et Développement des Plantes, Université Perpignan Via Domitia, Perpignan, France
- Laboratoire Génome et Développement des Plantes, CNRS, Perpignan, France
| | - Julio Sáez-Vásquez
- Laboratoire Génome et Développement des Plantes, Université Perpignan Via Domitia, Perpignan, France
- Laboratoire Génome et Développement des Plantes, CNRS, Perpignan, France
| | - Jean-Philippe Reichheld
- Laboratoire Génome et Développement des Plantes, Université Perpignan Via Domitia, Perpignan, France
- Laboratoire Génome et Développement des Plantes, CNRS, Perpignan, France
| | - Nathalie Escaravage
- Université Toulouse 3 Paul Sabatier, CNRS, ENFA, UMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Toulouse, France
| | - Monique Burrus
- Université Toulouse 3 Paul Sabatier, CNRS, ENFA, UMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Toulouse, France
| | - Christophe Dunand
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Castanet Tolosan, France
- *Correspondence: Christophe Dunand,
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143
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Cortés AJ, Garzón LN, Valencia JB, Madriñán S. On the Causes of Rapid Diversification in the Páramos: Isolation by Ecology and Genomic Divergence in Espeletia. FRONTIERS IN PLANT SCIENCE 2018; 9:1700. [PMID: 30581444 PMCID: PMC6294130 DOI: 10.3389/fpls.2018.01700] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 11/01/2018] [Indexed: 05/10/2023]
Abstract
How diversity arises and what is the relative role of allopatric and ecological divergence are among the most persistent questions in evolution and ecology. Here, we assessed whether ecological divergence has enhanced the diversification of the Neotropical alpine plant complex Espeletia, also known as frailejones. This genus has one of the highest diversification rates ever reported and is distributed in the world's fastest evolving biodiversity hotspot, the Páramo (Neotropical alpine grasslands at elevations of c. 2800-4700 m). Our goal was to determine whether ecology plays a role in divergence within the Espeletia complex by quantifying genome-wide patterns of ecological divergence. We characterized 162 samples of the three most common and contrasting ecotypes (distinct morphotypes occupying particular habitats) co-occurring in six localities in the northern Andes using Genotyping by Sequencing. Contrasting ecotypes were caulescent cloud forest populations, caulescent populations from wind-sheltered and well-irrigated depressions and acaulescent populations from wind-exposed drier slopes. We found high polymorphism with a total of 1,273 single nucleotide polymorphisms (SNPs) that defined the relationships among nine genetic clusters. We quantified allelic associations of these markers with localities and habitats using 18 different general and mixed-effects statistical models that accounted for phylogenetic distance. Despite that these models always yielded more SNPs associated with the localities, markers associated with the habitat types were recovered too. We found strong evidence for isolation-by-distance (IBD) across populations despite rampant gene flow, as expected for plant groups with limited seed dispersal. Contrasts between populations of different habitat types showed that an isolation-by-environment (IBE) trend emerged and masked the IBD signal. Maximum likelihood estimation of the number of migrants per generation (Nem) among ecotypes confirmed the IBE pattern. This result illustrates the importance of mountains' environmental variation at a local scale in generating rapid morphological radiations and maintaining multiple adaptations in a fast-evolving ecosystem like the Páramo.
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Affiliation(s)
- Andrés J. Cortés
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Luz N. Garzón
- Escuela de Biología, Universidad Industrial de Santander, Bucaramanga, Colombia
| | - Jhon B. Valencia
- Facultad de Ingeniera y Administracin, Universidad Nacional de Colombia - Sede Palmira, Palmira, Colombia
| | - Santiago Madriñán
- Departamento de Ciencias Biológicas, Universidad de los Andes, Bogotá, Colombia
- Jardín Botánico de Cartagena “Guillermo Piñeres”, Turbaco, Colombia
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144
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Bamba M, Kawaguchi YW, Tsuchimatsu T. Plant adaptation and speciation studied by population genomic approaches. Dev Growth Differ 2018; 61:12-24. [DOI: 10.1111/dgd.12578] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 10/22/2018] [Accepted: 10/22/2018] [Indexed: 12/20/2022]
Affiliation(s)
- Masaru Bamba
- Department of Biology (Frontier Science Program); Graduate School of Science and Engineering; Chiba University; Chiba Japan
| | - Yawako W. Kawaguchi
- Department of Biology (Frontier Science Program); Graduate School of Science and Engineering; Chiba University; Chiba Japan
| | - Takashi Tsuchimatsu
- Department of Biology; Graduate School of Science; Chiba University; Chiba Japan
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145
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Wallace JG, Rodgers-Melnick E, Buckler ES. On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics. Annu Rev Genet 2018; 52:421-444. [DOI: 10.1146/annurev-genet-120116-024846] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Understanding the quantitative genetics of crops has been and will continue to be central to maintaining and improving global food security. We outline four stages that plant breeding either has already achieved or will probably soon achieve. Top-of-the-line breeding programs are currently in Breeding 3.0, where inexpensive, genome-wide data coupled with powerful algorithms allow us to start breeding on predicted instead of measured phenotypes. We focus on three major questions that must be answered to move from current Breeding 3.0 practices to Breeding 4.0: ( a) How do we adapt crops to better fit agricultural environments? ( b) What is the nature of the diversity upon which breeding can act? ( c) How do we deal with deleterious variants? Answering these questions and then translating them to actual gains for farmers will be a significant part of achieving global food security in the twenty-first century.
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Affiliation(s)
- Jason G. Wallace
- Department of Crop and Soil Sciences, The University of Georgia, Athens, Georgia 30602, USA
| | | | - Edward S. Buckler
- United States Department of Agriculture, Agricultural Research Service, Ithaca, New York 14853, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA
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146
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Walker TWN, Weckwerth W, Bragazza L, Fragner L, Forde BG, Ostle NJ, Signarbieux C, Sun X, Ward SE, Bardgett RD. Plastic and genetic responses of a common sedge to warming have contrasting effects on carbon cycle processes. Ecol Lett 2018; 22:159-169. [PMID: 30556313 PMCID: PMC6334510 DOI: 10.1111/ele.13178] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 02/02/2023]
Abstract
Climate warming affects plant physiology through genetic adaptation and phenotypic plasticity, but little is known about how these mechanisms influence ecosystem processes. We used three elevation gradients and a reciprocal transplant experiment to show that temperature causes genetic change in the sedge Eriophorum vaginatum. We demonstrate that plants originating from warmer climate produce fewer secondary compounds, grow faster and accelerate carbon dioxide (CO2) release to the atmosphere. However, warmer climate also caused plasticity in E. vaginatum, inhibiting nitrogen metabolism, photosynthesis and growth and slowing CO2 release into the atmosphere. Genetic differentiation and plasticity in E. vaginatum thus had opposing effects on CO2 fluxes, suggesting that warming over many generations may buffer, or reverse, the short‐term influence of this species over carbon cycle processes. Our findings demonstrate the capacity for plant evolution to impact ecosystem processes, and reveal a further mechanism through which plants will shape ecosystem responses to climate change.
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Affiliation(s)
- Tom W N Walker
- School of Earth and Environmental Sciences, The University of Manchester, Manchester, M13 9PL, UK.,Centre for Ecology and Hydrology, Lancaster, LA1 4AP, UK.,Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
| | - Wolfram Weckwerth
- Department of Ecogenomics & Systems Biology, University of Vienna, 1090, Vienna, Austria.,Vienna Metabolomics Centre (VIME), University of Vienna, 1090, Vienna, Austria
| | - Luca Bragazza
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), 1015, Lausanne, Switzerland.,Ecological Systems Laboratory (ECOS), École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.,Department of Life Science and Biotechnologies, University of Ferrara, 44100, Ferrara, Italy
| | - Lena Fragner
- Department of Ecogenomics & Systems Biology, University of Vienna, 1090, Vienna, Austria.,Vienna Metabolomics Centre (VIME), University of Vienna, 1090, Vienna, Austria
| | - Brian G Forde
- Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
| | - Nicholas J Ostle
- Centre for Ecology and Hydrology, Lancaster, LA1 4AP, UK.,Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
| | - Constant Signarbieux
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), 1015, Lausanne, Switzerland.,Ecological Systems Laboratory (ECOS), École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Xiaoliang Sun
- Department of Ecogenomics & Systems Biology, University of Vienna, 1090, Vienna, Austria.,Vienna Metabolomics Centre (VIME), University of Vienna, 1090, Vienna, Austria
| | - Susan E Ward
- Lancaster Environment Centre, Lancaster University, LA1 4YQ, Lancaster, UK
| | - Richard D Bardgett
- School of Earth and Environmental Sciences, The University of Manchester, Manchester, M13 9PL, UK
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147
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Tournebize R, Poncet V, Jakobsson M, Vigouroux Y, Manel S. McSwan: A joint site frequency spectrum method to detect and date selective sweeps across multiple population genomes. Mol Ecol Resour 2018; 19:283-295. [PMID: 30358170 DOI: 10.1111/1755-0998.12957] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 10/17/2018] [Accepted: 10/18/2018] [Indexed: 01/01/2023]
Abstract
Inferring the mode and tempo of natural selection helps further our understanding of adaptation to past environmental changes. Here, we introduce McSwan, a method to detect and date past and recent natural selection events in the case of a hard sweep. The method is based on the comparison of site frequency spectra obtained under various demographic models that include selection. McSwan demonstrated high power (high sensitivity and specificity) in capturing hard selective sweep events without requiring haplotype phasing. It performed slightly better than SweeD when the recent effective population size was low and the genomic region was small. We then applied our method to a European (CEU) and an African (LWK) human re-sequencing data set. Most hard sweeps were detected in the CEU population (96%). Moreover, hard sweeps in the African population were estimated to have occurred further back in time (mode: 43,625 years BP) compared to those of Europeans (mode: 24,850 years BP). Most of the estimated ages of hard sweeps in Europeans were associated with the Last Glacial Maximum and were enriched in immunity-associated genes.
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Affiliation(s)
- Rémi Tournebize
- IRD, University of Montpellier, UMR DIADE BP 64501, Montpellier Cedex 5, France
| | - Valérie Poncet
- IRD, University of Montpellier, UMR DIADE BP 64501, Montpellier Cedex 5, France
| | - Mattias Jakobsson
- Department of Organismal Biology and SciLifeLab, Uppsala University, Uppsala, Sweden.,Centre for Anthropological Research, Department of Anthropology and Development Studies, University of Johannesburg, Auckland Park, South Africa
| | - Yves Vigouroux
- IRD, University of Montpellier, UMR DIADE BP 64501, Montpellier Cedex 5, France
| | - Stéphanie Manel
- EPHE, PSL Research University, CNRS, University of Montpellier, Montpellier SupAgro, IRD, INRA, UMR:5175 CEFE, Montpellier, France
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148
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Babin C, Gagnaire PA, Pavey SA, Bernatchez L. RAD-Seq Reveals Patterns of Additive Polygenic Variation Caused by Spatially-Varying Selection in the American Eel (Anguilla rostrata). Genome Biol Evol 2018; 9:2974-2986. [PMID: 29136139 PMCID: PMC5714190 DOI: 10.1093/gbe/evx226] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2017] [Indexed: 12/17/2022] Open
Abstract
The American Eel (Anguilla rostrata) has an exceptional life cycle characterized by panmictic reproduction at the species scale, random dispersal, and selection in a highly heterogeneous habitat extending from subtropical to subarctic latitudes. The genetic consequences of spatially-varying selection in this species have been investigated for decades, revealing subtle clines in allele frequency at a few loci that contrast with complete panmixia on the vast majority of the genome. Because reproduction homogenizes allele frequencies every generation, sampling size, and genomic coverage are critical to reach sufficient power to detect selected loci in this context. Here, we used a total of 710 individuals from 12 sites and 12,098 high-quality single nucleotide polymorphisms to re-evaluate the extent to which local selection affects the spatial distribution of genetic diversity in this species. We used environmental association methods to identify markers under spatially-varying selection, which indicated that selection affects ∼1.5% of the genome. We then evaluated the extent to which candidate markers collectively vary with environmental factors using additive polygenic scores. We found significant correlations between polygenic scores and latitude, longitude and temperature which are consistent with polygenic selection acting against maladapted genotypes in different habitats occupied by eels throughout their range of distribution. Gene functions associated with outlier markers were significantly enriched for the insulin signaling pathway, indicating that the trade-offs inherent to occupying such a large distribution range involve the regulation of metabolism. Overall, this study highlights the potential of the additive polygenic scores approach in detecting selective effects in a complex environment.
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Affiliation(s)
- Charles Babin
- IBIS (Institut de biologie intégrative et des systèmes), Département de biologie, Université Laval, Québec, Canada
| | | | - Scott A Pavey
- Department of Biological Sciences and Canadian Rivers Institute, University of New Brunswick, Saint-John, Canada
| | - Louis Bernatchez
- IBIS (Institut de biologie intégrative et des systèmes), Département de biologie, Université Laval, Québec, Canada
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149
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Gould BA, Palacio-Mejia JD, Jenkins J, Mamidi S, Barry K, Schmutz J, Juenger TE, Lowry DB. Population genomics and climate adaptation of a C4 perennial grass, Panicum hallii (Poaceae). BMC Genomics 2018; 19:792. [PMID: 30384830 PMCID: PMC6211516 DOI: 10.1186/s12864-018-5179-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 10/17/2018] [Indexed: 11/13/2022] Open
Abstract
Background Understanding how and why genetic variation is partitioned across geographic space is of fundamental importance to understanding the nature of biological species. How geographical isolation and local adaptation contribute to the formation of ecotypically differentiated groups of plants is just beginning to be understood through population genomic studies. We used whole genome sequencing combined with association study of climate to discover the drivers of differentiation in the perennial C4 grass Panicum hallii. Results Sequencing of 89 natural accessions of P.hallii revealed complex population structure across the species range. Major population genomic separation was found between subspecies P.hallii var. hallii and var. filipes as well as between at least four major unrecognized subgroups within var. hallii. At least 139 genomic SNPs were significantly associated with temperature or precipitation across the range and these SNPs were enriched for non-synonymous substitutions. SNPs associated with temperature and aridity were more often found in or near genes than expected by chance and enriched for putative involvement in dormancy processes, seed maturation, response to hyperosmosis and salinity, abscisic acid metabolism, hormone metabolism, and drought recovery. Conclusions Both geography and climate adaptation contribute significantly to patterns of genome-wide variation in P.hallii. Population subgroups within P.hallii may represent early stages in the formation of ecotypes. Climate associated loci identified here represent promising targets for future research in this and other perennial grasses. Electronic supplementary material The online version of this article (10.1186/s12864-018-5179-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Billie A Gould
- Myriad Women's Health, South San Francisco, CA, 94080, USA.,Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA.,Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, 48824, USA
| | | | - Jerry Jenkins
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Kerrie Barry
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA.,Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, 78712, USA
| | - David B Lowry
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA. .,Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, 48824, USA. .,Plant Resilience Institute, Michigan State University, East Lansing, MI, 48824, USA.
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150
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Genomic signatures of local adaptation to the degree of environmental predictability in rotifers. Sci Rep 2018; 8:16051. [PMID: 30375419 PMCID: PMC6207753 DOI: 10.1038/s41598-018-34188-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 09/27/2018] [Indexed: 11/09/2022] Open
Abstract
Environmental fluctuations are ubiquitous and thus essential for the study of adaptation. Despite this, genome evolution in response to environmental fluctuations —and more specifically to the degree of environmental predictability– is still unknown. Saline lakes in the Mediterranean region are remarkably diverse in their ecological conditions, which can lead to divergent local adaptation patterns in the inhabiting aquatic organisms. The facultatively sexual rotifer Brachionus plicatilis shows diverging local adaptation in its life-history traits in relation to estimated environmental predictability in its habitats. Here, we used an integrative approach —combining environmental, phenotypic and genomic data for the same populations– to understand the genomic basis of this diverging adaptation. Firstly, a novel draft genome for B. plicatilis was assembled. Then, genome-wide polymorphisms were studied using genotyping by sequencing on 270 clones from nine populations in eastern Spain. As a result, 4,543 high-quality SNPs were identified and genotyped. More than 90 SNPs were found to be putatively under selection with signatures of diversifying and balancing selection. Over 140 SNPs were correlated with environmental or phenotypic variables revealing signatures of local adaptation, including environmental predictability. Putative functions were associated to most of these SNPs, since they were located within annotated genes. Our results reveal associations between genomic variation and the degree of environmental predictability, providing genomic evidence of adaptation to local conditions in natural rotifer populations.
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