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Castellana S, Triozzi PM, Dell'Acqua M, Loreti E, Perata P. Environmental genome-wide association studies across precipitation regimes reveal that the E3 ubiquitin ligase MBR1 regulates plant adaptation to rainy environments. PLANT COMMUNICATIONS 2024:101074. [PMID: 39217417 DOI: 10.1016/j.xplc.2024.101074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 06/26/2024] [Accepted: 08/30/2024] [Indexed: 09/04/2024]
Abstract
In an era characterized by rapidly changing and less-predictable weather conditions fueled by the climate crisis, understanding the mechanisms underlying local adaptation in plants is of paramount importance for the conservation of species. As the frequency and intensity of extreme precipitation events increase, so are the flooding events resulting from soil water saturation. The subsequent onset of hypoxic stress is one of the leading causes of crop damage and yield loss. By combining genomics and remote sensing data, it is now possible to probe natural plant populations that have evolved in different rainfall regimes and look for molecular adaptation to hypoxia. Here, using an environmental genome-wide association study (eGWAS) of 934 non-redundant georeferenced Arabidopsis ecotypes, we have identified functional variants of the gene MED25 BINDING RING-H2 PROTEIN 1 (MBR1). This gene encodes a ubiquitin-protein ligase that regulates MEDIATOR25 (MED25), part of a multiprotein complex that interacts with transcription factors that act as key drivers of the hypoxic response in Arabidopsis, namely the RELATED TO AP2 proteins RAP2.2 and RAP2.12. Through experimental validation, we show that natural variants of MBR1 have different effects on the stability of MED25 and, in turn, on hypoxia tolerance. This study also highlights the pivotal role of the MBR1/MED25 module in establishing a comprehensive hypoxic response. Our findings show that molecular candidates for plant environmental adaptation can be effectively mined from large datasets. This thus supports the need for integration of forward and reverse genetics with robust molecular physiology validation of outcomes.
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Affiliation(s)
- Simone Castellana
- Institute of Plant Sciences, Scuola Superiore Sant'Anna, Via Guidiccioni 10, San Giuliano Terme (Pisa), Italy
| | - Paolo Maria Triozzi
- Institute of Plant Sciences, Scuola Superiore Sant'Anna, Via Guidiccioni 10, San Giuliano Terme (Pisa), Italy
| | - Matteo Dell'Acqua
- Institute of Plant Sciences, Scuola Superiore Sant'Anna, Via Guidiccioni 10, San Giuliano Terme (Pisa), Italy
| | - Elena Loreti
- Institute of Agricultural Biology and Biotechnology, CNR, National Research Council, Via Moruzzi 1, Pisa, Italy
| | - Pierdomenico Perata
- Institute of Plant Sciences, Scuola Superiore Sant'Anna, Via Guidiccioni 10, San Giuliano Terme (Pisa), Italy.
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2
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Strickland K, Räsänen K, Kristjánsson BK, Phillips JS, Einarsson A, Snorradóttir RG, Bartrons M, Jónsson ZO. Genome-phenotype-environment associations identify signatures of selection in a panmictic population of threespine stickleback. Mol Ecol 2023; 32:1708-1725. [PMID: 36627230 DOI: 10.1111/mec.16845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 12/01/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023]
Abstract
Adaptive genetic divergence occurs when selection imposed by the environment causes the genomic component of the phenotype to differentiate. However, genomic signatures of natural selection are usually identified without information on which trait is responding to selection by which selective agent(s). Here, we integrate whole-genome sequencing with phenomics and measures of putative selective agents to assess the extent of adaptive divergence in threespine stickleback occupying the highly heterogeneous lake Mývatn, NE Iceland. We find negligible genome wide divergence, yet multiple traits (body size, gill raker structure and defence traits) were divergent along known ecological gradients (temperature, predatory bird densities and water depth). SNP based heritability of all measured traits was high (h2 = 0.42-0.65), indicating adaptive potential for all traits. Environment-association analyses further identified thousands of loci putatively involved in selection, related to genes linked to, for instance, neuron development and protein phosphorylation. Finally, we found that loci linked to water depth were concurrently associated with pelvic spine length variation - supporting the conclusion that divergence in pelvic spine length occurred in the face of gene flow. Our results suggest that whilst there is substantial genetic variation in the traits measured, phenotypic divergence of Mývatn stickleback is mostly weakly associated with environmental gradients, potentially as a result of substantial gene flow. Our study illustrates the value of integrative studies that combine genomic assays of multivariate trait variation with landscape genomics.
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Affiliation(s)
- Kasha Strickland
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.,Department of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland
| | - Katja Räsänen
- Department of Aquatic Ecology, EAWAG and Institute of Integrative Biology, ETH, Zurich, Switzerland.,Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
| | | | - Joseph S Phillips
- Department of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland.,Department of Biology, Creighton University, Omaha, Nebraska, USA
| | | | - Ragna G Snorradóttir
- Department of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland
| | - Mireia Bartrons
- Aquatic Ecology Group, University of Vic (UVic-UCC), Catalonia, Spain
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3
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Pearson SM, Griffiths AG, Maclean P, Larking AC, Hong SW, Jauregui R, Miller P, McKenzie CM, Lockhart PJ, Tate JA, Ford JL, Faville MJ. Outlier analyses and genome-wide association study identify glgC and ERD6-like 4 as candidate genes for foliar water-soluble carbohydrate accumulation in Trifolium repens. FRONTIERS IN PLANT SCIENCE 2023; 13:1095359. [PMID: 36699852 PMCID: PMC9868827 DOI: 10.3389/fpls.2022.1095359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Increasing water-soluble carbohydrate (WSC) content in white clover is important for improving nutritional quality and reducing environmental impacts from pastoral agriculture. Elucidation of genes responsible for foliar WSC variation would enhance genetic improvement by enabling molecular breeding approaches. The aim of the present study was to identify single nucleotide polymorphisms (SNPs) associated with variation in foliar WSC in white clover. A set of 935 white clover individuals, randomly sampled from five breeding pools selectively bred for divergent (low or high) WSC content, were assessed with 14,743 genotyping-by-sequencing SNPs, using three outlier detection methods: PCAdapt, BayeScan and KGD-FST. These analyses identified 33 SNPs as discriminating between high and low WSC populations and putatively under selection. One SNP was located in the intron of ERD6-like 4, a gene coding for a sugar transporter located on the vacuole membrane. A genome-wide association study using a subset of 605 white clover individuals and 5,757 SNPs, identified a further 12 SNPs, one of which was associated with a starch biosynthesis gene, glucose-1-phosphate adenylyltransferase, glgC. Our results provide insight into genomic regions underlying WSC accumulation in white clover, identify candidate genomic regions for further functional validation studies, and reveal valuable information for marker-assisted or genomic selection in white clover.
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Affiliation(s)
- Sofie M. Pearson
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | | | - Paul Maclean
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | - Anna C. Larking
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | - S. Won Hong
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | - Ruy Jauregui
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | - Poppy Miller
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
| | | | - Peter J. Lockhart
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Jennifer A. Tate
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
| | - John L. Ford
- Grasslands, PGG Wrightson Seeds Limited, Palmerston North, New Zealand
| | - Marty J. Faville
- Resilient Agriculture, AgResearch Grasslands, Palmerston North, New Zealand
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4
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Lasky JR, Josephs EB, Morris GP. Genotype-environment associations to reveal the molecular basis of environmental adaptation. THE PLANT CELL 2023; 35:125-138. [PMID: 36005926 PMCID: PMC9806588 DOI: 10.1093/plcell/koac267] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/23/2022] [Indexed: 06/14/2023]
Abstract
A fundamental goal in plant biology is to identify and understand the variation underlying plants' adaptation to their environment. Climate change has given new urgency to this goal, as society aims to accelerate adaptation of ecologically important plant species, endangered plant species, and crops to hotter, less predictable climates. In the pre-genomic era, identifying adaptive alleles was painstaking work, leveraging genetics, molecular biology, physiology, and ecology. Now, the rise of genomics and new computational approaches may facilitate this research. Genotype-environment associations (GEAs) use statistical associations between allele frequency and environment of origin to test the hypothesis that allelic variation at a given gene is adapted to local environments. Researchers may scan the genome for GEAs to generate hypotheses on adaptive genetic variants (environmental genome-wide association studies). Despite the rapid adoption of these methods, many important questions remain about the interpretation of GEA findings, which arise from fundamental unanswered questions on the genetic architecture of adaptation and limitations inherent to association-based analyses. We outline strategies to ground GEAs in the underlying hypotheses of genetic architecture and better test GEA-generated hypotheses using genetics and ecophysiology. We provide recommendations for new users who seek to learn about the molecular basis of adaptation. When combined with a rigorous hypothesis testing framework, GEAs may facilitate our understanding of the molecular basis of climate adaptation for plant improvement.
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Affiliation(s)
- Jesse R Lasky
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Emily B Josephs
- Department of Plant Biology; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan 48824, USA
| | - Geoffrey P Morris
- Department of Soil and Crop Sciences; Cell and Molecular Biology Program, Colorado State University, Fort Collins, Colorado 80526, USA
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5
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Wang Y, Zhang L, Zhou Y, Ma W, Li M, Guo P, Feng L, Fu C. Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China. Front Genet 2023; 14:1150704. [PMID: 37144128 PMCID: PMC10151583 DOI: 10.3389/fgene.2023.1150704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 04/04/2023] [Indexed: 05/06/2023] Open
Abstract
Understanding adaptive genetic variation of plant populations and their vulnerabilities to climate change are critical to preserve biodiversity and subsequent management interventions. To this end, landscape genomics may represent a cost-efficient approach for investigating molecular signatures underlying local adaptation. Tetrastigma hemsleyanum is, in its native habitat, a widespread perennial herb of warm-temperate evergreen forest in subtropical China. Its ecological and medicinal values constitute a significant revenue for local human populations and ecosystem. Using 30,252 single nucleotide polymorphisms (SNPs) derived from reduced-representation genome sequencing in 156 samples from 24 sites, we conducted a landscape genomics study of the T. hemsleyanum to elucidate its genomic variation across multiple climate gradients and genomic vulnerability to future climate change. Multivariate methods identified that climatic variation explained more genomic variation than that of geographical distance, which implied that local adaptation to heterogeneous environment might represent an important source of genomic variation. Among these climate variables, winter precipitation was the strongest predictor of the contemporary genetic structure. F ST outlier tests and environment association analysis totally identified 275 candidate adaptive SNPs along the genetic and environmental gradients. SNP annotations of these putatively adaptive loci uncovered gene functions associated with modulating flowering time and regulating plant response to abiotic stresses, which have implications for breeding and other special agricultural aims on the basis of these selection signatures. Critically, modelling revealed that the high genomic vulnerability of our focal species via a mismatch between current and future genotype-environment relationships located in central-northern region of the T. hemsleyanum's range, where populations require proactive management efforts such as assistant adaptation to cope with ongoing climate change. Taken together, our results provide robust evidence of local climate adaption for T. hemsleyanum and further deepen our understanding of adaptation basis of herbs in subtropical China.
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Affiliation(s)
- Yihan Wang
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
| | - Lin Zhang
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
- College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, China
| | - Yuchao Zhou
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
| | - Wenxin Ma
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
| | - Manyu Li
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
| | - Peng Guo
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
- Henan Engineering Research Center for Osmanthus Germplasm Innovation and Resource Utilization, Henan Agricultural University, Zhengzhou, China
- *Correspondence: Peng Guo, ; Li Feng,
| | - Li Feng
- School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Peng Guo, ; Li Feng,
| | - Chengxin Fu
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, College of Life Sciences, Zhejiang University, Hangzhou, China
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6
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Li YS, Liao PC, Chang CT, Hwang SY. Pattern of Adaptive Divergence in Zingiber kawagoii Hayata (Zingiberaceae) along a Narrow Latitudinal Range. PLANTS 2022; 11:plants11192490. [PMID: 36235357 PMCID: PMC9573048 DOI: 10.3390/plants11192490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/16/2022] [Accepted: 09/20/2022] [Indexed: 11/30/2022]
Abstract
Ecological and evolutionary processes linking adaptation to environment are related to species’ range shifts. In this study, we employed amplified-fragment-length-polymorphism-based genome scan methods to identify candidate loci among Zingiber kawagoii populations inhabiting varying environments distributed at low to middle elevations (143–1488 m) in a narrow latitudinal range (between 21.90 and 25.30° N). Here, we show evidence of selection driving the divergence of Z. kawagoii. Twenty-six FST outliers were detected, which were significantly correlated with various environmental variables. The allele frequencies of nine FST outliers were either positively or negatively correlated with the population mean FST. Using several independent approaches, we found environmental variables act in a combinatorial fashion, best explaining outlier genetic variation. Nonetheless, we found that adaptive divergence was affected mostly by annual temperature range, and it is significantly positively correlated with latitude and significantly negatively correlated with the population mean FST. This study addresses a latitudinal pattern of changes in annual temperature range (which ranged from 13.8 °C in the Lanyu population to 18.5 °C in the Wulai population) and emphasizes the pattern of latitudinal population divergence closely linked to the allele frequencies of adaptive loci, acting in a narrow latitudinal range. Our results also indicate environmentally dependent local adaptation for both leading- and trailing-edge populations.
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Affiliation(s)
- Yi-Shao Li
- School of Life Science, National Taiwan Normal University, 88 Tingchow Road, Section 4, Taipei 11677, Taiwan
| | - Pei-Chun Liao
- School of Life Science, National Taiwan Normal University, 88 Tingchow Road, Section 4, Taipei 11677, Taiwan
| | - Chung-Te Chang
- Department of Life Science, Tunghai University, 1727 Taiwan Boulevard, Section 4, Taichung 40704, Taiwan
| | - Shih-Ying Hwang
- School of Life Science, National Taiwan Normal University, 88 Tingchow Road, Section 4, Taipei 11677, Taiwan
- Correspondence: ; Tel.: +886-2-7749-6250
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7
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Sandercock AM, Westbrook JW, Zhang Q, Johnson HA, Saielli TM, Scrivani JA, Fitzsimmons SF, Collins K, Perkins MT, Craddock JH, Schmutz J, Grimwood J, Holliday JA. Frozen in time: rangewide genomic diversity, structure, and demographic history of relict American chestnut populations. Mol Ecol 2022; 31:4640-4655. [PMID: 35880415 DOI: 10.1111/mec.16629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/15/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
Abstract
American chestnut (Castanea dentata) was once the most economically and ecologically important hardwood species in the eastern United States. In the first half of the 20th century, an exotic fungal pathogen - Cryphonectria parasitica - decimated the species, killing billions of chestnut trees. Two approaches to developing blight resistant American chestnut populations show promise, but both will require introduction of adaptive genomic diversity from wild germplasm to produce diverse, locally adapted restoration populations. Here we characterize population structure, demographic history, and genomic diversity in a range-wide sample of 384 wild American chestnuts to inform conservation and breeding with blight resistant varieties. Population structure analyses suggest that the chestnut range can be roughly divided into northeast, central, and southwest populations. Within-population genomic diversity estimates revealed a clinal pattern with the highest diversity in the southwest, which likely reflects bottleneck events associated with Quaternary glaciation. Finally, we identified genomic regions under positive selection within each population, which suggests that defense against fungal pathogens is a common target of selection across all populations. Taken together, these results show that American chestnut underwent a postglacial expansion from the southern portion of its range leading to three extant genetic populations. These populations will serve as management units for breeding adaptive genetic variation into the blight-resistant tree populations for targeted reintroduction efforts.
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Affiliation(s)
| | | | - Qian Zhang
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Hayley A Johnson
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | | | | | | | | | - M Taylor Perkins
- Department of Biology, Geology, and Environmental Science, The University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - J Hill Craddock
- Department of Biology, Geology, and Environmental Science, The University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jason A Holliday
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
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8
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Ruocco M, Jahnke M, Silva J, Procaccini G, Dattolo E. 2b-RAD Genotyping of the Seagrass Cymodocea nodosa Along a Latitudinal Cline Identifies Candidate Genes for Environmental Adaptation. Front Genet 2022; 13:866758. [PMID: 35651946 PMCID: PMC9149362 DOI: 10.3389/fgene.2022.866758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/19/2022] [Indexed: 11/18/2022] Open
Abstract
Plant populations distributed along broad latitudinal gradients often show patterns of clinal variation in genotype and phenotype. Differences in photoperiod and temperature cues across latitudes influence major phenological events, such as timing of flowering or seed dormancy. Here, we used an array of 4,941 SNPs derived from 2b-RAD genotyping to characterize population differentiation and levels of genetic and genotypic diversity of three populations of the seagrass Cymodocea nodosa along a latitudinal gradient extending across the Atlantic-Mediterranean boundary (i.e., Gran Canaria—Canary Islands, Faro—Portugal, and Ebro Delta—Spain). Our main goal was to search for potential outlier loci that could underlie adaptive differentiation of populations across the latitudinal distribution of the species. We hypothesized that such polymorphisms could be related to variation in photoperiod-temperature regime occurring across latitudes. The three populations were clearly differentiated and exhibited diverse levels of clonality and genetic diversity. Cymodocea nodosa from the Mediterranean displayed the highest genotypic richness, while the Portuguese population had the highest clonality values. Gran Canaria exhibited the lowest genetic diversity (as observed heterozygosity). Nine SNPs were reliably identified as outliers across the three sites by two different methods (i.e., BayeScan and pcadapt), and three SNPs could be associated to specific protein-coding genes by screening available C. nodosa transcriptomes. Two SNPs-carrying contigs encoded for transcription factors, while the other one encoded for an enzyme specifically involved in the regulation of flowering time, namely Lysine-specific histone demethylase 1 homolog 2. When analyzing biological processes enriched within the whole dataset of outlier SNPs identified by at least one method, “regulation of transcription” and “signalling” were among the most represented. Our results highlight the fundamental importance signal integration and gene-regulatory networks, as well as epigenetic regulation via DNA (de)methylation, could have for enabling adaptation of seagrass populations along environmental gradients.
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Affiliation(s)
| | - Marlene Jahnke
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - João Silva
- Centre of Marine Sciences, University of Algarve, Faro, Portugal
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9
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Lyman RA, Edwards CE. Revisiting the comparative phylogeography of unglaciated eastern North America: 15 years of patterns and progress. Ecol Evol 2022; 12:e8827. [PMID: 35475178 PMCID: PMC9019306 DOI: 10.1002/ece3.8827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 11/28/2022] Open
Abstract
In a landmark comparative phylogeographic study, “Comparative phylogeography of unglaciated eastern North America,” Soltis et al. (Molecular Ecology, 2006, 15, 4261) identified geographic discontinuities in genetic variation shared across taxa occupying unglaciated eastern North America and proposed several common biogeographical discontinuities related to past climate fluctuations and geographic barriers. Since 2006, researchers have published many phylogeographical studies and achieved many advances in genotyping and analytical techniques; however, it is unknown how this work has changed our understanding of the factors shaping the phylogeography of eastern North American taxa. We analyzed 184 phylogeographical studies of eastern North American taxa published between 2007 and 2019 to evaluate: (1) the taxonomic focus of studies and whether a previously detected taxonomic bias towards studies focused on vertebrates has changed over time, (2) the extent to which studies have adopted genotyping technologies that improve the resolution of genetic groups (i.e., NGS DNA sequencing) and analytical approaches that facilitate hypothesis‐testing (i.e., divergence time estimation and niche modeling), and (3) whether new studies support the hypothesized biogeographic discontinuities proposed by Soltis et al. (Molecular Ecology, 2006, 15, 4261) or instead support new, previously undetected discontinuities. We observed little change in taxonomic focus over time, with studies still biased toward vertebrates. Although many technological and analytical advances became available during the period, uptake was slow and they were employed in only a small proportion of studies. We found variable support for previously identified discontinuities and identified one new recurrent discontinuity. However, the limited resolution and taxonomic breadth of many studies hindered our ability to clarify the most important climatological or geographical factors affecting taxa in the region. Broadening the taxonomic focus to include more non‐vertebrate taxa, employing technologies that improve genetic resolution, and using analytical approaches that improve hypothesis testing are necessary to strengthen our inference of the forces shaping the phylogeography of eastern North America.
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Affiliation(s)
- Rachel Ann Lyman
- Ecology, Evolution, and Population Biology Program Washington University in St. Louis St. Louis Missouri USA
- Center for Conservation and Sustainable Development Missouri Botanical Garden St. Louis Missouri USA
| | - Christine E. Edwards
- Center for Conservation and Sustainable Development Missouri Botanical Garden St. Louis Missouri USA
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10
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Range expansion decreases the reproductive fitness of Gentiana officinalis (Gentianaceae). Sci Rep 2022; 12:2461. [PMID: 35165323 PMCID: PMC8844042 DOI: 10.1038/s41598-022-06406-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 01/19/2022] [Indexed: 11/23/2022] Open
Abstract
Plants living at the edge of their range boundary tend to suffer an overall decline in their fitness, including growth and reproduction. However, the reproductive performance of plants in artificially expanded habitats is rarely investigated, although this type of study would provide a better understanding of range limitations and improved conservation of ex situ plants. In the current study, we transplanted a narrowly dispersed species of Gentiana officinalis H. Smith (Gentianaceae) from its natural area of distribution to two different elevations and natural elevation to comprehensively study its pollination biology, including flowering phenology and duration, floral display, reproductive allocation, pollinator activity, and seed production. The findings indicated that the starting point and endpoint of the flowering phenology of G. officinalis were earlier at the low elevation, but the peak flowering periods did not differ significantly between any of the experimental plots. When transplanted, the flowering duration, especially the female phase, was reduced; the floral display, including spray numbers, flower numbers, and flower size (length and width), decreased, especially at high elevations. Moreover, the pollen numbers and pollen-ovule ratio were decreased at both high and low elevations, although the ovule numbers showed no change, and aboveground reproductive allocation was decreased. Furthermore, pollinator richness and activity were significantly decreased, and the seed-set ratio decreased under both natural conditions and with supplemental pollination. Finally, more severe pollen limitation was found in transplanted individuals. These results indicated an overall decrease in reproductive fitness in plants living outside their original area of distribution when the geographical range of G. officinalis was expanded.
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11
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Olsson S, Lorenzo Z, Zabal-Aguirre M, Piotti A, Vendramin GG, González-Martínez SC, Grivet D. Evolutionary history of the mediterranean Pinus halepensis-brutia species complex using gene-resequencing and transcriptomic approaches. PLANT MOLECULAR BIOLOGY 2021; 106:367-380. [PMID: 33934278 DOI: 10.1007/s11103-021-01155-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/22/2021] [Indexed: 06/12/2023]
Abstract
Complementary gene-resequencing and transcriptomic approaches reveal contrasted evolutionary histories in a species complex. Pinus halepensis and Pinus brutia are closely related species that can intercross, but occupy different geographical ranges and bioclimates. To study the evolution of this species complex and to provide genomic resources for further research, we produce and analyze two new complementary sets of genetic resources: (i) a set of 172 re-sequenced genomic target loci analyzed in 45 individuals, and (ii) a set of 11 transcriptome assemblies. These two datasets provide insights congruent with previous studies: P. brutia displays high level of genetic diversity and no genetic sub-structure, while P. halepensis shows three main genetic clusters, the western Mediterranean and North African clusters displaying much lower genetic diversity than the eastern Mediterranean cluster, the latter cluster having similar genetic diversity to P. brutia. In addition, these datasets provide new insights on the timing of the species-complex history: the two species would have split at the end of the tertiary, and the changing climatic conditions of the Mediterranean region at the end of the Tertiary-beginning of the Quaternary, together with the distinct species tolerance to harsh climatic conditions would have resulted in different geographic distributions, demographic histories and genetic patterns of the two pines. The multiple glacial-interglacial cycles during the Quaternary would have led to the expansion of P. brutia in the Middle East, while P. halepensis would have been through bottlenecks. The last glaciations, from 0.6 Mya on, would have affected further the Western genetic pool of P. halepensis.
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Affiliation(s)
- Sanna Olsson
- Department of Forest Ecology & Genetics, Forest Research Centre, INIA-CSIC, Carretera de la Coruña km 7.5, 28040, Madrid, Spain.
| | - Zaida Lorenzo
- Department of Forest Ecology & Genetics, Forest Research Centre, INIA-CSIC, Carretera de la Coruña km 7.5, 28040, Madrid, Spain
| | - Mario Zabal-Aguirre
- Department of Forest Ecology & Genetics, Forest Research Centre, INIA-CSIC, Carretera de la Coruña km 7.5, 28040, Madrid, Spain
| | - Andrea Piotti
- Institute of Biosciences and Bioresources, Division of Florence, National Research Council, 50019, Sesto Fiorentino, Florence, Italy
| | - Giovanni G Vendramin
- Institute of Biosciences and Bioresources, Division of Florence, National Research Council, 50019, Sesto Fiorentino, Florence, Italy
| | - Santiago C González-Martínez
- UMR BIOGECO, INRAE, University of Bordeaux, 33610, Cestas, France
- Sustainable Forest Management Research Institute, INIA - University of Valladolid, Avda. Madrid 44, 34004, Palencia, Spain
| | - Delphine Grivet
- Department of Forest Ecology & Genetics, Forest Research Centre, INIA-CSIC, Carretera de la Coruña km 7.5, 28040, Madrid, Spain.
- Sustainable Forest Management Research Institute, INIA - University of Valladolid, Avda. Madrid 44, 34004, Palencia, Spain.
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12
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Li S, Wang Z, Su Y, Wang T. EST-SSR-based landscape genetics of Pseudotaxus chienii, a tertiary relict conifer endemic to China. Ecol Evol 2021; 11:9498-9515. [PMID: 34306638 PMCID: PMC8293779 DOI: 10.1002/ece3.7769] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/04/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022] Open
Abstract
Pseudotaxus chienii, belonging to the monotypic genus Pseudotaxus (Taxaceae), is a relict conifer endemic to China. Its populations are usually small and patchily distributed, having a low capacity of natural regeneration. To gain a clearer understanding of how landscape variables affect the local adaptation of P. chienii, we applied EST-SSR markers in conjunction with landscape genetics methods: (a) to examine the population genetic pattern and spatial genetic structure; (b) to perform genome scan and selection scan to identify outlier loci and the associated landscape variables; and (c) to model the ecological niche under climate change. As a result, P. chienii was found to have a moderate level of genetic variation and a high level of genetic differentiation. Its populations displayed a significant positive relationship between the genetic and geographical distance (i.e., "isolation by distance" pattern) and a strong fine-scale spatial genetic structure within 2 km. A putatively adaptive locus EMS6 (functionally annotated to cellulose synthase A catalytic subunit 7) was identified, which was found significantly associated with soil Cu, K, and Pb content and the combined effects of temperature and precipitation. Moreover, P. chienii was predicted to experience significant range contractions in future climate change scenarios. Our results highlight the potential of specific soil metal content and climate variables as the driving force of adaptive genetic differentiation in P. chienii. The data would also be useful to develop a conservation action plan for P. chienii.
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Affiliation(s)
- Shufeng Li
- School of Life SciencesSun Yat‐sen UniversityGuangzhouChina
| | - Zhen Wang
- School of Life SciencesSun Yat‐sen UniversityGuangzhouChina
| | - Yingjuan Su
- School of Life SciencesSun Yat‐sen UniversityGuangzhouChina
- Research Institute of Sun Yat‐sen University in ShenzhenShenzhenChina
| | - Ting Wang
- Research Institute of Sun Yat‐sen University in ShenzhenShenzhenChina
- College of Life SciencesSouth China Agricultural UniversityGuangzhouChina
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13
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Opgenoorth L, Dauphin B, Benavides R, Heer K, Alizoti P, Martínez-Sancho E, Alía R, Ambrosio O, Audrey A, Auñón F, Avanzi C, Avramidou E, Bagnoli F, Barbas E, Bastias CC, Bastien C, Ballesteros E, Beffa G, Bernier F, Bignalet H, Bodineau G, Bouic D, Brodbeck S, Brunetto W, Buchovska J, Buy M, Cabanillas-Saldaña AM, Carvalho B, Cheval N, Climent JM, Correard M, Cremer E, Danusevičius D, Del Caño F, Denou JL, di Gerardi N, Dokhelar B, Ducousso A, Eskild Nilsen A, Farsakoglou AM, Fonti P, Ganopoulos I, García Del Barrio JM, Gilg O, González-Martínez SC, Graf R, Gray A, Grivet D, Gugerli F, Hartleitner C, Hollenbach E, Hurel A, Issehut B, Jean F, Jorge V, Jouineau A, Kappner JP, Kärkkäinen K, Kesälahti R, Knutzen F, Kujala ST, Kumpula TA, Labriola M, Lalanne C, Lambertz J, Lascoux M, Lejeune V, Le-Provost G, Levillain J, Liesebach M, López-Quiroga D, Meier B, Malliarou E, Marchon J, Mariotte N, Mas A, Matesanz S, Meischner H, Michotey C, Milesi P, Morganti S, Nievergelt D, Notivol E, Ostreng G, Pakull B, Perry A, Piotti A, Plomion C, Poinot N, Pringarbe M, Puzos L, Pyhäjärvi T, Raffin A, Ramírez-Valiente JA, Rellstab C, Remi D, Richter S, Robledo-Arnuncio JJ, San Segundo S, Savolainen O, Schueler S, Schneck V, Scotti I, Semerikov V, Slámová L, Sønstebø JH, Spanu I, Thevenet J, Tollefsrud MM, Turion N, Vendramin GG, Villar M, von Arx G, Westin J, Fady B, Myking T, Valladares F, Aravanopoulos FA, Cavers S. The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species. Gigascience 2021; 10:6177710. [PMID: 33734368 PMCID: PMC7970660 DOI: 10.1093/gigascience/giab010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 12/07/2020] [Accepted: 02/03/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Progress in the field of evolutionary forest ecology has been hampered by the huge challenge of phenotyping trees across their ranges in their natural environments, and the limitation in high-resolution environmental information. FINDINGS The GenTree Platform contains phenotypic and environmental data from 4,959 trees from 12 ecologically and economically important European forest tree species: Abies alba Mill. (silver fir), Betula pendula Roth. (silver birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra L. (Swiss stone pine), Pinus halepensis Mill. (Aleppo pine), Pinus nigra Arnold (European black pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (European black poplar), Taxus baccata L. (English yew), and Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, environmental in situ measurements (soil depth, vegetation cover, competition indices), and environmental modeling data extracted by using bilinear interpolation accounting for surrounding conditions of each tree (precipitation, temperature, insolation, drought indices) were obtained from trees in 194 sites covering the species' geographic ranges and reflecting local environmental gradients. CONCLUSION The GenTree Platform is a new resource for investigating ecological and evolutionary processes in forest trees. The coherent phenotyping and environmental characterization across 12 species in their European ranges allow for a wide range of analyses from forest ecologists, conservationists, and macro-ecologists. Also, the data here presented can be linked to the GenTree Dendroecological collection, the GenTree Leaf Trait collection, and the GenTree Genomic collection presented elsewhere, which together build the largest evolutionary forest ecology data collection available.
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Affiliation(s)
- Lars Opgenoorth
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany.,Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Benjamin Dauphin
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Raquel Benavides
- LINCGlobal, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
| | - Katrin Heer
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Paraskevi Alizoti
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | | | - Ricardo Alía
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Olivier Ambrosio
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Albet Audrey
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Francisco Auñón
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Camilla Avanzi
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | - Evangelia Avramidou
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | - Francesca Bagnoli
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | - Evangelos Barbas
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | - Cristina C Bastias
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE), CNRS, UMR 5175, 34090, Montpellier, France
| | - Catherine Bastien
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Dept ECOFA, 45075, Orléans, France
| | - Eduardo Ballesteros
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Giorgia Beffa
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Frédéric Bernier
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Henri Bignalet
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Guillaume Bodineau
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), GBFOR, 45075, Orléans, France
| | - Damien Bouic
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Sabine Brodbeck
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - William Brunetto
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Jurata Buchovska
- Vytautas Magnus University, Studentu Street 11, 53361, Akademija, Lithuania
| | - Melanie Buy
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Ana M Cabanillas-Saldaña
- Departamento de Agricultura, Ganadería y Medio Ambiente, Gobierno de Aragón, P. Mª Agustín 36, 50071, Zaragoza, Spain
| | - Bárbara Carvalho
- LINCGlobal, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
| | - Nicolas Cheval
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - José M Climent
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Marianne Correard
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Eva Cremer
- Bavarian Institute for Forest Genetics, Forstamtsplatz 1, 83317, Teisendorf, Germany
| | | | - Fernando Del Caño
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Jean-Luc Denou
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Nicolas di Gerardi
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Bernard Dokhelar
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | | | - Anne Eskild Nilsen
- Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway
| | - Anna-Maria Farsakoglou
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | - Patrick Fonti
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization DEMETER (ex NAGREF), 57001, Thermi, Greece
| | - José M García Del Barrio
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Olivier Gilg
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | | | - René Graf
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Alan Gray
- UK Centre for Ecology and Hydrology, Bush Estate Penicuik, EH26 0QB, Edinburgh, UK
| | - Delphine Grivet
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Felix Gugerli
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | | | - Enja Hollenbach
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Agathe Hurel
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Bernard Issehut
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Florence Jean
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Veronique Jorge
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), ONF, BIOFORA, 45075, Orléans, France
| | - Arnaud Jouineau
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Jan-Philipp Kappner
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Katri Kärkkäinen
- Natural Resources Institute Finland, Paavo Havaksentie 3, 90014, University of Oulu, Finland
| | - Robert Kesälahti
- University of Oulu, Pentti Kaiteran katu 1, 90014, University of Oulu, Finland
| | - Florian Knutzen
- Bavarian Institute for Forest Genetics, Forstamtsplatz 1, 83317, Teisendorf, Germany
| | - Sonja T Kujala
- Natural Resources Institute Finland, Paavo Havaksentie 3, 90014, University of Oulu, Finland
| | - Timo A Kumpula
- University of Oulu, Pentti Kaiteran katu 1, 90014, University of Oulu, Finland
| | - Mariaceleste Labriola
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | - Celine Lalanne
- INRAE, Univsité de Bordeaux, BIOGECO, 33770, Cestas, France
| | - Johannes Lambertz
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Martin Lascoux
- Department of Ecology & Genetics, EBC, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden
| | - Vincent Lejeune
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), GBFOR, 45075, Orléans, France
| | | | - Joseph Levillain
- Université de Lorraine, AgroParisTech, INRAE, SILVA, 54000, Nancy, France
| | - Mirko Liesebach
- Thünen Institute of Forest Genetics, Sieker Landstr. 2, 22927, Grosshansdorf, Germany
| | - David López-Quiroga
- LINCGlobal, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
| | - Benjamin Meier
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Ermioni Malliarou
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | - Jérémy Marchon
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Nicolas Mariotte
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Antonio Mas
- LINCGlobal, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
| | - Silvia Matesanz
- Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933, Móstoles, Spain
| | - Helge Meischner
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Célia Michotey
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), URGI, Versailles, France
| | - Pascal Milesi
- Department of Ecology & Genetics, EBC, Science for Life Laboratory, Uppsala University, 75236, Uppsala, Sweden
| | - Sandro Morganti
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Daniel Nievergelt
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Eduardo Notivol
- Centro de Investigación y Tecnología Agroalimentaria de Aragón - Unidad de Recursos Forestales (CITA), Avda. Montañana 930, 50059, Zaragoza, Spain
| | - Geir Ostreng
- Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway
| | - Birte Pakull
- Thünen Institute of Forest Genetics, Sieker Landstr. 2, 22927, Grosshansdorf, Germany
| | - Annika Perry
- UK Centre for Ecology and Hydrology, Bush Estate Penicuik, EH26 0QB, Edinburgh, UK
| | - Andrea Piotti
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | | | - Nicolas Poinot
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Mehdi Pringarbe
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Luc Puzos
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Tanja Pyhäjärvi
- University of Oulu, Pentti Kaiteran katu 1, 90014, University of Oulu, Finland
| | - Annie Raffin
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - José A Ramírez-Valiente
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Christian Rellstab
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Dourthe Remi
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), UEFP, 33610, Cestas, France
| | - Sebastian Richter
- Philipps University Marburg, Faculty of Biology, Plant Ecology and Geobotany, Karl-von-Frisch Strasse 8, 35043, Marburg, Germany
| | - Juan J Robledo-Arnuncio
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Sergio San Segundo
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - Centro de Investigación Forestal (INIA-CIFOR), Ctra. de la Coruña km 7.5, 28040, Madrid, Spain
| | - Outi Savolainen
- University of Oulu, Pentti Kaiteran katu 1, 90014, University of Oulu, Finland
| | - Silvio Schueler
- Austrian Research Centre for Forests (BFW), Seckendorff-Gudent-Weg 8, 1131, Wien, Austria
| | - Volker Schneck
- Thünen Institute of Forest Genetics, Eberswalder Chaussee 3a, 15377, Waldsieversdorf, Germany
| | - Ivan Scotti
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Vladimir Semerikov
- Institute of Plant and Animal Ecology, Ural branch of RAS, 8 Marta St. 202, 620144, Ekaterinburg, Russia
| | - Lenka Slámová
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Jørn Henrik Sønstebø
- Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway
| | - Ilaria Spanu
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | - Jean Thevenet
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Mari Mette Tollefsrud
- Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway
| | - Norbert Turion
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Giovanni Giuseppe Vendramin
- Institute of Biosciences and BioResources, National Research Council (CNR), via Madonna del Piano 10, 50019, Sesto, Fiorentino, Italy
| | - Marc Villar
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), ONF, BIOFORA, 45075, Orléans, France
| | - Georg von Arx
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | | | - Bruno Fady
- Institut National de Recherche en Agriculture, Alimentation et Environment (INRAE), Domaine Saint Paul, Site Agroparc, 84914, Avignon, France
| | - Tor Myking
- Division of Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, 1431, Ås, Norway
| | - Fernando Valladares
- LINCGlobal, Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Serrano 115 dpdo, 28006, Madrid, Spain
| | - Filippos A Aravanopoulos
- Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Improvement, 54124, Thessaloniki, Greece
| | - Stephen Cavers
- UK Centre for Ecology and Hydrology, Bush Estate Penicuik, EH26 0QB, Edinburgh, UK
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Li Y, Cao K, Li N, Zhu G, Fang W, Chen C, Wang X, Guo J, Wang Q, Ding T, Wang J, Guan L, Wang J, Liu K, Guo W, Arús P, Huang S, Fei Z, Wang L. Genomic analyses provide insights into peach local adaptation and responses to climate change. Genome Res 2021; 31:592-606. [PMID: 33687945 PMCID: PMC8015852 DOI: 10.1101/gr.261032.120] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/25/2021] [Indexed: 01/30/2023]
Abstract
The environment has constantly shaped plant genomes, but the genetic bases underlying how plants adapt to environmental influences remain largely unknown. We constructed a high-density genomic variation map of 263 geographically representative peach landraces and wild relatives. A combination of whole-genome selection scans and genome-wide environmental association studies (GWEAS) was performed to reveal the genomic bases of peach adaptation to diverse climates. A total of 2092 selective sweeps that underlie local adaptation to both mild and extreme climates were identified, including 339 sweeps conferring genomic pattern of adaptation to high altitudes. Using genome-wide environmental association studies (GWEAS), a total of 2755 genomic loci strongly associated with 51 specific environmental variables were detected. The molecular mechanism underlying adaptive evolution of high drought, strong UVB, cold hardiness, sugar content, flesh color, and bloom date were revealed. Finally, based on 30 yr of observation, a candidate gene associated with bloom date advance, representing peach responses to global warming, was identified. Collectively, our study provides insights into molecular bases of how environments have shaped peach genomes by natural selection and adds candidate genes for future studies on evolutionary genetics, adaptation to climate changes, and breeding.
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Affiliation(s)
- Yong Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430000, China
| | - Ke Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Nan Li
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Gengrui Zhu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Weichao Fang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Changwen Chen
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Xinwei Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jian Guo
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Qi Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Tiyu Ding
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jiao Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Liping Guan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Junxiu Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Kuozhan Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Wenwu Guo
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430000, China
| | - Pere Arús
- IRTA-Centre de Recerca en Agrigenòmica (CSIC-IRTA-UAB-UB), Barcelona 08193, Spain
| | - Sanwen Huang
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York 14853, USA.,U.S. Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853, USA
| | - Lirong Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
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15
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Genome-wide SNPs reveal complex fine scale population structure in the California market squid fishery (Doryteuthis opalescens). CONSERV GENET 2020. [DOI: 10.1007/s10592-020-01321-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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16
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Zheng C, Tan L, Sang M, Ye M, Wu R. Genetic adaptation of Tibetan poplar ( Populus szechuanica var. tibetica) to high altitudes on the Qinghai-Tibetan Plateau. Ecol Evol 2020; 10:10974-10985. [PMID: 33144942 PMCID: PMC7593140 DOI: 10.1002/ece3.6508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 05/14/2020] [Accepted: 05/28/2020] [Indexed: 12/26/2022] Open
Abstract
Plant adaptation to high altitudes has long been a substantial focus of ecological and evolutionary research. However, the genetic mechanisms underlying such adaptation remain poorly understood. Here, we address this issue by sampling, genotyping, and comparing populations of Tibetan poplar, Populus szechuanica var. tibetica, distributed from low (~2,000 m) to high altitudes (~3,000 m) of Sejila Mountain on the Qinghai-Tibet Plateau. Population structure analyses allow clear classification of two groups according to their altitudinal distributions. However, in contrast to the genetic variation within each population, differences between the two populations only explain a small portion of the total genetic variation (3.64%). We identified asymmetrical gene flow from high- to low-altitude populations. Integrating population genomic and landscape genomic analyses, we detected two hotspot regions, one containing four genes associated with altitudinal variation, and the other containing ten genes associated with response to solar radiation. These genes participate in abiotic stress resistance and regulation of reproductive processes. Our results provide insight into the genetic mechanisms underlying high-altitude adaptation in Tibetan poplar.
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Affiliation(s)
- Chenfei Zheng
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignCenter for Computational BiologyCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Lizhi Tan
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignCenter for Computational BiologyCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Mengmeng Sang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignCenter for Computational BiologyCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Meixia Ye
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignCenter for Computational BiologyCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Rongling Wu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignCenter for Computational BiologyCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Center for Statistical GeneticsPennsylvania State UniversityHersheyPAUSA
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17
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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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18
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Knowledge status and sampling strategies to maximize cost-benefit ratio of studies in landscape genomics of wild plants. Sci Rep 2020; 10:3706. [PMID: 32111897 PMCID: PMC7048820 DOI: 10.1038/s41598-020-60788-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 02/11/2020] [Indexed: 11/27/2022] Open
Abstract
To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome–environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
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19
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Silva AR, Resende-Moreira LC, Carvalho CS, Lanes ECM, Ortiz-Vera MP, Viana PL, Jaffé R. Range-wide neutral and adaptive genetic structure of an endemic herb from Amazonian Savannas. AOB PLANTS 2020; 12:plaa003. [PMID: 32128104 PMCID: PMC7043808 DOI: 10.1093/aobpla/plaa003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 01/28/2020] [Indexed: 05/05/2023]
Abstract
Conserving genetic diversity in rare and narrowly distributed endemic species is essential to maintain their evolutionary potential and minimize extinction risk under future environmental change. In this study we assess neutral and adaptive genetic structure and genetic diversity in Brasilianthus carajensis (Melastomataceae), an endemic herb from Amazonian Savannas. Using RAD sequencing we identified a total of 9365 SNPs in 150 individuals collected across the species' entire distribution range. Relying on assumption-free genetic clustering methods and environmental association tests we then compared neutral with adaptive genetic structure. We found three neutral and six adaptive genetic clusters, which could be considered management units (MU) and adaptive units (AU), respectively. Pairwise genetic differentiation (F ST) ranged between 0.024 and 0.048, and even though effective population sizes were below 100, no significant inbreeding was found in any inferred cluster. Nearly 10 % of all analysed sequences contained loci associated with temperature and precipitation, from which only 25 sequences contained annotated proteins, with some of them being very relevant for physiological processes in plants. Our findings provide a detailed insight into genetic diversity, neutral and adaptive genetic structure in a rare endemic herb, which can help guide conservation and management actions to avoid the loss of unique genetic variation.
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Affiliation(s)
- Amanda R Silva
- Universidade Federal Rural da Amazônia/Museu Paraense Emílio Goeldi, Programa de Pós-graduação em Ciências Biológicas - Botânica Tropical, Belém-PA, Brazil
- Museu Paraense Emílio Goeldi, Programa de Capacitação Institucional (PCI), Belém-PA, Brazil
| | | | | | - Eder C M Lanes
- Instituto Tecnológico Vale, Desenvolvimento Sustentável, Belém-PA, Brazil
| | - Mabel P Ortiz-Vera
- Instituto Tecnológico Vale, Desenvolvimento Sustentável, Belém-PA, Brazil
- Universidade Federal do Pará, Instituto de Ciências Biológicas, Programa de Pós-Graduação em Genética e Biologia Molecular, Belém-PA, Brazil
| | - Pedro L Viana
- Universidade Federal Rural da Amazônia/Museu Paraense Emílio Goeldi, Programa de Pós-graduação em Ciências Biológicas - Botânica Tropical, Belém-PA, Brazil
| | - Rodolfo Jaffé
- Instituto Tecnológico Vale, Desenvolvimento Sustentável, Belém-PA, Brazil
- Universidade de São Paulo, Departamento de Ecologia, São Paulo-SP, Brazil
- Corresponding author’s email address:
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20
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Ammitzboll H, Vaillancourt RE, Potts BM, Harrison PA, Brodribb T, Sussmilch FC, Freeman JS. Independent genetic control of drought resistance, recovery, and growth of Eucalyptus globulus seedlings. PLANT, CELL & ENVIRONMENT 2020; 43:103-115. [PMID: 31472076 DOI: 10.1111/pce.13649] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 08/22/2019] [Accepted: 08/25/2019] [Indexed: 06/10/2023]
Abstract
Drought is a major stress impacting forest ecosystems worldwide. We utilized quantitative trait loci (QTL) analysis to study the genetic basis of variation in (a) drought resistance and recovery and (b) candidate traits that may be associated with this variation in the forest tree Eucalyptus globulus. QTL analysis was performed using a large outcrossed F2 mapping population from which 300 trees were phenotyped based on the mean performance of their open-pollinated F3 progeny. Progenies were grown in a glasshouse in a randomized complete block design. A subset of seedlings was subjected to a drought treatment after which they were rewatered and scored for damage and growth postdrought. Nondroughted seedlings were assessed for growth traits as well as lignotuber size and resprouting following severe damage to the main stem. QTL were detected for most traits. Importantly, independent QTL were detected for (a) drought damage and plant size, (b) drought damage and growth recovery, and (c) lignotuber size and resprouting capacity. Such independence argues that trade-offs are unlikely to be a major limitation to the response to selection and at the early life history stage studied; there are opportunities to improve resilience to drought without adverse effects on productivity.
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Affiliation(s)
- Hans Ammitzboll
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, 7001, Australia
| | - René E Vaillancourt
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, 7001, Australia
| | - Brad M Potts
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, 7001, Australia
| | - Peter A Harrison
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, 7001, Australia
| | - Tim Brodribb
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, 7001, Australia
| | - Frances C Sussmilch
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, 7001, Australia
- Institute of Plant Physiology and Biophysics, University of Würzburg, 97082, Würzburg, Germany
| | - Jules S Freeman
- School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, 7001, Australia
- Forest Genetics, Scion, Rotorua, 3046, New Zealand
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21
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Murray KD, Janes JK, Jones A, Bothwell HM, Andrew RL, Borevitz JO. Landscape drivers of genomic diversity and divergence in woodland Eucalyptus. Mol Ecol 2019; 28:5232-5247. [PMID: 31647597 PMCID: PMC7065176 DOI: 10.1111/mec.15287] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 10/23/2019] [Indexed: 01/03/2023]
Abstract
Spatial genetic patterns are influenced by numerous factors, and they can vary even among coexisting, closely related species due to differences in dispersal and selection. Eucalyptus (L'Héritier 1789; the "eucalypts") are foundation tree species that provide essential habitat and modulate ecosystem services throughout Australia. Here we present a study of landscape genomic variation in two woodland eucalypt species, using whole-genome sequencing of 388 individuals of Eucalyptus albens and Eucalyptus sideroxylon. We found exceptionally high genetic diversity (π ≈ 0.05) and low genome-wide, interspecific differentiation (FST = 0.15) and intraspecific differentiation between localities (FST ≈ 0.01-0.02). We found no support for strong, discrete population structure, but found substantial support for isolation by geographic distance (IBD) in both species. Using generalized dissimilarity modelling, we identified additional isolation by environment (IBE). Eucalyptus albens showed moderate IBD, and environmental variables have a small but significant amount of additional predictive power (i.e. IBE). Eucalyptus sideroxylon showed much stronger IBD and moderate IBE. These results highlight the vast adaptive potential of these species and set the stage for testing evolutionary hypotheses of interspecific adaptive differentiation across environments.
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Affiliation(s)
| | - Jasmine K Janes
- University of New EnglandArmidaleNSWAustralia
- Vancouver Island University,NanaimoBCCanada
| | - Ashley Jones
- Australian National UniversityCanberraACTAustralia
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22
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Lu M, Krutovsky KV, Loopstra CA. Predicting Adaptive Genetic Variation of Loblolly Pine (Pinus taeda L.) Populations Under Projected Future Climates Based on Multivariate Models. J Hered 2019; 110:857-865. [DOI: 10.1093/jhered/esz065] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 10/25/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Greenhouse gas emission and global warming are likely to cause rapid climate change within the natural range of loblolly pine over the next few decades, thus bringing uncertainty to their adaptation to the environment. Here, we studied adaptive genetic variation of loblolly pine and correlated genetic variation with bioclimatic variables using multivariate modeling methods—Redundancy Analysis, Generalized Dissimilarity Modeling, and Gradient Forests. Studied trees (N = 299) were originally sampled from their native range across eight states on the east side of the Mississippi River. Genetic variation was calculated using a total of 44,317 single-nucleotide polymorphisms acquired by exome target sequencing. The fitted models were used to predict the adaptive genetic variation on a large spatial and temporal scale. We observed east-to-west spatial genetic variation across the range, which presented evidence of isolation by distance. Different key factors drive adaptation of loblolly pine from different geographical regions. Trees residing near the northeastern edge of the range, spanning across Delaware and Maryland and mountainous areas of Virginia, North Carolina, South Carolina, and northern Georgia, were identified to be most likely impacted by climate change based on the large difference in genetic composition under current and future climate conditions. This study provides new perspectives on adaptive genetic variation of loblolly pine in response to different climate scenarios, and the results can be used to target particular populations while developing adaptive forest management guidelines.
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Affiliation(s)
- Mengmeng Lu
- Department of Biological Sciences, University of Calgary, Calgary, Canada
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August-University of Göttingen, Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX
- Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, TX
| | - Carol A Loopstra
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX
- Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, TX
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23
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Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq. Sci Rep 2019; 9:13157. [PMID: 31511632 PMCID: PMC6739479 DOI: 10.1038/s41598-019-49737-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 08/31/2019] [Indexed: 12/31/2022] Open
Abstract
Germplasm resource collection and utilization are important in forestry species breeding. High-through sequencing technologies have been playing increasing roles in forestry breeding. In this study, specific-locus amplified fragment sequencing (SLAF-seq) was employed to analyze 149 masson pine (Pinus massoniana) accessions collected from Guangdong in China. A large number of 471,660 SNPs in the total collection were identified from 599,164 polymorphic SLAF tags. Population structure analysis showed that 149 masson pines could not be obviously divided into subpopulations. Two core sets, containing 29 masson pine accessions for increasing resin and wood yield respectively, were obtained from the total collection. Phenotypic analyses of five traits showed abundant variations, 25 suggestive and 9 significant SNPs were associated with the resin-yielding capacity (RYC') and volume of wood (VW) using EMMAX and FaST-LMM; 22 suggestive and 11 significant SNPs were associated with RYC' and VW using mrMLM and FASTmrMLM. Moreover, a large number of associated SNPs were detected in trait HT, DBH, RW and RYC using mrMLM, FASTmrMLM, FASTmrEMMA and ISIS EM-BLASSO. The core germplasm sets would be a valuable resource for masson pine improvement and breeding. In addition, the associated SNP markers would be meaningful for masson pine resource selection.
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24
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Lu M, Loopstra CA, Krutovsky KV. Detecting the genetic basis of local adaptation in loblolly pine ( Pinus taeda L.) using whole exome-wide genotyping and an integrative landscape genomics analysis approach. Ecol Evol 2019; 9:6798-6809. [PMID: 31380016 PMCID: PMC6662259 DOI: 10.1002/ece3.5225] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/17/2019] [Accepted: 04/08/2019] [Indexed: 01/04/2023] Open
Abstract
In the Southern United States, the widely distributed loblolly pine contributes greatly to lumber and pulp production, as well as providing many important ecosystem services. Climate change may affect the productivity and range of loblolly pine. Nevertheless, we have insufficient knowledge of the adaptive potential and the genetics underlying the adaptability of loblolly pine. To address this, we tested the association of 2.8 million whole exome-based single nucleotide polymorphisms (SNPs) with climate and geographic variables, including temperature, precipitation, latitude, longitude, and elevation data. Using an integrative landscape genomics approach by combining multiple environmental association and outlier detection analyses, we identified 611 SNPs associated with 56 climate and geographic variables. Longitude, maximum temperature of the warm months and monthly precipitation associated with most SNPs, indicating their importance and complexity in shaping the genetic variation in loblolly pine. Functions of candidate genes related to terpenoid synthesis, pathogen defense, transcription factors, and abiotic stress response. We provided evidence that environment-associated SNPs also composed the genetic structure of adaptive phenotypic traits including height, diameter, metabolite levels, and gene transcript abundance. Our study promotes understanding of the genetic basis of local adaptation in loblolly pine and provides promising tools for selecting genotypes adapted to local environments in a changing climate.
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Affiliation(s)
- Mengmeng Lu
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
- Present address:
Department of Biological SciencesUniversity of CalgaryCalgaryAlbertaCanada
| | - Carol A. Loopstra
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
| | - Konstantin V. Krutovsky
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
- Department of Forest Genetics and Forest Tree BreedingGeorg‐August‐University of GöttingenGöttingenGermany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General GeneticsRussian Academy of SciencesMoscowRussia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and BiotechnologySiberian Federal UniversityKrasnoyarskRussia
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25
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De La Torre AR, Puiu D, Crepeau MW, Stevens K, Salzberg SL, Langley CH, Neale DB. Genomic architecture of complex traits in loblolly pine. THE NEW PHYTOLOGIST 2019; 221:1789-1801. [PMID: 30318590 DOI: 10.1111/nph.15535] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 10/06/2018] [Indexed: 05/02/2023]
Abstract
Dissecting the genetic and genomic architecture of complex traits is essential to understand the forces maintaining the variation in phenotypic traits of ecological and economical importance. Whole-genome resequencing data were used to generate high-resolution polymorphic single nucleotide polymorphism (SNP) markers and genotype individuals from common gardens across the loblolly pine (Pinus taeda) natural range. Genome-wide associations were tested with a large phenotypic dataset comprising 409 variables including morphological traits (height, diameter, carbon isotope discrimination, pitch canker resistance), and molecular traits such as metabolites and expression of xylem development genes. Our study identified 2335 new SNP × trait associations for the species, with many SNPs located in physical clusters in the genome of the species; and the genomic location of hotspots for metabolic × genotype associations. We found a highly polygenic basis of quantitative inheritance, with significant differences in number, effects size, genomic location and frequency of alleles contributing to variation in phenotypes in the different traits. While mutation-selection balance might be shaping the genetic variation in metabolic traits, balancing selection is more likely to shape the variation in expression of xylem development genes. Our work contributes to the study of complex traits in nonmodel plant species by identifying associations at a whole-genome level.
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Affiliation(s)
- Amanda R De La Torre
- School of Forestry, Northern Arizona University, 200 E. Pine Knoll Drive, Flagstaff, AZ, 86011, USA
- Department of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Daniela Puiu
- Center for Computational Biology, Johns Hopkins University, 1900 E. Monument St, Baltimore, MD, 21205, USA
| | - Marc W Crepeau
- Department of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Kristian Stevens
- Department of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Steven L Salzberg
- Center for Computational Biology, Johns Hopkins University, 1900 E. Monument St, Baltimore, MD, 21205, USA
- Department of Biomedical Engineering, Computer Science and Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Charles H Langley
- Department of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - David B Neale
- Department of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA, 95616, USA
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26
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Casola C. Resequencing of massive pine genomes helps to unlock the genetic underpinning of quantitative traits in conifer trees. THE NEW PHYTOLOGIST 2019; 221:1669-1671. [PMID: 30729581 DOI: 10.1111/nph.15655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Affiliation(s)
- Claudio Casola
- Department of Ecosystem Science and Management, Texas A&M University, 495 Horticulture Rd, College Station, TX, 77843-2138, USA
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27
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Rellstab C, Dauphin B, Zoller S, Brodbeck S, Gugerli F. Using transcriptome sequencing and pooled exome capture to study local adaptation in the giga‐genome of
Pinus cembra. Mol Ecol Resour 2019; 19:536-551. [DOI: 10.1111/1755-0998.12986] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 11/29/2018] [Accepted: 12/05/2018] [Indexed: 12/21/2022]
Affiliation(s)
| | | | - Stefan Zoller
- ETH Zürich Genetic Diversity Centre Zürich Switzerland
| | - Sabine Brodbeck
- WSL Swiss Federal Research Institute Birmensdorf Switzerland
| | - Felix Gugerli
- WSL Swiss Federal Research Institute Birmensdorf Switzerland
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28
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Turner GW, Parrish AN, Zager JJ, Fischedick JT, Lange BM. Assessment of flux through oleoresin biosynthesis in epithelial cells of loblolly pine resin ducts. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:217-230. [PMID: 30312429 PMCID: PMC6305192 DOI: 10.1093/jxb/ery338] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 09/12/2018] [Indexed: 05/25/2023]
Abstract
The shoot system of pines contains abundant resin ducts, which harbor oleoresins that play important roles in constitutive and inducible defenses. In a pilot study, we assessed the chemical diversity of oleoresins obtained from mature tissues of loblolly pine trees (Pinus taeda L.). Building on these data sets, we designed experiments to assess oleoresin biosynthesis in needles of 2-year-old saplings. Comparative transcriptome analyses of single cell types indicated that genes involved in the biosynthesis of oleoresins are significantly enriched in isolated epithelial cells of resin ducts, compared with those expressed in mesophyll cells. Simulations using newly developed genome-scale models of epithelial and mesophyll cells, which incorporate our data on oleoresin yield and composition as well as gene expression patterns, predicted that heterotrophic metabolism in epithelial cells involves enhanced levels of oxidative phosphorylation and fermentation (providing redox and energy equivalents). Furthermore, flux was predicted to be more evenly distributed across the metabolic network of mesophyll cells, which, in contrast to epithelial cells, do not synthesize high levels of specialized metabolites. Our findings provide novel insights into the remarkable specialization of metabolism in epithelial cells.
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Affiliation(s)
- Glenn W Turner
- Institute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, USA
| | - Amber N Parrish
- Institute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, USA
| | - Jordan J Zager
- Institute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, USA
| | - Justin T Fischedick
- Institute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, USA
- Pure Analytics, Santa Rosa, CA, USA
| | - B Markus Lange
- Institute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, USA
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29
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Martins K, Gugger PF, Llanderal‐Mendoza J, González‐Rodríguez A, Fitz‐Gibbon ST, Zhao J, Rodríguez‐Correa H, Oyama K, Sork VL. Landscape genomics provides evidence of climate-associated genetic variation in Mexican populations of Quercus rugosa. Evol Appl 2018; 11:1842-1858. [PMID: 30459833 PMCID: PMC6231481 DOI: 10.1111/eva.12684] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 05/31/2018] [Accepted: 07/11/2018] [Indexed: 12/30/2022] Open
Abstract
Local adaptation is a critical evolutionary process that allows plants to grow better in their local compared to non-native habitat and results in species-wide geographic patterns of adaptive genetic variation. For forest tree species with a long generation time, this spatial genetic heterogeneity can shape the ability of trees to respond to rapid climate change. Here, we identify genomic variation that may confer local environmental adaptations and then predict the extent of adaptive mismatch under future climate as a tool for forest restoration or management of the widely distributed high-elevation oak species Quercus rugosa in Mexico. Using genotyping by sequencing, we identified 5,354 single nucleotide polymorphisms (SNPs) genotyped from 103 individuals across 17 sites in the Trans-Mexican Volcanic Belt, and, after controlling for neutral genetic structure, we detected 74 F ST outlier SNPs and 97 SNPs associated with climate variation. Then, we deployed a nonlinear multivariate model, Gradient Forests, to map turnover in allele frequencies along environmental gradients and predict areas most sensitive to climate change. We found that spatial patterns of genetic variation were most strongly associated with precipitation seasonality and geographic distance. We identified regions of contemporary genetic and climatic similarities and predicted regions where future populations of Q. rugosa might be at risk due to high expected rate of climate change. Our findings provide preliminary details for future management strategies of Q. rugosa in Mexico and also illustrate how a landscape genomic approach can provide a useful tool for conservation and resource management strategies.
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Affiliation(s)
- Karina Martins
- Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesCalifornia
- Departamento de BiologiaUniversidade Federal de São CarlosSorocabaSPBrazil
| | - Paul F. Gugger
- Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesCalifornia
- Appalachian LaboratoryUniversity of Maryland Center for Environmental ScienceFrostburgMaryland
| | - Jesus Llanderal‐Mendoza
- Instituto de Investigaciones en Ecosistemas y SustentabilidadUniversidad Nacional Autónoma de México (UNAM)MoreliaMichoacánMéxico
- Escuela Nacional de Estudios Superiores Unidad MoreliaUniversidad Nacional Autónoma de México (UNAM)MoreliaMichoacánMéxico
| | - Antonio González‐Rodríguez
- Instituto de Investigaciones en Ecosistemas y SustentabilidadUniversidad Nacional Autónoma de México (UNAM)MoreliaMichoacánMéxico
| | - Sorel T. Fitz‐Gibbon
- Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesCalifornia
| | - Jian‐Li Zhao
- Key Laboratory of Tropical Forest EcologyXishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaYunnanChina
| | - Hernando Rodríguez‐Correa
- Escuela Nacional de Estudios Superiores Unidad MoreliaUniversidad Nacional Autónoma de México (UNAM)MoreliaMichoacánMéxico
| | - Ken Oyama
- Escuela Nacional de Estudios Superiores Unidad MoreliaUniversidad Nacional Autónoma de México (UNAM)MoreliaMichoacánMéxico
| | - Victoria L. Sork
- Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesCalifornia
- Institute of the Environment and SustainabilityUniversity of California, Los AngelesLos AngelesCalifornia
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30
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Lotterhos KE, Yeaman S, Degner J, Aitken S, Hodgins KA. Modularity of genes involved in local adaptation to climate despite physical linkage. Genome Biol 2018; 19:157. [PMID: 30290843 PMCID: PMC6173883 DOI: 10.1186/s13059-018-1545-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 09/18/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Linkage among genes experiencing different selection pressures can make natural selection less efficient. Theory predicts that when local adaptation is driven by complex and non-covarying stresses, increased linkage is favored for alleles with similar pleiotropic effects, with increased recombination favored among alleles with contrasting pleiotropic effects. Here, we introduce a framework to test these predictions with a co-association network analysis, which clusters loci based on differing associations. We use this framework to study the genetic architecture of local adaptation to climate in lodgepole pine, Pinus contorta, based on associations with environments. RESULTS We identify many clusters of candidate genes and SNPs associated with distinct environments, including aspects of aridity and freezing, and discover low recombination rates among some candidate genes in different clusters. Only a few genes contain SNPs with effects on more than one distinct aspect of climate. There is limited correspondence between co-association networks and gene regulatory networks. We further show how associations with environmental principal components can lead to misinterpretation. Finally, simulations illustrate both benefits and caveats of co-association networks. CONCLUSIONS Our results support the prediction that different selection pressures favor the evolution of distinct groups of genes, each associating with a different aspect of climate. But our results went against the prediction that loci experiencing different sources of selection would have high recombination among them. These results give new insight into evolutionary debates about the extent of modularity, pleiotropy, and linkage in the evolution of genetic architectures.
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Affiliation(s)
- Katie E Lotterhos
- Department of Marine and Environmental Sciences, Northeastern Marine Science Center, 430 Nahant Rd, Nahant, MA, 01908, USA.
| | - Sam Yeaman
- Department of Biological Sciences, University of Calgary, Calgary, AB, T2N1N4, Canada
| | - Jon Degner
- Department of Forest and Conservation Sciences, Faculty of Forestry, Vancouver, BC, V6T 1Z4, Canada
| | - Sally Aitken
- Department of Forest and Conservation Sciences, Faculty of Forestry, Vancouver, BC, V6T 1Z4, Canada
| | - Kathryn A Hodgins
- School of Biological Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC, 3800, Australia
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31
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Piculell BJ, Eckhardt LG, Hoeksema JD. Genetically determined fungal pathogen tolerance and soil variation influence ectomycorrhizal traits of loblolly pine. Ecol Evol 2018; 8:9646-9656. [PMID: 30386564 PMCID: PMC6202710 DOI: 10.1002/ece3.4355] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 05/18/2018] [Accepted: 05/30/2018] [Indexed: 11/14/2022] Open
Abstract
Selection on genetically correlated traits within species can create indirect effects on one trait by selection on another. The consequences of these trait correlations are of interest because they may influence how suites of traits within species evolve under differing selection pressures, both natural and artificial. By utilizing genetic families of loblolly pine either tolerant (t) or susceptible (s) to two different suites of pathogenic fungi responsible for causing either pine decline or fusiform rust disease, we investigated trait variation and trait correlations within loblolly pine (Pinus taeda L.) by determining how ectomycorrhizal (EM) colonization relates to pathogen susceptibility. We detected interactions between susceptibility to pathogenic fungi and soil inoculation source on loblolly pine compatibility with the EM fungi Thelephora, and on relative growth rate of loblolly pine. Additionally, we detected spatial variation in the loblolly pine-EM fungi interaction, and found that variation in colonization rates by some members of the EM community is not dictated by genetic variation in the host plant but rather soil inoculation source alone. The work presented here illustrates the potential for indirect selection on compatibility with symbiotic EM fungi as a result of selection for resistance to fungal pathogens. Additionally, we present evidence that the host plant does not have a single "mycorrhizal trait" governing interactions with all EM fungi, but rather that it can interact with different fungal taxa independently. Synthesis. An understanding of the genetic architecture of essential traits in focal species is crucial if we are to anticipate and manage the results of natural and artificial selection. As demonstrated here, an essential but often overlooked symbiosis (that between plants and mycorrhizal fungi) may be indirectly influenced by directed selection on the host plant.
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Affiliation(s)
- Bridget J. Piculell
- Department of BiologyUniversity of MississippiUniversityMississippi
- Department of BiologyCollege of CharlestonCharlestonSouth Carolina
| | - Lori G. Eckhardt
- School of Forestry and Wildlife SciencesAuburn UniversityAuburnAlabama
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32
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de Lafontaine G, Napier JD, Petit RJ, Hu FS. Invoking adaptation to decipher the genetic legacy of past climate change. Ecology 2018; 99:1530-1546. [PMID: 29729183 DOI: 10.1002/ecy.2382] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 03/27/2018] [Accepted: 04/12/2018] [Indexed: 12/31/2022]
Abstract
Persistence of natural populations during periods of climate change is likely to depend on migration (range shifts) or adaptation. These responses were traditionally considered discrete processes and conceptually divided into the realms of ecology and evolution. In a milestone paper, Davis and Shaw (2001) Science 292:673 argued that the interplay of adaptation and migration was central to biotic responses to Quaternary climate, but since then there has been no synthesis of efforts made to set up this research program. Here we review some of the salient findings from molecular genetic studies assessing ecological and evolutionary responses to Quaternary climate change. These studies have revolutionized our understanding of population processes associated with past species migration. However, knowledge remains limited about the role of natural selection for local adaptation of populations to Quaternary environmental fluctuations and associated range shifts, and for the footprints this might have left on extant populations. Next-generation sequencing technologies, high-resolution paleoclimate analyses, and advances in population genetic theory offer an unprecedented opportunity to test hypotheses about adaptation through time. Recent population genomics studies have greatly improved our understanding of the role of contemporary adaptation to local environments in shaping spatial patterns of genetic diversity across modern-day landscapes. Advances in this burgeoning field provide important conceptual and methodological bases to decipher the historical role of natural selection and assess adaptation to past environmental variation. We suggest that a process called "temporal conditional neutrality" has taken place: some alleles favored in glacial environments become selectively neutral in modern-day conditions, whereas some alleles that had been neutral during glacial periods become under selection in modern environments. Building on this view, we present a new integrative framework for addressing the interplay of demographic and adaptive evolutionary responses to Quaternary climate dynamics, the research agenda initially envisioned by Davis and Shaw (2001) Science 292:673.
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Affiliation(s)
- Guillaume de Lafontaine
- Canada Research Chair in Integrative Biology of Northern Flora, Université du Québec à Rimouski, Rimouski, Québec, G5L 3A1, Canada.,Department of Plant Biology, University of Illinois, Urbana, Illinois, 61801, USA
| | - Joseph D Napier
- Department of Plant Biology, University of Illinois, Urbana, Illinois, 61801, USA
| | - Rémy J Petit
- Biogeco, INRA, Univ. Bordeaux, Cestas, 33610, France
| | - Feng Sheng Hu
- Department of Plant Biology, University of Illinois, Urbana, Illinois, 61801, USA.,Department of Geology, University of Illinois, Urbana, Illinois, 61801, USA
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33
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Supple MA, Bragg JG, Broadhurst LM, Nicotra AB, Byrne M, Andrew RL, Widdup A, Aitken NC, Borevitz JO. Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change. eLife 2018; 7:31835. [PMID: 29685183 PMCID: PMC5951681 DOI: 10.7554/elife.31835] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Accepted: 04/07/2018] [Indexed: 01/01/2023] Open
Abstract
As species face rapid environmental change, we can build resilient populations through restoration projects that incorporate predicted future climates into seed sourcing decisions. Eucalyptus melliodora is a foundation species of a critically endangered community in Australia that is a target for restoration. We examined genomic and phenotypic variation to make empirical based recommendations for seed sourcing. We examined isolation by distance and isolation by environment, determining high levels of gene flow extending for 500 km and correlations with climate and soil variables. Growth experiments revealed extensive phenotypic variation both within and among sampling sites, but no site-specific differentiation in phenotypic plasticity. Model predictions suggest that seed can be sourced broadly across the landscape, providing ample diversity for adaptation to environmental change. Application of our landscape genomic model to E. melliodora restoration projects can identify genomic variation suitable for predicted future climates, thereby increasing the long term probability of successful restoration. Yellow box, or Eucalyptus melliodora, is an emblematic Australian tree that is essential to many native ecosystems. Some of these environments are now critically endangered, and replanting yellow box trees is one of the first steps to try to restore them. However, it can be difficult for reforestation practitioners to decide where to collect the seeds they will use to replant an area. They have to select seeds that carry the genetic information that gives the trees the best chances of surviving now and in the future. This is a complex task because climate change creates fast-changing environments. Here, Supple et al. collect genetic material from 275 E. melliodora trees at 36 different sites. Genetic analyses show that the yellow box trees from these sites exchange their genetic material and do not form isolated populations. This means that the seeds do not need to be sourced from near the reforestation site, but can be collected from areas much further away. This results in higher quality seeds for reforestation because seeds from more sites will include more genetic diversity. Supple et al. then use information about the local climate, such as temperature and rain levels, at the sites where the samples were gathered to create a model that describes the relationship between genetic, geographical, and environmental factors. This helps identify which sites produce the seeds that will grow best under particular conditions. In addition, the seedlings from these sites are grown in the laboratory to see how well they fare in different types of environments. It therefore becomes possible to match a reforestation site with the seeds that will thrive in the future climate of the area. Sharing this knowledge with conservationists will help to guide their replanting strategies for E. melliodora. The method can also be applied to other plant species and restoration projects, so it could ultimately shape resilient ecosystems that can cope with climate change.
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Affiliation(s)
- Megan Ann Supple
- Research School of Biology, The Australian National University, Canberra, Australia.,Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, United States
| | - Jason G Bragg
- Research School of Biology, The Australian National University, Canberra, Australia.,National Herbarium of New South Wales, The Royal Botanic Gardens and Domain Trust, Sydney, Australia
| | - Linda M Broadhurst
- Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organisation (CSIRO), National Research Collections and Facilities, Canberra, Australia
| | - Adrienne B Nicotra
- Research School of Biology, The Australian National University, Canberra, Australia
| | - Margaret Byrne
- Biodiverstiy and Conservation Science, Department of Biodiversity, Conservation and Attractions Western Australia, Bentley, Australia
| | - Rose L Andrew
- School of Environmental and Rural Science, University of New England, Armidale, Australia
| | - Abigail Widdup
- Research School of Biology, The Australian National University, Canberra, Australia
| | - Nicola C Aitken
- Research School of Biology, The Australian National University, Canberra, Australia
| | - Justin O Borevitz
- Research School of Biology, The Australian National University, Canberra, Australia.,Centre of Excellence in Plant Energy Biology, The Australian National University, Canberra, Australia
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34
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Shih KM, Chang CT, Chung JD, Chiang YC, Hwang SY. Adaptive Genetic Divergence Despite Significant Isolation-by-Distance in Populations of Taiwan Cow-Tail Fir ( Keteleeria davidiana var. formosana). FRONTIERS IN PLANT SCIENCE 2018; 9:92. [PMID: 29449860 PMCID: PMC5799944 DOI: 10.3389/fpls.2018.00092] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 01/17/2018] [Indexed: 05/05/2023]
Abstract
Double digest restriction site-associated DNA sequencing (ddRADseq) is a tool for delivering genome-wide single nucleotide polymorphism (SNP) markers for non-model organisms useful in resolving fine-scale population structure and detecting signatures of selection. This study performs population genetic analysis, based on ddRADseq data, of a coniferous species, Keteleeria davidiana var. formosana, disjunctly distributed in northern and southern Taiwan, for investigation of population adaptive divergence in response to environmental heterogeneity. A total of 13,914 SNPs were detected and used to assess genetic diversity, FST outlier detection, population genetic structure, and individual assignments of five populations (62 individuals) of K. davidiana var. formosana. Principal component analysis (PCA), individual assignments, and the neighbor-joining tree were successful in differentiating individuals between northern and southern populations of K. davidiana var. formosana, but apparent gene flow between the southern DW30 population and northern populations was also revealed. Fifteen of 23 highly differentiated SNPs identified were found to be strongly associated with environmental variables, suggesting isolation-by-environment (IBE). However, multiple matrix regression with randomization analysis revealed strong IBE as well as significant isolation-by-distance. Environmental impacts on divergence were found between populations of the North and South regions and also between the two southern neighboring populations. BLASTN annotation of the sequences flanking outlier SNPs gave significant hits for three of 23 markers that might have biological relevance to mitochondrial homeostasis involved in the survival of locally adapted lineages. Species delimitation between K. davidiana var. formosana and its ancestor, K. davidiana, was also examined (72 individuals). This study has produced highly informative population genomic data for the understanding of population attributes, such as diversity, connectivity, and adaptive divergence associated with large- and small-scale environmental heterogeneity in K. davidiana var. formosana.
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Affiliation(s)
- Kai-Ming Shih
- Department of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Chung-Te Chang
- Department of Geography, National Taiwan University, Taipei, Taiwan
| | - Jeng-Der Chung
- Division of Silviculture, Taiwan Forestry Research Institute, Taipei, Taiwan
| | - Yu-Chung Chiang
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Shih-Ying Hwang
- Department of Life Science, National Taiwan Normal University, Taipei, Taiwan
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35
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Grivet D, Avia K, Vaattovaara A, Eckert AJ, Neale DB, Savolainen O, González-Martínez SC. High rate of adaptive evolution in two widespread European pines. Mol Ecol 2017; 26:6857-6870. [PMID: 29110402 DOI: 10.1111/mec.14402] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Revised: 09/14/2017] [Accepted: 09/25/2017] [Indexed: 12/18/2022]
Abstract
Comparing related organisms with differing ecological requirements and evolutionary histories can shed light on the mechanisms and drivers underlying genetic adaptation. Here, by examining a common set of hundreds of loci, we compare patterns of nucleotide diversity and molecular adaptation of two European conifers (Scots pine and maritime pine) living in contrasted environments and characterized by distinct population genetic structure (low and clinal in Scots pine, high and ecotypic in maritime pine) and demographic histories. We found higher nucleotide diversity in Scots pine than in maritime pine, whereas rates of new adaptive substitutions (ωa ), as estimated from the distribution of fitness effects, were similar across species and among the highest found in plants. Sample size and population genetic structure did not appear to have resulted in significant bias in estimates of ωa . Moreover, population contraction-expansion dynamics for each species did not affect differentially the rate of adaptive substitution in these two pines. Several methodological and biological factors may underlie the unusually high rate of adaptive evolution of Scots pine and maritime pine. By providing two new case studies with contrasting evolutionary histories, we contribute to disentangling the multiple factors potentially affecting adaptive evolution in natural plant populations.
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Affiliation(s)
- Delphine Grivet
- Department of Forest Ecology and Genetics, Forest Research Centre, INIA-CIFOR, Madrid, Spain.,Sustainable Forest Management Research Institute, INIA - University of Valladolid, Palencia, Spain
| | - Komlan Avia
- Department of Ecology and Genetics and Biocenter Oulu, University of Oulu, Oulu, Finland.,Algal Genetics Group, UMR 8227, CNRS, Sorbonne Universités, UPMC, Station Biologique Roscoff, Roscoff, France.,UMI 3614 Evolutionary Biology and Ecology of Algae, CNRS, Sorbonne Universités, UPMC, Pontificia Universidad Católica de Chile, Universidad Austral de Chile, Station Biologique Roscoff, Roscoff, France
| | - Aleksia Vaattovaara
- Department of Ecology and Genetics and Biocenter Oulu, University of Oulu, Oulu, Finland.,Division of Plant Biology, Department of Biosciences, Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - Andrew J Eckert
- Department of Biology, Virginia Commonwealth University, Richmond, VA, USA
| | - David B Neale
- Department of Plant Sciences, University of California at Davis, Davis, CA, USA
| | - Outi Savolainen
- Department of Ecology and Genetics and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Santiago C González-Martínez
- Department of Forest Ecology and Genetics, Forest Research Centre, INIA-CIFOR, Madrid, Spain.,Sustainable Forest Management Research Institute, INIA - University of Valladolid, Palencia, Spain.,BIOGECO, INRA, Univ. Bordeaux, Cestas, France
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36
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Moran E, Lauder J, Musser C, Stathos A, Shu M. The genetics of drought tolerance in conifers. THE NEW PHYTOLOGIST 2017; 216:1034-1048. [PMID: 28895167 DOI: 10.1111/nph.14774] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 07/27/2017] [Indexed: 05/20/2023]
Abstract
Contents 1034 I. 1034 II. 1035 III. 1037 IV. 1038 V. 1042 VI. 1043 VII. 1045 References 1045 SUMMARY: As temperatures warm and precipitation patterns shift as a result of climate change, interest in the identification of tree genotypes that will thrive under more arid conditions has grown. In this review, we discuss the multiple definitions of 'drought tolerance' and the biological processes involved in drought responses. We describe the three major approaches taken in the study of genetic variation in drought responses, the advantages and shortcomings of each, and what each of these approaches has revealed about the genetic basis of adaptation to drought in conifers. Finally, we discuss how a greater knowledge of the genetics of drought tolerance may aid forest management, and provide recommendations for how future studies may overcome the limitations of past approaches. In particular, we urge a more direct focus on survival, growth and the traits that directly predict them (rather than on proxies, such as water use efficiency), combining research approaches with complementary strengths and weaknesses, and the inclusion of a wider range of taxa and life stages.
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Affiliation(s)
- Emily Moran
- UC Merced, 5200 N Lake Rd, Merced, CA, 95343, USA
| | | | - Cameron Musser
- Yale School of Forestry & Environmental Studies, 195 Prospect Street, New Haven, CT, 06511, USA
| | | | - Mengjun Shu
- UC Merced, 5200 N Lake Rd, Merced, CA, 95343, USA
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37
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Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/13836_2017_2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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38
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Landscape genomics analysis of Achyranthes bidentata reveal adaptive genetic variations are driven by environmental variations relating to ecological habit. POPUL ECOL 2017. [DOI: 10.1007/s10144-017-0599-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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39
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De La Torre AR, Li Z, Van de Peer Y, Ingvarsson PK. Contrasting Rates of Molecular Evolution and Patterns of Selection among Gymnosperms and Flowering Plants. Mol Biol Evol 2017; 34:1363-1377. [PMID: 28333233 PMCID: PMC5435085 DOI: 10.1093/molbev/msx069] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The majority of variation in rates of molecular evolution among seed plants remains both unexplored and unexplained. Although some attention has been given to flowering plants, reports of molecular evolutionary rates for their sister plant clade (gymnosperms) are scarce, and to our knowledge differences in molecular evolution among seed plant clades have never been tested in a phylogenetic framework. Angiosperms and gymnosperms differ in a number of features, of which contrasting reproductive biology, life spans, and population sizes are the most prominent. The highly conserved morphology of gymnosperms evidenced by similarity of extant species to fossil records and the high levels of macrosynteny at the genomic level have led scientists to believe that gymnosperms are slow-evolving plants, although some studies have offered contradictory results. Here, we used 31,968 nucleotide sites obtained from orthologous genes across a wide taxonomic sampling that includes representatives of most conifers, cycads, ginkgo, and many angiosperms with a sequenced genome. Our results suggest that angiosperms and gymnosperms differ considerably in their rates of molecular evolution per unit time, with gymnosperm rates being, on average, seven times lower than angiosperm species. Longer generation times and larger genome sizes are some of the factors explaining the slow rates of molecular evolution found in gymnosperms. In contrast to their slow rates of molecular evolution, gymnosperms possess higher substitution rate ratios than angiosperm taxa. Finally, our study suggests stronger and more efficient purifying and diversifying selection in gymnosperm than in angiosperm species, probably in relation to larger effective population sizes.
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Affiliation(s)
- Amanda R De La Torre
- Department of Plant Sciences, University of California-Davis, Davis, CA.,Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
| | - Zhen Li
- Department of Plant Systems Biology, VIB, Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Yves Van de Peer
- Department of Plant Systems Biology, VIB, Ghent, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Genomics Research Institute, University of Pretoria, Hatfield Campus, Pretoria, South Africa
| | - Pär K Ingvarsson
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.,Department of Plant Biology, Uppsala Biocenter, Swedish University of Agricultural Sciences, Uppsala, Sweden
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40
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Jordan R, Hoffmann AA, Dillon SK, Prober SM. Evidence of genomic adaptation to climate in
Eucalyptus microcarpa
: Implications for adaptive potential to projected climate change. Mol Ecol 2017; 26:6002-6020. [DOI: 10.1111/mec.14341] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/07/2017] [Accepted: 08/14/2017] [Indexed: 12/30/2022]
Affiliation(s)
- Rebecca Jordan
- Bio21 Institute School of BioSciences University of Melbourne Parkville Vic Australia
| | - Ary A. Hoffmann
- Bio21 Institute School of BioSciences University of Melbourne Parkville Vic Australia
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41
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Lasky JR, Forester BR, Reimherr M. Coherent synthesis of genomic associations with phenotypes and home environments. Mol Ecol Resour 2017; 18:91-106. [DOI: 10.1111/1755-0998.12714] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 08/10/2017] [Accepted: 08/25/2017] [Indexed: 01/22/2023]
Affiliation(s)
- Jesse R. Lasky
- Department of Biology; Pennsylvania State University; University Park PA USA
| | | | - Matthew Reimherr
- Department of Statistics; Pennsylvania State University; University Park PA USA
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42
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Zimin AV, Stevens KA, Crepeau MW, Puiu D, Wegrzyn JL, Yorke JA, Langley CH, Neale DB, Salzberg SL. An improved assembly of the loblolly pine mega-genome using long-read single-molecule sequencing. Gigascience 2017; 6:1-4. [PMID: 28369353 PMCID: PMC5437942 DOI: 10.1093/gigascience/giw016] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 12/21/2016] [Indexed: 11/30/2022] Open
Abstract
The 22-gigabase genome of loblolly pine (Pinus taeda) is one of the largest ever sequenced. The draft assembly published in 2014 was built entirely from short Illumina reads, with lengths ranging from 100 to 250 base pairs (bp). The assembly was quite fragmented, containing over 11 million contigs whose weighted average (N50) size was 8206 bp. To improve this result, we generated approximately 12-fold coverage in long reads using the Single Molecule Real Time sequencing technology developed at Pacific Biosciences. We assembled the long and short reads together using the MaSuRCA mega-reads assembly algorithm, which produced a substantially better assembly, P. taeda version 2.0. The new assembly has an N50 contig size of 25 361, more than three times as large as achieved in the original assembly, and an N50 scaffold size of 107 821, 61% larger than the previous assembly.
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Affiliation(s)
- Aleksey V Zimin
- Institute for Physical Sciences and Technology, University of Maryland, College Park, MD.,Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Kristian A Stevens
- Department of Evolution and Ecology, University of California, Davis, CA
| | - Marc W Crepeau
- Department of Evolution and Ecology, University of California, Davis, CA
| | - Daniela Puiu
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT
| | - James A Yorke
- Institute for Physical Sciences and Technology, University of Maryland, College Park, MD
| | - Charles H Langley
- Department of Evolution and Ecology, University of California, Davis, CA
| | - David B Neale
- Department of Plant Sciences, University of California, Davis, CA
| | - Steven L Salzberg
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD.,Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD
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43
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Dal Grande F, Sharma R, Meiser A, Rolshausen G, Büdel B, Mishra B, Thines M, Otte J, Pfenninger M, Schmitt I. Adaptive differentiation coincides with local bioclimatic conditions along an elevational cline in populations of a lichen-forming fungus. BMC Evol Biol 2017; 17:93. [PMID: 28359299 PMCID: PMC5374679 DOI: 10.1186/s12862-017-0929-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 03/01/2017] [Indexed: 12/12/2022] Open
Abstract
Background Many fungal species occur across a variety of habitats. Particularly lichens, fungi forming symbioses with photosynthetic partners, have evolved remarkable tolerances for environmental extremes. Despite their ecological importance and ubiquity, little is known about the genetic basis of adaption in lichen populations. Here we studied patterns of genome-wide differentiation in the lichen-forming fungus Lasallia pustulata along an altitudinal gradient in the Mediterranean region. We resequenced six populations as pools and identified highly differentiated genomic regions. We then detected gene-environment correlations while controlling for shared population history and pooled sequencing bias, and performed ecophysiological experiments to assess fitness differences of individuals from different environments. Results We detected two strongly differentiated genetic clusters linked to Mediterranean and temperate-oceanic climate, and an admixture zone, which coincided with the transition between the two bioclimates. High altitude individuals showed ecophysiological adaptations to wetter and more shaded conditions. Highly differentiated genome regions contained a number of genes associated with stress response, local environmental adaptation, and sexual reproduction. Conclusions Taken together our results provide evidence for a complex interplay between demographic history and spatially varying selection acting on a number of key biological processes, suggesting a scenario of ecological speciation. Electronic supplementary material The online version of this article (doi:10.1186/s12862-017-0929-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Francesco Dal Grande
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany.
| | - Rahul Sharma
- Institut für Ökologie, Evolution und Diversität, Goethe-Universität Frankfurt, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany
| | - Anjuli Meiser
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany.,Institut für Ökologie, Evolution und Diversität, Goethe-Universität Frankfurt, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany
| | - Gregor Rolshausen
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Burkhard Büdel
- Plant Ecology and Systematics, Biology Department, University of Kaiserslautern, 67653, Kaiserslautern, Germany
| | - Bagdevi Mishra
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Marco Thines
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Jürgen Otte
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Markus Pfenninger
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany.,Institut für Ökologie, Evolution und Diversität, Goethe-Universität Frankfurt, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany
| | - Imke Schmitt
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany. .,Institut für Ökologie, Evolution und Diversität, Goethe-Universität Frankfurt, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
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44
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Talbot B, Chen TW, Zimmerman S, Joost S, Eckert AJ, Crow TM, Semizer-Cuming D, Seshadri C, Manel S. Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes. J Hered 2016; 108:207-216. [DOI: 10.1093/jhered/esw077] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 10/30/2016] [Indexed: 11/13/2022] Open
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45
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Ikezaki Y, Suyama Y, Middleton BA, Tsumura Y, Teshima K, Tachida H, Kusumi J. Inferences of population structure and demographic history for Taxodium distichum, a coniferous tree in North America, based on amplicon sequencing analysis. AMERICAN JOURNAL OF BOTANY 2016; 103:1937-1949. [PMID: 27849160 DOI: 10.3732/ajb.1600046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 10/03/2016] [Indexed: 06/06/2023]
Abstract
PREMISE OF THE STUDY Studies of natural genetic variation can elucidate the genetic basis of phenotypic variation and the past population structure of species. Our study species, Taxodium distichum, is a unique conifer that inhabits the flood plains and swamps of North America. Morphological and ecological differences in two varieties, T. distichum var. distichum (bald cypress) and T. distichum var. imbricarium (pond cypress), are well known, but little is known about the level of genetic differentiation between the varieties and the demographic history of local populations. METHODS We analyzed nucleotide polymorphisms at 47 nuclear loci from 96 individuals collected from the Mississippi River Alluvial Valley (MRAV), and Gulf Coastal populations in Texas, Louisiana, and Florida using high-throughput DNA sequencing. Standard population genetic statistics were calculated, and demographic parameters were estimated using a composite-likelihood approach. KEY RESULTS Taxodium distichum in North America can be divided into at least three genetic groups, bald cypress in the MRAV and Texas, bald cypress in Florida, and pond cypress in Florida. The levels of genetic differentiation among the groups were low but significant. Several loci showed the signatures of positive selection, which might be responsible for local adaptation or varietal differentiation. CONCLUSIONS Bald cypress was genetically differentiated into two geographical groups, and the boundary was located between the MRAV and Florida. This differentiation could be explained by population expansion from east to west. Despite the overlap of the two varieties' ranges, they were genetically differentiated in Florida. The estimated demographic parameters suggested that pond cypress split from bald cypress during the late Miocene.
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Affiliation(s)
- Yuka Ikezaki
- Graduate School of Systems Life Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Yoshihisa Suyama
- Graduate School of Agricultural Science, Tohoku University, 232-3 Yomogida, Naruko-onsen, Osaki, Miyagi 989-6711, Japan
| | - Beth A Middleton
- Wetland and Aquatic Research Center, U.S. Geological Survey, Lafayette, Louisiana 70506 USA
| | - Yoshihiko Tsumura
- Faculty of Life & Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - Kousuke Teshima
- Department of Biology, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Hidenori Tachida
- Department of Biology, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Junko Kusumi
- Department of Environmental Changes, Faculty of Social and Cultural Studies, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
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46
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Nadeau S, Meirmans PG, Aitken SN, Ritland K, Isabel N. The challenge of separating signatures of local adaptation from those of isolation by distance and colonization history: The case of two white pines. Ecol Evol 2016; 6:8649-8664. [PMID: 28035257 PMCID: PMC5192886 DOI: 10.1002/ece3.2550] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/25/2016] [Accepted: 09/06/2016] [Indexed: 01/13/2023] Open
Abstract
Accurately detecting signatures of local adaptation using genetic‐environment associations (GEAs) requires controlling for neutral patterns of population structure to reduce the risk of false positives. However, a high degree of collinearity between climatic gradients and neutral population structure can greatly reduce power, and the performance of GEA methods in such case is rarely evaluated in empirical studies. In this study, we attempted to disentangle the effects of local adaptation and isolation by environment (IBE) from those of isolation by distance (IBD) and isolation by colonization from glacial refugia (IBC) using range‐wide samples in two white pine species. For this, SNPs from 168 genes, including 52 candidate genes for growth and phenology, were genotyped in 133 and 61 populations of Pinus strobus and P. monticola, respectively. For P. strobus and using all 153 SNPs, climate (IBE) did not significantly explained among‐population variation when controlling for IBD and IBC in redundancy analyses (RDAs). However, 26 SNPs were significantly associated with climate in single‐locus GEA analyses (Bayenv2 and LFMM), suggesting that local adaptation took place in the presence of high gene flow. For P. monticola, we found no evidence of IBE using RDAs and weaker signatures of local adaptation using GEA and FST outlier tests, consistent with adaptation via phenotypic plasticity. In both species, the majority of the explained among‐population variation (69 to 96%) could not be partitioned between the effects of IBE, IBD, and IBC. GEA methods can account differently for this confounded variation, and this could explain the small overlap of SNPs detected between Bayenv2 and LFMM. Our study illustrates the inherent difficulty of taking into account neutral structure in natural populations and the importance of sampling designs that maximize climatic variation, while minimizing collinearity between climatic gradients and neutral structure.
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Affiliation(s)
- Simon Nadeau
- Natural Resources Canada Canadian Forest Service Laurentian Forestry Centre Québec QC Canada; Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Patrick G Meirmans
- Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The Netherlands
| | - Sally N Aitken
- Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Kermit Ritland
- Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Nathalie Isabel
- Natural Resources Canada Canadian Forest Service Laurentian Forestry Centre Québec QC Canada
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47
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Hess M, Wildhagen H, Junker LV, Ensminger I. Transcriptome responses to temperature, water availability and photoperiod are conserved among mature trees of two divergent Douglas-fir provenances from a coastal and an interior habitat. BMC Genomics 2016; 17:682. [PMID: 27565139 PMCID: PMC5002200 DOI: 10.1186/s12864-016-3022-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 08/16/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Local adaptation and phenotypic plasticity are important components of plant responses to variations in environmental conditions. While local adaptation has been widely studied in trees, little is known about plasticity of gene expression in adult trees in response to ever changing environmental conditions in natural habitats. Here we investigate plasticity of gene expression in needle tissue between two Douglas-fir provenances represented by 25 adult trees using deep RNA sequencing (RNA-Seq). RESULTS Using linear mixed models we investigated the effect of temperature, soil water availability and photoperiod on the abundance of 59189 detected transcripts. Expression of more than 80 % of all identified transcripts revealed a response to variations in environmental conditions in the field. GO term overrepresentation analysis revealed gene expression responses to temperature, soil water availability and photoperiod that are highly conserved among many plant taxa. However, expression differences between the two Douglas-fir provenances were rather small compared to the expression differences observed between individual trees. Although the effect of environment on global transcript expression was high, the observed genotype by environment (GxE) interaction of gene expression was surprisingly low, since only 21 of all detected transcripts showed a GxE interaction. CONCLUSIONS The majority of the transcriptome responses in plant leaf tissue is driven by variations in environmental conditions. The small variation between individuals and populations suggests strong conservation of this response within Douglas-fir. Therefore we conclude that plastic transcriptome responses to variations in environmental conditions are only weakly affected by local adaptation in Douglas-fir.
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Affiliation(s)
- Moritz Hess
- Forest Research Institute of Baden-Württemberg (FVA), Wonnhaldestrasse 4, D-79100 Freiburg i. Brsg., Germany
- Institute for Biology III, Faculty of Biology, Albert Ludwigs University Freiburg, Schänzlestrasse 1, D-79104 Freiburg i. Brsg., Germany
- Present Address: Institute of Medical Biometry, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Obere Zahlbacher Strasse 69, 55131 Mainz, Germany
| | - Henning Wildhagen
- Forest Research Institute of Baden-Württemberg (FVA), Wonnhaldestrasse 4, D-79100 Freiburg i. Brsg., Germany
- Present Address: Department of Forest Botany and Tree Physiology, Büsgen-Institute, Georg-August-University Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany
| | - Laura Verena Junker
- Forest Research Institute of Baden-Württemberg (FVA), Wonnhaldestrasse 4, D-79100 Freiburg i. Brsg., Germany
- Department of Biology, Graduate Programs in Cell & Systems Biology and Ecology & Evolutionary Biology, University of Toronto, 3359 Mississauga Road, Mississauga, ON L5L 1C6 Canada
| | - Ingo Ensminger
- Forest Research Institute of Baden-Württemberg (FVA), Wonnhaldestrasse 4, D-79100 Freiburg i. Brsg., Germany
- Department of Biology, Graduate Programs in Cell & Systems Biology and Ecology & Evolutionary Biology, University of Toronto, 3359 Mississauga Road, Mississauga, ON L5L 1C6 Canada
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48
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Suren H, Hodgins KA, Yeaman S, Nurkowski KA, Smets P, Rieseberg LH, Aitken SN, Holliday JA. Exome capture from the spruce and pine giga‐genomes. Mol Ecol Resour 2016; 16:1136-46. [DOI: 10.1111/1755-0998.12570] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 07/06/2016] [Accepted: 07/11/2016] [Indexed: 12/12/2022]
Affiliation(s)
- H. Suren
- Department of Forest Resources and Environmental Conservation Virginia Tech 304 Cheatham Hall Blacksburg VA 24061 USA
- Genetics Bioinformatics and Computational Biology Program Virginia Tech Blacksburg VA 24061 USA
| | - K. A. Hodgins
- School of Biological Sciences Monash University Bld 18 Clayton VIC 3800 Australia
| | - S. Yeaman
- Department of Biological Sciences University of Calgary Calgary Alberta Canada
| | - K. A. Nurkowski
- School of Biological Sciences Monash University Bld 18 Clayton VIC 3800 Australia
| | - P. Smets
- Department of Forest and Conservation Sciences University of British Columbia 3041‐2424 Main Mall Vancouver BC V6T 1Z4 Canada
| | - L. H. Rieseberg
- Department of Botany University of British Columbia 3529 ‐ 6270 University Boulevard Vancouver British Columbia V6T 1Z4 Canada
| | - S. N. Aitken
- Department of Forest and Conservation Sciences University of British Columbia 3041‐2424 Main Mall Vancouver BC V6T 1Z4 Canada
| | - J. A. Holliday
- Department of Forest Resources and Environmental Conservation Virginia Tech 304 Cheatham Hall Blacksburg VA 24061 USA
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49
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Roffler GH, Amish SJ, Smith S, Cosart T, Kardos M, Schwartz MK, Luikart G. SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate. Mol Ecol Resour 2016; 16:1147-64. [PMID: 27327375 DOI: 10.1111/1755-0998.12560] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 06/04/2016] [Accepted: 06/07/2016] [Indexed: 11/30/2022]
Abstract
Identification of genes underlying genomic signatures of natural selection is key to understanding adaptation to local conditions. We used targeted resequencing to identify SNP markers in 5321 candidate adaptive genes associated with known immunological, metabolic and growth functions in ovids and other ungulates. We selectively targeted 8161 exons in protein-coding and nearby 5' and 3' untranslated regions of chosen candidate genes. Targeted sequences were taken from bighorn sheep (Ovis canadensis) exon capture data and directly from the domestic sheep genome (Ovis aries v. 3; oviAri3). The bighorn sheep sequences used in the Dall's sheep (Ovis dalli dalli) exon capture aligned to 2350 genes on the oviAri3 genome with an average of 2 exons each. We developed a microfluidic qPCR-based SNP chip to genotype 476 Dall's sheep from locations across their range and test for patterns of selection. Using multiple corroborating approaches (lositan and bayescan), we detected 28 SNP loci potentially under selection. We additionally identified candidate loci significantly associated with latitude, longitude, precipitation and temperature, suggesting local environmental adaptation. The three methods demonstrated consistent support for natural selection on nine genes with immune and disease-regulating functions (e.g. Ovar-DRA, APC, BATF2, MAGEB18), cell regulation signalling pathways (e.g. KRIT1, PI3K, ORRC3), and respiratory health (CYSLTR1). Characterizing adaptive allele distributions from novel genetic techniques will facilitate investigation of the influence of environmental variation on local adaptation of a northern alpine ungulate throughout its range. This research demonstrated the utility of exon capture for gene-targeted SNP discovery and subsequent SNP chip genotyping using low-quality samples in a nonmodel species.
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Affiliation(s)
- Gretchen H Roffler
- Alaska Science Center, U.S. Geological Survey, 4210 University Drive, Anchorage, AK, 99508, USA.,Wildlife Biology Program, Department of Ecosystem Sciences and Conservation, College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA
| | - Stephen J Amish
- Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - Seth Smith
- Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - Ted Cosart
- Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - Marty Kardos
- Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA.,Evolutionary Biology Centre, Uppsala University, SE-75236, Uppsala, Sweden
| | - Michael K Schwartz
- Evolutionary Biology Centre, Uppsala University, SE-75236, Uppsala, Sweden.,US Forest Service Rocky Mountain Research Station, National Genomics Center for Wildlife and Fish Conservation, 800 E. Beckwith Ave., Missoula, MT, 59801, USA
| | - Gordon Luikart
- Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA.,Flathead Lake Biological Station, University of Montana, Polson, MT, 59860, USA
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50
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Larson WA, Lisi PJ, Seeb JE, Seeb LW, Schindler DE. Major histocompatibility complex diversity is positively associated with stream water temperatures in proximate populations of sockeye salmon. J Evol Biol 2016; 29:1846-59. [PMID: 27341174 DOI: 10.1111/jeb.12926] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 06/16/2016] [Accepted: 06/23/2016] [Indexed: 01/16/2023]
Abstract
Local adaptation to heterogeneous environments generates population diversity within species, significantly increasing ecosystem stability and flows of ecosystem services. However, few studies have isolated the specific mechanisms that create and maintain this diversity. Here, we examined the relationship between water temperature in streams used for spawning and genetic diversity at a gene involved in immune function [the major histocompatibility complex (MHC)] in 14 populations of sockeye salmon (Oncorhynchus nerka) sampled across the Wood River basin in south-western Alaska. The largest influence on MHC diversity was lake basin, but we also found a significant positive correlation between average water temperature and MHC diversity. This positive relationship between temperature and MHC diversity appears to have been produced by natural selection at very local scales rather than neutral processes, as no correlation was observed between temperature and genetic diversity at 90 neutral markers. Additionally, no significant relationship was observed between temperature variability and MHC diversity. Although lake basin was the largest driver of differences in MHC diversity, our results also demonstrate that fine-scale differences in water temperature may generate variable selection regimes in populations that spawn in habitats separated by as little as 1 km. Additionally, our results indicated that some populations may be reaching a maximum level of MHC diversity. We postulate that salmon from populations in warm streams may delay spawning until late summer to avoid thermal stress as well as the elevated levels of pathogen prevalence and virulence associated with warm temperatures earlier in the summer.
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Affiliation(s)
- W A Larson
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA.
| | - P J Lisi
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA
| | - J E Seeb
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA
| | - L W Seeb
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA
| | - D E Schindler
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA
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