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Simon SJ, Furches A, Chhetri H, Evans L, Abeyratne CR, Jones P, Wimp G, Macaya-Sanz D, Jacobson D, Tschaplinski TJ, Tuskan GA, DiFazio SP. Genetic underpinnings of arthropod community distributions in Populus trichocarpa. THE NEW PHYTOLOGIST 2024; 242:1307-1323. [PMID: 38488269 DOI: 10.1111/nph.19660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/21/2024] [Indexed: 04/12/2024]
Abstract
Community genetics seeks to understand the mechanisms by which natural genetic variation in heritable host phenotypes can encompass assemblages of organisms such as bacteria, fungi, and many animals including arthropods. Prior studies that focused on plant genotypes have been unable to identify genes controlling community composition, a necessary step to predict ecosystem structure and function as underlying genes shift within plant populations. We surveyed arthropods within an association population of Populus trichocarpa in three common gardens to discover plant genes that contributed to arthropod community composition. We analyzed our surveys with traditional single-trait genome-wide association analysis (GWAS), multitrait GWAS, and functional networks built from a diverse set of plant phenotypes. Plant genotype was influential in structuring arthropod community composition among several garden sites. Candidate genes important for higher level organization of arthropod communities had broadly applicable functions, such as terpenoid biosynthesis and production of dsRNA binding proteins and protein kinases, which may be capable of targeting multiple arthropod species. We have demonstrated the ability to detect, in an uncontrolled environment, individual genes that are associated with the community assemblage of arthropods on a host plant, further enhancing our understanding of genetic mechanisms that impact ecosystem structure.
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Affiliation(s)
- Sandra J Simon
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
| | - Anna Furches
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, 37996, USA
| | - Hari Chhetri
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
- Computational Systems Biology Group, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Luke Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, 80309, USA
| | | | - Piet Jones
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, 37996, USA
| | - Gina Wimp
- Department of Biology, Georgetown University, Washington, DC, 20057, USA
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
| | - Daniel Jacobson
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, 37996, USA
| | - Timothy J Tschaplinski
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Gerald A Tuskan
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
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Ndayambaza B, Si J, Deng Y, Jia B, He X, Zhou D, Wang C, Zhu X, Liu Z, Qin J, Wang B, Bai X. The Euphrates Poplar Responses to Abiotic Stress and Its Unique Traits in Dry Regions of China (Xinjiang and Inner Mongolia): What Should We Know? Genes (Basel) 2023; 14:2213. [PMID: 38137039 PMCID: PMC10743205 DOI: 10.3390/genes14122213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/27/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
At the moment, drought, salinity, and low-temperature stress are ubiquitous environmental issues. In arid regions including Xinjiang and Inner Mongolia and other areas worldwide, the area of tree plantations appears to be rising, triggering tree growth. Water is a vital resource in the agricultural systems of countries impacted by aridity and salinity. Worldwide efforts to reduce quantitative yield losses on Populus euphratica by adapting tree plant production to unfavorable environmental conditions have been made in response to the responsiveness of the increasing control of water stress. Although there has been much advancement in identifying the genes that resist abiotic stresses, little is known about how plants such as P. euphratica deal with numerous abiotic stresses. P. euphratica is a varied riparian plant that can tolerate drought, salinity, low temperatures, and climate change, and has a variety of water stress adaptability abilities. To conduct this review, we gathered all available information throughout the Web of Science, the Chinese National Knowledge Infrastructure, and the National Center for Biotechnology Information on the impact of abiotic stress on the molecular mechanism and evolution of gene families at the transcription level. The data demonstrated that P. euphratica might gradually adapt its stomatal aperture, photosynthesis, antioxidant activities, xylem architecture, and hydraulic conductivity to endure extreme drought and salt stress. Our analyses will give readers an understanding of how to manage a gene family in desert trees and the influence of abiotic stresses on the productivity of tree plants. They will also give readers the knowledge necessary to improve biotechnology-based tree plant stress tolerance for sustaining yield and quality trees in China's arid regions.
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Affiliation(s)
- Boniface Ndayambaza
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianhua Si
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
| | - Yanfang Deng
- Qilian Mountain National Park Qinghai Provincial Administration, Xining 810000, China;
| | - Bing Jia
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohui He
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
- Faculty of Resources and Environment, Baotou Teachers’ College, Inner Mongolia University of Science and Technology, Baotou 014030, China
| | - Dongmeng Zhou
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chunlin Wang
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinglin Zhu
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zijin Liu
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Qin
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Boyang Wang
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xue Bai
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; (B.N.); (B.J.); (X.H.); (D.Z.); (C.W.); (X.Z.); (Z.L.); (J.Q.); (B.W.); (X.B.)
- University of Chinese Academy of Sciences, Beijing 100049, China
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Zhang ZA, Liu MY, Ren SN, Liu X, Gao YH, Zhu CY, Niu HQ, Chen BW, Liu C, Yin W, Wang HL, Xia X. Identification of WUSCHEL-related homeobox gene and truncated small peptides in transformation efficiency improvement in Eucalyptus. BMC PLANT BIOLOGY 2023; 23:604. [PMID: 38030990 PMCID: PMC10688041 DOI: 10.1186/s12870-023-04617-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND The WUSCHEL-related Homeobox (WOX) genes, which encode plant-specific homeobox (HB) transcription factors, play crucial roles in regulating plant growth and development. However, the functions of WOX genes are little known in Eucalyptus, one of the fastest-growing tree resources with considerable widespread cultivation worldwide. RESULTS A total of nine WOX genes named EgWOX1-EgWOX9 were retrieved and designated from Eucalyptus grandis. From the three divided clades marked as Modern/WUS, Intermediate and Ancient, the largest group Modern/WUS (6 EgWOXs) contains a specific domain with 8 amino acids: TLQLFPLR. The collinearity, cis-regulatory elements, protein-protein interaction network and gene expression analysis reveal that the WUS proteins in E. grandis involve in regulating meristems development and regeneration. Furthermore, by externally adding of truncated peptides isolated from WUS specific domain, the transformation efficiency in E. urophylla × E. grandis DH32-29 was significant enhanced. The transcriptomics data further reveals that the use of small peptides activates metabolism pathways such as starch and sucrose metabolism, phenylpropanoid biosynthesis and flavonoid biosynthesis. CONCLUSIONS Peptides isolated from WUS protein can be utilized to enhance the transformation efficiency in Eucalyptus, thereby contributing to the high-efficiency breeding of Eucalyptus.
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Affiliation(s)
- Zhuo-Ao Zhang
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Mei-Ying Liu
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Shu-Ning Ren
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Xiao Liu
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Yue-Hao Gao
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Chen-Yu Zhu
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Hao-Qiang Niu
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Bo-Wen Chen
- Guangxi Key Laboratory of Superior Timber Trees Resource Cultivation, Guangxi Forestry Research Institute, 23 Yongwu Road, Nanning, Guangxi, 530002, China
| | - Chao Liu
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Weilun Yin
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Hou-Ling Wang
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
| | - Xinli Xia
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
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4
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Ebrahimi A, Sugiyama A, Ayala-Jacobo L, Jacobs DF. Integrative analysis of physiology and genomics provides insights into freeze tolerance adaptations of Acacia koa along an elevational cline. PHYSIOLOGIA PLANTARUM 2023; 175:e14098. [PMID: 38148190 DOI: 10.1111/ppl.14098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 12/28/2023]
Abstract
Natural selection for plant species in heterogeneous environments creates genetic variation for traits such as cold tolerance. While physiological or molecular analyses have been used to evaluate stress tolerance adaptations, combining these approaches may provide deeper insight. Acacia koa (koa) occurs from sea level to 2300 m in Hawai'i, USA. At high elevations, natural koa populations have declined due to deforestation, and freeze tolerance is a limiting factor for tree regeneration. We used physiology and molecular analyses to evaluate cold tolerance of koa populations from low (300-750 m), middle (750-1500 m), and high elevations (1500-2100 m). Half of the seedlings were cold acclimated by exposure to progressively lowered air temperatures for eight weeks (from 25.6/22.2°C to 8/4°C, day/night). Using the whole plant physiology-freezing test and koa C-repeat Binding Factor CBF genes, our results indicated that koa can be cold-acclimated when exposed to low, non-freezing temperatures. Seedlings from high elevations had consistently higher expression of Koa CBF genes associated with cold tolerance, helping to explain variation in cold-hardy phenotypes. Evaluation of the genetic background of 22 koa families across the elevations with low coverage RNA sequencing indicated that high elevation koa had relatively low values of heterozygosity, suggesting that adaptation is more likely to arise in the middle and low elevation sources. This physiology and molecular data for cold tolerance of koa across the elevation gradient of the Hawaiian Islands provides insights into natural selection processes and may help to support guidelines for conservation and seed transfer in forest restoration efforts.
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Affiliation(s)
- Aziz Ebrahimi
- Hardwood Tree Improvement and Regeneration Center, Department of Forestry and Natural Resources, Purdue University, Indiana, USA
| | - Anna Sugiyama
- Hardwood Tree Improvement and Regeneration Center, Department of Forestry and Natural Resources, Purdue University, Indiana, USA
| | - Lilian Ayala-Jacobo
- Hardwood Tree Improvement and Regeneration Center, Department of Forestry and Natural Resources, Purdue University, Indiana, USA
| | - Douglass F Jacobs
- Hardwood Tree Improvement and Regeneration Center, Department of Forestry and Natural Resources, Purdue University, Indiana, USA
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5
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Zhou R, Jenkins JW, Zeng Y, Shu S, Jang H, Harding SA, Williams M, Plott C, Barry KW, Koriabine M, Amirebrahimi M, Talag J, Rajasekar S, Grimwood J, Schmitz RJ, Dawe RK, Schmutz J, Tsai CJ. Haplotype-resolved genome assembly of Populus tremula × P. alba reveals aspen-specific megabase satellite DNA. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 116:1003-1017. [PMID: 37675609 DOI: 10.1111/tpj.16454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/08/2023]
Abstract
Populus species play a foundational role in diverse ecosystems and are important renewable feedstocks for bioenergy and bioproducts. Hybrid aspen Populus tremula × P. alba INRA 717-1B4 is a widely used transformation model in tree functional genomics and biotechnology research. As an outcrossing interspecific hybrid, its genome is riddled with sequence polymorphisms which present a challenge for sequence-sensitive analyses. Here we report a telomere-to-telomere genome for this hybrid aspen with two chromosome-scale, haplotype-resolved assemblies. We performed a comprehensive analysis of the repetitive landscape and identified both tandem repeat array-based and array-less centromeres. Unexpectedly, the most abundant satellite repeats in both haplotypes lie outside of the centromeres, consist of a 147 bp monomer PtaM147, frequently span >1 megabases, and form heterochromatic knobs. PtaM147 repeats are detected exclusively in aspens (section Populus) but PtaM147-like sequences occur in LTR-retrotransposons of closely related species, suggesting their origin from the retrotransposons. The genomic resource generated for this transformation model genotype has greatly improved the design and analysis of genome editing experiments that are highly sensitive to sequence polymorphisms. The work should motivate future hypothesis-driven research to probe into the function of the abundant and aspen-specific PtaM147 satellite DNA.
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Affiliation(s)
- Ran Zhou
- School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
- Department of Genetics, University of Georgia, Athens, Georgia, USA
- Department of Plant Biology, University of Georgia, Athens, Georgia, USA
| | - Jerry W Jenkins
- HudsonAlpha Institute of Biotechnology, Huntsville, Alabama, USA
| | - Yibing Zeng
- Department of Genetics, University of Georgia, Athens, Georgia, USA
| | - Shengqiang Shu
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Hosung Jang
- Department of Genetics, University of Georgia, Athens, Georgia, USA
| | - Scott A Harding
- School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
- Department of Genetics, University of Georgia, Athens, Georgia, USA
- Department of Plant Biology, University of Georgia, Athens, Georgia, USA
| | - Melissa Williams
- HudsonAlpha Institute of Biotechnology, Huntsville, Alabama, USA
| | | | - Kerrie W Barry
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Maxim Koriabine
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Mojgan Amirebrahimi
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Jayson Talag
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, USA
| | - Shanmugam Rajasekar
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, USA
| | - Jane Grimwood
- HudsonAlpha Institute of Biotechnology, Huntsville, Alabama, USA
| | - Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, Georgia, USA
| | - R Kelly Dawe
- Department of Genetics, University of Georgia, Athens, Georgia, USA
- Department of Plant Biology, University of Georgia, Athens, Georgia, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute of Biotechnology, Huntsville, Alabama, USA
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Chung-Jui Tsai
- School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
- Department of Genetics, University of Georgia, Athens, Georgia, USA
- Department of Plant Biology, University of Georgia, Athens, Georgia, USA
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6
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Lagergren J, Pavicic M, Chhetri HB, York LM, Hyatt D, Kainer D, Rutter EM, Flores K, Bailey-Bale J, Klein M, Taylor G, Jacobson D, Streich J. Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0072. [PMID: 37519935 PMCID: PMC10380552 DOI: 10.34133/plantphenomics.0072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 06/27/2023] [Indexed: 08/01/2023]
Abstract
Plant phenotyping is typically a time-consuming and expensive endeavor, requiring large groups of researchers to meticulously measure biologically relevant plant traits, and is the main bottleneck in understanding plant adaptation and the genetic architecture underlying complex traits at population scale. In this work, we address these challenges by leveraging few-shot learning with convolutional neural networks to segment the leaf body and visible venation of 2,906 Populus trichocarpa leaf images obtained in the field. In contrast to previous methods, our approach (a) does not require experimental or image preprocessing, (b) uses the raw RGB images at full resolution, and (c) requires very few samples for training (e.g., just 8 images for vein segmentation). Traits relating to leaf morphology and vein topology are extracted from the resulting segmentations using traditional open-source image-processing tools, validated using real-world physical measurements, and used to conduct a genome-wide association study to identify genes controlling the traits. In this way, the current work is designed to provide the plant phenotyping community with (a) methods for fast and accurate image-based feature extraction that require minimal training data and (b) a new population-scale dataset, including 68 different leaf phenotypes, for domain scientists and machine learning researchers. All of the few-shot learning code, data, and results are made publicly available.
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Affiliation(s)
- John Lagergren
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Mirko Pavicic
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Hari B Chhetri
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Larry M York
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Doug Hyatt
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - David Kainer
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Erica M Rutter
- Department of Applied Mathematics, University of California, Merced, CA, USA
| | - Kevin Flores
- Department of Mathematics, North Carolina State University, Raleigh, NC, USA
| | - Jack Bailey-Bale
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Marie Klein
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Gail Taylor
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jared Streich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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7
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García-García I, Méndez-Cea B, González de Andrés E, Gazol A, Sánchez-Salguero R, Manso-Martínez D, Horreo JL, Camarero JJ, Linares JC, Gallego FJ. Climate and Soil Microsite Conditions Determine Local Adaptation in Declining Silver Fir Forests. PLANTS (BASEL, SWITZERLAND) 2023; 12:2607. [PMID: 37514222 PMCID: PMC10384727 DOI: 10.3390/plants12142607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/15/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023]
Abstract
Ongoing climatic change is threatening the survival of drought-sensitive tree species, such as silver fir (Abies alba). Drought-induced dieback had been previously explored in this conifer, although the role played by tree-level genetic diversity and its relationship with growth patterns and soil microsite conditions remained elusive. We used double digest restriction-site-associated DNA sequencing (ddRADseq) to describe different genetic characteristics of five silver fir forests in the Spanish Pyrenees, including declining and non-declining trees. Single nucleotide polymorphisms (SNPs) were used to investigate the relationships between genetics, dieback, intraspecific trait variation (functional dendrophenotypic traits and leaf traits), local bioclimatic conditions, and rhizosphere soil properties. While there were no noticeable genetic differences between declining and non-declining trees, genome-environment associations with selection signatures were abundant, suggesting a strong influence of climate, soil physicochemical properties, and soil microbial diversity on local adaptation. These results provide novel insights into how genetics and diverse environmental factors are interrelated and highlight the need to incorporate genetic data into silver fir forest dieback studies to gain a better understanding of local adaptation.
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Affiliation(s)
- Isabel García-García
- Departamento de Genética, Fisiología y Microbiología, Unidad de Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Belén Méndez-Cea
- Departamento de Genética, Fisiología y Microbiología, Unidad de Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | | | - Antonio Gazol
- Instituto Pirenaico de Ecología (IPE-CSIC), 50059 Zaragoza, Spain
| | - Raúl Sánchez-Salguero
- Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013 Sevilla, Spain
| | - David Manso-Martínez
- Departamento de Genética, Fisiología y Microbiología, Unidad de Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Jose Luis Horreo
- Departamento de Genética, Fisiología y Microbiología, Unidad de Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - J Julio Camarero
- Instituto Pirenaico de Ecología (IPE-CSIC), 50059 Zaragoza, Spain
| | - Juan Carlos Linares
- Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013 Sevilla, Spain
| | - Francisco Javier Gallego
- Departamento de Genética, Fisiología y Microbiología, Unidad de Genética, Facultad de CC Biológicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
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8
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Rapid screening of secondary aromatic metabolites in Populus trichocarpa leaves. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2023; 16:41. [PMID: 36899393 PMCID: PMC9999501 DOI: 10.1186/s13068-023-02287-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND High-throughput metabolomics analytical methodology is needed for population-scale studies of bioenergy-relevant feedstocks such as poplar (Populus sp.). Here, the authors report the relative abundance of extractable aromatic metabolites in Populus trichocarpa leaves rapidly estimated using pyrolysis-molecular beam mass spectrometry (py-MBMS). Poplar leaves were analyzed in conjunction with and validated by GC/MS analysis of extracts to determine key spectral features used to build PLS models to predict the relative composition of extractable aromatic metabolites in whole poplar leaves. RESULTS The Pearson correlation coefficient for the relative abundance of extractable aromatic metabolites based on ranking between GC/MS analysis and py-MBMS analysis of the Boardman leaf set was 0.86 with R2 = 0.76 using a simplified prediction approach from select ions in MBMS spectra. Metabolites most influential to py-MBMS spectral features in the Clatskanie set included the following compounds: catechol, salicortin, salicyloyl-coumaroyl-glucoside conjugates, α-salicyloylsalicin, tremulacin, as well as other salicylates, trichocarpin, salicylic acid, and various tremuloidin conjugates. Ions in py-MBMS spectra with the highest correlation to the abundance of extractable aromatic metabolites as determined by GC/MS analysis of extracts, included m/z 68, 71, 77, 91, 94, 105, 107, 108, and 122, and were used to develop the simplified prediction approach without PLS models or a priori measurements. CONCLUSIONS The simplified py-MBMS method is capable of rapidly screening leaf tissue for relative abundance of extractable aromatic secondary metabolites to enable prioritization of samples in large populations requiring comprehensive metabolomics that will ultimately inform plant systems biology models and advance the development of optimized biomass feedstocks for renewable fuels and chemicals.
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9
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Li L, Jin Z, Huang R, Zhou J, Song F, Yao L, Li P, Lu W, Xiao L, Quan M, Zhang D, Du Q. Leaf physiology variations are modulated by natural variations that underlie stomatal morphology in Populus. PLANT, CELL & ENVIRONMENT 2023; 46:150-170. [PMID: 36285358 DOI: 10.1111/pce.14471] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/26/2022] [Accepted: 05/28/2022] [Indexed: 06/16/2023]
Abstract
Stomata are essential for photosynthesis and abiotic stress tolerance. Here, we used multiomics approaches to dissect the genetic architecture and adaptive mechanisms that underlie stomatal morphology in Populus tomentosa juvenile natural population (303 accessions). We detected 46 candidate genes and 15 epistatic gene-pairs, associated with 5 stomatal morphologies and 18 leaf development and photosynthesis traits, through genome-wide association studies. Expression quantitative trait locus mapping revealed that stomata-associated gene loci were significantly associated with the expression of leaf-related genes; selective sweep analysis uncovered significant differentiation in the allele frequencies of genes that underlie stomatal variations. An allelic regulatory network operating under drought stress and adequate precipitation conditions, with three key regulators (DUF538, TRA2 and AbFH2) and eight interacting genes, was identified that might regulate leaf physiology via modulation of stomatal shape and density. Validation of candidate gene variations in drought-tolerant and F1 hybrid populations of P. tomentosa showed that the DUF538, TRA2 and AbFH2 loci cause functional stabilisation of spatiotemporal regulatory, whose favourable alleles can be faithfully transmitted to offspring. This study provides insights concerning leaf physiology and stress tolerance via the regulation of stomatal determination in perennial plants.
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Affiliation(s)
- Lianzheng Li
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Zhuoying Jin
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Rui Huang
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Jiaxuan Zhou
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Fangyuan Song
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Liangchen Yao
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Peng Li
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Wenjie Lu
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Liang Xiao
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Mingyang Quan
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Deqiang Zhang
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Qingzhang Du
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
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10
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Abeyratne CR, Macaya-Sanz D, Zhou R, Barry KW, Daum C, Haiby K, Lipzen A, Stanton B, Yoshinaga Y, Zane M, Tuskan GA, DiFazio SP. High-resolution mapping reveals hotspots and sex-biased recombination in Populus trichocarpa. G3 (BETHESDA, MD.) 2022; 13:6762080. [PMID: 36250890 PMCID: PMC9836356 DOI: 10.1093/g3journal/jkac269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/28/2022] [Indexed: 12/14/2022]
Abstract
Fine-scale meiotic recombination is fundamental to the outcome of natural and artificial selection. Here, dense genetic mapping and haplotype reconstruction were used to estimate recombination for a full factorial Populus trichocarpa cross of 7 males and 7 females. Genomes of the resulting 49 full-sib families (N = 829 offspring) were resequenced, and high-fidelity biallelic SNP/INDELs and pedigree information were used to ascertain allelic phase and impute progeny genotypes to recover gametic haplotypes. The 14 parental genetic maps contained 1,820 SNP/INDELs on average that covered 376.7 Mb of physical length across 19 chromosomes. Comparison of parental and progeny haplotypes allowed fine-scale demarcation of cross-over regions, where 38,846 cross-over events in 1,658 gametes were observed. Cross-over events were positively associated with gene density and negatively associated with GC content and long-terminal repeats. One of the most striking findings was higher rates of cross-overs in males in 8 out of 19 chromosomes. Regions with elevated male cross-over rates had lower gene density and GC content than windows showing no sex bias. High-resolution analysis identified 67 candidate cross-over hotspots spread throughout the genome. DNA sequence motifs enriched in these regions showed striking similarity to those of maize, Arabidopsis, and wheat. These findings, and recombination estimates, will be useful for ongoing efforts to accelerate domestication of this and other biomass feedstocks, as well as future studies investigating broader questions related to evolutionary history, perennial development, phenology, wood formation, vegetative propagation, and dioecy that cannot be studied using annual plant model systems.
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Affiliation(s)
| | - David Macaya-Sanz
- Department of Forest Ecology & Genetics, CIFOR-INIA, CSIC, Madrid 28040, Spain
| | - Ran Zhou
- Warnell School of Forestry and Natural Resources, Department of Genetics, and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Kerrie W Barry
- Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | - Christopher Daum
- Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | | | - Anna Lipzen
- Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | | | - Yuko Yoshinaga
- Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | - Matthew Zane
- Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | - Gerald A Tuskan
- Biosciences Division, Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - Stephen P DiFazio
- Corresponding author: Department of Biology, West Virginia University, Morgantown, WV 26506, USA.
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11
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Blumstein M, Sala A, Weston DJ, Holbrook NM, Hopkins R. Plant carbohydrate storage: intra- and inter-specific trade-offs reveal a major life history trait. THE NEW PHYTOLOGIST 2022; 235:2211-2222. [PMID: 35524463 DOI: 10.1111/nph.18213] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/24/2022] [Indexed: 06/14/2023]
Abstract
Trade-offs among carbon sinks constrain how trees physiologically, ecologically, and evolutionarily respond to their environments. These trade-offs typically fall along a productive growth to conservative, bet-hedging continuum. How nonstructural carbohydrates (NSCs) stored in living tree cells (known as carbon stores) fit in this trade-off framework is not well understood. We examined relationships between growth and storage using both within species genetic variation from a common garden, and across species phenotypic variation from a global database. We demonstrate that storage is actively accumulated, as part of a conservative, bet-hedging life history strategy. Storage accumulates at the expense of growth both within and across species. Within the species Populus trichocarpa, genetic trade-offs show that for each additional unit of wood area growth (in cm2 yr-1 ) that genotypes invest in, they lose 1.2 to 1.7 units (mg g-1 NSC) of storage. Across species, for each additional unit of area growth (in cm2 yr-1 ), trees, on average, reduce their storage by 9.5% in stems and 10.4% in roots. Our findings impact our understanding of basic plant biology, fit storage into a widely used growth-survival trade-off spectrum describing life history strategy, and challenges the assumptions of passive storage made in ecosystem models today.
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Affiliation(s)
- Meghan Blumstein
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford St, Cambridge, MA, 02138, USA
- Civil and Environmental Engineering, Massachusetts Institute of Technology, 15 Vassar St, Cambridge, MA, 02139, USA
| | - Anna Sala
- Division of Biological Sciences, University of Montana, Missoula, MT, 59812, USA
| | - David J Weston
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Noel Michelle Holbrook
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford St, Cambridge, MA, 02138, USA
| | - Robin Hopkins
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford St, Cambridge, MA, 02138, USA
- The Arnold Arboretum, 1300 Centre St, Boston, MA, 02130, USA
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12
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Liu Y. Conservation prioritization based on past cascading climatic effects on genetic diversity and population size dynamics: Insights from a temperate tree species. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Yang Liu
- Department of Forest and Conservation Sciences University of British Columbia Vancouver British Columbia Canada
- Department of Archaeology University of Cambridge Cambridge UK
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13
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Janzen T, Miró Pina V. Estimating the time since admixture from phased and unphased molecular data. Mol Ecol Resour 2021; 22:908-926. [PMID: 34599646 PMCID: PMC9291888 DOI: 10.1111/1755-0998.13519] [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: 09/29/2020] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 11/26/2022]
Abstract
After admixture, recombination breaks down genomic blocks of contiguous ancestry. The breakdown of these blocks forms a new “molecular clock” that ticks at a much faster rate than the mutation clock, enabling accurate dating of admixture events in the recent past. However, existing theory on the breakdown of these blocks, or the accumulation of delineations between blocks, so‐called “junctions”, has mostly been limited to using regularly spaced markers on phased data. Here, we present an extension to the theory of junctions using the ancestral recombination graph that describes the expected number of junctions for any distribution of markers along the genome. Furthermore, we provide a new framework to infer the time since admixture using unphased data. We demonstrate both the phased and unphased methods on simulated data and show that our new extensions have improved accuracy with respect to previous methods, especially for smaller population sizes and more ancient admixture times. Lastly, we demonstrate the applicability of our method on three empirical data sets, including labcrosses of yeast (Saccharomyces cerevisae) and two case studies of hybridization in swordtail fish and Populus trees.
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Affiliation(s)
- Thijs Janzen
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.,Carl von Ossietzky University, Oldenburg, Germany
| | - Verónica Miró Pina
- Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), México City, México.,Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
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14
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Ahmar S, Ballesta P, Ali M, Mora-Poblete F. Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing. Int J Mol Sci 2021; 22:10583. [PMID: 34638922 PMCID: PMC8508745 DOI: 10.3390/ijms221910583] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/23/2022] Open
Abstract
Forest tree breeding efforts have focused mainly on improving traits of economic importance, selecting trees suited to new environments or generating trees that are more resilient to biotic and abiotic stressors. This review describes various methods of forest tree selection assisted by genomics and the main technological challenges and achievements in research at the genomic level. Due to the long rotation time of a forest plantation and the resulting long generation times necessary to complete a breeding cycle, the use of advanced techniques with traditional breeding have been necessary, allowing the use of more precise methods for determining the genetic architecture of traits of interest, such as genome-wide association studies (GWASs) and genomic selection (GS). In this sense, main factors that determine the accuracy of genomic prediction models are also addressed. In turn, the introduction of genome editing opens the door to new possibilities in forest trees and especially clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR/Cas9). It is a highly efficient and effective genome editing technique that has been used to effectively implement targetable changes at specific places in the genome of a forest tree. In this sense, forest trees still lack a transformation method and an inefficient number of genotypes for CRISPR/Cas9. This challenge could be addressed with the use of the newly developing technique GRF-GIF with speed breeding.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
| | - Paulina Ballesta
- The National Fund for Scientific and Technological Development, Av. del Agua 3895, Talca 3460000, Chile
| | - Mohsin Ali
- Department of Forestry and Range Management, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Freddy Mora-Poblete
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile;
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15
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Geng X, Xia Y, Chen H, Du K, Yang J, Kang X. High-Frequency Homologous Recombination Occurred Preferentially in Populus. Front Genet 2021; 12:703077. [PMID: 34490036 PMCID: PMC8417060 DOI: 10.3389/fgene.2021.703077] [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: 04/30/2021] [Accepted: 07/14/2021] [Indexed: 11/13/2022] Open
Abstract
Homologous recombination (HR), the most significant event in meiosis, has important implications for genetic diversity and evolution in organisms. Heteroduplex DNA (hDNA), the product of HR, can be captured by artificially induced chromosome doubling during the development of the embryo sac to inhibit postmeiotic segregation, subsequently, and hDNAs are directly detected using codominant simple sequence repeat (SSR) markers. In the present study, two hybrid triploid populations derived from doubling the chromosomes of the embryo sac induced by high temperature in Populus tomentosa served as starting materials. Eighty-seven, 62, and 79 SSR markers on chromosomes 01, 04, and 19, respectively, that were heterozygous in the maternal parent and different from the paternal parent were screened to detect and characterize the hDNA in P. tomentosa. The results showed that the hDNA frequency patterns on chromosomes changed slightly when the number of SSR primers increased. The highest hDNA frequency occurred at the adjacent terminal on chromosomes, which was slightly higher than those at the terminals in the two genotypic individuals, and the hDNA frequency gradually decreased as the locus-centromere distance decreased. With the increase in the number of SSR markers employed for detection, the number of recombination events (REs) detected significantly increased. In regions with high methylation or long terminal repeat (LTR) retrotransposon enrichment, the frequency of hDNA was low, and high frequencies were observed in regions with low sequence complexity and high gene density. High-frequency recombination occurring at high gene density regions strongly affected the association between molecular markers and quantitative trait loci (QTLs), which was an important factor contributing to the difficulty encountered by MAS in achieving the expected breeding results.
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Affiliation(s)
- Xining Geng
- Henan Province Key Laboratory of Germplasm Innovation and Utilization of Eco-Economic Woody Plant, Pingdingshan University, Pingdingshan, China.,Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
| | - Yufei Xia
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
| | - Hao Chen
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
| | - Kang Du
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
| | - Jun Yang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
| | - Xiangyang Kang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing, China.,Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Forestry University, Beijing, China
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16
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Blumstein M, Hopkins R. Adaptive variation and plasticity in non-structural carbohydrate storage in a temperate tree species. PLANT, CELL & ENVIRONMENT 2021; 44:2494-2505. [PMID: 33244757 DOI: 10.1111/pce.13959] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 11/16/2020] [Accepted: 11/20/2020] [Indexed: 06/11/2023]
Abstract
Trees' total amount of non-structural carbohydrate (NSC) stores and the proportion of these stores residing as insoluble starch are vital traits for individuals living in variable environments. However, our understanding of how stores vary in response to environmental stress is poorly understood as the genetic component of storage is rarely accounted for in studies. Here, we quantified variation in NSC traits in branch samples taken from over 600 clonally transplanted black cottonwood (Populus trichocarpa) trees grown in two common gardens. We found heritable variation in both total NSC stores and the proportion of stores in starch (H2TNC = 0.19, H2PropStarch = 0.31), indicating a substantial genetic component of variation. In addition, we found high amounts of plasticity in both traits in response to cold temperatures and significant genotype-by-environment (GxE) interactions in the total amount of NSC stored (54% of P is GxE). This finding of high GxE indicates extensive variation across trees in their response to environment, which may explain why previous studies of carbohydrate stores' responses to stress have failed to converge on a consistent pattern. Overall, we found high amounts of environmental and genetic variation in NSC storage concentrations, which may bolster species against future climate change.
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Affiliation(s)
- Meghan Blumstein
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Robin Hopkins
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- The Arnold Arboretum, Boston, Massachusetts, USA
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17
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Apuli RP, Richards T, Rendón-Anaya M, Karacic A, Rönnberg-Wästljung AC, Ingvarsson PK. The genetic basis of adaptation in phenology in an introduced population of Black Cottonwood (Populus trichocarpa, Torr. & Gray). BMC PLANT BIOLOGY 2021; 21:317. [PMID: 34215191 PMCID: PMC8252265 DOI: 10.1186/s12870-021-03103-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Entering and exiting winter dormancy present important trade-offs between growth and survival at northern latitudes. Many forest trees display local adaptation across latitude in traits associated with these phenology transitions. Transfers of a species outside its native range introduce the species to novel combinations of environmental conditions potentially requiring different combinations of alleles to optimize growth and survival. In this study, we performed genome wide association analyses and a selection scan in a P. trichocarpa mapping population derived from crossings between clones collected across the native range and introduced into Sweden. GWAS analyses were performed using phenotypic data collected across two field seasons and in a controlled phytotron experiment. RESULTS We uncovered 584 putative candidate genes associated with spring and autumn phenology traits as well as with growth. Many regions harboring variation significantly associated with the initiation of leaf shed and leaf autumn coloring appeared to have been evolving under positive selection in the native environments of P. trichocarpa. A comparison between the candidate genes identified with results from earlier GWAS analyses performed in the native environment found a smaller overlap for spring phenology traits than for autumn phenology traits, aligning well with earlier observations that spring phenology transitions have a more complex genetic basis than autumn phenology transitions. CONCLUSIONS In a small and structured introduced population of P. trichocarpa, we find complex genetic architectures underlying all phenology and growth traits, and identify multiple putative candidate genes despite the limitations of the study population.
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Affiliation(s)
- Rami-Petteri Apuli
- Linnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden
| | - Thomas Richards
- Linnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Martha Rendón-Anaya
- Linnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden
| | - Almir Karacic
- Institute for Crop Production Ecology, Swedish University of Agricultural Science, Uppsala, Sweden
| | - Ann-Christin Rönnberg-Wästljung
- Linnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden
| | - Pär K Ingvarsson
- Linnean Centre for Plant Biology, Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Science, Uppsala, Sweden.
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18
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Hu Y, Peng X, Wang F, Chen P, Zhao M, Shen S. Natural population re-sequencing detects the genetic basis of local adaptation to low temperature in a woody plant. PLANT MOLECULAR BIOLOGY 2021; 105:585-599. [PMID: 33651261 DOI: 10.1007/s11103-020-01111-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
Total of 14 SNPs associated with overwintering-related traits and 75 selective regions were detected. Important candidate genes were identified and a possible network of cold-stress responses in woody plants was proposed. Local adaptation to low temperature is essential for woody plants to against changeable climate and safely survive the winter. To uncover the specific molecular mechanism of low temperature adaptation in woody plants, we sequenced 134 core individuals selected from 494 paper mulberry (Broussonetia papyrifera), which naturally distributed in different climate zones and latitudes. The population structure analysis, PCA analysis and neighbor-joining tree analysis indicated that the individuals were classified into three clusters, which showed forceful geographic distribution patterns because of the adaptation to local climate. Using two overwintering phenotypic data collected at high latitudes of 40°N and one bioclimatic variable, genome-phenotype and genome-environment associations, and genome-wide scans were performed. We detected 75 selective regions which possibly undergone temperature selection and identified 14 trait-associated SNPs that corresponded to 16 candidate genes (including LRR-RLK, PP2A, BCS1, etc.). Meanwhile, low temperature adaptation was also supported by other three trait-associated SNPs which exhibiting significant differences in overwintering traits between alleles within three geographic groups. To sum up, a possible network of cold signal perception and responses in woody plants were proposed, including important genes that have been confirmed in previous studies while others could be key potential candidates of woody plants. Overall, our results highlighted the specific and complex molecular mechanism of low temperature adaptation and overwintering of woody plants.
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Affiliation(s)
- Yanmin Hu
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xianjun Peng
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
| | - Fenfen Wang
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peilin Chen
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Meiling Zhao
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shihua Shen
- Key Laboratory of Plant Resources, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China.
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19
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Dixon A, Comont D, Slavov GT, Neve P. Population genomics of selectively neutral genetic structure and herbicide resistance in UK populations of Alopecurus myosuroides. PEST MANAGEMENT SCIENCE 2021; 77:1520-1529. [PMID: 33155426 DOI: 10.1002/ps.6174] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/22/2020] [Accepted: 11/06/2020] [Indexed: 06/07/2023]
Abstract
BACKGROUND Alopecurus myosuroides (blackgrass) is a major weed in Europe with known resistance to multiple herbicide modes of action. In the UK, there is evidence that blackgrass has undergone a range expansion. In this paper, genotyping-by-sequencing and population-level herbicide resistance phenotypes are used to explore spatial patterns of selectively neutral genetic variation and resistance. We also perform a preliminary genome-wide association study (GWAS) and genomic prediction analysis to evaluate the potential of these approaches for investigating nontarget site herbicide resistance. RESULTS Blackgrass was collected from 47 fields across the British Isles and up to eight plants per field population (n = 369) were genotyped by Restriction site-associated DNA (RAD)-sequencing. A total of 20 426 polymorphic loci were identified and used for population genetic analyses. Phenotypic assays revealed significant variation in herbicide resistance between populations. Population structure was weak (FST = 0.024-0.048), but spatial patterns were consistent with an ongoing westward and northward range expansion. We detected strong and consistent Wahlund effects (FIS = 0.30). There were no spatial patterns of herbicide resistance or evidence for confounding with population structure. Using a combination of population-level GWAS and genomic prediction we found that the top 20, 200, and 2000 GWAS loci had higher predictive abilities for fenoxaprop resistance compared to all markers. CONCLUSION There is likely extensive human-mediated gene flow between field populations of the weed blackgrass at a national scale. The lack of confounding of adaptive and neutral genetic variation can enable future, more extensive GWAS analyses to identify the genetic architecture of evolved herbicide resistance. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Andrea Dixon
- Rothamsted Research, West Common, Harpenden, Hertfordshire, UK
- College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - David Comont
- Rothamsted Research, West Common, Harpenden, Hertfordshire, UK
| | - Gancho T Slavov
- Rothamsted Research, West Common, Harpenden, Hertfordshire, UK
- Scion, Rotorua, New Zealand
| | - Paul Neve
- Rothamsted Research, West Common, Harpenden, Hertfordshire, UK
- Agriculture & Horticulture Development Board, Warwickshire, UK
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20
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Yao L, Li P, Du Q, Quan M, Li L, Xiao L, Song F, Lu W, Fang Y, Zhang D. Genetic Architecture Underlying the Metabolites of Chlorogenic Acid Biosynthesis in Populus tomentosa. Int J Mol Sci 2021; 22:2386. [PMID: 33673666 PMCID: PMC7957499 DOI: 10.3390/ijms22052386] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 12/16/2022] Open
Abstract
Chlorogenic acid (CGA) plays a crucial role in defense response, immune regulation, and the response to abiotic stress in plants. However, the genetic regulatory network of CGA biosynthesis pathways in perennial plants remains unclear. Here, we investigated the genetic architecture for CGA biosynthesis using a metabolite-based genome-wide association study (mGWAS) and expression quantitative trait nucleotide (eQTN) mapping in a population of 300 accessions of Populus tomentosa. In total, we investigated 204 SNPs which were significantly associated with 11 metabolic traits, corresponding to 206 genes, and were mainly involved in metabolism and cell growth processes of P. tomentosa. We identified 874 eQTNs representing 1066 genes, in which the expression and interaction of causal genes affected phenotypic variation. Of these, 102 genes showed significant signatures of selection in three geographical populations, which provided insights into the adaptation of CGA biosynthesis to the local environment. Finally, we constructed a genetic network of six causal genes that coordinately regulate CGA biosynthesis, revealing the multiple regulatory patterns affecting CGA accumulation in P. tomentosa. Our study provides a multiomics strategy for understanding the genetic basis underlying the natural variation in the CGA biosynthetic metabolites of Populus, which will enhance the genetic development of abiotic-resistance varieties in forest trees.
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Affiliation(s)
- Liangchen Yao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Peng Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Qingzhang Du
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Mingyang Quan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Lianzheng Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Liang Xiao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Fangyuan Song
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Wenjie Lu
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Yuanyuan Fang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China; (L.Y.); (P.L.); (Q.D.); (M.Q.); (L.L.); (L.X.); (F.S.); (W.L.); (Y.F.)
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China
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21
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Shang H, Hess J, Pickup M, Field DL, Ingvarsson PK, Liu J, Lexer C. Evolution of strong reproductive isolation in plants: broad-scale patterns and lessons from a perennial model group. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190544. [PMID: 32654641 DOI: 10.1098/rstb.2019.0544] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Many recent studies have addressed the mechanisms operating during the early stages of speciation, but surprisingly few studies have tested theoretical predictions on the evolution of strong reproductive isolation (RI). To help address this gap, we first undertook a quantitative review of the hybrid zone literature for flowering plants in relation to reproductive barriers. Then, using Populus as an exemplary model group, we analysed genome-wide variation for phylogenetic tree topologies in both early- and late-stage speciation taxa to determine how these patterns may be related to the genomic architecture of RI. Our plant literature survey revealed variation in barrier complexity and an association between barrier number and introgressive gene flow. Focusing on Populus, our genome-wide analysis of tree topologies in speciating poplar taxa points to unusually complex genomic architectures of RI, consistent with earlier genome-wide association studies. These architectures appear to facilitate the 'escape' of introgressed genome segments from polygenic barriers even with strong RI, thus affecting their relationships with recombination rates. Placed within the context of the broader literature, our data illustrate how phylogenomic approaches hold great promise for addressing the evolution and temporary breakdown of RI during late stages of speciation. This article is part of the theme issue 'Towards the completion of speciation: the evolution of reproductive isolation beyond the first barriers'.
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Affiliation(s)
- Huiying Shang
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria.,Vienna Graduate School of Population Genetics, Vienna, Austria
| | - Jaqueline Hess
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria.,Helmholtz Centre for Environmental Research, Halle (Saale), Germany
| | - Melinda Pickup
- Institute of Science and Technology (IST), Klosterneuburg, Austria
| | - David L Field
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria.,Edith Cowan University, Perth, Australia
| | - Pär K Ingvarsson
- Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Jianquan Liu
- Key Laboratory for Bio-resources and Eco-environment, College of Life Science, Sichuan University, Chengdu, People's Republic of China
| | - Christian Lexer
- Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
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22
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Jia H, Liu G, Li J, Zhang J, Sun P, Zhao S, Zhou X, Lu M, Hu J. Genome resequencing reveals demographic history and genetic architecture of seed salinity tolerance in Populus euphratica. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:4308-4320. [PMID: 32242238 PMCID: PMC7475257 DOI: 10.1093/jxb/eraa172] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 04/01/2020] [Indexed: 05/07/2023]
Abstract
Populus euphratica is a dominant tree species in desert riparian forests and possesses extraordinary adaptation to salinity stress. Exploration of its genomic variation and molecular underpinning of salinity tolerance is important for elucidating population evolution and identifying stress-related genes. Here, we identify approximately 3.15 million single nucleotide polymorphisms using whole-genome resequencing. The natural populations of P. euphratica in northwest China are divided into four distinct clades that exhibit strong geographical distribution patterns. Pleistocene climatic fluctuations and tectonic deformation jointly shaped the extant genetic patterns. A seed germination rate-based salinity tolerance index was used to evaluate seed salinity tolerance of P. euphratica and a genome-wide association study was implemented. A total of 38 single nucleotide polymorphisms were associated with seed salinity tolerance and were located within or near 82 genes. Expression profiles showed that most of these genes were regulated under salt stress, revealing the genetic complexity of seed salinity tolerance. Furthermore, DEAD-box ATP-dependent RNA helicase 57 and one undescribed gene (CCG029559) were demonstrated to improve the seed salinity tolerance in transgenic Arabidopsis. These results provide new insights into the demographic history and genetic architecture of seed salinity tolerance in desert poplar.
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Affiliation(s)
- Huixia Jia
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | | | - Jianbo Li
- Experimental Center of Forestry in North China, Chinese Academy of Forestry, Beijing, China
| | - Jin Zhang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Shutang Zhao
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Xun Zhou
- Beijing Novogene Co. Ltd, Beijing, China
| | - Mengzhu Lu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Correspondence: or
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Correspondence: or
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23
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Simon SJ, Tschaplinski TJ, M. LeBoldus J, Keefover‐Ring K, Azeem M, Chen J, Macaya‐Sanz D, MacDonald WL, Muchero W, DiFazio SP. Host plant genetic control of associated fungal and insect species in a Populus hybrid cross. Ecol Evol 2020; 10:5119-5134. [PMID: 32551087 PMCID: PMC7297788 DOI: 10.1002/ece3.6266] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/05/2020] [Accepted: 03/23/2020] [Indexed: 11/10/2022] Open
Abstract
Plants employ a diverse set of defense mechanisms to mediate interactions with insects and fungi. These relationships can leave lasting impacts on host plant genome structure such as rapid expansion of gene families through tandem duplication. These genomic signatures provide important clues about the complexities of plant/biotic stress interactions and evolution. We used a pseudo-backcross hybrid family to identify quantitative trait loci (QTL) controlling associations between Populus trees and several common Populus diseases and insects. Using whole-genome sequences from each parent, we identified candidate genes that may mediate these interactions. Candidates were partially validated using mass spectrometry to identify corresponding QTL for defensive compounds. We detected significant QTL for two interacting fungal pathogens and three insects. The QTL intervals contained candidate genes potentially involved in physical and chemical mechanisms of host-plant resistance and susceptibility. In particular, we identified adjoining QTLs for a phenolic glycoside and Phyllocolpa sawfly abundance. There was also significant enrichment of recent tandem duplications in the genomic intervals of the native parent, but not the exotic parent. Tandem gene duplication may be an important mechanism for rapid response to biotic stressors, enabling trees with long juvenile periods to reach maturity despite many coevolving biotic stressors.
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Affiliation(s)
- Sandra J. Simon
- Department of BiologyWest Virginia UniversityMorgantownWest Virginia
| | - Timothy J. Tschaplinski
- Biosciences Division and Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - Jared M. LeBoldus
- Forest Engineering, Resources & ManagementOregon State UniversityCorvallisOregon
- Botany and Plant PathologyOregon State UniversityCorvallisOregon
| | - Ken Keefover‐Ring
- Department of BotanyUniversity of Wisconsin-MadisonMadisonWisconsin
- Department of GeographyUniversity of WisconsinMadisonWisconsin
| | - Muhammad Azeem
- Department of BotanyUniversity of Wisconsin-MadisonMadisonWisconsin
- Department of GeographyUniversity of WisconsinMadisonWisconsin
- Department of ChemistryCOMSATS University IslamabadAbbottabadPakistan
| | - Jin‐Gui Chen
- Biosciences Division and Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - David Macaya‐Sanz
- Department of BiologyWest Virginia UniversityMorgantownWest Virginia
| | - William L. MacDonald
- Division of Plant and Soil SciencesWest Virginia UniversityMorgantownWest Virginia
| | - Wellington Muchero
- Biosciences Division and Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
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24
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Blumstein M, Richardson A, Weston D, Zhang J, Muchero W, Hopkins R. A New Perspective on Ecological Prediction Reveals Limits to Climate Adaptation in a Temperate Tree Species. Curr Biol 2020; 30:1447-1453.e4. [PMID: 32220321 DOI: 10.1016/j.cub.2020.02.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 12/17/2019] [Accepted: 02/03/2020] [Indexed: 01/02/2023]
Abstract
Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.
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Affiliation(s)
- Meghan Blumstein
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.
| | - Andrew Richardson
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - David Weston
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Jin Zhang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Wellington Muchero
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Robin Hopkins
- Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA; The Arnold Arboretum, 1300 Centre Street, Boston, MA 02130, USA
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25
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Wang M, Zhang L, Zhang Z, Li M, Wang D, Zhang X, Xi Z, Keefover-Ring K, Smart LB, DiFazio SP, Olson MS, Yin T, Liu J, Ma T. Phylogenomics of the genus Populus reveals extensive interspecific gene flow and balancing selection. THE NEW PHYTOLOGIST 2020; 225:1370-1382. [PMID: 31550399 DOI: 10.1111/nph.16215] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Accepted: 09/16/2019] [Indexed: 05/10/2023]
Abstract
Phylogenetic analysis is complicated by interspecific gene flow and the presence of shared ancestral polymorphisms, particularly those maintained by balancing selection. In this study, we aimed to examine the prevalence of these factors during the diversification of Populus, a model tree genus in the Northern Hemisphere. We constructed phylogenetic trees of 29 Populus taxa using 80 individuals based on re-sequenced genomes. Our species tree analyses recovered four main clades in the genus based on consensus nuclear phylogenies, but in conflict with the plastome phylogeny. A few interspecific relationships remained unresolved within the multiple-species clade because of inconsistent gene trees. Our results indicated that gene flow has been widespread within each clade and also occurred among the four clades during their early divergence. We identified 45 candidate genes with ancient polymorphisms maintained by balancing selection. These genes were mainly associated with mating compatibility, growth and stress resistance. Both gene flow and selection-mediated ancient polymorphisms are prevalent in the genus Populus. These are potentially important contributors to adaptive variation. Our results provide a framework for the diversification of model tree genus that will facilitate future comparative studies.
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Affiliation(s)
- Mingcheng Wang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Lei Zhang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Zhiyang Zhang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Mengmeng Li
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Deyan Wang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Xu Zhang
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology & College of Life Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Zhenxiang Xi
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Ken Keefover-Ring
- Departments of Botany and Geography, University of Wisconsin-Madison, 430 Lincoln Dr., Madison, WI, 53706, USA
| | - Lawrence B Smart
- Horticulture Section, School of Integrative Plant Science, New York State Agricultural Experiment Station, Cornell University, Geneva, NY, 14456, USA
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, 25606, USA
| | - Matthew S Olson
- Department of Biological Sciences, Texas Tech University, Box 43131, Lubbock, TX, 79409-3131, USA
| | - Tongming Yin
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Jianquan Liu
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology & College of Life Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Tao Ma
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
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Piot A, Prunier J, Isabel N, Klápště J, El-Kassaby YA, Villarreal Aguilar JC, Porth I. Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies. Front Genet 2020; 10:1384. [PMID: 32047512 PMCID: PMC6997551 DOI: 10.3389/fgene.2019.01384] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 12/18/2019] [Indexed: 12/30/2022] Open
Abstract
Genome-wide association studies are powerful tools to elucidate the genome-to-phenome relationship. In order to explain most of the observed heritability of a phenotypic trait, a sufficient number of individuals and a large set of genetic variants must be examined. The development of high-throughput technologies and cost-efficient resequencing of complete genomes have enabled the genome-wide identification of genetic variation at large scale. As such, almost all existing genetic variation becomes available, and it is now possible to identify rare genetic variants in a population sample. Rare genetic variants that were usually filtered out in most genetic association studies are the most numerous genetic variations across genomes and hold great potential to explain a significant part of the missing heritability observed in association studies. Rare genetic variants must be identified with high confidence, as they can easily be confounded with sequencing errors. In this study, we used a pre-filtered data set of 1,014 pure Populus trichocarpa entire genomes to identify rare and common small genetic variants across individual genomes. We compared variant calls between Platypus and HaplotypeCaller pipelines, and we further applied strict quality filters for improved genetic variant identification. Finally, we only retained genetic variants that were identified by both variant callers increasing calling confidence. Based on these shared variants and after stringent quality filtering, we found high genomic diversity in P. trichocarpa germplasm, with 7.4 million small genetic variants. Importantly, 377k non-synonymous variants (5% of the total) were uncovered. We highlight the importance of genomic diversity and the potential of rare defective genetic variants in explaining a significant portion of P. trichocarpa's phenotypic variability in association genetics. The ultimate goal is to associate both rare and common alleles with poplar's wood quality traits to support selective breeding for an improved bioenergy feedstock.
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Affiliation(s)
- Anthony Piot
- Department of Wood and Forest Sciences, Université Laval, Quebec, QC, Canada.,Institute for System and Integrated Biology (IBIS), Université Laval, Quebec, QC, Canada.,Centre for Forest Research, Université Laval, Quebec, QC, Canada
| | - Julien Prunier
- Department of Wood and Forest Sciences, Université Laval, Quebec, QC, Canada.,Institute for System and Integrated Biology (IBIS), Université Laval, Quebec, QC, Canada.,Centre for Forest Research, Université Laval, Quebec, QC, Canada
| | - Nathalie Isabel
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, QC, Canada
| | | | - Yousry A El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada
| | - Juan Carlos Villarreal Aguilar
- Centre for Forest Research, Université Laval, Quebec, QC, Canada.,Smithsonian Tropical Research Institute (STRI), Ancon, Panama.,Department of Biology, Université Laval, Quebec, QC, Canada
| | - Ilga Porth
- Department of Wood and Forest Sciences, Université Laval, Quebec, QC, Canada.,Institute for System and Integrated Biology (IBIS), Université Laval, Quebec, QC, Canada.,Centre for Forest Research, Université Laval, Quebec, QC, Canada
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27
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Inferring the Genomic Landscape of Recombination Rate Variation in European Aspen ( Populus tremula). G3-GENES GENOMES GENETICS 2020; 10:299-309. [PMID: 31744900 PMCID: PMC6945010 DOI: 10.1534/g3.119.400504] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The rate of meiotic recombination is one of the central factors determining genome-wide levels of linkage disequilibrium which has important consequences for the efficiency of natural selection and for the dissection of quantitative traits. Here we present a new, high-resolution linkage map for Populus tremula that we use to anchor approximately two thirds of the P. tremula draft genome assembly on to the expected 19 chromosomes, providing us with the first chromosome-scale assembly for P. tremula (Table 2). We then use this resource to estimate variation in recombination rates across the P. tremula genome and compare these results to recombination rates based on linkage disequilibrium in a large number of unrelated individuals. We also assess how variation in recombination rates is associated with a number of genomic features, such as gene density, repeat density and methylation levels. We find that recombination rates obtained from the two methods largely agree, although the LD-based method identifies a number of genomic regions with very high recombination rates that the map-based method fails to detect. Linkage map and LD-based estimates of recombination rates are positively correlated and show similar correlations with other genomic features, showing that both methods can accurately infer recombination rate variation across the genome. Recombination rates are positively correlated with gene density and negatively correlated with repeat density and methylation levels, suggesting that recombination is largely directed toward gene regions in P. tremula.
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28
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Howe GT, Jayawickrama K, Kolpak SE, Kling J, Trappe M, Hipkins V, Ye T, Guida S, Cronn R, Cushman SA, McEvoy S. An Axiom SNP genotyping array for Douglas-fir. BMC Genomics 2020; 21:9. [PMID: 31900111 PMCID: PMC6942338 DOI: 10.1186/s12864-019-6383-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 12/10/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND In forest trees, genetic markers have been used to understand the genetic architecture of natural populations, identify quantitative trait loci, infer gene function, and enhance tree breeding. Recently, new, efficient technologies for genotyping thousands to millions of single nucleotide polymorphisms (SNPs) have finally made large-scale use of genetic markers widely available. These methods will be exceedingly valuable for improving tree breeding and understanding the ecological genetics of Douglas-fir, one of the most economically and ecologically important trees in the world. RESULTS We designed SNP assays for 55,766 potential SNPs that were discovered from previous transcriptome sequencing projects. We tested the array on ~ 2300 related and unrelated coastal Douglas-fir trees (Pseudotsuga menziesii var. menziesii) from Oregon and Washington, and 13 trees of interior Douglas-fir (P. menziesii var. glauca). As many as ~ 28 K SNPs were reliably genotyped and polymorphic, depending on the selected SNP call rate. To increase the number of SNPs and improve genome coverage, we developed protocols to 'rescue' SNPs that did not pass the default Affymetrix quality control criteria (e.g., 97% SNP call rate). Lowering the SNP call rate threshold from 97 to 60% increased the number of successful SNPs from 20,669 to 28,094. We used a subset of 395 unrelated trees to calculate SNP population genetic statistics for coastal Douglas-fir. Over a range of call rate thresholds (97 to 60%), the median call rate for SNPs in Hardy-Weinberg equilibrium ranged from 99.2 to 99.7%, and the median minor allele frequency ranged from 0.198 to 0.233. The successful SNPs also worked well on interior Douglas-fir. CONCLUSIONS Based on the original transcriptome assemblies and comparisons to version 1.0 of the Douglas-fir reference genome, we conclude that these SNPs can be used to genotype about 10 K to 15 K loci. The Axiom genotyping array will serve as an excellent foundation for studying the population genomics of Douglas-fir and for implementing genomic selection. We are currently using the array to construct a linkage map and test genomic selection in a three-generation breeding program for coastal Douglas-fir.
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Affiliation(s)
- Glenn T Howe
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA.
| | - Keith Jayawickrama
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Scott E Kolpak
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Jennifer Kling
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Matt Trappe
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | - Valerie Hipkins
- USDA Forest Service, National Forest Genetics Laboratory, Placerville, CA, USA
| | - Terrance Ye
- Northwest Tree Improvement Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
| | | | - Richard Cronn
- USDA Forest Service, Pacific Northwest Research Station, Corvallis, OR, USA
| | - Samuel A Cushman
- USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, USA
| | - Susan McEvoy
- Pacific Northwest Tree Improvement Research Cooperative, Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, USA
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29
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Chhetri HB, Furches A, Macaya-Sanz D, Walker AR, Kainer D, Jones P, Harman-Ware AE, Tschaplinski TJ, Jacobson D, Tuskan GA, DiFazio SP. Genome-Wide Association Study of Wood Anatomical and Morphological Traits in Populus trichocarpa. FRONTIERS IN PLANT SCIENCE 2020; 11:545748. [PMID: 33013968 PMCID: PMC7509168 DOI: 10.3389/fpls.2020.545748] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 08/21/2020] [Indexed: 05/04/2023]
Abstract
To understand the genetic mechanisms underlying wood anatomical and morphological traits in Populus trichocarpa, we used 869 unrelated genotypes from a common garden in Clatskanie, Oregon that were previously collected from across the distribution range in western North America. Using GEMMA mixed model analysis, we tested for the association of 25 phenotypic traits and nine multitrait combinations with 6.741 million SNPs covering the entire genome. Broad-sense trait heritabilities ranged from 0.117 to 0.477. Most traits were significantly correlated with geoclimatic variables suggesting a role of climate and geography in shaping the variation of this species. Fifty-seven SNPs from single trait GWAS and 11 SNPs from multitrait GWAS passed an FDR threshold of 0.05, leading to the identification of eight and seven nearby candidate genes, respectively. The percentage of phenotypic variance explained (PVE) by the significant SNPs for both single and multitrait GWAS ranged from 0.01% to 6.18%. To further evaluate the potential roles of candidate genes, we used a multi-omic network containing five additional data sets, including leaf and wood metabolite GWAS layers and coexpression and comethylation networks. We also performed a functional enrichment analysis on coexpression nearest neighbors for each gene model identified by the wood anatomical and morphological trait GWAS analyses. Genes affecting cell wall composition and transport related genes were enriched in wood anatomy and stomatal density trait networks. Signaling and metabolism related genes were also common in networks for stomatal density. For leaf morphology traits (leaf dry and wet weight) the networks were significantly enriched for GO terms related to photosynthetic processes as well as cellular homeostasis. The identified genes provide further insights into the genetic control of these traits, which are important determinants of the suitability and sustainability of improved genotypes for lignocellulosic biofuel production.
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Affiliation(s)
- Hari B. Chhetri
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Anna Furches
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Alejandro R. Walker
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, United States
| | - David Kainer
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Piet Jones
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - Anne E. Harman-Ware
- Biosciences Center, and National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO, United States
| | - Timothy J. Tschaplinski
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States
| | - Gerald A. Tuskan
- Biosciences Division, and The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Stephen P. DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, United States
- *Correspondence: Stephen P. DiFazio,
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30
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Carlson CH, Gouker FE, Crowell CR, Evans L, DiFazio SP, Smart CD, Smart LB. Joint linkage and association mapping of complex traits in shrub willow (Salix purpurea L.). ANNALS OF BOTANY 2019; 124:701-716. [PMID: 31008500 PMCID: PMC6821232 DOI: 10.1093/aob/mcz047] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 03/08/2019] [Indexed: 05/25/2023]
Abstract
BACKGROUND AND AIMS Increasing energy demands and the necessity to reduce greenhouse gas emissions are key motivating factors driving the development of lignocellulosic crops as an alternative to non-renewable energy sources. The effects of global climate change will require a better understanding of the genetic basis of complex adaptive traits to breed more resilient bioenergy feedstocks, like willow (Salix spp.). Shrub willow is a sustainable and dedicated bioenergy crop, bred to be fast-growing and high-yielding on marginal land without competing with food crops. In a rapidly changing climate, genomic advances will be vital for the sustained improvement of willow and other non-model bioenergy crops. Here, joint genetic mapping was used to exploit genetic variation garnered from both recent and historical recombination events in S. purpurea. METHODS A panel of North American naturalized S. purpurea accessions and full-sib F2S. purpurea population were genotyped and phenotyped for a suite of morphological, physiological, pest and disease resistance, and wood chemical composition traits, collected from multi-environment and multi-year replicated field trials. Controlling for population stratification and kinship in the association panel and spatial variation in the F2, a comprehensive mixed model analysis was used to dissect the complex genetic architecture and plasticity of these important traits. KEY RESULTS Individually, genome-wide association (GWAS) models differed in terms of power, but the combined approach, which corrects for yearly and environmental co-factors across datasets, improved the overall detection and resolution of associated loci. Although there were few significant GWAS hits located within support intervals of QTL for corresponding traits in the F2, many large-effect QTL were identified, as well as QTL hotspots. CONCLUSIONS This study provides the first comparison of linkage analysis and linkage disequilibrium mapping approaches in Salix, and highlights the complementarity and limits of these two methods for elucidating the genetic architecture of complex bioenergy-related traits of a woody perennial breeding programme.
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Affiliation(s)
- Craig H Carlson
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Fred E Gouker
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Chase R Crowell
- Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Luke Evans
- Institute for Behavioral Genetics and Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Christine D Smart
- Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
| | - Lawrence B Smart
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY, USA
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31
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Usai G, Mascagni F, Vangelisti A, Giordani T, Ceccarelli M, Cavallini A, Natali L. Interspecific hybridisation and LTR-retrotransposon mobilisation-related structural variation in plants: A case study. Genomics 2019; 112:1611-1621. [PMID: 31605729 DOI: 10.1016/j.ygeno.2019.09.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 07/13/2019] [Accepted: 09/12/2019] [Indexed: 11/30/2022]
Abstract
The dynamics of long-terminal-repeat retrotransposons in two poplar species (Populus deltoides and P. nigra) and in an interspecific hybrid, recently synthesized, were investigated by analyzing the genomic abundance and transcription levels of a collection of 828 full-length retroelements identified in the genome sequence of P. trichocarpa, all occurring also in the genomes of P. deltoides and P. nigra. Overall, genomic abundance and transcription levels of many retrotransposons in the hybrid resulted higher or lower than expected by calculating the mean of the parental values. A bioinformatics procedure was established to ascertain the occurrence of the same retrotransposon loci in the three genotypes. The results indicated that retrotransposon abundance variations between the hybrid and the mean value of the parents were due to i) co-segregation of retrotransposon high- or low-abundant haplotypes; ii) new retroelement insertions; iii) retrotransposon loss. Concerning retrotransposon expression, this was generally low, with only 14/828 elements over- or under-expressed in the hybrid than expected by calculating the mean of the parents. It is concluded that interspecific hybridisation between the two poplar species determine quantitative variation and differential expression of some retrotransposons, with possible consequences for the genetic differentiation of the hybrid.
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Affiliation(s)
- Gabriele Usai
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Flavia Mascagni
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Alberto Vangelisti
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Tommaso Giordani
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Marilena Ceccarelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di sotto 8, 06123 Perugia, Italy
| | - Andrea Cavallini
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy.
| | - Lucia Natali
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy.
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32
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Weighill D, Tschaplinski TJ, Tuskan GA, Jacobson D. Data Integration in Poplar: 'Omics Layers and Integration Strategies. Front Genet 2019; 10:874. [PMID: 31608114 PMCID: PMC6773870 DOI: 10.3389/fgene.2019.00874] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 08/20/2019] [Indexed: 12/20/2022] Open
Abstract
Populus trichocarpa is an important biofuel feedstock that has been the target of extensive research and is emerging as a model organism for plants, especially woody perennials. This research has generated several large ‘omics datasets. However, only few studies in Populus have attempted to integrate various data types. This review will summarize various ‘omics data layers, focusing on their application in Populus species. Subsequently, network and signal processing techniques for the integration and analysis of these data types will be discussed, with particular reference to examples in Populus.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Timothy J Tschaplinski
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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33
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Bresadola L, Caseys C, Castiglione S, Buerkle CA, Wegmann D, Lexer C. Admixture mapping in interspecific Populus hybrids identifies classes of genomic architectures for phytochemical, morphological and growth traits. THE NEW PHYTOLOGIST 2019; 223:2076-2089. [PMID: 31104343 PMCID: PMC6771622 DOI: 10.1111/nph.15930] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Accepted: 05/06/2019] [Indexed: 05/03/2023]
Abstract
The genomic architecture of functionally important traits is key to understanding the maintenance of reproductive barriers and trait differences when divergent populations or species hybridize. We conducted a genome-wide association study (GWAS) to study trait architecture in natural hybrids of two ecologically divergent Populus species. We genotyped 472 seedlings from a natural hybrid zone of Populus alba and Populus tremula for genome-wide markers from reduced representation sequencing, phenotyped the plants in common gardens for 46 phytochemical (phenylpropanoid), morphological and growth traits, and used a Bayesian polygenic model for mapping. We detected three classes of genomic architectures: traits with finite, detectable associations of genetic loci with phenotypic variation in addition to highly polygenic heritability; traits with indications for polygenic heritability only; and traits with no detectable heritability. For the first class, we identified genome regions with plausible candidate genes for phenylpropanoid biosynthesis or its regulation, including MYB transcription factors and glycosyl transferases. GWAS in natural, recombinant hybrids represent a promising step towards resolving the genomic architecture of phenotypic traits in long-lived species. This facilitates the fine-mapping and subsequent functional characterization of genes and networks causing differences in hybrid performance and fitness.
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Affiliation(s)
- Luisa Bresadola
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
| | - Céline Caseys
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Department of Plant SciencesUniversity of California DavisOne Shields AvenueDavisCA95616USA
| | - Stefano Castiglione
- Department of Chemistry and Biology ‘A. Zambelli’University of SalernoVia Giovanni Paolo II 13284084Fisciano, SalernoItaly
| | - C. Alex Buerkle
- Department of BotanyUniversity of Wyoming1000 E. University Ave.LaramieWY82071USA
| | - Daniel Wegmann
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Swiss Institute of Bioinformatics1700FribourgSwitzerland
| | - Christian Lexer
- Department of BiologyUniversity of FribourgChemin du Musée 101700FribourgSwitzerland
- Department of Botany and Biodiversity ResearchFaculty of Life SciencesUniversity of ViennaRennweg 12A‐1030ViennaAustria
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34
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Chhetri HB, Macaya-Sanz D, Kainer D, Biswal AK, Evans LM, Chen JG, Collins C, Hunt K, Mohanty SS, Rosenstiel T, Ryno D, Winkeler K, Yang X, Jacobson D, Mohnen D, Muchero W, Strauss SH, Tschaplinski TJ, Tuskan GA, DiFazio SP. Multitrait genome-wide association analysis of Populus trichocarpa identifies key polymorphisms controlling morphological and physiological traits. THE NEW PHYTOLOGIST 2019; 223:293-309. [PMID: 30843213 DOI: 10.1111/nph.15777] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 02/22/2019] [Indexed: 05/08/2023]
Abstract
Genome-wide association studies (GWAS) have great promise for identifying the loci that contribute to adaptive variation, but the complex genetic architecture of many quantitative traits presents a substantial challenge. We measured 14 morphological and physiological traits and identified single nucleotide polymorphism (SNP)-phenotype associations in a Populus trichocarpa population distributed from California, USA to British Columbia, Canada. We used whole-genome resequencing data of 882 trees with more than 6.78 million SNPs, coupled with multitrait association to detect polymorphisms with potentially pleiotropic effects. Candidate genes were validated with functional data. Broad-sense heritability (H2 ) ranged from 0.30 to 0.56 for morphological traits and 0.08 to 0.36 for physiological traits. In total, 4 and 20 gene models were detected using the single-trait and multitrait association methods, respectively. Several of these associations were corroborated by additional lines of evidence, including co-expression networks, metabolite analyses, and direct confirmation of gene function through RNAi. Multitrait association identified many more significant associations than single-trait association, potentially revealing pleiotropic effects of individual genes. This approach can be particularly useful for challenging physiological traits such as water-use efficiency or complex traits such as leaf morphology, for which we were able to identify credible candidate genes by combining multitrait association with gene co-expression and co-methylation data.
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Affiliation(s)
- Hari B Chhetri
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
| | - David Kainer
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Ajaya K Biswal
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
| | - Luke M Evans
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
| | - Jin-Gui Chen
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | | | - Kimberly Hunt
- ArborGen, Inc., 2011 Broadbank Ct., Ridgeville, SC, 29472, USA
| | - Sushree S Mohanty
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Todd Rosenstiel
- Department of Biology, Portland State University, Portland, OR, 97207, USA
| | - David Ryno
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
| | - Kim Winkeler
- ArborGen, Inc., 2011 Broadbank Ct., Ridgeville, SC, 29472, USA
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Debra Mohnen
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
| | - Wellington Muchero
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Steven H Strauss
- Department of Forest Ecosystems & Society, Oregon State University, Corvallis, OR, 97331, USA
| | | | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Stephen P DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, 26506, USA
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35
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Labbé J, Muchero W, Czarnecki O, Wang J, Wang X, Bryan AC, Zheng K, Yang Y, Xie M, Zhang J, Wang D, Meidl P, Wang H, Morrell-Falvey JL, Cope KR, Maia LGS, Ané JM, Mewalal R, Jawdy SS, Gunter LE, Schackwitz W, Martin J, Le Tacon F, Li T, Zhang Z, Ranjan P, Lindquist E, Yang X, Jacobson DA, Tschaplinski TJ, Barry K, Schmutz J, Chen JG, Tuskan GA. Mediation of plant-mycorrhizal interaction by a lectin receptor-like kinase. NATURE PLANTS 2019; 5:676-680. [PMID: 31285560 DOI: 10.1038/s41477-019-0469-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 06/04/2019] [Indexed: 05/21/2023]
Abstract
The molecular mechanisms underlying mycorrhizal symbioses, the most ubiquitous and impactful mutualistic plant-microbial interaction in nature, are largely unknown. Through genetic mapping, resequencing and molecular validation, we demonstrate that a G-type lectin receptor-like kinase (lecRLK) mediates the symbiotic interaction between Populus and the ectomycorrhizal fungus Laccaria bicolor. This finding uncovers an important molecular step in the establishment of symbiotic plant-fungal associations and provides a molecular target for engineering beneficial mycorrhizal relationships.
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Affiliation(s)
- Jessy Labbé
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - Olaf Czarnecki
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Juan Wang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Xiaoping Wang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Anthony C Bryan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Kaijie Zheng
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Yongil Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Meng Xie
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jin Zhang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Dongfang Wang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Peter Meidl
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Hemeng Wang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - Kevin R Cope
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA
| | - Lucas G S Maia
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA
| | - Jean-Michel Ané
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Agronomy, University of Wisconsin-Madison, Madison, WI, USA
| | - Ritesh Mewalal
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Sara S Jawdy
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Lee E Gunter
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Wendy Schackwitz
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Joel Martin
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - François Le Tacon
- Institut National de la Recherche Agronomique et Université de Lorraine, Labex ARBRE, Champenoux, France
| | - Ting Li
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Zhihao Zhang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Priya Ranjan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Erika Lindquist
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Daniel A Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - Kerrie Barry
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Jeremy Schmutz
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jin-Gui Chen
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
| | - Gerald A Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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36
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Weighill D, Macaya-Sanz D, DiFazio SP, Joubert W, Shah M, Schmutz J, Sreedasyam A, Tuskan G, Jacobson D. Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation. Front Genet 2019; 10:487. [PMID: 31214244 PMCID: PMC6554479 DOI: 10.3389/fgene.2019.00487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/06/2019] [Indexed: 12/14/2022] Open
Abstract
Various ‘omics data types have been generated for Populus trichocarpa, each providing a layer of information which can be represented as a density signal across a chromosome. We make use of genome sequence data, variants data across a population as well as methylation data across 10 different tissues, combined with wavelet-based signal processing to perform a comprehensive analysis of the signature of the centromere in these different data signals, and successfully identify putative centromeric regions in P. trichocarpa from these signals. Furthermore, using SNP (single nucleotide polymorphism) correlations across a natural population of P. trichocarpa, we find evidence for the co-evolution of the centromeric histone CENH3 with the sequence of the newly identified centromeric regions, and identify a new CENH3 candidate in P. trichocarpa.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | | | - Wayne Joubert
- Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Manesh Shah
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Jeremy Schmutz
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States.,HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Gerald Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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37
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Weighill D, Jones P, Bleker C, Ranjan P, Shah M, Zhao N, Martin M, DiFazio S, Macaya-Sanz D, Schmutz J, Sreedasyam A, Tschaplinski T, Tuskan G, Jacobson D. Multi-Phenotype Association Decomposition: Unraveling Complex Gene-Phenotype Relationships. Front Genet 2019; 10:417. [PMID: 31134130 PMCID: PMC6522845 DOI: 10.3389/fgene.2019.00417] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 04/16/2019] [Indexed: 01/18/2023] Open
Abstract
Various patterns of multi-phenotype associations (MPAs) exist in the results of Genome Wide Association Studies (GWAS) involving different topologies of single nucleotide polymorphism (SNP)-phenotype associations. These can provide interesting information about the different impacts of a gene on closely related phenotypes or disparate phenotypes (pleiotropy). In this work we present MPA Decomposition, a new network-based approach which decomposes the results of a multi-phenotype GWAS study into three bipartite networks, which, when used together, unravel the multi-phenotype signatures of genes on a genome-wide scale. The decomposition involves the construction of a phenotype powerset space, and subsequent mapping of genes into this new space. Clustering of genes in this powerset space groups genes based on their detailed MPA signatures. We show that this method allows us to find multiple different MPA and pleiotropic signatures within individual genes and to classify and cluster genes based on these SNP-phenotype association topologies. We demonstrate the use of this approach on a GWAS analysis of a large population of 882 Populus trichocarpa genotypes using untargeted metabolomics phenotypes. This method should prove invaluable in the interpretation of large GWAS datasets and aid in future synthetic biology efforts designed to optimize phenotypes of interest.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Piet Jones
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Carissa Bleker
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Priya Ranjan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.,Department of Plant Sciences, The University of Tennessee Institute of Agriculture, University of Tennessee, Knoxville, TN, United States
| | - Manesh Shah
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Nan Zhao
- Department of Plant Sciences, The University of Tennessee Institute of Agriculture, University of Tennessee, Knoxville, TN, United States
| | - Madhavi Martin
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Stephen DiFazio
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Jeremy Schmutz
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States.,HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Timothy Tschaplinski
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Gerald Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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38
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Tuskan GA, Muchero W, Tschaplinski TJ, Ragauskas AJ. Population-level approaches reveal novel aspects of lignin biosynthesis, content, composition and structure. Curr Opin Biotechnol 2019; 56:250-257. [PMID: 30925430 DOI: 10.1016/j.copbio.2019.02.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 02/20/2019] [Accepted: 02/22/2019] [Indexed: 10/27/2022]
Abstract
Population-level studies enabled by high-throughput phenotyping have revealed significant variation in lignin characteristics including content, S:G:H ratio, inter-unit linkage distributions, and molecular weights across multiple plant species. Coupled with genome-wide association mapping studies (GWAS) targeted at linking genetic mutations to phenotype, significant progress has been made in associating putative causal mutations to variation in lignin characteristics. Despite this progress, there are few examples, in which these associations have been molecularly validated to provide new insights into the genetic regulation of lignin biosynthesis. Given a recent report of a GWAS-discovered 5-enolpyruvylshikimate-3-phosphate (EPSP) synthase moonlighting as a transcriptional regulator of lignin biosynthesis, the potential to bridge scientific disciplines in order to uncover hidden elements of lignin biosynthesis has been demonstrated, offering a path to alter lignin characteristics via genetic manipulation in order to expedite lignin valorization. To maximize this potential, however, there is a crucial need for (1) broader surveys of naturally varying diverse plant populations and (2) analytical platforms that can resolve subtle properties at fine chemical and biological scales.
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Affiliation(s)
- Gerald A Tuskan
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States.
| | - Wellington Muchero
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States
| | - Timothy J Tschaplinski
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States
| | - Arthur J Ragauskas
- Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States; University of Tennessee Governor's Chair, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States
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39
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Acosta JJ, Fahrenkrog AM, Neves LG, Resende MFR, Dervinis C, Davis JM, Holliday JA, Kirst M. Exome Resequencing Reveals Evolutionary History, Genomic Diversity, and Targets of Selection in the Conifers Pinus taeda and Pinus elliottii. Genome Biol Evol 2019; 11:508-520. [PMID: 30689841 PMCID: PMC6385631 DOI: 10.1093/gbe/evz016] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2019] [Indexed: 12/22/2022] Open
Abstract
Loblolly pine (Pinus taeda) and slash pine (Pinus elliottii) are ecologically and economically important pine species that dominate many forest ecosystems in the southern United States, but like all conifers, the study of their genetic diversity and demographic history has been hampered by their large genome size. A small number of studies mainly based on candidate-gene sequencing have been reported for P. taeda to date, whereas none are available for P. elliottii. Targeted exome resequencing has recently enabled population genomics studies for conifers, approach used here to assess genomic diversity, signatures of selection, population structure, and demographic history of P. elliottii and P. taeda. Extensive similarities were revealed between these species: both species feature rapid linkage disequilibrium decay and high levels of genetic diversity. Moreover, genome-wide positive correlations for measures of genetic diversity between the species were also observed, likely due to shared structural genomic constraints. Also, positive selection appears to be targeting a common set of genes in both pines. Demographic history differs between both species, with only P. taeda being affected by a dramatic bottleneck during the last glacial period. The ability of P. taeda to recover from a dramatic reduction in population size while still retaining high levels of genetic diversity shows promise for other pines facing environmental stressors associated with climate change, indicating that these too may be able to adapt successfully to new future conditions even after a drastic population size contraction.
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Affiliation(s)
- Juan J Acosta
- School of Forest Resources and Conservation, University of Florida.,University of Florida Genetics Institute, University of Florida.,Camcore, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC
| | - Annette M Fahrenkrog
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida
| | - Leandro G Neves
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida.,RAPiD Genomics, Gainesville, FL
| | | | | | - John M Davis
- School of Forest Resources and Conservation, University of Florida
| | - Jason A Holliday
- Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida.,University of Florida Genetics Institute, University of Florida
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40
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Shinde S, Zerbs S, Collart FR, Cumming JR, Noirot P, Larsen PE. Pseudomonas fluorescens increases mycorrhization and modulates expression of antifungal defense response genes in roots of aspen seedlings. BMC PLANT BIOLOGY 2019; 19:4. [PMID: 30606121 PMCID: PMC6318872 DOI: 10.1186/s12870-018-1610-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 12/20/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Plants, fungi, and bacteria form complex, mutually-beneficial communities within the soil environment. In return for photosynthetically derived sugars in the form of exudates from plant roots, the microbial symbionts in these rhizosphere communities provide their host plants access to otherwise inaccessible nutrients in soils and help defend the plant against biotic and abiotic stresses. One role that bacteria may play in these communities is that of Mycorrhizal Helper Bacteria (MHB). MHB are bacteria that facilitate the interactions between plant roots and symbiotic mycorrhizal fungi and, while the effects of MHB on the formation of plant-fungal symbiosis and on plant health have been well documented, the specific molecular mechanisms by which MHB drive gene regulation in plant roots leading to these benefits remain largely uncharacterized. RESULTS Here, we investigate the effects of the bacterium Pseudomonas fluorescens SBW25 (SBW25) on aspen root transcriptome using a tripartite laboratory community comprised of Populus tremuloides (aspen) seedlings and the ectomycorrhizal fungus Laccaria bicolor (Laccaria). We show that SBW25 has MHB activity and promotes mycorrhization of aspen roots by Laccaria. Using transcriptomic analysis of aspen roots under multiple community compositions, we identify clusters of co-regulated genes associated with mycorrhization, the presence of SBW25, and MHB-associated functions, and we generate a combinatorial logic network that links causal relationships in observed patterns of gene expression in aspen seedling roots in a single Boolean circuit diagram. The predicted regulatory circuit is used to infer regulatory mechanisms associated with MHB activity. CONCLUSIONS In our laboratory conditions, SBW25 increases the ability of Laccaria to form ectomycorrhizal interactions with aspen seedling roots through the suppression of aspen root antifungal defense responses. Analysis of transcriptomic data identifies that potential molecular mechanisms in aspen roots that respond to MHB activity are proteins with homology to pollen recognition sensors. Pollen recognition sensors integrate multiple environmental signals to down-regulate pollenization-associated gene clusters, making proteins with homology to this system an excellent fit for a predicted mechanism that integrates information from the rhizosphere to down-regulate antifungal defense response genes in the root. These results provide a deeper understanding of aspen gene regulation in response to MHB and suggest additional, hypothesis-driven biological experiments to validate putative molecular mechanisms of MHB activity in the aspen-Laccaria ectomycorrhizal symbiosis.
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Affiliation(s)
- Shalaka Shinde
- Argonne National Laboratory, Biosciences Division, 9700 S. Cass Ave., Argonne, IL 60439 USA
- Present address: Oil-Dri Innovation Center, 777 Forest Edge Rd., Vernon Hills, IL 60061 USA
| | - Sarah Zerbs
- Argonne National Laboratory, Biosciences Division, 9700 S. Cass Ave., Argonne, IL 60439 USA
| | - Frank R. Collart
- Argonne National Laboratory, Biosciences Division, 9700 S. Cass Ave., Argonne, IL 60439 USA
| | - Jonathan R. Cumming
- Department of Biology, West Virginia University, 53 Campus Dr, Morgantown, WV 26506 USA
| | - Philippe Noirot
- Argonne National Laboratory, Biosciences Division, 9700 S. Cass Ave., Argonne, IL 60439 USA
| | - Peter E. Larsen
- Argonne National Laboratory, Biosciences Division, 9700 S. Cass Ave., Argonne, IL 60439 USA
- Department of Bioengineering, University of Illinois at Chicago, 851 South Morgan St., Chicago, IL 60612 USA
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41
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Clifton‐Brown J, Harfouche A, Casler MD, Dylan Jones H, Macalpine WJ, Murphy‐Bokern D, Smart LB, Adler A, Ashman C, Awty‐Carroll D, Bastien C, Bopper S, Botnari V, Brancourt‐Hulmel M, Chen Z, Clark LV, Cosentino S, Dalton S, Davey C, Dolstra O, Donnison I, Flavell R, Greef J, Hanley S, Hastings A, Hertzberg M, Hsu T, Huang LS, Iurato A, Jensen E, Jin X, Jørgensen U, Kiesel A, Kim D, Liu J, McCalmont JP, McMahon BG, Mos M, Robson P, Sacks EJ, Sandu A, Scalici G, Schwarz K, Scordia D, Shafiei R, Shield I, Slavov G, Stanton BJ, Swaminathan K, Taylor G, Torres AF, Trindade LM, Tschaplinski T, Tuskan GA, Yamada T, Yeon Yu C, Zalesny RS, Zong J, Lewandowski I. Breeding progress and preparedness for mass-scale deployment of perennial lignocellulosic biomass crops switchgrass, miscanthus, willow and poplar. GLOBAL CHANGE BIOLOGY. BIOENERGY 2019; 11:118-151. [PMID: 30854028 PMCID: PMC6392185 DOI: 10.1111/gcbb.12566] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 07/18/2018] [Indexed: 05/07/2023]
Abstract
Genetic improvement through breeding is one of the key approaches to increasing biomass supply. This paper documents the breeding progress to date for four perennial biomass crops (PBCs) that have high output-input energy ratios: namely Panicum virgatum (switchgrass), species of the genera Miscanthus (miscanthus), Salix (willow) and Populus (poplar). For each crop, we report on the size of germplasm collections, the efforts to date to phenotype and genotype, the diversity available for breeding and on the scale of breeding work as indicated by number of attempted crosses. We also report on the development of faster and more precise breeding using molecular breeding techniques. Poplar is the model tree for genetic studies and is furthest ahead in terms of biological knowledge and genetic resources. Linkage maps, transgenesis and genome editing methods are now being used in commercially focused poplar breeding. These are in development in switchgrass, miscanthus and willow generating large genetic and phenotypic data sets requiring concomitant efforts in informatics to create summaries that can be accessed and used by practical breeders. Cultivars of switchgrass and miscanthus can be seed-based synthetic populations, semihybrids or clones. Willow and poplar cultivars are commercially deployed as clones. At local and regional level, the most advanced cultivars in each crop are at technology readiness levels which could be scaled to planting rates of thousands of hectares per year in about 5 years with existing commercial developers. Investment in further development of better cultivars is subject to current market failure and the long breeding cycles. We conclude that sustained public investment in breeding plays a key role in delivering future mass-scale deployment of PBCs.
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Affiliation(s)
- John Clifton‐Brown
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Antoine Harfouche
- Department for Innovation in Biological, Agrofood and Forest systemsUniversity of TusciaViterboItaly
| | | | - Huw Dylan Jones
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | | | - Lawrence B. Smart
- Horticulture Section, School of Integrative Plant ScienceCornell UniversityGenevaNew York
| | - Anneli Adler
- SweTree Technologies ABUmeåSweden
- Institute of Crop Production EcologySwedish University of Agricultural SciencesUppsalaSweden
| | - Chris Ashman
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Danny Awty‐Carroll
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | - Sebastian Bopper
- Department of Seed Science and Technology, Institute of Plant Breeding, Seed Science and Population GeneticsUniversity of HohenheimStuttgartGermany
| | - Vasile Botnari
- Institute of Genetics, Physiology and Plant Protection (IGFPP) of Academy of Sciences of MoldovaChisinauMoldova
| | | | - Zhiyong Chen
- Insitute of MiscanthusHunan Agricultural UniversityHunan ChangshaChina
| | - Lindsay V. Clark
- Department of Crop Sciences & Center for Advanced Bioenergy and Bioproducts Innovation, 279 Edward R Madigan LaboratoryUniversity of IllinoisUrbanaIllinois
| | - Salvatore Cosentino
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Sue Dalton
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Chris Davey
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Oene Dolstra
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Iain Donnison
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | - Joerg Greef
- Julius Kuhn‐Institut (JKI)Bundesforschungsinstitut fur KulturpflanzenBraunschweigGermany
| | | | - Astley Hastings
- Institute of Biological and Environmental ScienceUniversity of AberdeenAberdeenUK
| | | | - Tsai‐Wen Hsu
- Taiwan Endemic Species Research Institute (TESRI)Nantou CountyTaiwan
| | - Lin S. Huang
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Antonella Iurato
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Elaine Jensen
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Xiaoli Jin
- Department of Agronomy & The Key Laboratory of Crop Germplasm Resource of Zhejiang ProvinceZhejiang UniversityHangzhouChina
| | - Uffe Jørgensen
- Department of AgroecologyAarhus University Centre for Circular BioeconomyTjeleDenmark
| | - Andreas Kiesel
- Department of Biobased Products and Energy Crops, Institute of Crop ScienceUniversity of HohenheimStuttgartGermany
| | - Do‐Soon Kim
- Department of Plant Sciences, Research Institute of Agriculture & Life Sciences, CALSSeoul National UniversitySeoulKorea
| | - Jianxiu Liu
- Institute of BotanyJiangsu Province and Chinese Academy of SciencesNanjingChina
| | - Jon P. McCalmont
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Bernard G. McMahon
- Natural Resources Research InstituteUniversity of Minnesota – DuluthDuluthMinnesota
| | | | - Paul Robson
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Erik J. Sacks
- Department of Crop Sciences & Center for Advanced Bioenergy and Bioproducts Innovation, 279 Edward R Madigan LaboratoryUniversity of IllinoisUrbanaIllinois
| | - Anatolii Sandu
- Institute of Genetics, Physiology and Plant Protection (IGFPP) of Academy of Sciences of MoldovaChisinauMoldova
| | - Giovanni Scalici
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Kai Schwarz
- Julius Kuhn‐Institut (JKI)Bundesforschungsinstitut fur KulturpflanzenBraunschweigGermany
| | - Danilo Scordia
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Reza Shafiei
- James Hutton InstituteUniversity of DundeeDundeeUK
| | | | | | | | | | - Gail Taylor
- Biological SciencesUniversity of SouthamptonSouthamptonUK
| | - Andres F. Torres
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Luisa M. Trindade
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Timothy Tschaplinski
- The Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - Gerald A. Tuskan
- The Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - Toshihiko Yamada
- Field Science Centre for the Northern BiosphereHokkaido UniversitySapporoJapan
| | - Chang Yeon Yu
- College of Agriculture and Life Sciences 2Kangwon National UniversityChuncheonSouth Korea
| | | | - Junqin Zong
- Institute of BotanyJiangsu Province and Chinese Academy of SciencesNanjingChina
| | - Iris Lewandowski
- Department of Biobased Products and Energy Crops, Institute of Crop ScienceUniversity of HohenheimStuttgartGermany
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42
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Quan M, Du Q, Xiao L, Lu W, Wang L, Xie J, Song Y, Xu B, Zhang D. Genetic architecture underlying the lignin biosynthesis pathway involves noncoding RNAs and transcription factors for growth and wood properties in Populus. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:302-315. [PMID: 29947466 PMCID: PMC6330548 DOI: 10.1111/pbi.12978] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 06/20/2018] [Accepted: 06/24/2018] [Indexed: 05/18/2023]
Abstract
Lignin provides structural support in perennial woody plants and is a complex phenolic polymer derived from phenylpropanoid pathway. Lignin biosynthesis is regulated by coordinated networks involving transcription factors (TFs), microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). However, the genetic networks underlying the lignin biosynthesis pathway for tree growth and wood properties remain unknown. Here, we used association genetics (additive, dominant and epistasis) and expression quantitative trait nucleotide (eQTN) mapping to decipher the genetic networks for tree growth and wood properties in 435 unrelated individuals of Populus tomentosa. We detected 124 significant associations (P ≤ 6.89E-05) for 10 growth and wood property traits using 30 265 single nucleotide polymorphisms from 203 lignin biosynthetic genes, 81 TF genes, 36 miRNA genes and 71 lncRNA loci, implying their common roles in wood formation. Epistasis analysis uncovered 745 significant pairwise interactions, which helped to construct proposed genetic networks of lignin biosynthesis pathway and found that these regulators might affect phenotypes by linking two lignin biosynthetic genes. eQTNs were used to interpret how causal genes contributed to phenotypes. Lastly, we investigated the possible functions of the genes encoding 4-coumarate: CoA ligase and cinnamate-4-hydroxylase in wood traits using epistasis, eQTN mapping and enzymatic activity assays. Our study provides new insights into the lignin biosynthesis pathway in poplar and enables the novel genetic factors as biomarkers for facilitating genetic improvement of trees.
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Affiliation(s)
- Mingyang Quan
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Qingzhang Du
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Liang Xiao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Wenjie Lu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Longxin Wang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Jianbo Xie
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Yuepeng Song
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Baohua Xu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
| | - Deqiang Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing Forestry UniversityBeijingChina
- National Engineering Laboratory for Tree BreedingCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijingChina
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43
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Tuskan GA, Groover AT, Schmutz J, DiFazio SP, Myburg A, Grattapaglia D, Smart LB, Yin T, Aury JM, Kremer A, Leroy T, Le Provost G, Plomion C, Carlson JE, Randall J, Westbrook J, Grimwood J, Muchero W, Jacobson D, Michener JK. Hardwood Tree Genomics: Unlocking Woody Plant Biology. FRONTIERS IN PLANT SCIENCE 2018; 9:1799. [PMID: 30619389 PMCID: PMC6304363 DOI: 10.3389/fpls.2018.01799] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 11/19/2018] [Indexed: 05/07/2023]
Abstract
Woody perennial angiosperms (i.e., hardwood trees) are polyphyletic in origin and occur in most angiosperm orders. Despite their independent origins, hardwoods have shared physiological, anatomical, and life history traits distinct from their herbaceous relatives. New high-throughput DNA sequencing platforms have provided access to numerous woody plant genomes beyond the early reference genomes of Populus and Eucalyptus, references that now include willow and oak, with pecan and chestnut soon to follow. Genomic studies within these diverse and undomesticated species have successfully linked genes to ecological, physiological, and developmental traits directly. Moreover, comparative genomic approaches are providing insights into speciation events while large-scale DNA resequencing of native collections is identifying population-level genetic diversity responsible for variation in key woody plant biology across and within species. Current research is focused on developing genomic prediction models for breeding, defining speciation and local adaptation, detecting and characterizing somatic mutations, revealing the mechanisms of gender determination and flowering, and application of systems biology approaches to model complex regulatory networks underlying quantitative traits. Emerging technologies such as single-molecule, long-read sequencing is being employed as additional woody plant species, and genotypes within species, are sequenced, thus enabling a comparative ("evo-devo") approach to understanding the unique biology of large woody plants. Resource availability, current genomic and genetic applications, new discoveries and predicted future developments are illustrated and discussed for poplar, eucalyptus, willow, oak, chestnut, and pecan.
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Affiliation(s)
- Gerald A. Tuskan
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Andrew T. Groover
- Pacific Southwest Research Station, USDA Forest Service, Davis, CA, United States
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
- Joint Genome Institute, Walnut Creek, CA, United States
| | | | - Alexander Myburg
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Dario Grattapaglia
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Brazil
- Universidade Católica de Brasília, Brasília, Brazil
| | - Lawrence B. Smart
- Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY, United States
| | - Tongming Yin
- The Key Laboratory for Poplar Improvement of Jiangsu Province, Nanjing Forestry University, Nanjing, China
| | - Jean-Marc Aury
- Commissariat à l’Energie Atomique, Genoscope, Institut de Biologie François-Jacob, Evry, France
| | | | - Thibault Leroy
- BIOGECO, INRA, Université de Bordeaux, Cestas, France
- ISEM, CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
| | | | | | - John E. Carlson
- Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA, United States
| | - Jennifer Randall
- Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, NM, United States
| | - Jared Westbrook
- The American Chestnut Foundation, Asheville, NC, United States
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Wellington Muchero
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Daniel Jacobson
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Joshua K. Michener
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
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44
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Rogier O, Chateigner A, Amanzougarene S, Lesage-Descauses MC, Balzergue S, Brunaud V, Caius J, Soubigou-Taconnat L, Jorge V, Segura V. Accuracy of RNAseq based SNP discovery and genotyping in Populusnigra. BMC Genomics 2018; 19:909. [PMID: 30541448 PMCID: PMC6291945 DOI: 10.1186/s12864-018-5239-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 11/09/2018] [Indexed: 12/30/2022] Open
Abstract
Backgroud Populus nigra is a major tree species of ecological and economic importance for which several initiatives have been set up to create genomic resources. In order to access the large number of Single Nucleotide Polymorphisms (SNPs) typically needed to carry out a genome scan, the present study aimed at evaluating RNA sequencing as a tool to discover and type SNPs in genes within natural populations of P. nigra. Results We have devised a bioinformatics pipeline to call and type SNPs from RNAseq reads and applied it to P. nigra transcriptomic data. The accuracy of the resulting RNAseq-based SNP calling and typing has been evaluated by (i) comparing their position and alleles to those previously reported in candidate genes, (ii) assessing their genotyping accuracy with respect to a previously available SNP chip and (iii) evaluating their inter-annual repeatability. We found that a combination of several callers yields a good compromise between the number of variants type and the accuracy of genotyping. We further used the resulting genotypic data to carry out basic genetic analyses whose results confirm the quality of the RNAseq-based SNP dataset. Conclusions We demonstrated the potential and accuracy of RNAseq as an efficient way to genotype SNPs in P. nigra. These results open prospects towards the use of this technology for quantitative and population genomics studies. Electronic supplementary material The online version of this article (10.1186/s12864-018-5239-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | - Sandrine Balzergue
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Université Paris-Saclay, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Orsay, 91405, France.,IRHS, INRA, Agrocampus-Ouest, Université d'Angers, SFR 4207 QUASAV, Beaucouzé, 49071, France
| | - Véronique Brunaud
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Université Paris-Saclay, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Orsay, 91405, France
| | - José Caius
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Université Paris-Saclay, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Orsay, 91405, France
| | - Ludivine Soubigou-Taconnat
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Université Paris-Saclay, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Orsay, 91405, France
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45
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Association mapping, transcriptomics, and transient expression identify candidate genes mediating plant-pathogen interactions in a tree. Proc Natl Acad Sci U S A 2018; 115:11573-11578. [PMID: 30337484 PMCID: PMC6233113 DOI: 10.1073/pnas.1804428115] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
International trade has resulted in the introduction of plant diseases into natural ecosystems around the world. These introductions have potentially catastrophic impacts on ecosystem structure and function. Leveraging genomic tools, natural variation within a tree species, and a high-throughput phenotyping platform, we present a framework that can be broadly applied to rapidly identify candidate genes associated with resistance and susceptibility to introduced plant diseases. The unprecedented speed and accuracy with which the candidate genes can be identified in woody trees demonstrates the potential of genomics to mitigate the impacts of invasive diseases on forest health. Invasive microbes causing diseases such as sudden oak death negatively affect ecosystems and economies around the world. The deployment of resistant genotypes for combating introduced diseases typically relies on breeding programs that can take decades to complete. To demonstrate how this process can be accelerated, we employed a genome-wide association mapping of ca. 1,000 resequenced Populus trichocarpa trees individually challenged with Sphaerulina musiva, an invasive fungal pathogen. Among significant associations, three loci associated with resistance were identified and predicted to encode one putative membrane-bound L-type receptor-like kinase and two receptor-like proteins. A susceptibility-associated locus was predicted to encode a putative G-type D-mannose–binding receptor-like kinase. Multiple lines of evidence, including allele analysis, transcriptomics, binding assays, and overexpression, support the hypothesized function of these candidate genes in the P. trichocarpa response to S. musiva.
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46
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Bradburd GS, Coop GM, Ralph PL. Inferring Continuous and Discrete Population Genetic Structure Across Space. Genetics 2018; 210:33-52. [PMID: 30026187 PMCID: PMC6116973 DOI: 10.1534/genetics.118.301333] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 07/16/2018] [Indexed: 11/23/2022] Open
Abstract
A classic problem in population genetics is the characterization of discrete population structure in the presence of continuous patterns of genetic differentiation. Especially when sampling is discontinuous, the use of clustering or assignment methods may incorrectly ascribe differentiation due to continuous processes (e.g., geographic isolation by distance) to discrete processes, such as geographic, ecological, or reproductive barriers between populations. This reflects a shortcoming of current methods for inferring and visualizing population structure when applied to genetic data deriving from geographically distributed populations. Here, we present a statistical framework for the simultaneous inference of continuous and discrete patterns of population structure. The method estimates ancestry proportions for each sample from a set of two-dimensional population layers, and, within each layer, estimates a rate at which relatedness decays with distance. This thereby explicitly addresses the "clines versus clusters" problem in modeling population genetic variation, and remedies some of the overfitting to which nonspatial models are prone. The method produces useful descriptions of structure in genetic relatedness in situations where separated, geographically distributed populations interact, as after a range expansion or secondary contact. We demonstrate the utility of this approach using simulations and by applying it to empirical datasets of poplars and black bears in North America.
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Affiliation(s)
- Gideon S Bradburd
- Ecology, Evolutionary Biology, and Behavior Graduate Group, Department of Integrative Biology, Michigan State University, East Lansing, Michigan 48824
| | - Graham M Coop
- Center for Population Biology, Department of Evolution and Ecology, University of California, Davis, California 95616
| | - Peter L Ralph
- Institute of Ecology and Evolution, Departments of Mathematics and Biology, University of Oregon, Eugene, Oregon 97403
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47
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Tuskan GA, Mewalal R, Gunter LE, Palla KJ, Carter K, Jacobson DA, Jones PC, Garcia BJ, Weighill DA, Hyatt PD, Yang Y, Zhang J, Reis N, Chen JG, Muchero W. Defining the genetic components of callus formation: A GWAS approach. PLoS One 2018; 13:e0202519. [PMID: 30118526 PMCID: PMC6097687 DOI: 10.1371/journal.pone.0202519] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 08/03/2018] [Indexed: 12/26/2022] Open
Abstract
A characteristic feature of plant cells is the ability to form callus from parenchyma cells in response to biotic and abiotic stimuli. Tissue culture propagation of recalcitrant plant species and genetic engineering for desired phenotypes typically depends on efficient in vitro callus generation. Callus formation is under genetic regulation, and consequently, a molecular understanding of this process underlies successful generation for propagation materials and/or introduction of genetic elements in experimental or industrial applications. Herein, we identified 11 genetic loci significantly associated with callus formation in Populus trichocarpa using a genome-wide association study (GWAS) approach. Eight of the 11 significant gene associations were consistent across biological replications, exceeding a chromosome-wide-log10 (p) = 4.46 [p = 3.47E-05] Bonferroni-adjusted significance threshold. These eight genes were used as hub genes in a high-resolution co-expression network analysis to gain insight into the genome-wide basis of callus formation. A network of positively and negatively co-expressed genes, including several transcription factors, was identified. As proof-of-principle, a transient protoplast assay confirmed the negative regulation of a Chloroplast Nucleoid DNA-binding-related gene (Potri.018G014800) by the LEC2 transcription factor. Many of the candidate genes and co-expressed genes were 1) linked to cell division and cell cycling in plants and 2) showed homology to tumor and cancer-related genes in humans. The GWAS approach based on a high-resolution marker set, and the ability to manipulate targets genes in vitro, provided a catalog of high-confidence genes linked to callus formation that can serve as an important resource for successful manipulation of model and non-model plant species, and likewise, suggests a robust method of discovering common homologous functions across organisms.
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Affiliation(s)
- Gerald A Tuskan
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Ritesh Mewalal
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, United States of America
| | - Lee E Gunter
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Kaitlin J Palla
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Kelsey Carter
- School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, United States of America
| | - Daniel A Jacobson
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Piet C Jones
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America.,Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Benjamin J Garcia
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Deborah A Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, United States of America.,Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Philip D Hyatt
- Computational Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Yongil Yang
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Jin Zhang
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Nicholas Reis
- Oak Ridge Associated Universities, Oak Ridge, Tennessee, United States of America
| | - Jin-Gui Chen
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
| | - Wellington Muchero
- Plant Systems Biology Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
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48
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Suarez-Gonzalez A, Hefer CA, Lexer C, Cronk QCB, Douglas CJ. Scale and direction of adaptive introgression between black cottonwood (Populus trichocarpa) and balsam poplar (P. balsamifera). Mol Ecol 2018; 27:1667-1680. [DOI: 10.1111/mec.14561] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 02/17/2018] [Accepted: 02/23/2018] [Indexed: 12/31/2022]
Affiliation(s)
| | - Charles A. Hefer
- Department of Botany; University of British Columbia; Vancouver BC Canada
| | - Christian Lexer
- Department of Botany and Biodiversity Research; University of Vienna; Vienna Austria
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49
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LaBonte NR, Zhao P, Woeste K. Signatures of Selection in the Genomes of Chinese Chestnut ( Castanea mollissima Blume): The Roots of Nut Tree Domestication. FRONTIERS IN PLANT SCIENCE 2018; 9:810. [PMID: 29988533 PMCID: PMC6026767 DOI: 10.3389/fpls.2018.00810] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 05/25/2018] [Indexed: 05/18/2023]
Abstract
Chestnuts (Castanea) are major nut crops in East Asia and southern Europe, and are unique among temperate nut crops in that the harvested seeds are starchy rather than oily. Chestnut species have been cultivated for three millennia or more in China, so it is likely that artificial selection has affected the genome of orchard-grown chestnuts. The genetics of Chinese chestnut (Castanea mollissima Blume) domestication are also of interest to breeders of hybrid American chestnut, especially if the low-growing, branching habit of Chinese chestnut, an impediment to American chestnut restoration, is partly the result of artificial selection. We resequenced genomes of wild and orchard-derived Chinese chestnuts and identified selective sweeps based on pooled whole-genome SNP datasets. We present candidate gene loci for chestnut domestication and discuss the potential phenotypic effects of candidate loci, some of which may be useful genes for chestnut improvement in Asia and North America. Selective sweeps included predicted genes potentially related to flower phenology and development, fruit maturation, and secondary metabolism, and included some genes homologous to domestication candidates in other woody plants.
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Affiliation(s)
- Nicholas R. LaBonte
- Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States
- *Correspondence: Nicholas R. LaBonte
| | - Peng Zhao
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China
| | - Keith Woeste
- Hardwood Tree Improvement and Regeneration Center, Northern Research Station, USDA Forest Service, West Lafayette, IN, United States
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50
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Copetti D, Búrquez A, Bustamante E, Charboneau JLM, Childs KL, Eguiarte LE, Lee S, Liu TL, McMahon MM, Whiteman NK, Wing RA, Wojciechowski MF, Sanderson MJ. Extensive gene tree discordance and hemiplasy shaped the genomes of North American columnar cacti. Proc Natl Acad Sci U S A 2017; 114:12003-12008. [PMID: 29078296 PMCID: PMC5692538 DOI: 10.1073/pnas.1706367114] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Few clades of plants have proven as difficult to classify as cacti. One explanation may be an unusually high level of convergent and parallel evolution (homoplasy). To evaluate support for this phylogenetic hypothesis at the molecular level, we sequenced the genomes of four cacti in the especially problematic tribe Pachycereeae, which contains most of the large columnar cacti of Mexico and adjacent areas, including the iconic saguaro cactus (Carnegiea gigantea) of the Sonoran Desert. We assembled a high-coverage draft genome for saguaro and lower coverage genomes for three other genera of tribe Pachycereeae (Pachycereus, Lophocereus, and Stenocereus) and a more distant outgroup cactus, Pereskia We used these to construct 4,436 orthologous gene alignments. Species tree inference consistently returned the same phylogeny, but gene tree discordance was high: 37% of gene trees having at least 90% bootstrap support conflicted with the species tree. Evidently, discordance is a product of long generation times and moderately large effective population sizes, leading to extensive incomplete lineage sorting (ILS). In the best supported gene trees, 58% of apparent homoplasy at amino sites in the species tree is due to gene tree-species tree discordance rather than parallel substitutions in the gene trees themselves, a phenomenon termed "hemiplasy." The high rate of genomic hemiplasy may contribute to apparent parallelisms in phenotypic traits, which could confound understanding of species relationships and character evolution in cacti.
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Affiliation(s)
- Dario Copetti
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721
- International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Alberto Búrquez
- Instituto de Ecología, Unidad Hermosillo, Universidad Nacional Autónoma de México, Hermosillo, Sonora, Mexico
| | - Enriquena Bustamante
- Instituto de Ecología, Unidad Hermosillo, Universidad Nacional Autónoma de México, Hermosillo, Sonora, Mexico
| | - Joseph L M Charboneau
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721
| | - Kevin L Childs
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824
| | - Luis E Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Seunghee Lee
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721
| | - Tiffany L Liu
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824
| | | | - Noah K Whiteman
- Department of Integrative Biology, University of California, Berkeley, CA 94720
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721
- International Rice Research Institute, Los Baños, Laguna, Philippines
| | | | - Michael J Sanderson
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721;
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