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Rey MD, Castillejo MÁ, Sánchez-Lucas R, Guerrero-Sanchez VM, López-Hidalgo C, Romero-Rodríguez C, Valero-Galván J, Sghaier-Hammami B, Simova-Stoilova L, Echevarría-Zomeño S, Jorge I, Gómez-Gálvez I, Papa ME, Carvalho K, Rodríguez de Francisco LE, Maldonado-Alconada AM, Valledor L, Jorrín-Novo JV. Proteomics, Holm Oak ( Quercus ilex L.) and Other Recalcitrant and Orphan Forest Tree Species: How do They See Each Other? Int J Mol Sci 2019; 20:ijms20030692. [PMID: 30736277 PMCID: PMC6386906 DOI: 10.3390/ijms20030692] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 01/28/2019] [Accepted: 01/30/2019] [Indexed: 02/07/2023] Open
Abstract
Proteomics has had a big impact on plant biology, considered as a valuable tool for several forest species, such as Quercus, Pines, Poplars, and Eucalyptus. This review assesses the potential and limitations of the proteomics approaches and is focused on Quercus ilex as a model species and other forest tree species. Proteomics has been used with Q. ilex since 2003 with the main aim of examining natural variability, developmental processes, and responses to biotic and abiotic stresses as in other species of the genus Quercus or Pinus. As with the progress in techniques in proteomics in other plant species, the research in Q. ilex moved from 2-DE based strategy to the latest gel-free shotgun workflows. Experimental design, protein extraction, mass spectrometric analysis, confidence levels of qualitative and quantitative proteomics data, and their interpretation are a true challenge with relation to forest tree species due to their extreme orphan and recalcitrant (non-orthodox) nature. Implementing a systems biology approach, it is time to validate proteomics data using complementary techniques and integrate it with the -omics and classical approaches. The full potential of the protein field in plant research is quite far from being entirely exploited. However, despite the methodological limitations present in proteomics, there is no doubt that this discipline has contributed to deeper knowledge of plant biology and, currently, is increasingly employed for translational purposes.
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Affiliation(s)
- María-Dolores Rey
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - María Ángeles Castillejo
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Rosa Sánchez-Lucas
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Victor M Guerrero-Sanchez
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Cristina López-Hidalgo
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Cristina Romero-Rodríguez
- Departamento de Fitoquímica, Dirección de Investigación de la Facultad de Ciencias Químicas de la Universidad Nacional de Asunción, Asunción 1001-1925, Paraguay.
| | - José Valero-Galván
- Department of Chemical and Biological Science, Biomedicine Science Institute, Autonomous University of Ciudad Juárez, Anillo Envolvente del Pronaf y Estocolmo s/n, Ciudad Juarez 32310, Mexico.
| | - Besma Sghaier-Hammami
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Lyudmila Simova-Stoilova
- Plant Molecular Biology Department, Institute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl 21, 1113 Sofia, Bulgaria.
| | - Sira Echevarría-Zomeño
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Inmaculada Jorge
- Department of Vascular Biology and Inflammation (BVI), Spanish National Centre for Cardiovascular Research, Melchor Fernández Almagro 3, 28029 Madrid, Spain.
| | - Isabel Gómez-Gálvez
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - María Eugenia Papa
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Kamilla Carvalho
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | | | - Ana María Maldonado-Alconada
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
| | - Luis Valledor
- Department of Organisms and Systems Biology and University Institute of Biotechnology (IUBA), University of Oviedo, Santiago Gascón Building, 2nd Floor (Office 2.9), 33006 Oviedo, Spain.
| | - Jesús V Jorrín-Novo
- Department of Biochemistry and Molecular Biology, Agrifood Campus of International Excellence, University of Cordoba, Carretera Nacional IV, km 396, 14014 Córdoba, Spain.
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Kuzmin DA, Feranchuk SI, Sharov VV, Cybin AN, Makolov SV, Putintseva YA, Oreshkova NV, Krutovsky KV. Stepwise large genome assembly approach: a case of Siberian larch (Larix sibirica Ledeb). BMC Bioinformatics 2019; 20:37. [PMID: 30717661 PMCID: PMC6362582 DOI: 10.1186/s12859-018-2570-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background De novo assembling of large genomes, such as in conifers (~ 12–30 Gbp), which also consist of ~ 80% of repetitive DNA, is a very complex and computationally intense endeavor. One of the main problems in assembling such genomes lays in computing limitations of nucleotide sequence assembly programs (DNA assemblers). As a rule, modern assemblers are usually designed to assemble genomes with a length not exceeding the length of the human genome (3.24 Gbp). Most assemblers cannot handle the amount of input sequence data required to provide sufficient coverage needed for a high-quality assembly. Results An original stepwise method of de novo assembly by parts (sets), which allows to bypass the limitations of modern assemblers associated with a huge amount of data being processed, is presented in this paper. The results of numerical assembling experiments conducted using the model plant Arabidopsis thaliana, Prunus persica (peach) and four most popular assemblers, ABySS, SOAPdenovo, SPAdes, and CLC Assembly Cell, showed the validity and effectiveness of the proposed stepwise assembling method. Conclusion Using the new stepwise de novo assembling method presented in the paper, the genome of Siberian larch, Larix sibirica Ledeb. (12.34 Gbp) was completely assembled de novo by the CLC Assembly Cell assembler. It is the first genome assembly for larch species in addition to only five other conifer genomes sequenced and assembled for Picea abies, Picea glauca, Pinus taeda, Pinus lambertiana, and Pseudotsuga menziesii var. menziesii. Electronic supplementary material The online version of this article (10.1186/s12859-018-2570-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dmitry A Kuzmin
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Sergey I Feranchuk
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Department of Informatics, National Research Technical University, 664074, Irkutsk, Russia.,Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033, Irkutsk, Russia
| | - Vadim V Sharov
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Alexander N Cybin
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Stepan V Makolov
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia
| | - Natalya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia.,Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036, Krasnoyarsk, Russia
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russia. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany. .,Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia. .,Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA.
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53
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Casola C, Lawing AM. The nonrandom evolution of gene families. AMERICAN JOURNAL OF BOTANY 2019; 106:14-17. [PMID: 30597524 DOI: 10.1002/ajb2.1211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 09/11/2018] [Indexed: 06/09/2023]
Affiliation(s)
- Claudio Casola
- Department of Ecosystem Science and Management, College of Agriculture and Life Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - A Michelle Lawing
- Department of Ecosystem Science and Management, College of Agriculture and Life Sciences, Texas A&M University, College Station, TX, 77843, USA
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Kim HT, Kim KJ. Evolution of six novel ORFs in the plastome of Mankyua chejuense and phylogeny of eusporangiate ferns. Sci Rep 2018; 8:16466. [PMID: 30405200 PMCID: PMC6220310 DOI: 10.1038/s41598-018-34825-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/26/2018] [Indexed: 11/17/2022] Open
Abstract
In this paper, three plastomes of Mankyua chejuense, Helminthostachys zeylanica, and Botrychium ternatum in Ophioglossaceae were completely sequenced in order to investigate the plastome evolution and phylogeny of eusporangiate ferns. They were similar to each other in terms of length and the gene orders; however, six unknown open reading frames (ORFs) were found between rps4 and trnL-UAA genes in M. chejuense. Similar sequence regions of six ORFs of M. chejuense were found at the plastomes of Ophioglossum californicum and H. zeylanica, as well as the mitochondrial genome (mitogenome) of H. zeylanica, but not in B. ternatum. Interestingly, the translated amino acid sequences of three ORFs were more similar to the proteins of distantly related taxa such as algae and bacteria than they were to proteins in land plants. It is likely that the six ORFs region arose from endosymbiotic gene transfer (EGT) or horizontal gene transfer (HGT), but further study is needed to verify this. Phylogenetic analyses suggested that Mankyua was resolved as the earliest diverging lineage and that Ophioglossum was subsequently diverged in Ophioglossaceae. This result supports why the plastome of M. chejuense have contained the most ancestral six ORFs in the family.
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Affiliation(s)
- Hyoung Tae Kim
- Division of Life Sciences, School of Life Sciences, Korea University, Seoul, 02841, Korea
- Institute of Agricultural Science and Technology, Chungbuk National University, Chengju, 41566, Korea
| | - Ki-Joong Kim
- Division of Life Sciences, School of Life Sciences, Korea University, Seoul, 02841, Korea.
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55
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Dvorak J, Wang L, Zhu T, Jorgensen CM, Deal KR, Dai X, Dawson MW, Müller HG, Luo MC, Ramasamy RK, Dehghani H, Gu YQ, Gill BS, Distelfeld A, Devos KM, Qi P, You FM, Gulick PJ, McGuire PE. Structural variation and rates of genome evolution in the grass family seen through comparison of sequences of genomes greatly differing in size. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 95:487-503. [PMID: 29770515 DOI: 10.1111/tpj.13964] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Revised: 05/04/2018] [Accepted: 05/08/2018] [Indexed: 05/05/2023]
Abstract
Homology was searched with genes annotated in the Aegilops tauschii pseudomolecules against genes annotated in the pseudomolecules of tetraploid wild emmer wheat, Brachypodium distachyon, sorghum and rice. Similar searches were performed with genes annotated in the rice pseudomolecules. Matrices of collinear genes and rearrangements in their order were constructed. Optical BioNano genome maps were constructed and used to validate rearrangements unique to the wild emmer and Ae. tauschii genomes. Most common rearrangements were short paracentric inversions and short intrachromosomal translocations. Intrachromosomal translocations outnumbered segmental intrachromosomal duplications. The densities of paracentric inversion lengths were approximated by exponential distributions in all six genomes. Densities of collinear genes along the Ae. tauschii chromosomes were highly correlated with meiotic recombination rates but those of rearrangements were not, suggesting different causes of the erosion of gene collinearity and evolution of major chromosome rearrangements. Frequent rearrangements sharing breakpoints suggested that chromosomes have been rearranged recurrently at some sites. The distal 4 Mb of the short arms of rice chromosomes Os11 and Os12 and corresponding regions in the sorghum, B. distachyon and Triticeae genomes contain clusters of interstitial translocations including from 1 to 7 collinear genes. The rates of acquisition of major rearrangements were greater in the large wild emmer wheat and Ae. tauschii genomes than in the lineage preceding their divergence or in the B. distachyon, rice and sorghum lineages. It is suggested that synergy between large quantities of dynamic transposable elements and annual growth habit have been the primary causes of the fast evolution of the Triticeae genomes.
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Affiliation(s)
- Jan Dvorak
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Le Wang
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Tingting Zhu
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Chad M Jorgensen
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Karin R Deal
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Xiongtao Dai
- Department of Statistics, University of California, Davis, CA, USA
| | - Matthew W Dawson
- Department of Statistics, University of California, Davis, CA, USA
| | | | - Ming-Cheng Luo
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Ramesh K Ramasamy
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Hamid Dehghani
- Department of Plant Sciences, University of California, Davis, CA, USA
- Department of Plant Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
| | - Yong Q Gu
- Crop Improvement & Genetics Research, USDA-ARS, Albany, CA, USA
| | - Bikram S Gill
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Assaf Distelfeld
- School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel
| | - Katrien M Devos
- Institute of Plant Breeding, Genetics and Genomics (Department of Crop & Soil Sciences), University of Georgia, Athens, GA, USA
- Department of Plant Biology, University of Georgia, Athens, GA, USA
| | - Peng Qi
- Institute of Plant Breeding, Genetics and Genomics (Department of Crop & Soil Sciences), University of Georgia, Athens, GA, USA
- Department of Plant Biology, University of Georgia, Athens, GA, USA
| | - Frank M You
- Agriculture & Agri-Food Canada, Morden, MB, Canada
| | - Patrick J Gulick
- Department of Biology, Concordia University, Montreal, QC, Canada
| | - Patrick E McGuire
- Department of Plant Sciences, University of California, Davis, CA, USA
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56
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Olsson S, Pinosio S, González-Martínez SC, Abascal F, Mayol M, Grivet D, Vendramin GG. De novo assembly of English yew (Taxus baccata) transcriptome and its applications for intra- and inter-specific analyses. PLANT MOLECULAR BIOLOGY 2018; 97:337-345. [PMID: 29850988 DOI: 10.1007/s11103-018-0742-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/25/2018] [Indexed: 06/08/2023]
Abstract
We provide novel genomic resources for Taxus baccata in the form of a reference transcriptome, SSR and SNP markers, and orthologous single-copy genes, useful for phylogenomic and population genomic applications. English yew (T. baccata) is the only European representative of the Taxaceae family, a conifer group originated in the Jurassic period. The wide extent of environmental heterogeneity within the species' range, together with its long presence in Europe, make English yew an ideal species to investigate adaptive evolution in conifers. To enlarge the genomic resources available for this species, we used Illumina short read sequencing followed by de novo assembly to build the transcriptome of English yew. In addition to a fully annotated transcriptome as well as large sets of new potential SSR and SNP markers for T. baccata, we provide a data set of orthologous single-copy genes across three Taxus species using Picea sitchensis as outgroup, and discuss ortholog uses and limitations for phylogenomic and population genomic applications.
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Affiliation(s)
- Sanna Olsson
- Department of Forest Ecology and Genetics, Forest Research Centre, INIA-CIFOR, Carretera de la Coruña km 7.5, 28040, Madrid, Spain
| | - Sara Pinosio
- Istituto di Genomica Applicata (IGA), Via J. Linussio, 51, 33100, Udine, Italy
- Division of Florence, Institute of Biosciences and Bioresources, National Research Council, 50019, Sesto Fiorentino, FI, Italy
| | - Santiago C González-Martínez
- UMR BIOGECO, INRA, University of Bordeaux, Cestas, France
- Sustainable Forest Management Research Institute, INIA - University of Valladolid, Avda. Madrid 44, 34004, Palencia, Spain
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
| | - Federico Abascal
- Human Genetics Department, Sandhu Group, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Maria Mayol
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
| | - Delphine Grivet
- Department of Forest Ecology and Genetics, Forest Research Centre, INIA-CIFOR, Carretera de la Coruña km 7.5, 28040, Madrid, Spain.
- Sustainable Forest Management Research Institute, INIA - University of Valladolid, Avda. Madrid 44, 34004, Palencia, Spain.
| | - Giovanni G Vendramin
- Division of Florence, Institute of Biosciences and Bioresources, National Research Council, 50019, Sesto Fiorentino, FI, Italy
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Casola C, Koralewski TE. Pinaceae show elevated rates of gene turnover that are robust to incomplete gene annotation. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 95:862-876. [PMID: 29901849 DOI: 10.1111/tpj.13994] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 05/22/2018] [Accepted: 05/29/2018] [Indexed: 06/08/2023]
Abstract
Gene duplications and gene losses are major determinants of genome evolution and phenotypic diversity. The frequency of gene turnover (gene gains and gene losses combined) is known to vary between organisms. Comparative genomic analyses of gene families can highlight such variation; however, estimates of gene turnover may be biased when using highly fragmented genome assemblies resulting in poor gene annotations. Here, we address potential biases introduced by gene annotation errors in estimates of gene turnover frequencies in a dataset including both well-annotated angiosperm genomes and the incomplete gene sets of four Pinaceae, including two pine species, Norway spruce and Douglas-fir. We show that Pinaceae experienced higher gene turnover rates than angiosperm lineages lacking recent whole-genome duplications. This finding is robust to both known major issues in Pinaceae gene sets: missing gene models and erroneous annotation of pseudogenes. A separate analysis limited to the four Pinaceae gene sets pointed to an accelerated gene turnover rate in pines compared with Norway spruce and Douglas-fir. Our results indicate that gene turnover significantly contributes to genome variation and possibly to speciation in Pinaceae, particularly in pines. Moreover, these findings indicate that reliable estimates of gene turnover frequencies can be discerned in incomplete and potentially inaccurate gene sets. Because gymnosperms are known to exhibit low overall substitution rates compared with angiosperms, our results suggest that the rate of single-base pair mutations is uncoupled from the rate of large DNA duplications and deletions associated with gene turnover in Pinaceae.
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Affiliation(s)
- Claudio Casola
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA
| | - Tomasz E Koralewski
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA
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Thistlethwaite FR, Ratcliffe B, Klápště J, Porth I, Chen C, Stoehr MU, El-Kassaby YA. Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform. BMC Genomics 2017; 18:930. [PMID: 29197325 PMCID: PMC5712148 DOI: 10.1186/s12864-017-4258-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/01/2017] [Indexed: 11/11/2022] Open
Abstract
Background Genomic selection (GS) can offer unprecedented gains, in terms of cost efficiency and generation turnover, to forest tree selective breeding; especially for late expressing and low heritability traits. Here, we used: 1) exome capture as a genotyping platform for 1372 Douglas-fir trees representing 37 full-sib families growing on three sites in British Columbia, Canada and 2) height growth and wood density (EBVs), and deregressed estimated breeding values (DEBVs) as phenotypes. Representing models with (EBVs) and without (DEBVs) pedigree structure. Ridge regression best linear unbiased predictor (RR-BLUP) and generalized ridge regression (GRR) were used to assess their predictive accuracies over space (within site, cross-sites, multi-site, and multi-site to single site) and time (age-age/ trait-trait). Results The RR-BLUP and GRR models produced similar predictive accuracies across the studied traits. Within-site GS prediction accuracies with models trained on EBVs were high (RR-BLUP: 0.79–0.91 and GRR: 0.80–0.91), and were generally similar to the multi-site (RR-BLUP: 0.83–0.91, GRR: 0.83–0.91) and multi-site to single-site predictive accuracies (RR-BLUP: 0.79–0.92, GRR: 0.79–0.92). Cross-site predictions were surprisingly high, with predictive accuracies within a similar range (RR-BLUP: 0.79–0.92, GRR: 0.78–0.91). Height at 12 years was deemed the earliest acceptable age at which accurate predictions can be made concerning future height (age-age) and wood density (trait-trait). Using DEBVs reduced the accuracies of all cross-validation procedures dramatically, indicating that the models were tracking pedigree (family means), rather than marker-QTL LD. Conclusions While GS models’ prediction accuracies were high, the main driving force was the pedigree tracking rather than LD. It is likely that many more markers are needed to increase the chance of capturing the LD between causal genes and markers.
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Affiliation(s)
- Frances R Thistlethwaite
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Blaise Ratcliffe
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Jaroslav Klápště
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.,Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Whakarewarewa, Rotorua, 3046, New Zealand.,Department of Genetics and Physiology of Forest Trees, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamycka 129, 165 21, Praha 6, Czech Republic
| | - Ilga Porth
- Département des sciences du bois et de la forêt, Université Laval, QC, Québec, G1V 0A6, Canada
| | - Charles Chen
- Department of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK, 74078-3035, USA
| | - Michael U Stoehr
- British Columbia Ministry of Forests, Lands and Natural Resource Operations, Victoria, BC, V8W 9C2, Canada
| | - Yousry A El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
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Cronn R, Dolan PC, Jogdeo S, Wegrzyn JL, Neale DB, St Clair JB, Denver DR. Transcription through the eye of a needle: daily and annual cyclic gene expression variation in Douglas-fir needles. BMC Genomics 2017; 18:558. [PMID: 28738815 PMCID: PMC5525293 DOI: 10.1186/s12864-017-3916-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 06/30/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Perennial growth in plants is the product of interdependent cycles of daily and annual stimuli that induce cycles of growth and dormancy. In conifers, needles are the key perennial organ that integrates daily and seasonal signals from light, temperature, and water availability. To understand the relationship between seasonal cycles and seasonal gene expression responses in conifers, we examined diurnal and circannual needle mRNA accumulation in Douglas-fir (Pseudotsuga menziesii) needles at diurnal and circannual scales. Using mRNA sequencing, we sampled 6.1 × 109 reads from 19 trees and constructed a de novo pan-transcriptome reference that includes 173,882 tree-derived transcripts. Using this reference, we mapped RNA-Seq reads from 179 samples that capture daily and annual variation. RESULTS We identified 12,042 diurnally-cyclic transcripts, 9299 of which showed homology to annotated genes from other plant genomes, including angiosperm core clock genes. Annual analysis revealed 21,225 circannual transcripts, 17,335 of which showed homology to annotated genes from other plant genomes. The timing of maximum gene expression is associated with light intensity at diurnal scales and photoperiod at annual scales, with approximately half of transcripts reaching maximum expression +/- 2 h from sunrise and sunset, and +/- 20 days from winter and summer solstices. Comparisons with published studies from other conifers shows congruent behavior in clock genes with Japanese cedar (Cryptomeria), and a significant preservation of gene expression patterns for 2278 putative orthologs from Douglas-fir during the summer growing season, and 760 putative orthologs from spruce (Picea) during the transition from fall to winter. CONCLUSIONS Our study highlight the extensive diurnal and circannual transcriptome variability demonstrated in conifer needles. At these temporal scales, 29% of expressed transcripts show a significant diurnal cycle, and 58.7% show a significant circannual cycle. Remarkably, thousands of genes reach their annual peak activity during winter dormancy. Our study establishes the fine-scale timing of daily and annual maximum gene expression for diverse needle genes in Douglas-fir, and it highlights the potential for using this information for evaluating hypotheses concerning the daily or seasonal timing of gene activity in temperate-zone conifers, and for identifying cyclic transcriptome components in other conifer species.
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Affiliation(s)
- Richard Cronn
- Pacific Northwest Research Station, USDA Forest Service, Corvallis, OR, 97331, USA.
| | - Peter C Dolan
- University of Minnesota - Morris, Morris, MN, 56267, USA
| | - Sanjuro Jogdeo
- Department of Integrative Biology, Oregon State University, Corvallis, OR, 97331, USA
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, 06269, USA
| | - David B Neale
- Department of Plant Sciences, University of California - Davis, Davis, CA, 95616, USA
| | - J Bradley St Clair
- Pacific Northwest Research Station, USDA Forest Service, Corvallis, OR, 97331, USA
| | - Dee R Denver
- Department of Integrative Biology, Oregon State University, Corvallis, OR, 97331, USA
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