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Perfileva AI, Krutovsky KV. Manganese Nanoparticles: Synthesis, Mechanisms of Influence on Plant Resistance to Stress, and Prospects for Application in Agricultural Chemistry. J Agric Food Chem 2024; 72:7564-7585. [PMID: 38536968 DOI: 10.1021/acs.jafc.3c07350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Manganese (Mn) is an important microelement for the mineral nutrition of plants, but it is not effectively absorbed from the soil and mineral salts added thereto and can also be toxic in high concentrations. Mn nanoparticles (NPs) are less toxic, more effective, and economical than Mn salts due to their nanosize. This article critically reviews the current publications on Mn NPs, focusing on their effects on plant health, growth, and stress tolerance, and explaining possible mechanisms of their effects. This review also provides basic information and examples of chemical, physical, and ecological ("green") methods for the synthesis of Mn NPs. It has been shown that the protective effect of Mn NPs is associated with their antioxidant activity, activation of systemic acquired resistance (SAR), and pronounced antimicrobial activity against phytopathogens. In conclusion, Mn NPs are promising agents for agriculture, but their effects on gene expression and plant microbiome require further research.
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Affiliation(s)
- Alla I Perfileva
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Faculty of Forest Sciences and Forest Ecology, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), Georg-August University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Street 3, 119333 Moscow, Russia
- Genome Research and Education Center, Laboratory of Forest Genomics, Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
- Scientific and Methodological Center, G.F. Morozov Voronezh State University of Forestry and Technologies, Timiryazeva Street 8, 394036 Voronezh, Russia
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Zhao H, Dai YC, Wu F, Liu XY, Maurice S, Krutovsky KV, Pavlov IN, Lindner DL, Martin FM, Yuan Y. Insights into the Ecological Diversification of the Hymenochaetales based on Comparative Genomics and Phylogenomics With an Emphasis on Coltricia. Genome Biol Evol 2023; 15:evad136. [PMID: 37498334 PMCID: PMC10410303 DOI: 10.1093/gbe/evad136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/01/2023] [Accepted: 07/16/2023] [Indexed: 07/28/2023] Open
Abstract
To elucidate the genomic traits of ecological diversification in the Hymenochaetales, we sequenced 15 new genomes, with attention to ectomycorrhizal (EcM) Coltricia species. Together with published data, 32 genomes, including 31 Hymenochaetales and one outgroup, were comparatively analyzed in total. Compared with those of parasitic and saprophytic members, EcM species have significantly reduced number of plant cell wall degrading enzyme genes, and expanded transposable elements, genome sizes, small secreted proteins, and secreted proteases. EcM species still retain some of secreted carbohydrate-active enzymes (CAZymes) and have lost the key secreted CAZymes to degrade lignin and cellulose, while possess a strong capacity to degrade a microbial cell wall containing chitin and peptidoglycan. There were no significant differences in secreted CAZymes between fungi growing on gymnosperms and angiosperms, suggesting that the secreted CAZymes in the Hymenochaetales evolved before differentiation of host trees into gymnosperms and angiosperms. Nevertheless, parasitic and saprophytic species of the Hymenochaetales are very similar in many genome features, which reflect their close phylogenetic relationships both being white rot fungi. Phylogenomic and molecular clock analyses showed that the EcM genus Coltricia formed a clade located at the base of the Hymenochaetaceae and divergence time later than saprophytic species. And Coltricia remains one to two genes of AA2 family. These indicate that the ancestors of Coltricia appear to have originated from saprophytic ancestor with the ability to cause a white rot. This study provides new genomic data for EcM species and insights into the ecological diversification within the Hymenochaetales based on comparative genomics and phylogenomics analyses.
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Affiliation(s)
- Heng Zhao
- Institute of Microbiology, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Yu-Cheng Dai
- Institute of Microbiology, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Fang Wu
- Institute of Microbiology, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Xiao-Yong Liu
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Sundy Maurice
- Section for Genetics and Evolutionary Biology (EVOGENE), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Laboratory of Forest Genomics, Department of Genomics and Bioinformatics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, Voronezh, Russia
| | - Igor N Pavlov
- Mycology and Plant Pathology, V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russia
- Department of Chemical Technology of Wood and Biotechnology, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
| | | | - Francis M Martin
- Université de Lorraine, INRAE, UMR Interactions Arbres/Microorganismes, Centre INRAE-GrandEst-Nancy, Champenoux, France
| | - Yuan Yuan
- Institute of Microbiology, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
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Batalova AY, Krutovsky KV. Genetic and Epigenetic Mechanisms of Longevity in Forest Trees. Int J Mol Sci 2023; 24:10403. [PMID: 37373550 DOI: 10.3390/ijms241210403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
Trees are unique in terms of development, sustainability and longevity. Some species have a record lifespan in the living world, reaching several millennia. The aim of this review is to summarize the available data on the genetic and epigenetic mechanisms of longevity in forest trees. In this review, we have focused on the genetic aspects of longevity of a few well-studied forest tree species, such as Quercus robur, Ginkgo biloba, Ficus benghalensis and F. religiosa, Populus, Welwitschia and Dracaena, as well as on interspecific genetic traits associated with plant longevity. A key trait associated with plant longevity is the enhanced immune defense, with the increase in gene families such as RLK, RLP and NLR in Quercus robur, the expansion of the CC-NBS-LRR disease resistance families in Ficus species and the steady expression of R-genes in Ginkgo biloba. A high copy number ratio of the PARP1 family genes involved in DNA repair and defense response was found in Pseudotsuga menziesii, Pinus sylvestris and Malus domestica. An increase in the number of copies of the epigenetic regulators BRU1/TSK/MGO3 (maintenance of meristems and genome integrity) and SDE3 (antiviral protection) was also found in long-lived trees. CHG methylation gradually declines in the DAL 1 gene in Pinus tabuliformis, a conservative age biomarker in conifers, as the age increases. It was shown in Larix kaempferi that grafting, cutting and pruning change the expression of age-related genes and rejuvenate plants. Thus, the main genetic and epigenetic mechanisms of longevity in forest trees were considered, among which there are both general and individual processes.
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Affiliation(s)
- Anastasia Y Batalova
- Genome Research and Education Center, Laboratory of Forest Genomics, Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
| | - Konstantin V Krutovsky
- Genome Research and Education Center, Laboratory of Forest Genomics, Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
- Department of Forest Genetics and Forest Tree Breeding, Faculty of Forest Sciences and Forest Ecology, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), Georg-August University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Str. 3, 119333 Moscow, Russia
- Scientific and Methodological Center, G.F. Morozov Voronezh State University of Forestry and Technologies, Timiryazeva Str. 8, 394036 Voronezh, Russia
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Novikova SV, Sharov VV, Oreshkova NV, Simonov EP, Krutovsky KV. Genetic Adaptation of Siberian Larch ( Larix sibirica Ledeb.) to High Altitudes. Int J Mol Sci 2023; 24:ijms24054530. [PMID: 36901960 PMCID: PMC10003562 DOI: 10.3390/ijms24054530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/10/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
Forest trees growing in high altitude conditions offer a convenient model for studying adaptation processes. They are subject to a whole range of adverse factors that are likely to cause local adaptation and related genetic changes. Siberian larch (Larix sibirica Ledeb.), whose distribution covers different altitudes, makes it possible to directly compare lowland with highland populations. This paper presents for the first time the results of studying the genetic differentiation of Siberian larch populations, presumably associated with adaptation to the altitudinal gradient of climatic conditions, based on a joint analysis of altitude and six other bioclimatic variables, together with a large number of genetic markers, single nucleotide polymorphisms (SNPs), obtained from double digest restriction-site-associated DNA sequencing (ddRADseq). In total, 25,143 SNPs were genotyped in 231 trees. In addition, a dataset of 761 supposedly selectively neutral SNPs was assembled by selecting SNPs located outside coding regions in the Siberian larch genome and mapped to different contigs. The analysis using four different methods (PCAdapt, LFMM, BayeScEnv and RDA) revealed 550 outlier SNPs, including 207 SNPs whose variation was significantly correlated with the variation of some of environmental factors and presumably associated with local adaptation, including 67 SNPs that correlated with altitude based on either LFMM or BayeScEnv and 23 SNPs based on both of them. Twenty SNPs were found in the coding regions of genes, and 16 of them represented non-synonymous nucleotide substitutions. They are located in genes involved in the processes of macromolecular cell metabolism and organic biosynthesis associated with reproduction and development, as well as organismal response to stress. Among these 20 SNPs, nine were possibly associated with altitude, but only one of them was identified as associated with altitude by all four methods used in the study, a nonsynonymous SNP in scaffold_31130 in position 28092, a gene encoding a cell membrane protein with uncertain function. Among the studied populations, at least two main groups (clusters), the Altai populations and all others, were significantly genetically different according to the admixture analysis based on any of the three SNP datasets as follows: 761 supposedly selectively neutral SNPs, all 25,143 SNPs and 550 adaptive SNPs. In general, according to the AMOVA results, genetic differentiation between transects or regions or between population samples was relatively low, although statistically significant, based on 761 neutral SNPs (FST = 0.036) and all 25,143 SNPs (FST = 0.017). Meanwhile, the differentiation based on 550 adaptive SNPs was much higher (FST = 0.218). The data showed a relatively weak but highly significant linear correlation between genetic and geographic distances (r = 0.206, p = 0.001).
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Affiliation(s)
- Serafima V. Novikova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Vadim V. Sharov
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Department of High-Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia
- Tauber Bioinformatics Research Center, University of Haifa, Haifa 3498838, Israel
| | - Natalia V. Oreshkova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Evgeniy P. Simonov
- Laboratory of Evolutionary Trophology, A. N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, Russia
| | - Konstantin V. Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russia
- Correspondence: ; Tel.: +49-551-339-3537
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Kersten B, Rellstab C, Schroeder H, Brodbeck S, Fladung M, Krutovsky KV, Gugerli F. The mitochondrial genome sequence of Abies alba Mill. reveals a high structural and combinatorial variation. BMC Genomics 2022; 23:776. [PMID: 36443651 PMCID: PMC9703787 DOI: 10.1186/s12864-022-08993-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/05/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Plant mitogenomes vary widely in size and genomic architecture. Although hundreds of plant mitogenomes of angiosperm species have already been sequence-characterized, only a few mitogenomes are available from gymnosperms. Silver fir (Abies alba) is an economically important gymnosperm species that is widely distributed in Europe and occupies a large range of environmental conditions. Reference sequences of the nuclear and chloroplast genome of A. alba are available, however, the mitogenome has not yet been assembled and studied. RESULTS Here, we used paired-end Illumina short reads generated from a single haploid megagametophyte in combination with PacBio long reads from high molecular weight DNA of needles to assemble the first mitogenome sequence of A. alba. Assembly and scaffolding resulted in 11 mitogenome scaffolds, with the largest scaffold being 0.25 Mbp long. Two of the scaffolds displayed a potential circular structure supported by PCR. The total size of the A. alba mitogenome was estimated at 1.43 Mbp, similar to the size (1.33 Mbp) of a draft assembly of the Abies firma mitogenome. In total, 53 distinct genes of known function were annotated in the A. alba mitogenome, comprising 41 protein-coding genes, nine tRNA, and three rRNA genes. The proportion of highly repetitive elements (REs) was 0.168. The mitogenome seems to have a complex and dynamic structure featured by high combinatorial variation, which was specifically confirmed by PCR for the contig with the highest mapping coverage. Comparative analysis of all sequenced mitogenomes of gymnosperms revealed a moderate, but significant positive correlation between mitogenome size and proportion of REs. CONCLUSIONS The A. alba mitogenome provides a basis for new comparative studies and will allow to answer important structural, phylogenetic and other evolutionary questions. Future long-read sequencing with higher coverage of the A. alba mitogenome will be the key to further resolve its physical structure. The observed positive correlation between mitogenome size and proportion of REs will be further validated once available mitogenomes of gymnosperms would become more numerous. To test whether a higher proportion of REs in a mitogenome leads to an increased recombination and higher structural complexity and variability is a prospective avenue for future research.
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Affiliation(s)
- Birgit Kersten
- Thünen Institute of Forest Genetics, Sieker Landstrasse 2, 22927 Grosshansdorf, Germany
| | - Christian Rellstab
- grid.419754.a0000 0001 2259 5533Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
| | - Hilke Schroeder
- Thünen Institute of Forest Genetics, Sieker Landstrasse 2, 22927 Grosshansdorf, Germany
| | - Sabine Brodbeck
- grid.419754.a0000 0001 2259 5533Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
| | - Matthias Fladung
- Thünen Institute of Forest Genetics, Sieker Landstrasse 2, 22927 Grosshansdorf, Germany
| | - Konstantin V. Krutovsky
- grid.7450.60000 0001 2364 4210Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
| | - Felix Gugerli
- grid.419754.a0000 0001 2259 5533Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
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Schulte L, Meucci S, Stoof-Leichsenring KR, Heitkam T, Schmidt N, von Hippel B, Andreev AA, Diekmann B, Biskaborn BK, Wagner B, Melles M, Pestryakova LA, Alsos IG, Clarke C, Krutovsky KV, Herzschuh U. Larix species range dynamics in Siberia since the Last Glacial captured from sedimentary ancient DNA. Commun Biol 2022; 5:570. [PMID: 35681049 PMCID: PMC9184489 DOI: 10.1038/s42003-022-03455-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 05/06/2022] [Indexed: 11/19/2022] Open
Abstract
Climate change is expected to cause major shifts in boreal forests which are in vast areas of Siberia dominated by two species of the deciduous needle tree larch (Larix). The species differ markedly in their ecosystem functions, thus shifts in their respective ranges are of global relevance. However, drivers of species distribution are not well understood, in part because paleoecological data at species level are lacking. This study tracks Larix species distribution in time and space using target enrichment on sedimentary ancient DNA extracts from eight lakes across Siberia. We discovered that Larix sibirica, presently dominating in western Siberia, likely migrated to its northern distribution area only in the Holocene at around 10,000 years before present (ka BP), and had a much wider eastern distribution around 33 ka BP. Samples dated to the Last Glacial Maximum (around 21 ka BP), consistently show genotypes of L. gmelinii. Our results suggest climate as a strong determinant of species distribution in Larix and provide temporal and spatial data for species projection in a changing climate. Using ancient sedimentary DNA from up to 50 kya, dramatic distributional shifts are documented in two dominant boreal larch species, likely guided by environmental changes suggesting climate as a strong determinant of species distribution.
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Popov VN, Syromyatnikov MY, Franceschi C, Moskalev AA, Krutovsky KV, Krutovsky KV. Genetic mechanisms of aging in plants: What can we learn from them? Ageing Res Rev 2022; 77:101601. [PMID: 35278719 DOI: 10.1016/j.arr.2022.101601] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 02/03/2022] [Accepted: 03/02/2022] [Indexed: 12/18/2022]
Abstract
Plants hold all records in longevity. Their aging is a complex process. In the presented review, we analyzed published data on various aspects of plant aging with focus on any inferences that could shed a light on aging in animals and help to fight it in human. Plant aging can be caused by many factors, such as telomere depletion, genomic instability, loss of proteostasis, changes in intercellular interaction, desynchronosis, autophagy misregulation, epigenetic changes and others. Plants have developed a number of mechanisms to increase lifespan. Among these mechanisms are gene duplication ("genetic backup"), the active work of telomerases, abundance of meristematic cells, capacity of maintaining the meristems permanently active and continuous activity of phytohormones. Plant aging usually occurs throughout the whole perennial life, but could be also seasonal senescence. Study of causes for seasonal aging can also help to uncover the mechanisms of plant longevity. The influence of different factors such as microbiome communities, glycation, alternative oxidase activity, mitochondrial dysfunction on plant longevity was also reviewed. Adaptive mechanisms of long-lived plants are considered. Further comparative study of the mechanisms underlying longevity of plants is necessary. This will allow us to reach a potentially new level of understanding of the aging process of plants.
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Batalova AY, Putintseva YA, Sadovsky MG, Krutovsky KV. Comparative Genomics of Seasonal Senescence in Forest Trees. Int J Mol Sci 2022; 23:ijms23073761. [PMID: 35409113 PMCID: PMC8998842 DOI: 10.3390/ijms23073761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 01/13/2023] Open
Abstract
In the course of evolution, both flowering plants and some gymnosperms have developed such an adaptation to winter and unfavorable living conditions as deciduousness. Of particular interest is Siberian larch (Larix sibirica Ledeb.), which is the only species in the pine family (Pinaceae) with a seasonal deciduousness. New generation sequencing technologies make it possible to study this phenomenon at the genomic level and to reveal the genetic mechanisms of leaf and needle aging in angiosperms and gymnosperms. Using a comparative analysis of the genomes of evergreen and deciduous trees, it was found that the genes that control EXORDIUM LIKE 2 (EXL2) and DORMANCY-ASSOCIATED PROTEIN 1 (DRM1) proteins are most represented in Siberian larch, while an excess of genes that control proteins acting as immune receptors were found in evergreens. Orthologs from the family of genes that control leucine-rich repeat receptor-like kinases (LRR-RLK) contributed mostly to the distinction between evergreens and deciduous plants.
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Affiliation(s)
- Anastasia Y. Batalova
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia;
| | - Yuliya A. Putintseva
- Department of Biophysics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia;
| | - Michael G. Sadovsky
- Institute of Computational Modelling, Russian Academy of Sciences, Siberian Branch, 660036 Krasnoyarsk, Russia;
- V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
- Federal Siberian Research Clinical Center, Federal Medical-Biological Agency, 660037 Krasnoyarsk, Russia
| | - Konstantin V. Krutovsky
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia;
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russia
- Correspondence: ; Tel.: +49-551-339-3537
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Shevchenko GV, Krutovsky KV. Mechanical stress effects on transcriptional regulation of genes encoding microtubule- and actin-associated proteins. Physiol Mol Biol Plants 2022; 28:17-30. [PMID: 35210715 PMCID: PMC8847523 DOI: 10.1007/s12298-021-01123-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
Plant cytoskeleton regulation has been studied using a new approach based on both (1) pharmacological analysis of tubulin and actin inhibitors and (2) mechanical stimulation achieved by using a slow-rotating (2 rpm) clinostat in combination with transcriptional analysis of genes encoding TUA6, ACT2, MAP65-1, CLASP, PLDδ, FH4 and FH1 proteins in Arabidopsis thaliana seedling roots. The obtained data suggest feedback between the organization of microtubule (MT) and actin filament (AF) networks and the expression of the ACT2, TUA6, MAP65-1, CLASP and FH1/FH4 genes. Different regulation of feedback between MT/AF organization and TUA6, ACT2, MAP65-1, CLASP, FH4 and FH1 gene expression was noted during slow clinorotation, possibly due to altered mechanical impact on the cortical cytoskeleton. For the first time, the expression of the tubulin-associated gene MAP65-1 was shown to be dependent upon the organization of AFs. TUA6, MAP65-1, CLASP, FH1 and FH4 likely participate in mechanical signal transduction. Our work demonstrated that slow clinorotation is able to cause mechanical stress.
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Affiliation(s)
- Galina V. Shevchenko
- Institute of Botany, National Academy of Sciences of Ukraine, Kiev, 01004 Ukraine
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russian Federation
- Department of Genomics and Bioinformatics, Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russian Federation
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russian Federation
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Ghosh Dasgupta M, Abdul Bari MP, Shanmugavel S, Dharanishanthi V, Muthupandi M, Kumar N, Chauhan SS, Kalaivanan J, Mohan H, Krutovsky KV, Rajasugunasekar D. Targeted re-sequencing and genome-wide association analysis for wood property traits in breeding population of Eucalyptus tereticornis × E. grandis. Genomics 2021; 113:4276-4292. [PMID: 34785351 DOI: 10.1016/j.ygeno.2021.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 06/20/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022]
Abstract
Globally, Eucalyptus plantations occupy 22 million ha area and is one of the preferred hardwood species due to their short rotation, rapid growth, adaptability and wood properties. In this study, we present results of GWAS in parents and 100 hybrids of Eucalyptus tereticornis × E. grandis using 762 genes presumably involved in wood formation. Comparative analysis between parents predicted 32,202 polymorphic SNPs with high average read depth of 269-562× per individual per nucleotide. Seventeen wood related traits were phenotyped across three diverse environments and GWAS was conducted using 13,610 SNPs. A total of 45 SNP-trait associations were predicted across two locations. Seven large effect markers were identified which explained more than 80% of phenotypic variation for fibre area. This study has provided an array of candidate genes which may govern fibre morphology in this genus and has predicted potential SNPs which can guide future breeding programs in tropical Eucalyptus.
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Affiliation(s)
| | | | | | | | - Muthusamy Muthupandi
- Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore 641002, India
| | - Naveen Kumar
- Institute of Wood Science and Technology, 18(th) Cross Malleshwaram, Bangalore 560 003, India
| | - Shakti Singh Chauhan
- Institute of Wood Science and Technology, 18(th) Cross Malleshwaram, Bangalore 560 003, India
| | | | - Haritha Mohan
- Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore 641002, India
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany; Center for Integrated Breeding Research, George-August University of Göttingen, 37075 Göttingen, Germany; Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia; Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia; Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843-2138, USA
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11
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Khutsishvili SS, Perfileva AI, Nozhkina OA, Ganenko TV, Krutovsky KV. Novel Nanobiocomposites Based on Natural Polysaccharides as Universal Trophic Low-Dose Micronutrients. Int J Mol Sci 2021; 22:ijms222112006. [PMID: 34769436 PMCID: PMC8584298 DOI: 10.3390/ijms222112006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 12/11/2022] Open
Abstract
New promising manganese-containing nanobiocomposites (NCs) based on natural polysaccharides, arabinogalactan (AG), arabinogalactan sulfate (AGS), and κ-carrageenan (κ-CG) were studied to develop novel multi-purpose trophic low-dose organomineral fertilizers. The general toxicological effects of manganese (Mn) on the vegetation of potatoes (Solanum tuberosum L.) was evaluated in this study. The essential physicochemical properties of this trace element in plant tissues, such as its elemental analysis and its spectroscopic parameters in electron paramagnetic resonance (EPR), were determined. Potato plants grown in an NC-containing medium demonstrated better biometric parameters than in the control medium, and no Mn accumulated in plant tissues. In addition, the synthesized NCs demonstrated a pronounced antibacterial effect against the phytopathogenic bacterium Clavibacter sepedonicus (Cms) and were proved to be safe for natural soil microflora.
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Affiliation(s)
- Spartak S. Khutsishvili
- Department of Physical Organic Chemistry, N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Siberian Branch of the Russian Academy of Sciences, 9 Lavrentiev Av., 630090 Novosibirsk, Russia;
| | - Alla I. Perfileva
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia; (A.I.P.); (O.A.N.)
| | - Olga A. Nozhkina
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia; (A.I.P.); (O.A.N.)
| | - Tatjana V. Ganenko
- Laboratory of Functional Nanomaterials, A.E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, 1 Favorsky Str., 664033 Irkutsk, Russia;
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Faculty of Forest Sciences and Forest Ecology, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), Georg-August University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Str. 3, 119333 Moscow, Russia
- Genome Research and Education Center, Laboratory of Forest Genomics, Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
- Forestry Faculty, G.F. Morozov Voronezh State University of Forestry and Technologies, 8 Timiryazeva Str., 394036 Voronezh, Russia
- Correspondence: ; Tel.: +49-551-393-3537
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12
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Shestibratov KA, Baranov OY, Mescherova EN, Kiryanov PS, Panteleev SV, Mozharovskaya LV, Krutovsky KV, Padutov VE. Structure and Phylogeny of the Curly Birch Chloroplast Genome. Front Genet 2021; 12:625764. [PMID: 34671379 PMCID: PMC8521055 DOI: 10.3389/fgene.2021.625764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Curly birch [Betula pendula var. carelica (Merckl.) Hämet-Ahti] is a relatively rare variety of silver birch (B. pendula Roth) that occurs mainly in Northern Europe and northwest part of Russia (Karelia). It is famous for the beautiful decorative texture of wood. Abnormal xylogenesis underlying this trait is heritable, but its genetic mechanism has not yet been fully understood. The high number of potentially informative genetic markers can be identified through sequencing nuclear and organelle genomes. Here, the de novo assembly, complete nucleotide sequence, and annotation of the chloroplast genome (plastome) of curly birch are presented for the first time. The complete plastome length is 160,523 bp. It contains 82 genes encoding structural and enzymatic proteins, 37 transfer RNAs (tRNAs), and eight ribosomal RNAs (rRNAs). The chloroplast DNA (cpDNA) is AT-rich containing 31.5% of A and 32.5% of T nucleotides. The GC-rich regions represent inverted repeats IR1 and IR2 containing genes of rRNAs (5S, 4.5S, 23S, and 16S) and tRNAs (trnV, trnI, and trnA). A high content of GC was found in rRNA (55.2%) and tRNA (53.2%) genes, but only 37.0% in protein-coding genes. In total, 384 microsatellite or simple sequence repeat (SSR) loci were found, mostly with mononucleotide motifs (92% of all loci) and predominantly A or T motifs (94% of all mononucleotide motifs). Comparative analysis of cpDNA in different plant species revealed high structural and functional conservatism in organization of the angiosperm plastomes, while the level of differences depends on the phylogenetic relationship. The structural and functional organization of plastome in curly birch was similar to cpDNA in other species of woody plants. Finally, the identified cpDNA sequence variation will allow to develop useful genetic markers.
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Affiliation(s)
- Konstantin A Shestibratov
- Forest Biotechnology Group, Branch of Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Pushchino, Russia.,Forestry Faculty, G. F. Morozov Voronezh State University of Forestry and Technologies, Voronezh, Russia
| | - Oleg Yu Baranov
- Laboratory of Genomics and Bioinformatics, Forest Research Institute, National Academy of Sciences of Belarus, Gomel, Belarus
| | - Eugenia N Mescherova
- Forest Biotechnology Group, Branch of Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Pushchino, Russia
| | - Pavel S Kiryanov
- Laboratory of Genomics and Bioinformatics, Forest Research Institute, National Academy of Sciences of Belarus, Gomel, Belarus
| | - Stanislav V Panteleev
- Laboratory of Genomics and Bioinformatics, Forest Research Institute, National Academy of Sciences of Belarus, Gomel, Belarus
| | - Ludmila V Mozharovskaya
- Laboratory of Genomics and Bioinformatics, Forest Research Institute, National Academy of Sciences of Belarus, Gomel, Belarus
| | - Konstantin V Krutovsky
- Forestry Faculty, G. F. Morozov Voronezh State University of Forestry and Technologies, Voronezh, Russia.,Department of Forest Genetics and Forest Tree Breeding, George-August University of Göttingen, Göttingen, Germany.,Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
| | - Vladimir E Padutov
- Department of Genetics, Tree Breeding and Biotechnology, Forest Research Institute, National Academy of Sciences of Belarus, Gomel, Belarus
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13
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Perfileva AI, Nozhkina OA, Ganenko TV, Graskova IA, Sukhov BG, Artem’ev AV, Trofimov BA, Krutovsky KV. Selenium Nanocomposites in Natural Matrices as Potato Recovery Agent. Int J Mol Sci 2021; 22:4576. [PMID: 33925499 PMCID: PMC8123876 DOI: 10.3390/ijms22094576] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/21/2021] [Accepted: 04/24/2021] [Indexed: 12/11/2022] Open
Abstract
The paper presents a study of the effect of chemically synthesized selenium nanocomposites (Se NCs) in natural polymer matrices arabinogalactan (AG) and starch (ST) on the viability of the potato ring rot pathogen Clavibacter sepedonicus (Cms), potato plants in vitro, and the soil bacterium Rhodococcus erythropolis. It was found that the studied Se NCs have an antibacterial effect against the phytopathogenic Cms, reducing its growth rate and ability to form biofilms. It was revealed that Se NC based on AG (Se/AG NC) stimulated the growth and development of potato plants in vitro as well as their root formation. At the same time, Se did not accumulate in potato tissues after the treatment of plants with Se NCs. The safety of the Se NCs was also confirmed by the absence of a negative effect on the growth and biofilm formation of the soil bacterium R. erythropolis. The obtained results indicate that Se NCs are promising environmentally safe agents for the protection and recovery of cultivated plants from phytopathogenic bacteria.
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Affiliation(s)
- Alla I. Perfileva
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia; (A.I.P.); (O.A.N.); (I.A.G.)
| | - Olga A. Nozhkina
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia; (A.I.P.); (O.A.N.); (I.A.G.)
| | - Tatjana V. Ganenko
- Laboratory of Functional Nanomaterials, A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia;
| | - Irina A. Graskova
- Laboratory of Plant-Microbe Interactions, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia; (A.I.P.); (O.A.N.); (I.A.G.)
| | - Boris G. Sukhov
- Laboratory of Nanoparticles, V. V. Voevodsky Institute of Chemical Kinetics and Combustion, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
| | - Alexander V. Artem’ev
- A. V. Nikolaev Institute of Inorganic Chemistry, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
| | - Boris A. Trofimov
- Laboratory of Unsaturated Heteroatomic Compounds, A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia;
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Faculty of Forest Sciences and Forest Ecology, Georg-August University of Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany
- Center for Integrated Breeding Research (CiBreed), Georg-August University of Göttingen, Albrecht-Thaer-Weg 3, D-37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Str. 3, 119333 Moscow, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036 Krasnoyarsk, Russia
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843-2138, USA
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14
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Tarieiev AS, Gailing O, Krutovsky KV. ITS secondary structure reconstruction to resolve taxonomy and phylogeny of the Betula L. genus. PeerJ 2021; 9:e10889. [PMID: 33828907 PMCID: PMC7996101 DOI: 10.7717/peerj.10889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 01/12/2021] [Indexed: 01/31/2023] Open
Abstract
The taxonomy and phylogeny of the Betula L. genus remain unresolved and are very difficult to assess due to several factors, especially because of frequent hybridization among different species. In the current study, we used nucleotide sequences of two internal transcribed spacer regions (ITS1 and ITS2), which are commonly used as phylogenetic markers. In addition to their nucleotide variation we reconstructed their secondary structure and used it to resolve phylogenetic relationships of some birch species. We explored whether consideration of secondary structure in phylogenetic analyses based on neighbor-joining, maximum parsimony, maximum likelihood, and Bayesian inference methods would help us obtain more solid support of the reconstructed phylogenetic trees. The results were not unambiguous. There were only a few clades with higher support when secondary structure was included into analysis. The phylogenetic trees generated using different methods were mostly in agreement with each other. However, the resolving power of these markers is still insufficient to reliably discriminate some closely related species. To achieve this aim more reliably there is a need for application of modern genomic approaches in combination with traditional ones.
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Affiliation(s)
- Andrii S. Tarieiev
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
| | - Oliver Gailing
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, Göttingen, Germany
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, Göttingen, Germany
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
- Laboratory of Population Genetics, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, United States of America
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15
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Cuervo-Alarcon L, Arend M, Müller M, Sperisen C, Finkeldey R, Krutovsky KV. A candidate gene association analysis identifies SNPs potentially involved in drought tolerance in European beech (Fagus sylvatica L.). Sci Rep 2021; 11:2386. [PMID: 33504857 PMCID: PMC7840767 DOI: 10.1038/s41598-021-81594-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/06/2021] [Indexed: 01/30/2023] Open
Abstract
Studies of genetic variation underlying traits related to drought tolerance in forest trees are of great importance for understanding their adaptive potential under a climate change scenario. In this study, using a candidate gene approach, associations between SNPs and drought related traits were assessed in saplings of European beech (Fagus sylvatica L.) representing trees growing along steep precipitation gradients. The saplings were subjected to experimentally controlled drought treatments. Response of the saplings was assessed by the evaluation of stem diameter growth (SDG) and the chlorophyll fluorescence parameters FV/FM, PIabs, and PItot. The evaluation showed that saplings from xeric sites were less affected by the drought treatment. Five SNPs (7.14%) in three candidate genes were significantly associated with the evaluated traits; saplings with particular genotypes at these SNPs showed better performance under the drought treatment. The SNPs were located in the cytosolic class I small heat-shock protein, CTR/DRE binding transcription factor, and isocitrate dehydrogenase genes and explained 5.8-13.4% of the phenotypic variance. These findings provide insight into the genetic basis of traits related to drought tolerance in European beech and could support the development of forest conservation management strategies under future climatic conditions.
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Affiliation(s)
- Laura Cuervo-Alarcon
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany
| | - Matthias Arend
- Physiological Plant Ecology, University of Basel, Schönbeinstrasse 6, 4056, Basel, Switzerland
| | - Markus Müller
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany
| | - Christoph Sperisen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Reiner Finkeldey
- University of Kassel, Mönchebergstrasse 19, 34109, Kassel, Germany
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany.
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina Str., Moscow, Russia, 119333.
- Laboratory of Foresty Genomics, Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk, Russia, 660036.
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.
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16
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Breidenbach N, Gailing O, Krutovsky KV. Genetic structure of coast redwood (Sequoia sempervirens [D. Don] Endl.) populations in and outside of the natural distribution range based on nuclear and chloroplast microsatellite markers. PLoS One 2020; 15:e0243556. [PMID: 33306715 PMCID: PMC7732113 DOI: 10.1371/journal.pone.0243556] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 11/24/2020] [Indexed: 11/18/2022] Open
Abstract
Coast redwood (Sequoia sempervirens) naturally growing in southern Oregon and northern California is one of the few conifer tree species that are polyploid. Despite its unique ecological and economic importance, its population genetic structure is still insufficiently studied. To obtain additional data on its population genetic structure we genotyped 317 samples collected from populations in California (data set C) and 144 trees growing in a provenance trial in France (data set F) using 12 nuclear (five random nuclear genomic nSSRs and seven expressed sequence tag EST-SSRs) and six chloroplast (cpSSRs) microsatellite or simple sequence repeat (SSR) markers, respectively. These data sets were also used as reference to infer the origin of 147 coast redwood trees growing in Germany (data set G). Coast redwood was introduced to Europe, including Germany as an ornamental species, decades ago. Due to its fast growth and high timber quality, it could be considered as a potential commercial timber species, especially in perspective to climate warming that makes more regions in Germany suitable for its growing. The well performing trees in colder Germany could be potential frost resistant genotypes, but their genetic properties and origin are mostly unknown. Within the natural range in southern Oregon and northern California, only two relatively weak clusters were identified, one northern and one southern, separated by the San Francisco Bay. High genetic diversity, but low differentiation was found based on the 12 nuclear SSR markers for all three data sets F, C and G. We found that investigated 147 German trees represented only 37 different genotypes. They showed genetic diversity at the level less than diversity observed within the natural range in the northern or southern cluster, but more similar to the diversity observed in the southern cluster. It was difficult to assign German trees to the original single native populations using the six cpSSR markers, but rather to either the northern or southern cluster. The high number of haplotypes found in the data sets based on six cpSSR markers and low genetic differentiation based on 12 nuclear SSRs found in this study helps us study and better understand population genetic structure of this complex polyploid tree and supports the selection of potential genotypes for German forestry.
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Affiliation(s)
- Natalie Breidenbach
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
| | - Oliver Gailing
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, Göttingen, Germany
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, Göttingen, Germany
- Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
- Department of Ecosystem Sciences and Management, Texas A&M University, College Station, Texas, United States of America
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Putintseva YA, Bondar EI, Simonov EP, Sharov VV, Oreshkova NV, Kuzmin DA, Konstantinov YM, Shmakov VN, Belkov VI, Sadovsky MG, Keech O, Krutovsky KV. Siberian larch (Larix sibirica Ledeb.) mitochondrial genome assembled using both short and long nucleotide sequence reads is currently the largest known mitogenome. BMC Genomics 2020; 21:654. [PMID: 32972367 PMCID: PMC7517811 DOI: 10.1186/s12864-020-07061-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/10/2020] [Indexed: 01/01/2023] Open
Abstract
Background Plant mitochondrial genomes (mitogenomes) can be structurally complex while their size can vary from ~ 222 Kbp in Brassica napus to 11.3 Mbp in Silene conica. To date, in comparison with the number of plant species, only a few plant mitogenomes have been sequenced and released, particularly for conifers (the Pinaceae family). Conifers cover an ancient group of land plants that includes about 600 species, and which are of great ecological and economical value. Among them, Siberian larch (Larix sibirica Ledeb.) represents one of the keystone species in Siberian boreal forests. Yet, despite its importance for evolutionary and population studies, the mitogenome of Siberian larch has not yet been assembled and studied. Results Two sources of DNA sequences were used to search for mitochondrial DNA (mtDNA) sequences: mtDNA enriched samples and nucleotide reads generated in the de novo whole genome sequencing project, respectively. The assembly of the Siberian larch mitogenome contained nine contigs, with the shortest and the largest contigs being 24,767 bp and 4,008,762 bp, respectively. The total size of the genome was estimated at 11.7 Mbp. In total, 40 protein-coding, 34 tRNA, and 3 rRNA genes and numerous repetitive elements (REs) were annotated in this mitogenome. In total, 864 C-to-U RNA editing sites were found for 38 out of 40 protein-coding genes. The immense size of this genome, currently the largest reported, can be partly explained by variable numbers of mobile genetic elements, and introns, but unlikely by plasmid-related sequences. We found few plasmid-like insertions representing only 0.11% of the entire Siberian larch mitogenome. Conclusions Our study showed that the size of the Siberian larch mitogenome is much larger than in other so far studied Gymnosperms, and in the same range as for the annual flowering plant Silene conica (11.3 Mbp). Similar to other species, the Siberian larch mitogenome contains relatively few genes, and despite its huge size, the repeated and low complexity regions cover only 14.46% of the mitogenome sequence.
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Affiliation(s)
- Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia
| | - Eugeniya I Bondar
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Evgeniy P Simonov
- Institute of Environmental and Agricultural Biology (X-BIO), University of Tyumen, Tyumen, 625003, Russia
| | - Vadim V Sharov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - Natalya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center", Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia.,Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Dmitry A Kuzmin
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - Yuri M Konstantinov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Vladimir N Shmakov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Vadim I Belkov
- Laboratory of Plant Genetic Engineering, Siberian Institute of Plant Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, Irkutsk, 664033, Russia
| | - Michael G Sadovsky
- Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Olivier Keech
- Department of Plant Physiology, UPSC, Umeå University, S-90187, Umeå, Sweden
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany. .,Center for Integrated Breeding Research, George-August University of Göttingen, 37075, 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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18
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Akulova VS, Sharov VV, Aksyonova AI, Putintseva YA, Oreshkova NV, Feranchuk SI, Kuzmin DA, Pavlov IN, Litovka YA, Krutovsky KV. De novo sequencing, assembly and functional annotation of Armillaria borealis genome. BMC Genomics 2020; 21:534. [PMID: 32912216 PMCID: PMC7487993 DOI: 10.1186/s12864-020-06964-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 07/29/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Massive forest decline has been observed almost everywhere as a result of negative anthropogenic and climatic effects, which can interact with pests, fungi and other phytopathogens and aggravate their effects. Climatic changes can weaken trees and make fungi, such as Armillaria more destructive. Armillaria borealis (Marxm. & Korhonen) is a fungus from the Physalacriaceae family (Basidiomycota) widely distributed in Eurasia, including Siberia and the Far East. Species from this genus cause the root white rot disease that weakens and often kills woody plants. However, little is known about ecological behavior and genetics of A. borealis. According to field research data, A. borealis is less pathogenic than A. ostoyae, and its aggressive behavior is quite rare. Mainly A. borealis behaves as a secondary pathogen killing trees already weakened by other factors. However, changing environment might cause unpredictable effects in fungus behavior. RESULTS The de novo genome assembly and annotation were performed for the A. borealis species for the first time and presented in this study. The A. borealis genome assembly contained ~ 68 Mbp and was comparable with ~ 60 and ~ 79.5 Mbp for the A. ostoyae and A. mellea genomes, respectively. The N50 for contigs equaled 50,544 bp. Functional annotation analysis revealed 21,969 protein coding genes and provided data for further comparative analysis. Repetitive sequences were also identified. The main focus for further study and comparative analysis will be on the enzymes and regulatory factors associated with pathogenicity. CONCLUSIONS Pathogenic fungi such as Armillaria are currently one of the main problems in forest conservation. A comprehensive study of these species and their pathogenicity is of great importance and needs good genomic resources. The assembled genome of A. borealis presented in this study is of sufficiently good quality for further detailed comparative study on the composition of enzymes in other Armillaria species. There is also a fundamental problem with the identification and classification of species of the Armillaria genus, where the study of repetitive sequences in the genomes of basidiomycetes and their comparative analysis will help us identify more accurately taxonomy of these species and reveal their evolutionary relationships.
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Affiliation(s)
- Vasilina S Akulova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
- Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", 660036, Krasnoyarsk, Russia
| | - Vadim V Sharov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
- Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", 660036, Krasnoyarsk, Russia
- Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Anastasiya I Aksyonova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
| | - Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
| | - Natalya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
- Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", 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
| | - Sergey I Feranchuk
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, 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
| | - Dmitry A Kuzmin
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
- Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russia
| | - Igor N Pavlov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia
- Laboratory of Reforestation, Mycology and Plant Pathology, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036, Krasnoyarsk, Russia
- Department of Chemical Technology of Wood and Biotechnology, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660049, Russia
| | - Yulia A Litovka
- Laboratory of Reforestation, Mycology and Plant Pathology, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036, Krasnoyarsk, Russia
- Department of Chemical Technology of Wood and Biotechnology, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660049, Russia
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russia.
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany.
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075, Göttingen, Germany.
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333, Moscow, Russia.
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA.
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Breidenbach N, Sharov VV, Gailing O, Krutovsky KV. De novo transcriptome assembly of cold stressed clones of the hexaploid Sequoia sempervirens (D. Don) Endl. Sci Data 2020; 7:239. [PMID: 32681057 PMCID: PMC7367877 DOI: 10.1038/s41597-020-00576-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 06/12/2020] [Indexed: 11/30/2022] Open
Abstract
Coast redwood is a very important endemic conifer timber species in Southern Oregon and Northern California in the USA. Due to its good wood properties and fast growth rate it can be considered as a prospective timber species also in other countries with similar or changing toward similar climatic conditions due to global climate warming, such as Germany. In general, it is frost sensitive and suffers from freezing temperatures. To study genetic mechanisms of frost resistance in this species and to select the most frost tolerant trees we tested 17 clones in climate control chamber experiments and generated two de novo assemblies of the coast redwood transcriptome from a pooled RNA sample using Trinity and CLC Genomic Workbench software, respectively. The hexaploid nature of the coast redwood genome makes it very challenging to successfully assemble and annotate the coast redwood transcriptome. The de novo transcriptome assembly generated by Trinity and CLC considering only reads with a minimum length of 180 bp and contigs no less than 200 bp long resulted in 634,772 and 788,464 unigenes (unique contigs), respectively.
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Affiliation(s)
- Natalie Breidenbach
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany
| | - Vadim V Sharov
- Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", 660036, Krasnoyarsk, Russian Federation
- Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074, Krasnoyarsk, Russian Federation
| | - Oliver Gailing
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075, Göttingen, Germany
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077, Göttingen, Germany.
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075, Göttingen, Germany.
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036, Krasnoyarsk, Russian Federation.
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333, Moscow, Russian Federation.
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA.
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20
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Vidyagina EO, Subbotina NM, Belyi VA, Lebedev VG, Krutovsky KV, Shestibratov KA. Various effects of the expression of the xyloglucanase gene from Penicillium canescens in transgenic aspen under semi-natural conditions. BMC Plant Biol 2020; 20:251. [PMID: 32493269 PMCID: PMC7268456 DOI: 10.1186/s12870-020-02469-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Recombinant carbohydrases genes are used to produce transgenic woody plants with improved phenotypic traits. However, cultivation of such plants in open field is challenging due to a number of problems. Therefore, additional research is needed to alleviate them. RESULTS Results of successful cultivation of the transgenic aspens (Populus tremula) carrying the recombinant xyloglucanase gene (sp-Xeg) from Penicillium canescens in semi-natural conditions are reported in this paper for the first time. Change of carbohydrate composition of wood was observed in transgenic aspens carrying the sp-Xeg gene. The transformed transgenic line Xeg-2-1b demonstrated accelerated growth and increased content of cellulose in wood of trees growing in both greenhouse and outside in comparison with the control untransformed line Pt. The accelerated growth was observed also in the transgenic line Xeg-1-1c. Thicker cell-wall and longer xylem fiber were also observed in both these transgenic lines. Undescribed earlier considerable reduction in the wood decomposition rate of the transgenic aspen stems was also revealed for the transformed transgenic lines. The decomposition rate was approximately twice as lower for the transgenic line Xeg-2-3b in comparison with the control untransformed line Pt. CONCLUSION A direct dependence of the phenotypic and biochemical traits on the expression of the recombinant gene sp-Xeg was demonstrated. The higher was the level of the sp-Xeg gene expression, the more pronounced were changes in the phenotypic and biochemical traits. All lines showed phenotypic changes in the leave traits. Our results showed that the plants carrying the recombinant sp-Xeg gene do not demonstrate a decrease in growth parameters in semi-natural conditions. In some transgenic lines, a change in the carbohydrate composition of the wood, an increase in the cell wall thickness, and a decrease in the rate of decomposition of wood were observed.
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Affiliation(s)
- Elena O. Vidyagina
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospect Nauki 6, Pushchino, Russian Federation 142290
| | - Natalia M. Subbotina
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospect Nauki 6, Pushchino, Russian Federation 142290
| | - Vladimir A. Belyi
- Institute of Сhemistry, Komi Science Centre, Urals Branch of the Russian Academy of Sciences, Republic of Komi, Pervomaiskaya Str. 48, Syktyvkar, Russian Federation 167000
| | - Vadim G. Lebedev
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospect Nauki 6, Pushchino, Russian Federation 142290
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, George-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, Albrecht-Thaer-Weg 3, 37077 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Str. 3, Moscow, Russian Federation 119991
- Laboratory of Forest Genomics, Genomic Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Akademgorodok 50a/2, Krasnoyarsk, Russian Federation 660036
- Department of Ecosystem Sciences and Management, Texas A&M University, College Station, TX 77843-2138 USA
| | - Konstantin A. Shestibratov
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospect Nauki 6, Pushchino, Russian Federation 142290
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21
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Lebedev VG, Subbotina NM, Maluchenko OP, Lebedeva TN, Krutovsky KV, Shestibratov KA. Transferability and Polymorphism of SSR Markers Located in Flavonoid Pathway Genes in Fragaria and Rubus Species. Genes (Basel) 2019; 11:E11. [PMID: 31877734 PMCID: PMC7017068 DOI: 10.3390/genes11010011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 12/14/2019] [Accepted: 12/19/2019] [Indexed: 12/16/2022] Open
Abstract
Strawberry (Fragaria) and raspberry (Rubus) are very popular crops, and improving their nutritional quality and disease resistance are important tasks in their breeding programs that are becoming increasingly based on use of functional DNA markers. We identified 118 microsatellite (simple sequence repeat-SSR) loci in the nucleotide sequences of flavonoid biosynthesis and pathogenesis-related genes and developed 24 SSR markers representing some of these structural and regulatory genes. These markers were used to assess the genetic diversity of 48 Fragaria and Rubus specimens, including wild species and rare cultivars, which differ in berry color, ploidy, and origin. We have demonstrated that a high proportion of the developed markers are transferable within and between Fragaria and Rubus genera and are polymorphic. Transferability and polymorphism of the SSR markers depended on location of their polymerase chain reaction (PCR) primer annealing sites and microsatellite loci in genes, respectively. High polymorphism of the SSR markers in regulatory flavonoid biosynthesis genes suggests their allelic variability that can be potentially associated with differences in flavonoid accumulation and composition. This set of SSR markers may be a useful molecular tool in strawberry and raspberry breeding programs for improvement anthocyanin related traits.
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Affiliation(s)
- Vadim G. Lebedev
- Pushchino State Institute of Natural Sciences, Prospekt Nauki 3, 142290 Pushchino, Russia; (V.G.L.); (N.M.S.)
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospekt Nauki 6, 142290 Pushchino, Russia;
| | - Natalya M. Subbotina
- Pushchino State Institute of Natural Sciences, Prospekt Nauki 3, 142290 Pushchino, Russia; (V.G.L.); (N.M.S.)
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospekt Nauki 6, 142290 Pushchino, Russia;
| | - Oleg P. Maluchenko
- All-Russian Research Institute of Agricultural Biotechnology, Timiriazevskaya Str. 42, 127550 Moscow, Russia;
| | - Tatyana N. Lebedeva
- Institute of Physicochemical and Biological Problems of Soil Science, Russian Academy of Sciences, Institutskaya Str. 2, 142290 Pushchino, Russia;
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, Georg-August University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkin Str. 3, 119333 Moscow, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843-2138, USA
| | - Konstantin A. Shestibratov
- Branch of the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Prospekt Nauki 6, 142290 Pushchino, Russia;
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22
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Lu M, Krutovsky KV, Loopstra CA. Predicting Adaptive Genetic Variation of Loblolly Pine (Pinus taeda L.) Populations Under Projected Future Climates Based on Multivariate Models. J Hered 2019; 110:857-865. [DOI: 10.1093/jhered/esz065] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 10/25/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Greenhouse gas emission and global warming are likely to cause rapid climate change within the natural range of loblolly pine over the next few decades, thus bringing uncertainty to their adaptation to the environment. Here, we studied adaptive genetic variation of loblolly pine and correlated genetic variation with bioclimatic variables using multivariate modeling methods—Redundancy Analysis, Generalized Dissimilarity Modeling, and Gradient Forests. Studied trees (N = 299) were originally sampled from their native range across eight states on the east side of the Mississippi River. Genetic variation was calculated using a total of 44,317 single-nucleotide polymorphisms acquired by exome target sequencing. The fitted models were used to predict the adaptive genetic variation on a large spatial and temporal scale. We observed east-to-west spatial genetic variation across the range, which presented evidence of isolation by distance. Different key factors drive adaptation of loblolly pine from different geographical regions. Trees residing near the northeastern edge of the range, spanning across Delaware and Maryland and mountainous areas of Virginia, North Carolina, South Carolina, and northern Georgia, were identified to be most likely impacted by climate change based on the large difference in genetic composition under current and future climate conditions. This study provides new perspectives on adaptive genetic variation of loblolly pine in response to different climate scenarios, and the results can be used to target particular populations while developing adaptive forest management guidelines.
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Affiliation(s)
- Mengmeng Lu
- Department of Biological Sciences, University of Calgary, Calgary, Canada
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August-University of Göttingen, Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX
- Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, TX
| | - Carol A Loopstra
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX
- Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, TX
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23
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Carneiro de Melo Moura C, Brambach F, Jair Hernandez Bado K, Krutovsky KV, Kreft H, Tjitrosoedirdjo SS, Siregar IZ, Gailing O. Integrating DNA Barcoding and Traditional Taxonomy for the Identification of Dipterocarps in Remnant Lowland Forests of Sumatra. Plants (Basel) 2019; 8:plants8110461. [PMID: 31671512 PMCID: PMC6918277 DOI: 10.3390/plants8110461] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 10/07/2019] [Accepted: 10/17/2019] [Indexed: 11/16/2022]
Abstract
DNA barcoding has been used as a universal tool for phylogenetic inferences and diversity assessments, especially in poorly studied species and regions. The aim of this study was to contrast morphological taxonomy and DNA barcoding, using the three frequently used markers matK, rbcL, and trnL-F, to assess the efficiency of DNA barcoding in the identification of dipterocarps in Sumatra, Indonesia. The chloroplast gene matK was the most polymorphic among these three markers with an average interspecific genetic distance of 0.020. The results of the molecular data were mostly in agreement with the morphological identification for the clades of Anthoshorea, Hopea, Richetia, Parashorea, and Anisoptera, nonetheless these markers were inefficient to resolve the relationships within the Rubroshorea group. The maximum likelihood and Bayesian inference phylogenies identified Shorea as a paraphyletic genus, Anthoshorea appeared as sister to Hopea, and Richetia was sister to Parashorea. A better discriminatory power among dipterocarp species provided by matK and observed in our study suggests that this marker has a higher evolutionary rate than the other two markers tested. However, a combination of several different barcoding markers is essential for reliable identification of the species at a lower taxonomic level.
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Affiliation(s)
- Carina Carneiro de Melo Moura
- Department of Forest Genetics and Forest Tree Breeding, University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany.
| | - Fabian Brambach
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany.
| | - Kevin Jair Hernandez Bado
- Department of Forest Genetics and Forest Tree Breeding, University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany.
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany.
- Center for Integrated Breeding Research, University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany.
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkin Str., Moscow 119333, Russian.
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk 660036, Russia.
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843-2138, USA.
| | - Holger Kreft
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany.
| | | | - Iskandar Z Siregar
- Department of Silviculture, Faculty of Forestry, Bogor Agricultural University, Dramaga Campus, Bogor 16680, Indonesia.
| | - Oliver Gailing
- Department of Forest Genetics and Forest Tree Breeding, University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany.
- Center for Integrated Breeding Research, University of Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany.
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Kornienko IV, Faleeva TG, Oreshkova NV, Grigoriev SE, Grigorieva LV, Putintseva YA, Krutovsky KV. [Structural and Functional Organization of the Mitochondrial DNA Control Region in the Woolly Mammoth (Mammuthus primigenius)]. Mol Biol (Mosk) 2019; 53:627-637. [PMID: 31397436 DOI: 10.1134/s0026898419040062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 03/13/2019] [Indexed: 06/10/2023]
Abstract
The woolly mammoth mitochondrial genome (including the Malolyakhovsky mammoth) has been previously sequenced, followed by the annotation of all its genes (MF770243). In this study, based on the Malolyakhovsky mammoth, we describe for the first time the sites of functional significance in the control region of the woolly mammoth mitogenome.
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Affiliation(s)
- I V Kornienko
- Southern Scientific Centre, Russian Academy of Sciences, Rostov-on-Don, 344006 Russia
- Ivanovsky Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, 344090 Russia
| | - T G Faleeva
- Ivanovsky Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, 344090 Russia
- Branch No. 2 of the 111th Main State Center of Medical Forensic and Criminalistic Examinations, Ministry of Defense of the Russian Federation, Rostov-on-Don, 344000 Russia
| | - N V Oreshkova
- Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036 Russia
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036 Russia
- Laboratory of Genomic Research and Biotechnology, Federal Research Center Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, 660036 Russia
| | - S E Grigoriev
- Lazarev Mammoth Museum, Institute of Applied Ecology of the North, North-Eastern Federal University, Yakutsk, 677980 Russia
| | - L V Grigorieva
- International Common Use Center Molecular Paleontology, North-Eastern Federal University, Yakutsk, 677980 Russia
| | - Yu A Putintseva
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036 Russia
| | - K V Krutovsky
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036 Russia
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Gottingen, Gottingen, 37077 Germany
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991 Russia
- Department of Ecosystem Science and Management, Texas A and M University, College Station, TX 77843-2138 United States
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25
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Lu M, Loopstra CA, Krutovsky KV. Detecting the genetic basis of local adaptation in loblolly pine ( Pinus taeda L.) using whole exome-wide genotyping and an integrative landscape genomics analysis approach. Ecol Evol 2019; 9:6798-6809. [PMID: 31380016 PMCID: PMC6662259 DOI: 10.1002/ece3.5225] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/17/2019] [Accepted: 04/08/2019] [Indexed: 01/04/2023] Open
Abstract
In the Southern United States, the widely distributed loblolly pine contributes greatly to lumber and pulp production, as well as providing many important ecosystem services. Climate change may affect the productivity and range of loblolly pine. Nevertheless, we have insufficient knowledge of the adaptive potential and the genetics underlying the adaptability of loblolly pine. To address this, we tested the association of 2.8 million whole exome-based single nucleotide polymorphisms (SNPs) with climate and geographic variables, including temperature, precipitation, latitude, longitude, and elevation data. Using an integrative landscape genomics approach by combining multiple environmental association and outlier detection analyses, we identified 611 SNPs associated with 56 climate and geographic variables. Longitude, maximum temperature of the warm months and monthly precipitation associated with most SNPs, indicating their importance and complexity in shaping the genetic variation in loblolly pine. Functions of candidate genes related to terpenoid synthesis, pathogen defense, transcription factors, and abiotic stress response. We provided evidence that environment-associated SNPs also composed the genetic structure of adaptive phenotypic traits including height, diameter, metabolite levels, and gene transcript abundance. Our study promotes understanding of the genetic basis of local adaptation in loblolly pine and provides promising tools for selecting genotypes adapted to local environments in a changing climate.
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Affiliation(s)
- Mengmeng Lu
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
- Present address:
Department of Biological SciencesUniversity of CalgaryCalgaryAlbertaCanada
| | - Carol A. Loopstra
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
| | - Konstantin V. Krutovsky
- Department of Ecosystem Science and ManagementTexas A&M UniversityCollege StationTexas
- Molecular and Environmental Plant Sciences ProgramTexas A&M UniversityCollege StationTexas
- Department of Forest Genetics and Forest Tree BreedingGeorg‐August‐University of GöttingenGöttingenGermany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General GeneticsRussian Academy of SciencesMoscowRussia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and BiotechnologySiberian Federal UniversityKrasnoyarskRussia
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Semizer-Cuming D, Krutovsky KV, Baranchikov YN, Kjӕr ED, Williams CG. Saving the world's ash forests calls for international cooperation now. Nat Ecol Evol 2019; 3:141-144. [PMID: 30532045 DOI: 10.1038/s41559-018-0761-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Devrim Semizer-Cuming
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany. .,Forest, Nature and Biomass, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany.,Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation.,Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation.,Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, USA
| | - Yuri N Baranchikov
- Sukachev Institute of Forest FRC KSC of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
| | - Erik D Kjӕr
- Forest, Nature and Biomass, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Claire G Williams
- Department of Environmental Sciences, American University, Washington DC, USA.
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Kolesnikova AI, Putintseva YA, Simonov EP, Biriukov VV, Oreshkova NV, Pavlov IN, Sharov VV, Kuzmin DA, Anderson JB, Krutovsky KV. Mobile genetic elements explain size variation in the mitochondrial genomes of four closely-related Armillaria species. BMC Genomics 2019; 20:351. [PMID: 31068137 PMCID: PMC6506933 DOI: 10.1186/s12864-019-5732-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 04/24/2019] [Indexed: 12/03/2022] Open
Abstract
Background Species in the genus Armillaria (fungi, basidiomycota) are well-known as saprophytes and pathogens on plants. Many of them cause white-rot root disease in diverse woody plants worldwide. Mitochondrial genomes (mitogenomes) are widely used in evolutionary and population studies, but despite the importance and wide distribution of Armillaria, the complete mitogenomes have not previously been reported for this genus. Meanwhile, the well-supported phylogeny of Armillaria species provides an excellent framework in which to study variation in mitogenomes and how they have evolved over time. Results Here we completely sequenced, assembled, and annotated the circular mitogenomes of four species: A. borealis, A. gallica, A. sinapina, and A. solidipes (116,443, 98,896, 103,563, and 122,167 bp, respectively). The variation in mitogenome size can be explained by variable numbers of mobile genetic elements, introns, and plasmid-related sequences. Most Armillaria introns contained open reading frames (ORFs) that are related to homing endonucleases of the LAGLIDADG and GIY-YIG families. Insertions of mobile elements were also evident as fragments of plasmid-related sequences in Armillaria mitogenomes. We also found several truncated gene duplications in all four mitogenomes. Conclusions Our study showed that fungal mitogenomes have a high degree of variation in size, gene content, and genomic organization even among closely related species of Armillara. We suggest that mobile genetic elements invading introns and intergenic sequences in the Armillaria mitogenomes have played a significant role in shaping their genome structure. The mitogenome changes we describe here are consistent with widely accepted phylogenetic relationships among the four species. Electronic supplementary material The online version of this article (10.1186/s12864-019-5732-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anna I Kolesnikova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, 660036, Russia
| | - Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia
| | - Evgeniy P Simonov
- Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, 660036, Russia.,Institute of Animal Systematics and Ecology, Siberian Branch of Russian Academy of Sciences, 630091, Novosibirsk, Russia
| | - Vladislav V Biriukov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, 660036, Russia
| | - Natalya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, 660036, Russia.,Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Igor N Pavlov
- Laboratory of Reforestation, Mycology and Plant Pathology, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
| | - Vadim V Sharov
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Laboratory of Genomic Research and Biotechnology, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - Dmitry A Kuzmin
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, Russia.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russia
| | - James B Anderson
- Department of Biology, University of Toronto, Mississauga, ON, l5L 1C6, Canada
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, 660036, 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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Lebedev VG, Krutovsky KV, Shestibratov KA. …Fell Upas Sits, the Hydra-Tree of Death †, or the Phytotoxicity of Trees. Molecules 2019; 24:E1636. [PMID: 31027270 PMCID: PMC6514861 DOI: 10.3390/molecules24081636] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 04/22/2019] [Accepted: 04/23/2019] [Indexed: 12/21/2022] Open
Abstract
The use of natural products that can serve as natural herbicides and insecticides is a promising direction because of their greater safety for humans and environment. Secondary metabolites of plants that are toxic to plants and insects-allelochemicals-can be used as such products. Woody plants can produce allelochemicals, but they are studied much less than herbaceous species. Meanwhile, there is a problem of interaction of woody species with neighboring plants in the process of introduction or invasion, co-cultivation with agricultural crops (agroforestry) or in plantation forestry (multiclonal or multispecies plantations). This review describes woody plants with the greatest allelopathic potential, allelochemicals derived from them, and the prospects for their use as biopesticides. In addition, the achievement of and the prospects for the use of biotechnology methods in relation to the allelopathy of woody plants are presented and discussed.
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Affiliation(s)
- Vadim G Lebedev
- Forest Biotechnology Group, Branch of Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 6 Prospect Nauki, Pushchino, 142290 Moscow, Russia.
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany.
- Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Str. 3, 119991 Moscow, Russia.
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 50a/2 Akademgorodok, 660036 Krasnoyarsk, Russia.
- Department of Ecosystem Science and Management, Texas A&M University, 495 Horticulture Rd, College Station, TX 77843-2138, USA.
| | - Konstantin A Shestibratov
- Forest Biotechnology Group, Branch of Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 6 Prospect Nauki, Pushchino, 142290 Moscow, Russia.
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Bondar EI, Putintseva YA, Oreshkova NV, Krutovsky KV. Siberian larch (Larix sibirica Ledeb.) chloroplast genome and development of polymorphic chloroplast markers. BMC Bioinformatics 2019; 20:38. [PMID: 30717673 PMCID: PMC6362560 DOI: 10.1186/s12859-018-2571-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The main objectives of this study were sequencing, assembling, and annotation of chloroplast genome of one of the main Siberian boreal forest tree conifer species Siberian larch (Larix sibirica Ledeb.) and detection of polymorphic genetic markers - microsatellite loci or simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs). RESULTS We used the data of the whole genome sequencing of three Siberian larch trees from different regions - the Urals, Krasnoyarsk, and Khakassia, respectively. Sequence reads were obtained using the Illumina HiSeq2000 in the Laboratory of Forest Genomics at the Genome Research and Education Center of the Siberian Federal University. The assembling was done using the Bowtie2 mapping program and the SPAdes genomic assembler. The genome annotation was performed using the RAST service. We used the GMATo program for the SSRs search, and the Bowtie2 and UGENE programs for the SNPs detection. Length of the assembled chloroplast genome was 122,561 bp, which is similar to 122,474 bp in the closely related European larch (Larix decidua Mill.). As a result of annotation and comparison of the data with the existing data available only for three larch species - L. decidua, L. potaninii var. chinensis (complete genome 122,492 bp), and L. occidentalis (partial genome of 119,680 bp), we identified 110 genes, 34 of which represented tRNA, 4 rRNA, and 72 protein-coding genes. In total, 13 SNPs were detected; two of them were in the tRNA-Arg and Cell division protein FtsH genes, respectively. In addition, 23 SSR loci were identified. CONCLUSIONS The complete chloroplast genome sequence was obtained for Siberian larch for the first time. The reference complete chloroplast genomes, such as one described here, would greatly help in the chloroplast resequencing and search for additional genetic markers using population samples. The results of this research will be useful for further phylogenetic and gene flow studies in conifers.
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Affiliation(s)
- Eugeniya I Bondar
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russian Federation
| | - Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russian Federation
| | - Nataliya V Oreshkova
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russian Federation
- Laboratory of Forest Genetics and Selection, V.N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036, Krasnoyarsk, Russian Federation
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 660036, Krasnoyarsk, Russian Federation.
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, D-37077, Göttingen, Germany.
- Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333, Moscow, Russia.
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843-2138, USA.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Kryvokhyzha MV, Krutovsky KV, Rashydov NM. Differential expression of flowering genes in Arabidopsis thaliana under chronic and acute ionizing radiation. Int J Radiat Biol 2018; 95:626-634. [PMID: 30570374 DOI: 10.1080/09553002.2019.1562251] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE Chronic and acute irradiations have drastic effects on flowering stage that plays an important role in further seed development and can determine seed yield. The expression of the key flowering genes, AP1, CO, GI, FT, FLC, and LFY, sensitive to irradiation repair gene RAD51 and the proliferation gene PCNA2 were studied in the wild-type Arabidopsis thaliana (Columbia ecotype) under chronic and acute irradiations. MATERIALS AND METHODS Chronic irradiation was performed using the radioactive isotope 137СsCl in two total doses of 3 cGy and 17 cGy, with the dose rate of 10-7 cGy/s and 6.8 10-6 cGy/s, respectively. The plants were grown under chronic irradiation during 6 weeks, from seeds till the 6.3 stage of flowering. For acute exposure, the plants were X-ray irradiated one time at the 5.0 development stage (20 days old) by a total dose of 15 Gy with the dose rate of 89 cGy/s. RESULTS After chronic irradiation with the 3 cGy dose the irradiated plants demonstrated 8 ± 2.8 days earlier flowering than in the control group. However, at the 17 cGy chronic and at the 15 Gy acute doses plants showed 14 ± 3.7 and 2 ± 1.4 days later flowering, respectively. The 3 cGy chronic exposure significantly increased the expression of the CO gene by a factor of 1.152 (1.087-1.217 95% C.I.) and decreased the expression of the FT gene by a factor of 0.128 (0.021-0.396 95% C.I.). The 17 cGy chronic exposure decreased expression of the AP1 gene by a factor of 0.872 (0.803-0.940 95% C.I.) and the LFY gene by a factor of 0.471 (0.306-0.687 95% C.I.). The 15 Gy acute exposure decreased the expression of the AP1 gene by a factor of 0.104 (0.074-0.144 95% C.I.) and the PCNA2 gene by a factor of 0.346 (0.238-0.488 95% C.I.). CONCLUSIONS The increased expression of the CO gene and decreased expression of the AP1 and FT genes under the lower dose of chronic exposure were associated with earlier flowering. The acute exposure increased the expression of the PCNA2 gene and decreased the expression of the flowering genes, except AP1. The flowering was delayed under both the higher dose of chronic exposure and under acute exposure, but it was less affected by the latter. Presumably, it was related to the activation of DNA repair under the 3 cGy chronic and 15 Gy acute irradiations.
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Affiliation(s)
- Maryna V Kryvokhyzha
- a Institute of Cell Biology and Genetic Engineering , National Academy of Sciences of Ukraine , Kiev , Ukraine
| | - Konstantin V Krutovsky
- b Department of Forest Genetics and Forest Tree Breeding , Georg-August University of Göttingen , Göttingen , Germany.,c Vavilov Institute of General Genetics , Russian Academy of Sciences , Moscow , Russia.,d Genome Research and Education Center , Siberian Federal University , Krasnoyarsk , Russia.,e Department of Ecosystem Science and Management , Texas A&M University , College Station , TX , USA
| | - Namik M Rashydov
- a Institute of Cell Biology and Genetic Engineering , National Academy of Sciences of Ukraine , Kiev , Ukraine
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Lu M, Seeve CM, Loopstra CA, Krutovsky KV. Exploring the genetic basis of gene transcript abundance and metabolite levels in loblolly pine (Pinus taeda L.) using association mapping and network construction. BMC Genet 2018; 19:100. [PMID: 30400815 PMCID: PMC6219081 DOI: 10.1186/s12863-018-0687-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 10/26/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Identifying genetic variations that shape important complex traits is fundamental to the genetic improvement of important forest tree species, such as loblolly pine (Pinus taeda L.), which is one of the most commonly planted forest tree species in the southern U.S. Gene transcripts and metabolites are important regulatory intermediates that link genetic variations to higher-order complex traits such as wood development and drought response. A few prior studies have associated intermediate phenotypes including mRNA expression and metabolite levels with a limited number of molecular markers, but the identification of genetic variations that regulate intermediate phenotypes needs further investigation. RESULTS We identified 1841 single nucleotide polymorphisms (SNPs) associated with 191 gene expression mRNA phenotypes and 524 SNPs associated with 53 metabolite level phenotypes using 2.8 million exome-derived SNPs. The identified SNPs reside in genes with a wide variety of functions. We further integrated the identified SNPs and the associated expressed genes and metabolites into networks. We described the SNP-SNP interactions that significantly impacted the gene transcript abundance and metabolite level in the networks. Key loci and genes in the wood development and drought response networks were identified and analyzed. CONCLUSIONS This work provides new candidate genes for research on the genetic basis of gene expression and metabolism linked to wood development and drought response in loblolly pine and highlights the efficiency of using association-mapping-based networks to discover candidate genes with important roles in complex biological processes.
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Affiliation(s)
- Mengmeng Lu
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA.,Department of Biological Sciences, University of Calgary, 507 Campus Drive NW, Calgary, AB, T2N 4S8, Canada
| | | | - Carol A Loopstra
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA
| | - Konstantin V Krutovsky
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA. .,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany. .,Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Str. 3, Moscow, 119333, Russia. .,Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk, 660036, Russia.
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Kornienko IV, Faleeva TG, Oreshkova NV, Grigoriev SE, Grigoreva LV, Simonov EP, Kolesnikova AI, Putintseva YA, Krutovsky KV. Complete mitochondrial genome of a woolly mammoth ( Mammuthus primigenius) from Maly Lyakhovsky Island (New Siberian Islands, Russia) and its phylogenetic assessment. Mitochondrial DNA B Resour 2018; 3:596-598. [PMID: 33474257 PMCID: PMC7800944 DOI: 10.1080/23802359.2018.1473721] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
We present a complete sequence and an annotation of the mitochondrial genome of the woolly mammoth (Mammuthus primigenius) found in 2012 on Maly Lyakhovsky Island (North-Eastern Siberia, Russia). The genome was 16,851 bp long and contained 13 protein-coding, 22 tRNA, and 2 rRNA genes. It was AT reach (61.3%) with A = 32.9%, T = 28.4%, C = 25.3%, and G = 13.4%.
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Affiliation(s)
- Igor V Kornienko
- Department of Strategic Research, Southern Scientific Centre, Russian Academy of Sciences, Rostov-on-Don, Russian Federation.,Laboratory of Biological Objects Identification, Southern Federal University, Rostov-on-Don, Russian Federation
| | - Tatiana G Faleeva
- Department of Forensic Medicine, Mechnikov North-Western State Medical University, Russian Federation
| | - Natalia V Oreshkova
- Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russian Federation.,Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation
| | - Semyon E Grigoriev
- Institute of Applied Ecology of the North, North-Eastern Federal University, Yakutsk, Russian Federation
| | - Lena V Grigoreva
- Institute of Applied Ecology of the North, North-Eastern Federal University, Yakutsk, Russian Federation
| | - Evgeniy P Simonov
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation
| | - Anna I Kolesnikova
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation
| | - Yuliya A Putintseva
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation
| | - Konstantin V Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation.,Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, Germany.,Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation.,Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, USA
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Moskalev AА, Kudryavtseva AV, Graphodatsky AS, Beklemisheva VR, Serdyukova NA, Krutovsky KV, Sharov VV, Kulakovskiy IV, Lando AS, Kasianov AS, Kuzmin DA, Putintseva YA, Feranchuk SI, Shaposhnikov MV, Fraifeld VE, Toren D, Snezhkina AV, Sitnik VV. De novo assembling and primary analysis of genome and transcriptome of gray whale Eschrichtius robustus. BMC Evol Biol 2017; 17:258. [PMID: 29297306 PMCID: PMC5751776 DOI: 10.1186/s12862-017-1103-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background Gray whale, Eschrichtius robustus (E. robustus), is a single member of the family Eschrichtiidae, which is considered to be the most primitive in the class Cetacea. Gray whale is often described as a “living fossil”. It is adapted to extreme marine conditions and has a high life expectancy (77 years). The assembly of a gray whale genome and transcriptome will allow to carry out further studies of whale evolution, longevity, and resistance to extreme environment. Results In this work, we report the first de novo assembly and primary analysis of the E. robustus genome and transcriptome based on kidney and liver samples. The presented draft genome assembly is complete by 55% in terms of a total genome length, but only by 24% in terms of the BUSCO complete gene groups, although 10,895 genes were identified. Transcriptome annotation and comparison with other whale species revealed robust expression of DNA repair and hypoxia-response genes, which is expected for whales. Conclusions This preliminary study of the gray whale genome and transcriptome provides new data to better understand the whale evolution and the mechanisms of their adaptation to the hypoxic conditions. Electronic supplementary material The online version of this article (doi: 10.1186/s12862-017-1103-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alexey А Moskalev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation. .,Institute of Biology of Komi Science Center of Ural Branch of RAS, Syktyvkar, 167982, Russian Federation.
| | - Anna V Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
| | - Alexander S Graphodatsky
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, 630090, Russian Federation.,Novosibirsk State University, Novosibirsk, 630090, Russian Federation
| | | | - Natalya A Serdyukova
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, 630090, Russian Federation
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Göttingen, 37077, Germany.,Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russian Federation.,Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation.,Department of Ecosystem Science and Management, Texas A&M University, College Station, 77843-2138, TX, USA
| | - Vadim V Sharov
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russian Federation
| | - Ivan V Kulakovskiy
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation.,Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russian Federation.,Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
| | - Andrey S Lando
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russian Federation
| | - Artem S Kasianov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russian Federation.,Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
| | - Dmitry A Kuzmin
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation.,Department of High Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660074, Russian Federation
| | - Yuliya A Putintseva
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation
| | - Sergey I Feranchuk
- Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, 660036, Russian Federation.,Irkutsk National Research Technical University, Irkutsk, 664074, Russian Federation.,Limnological Institute, Siberian Branch of Russian Academy of Sciences, Irkutsk, 664033, Russian Federation
| | - Mikhail V Shaposhnikov
- Institute of Biology of Komi Science Center of Ural Branch of RAS, Syktyvkar, 167982, Russian Federation
| | - Vadim E Fraifeld
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel
| | - Dmitri Toren
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel
| | - Anastasia V Snezhkina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
| | - Vasily V Sitnik
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, 143026, Russia
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Johnson JS, Gaddis KD, Cairns DM, Konganti K, Krutovsky KV. Landscape genomic insights into the historic migration of mountain hemlock in response to Holocene climate change. Am J Bot 2017; 104:439-450. [PMID: 28325831 DOI: 10.3732/ajb.1600262] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 02/17/2017] [Indexed: 06/06/2023]
Abstract
PREMISE OF THE STUDY Untangling alternative historic dispersal pathways in long-lived tree species is critical to better understand how temperate tree species may respond to climatic change. However, disentangling these alternative pathways is often difficult. Emerging genomic technologies and landscape genetics techniques improve our ability to assess these pathways in natural systems. We address the question to what degree have microrefugial patches and long-distance dispersal been responsible for the colonization of mountain hemlock (Tsuga mertensiana) on the Alaskan Kenai Peninsula. METHODS We used double-digest restriction-associated DNA sequencing (ddRADseq) to identify genetic variants across eight mountain hemlock sample sites on the Kenai Peninsula, Alaska. We assessed genetic diversity and linkage disequilibrium using landscape and population genetics approaches. Alternative historic dispersal pathways were assessed using discriminant analysis of principle components and electrical circuit theory. KEY RESULTS A combination of decreasing diversity, high gene flow, and landscape connectivity indicates that mountain hemlock colonization on the Kenai Peninsula is the result of long-distance dispersal. We found that contemporary climate best explained gene flow patterns and that isolation by resistance was a better model explaining genetic variation than isolation by distance. CONCLUSIONS Our findings support the conclusion that mountain hemlock colonization is the result of several long-distance dispersal events following Pleistocene glaciation. The high dispersal capability suggests that mountain hemlock may be able to respond to future climate change and expand its range as new habitat opens along its northern distribution.
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Affiliation(s)
- Jeremy S Johnson
- Department of Geography, Texas A&M University, 810 Eller O&M Building, MS 3147 TAMU, College Station, Texas 77843-3147 USA
| | - Keith D Gaddis
- Department of Geography, Texas A&M University, 810 Eller O&M Building, MS 3147 TAMU, College Station, Texas 77843-3147 USA
| | - David M Cairns
- Department of Geography, Texas A&M University, 810 Eller O&M Building, MS 3147 TAMU, College Station, Texas 77843-3147 USA
| | - Kranti Konganti
- Texas A&M Institute for Genome Sciences and Society, Texas A&M University Veterinary Medical Research Building, MS 2470 TAMU, College Station, Texas 77433-2470 USA
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany
- Department of Ecosystem Science & Management, Texas A&M University, 305 Horticulture and Forest Science Building, MS 2138 TAMU, College Station, Texas 77843-2138 USA
- N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina Str., Moscow 119333, Russia
- Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk 660036, Russia
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Johnson JS, Gaddis KD, Cairns DM, Krutovsky KV. Seed dispersal at alpine treeline: an assessment of seed movement within the alpine treeline ecotone. Ecosphere 2017. [DOI: 10.1002/ecs2.1649] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Jeremy S. Johnson
- Department of Geography Texas A&M University 810 Eller O&M Building, MS 3147 TAMU College Station Texas 77843 USA
| | - Keith D. Gaddis
- Department of Geography Texas A&M University 810 Eller O&M Building, MS 3147 TAMU College Station Texas 77843 USA
| | - David M. Cairns
- Department of Geography Texas A&M University 810 Eller O&M Building, MS 3147 TAMU College Station Texas 77843 USA
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Tree Breeding Georg‐August University of Göttingen Büsgenweg 2 D‐37077 Göttingen Germany
- Department of Ecosystem Science & Management Texas A&M University 305 Horticulture and Forest Science Building, MS 2138 TAMU College Station Texas 77843 USA
- N. I. Vavilov Institute of General Genetics Russian Academy of Sciences 3 Gubkina Street Moscow 119333 Russia
- Genome Research and Education Center Siberian Federal University 50a/2 Akademgorodok Krasnoyarsk 660036 Russia
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Lu M, Krutovsky KV, Nelson CD, Koralewski TE, Byram TD, Loopstra CA. Erratum to: Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.). BMC Genomics 2016; 17:869. [PMID: 27814686 PMCID: PMC5097424 DOI: 10.1186/s12864-016-3220-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 10/28/2016] [Indexed: 11/10/2022] Open
Affiliation(s)
- Mengmeng Lu
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA
| | - Konstantin V Krutovsky
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA. .,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August-University of Göttingen, Göttingen, 37077, Germany. .,N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Str, Moscow, 119333, Russia. .,Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk, 660036, Russia.
| | - C Dana Nelson
- USDA Forest Service, Southern Research Station, Southern Institute of Forest Genetics, 23332 Success Road, Saucier, MS, 39574, USA.,University of Kentucky, Forest Health Research and Education Center, 730 Rose Street, Lexington, KY, 40546, USA
| | - Tomasz E Koralewski
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA
| | - Thomas D Byram
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Texas A&M Forest Service, 2585 TAMU, College Station, TX, 77843-2585, USA
| | - Carol A Loopstra
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA
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Lu M, Krutovsky KV, Nelson CD, Koralewski TE, Byram TD, Loopstra CA. Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.). BMC Genomics 2016; 17:730. [PMID: 27624183 PMCID: PMC5022155 DOI: 10.1186/s12864-016-3081-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Accepted: 09/09/2016] [Indexed: 01/06/2023] Open
Abstract
Background Loblolly pine (Pinus taeda L.) is one of the most widely planted and commercially important forest tree species in the USA and worldwide, and is an object of intense genomic research. However, whole genome resequencing in loblolly pine is hampered by its large size and complexity and a lack of a good reference. As a valid and more feasible alternative, entire exome sequencing was hence employed to identify the gene-associated single nucleotide polymorphisms (SNPs) and to genotype the sampled trees. Results The exons were captured in the ADEPT2 association mapping population of 375 clonally-propagated loblolly pine trees using NimbleGen oligonucleotide hybridization probes, and then exome-enriched genomic DNA fragments were sequenced using the Illumina HiSeq 2500 platform. Oligonucleotide probes were designed based on 199,723 exons (≈49 Mbp) partitioned from the loblolly pine reference genome (PineRefSeq v. 1.01). The probes covered 90.2 % of the target regions. Capture efficiency was high; on average, 67 % of the sequence reads generated for each tree could be mapped to the capture target regions, and more than 70 % of the captured target bases had at least 10X sequencing depth per tree. A total of 972,720 high quality SNPs were identified after filtering. Among them, 53 % were located in coding regions (CDS), 5 % in 5’ or 3’ untranslated regions (UTRs) and 42 % in non-target and non-coding regions, such as introns and adjacent intergenic regions collaterally captured. We found that linkage disequilibrium (LD) decayed very rapidly, with the correlation coefficient (r2) between pairs of SNPs linked within single scaffolds decaying to half maximum (r2 = 0.22) within 55 bp, to r2 = 0.1 within 192 bp, and to r2 = 0.05 within 451 bp. Population structure analysis using unlinked SNPs demonstrated the presence of two main distinct clusters representing western and eastern parts of the loblolly pine range included in our sample of trees. Conclusions The obtained results demonstrated the efficiency of exome capture for genotyping species such as loblolly pine with a large and complex genome. The highly diverse genetic variation reported in this study will be a valuable resource for future genetic and genomic research in loblolly pine. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3081-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mengmeng Lu
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA
| | - Konstantin V Krutovsky
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA. .,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA. .,Department of Forest Genetics and Forest Tree Breeding, Georg-August-University of Göttingen, Göttingen, 37077, Germany. .,N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Str, Moscow, 119333, Russia. .,Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk, 660036, Russia.
| | - C Dana Nelson
- USDA Forest Service, Southern Research Station, Southern Institute of Forest Genetics, 23332 Success Road, Saucier, MS, 39574, USA.,University of Kentucky, Forest Health Research and Education Center, 730 Rose Street, Lexington, KY, 40546, USA
| | - Tomasz E Koralewski
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA
| | - Thomas D Byram
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Texas A&M Forest Service, 2585 TAMU, College Station, TX, 77843-2585, USA
| | - Carol A Loopstra
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.,Molecular and Environmental Plant Sciences Program, Texas A&M University, 2474 TAMU, College Station, TX, 77843-2474, USA
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Koralewski TE, Mateos M, Krutovsky KV. Conflicting genomic signals affect phylogenetic inference in four species of North American pines. AoB Plants 2016; 8:plw019. [PMID: 27060161 PMCID: PMC4866652 DOI: 10.1093/aobpla/plw019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 03/19/2016] [Indexed: 05/14/2023]
Abstract
Adaptive evolutionary processes in plants may be accompanied by episodes of introgression, parallel evolution and incomplete lineage sorting that pose challenges in untangling species evolutionary history. Genus Pinus (pines) is one of the most abundant and most studied groups among gymnosperms, and a good example of a lineage where these phenomena have been observed. Pines are among the most ecologically and economically important plant species. Some, such as the pines of the southeastern USA (southern pines in subsection Australes), are subjects of intensive breeding programmes. Despite numerous published studies, the evolutionary history of Australes remains ambiguous and often controversial. We studied the phylogeny of four major southern pine species: shortleaf (Pinus echinata), slash (P. elliottii), longleaf (P. palustris) and loblolly (P. taeda), using sequences from 11 nuclear loci and maximum likelihood and Bayesian methods. Our analysis encountered resolution difficulties similar to earlier published studies. Although incomplete lineage sorting and introgression are two phenomena presumptively underlying our results, the phylogenetic inferences seem to be also influenced by the genes examined, with certain topologies supported by sets of genes sharing common putative functionalities. For example, genes involved in wood formation supported the clade echinata-taeda, genes linked to plant defence supported the clade echinata-elliottii and genes linked to water management properties supported the clade echinata-palustris The support for these clades was very high and consistent across methods. We discuss the potential factors that could underlie these observations, including incomplete lineage sorting, hybridization and parallel or adaptive evolution. Our results likely reflect the relatively short evolutionary history of the subsection that is thought to have begun during the middle Miocene and has been influenced by climate fluctuations.
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Affiliation(s)
- Tomasz E Koralewski
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843-2138, USA
| | - Mariana Mateos
- Department of Wildlife and Fisheries Sciences, Texas A&M University, 2258 TAMU, College Station, TX 77843-2258, USA
| | - Konstantin V Krutovsky
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843-2138, USA Department of Forest Genetics and Forest Tree Breeding, Büsgen-Institute, Georg-August University of Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk 660036, Russia
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Semerikov VL, Putintseva YA, Oreshkova NV, Semerikova SA, Krutovsky KV. [Development of New Mitochondrial DNA Markers in Scots Pine (Pinus sylvestris L.) for Population Genetic and Phylogeographic Studies]. Genetika 2015; 51:1386-1390. [PMID: 27055298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Fragments of genomic DNA of Scots pine (Pinus sylvestris L.) homologous to the mitochondrial DNA (mtDNA) contigs of Norway spruce (Picea abies (L.) Karst.) and loblolly pine (Pinus taeda L.) were resequenced in a sample of the Scots pine trees of European, Siberian, Mongolian and Caucasian origin in order to develop mtDNA markers. Flanking non-coding regions of some mitochondrial genes were also investigated and resequenced. Five single nucleotide polymorphisms (SNPs) and a single minisatellite locus were identified. Caucasian samples differed from the rest by three SNPs. Two SNPs have been linked to an early described marker in.the first intron of the nad7 gene, and all together revealed three haplotypes in European populations. No variable SNPs were found in the Siberian and Mongolian populations. The minisatellite locus contained 41 alleles across European, Siberian and Mongolian populations, but, this locus demonstrated a weak population differentiation (F(ST) = 0.058), probably due to its high mutation rate.
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Dasgupta MG, Dharanishanthi V, Agarwal I, Krutovsky KV. Development of genetic markers in Eucalyptus species by target enrichment and exome sequencing. PLoS One 2015; 10:e0116528. [PMID: 25602379 PMCID: PMC4300219 DOI: 10.1371/journal.pone.0116528] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 12/08/2014] [Indexed: 02/02/2023] Open
Abstract
The advent of next-generation sequencing has facilitated large-scale discovery, validation and assessment of genetic markers for high density genotyping. The present study was undertaken to identify markers in genes supposedly related to wood property traits in three Eucalyptus species. Ninety four genes involved in xylogenesis were selected for hybridization probe based nuclear genomic DNA target enrichment and exome sequencing. Genomic DNA was isolated from the leaf tissues and used for on-array probe hybridization followed by Illumina sequencing. The raw sequence reads were trimmed and high-quality reads were mapped to the E. grandis reference sequence and the presence of single nucleotide variants (SNVs) and insertions/ deletions (InDels) were identified across the three species. The average read coverage was 216X and a total of 2294 SNVs and 479 InDels were discovered in E. camaldulensis, 2383 SNVs and 518 InDels in E. tereticornis, and 1228 SNVs and 409 InDels in E. grandis. Additionally, SNV calling and InDel detection were conducted in pair-wise comparisons of E. tereticornis vs. E. grandis, E. camaldulensis vs. E. tereticornis and E. camaldulensis vs. E. grandis. This study presents an efficient and high throughput method on development of genetic markers for family– based QTL and association analysis in Eucalyptus.
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Affiliation(s)
- Modhumita Ghosh Dasgupta
- Division of Plant Biotechnology, Institute of Forest Genetics and Tree Breeding, P.B. No. 1061, R.S. Puram, Coimbatore–641002, India
- * E-mail:
| | - Veeramuthu Dharanishanthi
- Division of Plant Biotechnology, Institute of Forest Genetics and Tree Breeding, P.B. No. 1061, R.S. Puram, Coimbatore–641002, India
| | - Ishangi Agarwal
- Genotypic Technology Private Limited, #2/13, Balaji Complex, Poojari Layout, 80, Feet Road, R. M. V. 2nd Stage, Bangalore-560094, India
| | - Konstantin V. Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Büsgen Institute, Georg August University of Göttingen, Büsgenweg 2, D-37077 Göttingen, Germany
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843-2138, United States of America
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia
- Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk 660036, Russia
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Echt CS, Saha S, Krutovsky KV, Wimalanathan K, Erpelding JE, Liang C, Nelson CD. An annotated genetic map of loblolly pine based on microsatellite and cDNA markers. BMC Genet 2011; 12:17. [PMID: 21269494 PMCID: PMC3038140 DOI: 10.1186/1471-2156-12-17] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2010] [Accepted: 01/26/2011] [Indexed: 12/21/2022] Open
Abstract
Background Previous loblolly pine (Pinus taeda L.) genetic linkage maps have been based on a variety of DNA polymorphisms, such as AFLPs, RAPDs, RFLPs, and ESTPs, but only a few SSRs (simple sequence repeats), also known as simple tandem repeats or microsatellites, have been mapped in P. taeda. The objective of this study was to integrate a large set of SSR markers from a variety of sources and published cDNA markers into a composite P. taeda genetic map constructed from two reference mapping pedigrees. A dense genetic map that incorporates SSR loci will benefit complete pine genome sequencing, pine population genetics studies, and pine breeding programs. Careful marker annotation using a variety of references further enhances the utility of the integrated SSR map. Results The updated P. taeda genetic map, with an estimated genome coverage of 1,515 cM(Kosambi) across 12 linkage groups, incorporated 170 new SSR markers and 290 previously reported SSR, RFLP, and ESTP markers. The average marker interval was 3.1 cM. Of 233 mapped SSR loci, 84 were from cDNA-derived sequences (EST-SSRs) and 149 were from non-transcribed genomic sequences (genomic-SSRs). Of all 311 mapped cDNA-derived markers, 77% were associated with NCBI Pta UniGene clusters, 67% with RefSeq proteins, and 62% with functional Gene Ontology (GO) terms. Duplicate (i.e., redundant accessory) and paralogous markers were tentatively identified by evaluating marker sequences by their UniGene cluster IDs, clone IDs, and relative map positions. The average gene diversity, He, among polymorphic SSR loci, including those that were not mapped, was 0.43 for 94 EST-SSRs and 0.72 for 83 genomic-SSRs. The genetic map can be viewed and queried at http://www.conifergdb.org/pinemap. Conclusions Many polymorphic and genetically mapped SSR markers are now available for use in P. taeda population genetics, studies of adaptive traits, and various germplasm management applications. Annotating mapped genes with UniGene clusters and GO terms allowed assessment of redundant and paralogous EST markers and further improved the quality and utility of the genetic map for P. taeda.
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Affiliation(s)
- Craig S Echt
- Southern Institute of Forest Genetics, Southern Research Station, USDA Forest Service, Saucier, MS 39574, USA.
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Eckert AJ, Bower AD, Wegrzyn JL, Pande B, Jermstad KD, Krutovsky KV, St Clair JB, Neale DB. Association genetics of coastal Douglas fir (Pseudotsuga menziesii var. menziesii, Pinaceae). I. Cold-hardiness related traits. Genetics 2009; 182:1289-302. [PMID: 19487566 PMCID: PMC2728866 DOI: 10.1534/genetics.109.102350] [Citation(s) in RCA: 171] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2009] [Accepted: 05/20/2009] [Indexed: 01/18/2023] Open
Abstract
Adaptation to cold is one of the greatest challenges to forest trees. This process is highly synchronized with environmental cues relating to photoperiod and temperature. Here, we use a candidate gene-based approach to search for genetic associations between 384 single-nucleotide polymorphism (SNP) markers from 117 candidate genes and 21 cold-hardiness related traits. A general linear model approach, including population structure estimates as covariates, was implemented for each marker-trait pair. We discovered 30 highly significant genetic associations [false discovery rate (FDR) Q < 0.10] across 12 candidate genes and 10 of the 21 traits. We also detected a set of 7 markers that had elevated levels of differentiation between sampling sites situated across the Cascade crest in northeastern Washington. Marker effects were small (r(2) < 0.05) and within the range of those published previously for forest trees. The derived SNP allele, as measured by a comparison to a recently diverged sister species, typically affected the phenotype in a way consistent with cold hardiness. The majority of markers were characterized as having largely nonadditive modes of gene action, especially underdominance in the case of cold-tolerance related phenotypes. We place these results in the context of trade-offs between the abilities to grow longer and to avoid fall cold damage, as well as putative epigenetic effects. These associations provide insight into the genetic components of complex traits in coastal Douglas fir, as well as highlight the need for landscape genetic approaches to the detection of adaptive genetic diversity.
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Affiliation(s)
- Andrew J Eckert
- Section of Evolution and Ecology, University of California, Davis, 95616, USA
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Abstract
Forest trees have gained much attention in recent years as nonclassical model eukaryotes for population, evolutionary and ecological genomic studies. Because of low domestication, large open-pollinated native populations, and high levels of both genetic and phenotypic variation, they are ideal organisms to unveil the molecular basis of population adaptive divergence in nature. Population genomics, in its broad-sense definition, is an emerging discipline that combines genome-wide sampling with traditional population genetic approaches to understanding evolution. Here we briefly review traditional methods of studying adaptive genetic variation in forest trees, and describe a new, integrated population genomics approach. First, alleles (haplotypes) at candidate genes for adaptive traits and their effects on phenotypes need to be characterized via sequencing and association mapping. At this stage, functional genomics can assist in understanding gene action and regulation by providing detailed transcriptional profiles. Second, frequencies of alleles in native populations for causative single-nucleotide polymorphisms are estimated to identify patterns of adaptive variation across heterogeneous environments. Population genomics, through deciphering allelic effects on phenotypes and identifying patterns of adaptive variation at the landscape level, will in the future constitute a useful tool, if cost-effective, to design conservation strategies for forest trees.
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Krutovsky KV, Neale DB. Nucleotide diversity and linkage disequilibrium in cold-hardiness- and wood quality-related candidate genes in Douglas fir. Genetics 2005; 171:2029-41. [PMID: 16157674 PMCID: PMC1456123 DOI: 10.1534/genetics.105.044420] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2005] [Accepted: 08/29/2005] [Indexed: 11/18/2022] Open
Abstract
Nuclear sequence variation and linkage disequilibrium (LD) were studied in 15 cold-hardiness- and 3 wood quality-related candidate genes in Douglas fir [Pseudotsuga menziesii (Mirb.) Franco]. This set of genes was selected on the basis of its function in other plants and collocation with cold-hardiness-related quantitative trait loci (QTL). The single-nucleotide polymorphism (SNP) discovery panel represented 24 different trees from six regions in Washington and Oregon plus parents of a segregating population used in the QTL study. The frequency of SNPs was one SNP per 46 bp across coding and noncoding regions on average. Haplotype and nucleotide diversities were also moderately high with H(d) = 0.827 +/- 0.043 and pi = 0.00655 +/- 0.00082 on average, respectively. The nonsynonymous (replacement) nucleotide substitutions were almost five times less frequent than synonymous ones and substitutions in noncoding regions. LD decayed relatively slowly but steadily within genes. Haploblock analysis was used to define haplotype tag SNPs (htSNPs). These data will help to select SNPs for association mapping, which is already in progress.
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Affiliation(s)
- Konstantin V Krutovsky
- Institute of Forest Genetics, Pacific Southwest Research Station, US Department of Agriculture Forest Service, Davis, CA 95616, USA
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Abstract
A comparative genetic map was constructed between two important genera of the family Pinaceae. Ten homologous linkage groups in loblolly pine (Pinus taeda L.) and Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) were identified using orthologous expressed sequence tag polymorphism (ESTP) and restriction fragment length polymorphism (RFLP) markers. The comparative mapping revealed extensive synteny and colinearity between genomes of the Pinaceae, consistent with the hypothesis of conservative chromosomal evolution in this important plant family. This study reports the first comparative map in forest trees at the family taxonomic level and establishes a framework for comparative genomics in Pinaceae.
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Affiliation(s)
- Konstantin V Krutovsky
- Institute of Forest Genetics, Pacific Southwest Research Station, US Department of Agriculture Forest Service, Davis, California 95616, USA
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