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Montero-Tena JA, Abdollahi Sisi N, Kox T, Abbadi A, Snowdon RJ, Golicz AA. haploMAGIC: accurate phasing and detection of recombination in multiparental populations despite genotyping errors. G3 (BETHESDA, MD.) 2024; 14:jkae109. [PMID: 38808682 PMCID: PMC11304941 DOI: 10.1093/g3journal/jkae109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 02/12/2024] [Accepted: 05/08/2024] [Indexed: 05/30/2024]
Abstract
Recombination is a key mechanism in breeding for promoting genetic variability. Multiparental populations (MPPs) constitute an excellent platform for precise genotype phasing, identification of genome-wide crossovers (COs), estimation of recombination frequencies, and construction of recombination maps. Here, we introduce haploMAGIC, a pipeline to detect COs in MPPs with single-nucleotide polymorphism (SNP) data by exploiting the pedigree relationships for accurate genotype phasing and inference of grandparental haplotypes. haploMAGIC applies filtering to prevent false-positive COs due to genotyping errors (GEs), a common problem in high-throughput SNP analysis of complex plant genomes. Hence, it discards haploblocks not reaching a specified minimum number of informative alleles. A performance analysis using populations simulated with AlphaSimR revealed that haploMAGIC improves upon existing methods of CO detection in terms of recall and precision, most notably when GE rates are high. Furthermore, we constructed recombination maps using haploMAGIC with high-resolution genotype data from 2 large multiparental populations of winter rapeseed (Brassica napus). The results demonstrate the applicability of the pipeline in real-world scenarios and showed good correlations in recombination frequency compared with alternative software. Therefore, we propose haploMAGIC as an accurate tool at CO detection with MPPs that shows robustness against GEs.
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Affiliation(s)
- Jose A Montero-Tena
- Department of Agrobioinformatics, IFZ Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich Buff Ring 26, 35392 Giessen, Germany
| | - Nayyer Abdollahi Sisi
- Department of Plant Breeding, IFZ Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich Buff Ring 26, 35392 Giessen, Germany
| | - Tobias Kox
- NPZ Innovation GmbH, Hohenlieth-Hof, 24363 Holtsee, Germany
| | - Amine Abbadi
- NPZ Innovation GmbH, Hohenlieth-Hof, 24363 Holtsee, Germany
| | - Rod J Snowdon
- Department of Plant Breeding, IFZ Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich Buff Ring 26, 35392 Giessen, Germany
| | - Agnieszka A Golicz
- Department of Agrobioinformatics, IFZ Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich Buff Ring 26, 35392 Giessen, Germany
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2
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Peñuela M, Finke J, Rocha C. Methylomes as key features for predicting recombination in some plant species. PLANT MOLECULAR BIOLOGY 2024; 114:25. [PMID: 38457042 PMCID: PMC10924001 DOI: 10.1007/s11103-023-01396-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/27/2023] [Indexed: 03/09/2024]
Abstract
Knowing how chromosome recombination works is essential for plant breeding. It enables the design of crosses between different varieties to combine desirable traits and create new ones. This is because the meiotic crossovers between homologous chromatids are not purely random, and various strategies have been developed to describe and predict such exchange events. Recent studies have used methylation data to predict chromosomal recombination in rice using machine learning models. This approach proved successful due to the presence of a positive correlation between the CHH context cytosine methylation and recombination rates in rice chromosomes. This paper assesses the question if methylation can be used to predict recombination in four plant species: Arabidopsis, maize, sorghum, and tomato. The results indicate a positive association between CHH context methylation and recombination rates in certain plant species, with varying degrees of strength in their relationships. The CG and CHG methylation contexts show negative correlation with recombination. Methylation data was key effectively in predicting recombination in sorghum and tomato, with a mean determination coefficient of 0.65 ± 0.11 and 0.76 ± 0.05, respectively. In addition, the mean correlation values between predicted and experimental recombination rates were 0.83 ± 0.06 for sorghum and 0.90 ± 0.05 for tomato, confirming the significance of methylomes in both monocotyledonous and dicotyledonous species. The predictions for Arabidopsis and maize were not as accurate, likely due to the comparatively weaker relationships between methylation contexts and recombination, in contrast to sorghum and tomato, where stronger associations were observed. To enhance the accuracy of predictions, further evaluations using data sets closely related to each other might prove beneficial. In general, this methylome-based method holds great potential as a reliable strategy for predicting recombination rates in various plant species, offering valuable insights to breeders in their quest to develop novel and improved varieties.
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Affiliation(s)
- Mauricio Peñuela
- iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, 760031, Cali, Colombia.
| | - Jorge Finke
- iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, 760031, Cali, Colombia
| | - Camilo Rocha
- iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, 760031, Cali, Colombia
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3
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Peters SA, Underwood CJ. Technology-driven approaches for meiosis research in tomato and wild relatives. PLANT REPRODUCTION 2023; 36:97-106. [PMID: 36149478 PMCID: PMC9957858 DOI: 10.1007/s00497-022-00450-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/06/2022] [Indexed: 06/16/2023]
Abstract
Meiosis is a specialized cell division during reproduction where one round of chromosomal replication is followed by genetic recombination and two rounds of segregation to generate recombined, ploidy-reduced spores. Meiosis is crucial to the generation of new allelic combinations in natural populations and artificial breeding programs. Several plant species are used in meiosis research including the cultivated tomato (Solanum lycopersicum) which is a globally important crop species. Here we outline the unique combination of attributes that make tomato a powerful model system for meiosis research. These include the well-characterized behavior of chromosomes during tomato meiosis, readily available genomics resources, capacity for genome editing, clonal propagation techniques, lack of recent polyploidy and the possibility to generate hybrids with twelve related wild species. We propose that further exploitation of genome bioinformatics, genome editing and artificial intelligence in tomato will help advance the field of plant meiosis research. Ultimately this will help address emerging themes including the evolution of meiosis, how recombination landscapes are determined, and the effect of temperature on meiosis.
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Affiliation(s)
- Sander A Peters
- Business Unit Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
| | - Charles J Underwood
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.
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Peñuela M, Riccio-Rengifo C, Finke J, Rocha C, Gkanogiannis A, Wing RA, Lorieux M. Prediction of crossover recombination using parental genomes. PLoS One 2023; 18:e0281804. [PMID: 36795698 PMCID: PMC9934322 DOI: 10.1371/journal.pone.0281804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/01/2023] [Indexed: 02/17/2023] Open
Abstract
Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approaches to predict recombination rates for different species have been developed, they fail to estimate the outcome of crossings between two specific accessions. This paper builds on the hypothesis that chromosomal recombination correlates positively to a measure of sequence identity. It presents a model that uses sequence identity, combined with other features derived from a genome alignment (including the number of variants, inversions, absent bases, and CentO sequences) to predict local chromosomal recombination in rice. Model performance is validated in an inter-subspecific indica x japonica cross, using 212 recombinant inbred lines. Across chromosomes, an average correlation of about 0.8 between experimental and prediction rates is achieved. The proposed model, a characterization of the variation of the recombination rates along the chromosomes, can enable breeding programs to increase the chances of creating novel allele combinations and, more generally, to introduce new varieties with a collection of desirable traits. It can be part of a modern panel of tools that breeders can use to reduce costs and execution times of crossing experiments.
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Affiliation(s)
- Mauricio Peñuela
- Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali, Colombia
- * E-mail: (MP); (ML)
| | | | - Jorge Finke
- Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali, Colombia
| | - Camilo Rocha
- Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali, Colombia
| | | | - Rod A. Wing
- Arizona Genomics Institute, University of Arizona, Tucson, AZ, United States of America
| | - Mathias Lorieux
- AgroBiotechnology Unit, Alliance Bioversity-CIAT, Cali, Colombia
- DIADE, University of Montpellier, CIRAD, IRD, Montpellier, France
- * E-mail: (MP); (ML)
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van Rengs WMJ, Schmidt MHW, Effgen S, Le DB, Wang Y, Zaidan MWAM, Huettel B, Schouten HJ, Usadel B, Underwood CJ. A chromosome scale tomato genome built from complementary PacBio and Nanopore sequences alone reveals extensive linkage drag during breeding. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 110:572-588. [PMID: 35106855 DOI: 10.1111/tpj.15690] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 05/16/2023]
Abstract
The assembly and scaffolding of plant crop genomes facilitate the characterization of genetically diverse cultivated and wild germplasm. The cultivated tomato (Solanum lycopersicum) has been improved through the introgression of genetic material from related wild species, including resistance to pandemic strains of tobacco mosaic virus (TMV) from Solanum peruvianum. Here we applied PacBio HiFi and ONT Nanopore sequencing to develop independent, highly contiguous and complementary assemblies of an inbred TMV-resistant tomato variety. We show specific examples of how HiFi and ONT datasets can complement one another to improve assembly contiguity. We merged the HiFi and ONT assemblies to generate a long-read-only assembly where all 12 chromosomes were represented as 12 contiguous sequences (N50 = 68.5 Mbp). This chromosome scale assembly did not require scaffolding using an orthogonal data type. The merged assembly was validated by chromosome conformation capture data and is highly consistent with previous tomato genome assemblies that made use of genetic maps and Hi-C for scaffolding. Our long-read-only assembly reveals that a complex series of structural variants linked to the TMV resistance gene likely contributed to linkage drag of a 64.1-Mbp region of the S. peruvianum genome during tomato breeding. Through marker studies and ONT-based comprehensive haplotyping we show that this minimal introgression region is present in six cultivated tomato hybrid varieties developed in three commercial breeding programs. Our results suggest that complementary long read technologies can facilitate the rapid generation of near-complete genome sequences.
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Affiliation(s)
- Willem M J van Rengs
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | | | - Sieglinde Effgen
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Duyen Bao Le
- Heinrich Heine University Düsseldorf, Institute of Biological Data Science, Düsseldorf, Germany
| | - Yazhong Wang
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Mohd Waznul Adly Mohd Zaidan
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Bruno Huettel
- Max Planck-Genome-center Cologne, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Henk J Schouten
- Department of Plant Breeding, Wageningen University and Research, P.O. Box 386, 6700, AJ, Wageningen, The Netherlands
| | - Björn Usadel
- IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428, Jülich, Germany
- Heinrich Heine University Düsseldorf, Institute of Biological Data Science, Düsseldorf, Germany
| | - Charles J Underwood
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
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Fuentes RR, de Ridder D, van Dijk ADJ, Peters SA. Domestication shapes recombination patterns in tomato. Mol Biol Evol 2021; 39:6379725. [PMID: 34597400 PMCID: PMC8763028 DOI: 10.1093/molbev/msab287] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Meiotic recombination is a biological process of key importance in breeding, to generate genetic diversity and develop novel or agronomically relevant haplotypes. In crop tomato, recombination is curtailed as manifested by linkage disequilibrium decay over a longer distance and reduced diversity compared with wild relatives. Here, we compared domesticated and wild populations of tomato and found an overall conserved recombination landscape, with local changes in effective recombination rate in specific genomic regions. We also studied the dynamics of recombination hotspots resulting from domestication and found that loss of such hotspots is associated with selective sweeps, most notably in the pericentromeric heterochromatin. We detected footprints of genetic changes and structural variants, among them associated with transposable elements, linked with hotspot divergence during domestication, likely causing fine-scale alterations to recombination patterns and resulting in linkage drag.
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Affiliation(s)
- Roven Rommel Fuentes
- Bioinformatics Group, Wageningen University and Research, Droevendaalsesteeg 1, Wageningen, 6708 PB The Netherlands
| | - Dick de Ridder
- Bioinformatics Group, Wageningen University and Research, Droevendaalsesteeg 1, Wageningen, 6708 PB The Netherlands
| | - Aalt D J van Dijk
- Bioinformatics Group, Wageningen University and Research, Droevendaalsesteeg 1, Wageningen, 6708 PB The Netherlands
| | - Sander A Peters
- Applied Bioinformatics, Wageningen Plant Research, Wageningen University and Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, The Netherlands
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7
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Heterogeneous transposable elements as silencers, enhancers and targets of meiotic recombination. Chromosoma 2019; 128:279-296. [PMID: 31332531 DOI: 10.1007/s00412-019-00718-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 06/25/2019] [Accepted: 07/01/2019] [Indexed: 02/01/2023]
Abstract
During meiosis, DNA double-strand breaks are initiated by the topoisomerase-like enzyme SPO11 and are repaired by inter-sister chromatid and inter-homologue DNA repair pathways. Genome-wide maps of initiating DNA double-strand breaks and inter-homologue repair events are now available for a number of mammalian, fungal and plant species. In mammals, PRDM9 specifies the location of meiotic recombination initiation via recognition of specific DNA sequence motifs by its C2H2 zinc finger array. In fungi and plants, meiotic recombination appears to be initiated less discriminately in accessible chromatin, including at gene promoters. Generally, meiotic crossover is suppressed in highly repetitive genomic regions that are made up of transposable elements (TEs), to prevent deleterious non-allelic homologous recombination events. However, recent and older studies have revealed intriguing relationships between meiotic recombination initiation and repair, and transposable elements. For instance, gene conversion events have been detected in maize centromeric retroelements, mouse MULE-MuDR DNA transposons undergo substantial meiotic recombination initiation, Arabidopsis Helitron TEs are among the hottest of recombination initiation hotspots, and human TE sequences can modify the crossover rate at adjacent PRDM9 motifs in cis. Here, we summarize the relationship between meiotic recombination and TEs, discuss recent insights from highly divergent eukaryotes and highlight outstanding questions in the field.
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Rana MM, Takamatsu T, Baslam M, Kaneko K, Itoh K, Harada N, Sugiyama T, Ohnishi T, Kinoshita T, Takagi H, Mitsui T. Salt Tolerance Improvement in Rice through Efficient SNP Marker-Assisted Selection Coupled with Speed-Breeding. Int J Mol Sci 2019; 20:ijms20102585. [PMID: 31130712 PMCID: PMC6567206 DOI: 10.3390/ijms20102585] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 05/22/2019] [Accepted: 05/22/2019] [Indexed: 12/30/2022] Open
Abstract
Salinity critically limits rice metabolism, growth, and productivity worldwide. Improvement of the salt resistance of locally grown high-yielding cultivars is a slow process. The objective of this study was to develop a new salt-tolerant rice germplasm using speed-breeding. Here, we precisely introgressed the hst1 gene, transferring salinity tolerance from “Kaijin” into high-yielding “Yukinko-mai” (WT) rice through single nucleotide polymorphism (SNP) marker-assisted selection. Using a biotron speed-breeding technique, we developed a BC3F3 population, named “YNU31-2-4”, in six generations and 17 months. High-resolution genotyping by whole-genome sequencing revealed that the BC3F2 genome had 93.5% similarity to the WT and fixed only 2.7% of donor parent alleles. Functional annotation of BC3F2 variants along with field assessment data indicated that “YNU31-2-4” plants carrying the hst1 gene had similar agronomic traits to the WT under normal growth condition. “YNU31-2-4” seedlings subjected to salt stress (125 mM NaCl) had a significantly higher survival rate and increased shoot and root biomasses than the WT. At the tissue level, quantitative and electron probe microanalyzer studies indicated that “YNU31-2-4” seedlings avoided Na+ accumulation in shoots under salt stress. The “YNU31-2-4” plants showed an improved phenotype with significantly higher net CO2 assimilation and lower yield decline than WT under salt stress at the reproductive stage. “YNU31-2-4” is a potential candidate for a new rice cultivar that is highly tolerant to salt stress at the seedling and reproductive stages, and which might maintain yields under a changing global climate.
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Affiliation(s)
- Md Masud Rana
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Agronomy Division, Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh.
| | - Takeshi Takamatsu
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
| | - Marouane Baslam
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
| | - Kentaro Kaneko
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
| | - Kimiko Itoh
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
| | - Naoki Harada
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
| | - Toshie Sugiyama
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
| | - Takayuki Ohnishi
- Center for Education and Research of Community Collaboration, Utsunomiya University, Utsunomiya 321-8505, Japan.
| | - Tetsu Kinoshita
- Kihara Institute for Biological Research, Yokohama City University, Yokohama 244-0813, Japan.
| | - Hiroki Takagi
- Faculty of Bioresources and Environmental Sciences, Ishikawa Prefectural University, Ishikawa 921-8836, Japan.
| | - Toshiaki Mitsui
- Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
- Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
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Choi HK. Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding. Genes Genomics 2019; 41:133-146. [PMID: 30353370 PMCID: PMC6394800 DOI: 10.1007/s13258-018-0751-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 10/01/2018] [Indexed: 01/25/2023]
Abstract
Recent next generation sequencing-driven mass production of genomic data and multi-omics-integrated approaches have significantly contributed to broadening and deepening our knowledge on the molecular system of living organisms. Accordingly, translational genomics (TG) approach can play a pivotal role in creating an informational bridge between model systems and relatively less studied plants. This review focuses mainly on addressing recent advancement in omics-related technologies, a diverse array of bioinformatic resources and potential applications of TG for the crop breeding. To accomplish above objectives, information on omics data production, various DBs and high throughput technologies was collected, integrated, and used to analyze current status and future perspectives towards omics-assisted crop breeding. Various omics data and resources have been organized and integrated into the databases and/or bioinformatic infrastructures, and thereby serve as the ome's information center for cross-genome translation of biological data. Although the size of accumulated omics data and availability of reference genomes are different among plant families, translational approaches have been actively progressing to access particular biological characteristics. When multi-layered omics data are integrated in a synthetic manner, it will allow providing a stereoscopic view of dynamic molecular behavior and interacting networks of genes occurring in plants. Consequently, TG approach will lead us to broader and deeper insights into target traits for the plant breeding. Furthermore, such systems approach will renovate conventional breeding programs and accelerate precision crop breeding in the future.
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Affiliation(s)
- Hong-Kyu Choi
- Department of Molecular Genetics, College of Natural Resources and Life Science, Dong-A University, Nakdong-Daero 550-Beongil 37, Saha-Gu, Busan, 49315, Republic of Korea.
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