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Oh JE, Kim JE, Kim J, Lee MH, Lee K, Kim TH, Jo SH, Lee JH. Development of an SNP marker set for marker-assisted backcrossing using genotyping-by-sequencing in tetraploid perilla. Mol Genet Genomics 2023; 298:1435-1447. [PMID: 37725237 DOI: 10.1007/s00438-023-02066-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 08/26/2023] [Indexed: 09/21/2023]
Abstract
High-quality molecular markers are essential for marker-assisted selection to accelerate breeding progress. Compared with diploid species, recently diverged polyploid crop species tend to have highly similar homeologous subgenomes, which is expected to limit the development of broadly applicable locus-specific single-nucleotide polymorphism (SNP) assays. Furthermore, it is particularly challenging to make genome-wide marker sets for species that lack a reference genome. Here, we report the development of a genome-wide set of kompetitive allele specific PCR (KASP) markers for marker-assisted recurrent selection (MARS) in the tetraploid minor crop perilla. To find locus-specific SNP markers across the perilla genome, we used genotyping-by-sequencing (GBS) to construct linkage maps of two F2 populations. The two resulting high-resolution linkage maps comprised 2326 and 2454 SNP markers that spanned a total genetic distance of 2133 cM across 16 linkage groups and 2169 cM across 21 linkage groups, respectively. We then obtained a final genetic map consisting of 22 linkage groups with 1123 common markers from the two genetic maps. We selected 96 genome-wide markers for MARS and confirmed the accuracy of markers in the two F2 populations using a high-throughput Fluidigm system. We confirmed that 91.8% of the SNP genotyping results from the Fluidigm assay were the same as the results obtained through GBS. These results provide a foundation for marker-assisted backcrossing and the development of new varieties of perilla.
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Affiliation(s)
- Jae-Eun Oh
- SEEDERS Inc, Daejeon, 34912, Republic of Korea
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea
| | - Ji-Eun Kim
- SEEDERS Inc, Daejeon, 34912, Republic of Korea
| | - Jangmi Kim
- SEEDERS Inc, Daejeon, 34912, Republic of Korea
| | - Myoung-Hee Lee
- National Institute of Crop Science, RDA, Miryang, 50424, Republic of Korea
| | - Keunpyo Lee
- National Academy of Agricultural Science, RDA, Wanju, 55365, Republic of Korea
| | - Tae-Ho Kim
- National Academy of Agricultural Science, RDA, Wanju, 55365, Republic of Korea
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Rossetto M, Yap JYS, Lemmon J, Bain D, Bragg J, Hogbin P, Gallagher R, Rutherford S, Summerell B, Wilson TC. A conservation genomics workflow to guide practical management actions. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01492] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Sun C, Dong Z, Zhao L, Ren Y, Zhang N, Chen F. The Wheat 660K SNP array demonstrates great potential for marker-assisted selection in polyploid wheat. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:1354-1360. [PMID: 32065714 PMCID: PMC7206996 DOI: 10.1111/pbi.13361] [Citation(s) in RCA: 108] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/22/2020] [Accepted: 02/01/2020] [Indexed: 05/11/2023]
Abstract
The rapid development and application of molecular marker assays have facilitated genomic selection and genome-wide linkage and association studies in wheat breeding. Although PCR-based markers (e.g. simple sequence repeats and functional markers) and genotyping by sequencing have contributed greatly to gene discovery and marker-assisted selection, the release of a more accurate and complete bread wheat reference genome has resulted in the design of single-nucleotide polymorphism (SNP) arrays based on different densities or application targets. Here, we evaluated seven types of wheat SNP arrays in terms of their SNP number, distribution, density, associated genes, heterozygosity and application. The results suggested that the Wheat 660K SNP array contained the highest percentage (99.05%) of genome-specific SNPs with reliable physical positions. SNP density analysis indicated that the SNPs were almost evenly distributed across the whole genome. In addition, 229 266 SNPs in the Wheat 660K SNP array were located in 66 834 annotated gene or promoter intervals. The annotated genes revealed by the Wheat 660K SNP array almost covered all genes revealed by the Wheat 35K (97.44%), 55K (99.73%), 90K (86.9%) and 820K (85.3%) SNP arrays. Therefore, the Wheat 660K SNP array could act as a substitute for other 6 arrays and shows promise for a wide range of possible applications. In summary, the Wheat 660K SNP array is reliable and cost-effective and may be the best choice for targeted genotyping and marker-assisted selection in wheat genetic improvement.
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Affiliation(s)
- Congwei Sun
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Zhongdong Dong
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Lei Zhao
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Yan Ren
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Ning Zhang
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Feng Chen
- National Key Laboratory of Wheat and Maize Crop Science/Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
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Yap JS, Merwe M, Ford AJ, Henry RJ, Rossetto M. Biotic exchange leaves detectable genomic patterns in the Australian rain forest flora. Biotropica 2020. [DOI: 10.1111/btp.12776] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jia‐Yee S. Yap
- National Herbarium of New South Wales Royal Botanic Garden Sydney NSW Australia
- Queensland Alliance of Agriculture and Food Innovation University of Queensland Brisbane Qld Australia
| | - Marlien Merwe
- National Herbarium of New South Wales Royal Botanic Garden Sydney NSW Australia
| | - Andrew J. Ford
- CSIRO, Land and Water Tropical Forest Research Centre Atherton Qld Australia
| | - Robert J. Henry
- Queensland Alliance of Agriculture and Food Innovation University of Queensland Brisbane Qld Australia
| | - Maurizio Rossetto
- National Herbarium of New South Wales Royal Botanic Garden Sydney NSW Australia
- Queensland Alliance of Agriculture and Food Innovation University of Queensland Brisbane Qld Australia
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Rasheed A, Xia X. From markers to genome-based breeding in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:767-784. [PMID: 30673804 DOI: 10.1007/s00122-019-03286-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 01/16/2019] [Indexed: 05/22/2023]
Abstract
Recent technological advances in wheat genomics provide new opportunities to uncover genetic variation in traits of breeding interest and enable genome-based breeding to deliver wheat cultivars for the projected food requirements for 2050. There has been tremendous progress in development of whole-genome sequencing resources in wheat and its progenitor species during the last 5 years. High-throughput genotyping is now possible in wheat not only for routine gene introgression but also for high-density genome-wide genotyping. This is a major transition phase to enable genome-based breeding to achieve progressive genetic gains to parallel to projected wheat production demands. These advances have intrigued wheat researchers to practice less pursued analytical approaches which were not practiced due to the short history of genome sequence availability. Such approaches have been successful in gene discovery and breeding applications in other crops and animals for which genome sequences have been available for much longer. These strategies include, (i) environmental genome-wide association studies in wheat genetic resources stored in genbanks to identify genes for local adaptation by using agroclimatic traits as phenotypes, (ii) haplotype-based analyses to improve the statistical power and resolution of genomic selection and gene mapping experiments, (iii) new breeding strategies for genome-based prediction of heterosis patterns in wheat, and (iv) ultimate use of genomics information to develop more efficient and robust genome-wide genotyping platforms to precisely predict higher yield potential and stability with greater precision. Genome-based breeding has potential to achieve the ultimate objective of ensuring sustainable wheat production through developing high yielding, climate-resilient wheat cultivars with high nutritional quality.
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Affiliation(s)
- Awais Rasheed
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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Rossetto M, Bragg J, Kilian A, McPherson H, van der Merwe M, Wilson PD. Restore and Renew: a genomics‐era framework for species provenance delimitation. Restor Ecol 2018. [DOI: 10.1111/rec.12898] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Maurizio Rossetto
- National Herbarium of New South WalesRoyal Botanic Garden Sydney Mrs Macquaries Road, Sydney NSW 2000 Australia
| | - Jason Bragg
- National Herbarium of New South WalesRoyal Botanic Garden Sydney Mrs Macquaries Road, Sydney NSW 2000 Australia
| | - Andrzej Kilian
- Diversity Arrays TechnologyUniversity of Canberra Bruce ACT 2617 Australia
| | - Hannah McPherson
- National Herbarium of New South WalesRoyal Botanic Garden Sydney Mrs Macquaries Road, Sydney NSW 2000 Australia
| | - Marlien van der Merwe
- National Herbarium of New South WalesRoyal Botanic Garden Sydney Mrs Macquaries Road, Sydney NSW 2000 Australia
| | - Peter D. Wilson
- National Herbarium of New South WalesRoyal Botanic Garden Sydney Mrs Macquaries Road, Sydney NSW 2000 Australia
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Rasheed A, Mujeeb-Kazi A, Ogbonnaya FC, He Z, Rajaram S. Wheat genetic resources in the post-genomics era: promise and challenges. ANNALS OF BOTANY 2018; 121:603-616. [PMID: 29240874 PMCID: PMC5852999 DOI: 10.1093/aob/mcx148] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 10/13/2017] [Indexed: 05/18/2023]
Abstract
Background Wheat genetic resources have been used for genetic improvement since 1876, when Stephen Wilson (Transactions and Proceedings of the Botanical Society of Edinburgh 12: 286) consciously made the first wide hybrid involving wheat and rye in Scotland. Wide crossing continued with sporadic attempts in the first half of 19th century and became a sophisticated scientific discipline during the last few decades with considerable impact in farmers' fields. However, a large diversity of untapped genetic resources could contribute in meeting future wheat production challenges. Perspectives and Conclusion Recently the complete reference genome of hexaploid (Chinese Spring) and tetraploid (Triticum turgidum ssp. dicoccoides) wheat became publicly available coupled with on-going international efforts on wheat pan-genome sequencing. We anticipate that an objective appraisal is required in the post-genomics era to prioritize genetic resources for use in the improvement of wheat production if the goal of doubling yield by 2050 is to be met. Advances in genomics have resulted in the development of high-throughput genotyping arrays, improved and efficient methods of gene discovery, genomics-assisted selection and gene editing using endonucleases. Likewise, ongoing advances in rapid generation turnover, improved phenotyping, envirotyping and analytical methods will significantly accelerate exploitation of exotic genes and increase the rate of genetic gain in breeding. We argue that the integration of these advances will significantly improve the precision and targeted identification of potentially useful variation in the wild relatives of wheat, providing new opportunities to contribute to yield and quality improvement, tolerance to abiotic stresses, resistance to emerging biotic stresses and resilience to weather extremes.
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Affiliation(s)
- Awais Rasheed
- International Maize and Wheat Improvement Center (CIMMYT), c/o Chinese Academy of Agricultural Sciences (CAAS), China
- Institute of Crop Sciences, CAAS, China
| | | | | | - Zhonghu He
- International Maize and Wheat Improvement Center (CIMMYT), c/o Chinese Academy of Agricultural Sciences (CAAS), China
- Institute of Crop Sciences, CAAS, China
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Rasheed A, Hao Y, Xia X, Khan A, Xu Y, Varshney RK, He Z. Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives. MOLECULAR PLANT 2017; 10:1047-1064. [PMID: 28669791 DOI: 10.1016/j.molp.2017.06.008] [Citation(s) in RCA: 219] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/29/2017] [Accepted: 06/19/2017] [Indexed: 05/18/2023]
Abstract
There is a rapidly rising trend in the development and application of molecular marker assays for gene mapping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing (GBS) platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop molecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype-phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of (a) rapid development in gene discovery of important traits, (b) deepened understanding of quantitative traits through new analytical models and population designs, (c) integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and (d) improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change.
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Affiliation(s)
- Awais Rasheed
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China; International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, Beijing 100081, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Awais Khan
- Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Geneva, NY, USA
| | - Yunbi Xu
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China; International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, Beijing 100081, China
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, India
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China; International Maize and Wheat Improvement Center (CIMMYT), c/o CAAS, Beijing 100081, China.
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Rangan P, Furtado A, Henry RJ. Commentary: New evidence for grain specific C 4 photosynthesis in wheat. FRONTIERS IN PLANT SCIENCE 2016; 7:1537. [PMID: 27807439 PMCID: PMC5070121 DOI: 10.3389/fpls.2016.01537] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 09/29/2016] [Indexed: 05/23/2023]
Affiliation(s)
- Parimalan Rangan
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandBrisbane, QLD, Australia
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic ResourcesNew Delhi, India
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandBrisbane, QLD, Australia
| | - Robert J. Henry
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandBrisbane, QLD, Australia
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Brozynska M, Furtado A, Henry RJ. Genomics of crop wild relatives: expanding the gene pool for crop improvement. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:1070-85. [PMID: 26311018 DOI: 10.1111/pbi.12454] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Revised: 06/26/2015] [Accepted: 07/16/2015] [Indexed: 05/20/2023]
Abstract
Plant breeders require access to new genetic diversity to satisfy the demands of a growing human population for more food that can be produced in a variable or changing climate and to deliver the high-quality food with nutritional and health benefits demanded by consumers. The close relatives of domesticated plants, crop wild relatives (CWRs), represent a practical gene pool for use by plant breeders. Genomics of CWR generates data that support the use of CWR to expand the genetic diversity of crop plants. Advances in DNA sequencing technology are enabling the efficient sequencing of CWR and their increased use in crop improvement. As the sequencing of genomes of major crop species is completed, attention has shifted to analysis of the wider gene pool of major crops including CWR. A combination of de novo sequencing and resequencing is required to efficiently explore useful genetic variation in CWR. Analysis of the nuclear genome, transcriptome and maternal (chloroplast and mitochondrial) genome of CWR is facilitating their use in crop improvement. Genome analysis results in discovery of useful alleles in CWR and identification of regions of the genome in which diversity has been lost in domestication bottlenecks. Targeting of high priority CWR for sequencing will maximize the contribution of genome sequencing of CWR. Coordination of global efforts to apply genomics has the potential to accelerate access to and conservation of the biodiversity essential to the sustainability of agriculture and food production.
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Affiliation(s)
- Marta Brozynska
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
| | - Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
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Henry RJ, Rangan P, Furtado A. Functional cereals for production in new and variable climates. CURRENT OPINION IN PLANT BIOLOGY 2016; 30:11-18. [PMID: 26828379 DOI: 10.1016/j.pbi.2015.12.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 12/14/2015] [Accepted: 12/22/2015] [Indexed: 06/05/2023]
Abstract
Adaptation of cereal crops to variable or changing climates requires that essential quality attributes are maintained to deliver food that will be acceptable to human consumers. Advances in cereal genomics are delivering insights into the molecular basis of nutritional and functional quality traits in cereals and defining new genetic resources. Understanding the influence of the environment on expression of these traits will support the retention of these essential functional properties during climate adaptation. New cereals for use as whole grain or ground to flour for other food products may be based upon the traditional species such as rice and wheat currently used in these food applications but may also include new options exploiting genomics tools to allow accelerated domestication of new species.
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Affiliation(s)
- Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia.
| | - Parimalan Rangan
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072, Australia
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