The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
High-Throughput SNP Genotyping to Accelerate Crop Improvement
Open accessAbstract
Recent advances in next-generation sequencing (NGS) and single nucleotide polymorphism (SNP) genotyping promise to greatly accelerate crop improvement if properly deployed.High-throughput SNP genotyping offers a number of advantages over previous marker systems, including an abundance of markers, rapid processing of large populations, a variety of genotyping systems to meet different needs, and straightforward allele calling and database storage due to the bi-allelic nature of SNP markers.NGS technologies have enabled rapid whole genome sequencing, providing extensive SNP discovery pools to select informative markers for different sets of germplasm.Highly multiplexed fixed array platforms have enabled powerful approaches such as genome-wide association studies.On the other hand, routine deployment of trait-specific SNP markers requires flexible, low-cost systems for genotyping smaller numbers of SNPs across large breeding populations, using platforms such as Fluidigm's Dynamic Arrays™, Douglas Scientific's Array Tape™, and LGC's automated systems for running KASP™ markers.At the same time, genotyping by sequencing (GBS) is rapidly becoming popular for low-cost high-density genome-wide scans through multiplexed sequencing.This review will discuss the range of options available to modern breeders for integrating SNP markers into their programs, whether by outsourcing to service providers or setting up in-house genotyping facilities, and will provide an example of SNP deployment for rice research and breeding as demonstrated by the Genotyping Services Lab at the International Rice Research Institute.
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Cites
TASSEL: software for association mapping of complex traits in diverse samples
Bradbury, P. J., Zhang, Z., Kroon, D. E., Casstevens, T. M., Ramdoss, Y., & Buckler, E. S. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm308 · Cited by 7,759
A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J. A., Kawamoto, K., Buckler, E. S., & Mitchell, S. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019379 · Cited by 6,501
A haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858
The map-based sequence of the rice genome
International Rice Genome Sequencing Project, & Sasaki, T. (2005) · Nature · doi:10.1038/nature03895 · Cited by 3,797
Rapid SNP Discovery and Genetic Mapping Using Sequenced RAD Markers
Baird, N. A., Etter, P. D., Atwood, T. S., Currey, M. C., Shiver, A. L., Lewis, Z. A., Selker, E. U., Cresko, W. A., & Johnson, E. A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003376 · Cited by 3,356
Genome-wide genetic marker discovery and genotyping using next-generation sequencing
Davey, J. W., Hohenlohe, P. A., Etter, P. D., Boone, J. Q., Catchen, J. M., & Blaxter, M. L. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3012 · Cited by 2,481
Genome-wide association studies of 14 agronomic traits in rice landraces
Huang, X., Wei, X., Sang, T., Zhao, Q., Feng, Q., Zhao, Y., Li, C., Zhu, C., Lu, T., Zhang, Z., et al. (2010) · Nature Genetics · doi:10.1038/ng.695 · Cited by 2,148
Stacks: Building and Genotyping Loci De Novo From Short-Read Sequences
Catchen, J. M., Amores, A., Hohenlohe, P., Cresko, W., & Postlethwait, J. H. (2011) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.111.000240 · Cited by 1,932
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Genomic Selection for Crop Improvement
Heffner, E. L., Sorrells, M. E., & Jannink, J. (2009) · Crop Science · doi:10.2135/cropsci2008.08.0512 · Cited by 1,652
Metadata
- Authors
- Thomson, M. J.
- Venue
- Plant Breeding and Biotechnology
- Publisher
- Korean Society of Breeding Science
- Published
- 2014-09-30
- Volume
- 2
- Issue
- 3
- Pages
- 195-212
- ISSN
- 2287-9358 (ISSN-L)
- 2287-9366
- OpenAlex
- W2003189057
- Cited by
- 405
- References
- 85
- FWCI
- 15.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
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