1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice
Autor: | Jessica Rutkoski, Tobias Kretzschmar, Erwin Tandayu, Joshua N. Cobb, John Damien Platten, Michael J. Thomson, John Carlos I. Ignacio, Annalhea Jarana, Maria Stefanie Dwiyanti, Krizzel Llantada, Juan David Arbelaez |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
0301 basic medicine Germplasm Breeding and genotyping Soil Science Oryza sativa Plant Science Computational biology Quantitative trait locus Biology lcsh:Plant culture 01 natural sciences Genome 03 medical and health sciences Single nucleotide polymorphism (SNP) Indica lcsh:SB1-1110 Plant breeding SNP fingerprinting Genotyping Genomic selection food and beverages Amplicon 030104 developmental biology Genetic marker Amplicon-based next generation sequencing Original Article Marker-assisted selection (MAS) Agronomy and Crop Science 010606 plant biology & botany |
Zdroj: | Rice, Vol 12, Iss 1, Pp 1-15 (2019) Rice |
ISSN: | 1939-8433 1939-8425 |
Popis: | Background While a multitude of genotyping platforms have been developed for rice, the majority of them have not been optimized for breeding where cost, turnaround time, throughput and ease of use, relative to density and informativeness are critical parameters of their utility. With that in mind we report the development of the 1K-Rice Custom Amplicon, or 1k-RiCA, a robust custom sequencing-based amplicon panel of ~ 1000-SNPs that are uniformly distributed across the rice genome, designed to be highly informative within indica rice breeding pools, and tailored for genomic prediction in elite indica rice breeding programs. Results Empirical validation tests performed on the 1k-RiCA showed average marker call rates of 95% with marker repeatability and concordance rates of 99%. These technical properties were not affected when two common DNA extraction protocols were used. The average distance between SNPs in the 1k-RiCA was 1.5 cM, similar to the theoretical distance which would be expected between 1,000 uniformly distributed markers across the rice genome. The average minor allele frequencies on a panel of indica lines was 0.36 and polymorphic SNPs estimated on pairwise comparisons between indica by indica accessions and indica by japonica accessions were on average 430 and 450 respectively. The specific design parameters of the 1k-RiCA allow for a detailed view of genetic relationships and unambiguous molecular IDs within indica accessions and good cost vs. marker-density balance for genomic prediction applications in elite indica germplasm. Predictive abilities of Genomic Selection models for flowering time, grain yield, and plant height were on average 0.71, 0.36, and 0.65 respectively based on cross-validation analysis. Furthermore the inclusion of important trait markers associated with 11 different genes and QTL adds value to parental selection in crossing schemes and marker-assisted selection in forward breeding applications. Conclusions This study validated the marker quality and robustness of the 1k-RiCA genotypic platform for genotyping populations derived from indica rice subpopulation for genetic and breeding purposes including MAS and genomic selection. The 1k-RiCA has proven to be an alternative cost-effective genotyping system for breeding applications. Electronic supplementary material The online version of this article (10.1186/s12284-019-0311-0) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
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