Evidence map›Paper›PMID 31350673›Full record

ArticleRice (New York, N.Y.)2019

1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice.

Juan David Arbelaez, Maria Stefanie Dwiyanti, Erwin Tandayu, Krizzel Llantada, Annalhea Jarana, John Carlos Ignacio, John Damien Platten, Joshua Cobb, Jessica Elaine Rutkoski, Michael J Thomson and 1 more

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Juan David ArbelaezInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Maria Stefanie DwiyantiResearch Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, 060-8589, Japan.
Erwin TandayuInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Krizzel LlantadaInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Annalhea JaranaInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
John Carlos IgnacioInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
John Damien PlattenInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Joshua CobbInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Jessica Elaine RutkoskiInternational Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Michael J ThomsonDepartment of Soil and Crop Sciences, Texas A&M University, College Station, Houston, TX, 77843, USA.
Tobias KretzschmarSouthern Cross Plant Sciences, Southern Cross University, PO Box 157, Lismore, NSW, 2480, Australia. Tobias.Kretzschmar@scu.edu.au.ORCID http://orcid.org/0000-0002-8227-0746

Funding

Bill & Melinda Gates Foundation OPP1076488
6 · The paper itself

Abstract

backgroundWhile 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.

resultsEmpirical 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.

conclusionsThis 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.

Indexed as

Amplicon-based next generation sequencingBreeding and genotypingGenomic selectionIndicaMarker-assisted selection (MAS)Oryza sativaSingle nucleotide polymorphism (SNP)SNP fingerprinting

Identifiers

PMID31350673
PMCPMC6660535

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.