Evidence map›Paper›PMID 28856618›Full record

ArticleRice (New York, N.Y.)2017

Large-scale deployment of a rice 6 K SNP array for genetics and breeding applications.

Michael J Thomson, Namrata Singh, Maria S Dwiyanti, Diane R Wang, Mark H Wright, Francisco Agosto Perez, Genevieve DeClerck, Joong Hyoun Chin, Geraldine A Malitic-Layaoen, Venice Margarette Juanillas and 4 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

63 citing papers in PubMed, 114 citations in OpenAlex.

  1. Review
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  9. The Ratio of ARice (New York, N.Y.) · 2024
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  16. Review
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3 more citing papers are in PubMed but not listed here.

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

14 authors at 3 institutions in 4 countries.

Michael J ThomsonDepartment of Soil and Crop Sciences, Texas A&M University, College Station, Houston, TX, 77843, USA. m.thomson@tamu.edu.
Namrata SinghSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA.
Maria S DwiyantiInternational Rice Research Institute, Los Baños, Philippines.
Diane R WangSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA.
Mark H WrightSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA.
Francisco Agosto PerezSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA.
Genevieve DeClerckSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA.
Joong Hyoun ChinInternational Rice Research Institute, Los Baños, Philippines.
Geraldine A Malitic-LayaoenInternational Rice Research Institute, Los Baños, Philippines.
Venice Margarette JuanillasInternational Rice Research Institute, Los Baños, Philippines.
Christine J Dilla-ErmitaInternational Rice Research Institute, Los Baños, Philippines.
Ramil MauleonInternational Rice Research Institute, Los Baños, Philippines.
Tobias KretzschmarInternational Rice Research Institute, Los Baños, Philippines.
Susan R McCouchSchool of Integrative Plant Sciences, Plant Breeding and Genetics Section, Cornell University, Ithaca, New York, 14853, USA. srm4@cornell.edu.ORCID http://orcid.org/0000-0001-9246-3106
International Rice Research Institute · PHCornell University · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFixed arrays of single nucleotide polymorphism (SNP) markers have advantages over reduced representation sequencing in their ease of data analysis, consistently higher call rates, and rapid turnaround times. A 6 K SNP array represents a cost-benefit "sweet spot" for routine genetics and breeding applications in rice. Selection of informative SNPs across species and subpopulations during chip design is essential to obtain useful polymorphism rates for target germplasm groups. This paper summarizes results from large-scale deployment of an Illumina 6 K SNP array for rice.

resultsDesign of the Illumina Infinium 6 K SNP chip for rice, referred to as the Cornell_6K_Array_Infinium_Rice (C6AIR), includes 4429 SNPs from re-sequencing data and 1571 SNP markers from previous BeadXpress 384-SNP sets, selected based on polymorphism rate and allele frequency within and between target germplasm groups. Of the 6000 attempted bead types, 5274 passed Illumina's production quality control. The C6AIR was widely deployed at the International Rice Research Institute (IRRI) for genetic diversity analysis, QTL mapping, and tracking introgressions and was intensively used at Cornell University for QTL analysis and developing libraries of interspecific chromosome segment substitution lines (CSSLs) between O. sativa and diverse accessions of O. rufipogon or O. meridionalis. Collectively, the array was used to genotype over 40,000 rice samples. A set of 4606 SNP markers was used to provide high quality data for O. sativa germplasm, while a slightly expanded set of 4940 SNPs was used for O. sativa X O. rufipogon populations. Biparental polymorphism rates were generally between 1900 and 2500 well-distributed SNP markers for indica x japonica or interspecific populations and between 1300 and 1500 markers for crosses within indica, while polymorphism rates were lower for pairwise crosses within U.S. tropical japonica germplasm. Recently, a second-generation array containing ~7000 SNP markers, referred to as the C7AIR, was designed by removing poor-performing SNPs from the C6AIR and adding markers selected to increase the utility of the array for elite tropical japonica material.

conclusionsThe C6AIR has been successfully used to generate rapid and high-quality genotype data for diverse genetics and breeding applications in rice, and provides the basis for an optimized design in the C7AIR.

Indexed as

CSSL developmentHigh-throughput genotypingO. rufipogonOryza sativaRice diversitySingle nucleotide polymorphism (SNP)SNP fingerprinting

Identifiers

PMID28856618
PMCPMC5577349
OpenAlexW2753421604

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.