Evidence map›Paper›PMID 31116793›Full record

ArticlePloS one2019

Comparison of TaqMan, KASP and rhAmp SNP genotyping platforms in hexaploid wheat.

Habtamu Ayalew, Pak Wah Tsang, Chenggen Chu, Junzhou Wang, Shuyu Liu, Caifu Chen, Xue-Feng Ma

Abstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

  1. Article
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  11. Allele-tagged TaqManMolecular biology reports · 2024
    Article
  12. Article
  13. Review
  14. History and prospects of flax genetic markers.Frontiers in plant science · 2024
    Review
  15. Article
  16. Review
  17. Article
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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

7 authors.

Habtamu AyalewNoble Research Institute, Ardmore, Oklahoma, United States of America.ORCID 0000-0002-4778-9008
Pak Wah TsangCenter of Excellence for Research and Development, Integrated DNA Technologies, Redwood City, California, United States of America.
Chenggen ChuTexas A&M AgriLife Research, Amarillo, Texas, United States of America.
Junzhou WangCenter of Excellence for Research and Development, Integrated DNA Technologies, Redwood City, California, United States of America.
Shuyu LiuTexas A&M AgriLife Research, Amarillo, Texas, United States of America.
Caifu ChenCenter of Excellence for Research and Development, Integrated DNA Technologies, Redwood City, California, United States of America.
Xue-Feng MaNoble Research Institute, Ardmore, Oklahoma, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in high-throughput genotyping enable the generation of genome-scale data much more easily and at lower cost than ever before. However, small-scale and cost-effective high-throughput single-nucleotide polymorphism (SNP) genotyping technologies are still under development. In this study, we compared the performances of TaqMan, KASP and rhAmp SNP genotyping platforms in terms of their assay design flexibility, assay design success rate, allele call rate and quality, ease of experiment run and cost per sample. Fifty SNP markers linked to genes governing various agronomic traits of wheat were chosen to design SNP assays. Design success rates were 39/50, 49/50, and 49/50 for TaqMan, KASP, and rhAmp, respectively, and 30 SNP assays were manufactured for genotyping comparisons across the three platforms. rhAmp showed 97% of samples amplified while TaqMan and KASP showed 93% and 93.5% of amplifications, respectively. Allele call quality of rhAmp was 97%, while it was 98% for both TaqMan and KASP. rhAmp and KASP showed significantly better (p < 0.001) allele discrimination than TaqMan; however, TaqMan showed the most compact cluster. Based on the current market, rhAmp was the least expensive technology followed by KASP. In conclusion, rhAmp provides a reliable and cost-effective option for targeted genotyping and marker-assisted selection in crop genetic improvement.

Indexed as

Genes, PlantPloidiesPolymorphism, Single NucleotideAllelesGenotypePolymerase Chain ReactionTriticum

Identifiers

PMID31116793
PMCPMC6530864

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Registered trials

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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.