Evidence map›Paper›PMID 33766048›Full record

ArticlePlant methods2021

K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology.

Peio Ziarsolo, Tomas Hasing, Rebeca Hilario, Victor Garcia-Carpintero, Jose Blanca, Aureliano Bombarely, Joaquin Cañizares

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Peio ZiarsoloCOMAV, Universitat Politècnica de València, 46022, Valencia, Spain.ORCID http://orcid.org/0000-0001-9002-5516
Tomas HasingSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
Rebeca HilarioCOMAV, Universitat Politècnica de València, 46022, Valencia, Spain.
Victor Garcia-CarpinteroCOMAV, Universitat Politècnica de València, 46022, Valencia, Spain.
Jose BlancaCOMAV, Universitat Politècnica de València, 46022, Valencia, Spain.
Aureliano BombarelySchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA. aureliano.bombarely@unimi.it.
Joaquin CañizaresCOMAV, Universitat Politècnica de València, 46022, Valencia, Spain. jcanizares@upv.es.
Universitat Politècnica de València · ESLife Systems (United States) · USParc Científic de la Universitat de València · ESUniversity of Milan · IT

Funding

Universitat Politècnica de València 20180051
6 · The paper itself

Abstract

backgroundK-seq, a new genotyping methodology based on the amplification of genomic regions using two steps of Klenow amplification with short oligonucleotides, followed by standard PCR and Illumina sequencing, is presented. The protocol was accompanied by software developed to aid with primer set design.

resultsAs the first examples, K-seq in species as diverse as tomato, dog and wheat was developed. K-seq provided genetic distances similar to those based on WGS in dogs. Experiments comparing K-seq and GBS in tomato showed similar genetic results, although K-seq had the advantage of finding more SNPs for the same number of Illumina reads. The technology reproducibility was tested with two independent runs of the tomato samples, and the correlation coefficient of the SNP coverages between samples was 0.8 and the genotype match was above 94%. K-seq also proved to be useful in polyploid species. The wheat samples generated specific markers for all subgenomes, and the SNPs generated from the diploid ancestors were located in the expected subgenome with accuracies greater than 80%.

conclusionK-seq is an open, patent-unencumbered, easy-to-set-up, cost-effective and reliable technology ready to be used by any molecular biology laboratory without special equipment in many genetic studies.

Indexed as

GenotypingGRRKlenow polymeraseK-merK-seqLow costNGSSNP

Identifiers

PMID33766048
PMCPMC7993484
OpenAlexW3102062431

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.